Dataset Information

Pediatric cardiomyopathy: importance of genetic and metabolic evaluation.

ABSTRACT:

Background

Cardiomyopathy is a heterogeneous disease with a strong genetic component. A research-based pediatric cardiomyopathy registry identified familial, syndromic, or metabolic causes in 30% of children. However, these results predated clinical genetic testing.

Methods and results

We determined the prevalence of familial, syndromic, or metabolic causes in 83 consecutive unrelated patients referred for genetic evaluation of cardiomyopathy from 2006 to 2009. Seventy-six percent of probands (n = 63) were categorized as familial, syndromic, or metabolic. Forty-three percent (n = 18) of hypertrophic cardiomyopathy (HCM) patients had mutations in sarcomeric genes, with MYH7 and MYBPC3 mutations predominating. Syndromic (17%; n = 7) and metabolic (26%; n = 11) causes were frequently identified in HCM patients. The metabolic subgroup was differentiated by decreased endocardial shortening fraction on echocardiography. Dilated cardiomyopathy (DCM) patients had similar rates of syndromic (20%; n = 5) and metabolic (16%; n = 4) causes, but fewer familial cases (24%; n = 6) compared with HCM patients.

Conclusions

The cause of cardiomyopathy is identifiable in a majority of affected children. An underlying metabolic or syndromic cause is identified in >35% of children with HCM or DCM. Identification of etiology is important for management, family-based risk assessment, and screening.

SUBMITTER: Kindel SJ

PROVIDER: S-EPMC3345128 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature

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Publications

Pediatric cardiomyopathy: importance of genetic and metabolic evaluation.

Kindel Steven J SJ Miller Erin M EM Gupta Resmi R Cripe Linda H LH Hinton Robert B RB Spicer Robert L RL Towbin Jeffrey A JA Ware Stephanie M SM

Journal of cardiac failure 20120310 5

<h4>Background</h4>Cardiomyopathy is a heterogeneous disease with a strong genetic component. A research-based pediatric cardiomyopathy registry identified familial, syndromic, or metabolic causes in 30% of children. However, these results predated clinical genetic testing.<h4>Methods and results</h4>We determined the prevalence of familial, syndromic, or metabolic causes in 83 consecutive unrelated patients referred for genetic evaluation of cardiomyopathy from 2006 to 2009. Seventy-six percent ...[more]

PMID: 22555271

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Project description:Background Pediatric cardiomyopathy is a genetically heterogeneous disease with substantial morbidity and mortality. Current guidelines recommend genetic testing in children with hypertrophic, dilated, or restrictive cardiomyopathy, but practice variations exist. Robust data on clinical testing practices and diagnostic yield in children are lacking. This study aimed to identify the genetic causes of cardiomyopathy in children and to investigate clinical genetic testing practices. Methods and Results Children with familial or idiopathic cardiomyopathy were enrolled from 14 institutions in North America. Probands underwent exome sequencing. Rare sequence variants in 37 known cardiomyopathy genes were assessed for pathogenicity using consensus clinical interpretation guidelines. Of the 152 enrolled probands, 41% had a family history of cardiomyopathy. Of 81 (53%) who had undergone clinical genetic testing for cardiomyopathy before enrollment, 39 (48%) had a positive result. Genetic testing rates varied from 0% to 97% between sites. A positive family history and hypertrophic cardiomyopathy subtype were associated with increased likelihood of genetic testing (P=0.005 and P=0.03, respectively). A molecular cause was identified in an additional 21% of the 63 children who did not undergo clinical testing, with positive results identified in both familial and idiopathic cases and across all phenotypic subtypes. Conclusions A definitive molecular genetic diagnosis can be made in a substantial proportion of children for whom the cause and heritable nature of their cardiomyopathy was previously unknown. Practice variations in genetic testing are great and should be reduced. Improvements can be made in comprehensive cardiac screening and predictive genetic testing in first-degree relatives. Overall, our results support use of routine genetic testing in cases of both familial and idiopathic cardiomyopathy. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT01873963.

Project description:Background:Cardiomyopathies are a rare cause of pediatric heart disease, but they are one of the leading causes of heart failure admissions, sudden death, and need for heart transplant in childhood. Reports from the Pediatric Cardiomyopathy Registry (PCMR) have shown that almost 40% of children presenting with symptomatic cardiomyopathy either die or undergo heart transplant within 2 years of presentation. Little is known regarding circulating biomarkers as predictors of outcome in pediatric cardiomyopathy. Study Design:The Cardiac Biomarkers in Pediatric Cardiomyopathy (PCM Biomarkers) study is a multi-center prospective study conducted by the PCMR investigators to identify serum biomarkers for predicting outcome in children with dilated cardiomyopathy (DCM) and hypertrophic cardiomyopathy (HCM). Patients less than 21 years of age with either DCM or HCM were eligible. Those with DCM were enrolled into cohorts based on time from cardiomyopathy diagnosis: categorized as new onset or chronic. Clinical endpoints included sudden death and progressive heart failure. Results:There were 288 children diagnosed at a mean age of 7.2±6.3 years who enrolled in the PCM Biomarkers Study at a median time from diagnosis to enrollment of 1.9 years. There were 80 children enrolled in the new onset DCM cohort, defined as diagnosis at or 12 months prior to enrollment. The median age at diagnosis for the new onset DCM was 1.7 years and median time from diagnosis to enrollment was 0.1 years. There were 141 children enrolled with either chronic DCM or chronic HCM, defined as children ?2 years from diagnosis to enrollment. Among children with chronic cardiomyopathy, median age at diagnosis was 3.4 years and median time from diagnosis to enrollment was 4.8 years. Conclusion:The PCM Biomarkers study is evaluating the predictive value of serum biomarkers to aid in the prognosis and management of children with DCM and HCM. The results will provide valuable information where data are lacking in children. Clinical Trial Registration NCT01873976:https://clinicaltrials.gov/ct2/show/NCT01873976?term=PCM+Biomarker&rank=1.

Dataset Information

Pediatric cardiomyopathy: importance of genetic and metabolic evaluation.

Background

Methods and results

Conclusions

Publications

Pediatric cardiomyopathy: importance of genetic and metabolic evaluation.

Similar Datasets

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