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Lessons learned from the Pediatric Cardiomyopathy Registry (PCMR) Study Group*

Published online by Cambridge University Press:  17 September 2015

James D. Wilkinson
Affiliation:
Department of Pediatrics, Wayne State University School of Medicine, Children’s Research Center of Michigan, Detroit, Michigan, United States of America
Joslyn A. Westphal
Affiliation:
Department of Pediatrics, Wayne State University School of Medicine, Children’s Research Center of Michigan, Detroit, Michigan, United States of America
Neha Bansal
Affiliation:
Department of Pediatrics, Detroit Medical Center, Children’s Hospital of Michigan, Detroit, Michigan, United States of America
Jason D. Czachor
Affiliation:
Department of Pediatrics, Wayne State University School of Medicine, Children’s Research Center of Michigan, Detroit, Michigan, United States of America
Hiedy Razoky
Affiliation:
Department of Pediatrics, Wayne State University School of Medicine, Children’s Research Center of Michigan, Detroit, Michigan, United States of America
Steven E. Lipshultz*
Affiliation:
Department of Pediatrics, Wayne State University School of Medicine, Children’s Research Center of Michigan, Detroit, Michigan, United States of America University of Miami Miller School of Medicine, Miami, Florida, United States of America
*
Correspondence to: S. E. Lipshultz, MD, Department of Pediatrics, Wayne State University School of Medicine, 3901 Beaubien Boulevard, 1K40, Detroit, MI 48201, United States of America.Tel: +313 745 5870; Fax: +313 993 0390; E-mail: slipshultz@med.wayne.edu
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Abstract

Cardiomyopathy is a rare disorder of the heart muscle, affecting 1.13 cases per 100,000 children, from birth to 18 years of age. Cardiomyopathy is the leading cause of heart transplantation in children over the age of 1. The Pediatric Cardiomyopathy Registry funded in 1994 by the National Heart, Lung, and Blood Institute was established to examine the epidemiology of the disease in children below 18 years of age. More than 3500 children across the United States and Canada have been enrolled in the Pediatric Cardiomyopathy Registry, which has followed-up these patients until death, heart transplantation, or loss to follow-up. The Pediatric Cardiomyopathy Registry has provided the most in-depth illustration of this disease regarding its aetiology, clinical course, associated risk factors, and patient outcomes. Data from the registry have helped in guiding the clinical management of cardiomyopathy in children under 18 years of age; however, questions still remain regarding the most clinically effective diagnostic and treatment approaches for these patients. Future directions of the registry include the use of next-generation whole-exome sequencing and cardiac biomarkers to identify aetiology-specific treatments and improve diagnostic strategies. This article provides a brief synopsis of the work carried out by the Pediatric Cardiomyopathy Registry since its inception, including the current knowledge on the aetiologies, outcomes, and treatments of cardiomyopathy in children.

Figure 0

Table 1 Inclusion criteria for enrolment in the Pediatric Cardiomyopathy Registry.

Figure 1

Table 2 Exclusion criteria for enrolment in the Pediatric Cardiomyopathy Registry.

Figure 2

Table 3 G4.5 gene variants found in 37 of 160 children enrolled in the Pediatric Cardiomyopathy Registry.*

Figure 3

Table 4 Prevalence of congestive heart failure and median fractional shortening z-scores for 1426 children with dilated cardiomyopathy at the time of diagnosis.

Figure 4

Figure 1 Freedom from death or transplantation for 1423 children with dilated cardiomyopathy, by cause. Data are from the Pediatric Cardiomyopathy Registry collected between 1990 and 2002 (reproduced with permission from Towbin et al3).

Figure 5

Figure 2 Crude cumulative incidences of echocardiographic normalisation, cardiac transplantation, and death among children with myocarditis – combined biopsy-confirmed myocarditis and probable myocarditis groups – and abnormal function at presentation with left ventricular end-diastolic dilation at diagnosis (a) or no left ventricular end-diastolic dilation at diagnosis (b). The two groups differed in the incidence of cardiac transplant (p=0.02) and echocardiographic normalisation rates (p<0.001) but not mortality (p=0.45). Curves are truncated at 8 years (reprinted with permission from Foerster et al17).

Figure 6

Figure 3 Freedom from death or transplantation for 855 children with idiopathic hypertrophic cardiomyopathy, by age at diagnosis. Data are from the Pediatric Cardiomyopathy Registry collected between 1990 and 2002 (reproduced with permission from Colan et al19).

Figure 7

Figure 4 Survival rates from the date of diagnosis of cardiomyopathy in children with (a) inborn errors of metabolism (n=74, logrank p<0.001); (b) malformation syndromes (n=77, logrank p=0.07); (c) neuromuscular disease (n=64, logrank p=0.22); and (d) idiopathic hypertrophic cardiomyopathy (n=634, logrank p<0.001), by age at diagnosis (reproduced with permission from Colan et al19)

Figure 8

Table 5 Prevalence of congestive heart failure and mean fractional shortening z-scores for 849 children with hypertrophic cardiomyopathy at the time of diagnosis.

Figure 9

Figure 5 Risk of death or transplantation in 882 children with hypertrophic cardiomyopathy, by number of cause-specific risk factors. Data are from the Pediatric Cardiomyopathy Registry collected between 1990 and 2002 (from Lipshultz et al20).

Figure 10

Figure 6 Probability of freedom from death, censored at transplantation, among 152 children with RCM stratified by phenotype, pure RCM versus mixed/overlapping phenotype RCM/HCM. CM=cardiomyopathy; HCM=hypertrophic cardiomyopathy; and RCM=restrictive cardiomyopathy (reprinted with permission from Webber et al22).

Figure 11

Figure 7 Survival after listing for heart transplantation among children with cardiomyopathy by heart failure severity score. Severity score 2=children on mechanical ventilatory or circulatory support; 1=children on intravenous inotropic support without mechanical support; 0=children on neither intravenous inotropic nor mechanical support (reprinted with permission from Larsen et al27).

Figure 12

Figure 8 Physical and psychosocial function of 294 children with cardiomyopathy, by functional type, compared with scores for healthy children. Data are from the Child Health Questionnaire administered by the Pediatric Cardiomyopathy Registry between 1990 and 2002 (from Sleeper et al31).

Figure 13

Figure 9 Mean Child Health Questionnaire (CHQ) z-scores for 303 children with cardiomyopathy, by domain. Data are from the Pediatric Cardiomyopathy Registry and were collected between 1990 and 2002. PF=physical functioning; RE=role/social limits-emotional; RP=role/social limits-physical; PAIN= bodily pain; BEH=behaviour; MH=mental health; SE=self-esteem; GH=general health perception; PE=parental impact-emotional; PT=parental impact-time (from Sleeper et al31).