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AbstractIntroduction. We report a very rare case of familial breast cancer and diffuse gastric cancer, with germline pathogenic variants in both BRCA1 and CDH1 genes. To the best of our knowledge, this is the first report of such an association.Family description. The proband is a woman diagnosed with breast cancer at the age of 52 years.

She requested genetic counselling in 2012, at the age of 91 years, because of a history of breast cancer in her daughter, her sister, her niece and her paternal grandmother and was therefore concerned about her relatives. Her sister and maternal aunt also had gastric cancer. She was tested for several genes associated with hereditary breast cancer.Results. A large deletion of BRCA1 from exons 1 to 7 and two CDH1 pathogenic cis variants were identified.Conclusion.

This complex situation is challenging for genetic counselling and management of at-risk individuals.cancer. Breastcancer. Gastricclinical geneticsgenetic screening/counsellingmolecular geneticsIntroductionGLI-Kruppel family member 3 (GLI3) encodes for a zinc finger transcription factor which plays a key role in the sonic hedgehog (SHH) signalling pathway essential in both limb and craniofacial development.1 2 In hand development, SHH is expressed in the zone of polarising activity (ZPA) on the posterior side of the handplate. The ZPA expresses SHH, creating a gradient of SHH from the posterior to the anterior side of the handplate.

In the presence of SHH, full length GLI3-protein is produced (GLI3A), whereas absence of SHH causes cleavage of GLI3 into its repressor form (GLI3R).3 4 Abnormal expression of this SHH/GLI3R gradient can cause both preaxial and postaxial polydactyly.2Concordantly, pathogenic DNA variants in the GLI3 gene are known to cause multiple syndromes with craniofacial and limb involvement, such as. Acrocallosal syndrome5 (OMIM. 200990), Greig cephalopolysyndactyly syndrome6 (OMIM. 175700) and Pallister-Hall syndrome7 (OMIM.

146510). Also, in non-syndromic polydactyly, such as preaxial polydactyly-type 4 (PPD4, OMIM. 174700),8 pathogenic variants in GLI3 have been described. Out of these diseases, Pallister-Hall syndrome is the most distinct entity, defined by the presence of central polydactyly and hypothalamic hamartoma.9 The other GLI3 syndromes are defined by the presence of preaxial and/or postaxial polydactyly of the hand and feet with or without syndactyly (Greig syndrome, PPD4).

Also, various mild craniofacial features such as hypertelorism and macrocephaly can occur. Pallister-Hall syndrome is caused by truncating variants in the middle third of the GLI3 gene.10–12 The truncation of GLI3 causes an overexpression of GLI3R, which is believed to be the key difference between Pallister-Hall and the GLI3-mediated polydactyly syndromes.9 11 Although multiple attempts have been made, the clinical and genetic distinction between the GLI3-mediated polydactyly syndromes is less evident. This has for example led to the introduction of subGreig and the formulation of an Oro-facial-digital overlap syndrome.10 Other authors, suggested that we should not regard these diseases as separate entities, but as a spectrum of GLI3-mediated polydactyly syndromes.13Although phenotype/genotype correlation of the different syndromes has been cumbersome, clinical and animal studies do provide evidence that distinct regions within the gene, could be related to the individual anomalies contributing to these syndromes. First, case studies show isolated preaxial polydactyly is caused by both truncating and non-truncating variants throughout the GLI3 gene, whereas in isolated postaxial polydactyly cases truncating variants at the C-terminal side of the gene are observed.12 14 These results suggest two different groups of variants for preaxial and postaxial polydactyly.

Second, recent animal studies suggest that posterior malformations in GLI3-mediated polydactyly syndromes are likely related to a dosage effect of GLI3R rather than due to the influence of an altered GLI3A expression.15Past attempts for phenotype/genotype correlation in GLI3-mediated polydactyly syndromes have directly related the diagnosed syndrome to the observed genotype.10–12 16 Focusing on individual hand phenotypes, such as preaxial and postaxial polydactyly and syndactyly might be more reliable because it prevents misclassification due to inconsistent use of syndrome definition. Subsequently, latent class analysis (LCA) provides the possibility to relate a group of observed variables to a set of latent, or unmeasured, parameters and thereby identifying different subgroups in the obtained dataset.17 As a result, LCA allows us to group different phenotypes within the GLI3-mediated polydactyly syndromes and relate the most important predictors of the grouped phenotypes to the observed GLI3 variants.The aim of our study was to further investigate the correlation of the individual phenotypes to the genotypes observed in GLI3-mediated polydactyly syndromes, using LCA. Cases were obtained by both literature review and the inclusion of local clinical cases. Subsequently, we identified two subclasses of limb anomalies that relate to the underlying GLI3 variant.

We provide evidence for two different phenotypic and genotypic groups with predominantly preaxial and postaxial hand and feet anomalies, and we specify those cases with a higher risk for corpus callosum anomalies.MethodsLiterature reviewThe Human Gene Mutation Database (HGMD Professional 2019) was reviewed to identify known pathogenic variants in GLI3 and corresponding phenotypes.18 All references were obtained and cases were included when they were diagnosed with either Greig or subGreig syndrome or PPD4.10–12 Pallister-Hall syndrome and acrocallosal syndrome were excluded because both are regarded distinct syndromes and rather defined by the presence of the non-hand anomalies, than the presence of preaxial or postaxial polydactyly.13 19 Isolated preaxial or postaxial polydactyly were excluded for two reasons. The phenotype/genotype correlations are better understood and both anomalies can occur sporadically which could introduce falsely assumed pathogenic GLI3 variants in the analysis. Additionally, cases were excluded when case-specific phenotypic or genotypic information was not reported or if these two could not be related to each other. Families with a combined phenotypic description, not reducible to individual family members, were included as one case in the analysis.Clinical casesThe Sophia Children’s Hospital Database was reviewed for cases with a GLI3 variant.

Within this population, the same inclusion criteria for the phenotype were valid. Relatives of the index patients were also contacted for participation in this study, when they showed comparable hand, foot, or craniofacial malformations or when a GLI3 variant was identified. Phenotypes of the hand, foot and craniofacial anomalies of the patients treated in the Sophia Children's Hospital were collected using patient documentation. Family members were identified and if possible, clinically verified.

Alternatively, family members were contacted to verify their phenotypes. If no verification was possible, cases were excluded.PhenotypesThe phenotypes of both literature cases and local cases were extracted in a similar fashion. The most frequently reported limb and craniofacial phenotypes were dichotomised. The dichotomised hand and foot phenotypes were preaxial polydactyly, postaxial polydactyly and syndactyly.

Broad halluces or thumbs were commonly reported by authors and were dichotomised as a presentation of preaxial polydactyly. The extracted dichotomised craniofacial phenotypes were hypertelorism, macrocephaly and corpus callosum agenesis. All other phenotypes were registered, but not dichotomised.Pathogenic GLI3 variantsAll GLI3 variants were extracted and checked using Alamut Visual V.2.14. If indicated, variants were renamed according to standard Human Genome Variation Society nomenclature.20 Variants were grouped in either missense, frameshift, nonsense or splice site variants.

In the group of frameshift variants, a subgroup with possible splice site effect were identified for subgroup analysis when indicated. Similarly, nonsense variants prone for nonsense mediated decay (NMD) and nonsense variants with experimentally confirmed NMD were identified.21 Deletions of multiple exons, CNVs and translocations were excluded for analysis. A full list of included mutations is available in the online supplementary materials.Supplemental materialThe location of the variant was compared with five known structural domains of the GLI3 gene. (1) repressor domain, (2) zinc finger domain, (3) cleavage site, (4) activator domain, which we defined as a concatenation of the separately identified transactivation zones, the CBP binding domain and the mediator binding domain (MBD) and (5) the MID1 interaction region domain.1 6 22–24 The boundaries of each of the domains were based on available literature (figure 1, exact locations available in the online supplementary materials).

The boundaries used by different authors did vary, therefore a consensus was made.In this figure the posterior probability of an anterior phenotype is plotted against the location of the variant, stratified for the type of mutation that was observed. For better overview, only variants with a location effect were displayed. The full figure, including all variant types, can be found in the online supplementary figure 1. Each mutation is depicted as a dot, the size of the dot represents the number of observations for that variant.

If multiple observations were made, the mean posterior odds and IQR are plotted. For the nonsense variants, variants that were predicted to produce nonsense mediated decay, are depicted using a triangle. Again, the size indicates the number of observations." data-icon-position data-hide-link-title="0">Figure 1 In this figure the posterior probability of an anterior phenotype is plotted against the location of the variant, stratified for the type of mutation that was observed. For better overview, only variants with a location effect were displayed.

The full figure, including all variant types, can be found in the online supplementary figure 1. Each mutation is depicted as a dot, the size of the dot represents the number of observations for that variant. If multiple observations were made, the mean posterior odds and IQR are plotted. For the nonsense variants, variants that were predicted to produce nonsense mediated decay, are depicted using a triangle.

Again, the size indicates the number of observations.Supplemental materialLatent class analysisTo cluster phenotypes and relate those to the genotypes of the patients, an explorative analysis was done using LCA in R (R V.3.6.1 for Mac. Polytomous variable LCA, poLCA V.1.4.1.). We used our LCA to detect the number of phenotypic subgroups in the dataset and subsequently predict a class membership for each case in the dataset based on the posterior probabilities.In order to make a reliable prediction, only phenotypes that were sufficiently reported and/or ruled out were feasible for LCA, limiting the analysis to preaxial polydactyly, postaxial polydactyly and syndactyly of the hands and feet. Only full cases were included.

To determine the optimal number of classes, we fitted a series of models ranging from a one-class to a six-class model. The optimal number of classes was based on the conditional Akaike information criterion (cAIC), the non adjusted and the sample-size adjusted Bayesian information criterion (BIC and aBIC) and the obtained entropy.25 The explorative LCA produces both posterior probabilities per case for both classes and predicted class membership. Using the predicted class membership, the phenotypic features per class were determined in a univariate analysis (χ2, SPSS V.25). Using the posterior probabilities on latent class (LC) membership, a scatter plot was created using the location of the variant on the x-axis and the probability of class membership on the y-axis for each of the types of variants (Tibco Spotfire V.7.14).

Using these scatter plots, variants that give similar phenotypes were clustered.Genotype/phenotype correlationBecause an LC has no clinical value, the correlation between genotypes and phenotypes was investigated using the predictor phenotypes and the clustered phenotypes. First, those phenotypes that contribute most to LC membership were identified. Second those phenotypes were directly related to the different types of variants (missense, nonsense, frameshift, splice site) and their clustered locations. Quantification of the relation was performed using a univariate analysis using a χ2 test.

Because of our selection criteria, meaning patients at least have two phenotypes, a multivariate using a logistic regression analysis was used to detect the most significant predictors in the overall phenotype (SPSS V.25). Finally, we explored the relation of the clustered genotypes to the presence of corpus callosum agenesis, a rare malformation in GLI3-mediated polydactyly syndromes which cannot be readily diagnosed without additional imaging.ResultsWe included 251 patients from the literature and 46 local patients,10–12 16 21 26–43 in total 297 patients from 155 different families with 127 different GLI3 variants, 32 of which were large deletions, CNVs or translocations. In six local cases, the exact variant could not be retrieved by status research.The distribution of the most frequently observed phenotypes and variants are presented in table 1. Other recurring phenotypes included developmental delay (n=22), broad nasal root (n=23), frontal bossing or prominent forehead (n=16) and craniosynostosis (n=13), camptodactyly (n=8) and a broad first interdigital webspace of the foot (n=6).View this table:Table 1 Baseline phenotypes and genotypes of selected populationThe LCA model was fitted using the six defined hand/foot phenotypes.

Model fit indices for the LCA are displayed in table 2. Based on the BIC, a two-class model has the best fit for our data. The four-class model does show a gain in entropy, however with a higher BIC and loss of df. Therefore, based on the majority of performance statistics and the interpretability of the model, a two-class model was chosen.

Table 3 displays the distribution of phenotypes and genotypes over the two classes.View this table:Table 2 Model fit indices for the one-class through six-class model evaluated in our LCAView this table:Table 3 Distribution of phenotypes and genotypes in the two latent classes (LC)Table 1 depicts the baseline phenotypes and genotypes in the obtained population. Note incomplete data especially in the cranium phenotypes. In total 259 valid genotypes were present. In total, 289 cases had complete data for all hand and foot phenotypes (preaxial polydactyly, postaxial polydactyly and syndactyly) and thus were available for LCA.

Combined, for phenotype/genotype correlation 258 cases were available with complete genotypes and complete hand and foot phenotypes.Table 2 depicts the model fit indices for all models that have been fitted to our data.Table 3 depicts the distribution of phenotypes and genotypes over the two assigned LCs. Hand and foot phenotypes were used as input for the LCA, thus are all complete cases. Malformation of the cranium and genotypes do have missing cases. Note that for the LCA, full case description was required, resulting in eight cases due to incomplete phenotypes.

Out of these eight, one also had a genotype that thus needed to be excluded. Missingness of genotypic data was higher in LC2, mostly due to CNVs (table 1).In 54/60 cases, a missense variant produced a posterior phenotype. Likewise, splice site variants show the same phenotype in 23/24 cases (table 3). For both frameshift and nonsense variants, this relation is not significant (52 anterior vs 54 posterior and 26 anterior vs 42 posterior, respectively).

Therefore, only for nonsense and frameshift variants the location of the variant was plotted against the probability for LC2 membership in figure 1. A full scatterplot of all variants is available in online supplementary figure 1.Figure 1 reveals a pattern for these nonsense and frameshift variants that reveals that variants at the C-terminal of the gene predict anterior phenotypes. When relating the domains of the GLI3 protein to the observed phenotype, we observe that the majority of patients with a nonsense or frameshift variant in the repressor domain, the zinc finger domain or the cleavage site had a high probability of an LC2/anterior phenotype. This group contains all variants that are either experimentally determined to be subject to NMD (triangle marker in figure 1) or predicted to be subject to NMD (diamond marker in figure 1).

Frameshift and nonsense variants in the activator domain result in high probability for an LC1/posterior phenotype. These variants will be further referred to as truncating variants in the activator domain.The univariate relation of the individual phenotypes to these two groups of variants are estimated and presented in table 4. In our multivariate analysis, postaxial polydactyly of the foot and hand are the strongest predictors (Beta. 2.548, p<0001 and Beta.

1.47, p=0.013, respectively) for patients to have a truncating variant in the activator domain. Moreover, the effect sizes of preaxial polydactyly of the hand and feet (Beta. ˆ’0.797, p=0123 and −1.772, p=0.001) reveals that especially postaxial polydactyly of the foot is the dominant predictor for the genetic substrate of the observed anomalies.View this table:Table 4 Univariate and multivariate analysis of the phenotype/genotype correlationTable 4 shows exploration of the individual phenotypes on the genotype, both univariate and multivariate. The multivariate analysis corrects for the presence of multiple phenotypes in the underlying population.Although the craniofacial anomalies could not be included in the LCA, the relation between the observed anomalies and the identified genetic substrates can be studied.

The prevalence of hypertelorism was equally distributed over the two groups of variants (47/135 vs 21/47 respectively, p<0.229). However for corpus callosum agenesis and macrocephaly, there was a higher prevalence in patients with a truncating variant in the activator domain (3/75 vs 11/41, p<0.001. OR. 8.8, p<0.001) and 42/123 vs 24/48, p<0.05).

Noteworthy is the fact that 11/14 cases with corpus callosum agenesis in the dataset had a truncating variant in the activator domain.DiscussionIn this report, we present new insights into the correlation between the phenotype and the genotype in patients with GLI3-mediated polydactyly syndromes. We illustrate that there are two LCs of patients, best predicted by postaxial polydactyly of the hand and foot for LC1, and the preaxial polydactyly of the hand and foot and syndactyly of the foot for LC2. Patients with postaxial phenotypes have a higher risk of having a truncating variant in the activator domain of the GLI3 gene which is also related to a higher risk of corpus callosum agenesis. These results suggest a functional difference between truncating variants on the N-terminal and the C-terminal side of the GLI3 cleavage site.Previous attempts of phenotype to genotype correlation have not yet provided the clinical confirmation of these assumed mechanisms in the pathophysiology of GLI3-mediated polydactyly syndromes.

Johnston et al have successfully determined the Pallister-Hall region in which truncating variants produce a Pallister-Hall phenotype rather than Greig syndrome.11 However, in their latest population study, subtypes of both syndromes were included to explain the full spectrum of observed malformations. In 2015, Demurger et al reported the higher incidence of corpus callosum agenesis in the Greig syndrome population with truncating mutations in the activator domain.12 Al-Qattan in his review summarises the concept of a spectrum of anomalies dependent on haplo-insufficiency (through different mechanisms) and repressor overexpression.13 However, he bases this theory mainly on reviewed experimental data. Our report is the first to provide an extensive clinical review of cases that substantiate the phenotypic difference between the two groups that could fit the suggested mechanisms. We agree with Al-Qattan et al that a variation of anomalies can be observed given any pathogenic variant in the GLI3 gene, but overall two dominant phenotypes are present.

A population with predominantly preaxial anomalies and one with postaxial anomalies. The presence of preaxial or postaxial polydactyly and syndactyly is not mutually exclusive for one of these two subclasses. Meaning that preaxial polydactyly can co-occur with postaxial polydactyly. However, truncating mutations in the activator domain produce a postaxial phenotype, as can be derived from the risk in table 4.

The higher risk of corpus callosum agenesis in this population shows that differentiating between a preaxial phenotype and a postaxial phenotype, instead of between the different GLI3-mediated polydactyly syndromes, might be more relevant regarding diagnostics for corpus callosum agenesis.We chose to use LCA as an exploratory tool only in our population for two reasons. First of all, LCA can be useful to identify subgroups, but there is no ‘true’ model or number of subgroups you can detect. The best fitting model can only be estimated based on the available measures and approximates the true subgroups that might be present. Second, LC membership assignment is a statistical procedure based on the posterior probability, with concordant errors of the estimation, rather than a clinical value that can be measured or evaluated.

Therefore, we decided to use our LCA only in an exploratory tool, and perform our statistics using the actual phenotypes that predict LC membership and the associated genotypes. Overall, this method worked well to differentiate the two subgroups present in our dataset. However, outliers were observed. A qualitative analysis of these outliers is available in the online supplementary data.The genetic substrate for the two phenotypic clusters can be discussed based on multiple experiments.

Overall, we hypothesise two genetic clusters. One that is due to haploinsufficiency and one that is due to abnormal truncation of the activator. The hypothesised cluster of variants that produce haploinsufficiency is mainly based on the experimental data that confirms NMD in two variants and the NMD prediction of other nonsense variants in Alamut. For the frameshift variants, it is also likely that the cleavage of the zinc finger domain results in functional haploinsufficiency either because of a lack of signalling domains or similarly due to NMD.

Missense variants could cause haploinsufficiency through the suggested mechanism by Krauss et al who have illustrated that missense variants in the MID1 domain hamper the functional interaction with the MID1-α4-PP2A complex, leading to a subcellular location of GLI3.24 The observed missense variants in our study exceed the region to which Krauss et al have limited the MID-1 interaction domain. An alternative theory is suggested by Zhou et al who have shown that missense variants in the MBD can cause deficiency in the signalling of GLI3A, functionally implicating a relative overexpression of GLI3R.22 However, GLI3R overexpression would likely produce a posterior phenotype, as determined by Hill et al in their fixed homo and hemizygous GLI3R models.15 Therefore, our hypothesis is that all included missense variants have a similar pathogenesis which is more likely in concordance with the mechanism introduced by Krauss et al. To our knowledge, no splice site variants have been functionally described in literature. However, it is noted that the 15 and last exon encompasses the entire activator domain, thus any splice site mutation is by definition located on the 5′ side of the activator.

Based on the phenotype, we would suggest that these variants fail to produce a functional protein. We hypothesise that the truncating variants of the activator domain lead to overexpression of GLI3R in SHH rich areas. In normal development, the presence of SHH prevents the processing of full length GLI34 into GLI3R, thus producing the full length activator. In patients with a truncating variant of the activator domain of GLI3, thus these variants likely have the largest effect in SHH rich areas, such as the ZPA located at the posterior side of the hand/footplate.

Moreover, the lack of posterior anomalies in the GLI3∆699/- mouse model (hemizygous fixed repressor model) compared with the GLI3∆699/∆699 mouse model (homozygous fixed repressor model), suggesting a dosage effect of GLI3R to be responsible for posterior hand anomalies.15 These findings are supported by Lewandowski et al, who show that the majority of the target genes in GLI signalling are regulated by GLI3R rather than GLI3A.44 Together, these findings suggest a role for the location and type of variant in GLI3-mediated syndromes.Interestingly, the difference between Pallister-Hall syndrome and GLI3-mediated polydactyly syndromes has also been attributed to the GLI3R overexpression. However, the difference in phenotype observed in the cases with a truncating variant in the activator domain and Pallister-Hall syndrome suggest different functional consequences. When studying figure 1, it is noted that the included truncating variants on the 3′ side of the cleavage site seldomly affect the CBP binding region, which could provide an explanation for the observed differences. This binding region is included in the Pallister-Hall region as defined by Johnston et al and is necessary for the downstream signalling with GLI1.10 11 23 45 Interestingly, recent reports show that pathogenic variants in GLI1 can produce phenotypes concordant with Ellis von Krefeld syndrome, which includes overlapping features with Pallister-Hall syndrome.46 The four truncating variants observed in this study that do affect the CBP but did not result in a Pallister-Hall phenotype are conflicting with this theory.

Krauss et al postulate an alternative hypothesis, they state that the MID1-α4-PP2A complex, which is essential for GLI3A signalling, could also be the reason for overlapping features of Opitz syndrome, caused by variants in MID1, and Pallister-Hall syndrome. Further analysis is required to fully appreciate the functional differences between truncating mutations that cause Pallister-Hall syndrome and those that result in GLI3-mediated polydactyly syndromes.For the clinical evaluation of patients with GLI3-mediated polydactyly syndromes, intracranial anomalies are likely the most important to predict based on the variant. Unfortunately, the presence of corpus callosum agenesis was not routinely investigated or reported thus this feature could not be used as an indicator phenotype for LC membership. Interestingly when using only hand and foot phenotypes, we did notice a higher prevalence of corpus callosum agenesis in patients with posterior phenotypes.

The suggested relation between truncating mutations in the activator domain causing these posterior phenotypes and corpus callosum agenesis was statistically confirmed (OR. 8.8, p<0.001). Functionally this relation could be caused by the GLI3-MED12 interaction at the MBD. Pathogenic DNA variants in MED12 can cause Opitz-Kaveggia syndrome, a syndrome in which presentation includes corpus callosum agenesis, broad halluces and thumbs.47In conclusion, there are two distinct phenotypes within the GLI3-mediated polydactyly population.

Patients with more posteriorly and more anteriorly oriented hand anomalies. Furthermore, this difference is related to the observed variant in GLI3. We hypothesise that variants that cause haploinsufficiency produce anterior anomalies of the hand, whereas variants with abnormal truncation of the activator domain have more posterior anomalies. Furthermore, patients that have a variant that produces abnormal truncation of the activator domain, have a greater risk for corpus callosum agenesis.

Thus, we advocate to differentiate preaxial or postaxial oriented GLI3 phenotypes to explain the pathophysiology as well as to get a risk assessment for corpus callosum agenesis.Data availability statementData are available upon reasonable request.Ethics statementsPatient consent for publicationNot required.Ethics approvalThe research protocol was approved by the local ethics board of the Erasmus MC University Medical Center (MEC 2015-679)..

AbstractIntroduction. We report a very rare case of familial breast cancer and diffuse gastric cancer, with germline pathogenic variants in both BRCA1 and CDH1 genes. To the best of our knowledge, this is the first report of such an association.Family description. The proband is a woman diagnosed with breast cancer at the age of 52 years. She requested genetic counselling in 2012, at the age of 91 years, because of a history of breast cancer in her daughter, her sister, her niece and her paternal grandmother and was therefore concerned about her relatives.

Her sister and maternal aunt also had gastric cancer. She was tested for several genes associated with hereditary breast cancer.Results. A large deletion of BRCA1 from exons 1 to 7 and two CDH1 pathogenic cis variants were identified.Conclusion. This complex situation is challenging for genetic counselling and management of at-risk individuals.cancer. Breastcancer.

Gastricclinical geneticsgenetic screening/counsellingmolecular geneticsIntroductionGLI-Kruppel family member 3 (GLI3) encodes for a zinc finger transcription factor which plays a key role in the sonic hedgehog (SHH) signalling pathway essential in both limb and craniofacial development.1 2 In hand development, SHH is expressed in the zone of polarising activity (ZPA) on the posterior side of the handplate. The ZPA expresses SHH, creating a gradient of SHH from the posterior to the anterior side of the handplate. In the presence of SHH, full length GLI3-protein is produced (GLI3A), whereas absence of SHH causes cleavage of GLI3 into its repressor form (GLI3R).3 4 Abnormal expression of this SHH/GLI3R gradient can cause both preaxial and postaxial polydactyly.2Concordantly, pathogenic DNA variants in the GLI3 gene are known to cause multiple syndromes with craniofacial and limb involvement, such as. Acrocallosal syndrome5 (OMIM. 200990), Greig cephalopolysyndactyly syndrome6 (OMIM.

175700) and Pallister-Hall syndrome7 (OMIM. 146510). Also, in non-syndromic polydactyly, such as preaxial polydactyly-type 4 (PPD4, OMIM. 174700),8 pathogenic variants in GLI3 have been described. Out of these diseases, Pallister-Hall syndrome is the most distinct entity, defined by the presence of central polydactyly and hypothalamic hamartoma.9 The other GLI3 syndromes are defined by the presence of preaxial and/or postaxial polydactyly of the hand and feet with or without syndactyly (Greig syndrome, PPD4).

Also, various mild craniofacial features such as hypertelorism and macrocephaly can occur. Pallister-Hall syndrome is caused by truncating variants in the middle third of the GLI3 gene.10–12 The truncation of GLI3 causes an overexpression of GLI3R, which is believed to be the key difference between Pallister-Hall and the GLI3-mediated polydactyly syndromes.9 11 Although multiple attempts have been made, the clinical and genetic distinction between the GLI3-mediated polydactyly syndromes is less evident. This has for example led to the introduction of subGreig and the formulation of an Oro-facial-digital overlap syndrome.10 Other authors, suggested that we should not regard these diseases as separate entities, but as a spectrum of GLI3-mediated polydactyly syndromes.13Although phenotype/genotype correlation of the different syndromes has been cumbersome, clinical and animal studies do provide evidence that distinct regions within the gene, could be related to the individual anomalies contributing to these syndromes. First, case studies show isolated preaxial polydactyly is caused by both truncating and non-truncating variants throughout the GLI3 gene, whereas in isolated postaxial polydactyly cases truncating variants at the C-terminal side of the gene are observed.12 14 These results suggest two different groups of variants for preaxial and postaxial polydactyly. Second, recent animal studies suggest that posterior malformations in GLI3-mediated polydactyly syndromes are likely related to a dosage effect of GLI3R rather than due to the influence of an altered GLI3A expression.15Past attempts for phenotype/genotype correlation in GLI3-mediated polydactyly syndromes have directly related the diagnosed syndrome to the observed genotype.10–12 16 Focusing on individual hand phenotypes, such as preaxial and postaxial polydactyly and syndactyly might be more reliable because it prevents misclassification due to inconsistent use of syndrome definition.

Subsequently, latent class analysis (LCA) provides the possibility to relate a group of observed variables to a set of latent, or unmeasured, parameters and thereby identifying different subgroups in the obtained dataset.17 As a result, LCA allows us to group different phenotypes within the GLI3-mediated polydactyly syndromes and relate the most important predictors of the grouped phenotypes to the observed GLI3 variants.The aim of our study was to further investigate the correlation of the individual phenotypes to the genotypes observed in GLI3-mediated polydactyly syndromes, using LCA. Cases were obtained by both literature review and the inclusion of local clinical cases. Subsequently, we identified two subclasses of limb anomalies that relate to the underlying GLI3 variant. We provide evidence for two different phenotypic and genotypic groups with predominantly preaxial and postaxial hand and feet anomalies, and we specify those cases with a higher risk for corpus callosum anomalies.MethodsLiterature reviewThe Human Gene Mutation Database (HGMD Professional 2019) was reviewed to identify known pathogenic variants in GLI3 and corresponding phenotypes.18 All references were obtained and cases were included when they were diagnosed with either Greig or subGreig syndrome or PPD4.10–12 Pallister-Hall syndrome and acrocallosal syndrome were excluded because both are regarded distinct syndromes and rather defined by the presence of the non-hand anomalies, than the presence of preaxial or postaxial polydactyly.13 19 Isolated preaxial or postaxial polydactyly were excluded for two reasons. The phenotype/genotype correlations are better understood and both anomalies can occur sporadically which could introduce falsely assumed pathogenic GLI3 variants in the analysis.

Additionally, cases were excluded when case-specific phenotypic or genotypic information was not reported or if these two could not be related to each other. Families with a combined phenotypic description, not reducible to individual family members, were included as one case in the analysis.Clinical casesThe Sophia Children’s Hospital Database was reviewed for cases with a GLI3 variant. Within this population, the same inclusion criteria for the phenotype were valid. Relatives of the index patients were also contacted for participation in this study, when they showed comparable hand, foot, or craniofacial malformations or when a GLI3 variant was identified. Phenotypes of the hand, foot and craniofacial anomalies of the patients treated in the Sophia Children's Hospital were collected using patient documentation.

Family members were identified and if possible, clinically verified. Alternatively, family members were contacted to verify their phenotypes. If no verification was possible, cases were excluded.PhenotypesThe phenotypes of both literature cases and local cases were extracted in a similar fashion. The most frequently reported limb and craniofacial phenotypes were dichotomised. The dichotomised hand and foot phenotypes were preaxial polydactyly, postaxial polydactyly and syndactyly.

Broad halluces or thumbs were commonly reported by authors and were dichotomised as a presentation of preaxial polydactyly. The extracted dichotomised craniofacial phenotypes were hypertelorism, macrocephaly and corpus callosum agenesis. All other phenotypes were registered, but not dichotomised.Pathogenic GLI3 variantsAll GLI3 variants were extracted and checked using Alamut Visual V.2.14. If indicated, variants were renamed according to standard Human Genome Variation Society nomenclature.20 Variants were grouped in either missense, frameshift, nonsense or splice site variants. In the group of frameshift variants, a subgroup with possible splice site effect were identified for subgroup analysis when indicated.

Similarly, nonsense variants prone for nonsense mediated decay (NMD) and nonsense variants with experimentally confirmed NMD were identified.21 Deletions of multiple exons, CNVs and translocations were excluded for analysis. A full list of included mutations is available in the online supplementary materials.Supplemental materialThe location of the variant was compared with five known structural domains of the GLI3 gene. (1) repressor domain, (2) zinc finger domain, (3) cleavage site, (4) activator domain, which we defined as a concatenation of the separately identified transactivation zones, the CBP binding domain and the mediator binding domain (MBD) and (5) the MID1 interaction region domain.1 6 22–24 The boundaries of each of the domains were based on available literature (figure 1, exact locations available in the online supplementary materials). The boundaries used by different authors did vary, therefore a consensus was made.In this figure the posterior probability of an anterior phenotype is plotted against the location of the variant, stratified for the type of mutation that was observed. For better overview, only variants with a location effect were displayed.

The full figure, including all variant types, can be found in the online supplementary figure 1. Each mutation is depicted as a dot, the size of the dot represents the number of observations for that variant. If multiple observations were made, the mean posterior odds and IQR are plotted. For the nonsense variants, variants that were predicted to produce nonsense mediated decay, are depicted using a triangle. Again, the size indicates the number of observations." data-icon-position data-hide-link-title="0">Figure 1 In this figure the posterior probability of an anterior phenotype is plotted against the location of the variant, stratified for the type of mutation that was observed.

For better overview, only variants with a location effect were displayed. The full figure, including all variant types, can be found in the online supplementary figure 1. Each mutation is depicted as a dot, the size of the dot represents the number of observations for that variant. If multiple observations were made, the mean posterior odds and IQR are plotted. For the nonsense variants, variants that were predicted to produce nonsense mediated decay, are depicted using a triangle.

Again, the size indicates the number of observations.Supplemental materialLatent class analysisTo cluster phenotypes and relate those to the genotypes of the patients, an explorative analysis was done using LCA in R (R V.3.6.1 for Mac. Polytomous variable LCA, poLCA V.1.4.1.). We used our LCA to detect the number of phenotypic subgroups in the dataset and subsequently predict a class membership for each case in the dataset based on the posterior probabilities.In order to make a reliable prediction, only phenotypes that were sufficiently reported and/or ruled out were feasible for LCA, limiting the analysis to preaxial polydactyly, postaxial polydactyly and syndactyly of the hands and feet. Only full cases were included. To determine the optimal number of classes, we fitted a series of models ranging from a one-class to a six-class model.

The optimal number of classes was based on the conditional Akaike information criterion (cAIC), the non adjusted and the sample-size adjusted Bayesian information criterion (BIC and aBIC) and the obtained entropy.25 The explorative LCA produces both posterior probabilities per case for both classes and predicted class membership. Using the predicted class membership, the phenotypic features per class were determined in a univariate analysis (χ2, SPSS V.25). Using the posterior probabilities on latent class (LC) membership, a scatter plot was created using the location of the variant on the x-axis and the probability of class membership on the y-axis for each of the types of variants (Tibco Spotfire V.7.14). Using these scatter plots, variants that give similar phenotypes were clustered.Genotype/phenotype correlationBecause an LC has no clinical value, the correlation between genotypes and phenotypes was investigated using the predictor phenotypes and the clustered phenotypes. First, those phenotypes that contribute most to LC membership were identified.

Second those phenotypes were directly related to the different types of variants (missense, nonsense, frameshift, splice site) and their clustered locations. Quantification of the relation was performed using a univariate analysis using a χ2 test. Because of our selection criteria, meaning patients at least have two phenotypes, a multivariate using a logistic regression analysis was used to detect the most significant predictors in the overall phenotype (SPSS V.25). Finally, we explored the relation of the clustered genotypes to the presence of corpus callosum agenesis, a rare malformation in GLI3-mediated polydactyly syndromes which cannot be readily diagnosed without additional imaging.ResultsWe included 251 patients from the literature and 46 local patients,10–12 16 21 26–43 in total 297 patients from 155 different families with 127 different GLI3 variants, 32 of which were large deletions, CNVs or translocations. In six local cases, the exact variant could not be retrieved by status research.The distribution of the most frequently observed phenotypes and variants are presented in table 1.

Other recurring phenotypes included developmental delay (n=22), broad nasal root (n=23), frontal bossing or prominent forehead (n=16) and craniosynostosis (n=13), camptodactyly (n=8) and a broad first interdigital webspace of the foot (n=6).View this table:Table 1 Baseline phenotypes and genotypes of selected populationThe LCA model was fitted using the six defined hand/foot phenotypes. Model fit indices for the LCA are displayed in table 2. Based on the BIC, a two-class model has the best fit for our data. The four-class model does show a gain in entropy, however with a higher BIC and loss of df. Therefore, based on the majority of performance statistics and the interpretability of the model, a two-class model was chosen.

Table 3 displays the distribution of phenotypes and genotypes over the two classes.View this table:Table 2 Model fit indices for the one-class through six-class model evaluated in our LCAView this table:Table 3 Distribution of phenotypes and genotypes in the two latent classes (LC)Table 1 depicts the baseline phenotypes and genotypes in the obtained population. Note incomplete data especially in the cranium phenotypes. In total 259 valid genotypes were present. In total, 289 cases had complete data for all hand and foot phenotypes (preaxial polydactyly, postaxial polydactyly and syndactyly) and thus were available for LCA. Combined, for phenotype/genotype correlation 258 cases were available with complete genotypes and complete hand and foot phenotypes.Table 2 depicts the model fit indices for all models that have been fitted to our data.Table 3 depicts the distribution of phenotypes and genotypes over the two assigned LCs.

Hand and foot phenotypes were used as input for the LCA, thus are all complete cases. Malformation of the cranium and genotypes do have missing cases. Note that for the LCA, full case description was required, resulting in eight cases due to incomplete phenotypes. Out of these eight, one also had a genotype that thus needed to be excluded. Missingness of genotypic data was higher in LC2, mostly due to CNVs (table 1).In 54/60 cases, a missense variant produced a posterior phenotype.

Likewise, splice site variants show the same phenotype in 23/24 cases (table 3). For both frameshift and nonsense variants, this relation is not significant (52 anterior vs 54 posterior and 26 anterior vs 42 posterior, respectively). Therefore, only for nonsense and frameshift variants the location of the variant was plotted against the probability for LC2 membership in figure 1. A full scatterplot of all variants is available in online supplementary figure 1.Figure 1 reveals a pattern for these nonsense and frameshift variants that reveals that variants at the C-terminal of the gene predict anterior phenotypes. When relating the domains of the GLI3 protein to the observed phenotype, we observe that the majority of patients with a nonsense or frameshift variant in the repressor domain, the zinc finger domain or the cleavage site had a high probability of an LC2/anterior phenotype.

This group contains all variants that are either experimentally determined to be subject to NMD (triangle marker in figure 1) or predicted to be subject to NMD (diamond marker in figure 1). Frameshift and nonsense variants in the activator domain result in high probability for an LC1/posterior phenotype. These variants will be further referred to as truncating variants in the activator domain.The univariate relation of the individual phenotypes to these two groups of variants are estimated and presented in table 4. In our multivariate analysis, postaxial polydactyly of the foot and hand are the strongest predictors (Beta. 2.548, p<0001 and Beta.

1.47, p=0.013, respectively) for patients to have a truncating variant in the activator domain. Moreover, the effect sizes of preaxial polydactyly of the hand and feet (Beta. ˆ’0.797, p=0123 and −1.772, p=0.001) reveals that especially postaxial polydactyly of the foot is the dominant predictor for the genetic substrate of the observed anomalies.View this table:Table 4 Univariate and multivariate analysis of the phenotype/genotype correlationTable 4 shows exploration of the individual phenotypes on the genotype, both univariate and multivariate. The multivariate analysis corrects for the presence of multiple phenotypes in the underlying population.Although the craniofacial anomalies could not be included in the LCA, the relation between the observed anomalies and the identified genetic substrates can be studied. The prevalence of hypertelorism was equally distributed over the two groups of variants (47/135 vs 21/47 respectively, p<0.229).

However for corpus callosum agenesis and macrocephaly, there was a higher prevalence in patients with a truncating variant in the activator domain (3/75 vs 11/41, p<0.001. OR. 8.8, p<0.001) and 42/123 vs 24/48, p<0.05). Noteworthy is the fact that 11/14 cases with corpus callosum agenesis in the dataset had a truncating variant in the activator domain.DiscussionIn this report, we present new insights into the correlation between the phenotype and the genotype in patients with GLI3-mediated polydactyly syndromes. We illustrate that there are two LCs of patients, best predicted by postaxial polydactyly of the hand and foot for LC1, and the preaxial polydactyly of the hand and foot and syndactyly of the foot for LC2.

Patients with postaxial phenotypes have a higher risk of having a truncating variant in the activator domain of the GLI3 gene which is also related to a higher risk of corpus callosum agenesis. These results suggest a functional difference between truncating variants on the N-terminal and the C-terminal side of the GLI3 cleavage site.Previous attempts of phenotype to genotype correlation have not yet provided the clinical confirmation of these assumed mechanisms in the pathophysiology of GLI3-mediated polydactyly syndromes. Johnston et al have successfully determined the Pallister-Hall region in which truncating variants produce a Pallister-Hall phenotype rather than Greig syndrome.11 However, in their latest population study, subtypes of both syndromes were included to explain the full spectrum of observed malformations. In 2015, Demurger et al reported the higher incidence of corpus callosum agenesis in the Greig syndrome population with truncating mutations in the activator domain.12 Al-Qattan in his review summarises the concept of a spectrum of anomalies dependent on haplo-insufficiency (through different mechanisms) and repressor overexpression.13 However, he bases this theory mainly on reviewed experimental data. Our report is the first to provide an extensive clinical review of cases that substantiate the phenotypic difference between the two groups that could fit the suggested mechanisms.

We agree with Al-Qattan et al that a variation of anomalies can be observed given any pathogenic variant in the GLI3 gene, but overall two dominant phenotypes are present. A population with predominantly preaxial anomalies and one with postaxial anomalies. The presence of preaxial or postaxial polydactyly and syndactyly is not mutually exclusive for one of these two subclasses. Meaning that preaxial polydactyly can co-occur with postaxial polydactyly. However, truncating mutations in the activator domain produce a postaxial phenotype, as can be derived from the risk in table 4.

The higher risk of corpus callosum agenesis in this population shows that differentiating between a preaxial phenotype and a postaxial phenotype, instead of between the different GLI3-mediated polydactyly syndromes, might be more relevant regarding diagnostics for corpus callosum agenesis.We chose to use LCA as an exploratory tool only in our population for two reasons. First of all, LCA can be useful to identify subgroups, but there is no ‘true’ model or number of subgroups you can detect. The best fitting model can only be estimated based on the available measures and approximates the true subgroups that might be present. Second, LC membership assignment is a statistical procedure based on the posterior probability, with concordant errors of the estimation, rather than a clinical value that can be measured or evaluated. Therefore, we decided to use our LCA only in an exploratory tool, and perform our statistics using the actual phenotypes that predict LC membership and the associated genotypes.

Overall, this method worked well to differentiate the two subgroups present in our dataset. However, outliers were observed. A qualitative analysis of these outliers is available in the online supplementary data.The genetic substrate for the two phenotypic clusters can be discussed based on multiple experiments. Overall, we hypothesise two genetic clusters. One that is due to haploinsufficiency and one that is due to abnormal truncation of the activator.

The hypothesised cluster of variants that produce haploinsufficiency is mainly based on the experimental data that confirms NMD in two variants and the NMD prediction of other nonsense variants in Alamut. For the frameshift variants, it is also likely that the cleavage of the zinc finger domain results in functional haploinsufficiency either because of a lack of signalling domains or similarly due to NMD. Missense variants could cause haploinsufficiency through the suggested mechanism by Krauss et al who have illustrated that missense variants in the MID1 domain hamper the functional interaction with the MID1-α4-PP2A complex, leading to a subcellular location of GLI3.24 The observed missense variants in our study exceed the region to which Krauss et al have limited the MID-1 interaction domain. An alternative theory is suggested by Zhou et al who have shown that missense variants in the MBD can cause deficiency in the signalling of GLI3A, functionally implicating a relative overexpression of GLI3R.22 However, GLI3R overexpression would likely produce a posterior phenotype, as determined by Hill et al in their fixed homo and hemizygous GLI3R models.15 Therefore, our hypothesis is that all included missense variants have a similar pathogenesis which is more likely in concordance with the mechanism introduced by Krauss et al. To our knowledge, no splice site variants have been functionally described in literature.

However, it is noted that the 15 and last exon encompasses the entire activator domain, thus any splice site mutation is by definition located on the 5′ side of the activator. Based on the phenotype, we would suggest that these variants fail to produce a functional protein. We hypothesise that the truncating variants of the activator domain lead to overexpression of GLI3R in SHH rich areas. In normal development, the presence of SHH prevents the processing of full length GLI34 into GLI3R, thus producing the full length activator. In patients with a truncating variant of the activator domain of GLI3, thus these variants likely have the largest effect in SHH rich areas, such as the ZPA located at the posterior side of the hand/footplate.

Moreover, the lack of posterior anomalies in the GLI3∆699/- mouse model (hemizygous fixed repressor model) compared with the GLI3∆699/∆699 mouse model (homozygous fixed repressor model), suggesting a dosage effect of GLI3R to be responsible for posterior hand anomalies.15 These findings are supported by Lewandowski et al, who show that the majority of the target genes in GLI signalling are regulated by GLI3R rather than GLI3A.44 Together, these findings suggest a role for the location and type of variant in GLI3-mediated syndromes.Interestingly, the difference between Pallister-Hall syndrome and GLI3-mediated polydactyly syndromes has also been attributed to the GLI3R overexpression. However, the difference in phenotype observed in the cases with a truncating variant in the activator domain and Pallister-Hall syndrome suggest different functional consequences. When studying figure 1, it is noted that the included truncating variants on the 3′ side of the cleavage site seldomly affect the CBP binding region, which could provide an explanation for the observed differences. This binding region is included in the Pallister-Hall region as defined by Johnston et al and is necessary for the downstream signalling with GLI1.10 11 23 45 Interestingly, recent reports show that pathogenic variants in GLI1 can produce phenotypes concordant with Ellis von Krefeld syndrome, which includes overlapping features with Pallister-Hall syndrome.46 The four truncating variants observed in this study that do affect the CBP but did not result in a Pallister-Hall phenotype are conflicting with this theory. Krauss et al postulate an alternative hypothesis, they state that the MID1-α4-PP2A complex, which is essential for GLI3A signalling, could also be the reason for overlapping features of Opitz syndrome, caused by variants in MID1, and Pallister-Hall syndrome.

Further analysis is required to fully appreciate the functional differences between truncating mutations that cause Pallister-Hall syndrome and those that result in GLI3-mediated polydactyly syndromes.For the clinical evaluation of patients with GLI3-mediated polydactyly syndromes, intracranial anomalies are likely the most important to predict based on the variant. Unfortunately, the presence of corpus callosum agenesis was not routinely investigated or reported thus this feature could not be used as an indicator phenotype for LC membership. Interestingly when using only hand and foot phenotypes, we did notice a higher prevalence of corpus callosum agenesis in patients with posterior phenotypes. The suggested relation between truncating mutations in the activator domain causing these posterior phenotypes and corpus callosum agenesis was statistically confirmed (OR. 8.8, p<0.001).

Functionally this relation could be caused by the GLI3-MED12 interaction at the MBD. Pathogenic DNA variants in MED12 can cause Opitz-Kaveggia syndrome, a syndrome in which presentation includes corpus callosum agenesis, broad halluces and thumbs.47In conclusion, there are two distinct phenotypes within the GLI3-mediated polydactyly population. Patients with more posteriorly and more anteriorly oriented hand anomalies. Furthermore, this difference is related to the observed variant in GLI3. We hypothesise that variants that cause haploinsufficiency produce anterior anomalies of the hand, whereas variants with abnormal truncation of the activator domain have more posterior anomalies.

Furthermore, patients that have a variant that produces abnormal truncation of the activator domain, have a greater risk for corpus callosum agenesis. Thus, we advocate to differentiate preaxial or postaxial oriented GLI3 phenotypes to explain the pathophysiology as well as to get a risk assessment for corpus callosum agenesis.Data availability statementData are available upon reasonable request.Ethics statementsPatient consent for publicationNot required.Ethics approvalThe research protocol was approved by the local ethics board of the Erasmus MC University Medical Center (MEC 2015-679)..

Ventolin and albuterol

65, Does http://60plusfoundation.org/2019/03/27/half-of-older-americans-have-nothing-in-retirement-savings/ not have Medicare)(OR has ventolin and albuterol Medicare and has dependent child <. 18 or <. 19 in school) 138% FPL*** Children <.

5 and pregnant women have HIGHER LIMITS than shown ESSENTIAL PLAN* For MAGI-eligible people over MAGI income limit up to 200% FPL No long term ventolin and albuterol care. See info here 1 2 1 2 3 1 2 Income $884 (up from $875 in 2020) $1300 (up from $1,284 in 2020) $1,482 $2,004 $2,526 $2,146 $2,903 Resources $15,900 (up from $15,750 in 2020) $23,400 (up from $23,100 in 2020) NO LIMIT** NO LIMIT 2020 levels are in GIS 19 MA/12 – 2020 Medicaid Levels and Other Updates and attachments here * MAGI and ESSENTIAL plan levels are based on Federal Poverty Levels, which are not released until later in 2021. 2020 levels are used until then.

NEED TO KNOW PAST MEDICAID INCOME ventolin and albuterol AND RESOURCE LEVELS?. WHAT IS THE HOUSEHOLD SIZE?. See rules here.

HOW TO READ THE HRA Medicaid Levels chart - Boxes 1 and 2 are NON-MAGI Income and Resource levels -- Age 65+, Blind or Disabled and other adults who need ventolin and albuterol to use "spend-down" because they are over the MAGI income levels. Box 10 on page 3 are the MAGI income levels -- The Affordable Care Act changed the rules for Medicaid income eligibility for many BUT NOT ALL New Yorkers. People in the "MAGI" category - those NOT on Medicare -- have expanded eligibility up to 138% of the Federal Poverty Line, so may now qualify for Medicaid even if they were not eligible before, or may now be eligible for Medicaid without a "spend-down." They have NO resource limit.

Box 3 on ventolin and albuterol page 1 is Spousal Impoverishment levels for Managed Long Term Care &. Nursing Homes and Box 8 has the Transfer Penalty rates for nursing home eligibility Box 4 has Medicaid Buy-In for Working People with Disabilities Under Age 65 (still 2017 levels til April 2018) Box 6 are Medicare Savings Program levels (will be updated in April 2018) MAGI INCOME LEVEL of 138% FPL applies to most adults who are not disabled and who do not have Medicare, AND can also apply to adults with Medicare if they have a dependent child/relative under age 18 or under 19 if in school. 42 C.F.R.

§ 435.4 ventolin and albuterol. Certain populations have an even higher income limit - 224% FPL for pregnant women and babies <. Age 1, 154% FPL for children age 1 - 19.

CAUTION ventolin and albuterol. What is counted as income may not be what you think. For the NON-MAGI Disabled/Aged 65+/Blind, income will still be determined by the same rules as before, explained in this outline and these charts on income disregards.

However, for the MAGI population - which is virtually everyone under age 65 who is not on Medicare - their income will now be determined under new rules, based on federal ventolin and albuterol income tax concepts - called "Modifed Adjusted Gross Income" (MAGI). There are good changes and bad changes. GOOD.

Veteran's ventolin and albuterol benefits, Workers compensation, and gifts from family or others no longer count as income. BAD. There is no more "spousal" or parental refusal for this population (but there still is for the Disabled/Aged/Blind.) and some other rules.

For all of the rules ventolin and albuterol see. ALSO SEE 2018 Manual on Lump Sums and Impact on Public Benefits - with resource rules HOW TO DETERMINE SIZE OF HOUSEHOLD TO IDENTIFY WHICH INCOME LIMIT APPLIES The income limits increase with the "household size." In other words, the income limit for a family of 5 may be higher than the income limit for a single person. HOWEVER, Medicaid rules about how to calculate the household size are not intuitive or even logical.

There are different ventolin and albuterol rules depending on the "category" of the person seeking Medicaid. Here are the 2 basic categories and the rules for calculating their household size. People who are Disabled, Aged 65+ or Blind - "DAB" or "SSI-Related" Category -- NON-MAGI - See this chart for their household size.

These same rules apply to the Medicare Savings Program, with some exceptions ventolin and albuterol explained in this article. Everyone else -- MAGI - All children and adults under age 65, including people with disabilities who are not yet on Medicare -- this is the new "MAGI" population. Their household size will be determined using federal income tax rules, which are very complicated.

New rule is explained ventolin and albuterol in State's directive 13 ADM-03 - Medicaid Eligibility Changes under the Affordable Care Act (ACA) of 2010 (PDF) pp. 8-10 of the PDF, This PowerPoint by NYLAG on MAGI Budgeting attempts to explain the new MAGI budgeting, including how to determine the Household Size. See slides 28-49.

Also seeLegal Aid Society and Empire Justice Center materials OLD RULE used until end of 2013 -- Count the person(s) applying for Medicaid ventolin and albuterol who live together, plus any of their legally responsible relatives who do not receive SNA, ADC, or SSI and reside with an applicant/recipient. Spouses or legally responsible for one another, and parents are legally responsible for their children under age 21 (though if the child is disabled, use the rule in the 1st "DAB" category. Under this rule, a child may be excluded from the household if that child's income causes other family members to lose Medicaid eligibility.

See 18 NYCRR ventolin and albuterol 360-4.2, MRG p. 573, NYS GIS 2000 MA-007 CAUTION. Different people in the same household may be in different "categories" and hence have different household sizes AND Medicaid income and resource limits.

If a man is age 67 and has Medicare and his wife is age 62 and not disabled or blind, the husband's ventolin and albuterol household size for Medicaid is determined under Category 1/ Non-MAGI above and his wife's is under Category 2/MAGI. The following programs were available prior to 2014, but are now discontinued because they are folded into MAGI Medicaid. Prenatal Care Assistance Program (PCAP) was Medicaid for pregnant women and children under age 19, with higher income limits for pregnant woman and infants under one year (200% FPL for pregnant women receiving perinatal coverage only not full Medicaid) than for children ages 1-18 (133% FPL).

Medicaid for adults between ages 21-65 who are not disabled and without children under http://yohoho.co.uk/hudson-hawk-phil-stokes-yorkshire-tv-interview/ 21 in the ventolin and albuterol household. It was sometimes known as "S/CC" category for Singles and Childless Couples. This category had lower income limits than DAB/ADC-related, but had no asset limits.

It did not allow "spend ventolin and albuterol down" of excess income. This category has now been subsumed under the new MAGI adult group whose limit is now raised to 138% FPL. Family Health Plus - this was an expansion of Medicaid to families with income up to 150% FPL and for childless adults up to 100% FPL.

This has now been folded into the new MAGI adult group whose limit is 138% ventolin and albuterol FPL. For applicants between 138%-150% FPL, they will be eligible for a new program where Medicaid will subsidize their purchase of Qualified Health Plans on the Exchange. PAST INCOME &.

RESOURCE LEVELS -- Past Medicaid income and resource levels in NYS are shown on these oldNYC ventolin and albuterol HRA charts for 2001 through 2019, in chronological order. These include Medicaid levels for MAGI and non-MAGI populations, Child Health Plus, MBI-WPD, Medicare Savings Programs and other public health programs in NYS. This article was authored by the Evelyn Frank Legal Resources Program of New York Legal Assistance Group.A huge barrier to people returning to the community from nursing homes is the high cost of housing.

One way New York State is trying to address that barrier is with the Special Housing Disregard ventolin and albuterol that allows certain members of Managed Long Term Care or FIDA plans to keep more of their income to pay for rent or other shelter costs, rather than having to "spend down" their "excess income" or spend-down on the cost of Medicaid home care. The special income standard for housing expenses helps pay for housing expenses to help certain nursing home or adult home residents to safely transition back to the community with MLTC. Originally it was just for former nursing home residents but in 2014 it was expanded to include people who lived in adult homes.

GIS 14/MA-017 Since you are allowed to ventolin and albuterol keep more of your income, you may no longer need to use a pooled trust. KNOW YOUR RIGHTS - FACT SHEET on THREE ways to Reduce Spend-down, including this Special Income Standard. September 2018 NEWS -- Those already enrolled in MLTC plans before they are admitted to a nursing home or adult home may obtain this budgeting upon discharge, if they meet the other criteria below.

"How nursing home administrators, adult home operators and MLTC plans should identify individuals who ventolin and albuterol are eligible for the special income standard" and explains their duties to identify eligible individuals, and the MLTC plan must notify the local DSS that the individual may qualify. "Nursing home administrators, nursing home discharge planning staff, adult home operators and MLTC health plans are encouraged to identify individuals who may qualify for the special income standard, if they can be safely discharged back to the community from a nursing home and enroll in, or remain enrolled in, an MLTC plan. Once an individual has been accepted into an MLTC plan, the MLTC plan must notify the individual's local district of social services that the transition has occurred and that the individual may qualify for the special income standard.

The special income standard will be effective upon enrollment into the MLTC plan, or, for ventolin and albuterol nursing home residents already enrolled in an MLTC plan, the month of discharge to the community. Questions regarding the special income standard may be directed to DOH at 518-474-8887. Who is eligible for this special income standard?.

must be age 18+, must have been in a nursing home or an adult home for 30 days or more, must have had Medicaid pay toward the nursing home care, and must enroll in or REMAIN ENROLLED IN a Managed Long Term Care (MLTC) plan or FIDA plan upon leaving the nursing home or adult home must have a housing expense if married, ventolin and albuterol spouse may not receive a "spousal impoverishment" allowance once the individual is enrolled in MLTC. How much is the allowance?. The rates vary by region and change yearly.

Region ventolin and albuterol Counties Deduction (2021) Central Broome, Cayuga, Chenango, Cortland, Herkimer, Jefferson, Lewis, Madison, Oneida, Onondaga, Oswego, St. Lawrence, Tioga, Tompkins $450 Long Island Nassau, Suffolk $1,393 NYC Bronx, Kings, Manhattan, Queens, Richmond $1,535 (up from 1,451 in 2020) Northeastern Albany, Clinton, Columbia, Delaware, Essex, Franklin, Fulton, Greene, Hamilton, Montgomery, Otsego, Rensselaer, Saratoga, Schenectady, Schoharie, Warren, Washington $524 North Metropolitan Dutchess, Orange, Putnam, Rockland, Sullivan, Ulster, Westchester $1,075 Rochester Chemung, Livingston, Monroe, Ontario, Schuyler, Seneca, Steuben, Wayne, Yates $469 Western Allegany, Cattaraugus, Chautauqua, Erie, Genesee, Niagara, Orleans, Wyoming $413 Past rates published as follows, available on DOH website 2021 rates published in Attachment I to GIS 20 MA/13 -- 2021 Medicaid Levels and Other Updates 2020 rates published in Attachment I to GIS 19 MA/12 – 2020 Medicaid Levels and Other Updates 2019 rates published in Attachment 1 to GIS 18/MA015 - 2019 Medicaid Levels and Other Updates 2018 rates published in GIS 17 MA/020 - 2018 Medicaid Levels and Other Updates. The guidance on how the standardized amount of the disregard is calculated is found in NYS DOH 12- ADM-05.

2017 rate -- GIS 16 MA/018 - 2016 Medicaid Only Income and Resource Levels and Spousal Impoverishment Standards Attachment 12016 rate -- GIS 15-MA/0212015 rate -- Were not posted by DOH but were updated in WMS. 2015 Central $382 Long Island $1,147 NYC $1,001 Northeastern $440 N. Metropolitan $791 Rochester $388 Western $336 2014 rate -- GIS-14-MA/017 HOW DOES IT WORK?.

Here is a sample budget for a single person in NYC with Social Security income of $2,386/month paying a Medigap premium of $261/mo. Gross monthly income $2,575.50 DEDUCT Health insurance premiums (Medicare Part B) - 135.50 (Medigap) - 261.00 DEDUCT Unearned income disregard - 20 DEDUCT Shelter deduction (NYC—2019) - 1,300 DEDUCT Income limit for single (2019) - 859 Excess income or Spend-down $0 WITH NO SPEND-DOWN, May NOT NEED POOLED TRUST!. HOW TO OBTAIN THE HOUSING DISREGARD.

When you are ready to leave the nursing home or adult home, or soon after you leave, you or your MLTC plan must request that your local Medicaid program change your Medicaid budget to give you the Housing Disregard. See September 2018 NYS DOH Medicaid Update that requires MLTC plan to help you ask for it. The procedures in NYC are explained in this Troubleshooting guide.

In NYC, submit the application with the MAP-751W (check off "Budgeting Changes" and "Special Housing Standard"). (The MAP-751W is also posted in languages other than English in this link. (Updated 3-15-2021.)) NYC Medicaid program prefers that your MLTC plan file the request, using Form MAP-3057E - Special income housing Expenses NH-MLTC.pdf and Form MAP-3047B - MLTC/NHED Cover Sheet Form MAP-259f (revised 7-31-18)(page 7 of PDF)(DIscharge Notice) - NH must file with HRA upon discharge, certifying resident was informed of availability of this disregard.

GOVERNMENT DIRECTIVES (beginning with oldest). NYS DOH 12- ADM-05 - Special Income Standard for Housing Expenses for Individuals Discharged from a Nursing Facility who Enroll into the Managed Long Term Care (MLTC) Program Attachment II - OHIP-0057 - Notice of Intent to Change Medicaid Coverage, (Recipient Discharged from a Skilled Nursing Facility and Enrolled in a Managed Long Term Care Plan) Attachment III - Attachment III – OHIP-0058 - Notice of Intent to Change Medicaid Coverage, (Recipient Disenrolled from a Managed Long Term Care Plan, No Special Income Standard) MLTC Policy 13.02. MLTC Housing Disregard NYC HRA Medicaid Alert Special Income Standard for housing expenses NH-MLTC 2-9-2013.pdf 2018-07-28 HRA MICSA ALERT Special Income Standard for Housing Expenses for Individuals Discharged from a Nursing Facility and who Enroll into the MLTC Program - update on previous policy.

References Form MAP-259f (revised 7-31-18)(page 7 of PDF)(Discharge Notice) - NH must file with HRA upon discharge, certifying resident was informed of availability of this disregard. GIS 18 MA/012 - Special Income Standard for Housing Expenses for Certain Managed Long-Term Care Enrollees Who are Discharged from a Nursing Home issued Sept. 28, 2018 - this finally implements the most recent Special Terms &.

18 or buy ventolin online canada check over here <. 19 in school) 138% FPL*** Children <. 5 and pregnant women have HIGHER LIMITS than shown ESSENTIAL PLAN* For MAGI-eligible people over MAGI income limit up to 200% FPL No long term care.

See info here 1 2 1 2 3 1 2 Income $884 (up from $875 in 2020) $1300 (up from $1,284 in 2020) $1,482 $2,004 $2,526 $2,146 $2,903 Resources $15,900 (up from $15,750 in 2020) $23,400 (up from $23,100 in 2020) NO LIMIT** NO LIMIT 2020 levels are in GIS 19 buy ventolin online canada MA/12 – 2020 Medicaid Levels and Other Updates and attachments here * MAGI and ESSENTIAL plan levels are based on Federal Poverty Levels, which are not released until later in 2021. 2020 levels are used until then. NEED TO KNOW PAST MEDICAID INCOME AND RESOURCE LEVELS?.

WHAT IS buy ventolin online canada THE HOUSEHOLD SIZE?. See rules here. HOW TO READ THE HRA Medicaid Levels chart - Boxes 1 and 2 are NON-MAGI Income and Resource levels -- Age 65+, Blind or Disabled and other adults who need to use "spend-down" because they are over the MAGI income levels.

Box 10 on page 3 are the MAGI income levels -- The Affordable Care Act changed the rules for Medicaid income eligibility for many BUT NOT ALL New buy ventolin online canada Yorkers. People in the "MAGI" category - those NOT on Medicare -- have expanded eligibility up to 138% of the Federal Poverty Line, so may now qualify for Medicaid even if they were not eligible before, or may now be eligible for Medicaid without a "spend-down." They have NO resource limit. Box 3 on page 1 is Spousal Impoverishment levels for Managed Long Term Care &.

Nursing Homes and Box 8 has the Transfer Penalty rates for nursing home eligibility Box 4 has Medicaid Buy-In for Working People with Disabilities Under buy ventolin online canada Age 65 (still 2017 levels til April 2018) Box 6 are Medicare Savings Program levels (will be updated in April 2018) MAGI INCOME LEVEL of 138% FPL applies to most adults who are not disabled and who do not have Medicare, AND can also apply to adults with Medicare if they have a dependent child/relative under age 18 or under 19 if in school. 42 C.F.R. § 435.4.

Certain populations have an even higher income limit - 224% FPL for pregnant women and buy ventolin online canada babies <. Age 1, 154% FPL for children age 1 - 19. CAUTION.

What is counted as income may not be what you think buy ventolin online canada. For the NON-MAGI Disabled/Aged 65+/Blind, income will still be determined by the same rules as before, explained in this outline and these charts on income disregards. However, for the MAGI population - which is virtually everyone under age 65 who is not on Medicare - their income will now be determined under new rules, based on federal income tax concepts - called "Modifed Adjusted Gross Income" (MAGI).

There are buy ventolin online canada good changes and bad changes. GOOD. Veteran's benefits, Workers compensation, and gifts from family or others no longer count as income.

BAD buy ventolin online canada. There is no more "spousal" or parental refusal for this population (but there still is for the Disabled/Aged/Blind.) and some other rules. For all of the rules see.

ALSO SEE buy ventolin online canada 2018 Manual on Lump Sums and Impact on Public Benefits - with resource rules HOW TO DETERMINE SIZE OF HOUSEHOLD TO IDENTIFY WHICH INCOME LIMIT APPLIES The income limits increase with the "household size." In other words, the income limit for a family of 5 may be higher than the income limit for a single person. HOWEVER, Medicaid rules about how to calculate the household size are not intuitive or even logical. There are different rules depending on the "category" of the person seeking Medicaid.

Here are the 2 basic categories and the rules for calculating their household buy ventolin online canada size. People who are Disabled, Aged 65+ or Blind - "DAB" or "SSI-Related" Category -- NON-MAGI - See this chart for their household size. These same rules apply to the Medicare Savings Program, with some exceptions explained in this article.

Everyone else -- MAGI - All children and adults under age 65, including people with buy ventolin online canada disabilities who are not yet on Medicare -- this is the new "MAGI" population. Their household size will be determined using federal income tax rules, which are very complicated. New rule is explained in State's directive 13 ADM-03 - Medicaid Eligibility Changes under the Affordable Care Act (ACA) of 2010 (PDF) pp.

8-10 of the PDF, This PowerPoint by NYLAG on MAGI Budgeting attempts to explain the new MAGI budgeting, including how to determine buy ventolin online canada the Household Size. See slides 28-49. Also seeLegal Aid Society and Empire Justice Center materials OLD RULE used until end of 2013 -- Count the person(s) applying for Medicaid who live together, plus any of their legally responsible relatives who do not receive SNA, ADC, or SSI and reside with an applicant/recipient.

Spouses or legally responsible for one another, and parents are legally responsible for their buy ventolin online canada children under age 21 (though if the child is disabled, use the rule in the 1st "DAB" category. Under this rule, a child may be excluded from the household if that child's income causes other family members to lose Medicaid eligibility. See 18 NYCRR 360-4.2, MRG p.

573, NYS GIS 2000 buy ventolin online canada MA-007 CAUTION. Different people in the same household may be in different "categories" and hence have different household sizes AND Medicaid income and resource limits. If a man is age 67 and has Medicare and his wife is age 62 and not disabled or blind, the husband's household size for Medicaid is determined under Category 1/ Non-MAGI above and his wife's is under Category 2/MAGI.

The following programs were available prior to 2014, but are now discontinued because they are folded into MAGI buy ventolin online canada Medicaid. Prenatal Care Assistance Program (PCAP) was Medicaid for pregnant women and children under age 19, with higher income limits for pregnant woman and infants under one year (200% FPL for pregnant women receiving perinatal coverage only not full Medicaid) than for children ages 1-18 (133% FPL). Medicaid for adults between ages 21-65 who are not disabled and without children under 21 in the household.

It was sometimes known as "S/CC" category for buy ventolin online canada Singles and Childless Couples. This category had lower income limits than DAB/ADC-related, but had no asset limits. It did not allow "spend down" of excess income.

This category has now been buy ventolin online canada subsumed under the new MAGI adult group whose limit is now raised to 138% FPL. Family Health Plus - this was an expansion of Medicaid to families with income up to 150% FPL and for childless adults up to 100% FPL. This has now been folded into the new MAGI adult group whose limit is 138% FPL.

For applicants between 138%-150% FPL, they will be eligible for a new program where buy ventolin online canada Medicaid will subsidize their purchase of Qualified Health Plans on the Exchange. PAST INCOME &. RESOURCE LEVELS -- Past Medicaid income and resource levels in NYS are shown on these oldNYC HRA charts for 2001 through 2019, in chronological order.

These include Medicaid levels for MAGI and buy ventolin online canada non-MAGI populations, Child Health Plus, MBI-WPD, Medicare Savings Programs and other public health programs in NYS. This article was authored by the Evelyn Frank Legal Resources Program of New York Legal Assistance Group.A huge barrier to people returning to the community from nursing homes is the high cost of housing. One way New York State is trying to address that barrier is with the Special Housing Disregard that allows certain members of Managed Long Term Care or FIDA plans to keep more of their income to pay for rent or other shelter costs, rather than having to "spend down" their "excess income" or spend-down on the cost of Medicaid home care.

The special income standard for housing expenses helps pay for housing expenses to help buy ventolin online canada certain nursing home or adult home residents to safely transition back to the community with MLTC. Originally it was just for former nursing home residents but in 2014 it was expanded to include people who lived in adult homes. GIS 14/MA-017 Since you are allowed to keep more of your income, you may no longer need to use a pooled trust.

KNOW YOUR RIGHTS - buy ventolin online canada FACT SHEET on THREE ways to Reduce Spend-down, including this Special Income Standard. September 2018 NEWS -- Those already enrolled in MLTC plans before they are admitted to a nursing home or adult home may obtain this budgeting upon discharge, if they meet the other criteria below. "How nursing home administrators, adult home operators and MLTC plans should identify individuals who are eligible for the special income standard" and explains their duties to identify eligible individuals, and the MLTC plan must notify the local DSS that the individual may qualify.

"Nursing home administrators, nursing home discharge planning staff, adult home operators and MLTC health plans are encouraged to identify individuals who may qualify for the special income standard, if they can be safely discharged back to the community from a buy ventolin online canada nursing home and enroll in, or remain enrolled in, an MLTC plan. Once an individual has been accepted into an MLTC plan, the MLTC plan must notify the individual's local district of social services that the transition has occurred and that the individual may qualify for the special income standard. The special income standard will be effective upon enrollment into the MLTC plan, or, for nursing home residents already enrolled in an MLTC plan, the month of discharge to the community.

Questions regarding the special income buy ventolin online canada standard may be directed to DOH at 518-474-8887. Who is eligible for this special income standard?. must be age 18+, must have been in a nursing home or an adult home for 30 days or more, must have had Medicaid pay toward the nursing home care, and must enroll in or REMAIN ENROLLED IN a Managed Long Term Care (MLTC) plan or FIDA plan upon leaving the nursing home or adult home must have a housing expense if married, spouse may not receive a "spousal impoverishment" allowance once the individual is enrolled in MLTC.

How much is buy ventolin online canada the allowance?. The rates vary by region and change yearly. Region Counties Deduction (2021) Central Broome, Cayuga, Chenango, Cortland, Herkimer, Jefferson, Lewis, Madison, Oneida, Onondaga, Oswego, St.

Lawrence, Tioga, Tompkins $450 Long Island Nassau, Suffolk $1,393 NYC Bronx, Kings, Manhattan, Queens, Richmond $1,535 (up from 1,451 in 2020) Northeastern Albany, Clinton, Columbia, Delaware, Essex, Franklin, Fulton, Greene, Hamilton, Montgomery, Otsego, Rensselaer, Saratoga, Schenectady, Schoharie, Warren, Washington $524 North Metropolitan Dutchess, Orange, Putnam, Rockland, Sullivan, Ulster, Westchester $1,075 Rochester Chemung, Livingston, Monroe, Ontario, Schuyler, Seneca, Steuben, Wayne, Yates $469 Western Allegany, Cattaraugus, Chautauqua, Erie, Genesee, Niagara, Orleans, Wyoming $413 Past rates published as follows, available on DOH website 2021 rates published in Attachment I to GIS 20 MA/13 -- 2021 Medicaid Levels and Other Updates 2020 rates published in Attachment I to GIS 19 MA/12 – 2020 Medicaid Levels and Other Updates 2019 rates published in Attachment 1 to GIS 18/MA015 - 2019 Medicaid Levels and Other Updates 2018 rates published in GIS 17 MA/020 - 2018 Medicaid Levels and Other Updates. The guidance on how the standardized amount of the disregard is calculated is found in NYS DOH 12- ADM-05. 2017 rate -- GIS 16 MA/018 - 2016 Medicaid Only Income and Resource Levels and Spousal Impoverishment Standards Attachment 12016 rate -- GIS 15-MA/0212015 rate -- Were not posted by DOH but were updated in WMS.

2015 Central $382 Long Island $1,147 NYC $1,001 Northeastern $440 N. Metropolitan $791 Rochester $388 Western $336 2014 rate -- GIS-14-MA/017 HOW DOES IT WORK?. Here is a sample budget for a single person in NYC with Social Security income of $2,386/month paying a Medigap premium of $261/mo.

Gross monthly income $2,575.50 DEDUCT Health insurance premiums (Medicare Part B) - 135.50 (Medigap) - 261.00 DEDUCT Unearned income disregard - 20 DEDUCT Shelter deduction (NYC—2019) - 1,300 DEDUCT Income limit for single (2019) - 859 Excess income or Spend-down $0 WITH NO SPEND-DOWN, May NOT NEED POOLED TRUST!. HOW TO OBTAIN THE HOUSING DISREGARD. When you are ready to leave the nursing home or adult home, or soon after you leave, you or your MLTC plan must request that your local Medicaid program change your Medicaid budget to give you the Housing Disregard.

See September 2018 NYS DOH Medicaid Update that requires MLTC plan to help you ask for it. The procedures in NYC are explained in this Troubleshooting guide. In NYC, submit the application with the MAP-751W (check off "Budgeting Changes" and "Special Housing Standard").

(The MAP-751W is also posted in languages other than English in this link. (Updated 3-15-2021.)) NYC Medicaid program prefers that your MLTC plan file the request, using Form MAP-3057E - Special income housing Expenses NH-MLTC.pdf and Form MAP-3047B - MLTC/NHED Cover Sheet Form MAP-259f (revised 7-31-18)(page 7 of PDF)(DIscharge Notice) - NH must file with HRA upon discharge, certifying resident was informed of availability of this disregard. GOVERNMENT DIRECTIVES (beginning with oldest).

NYS DOH 12- ADM-05 - Special Income Standard for Housing Expenses for Individuals Discharged from a Nursing Facility who Enroll into the Managed Long Term Care (MLTC) Program Attachment II - OHIP-0057 - Notice of Intent to Change Medicaid Coverage, (Recipient Discharged from a Skilled Nursing Facility and Enrolled in a Managed Long Term Care Plan) Attachment III - Attachment III – OHIP-0058 - Notice of Intent to Change Medicaid Coverage, (Recipient Disenrolled from a Managed Long Term Care Plan, No Special Income Standard) MLTC Policy 13.02. MLTC Housing Disregard NYC HRA Medicaid Alert Special Income Standard for housing expenses NH-MLTC 2-9-2013.pdf 2018-07-28 HRA MICSA ALERT Special Income Standard for Housing Expenses for Individuals Discharged from a Nursing Facility and who Enroll into the MLTC Program - update on previous policy. References Form MAP-259f (revised 7-31-18)(page 7 of PDF)(Discharge Notice) - NH must file with HRA upon discharge, certifying resident was informed of availability of this disregard.

GIS 18 MA/012 - Special Income Standard for Housing Expenses for Certain Managed Long-Term Care Enrollees Who are Discharged from a Nursing Home issued Sept. 28, 2018 - this finally implements the most recent Special Terms &. Conditions of the CMS 1115 Waiver that governs the MLTC program, dated Jan.

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4.6

33x23

3.9

36x0

9.1

9.1

EXT 7,7

36x14

7.9

36x19

6.8

6.8

6.8

36x24

5.4

38x0

10.6

*10,6

EXT 9,1

39x26

5.9

39x28

5.2

41x0

11.8

11.8

11.8

EXT 10,0

41x13

10.6

10.6

41x18

9.5

9.5

9.5

41x23

8.1

41x28

6.3

42x28

5.9

43x0

12.9

12.9

43x26

*8.2

8.2

8.2

43x33

5.3

46x0

14.8

14.8

EXT 12,6

46x13

13.6

13.6

46x18

12.5

46x23

11.1

11.1

11.1

46x28

9.3

46x33

7.2

7.2

7.2

47x23

10.0

47x28

8.5

51x0

18.2

18.2

18.2

15.5

51x18

15.9

15.9

15.9

51x23

14.5

51x28

12.7

12.7

12.7

51x33

10.6

51x38

8.1

8.1

52x18

14.2

52x23

13.0

52x28

11.5

52x38

7.5

56x0

21.9

21.9

18.7

56x18

*19.6

56x23

18.2

56x28

16.4

56x33

14.3

14.3

56x38

11.8

56x43

9,0

57x43

8.4

61x0

26.0

26.0

26.0

22.2

61x18

23.7

23.7

61x23

22.3

61x28

20.5

20.5

61x33

18.4

61x38

15.9

15.9

61x43

13.1

61x48

9.9

9.9

9.9

62x18

21.0

62x28

18.3

62x38

14.3

62x48

9.2

67x0

31.0

31.0

26.8

67x18

29.1

67x23

*27,7

67x28

25.9

67x33

*23,8

67x38

21.3

67x43

18.5

18.5

15.8

67x48

15.3

67x53

11.7

72x0

35.8

35.8

35.8

30.9

72x18

34.0

34.0

72x23

*32,5

27.8

72x28

30.8

30.8

72x33

28.6

72x38

26.1

26.1

22.3

72x43

23.3

72x48

20.1

20.1

17.2

72x53

16.6

16.6

72x58

12.7

10.9

77x0

41.0

41.0

35.4

77x23

37.7

77x28

*35,9

77x33

33.8

77x38

31.4

31.4

77x43

28.5

77x48

25.3

77x53

21.8

21.8

77x58

17.9

15.3

77x63

*13.7

82x0

46.4

46.4

46.4

40.1

82x28

41.5

41.5

41.5

82x33

*39,4

82x38

36.9

31.5

82x43

34.1

34.1

82x48

30.9

26.4

82x53

27.4

82x58

23.5

23.5

20.1

82x63

19.3

82x68

14.7

12.5

87x0

52.3

52.3

45.2

87x28

47.4

*47,4

87x33

*45,3

87x38

*42,8

36.6

87x43

*40,0

87x48

36.8

87x53

33.3

87x58

29.4

29.4

25.1

87x63

25.2

87x68

20.6

87x73

15.7

92x0

58.5

58.5

58.5

50.5

92x28

53.7

92x33

*51,5

*51,5

92x38

49.0

92x43

*46.2

92x48

43.1

43.1

36.8

92x53

*39.5

92x58

35.6

30.4

92x63

31.4

92x68

26.8

26.8

22.9

92x73

21.9

92x78

16.6

97x0

65.8

65.8

56.2

97x38

55.6

97x43

*52,8

97x48

49.6

97x53

*46,1

97x58

*42,3

97x63

38.0

97x68

33.4

33.4

97x73

28.5

97x78

23.2

97x83

*17.6

102x0

72.7

72.7

72.7

62.1

102x38

62.6

102x48

56.6

56.6

48.4

102x58

49.2

49.2

42.0

102x68

40.4

34.5

102x73

35.0

102x78

30.2

25.8

102x83

*24.6

102x88

18.6

107x58

56.7

107x63

52.2

52.2

107x73

*42.8

107x78

37.5

107x83

31.9

107x88

25.9

112x0

87.7

87.7

87.7

74.9

112x38

77.6

112x48

71.5

71.5

61.1

112x58

64.1

54.8

112x63

60.0

112x68

55.3

47.3

112x78

45.1

45.1

112x88

33.6

28.7

112x93

27.2

117x63

67.9

117x73

58.4

58.4

117x83

47.5

117x93

*35.2

117x98

28.6

122x0

104.0

104.0

104.0

88.9

122x68

71.7

71.7

61.2

122x78

61.5

122x88

49.2

42.6

122x98

36.9

31.5

122x103

*29,9

127x63

85.0

85.0

85.0

127x73

75.5

127x83

64.6

127x93

52.3

127x103

38.6

127x108

31.2

132x0

121.8

121.8

122.0

104.0

132x68

89.1

132x78

79.2

67.7

132x88

67.6

132x98

53.9

132x108

40.2

135x0

108.7

137x73

93.9

137x93

*70,7

137x103

57.0

142x0

140.9

140.9

141.5

120.4

142x58

117.4

142x78

98.4

98.4

142x88

74.1

142x98

73.0

142x108

58.7

142x118

43.6

147x103

76.9

147x123

45.3

152x0

161.5

161.5

162.0

137.9

152x88

107.3

152x98

94.3

94.3

80.6

152x108

79.9

152x118

64.1

64.1

152x128

47.0

162x0

183.4

183.4

183.5

156.7

162x98

116.3

116.3

116.3

162x118

86.1

73.5

162x128

68.9

162x138

50.3

50.3

172x0

207.0

207.0

172x108

125.2

*107,0

172x128

92.2

172x138

73.6

172x148

53.7

53.7

182x0

232.0

232.0

EXT 197.8

182x118

134.1

182x128

117.5

*99,9

182x138

98.4

182x148

78.4

182x158

57.0

57.0

192x0

258.0

258.0

EXT 220.1

192x128

143.1

192x148

104.5

*89,3

192x168

60.4

202x0

285.0

285.0

202x98

218.0

218.0

218.0

202x138

152.0

152.0

202x148

*112,8

202x158

110.7

202x178

63.7

205x82

*246,8

212x138

180.4

212x148

161.0

212x158

*119,2

212x168

116.8

212x178

92.6

212x188

66.0

222x0

344.0

344.0

222x98

277.2

277.2

222x148

191.3

222x168

147.1

*125,7

222x178

123.0

222x188

97.4

232x158

201.6

201.6

232x178

154.7

*132,1

232x188

129.1

232x198

102.1

242x168

212.0

212.0

242x188

162.2

*138,6

242x198

135.3

242x208

106.9

252x0

444.0

444.0

252x178

222.3

*189,9

252x198

169.8

252x208

141.4

252x218

111.6

262x198

*175,7

262x218

147.6

262x228

116.4

272x168

319.7

319.7

272x228

153.7

272x238

121.1

276x0

*532,5

282x218

*191,0

282x238

159.9

282x248

125.9

292x188

348.8

292x248

166.0

302x148

484.4

302x198

363.3

363.3

*310,4

302x258

172.1

322x238

*280,8

332x248

*290,9

332x273

249.4

352x148

713.0

362x293

315.8

*269,8

392x343

251.6

402x148

976.5

402x348

*241,8

Firkant stænger
Standard dimensioner og legeringer
Standardlængder: 500, 1000, 2000 mm

A x B mm

JM 1-15 Rødgods

JM 3-15
Tin-bronze

JM 7-15/20 Aluminiumbronze

30x30

*6,8

32x32

9,1

9,1

40x40

*12,0

42x42

15,7

15,7

45x45

*15,2

52x12

5,6

5,6

52x14

6,5

6,5

52x18

8,3

8,3

52x22

10,2

10,2

52x52

24,1

24,1

55x55

*22,7

60x60

*27,4

67x12

7,2

7,2

67x14

8,3

8,3

67x18

10,7

10,7

67x22

13,1

13,1

67x32

19,1

19,1

16,3

70x70

*43,6

80x42

25,8

80x51

31.3

82x12

8,8

8,8

82x14

10,2

10,2

82x18

13,1

13,1

82x22

16,1

16,1

102x12

10,9

10,9

102x14

12,7

12,7

102x18

16,3

16,3

102x22

20,2

20,2

102x52

47

103x30

*23,5

105x55

44.2

122x18

19,5

19,5

122x22

23,9

23,9

130x63

62.6

130x65

74,7

142x18

22,7

22,7

142x22

27,8

27,8

150x70

*79,8

150x90

102,6

162x18

26

26

162x22

31,7

31,7

162x72

103

182x18

29,2

29,2

182x22

35,6

35,6

185x90

*126,5

202x18

32,4

32,4

202x22

39,6

39,6

202x30

*46,1

Sekskant stænger
Standard dimensioner og legeringer
Standardlængder: 500, 1000, 2000, 3000 mm. Sekskantstænger m/ hul fremstilles på bestilling

NV mm

JM 1-15 Rødgods

17

2,2

18

2,5

22

3,7

24

4,4

26

5,2

28

6

32

7,9

36

10

44

14,9

50

19,3