Literature DB >> 34314540

Sudden cardiac death in childhood hypertrophic cardiomyopathy is best predicted by a combination of ECG Risk-score and HCMRisk-Kids score.

Ingegerd Östman-Smith1, Gunnar Sjöberg2, Jenny Alenius Dahlqvist3, Per Larsson4, Eva Fernlund5,6.   

Abstract

AIM: To compare risk-algorithms (HCMRisk-Kids, ECG Risk-score) in hypertrophic cardiomyopathy (HCM) without syndrome association (ns-HCM), and with Noonan-like syndromes (RAS-HCM).
METHODS: A national paediatric HCM-cohort (n=151), presenting <19y of age, mean follow-up 13.3y, from all Swedish centres of Paediatric Cardiology (presenting 1972-2015), with 41 RAS-HCM-patients (61% males), and 110 ns-HCM-patients (68% familial; 65% males). The end-point was a composite of sudden cardiac death and re-suscitated cardiac arrest (SCD/CA). Risk-factors were studied with Cox-hazard regression, and ROC-curve analysis (C-statistic).
RESULTS: There were 33 SCD/CA, 27/110 in ns-HCM and 6/41 in RAS-HCM (p=0.27). In ns-HCM HCMRisk-Kids ≥6% at diagnosis had C-statistic of 0.69 for predicting SCD/CA during first 5y of follow-up, and positive predictive value (PPV) of 22%. After 7y of age (HCMRisk-Kids7plus) C-statistic was 0.76. ECG Risk-score ≥6 at diagnosis had C-statistic 0.87 and PPV of 31%. Independent risk factors for SCD/CA were HCMRisk-Kids7plus score (p=0.005) and ECG risk-score (p<0.001), whereas early beta-blocker dose (p=0.001) and myectomy (p=0.004) reduced risk. The sum of HCMRisk-Kids7yplus and ECG Risk-score7yplus ≥14 best predicted SCD/CA within 5y in ns-HCM with C-statistic of 0.90 [0.83-0.96], sensitivity 100%, and PPV 38%.
CONCLUSIONS: Combining the ECG Risk-score with HCMRisk-Kids improves risk-stratification in ns-HCM, and shows promise in RAS-HCM. This article is protected by copyright. All rights reserved.

Entities:  

Keywords:  Beta-blocker; Hypertrophic cardiomyopathy; Noonan syndrome; Risk factors; Sudden death

Year:  2021        PMID: 34314540     DOI: 10.1111/apa.16045

Source DB:  PubMed          Journal:  Acta Paediatr        ISSN: 0803-5253            Impact factor:   2.299


  3 in total

Review 1.  What Aspects of Phenotype Determine Risk for Sudden Cardiac Death in Pediatric Hypertrophic Cardiomyopathy?

Authors:  Ingegerd Östman-Smith
Journal:  J Cardiovasc Dev Dis       Date:  2022-04-21

2.  Machine learning techniques for arrhythmic risk stratification: a review of the literature.

Authors:  Cheuk To Chung; George Bazoukis; Sharen Lee; Ying Liu; Tong Liu; Konstantinos P Letsas; Antonis A Armoundas; Gary Tse
Journal:  Int J Arrhythmia       Date:  2022-04-01

3.  Pediatric Hypertrophic Cardiomyopathy: Exploring the Genotype-Phenotype Association.

Authors:  Minh B Nguyen; Seema Mital; Luc Mertens; Aamir Jeewa; Mark K Friedberg; Julien Aguet; Arnon Adler; Christopher Z Lam; Andreea Dragulescu; Harry Rakowski; Olivier Villemain
Journal:  J Am Heart Assoc       Date:  2022-02-18       Impact factor: 6.106

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.