Validation of U.S. mortality prediction models for hospitalised heart failure in the United Kingdom and Japan
File(s)EURJHF-17-989-TN_R1 Final.pdf (867.25 KB)
Accepted version
Author(s)
Type
Journal Article
Abstract
Aims
Prognostic models for hospitalized heart failure (HHF) were developed predominantly for patients of European origin in the United States of America; it is unclear whether they perform similarly in other health care systems or for different ethnicities. We sought to validate published prediction models for HHF in the United Kingdom (UK) and Japan.
Methods and results
Patients in the UK (n =894) and Japan (n =3158) were prospectively enrolled and were similar in terms of sex (∼60% men) and median age (∼77 years). Models predicted that British patients would have a higher mortality than Japanese, which was indeed true both for in‐hospital (4.8% vs. 2.5%) and 180‐day (20.7% vs. 9.5%) mortality. The model c‐statistics for the published/derivation (range 0.70–0.76) and Japanese (range 0.75–0.77) cohorts were similar and higher than for the UK (0.62–0.75) but models consistently overestimated mortality in Japan. For in‐hospital mortality, the OPTIMIZE‐HF model performed best, providing similar discrimination in published/derivation, UK and Japanese cohorts [c‐indices: 0.75 (0.74–0.77); 0.75 (0.68–0.81); and 0.77 (0.70–0.83), respectively], and least overestimated mortality in Japan. For 180‐day mortality, the c‐statistics for the ASCEND‐HF model were similar in published/derivation (0.70) and UK [0.69 (0.64–0.74)] cohorts but higher in Japan [0.75 (0.71–0.79)]; calibration was good in the UK but again overestimated mortality in Japan.
Conclusion
Calibration of published prediction models appears moderately accurate and unbiased when applied to British patients but consistently overestimates mortality in Japan. Identifying the reason why patients in Japan have a better than predicted prognosis is of great interest.
Prognostic models for hospitalized heart failure (HHF) were developed predominantly for patients of European origin in the United States of America; it is unclear whether they perform similarly in other health care systems or for different ethnicities. We sought to validate published prediction models for HHF in the United Kingdom (UK) and Japan.
Methods and results
Patients in the UK (n =894) and Japan (n =3158) were prospectively enrolled and were similar in terms of sex (∼60% men) and median age (∼77 years). Models predicted that British patients would have a higher mortality than Japanese, which was indeed true both for in‐hospital (4.8% vs. 2.5%) and 180‐day (20.7% vs. 9.5%) mortality. The model c‐statistics for the published/derivation (range 0.70–0.76) and Japanese (range 0.75–0.77) cohorts were similar and higher than for the UK (0.62–0.75) but models consistently overestimated mortality in Japan. For in‐hospital mortality, the OPTIMIZE‐HF model performed best, providing similar discrimination in published/derivation, UK and Japanese cohorts [c‐indices: 0.75 (0.74–0.77); 0.75 (0.68–0.81); and 0.77 (0.70–0.83), respectively], and least overestimated mortality in Japan. For 180‐day mortality, the c‐statistics for the ASCEND‐HF model were similar in published/derivation (0.70) and UK [0.69 (0.64–0.74)] cohorts but higher in Japan [0.75 (0.71–0.79)]; calibration was good in the UK but again overestimated mortality in Japan.
Conclusion
Calibration of published prediction models appears moderately accurate and unbiased when applied to British patients but consistently overestimates mortality in Japan. Identifying the reason why patients in Japan have a better than predicted prognosis is of great interest.
Date Issued
2018-08-01
Date Acceptance
2018-04-09
Citation
European Journal of Heart Failure, 2018, 20 (8), pp.1179-1190
ISSN
1388-9842
Publisher
Wiley
Start Page
1179
End Page
1190
Journal / Book Title
European Journal of Heart Failure
Volume
20
Issue
8
Copyright Statement
© 2018 The Authors. European Journal of Heart Failure © 2018 European Society of Cardiology. This is the accepted version of the following article, which has been published in final form at https://onlinelibrary.wiley.com/doi/full/10.1002/ejhf.1210
Subjects
Science & Technology
Life Sciences & Biomedicine
Cardiac & Cardiovascular Systems
Cardiovascular System & Cardiology
Acute heart failure
Hospitalized heart failure
Mortality prediction
Outcome
Japan
INITIATE LIFESAVING TREATMENT
PROGNOSTIC-SIGNIFICANCE
NATRIURETIC PEPTIDE
RISK STRATIFICATION
CLINICAL-OUTCOMES
EJECTION FRACTION
RENAL DYSFUNCTION
ORGANIZED PROGRAM
OPTIMIZE-HF
REGISTRY
1102 Cardiovascular Medicine And Haematology
Cardiovascular System & Hematology
Publication Status
Published
Date Publish Online
2018-05-30