Utility of the SENIORS elderly heart failure risk model applied to the RICA registry of acute heart failure

Montero-Perez-Barquero, Manuel, Manzano, Luis, Formiga, Francesc, Roughton, Michael, Coats, Andrew, Rodríguez-Artalejo, Fernando, Diez-Manglano, Jesus, Bettencourt, Paulo, Llacer, Pau and Flather, Marcus (2015) Utility of the SENIORS elderly heart failure risk model applied to the RICA registry of acute heart failure. International Journal of Cardiology, 182. pp. 449-453. ISSN 0167-5273

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Abstract

Background: Heart failure (HF) is predominantly a disease of the elderly. Reliable risk stratification would help in the management of this population, but no model has been well evaluated in elderly HF patients in both acute and chronic settings and not being restricted by ejection fraction. To evaluate the utility of the SENIORS risk model, developed from a clinical trial of elderly patients with chronic HF, in an independent cohort (National Spanish Registry: RICA) of elderly acute HF patients. Methods: We applied the SENIORS risk model to 926 patients in RICA to estimate risk at one year of a) composite outcome of all-cause mortality or cardiovascular hospital admission and b) all-cause mortality. Results: In the RICA registry mean age was 78 years, mean ejection fraction 51% and 87% were in NYHA II and III. At one year death/CV hospitalization occurred in 31.9% and all-cause mortality in 19.5%. The risk model provided good separation of Kaplan Meier curves stratified by tertile for death/CV hospitalization and all-cause mortality. The observed versus expected rates of death/CV hospitalization in the lowest, middle and highest risk tertiles were (%) 34/24, 45/41 and 57/67, and for death 13/16, 32/38 and 44/70 respectively. C-statistic for all-cause mortality or CV hospitalization was 0.60 and for all-cause mortality 0.66. Conclusion: The SENIORS risk model was a reliable tool for relative risk stratification among acute heart failure patients in a “real world” registry, but predicted versus observed risk showed some variability. The model provides a useful basis for clinical risk prediction.

Item Type:	Article
Uncontrolled Keywords:	heart failure,mortality,morbidity,risk score
Faculty \ School:	Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Groups > Cardiovascular and Metabolic Health Faculty of Medicine and Health Sciences > Research Groups > Norwich Clinical Trials Unit Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023)
Depositing User:	Pure Connector
Date Deposited:	10 Feb 2016 12:00
Last Modified:	22 Oct 2022 00:49
URI:	https://ueaeprints.uea.ac.uk/id/eprint/57027
DOI:	10.1016/j.ijcard.2014.12.173

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