Literature DB >> 31292090

Predicting 15-Year Mortality in Adults With Congenital Heart Disease Using Disease Severity and Functional Indices.

Fouke Ombelet1, Eva Goossens2, Silke Apers1, Werner Budts3, Marc Gewillig4, Philip Moons5.   

Abstract

BACKGROUND: Disease severity and functional indices are widely used for risk stratification of patients with congenital heart disease (CHD). The predictive value of these classification systems for assessing long-term mortality is unknown. We aimed to determine and compare the predictive value of disease severity and functional indices for 15-year mortality in adults with CHD.
METHODS: Between 2000 and 2002, we categorized 629 patients with CHD (median age, 24 years; 60% were men) on 5 indices: disease complexity scores based on criteria of Task Force 1 of the 32nd Bethesda Conference; Disease Severity Index; New York Heart Association functional class; Ability Index; and Congenital Heart Disease Functional Index (CHDFI). Harrell's concordance statistics index (C-index) was calculated for each classification system through Cox hazard regression analysis to evaluate their performance on predicting all-cause and cardiac mortality over the subsequent 15 years.
RESULTS: Over the 15-year follow-up period, 40 patients died, resulting in a mortality rate of 4.56 per 1000 person-years. The CHDFI showed the highest discrimination ability for all-cause mortality (C-index = 0.74; P < 0.001) and cardiac mortality (C-index = 0.76; P < 0.001). The C-index for the other classifications ranged from 0.58 to 0.71 for all-cause mortality and 0.55 to 0.67 for cardiac mortality. The CHDFI showed statistical superiority toward the Disease Severity Index (P < 0.01).
CONCLUSIONS: These results suggest that the Task Force 1 of the 32nd Bethesda Conference, New York Heart Association functional class, Ability Index, and CHDFI could aid in predicting long-term mortality. The CHDFI demonstrated the highest discrimination ability and emphasizes the importance to integrate both anatomic and physiological variables to predict long-term mortality.
Copyright © 2019 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 31292090     DOI: 10.1016/j.cjca.2019.04.018

Source DB:  PubMed          Journal:  Can J Cardiol        ISSN: 0828-282X            Impact factor:   5.223


  3 in total

1.  Long-term outcomes in pulmonary arterial hypertension by functional class: a meta-analysis of randomized controlled trials and observational registries.

Authors:  Nick H Kim; Micah Fisher; David Poch; Carol Zhao; Mehul Shah; Sonja Bartolome
Journal:  Pulm Circ       Date:  2020-11-25       Impact factor: 3.017

2.  Newly Developed Adult Congenital Heart Disease Anatomic and Physiological Classification: First Predictive Validity Evaluation.

Authors:  Fouke Ombelet; Eva Goossens; Alexander Van De Bruaene; Werner Budts; Philip Moons
Journal:  J Am Heart Assoc       Date:  2020-02-24       Impact factor: 5.501

3.  Tuning and external validation of an adult congenital heart disease risk prediction model.

Authors:  Laurie W Geenen; Alexander R Opotowsky; Cara Lachtrupp; Vivan J M Baggen; Sarah Brainard; Michael J Landzberg; David van Klaveren; Hester F Lingsma; Eric Boersma; Jolien W Roos-Hesselink
Journal:  Eur Heart J Qual Care Clin Outcomes       Date:  2022-01-05
  3 in total

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