Cited by 1,251Cardiomyopathy and Myosin StudiesCardiovascular Effects of ExerciseCardiac electrophysiology and arrhythmias

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A novel clinical risk prediction model for sudden cardiac death in hypertrophic cardiomyopathy (HCM Risk-SCD)

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O'Mahony, C., Jichi, F., Pavlou, M., Monserrat, L., Anastasakis, A., Rapezzi, C., Biagini, E., Gimeno, J. R., Limongelli, G., McKenna, W. J., Omar, R. Z., Elliott, P. M., for the Hypertrophic Cardiomyopathy Outcomes Investigators·2014·European Heart Journal

DOI 10.1093/eurheartj/eht439

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Abstract

AIMS: Hypertrophic cardiomyopathy (HCM) is a leading cause of sudden cardiac death (SCD) in young adults. Current risk algorithms provide only a crude estimate of risk and fail to account for the different effect size of individual risk factors. The aim of this study was to develop and validate a new SCD risk prediction model that provides individualized risk estimates. METHODS AND RESULTS: The prognostic model was derived from a retrospective, multi-centre longitudinal cohort study. The model was developed from the entire data set using the Cox proportional hazards model and internally validated using bootstrapping. The cohort consisted of 3675 consecutive patients from six centres. During a follow-up period of 24 313 patient-years (median 5.7 years), 198 patients (5%) died suddenly or had an appropriate implantable cardioverter defibrillator (ICD) shock. Of eight pre-specified predictors, age, maximal left ventricular wall thickness, left atrial diameter, left ventricular outflow tract gradient, family history of SCD, non-sustained ventricular tachycardia, and unexplained syncope were associated with SCD/appropriate ICD shock at the 15% significance level. These predictors were included in the final model to estimate individual probabilities of SCD at 5 years. The calibration slope was 0.91 (95% CI: 0.74, 1.08), C-index was 0.70 (95% CI: 0.68, 0.72), and D-statistic was 1.07 (95% CI: 0.81, 1.32). For every 16 ICDs implanted in patients with ≥4% 5-year SCD risk, potentially 1 patient will be saved from SCD at 5 years. A second model with the data set split into independent development and validation cohorts had very similar estimates of coefficients and performance when externally validated. CONCLUSION: This is the first validated SCD risk prediction model for patients with HCM and provides accurate individualized estimates for the probability of SCD using readily collected clinical parameters.

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Authors: O'Mahony, C., Jichi, F., Pavlou, M., Monserrat, L., Anastasakis, A., Rapezzi, C., Biagini, E., Gimeno, J. R., Limongelli, G., McKenna, W. J., Omar, R. Z., Elliott, P. M., & for the Hypertrophic Cardiomyopathy Outcomes Investigators
Affiliations: University College London (GB)
National and Kapodistrian University of Athens (GR)
University of Bologna (IT)
Hospital Universitario Virgen de la Arrixaca (ES)
University of Campania "Luigi Vanvitelli" (IT)
University College Hospital at Westmoreland Street (GB)
ORCID: Pavlou, M.
Monserrat, L.
Rapezzi, C.
Biagini, E.
Gimeno, J. R.
Limongelli, G.
McKenna, W. J.
Omar, R. Z.
Venue: European Heart Journal
Publisher: Oxford University Press (OUP)
Published: 2013-10-14
Volume: 35
Issue: 30
Pages: 2010-2020
ISSN: 0195-668X (ISSN-L)
1522-9645
DOI: 10.1093/eurheartj/eht439
OpenAlex: W2119361626
Cited by: 1,251
References: 50
Citations by year: 2026: 107 · 2025: 124 · 2024: 115 · 2023: 120 · 2022: 99 · 2021: 125 · 2020: 116 · 2019: 87 · 2018: 81 · 2017: 100 · 2016: 67 · 2015: 76 · 2014: 31 · 2013: 2
FWCI: 39.92
Type: journal article
Language: en
Open access: bronze
doi.org
Locations: European Heart Journal (publishedVersion)
PubMed (publishedVersion)
Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
UCL Discovery (University College London) (submittedVersion)
Hispana (submittedVersion)
Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli" (submittedVersion)
RUNA. Repositorio Institucional del Sergas (Servicio Gallego de Salud (SERGAS)) (submittedVersion, other-oa)
Institutional Research Information System University of Ferrara (University of Ferrara) (submittedVersion)
INFM-OAR (INFN Catania) (submittedVersion, other-oa)
Funders: National Institute for Health and Care Research (NF-SI-0509-10230)
Università di Bologna
Topics: Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiomyopathy and Myosin Studies
Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Effects of Exercise
Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
Keywords: hypertrophic cardiomyopathy, sudden cardiac death, risk prediction model, individualized risk estimation, implantable cardioverter-defibrillator, left ventricular wall thickness, left ventricular outflow tract gradient, family history of sudden cardiac death, non-sustained ventricular tachycardia, unexplained syncope, left atrial diameter, model validation
MeSH terms: Adult, Cardiomyopathy, Hypertrophic, Female, Humans, Male, Middle Aged, Prognosis, Retrospective Studies, Reproducibility of Results, Proportional Hazards Models, Death, Sudden, Cardiac, Sample Size, Risk Assessment

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A novel clinical risk prediction model for sudden cardiac death in hypertrophic cardiomyopathy (HCM Risk-SCD)

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