Patients' self-assessed functional status in heart failure by New York Heart Association class: a prognostic predictor of hospitalizations, quality of life and death.
Holland, R; Rechel, B; Stepien, K; Harvey, I; Brooksby, I; (2010) Patients' self-assessed functional status in heart failure by New York Heart Association class: a prognostic predictor of hospitalizations, quality of life and death. Journal of cardiac failure, 16 (2). pp. 150-6. ISSN 1071-9164 DOI: https://doi.org/10.1016/j.cardfail.2009.08.010
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Abstract
BACKGROUND: Clinician-assigned New York Heart Association (NYHA) class is an established predictor of outcomes in heart failure. This study aims to test whether patients' self-assessment of functional status by NYHA class predicts hospital admissions, quality of life, and mortality. METHODS AND RESULTS: This was an observational study within a randomized controlled trial. A total of 293 adult patients diagnosed with heart failure were recruited after an emergency admission at 3 acute hospitals in Norfolk, UK. Outcome measures included number of emergency admissions over 6 months, self-assessed quality of life measured with the Minnesota Living with Heart Failure questionnaire (MLHFQ) and EQ-5D at 6 months, and deaths up to 20 months' follow-up. Patients were grouped into 3 NYHA groups (I/II, III, and IV) based on patients' self-assigned NYHA class (SA-NYHA). A Poisson model indicated an increased readmission rate associated with higher SA-NYHA class (adjusted rate ratio 1.21; 95% CI 1.04-1.41; P=.02). Higher SA-NYHA class at baseline predicted worse quality of life at 6 months' follow-up (P=.002 for MLHFQ; P=.047 for EQ-5D), and was associated with higher mortality rate (adjusted hazard ratio 1.84; 95% CI 1.10-3.06; P=.02). CONCLUSIONS: SA-NYHA class is predictive of hospitalization, quality of life, and mortality among patients with heart failure.
| Item Type: | Article |
|---|---|
| Faculty and Department: | Faculty of Infectious and Tropical Diseases > Dept of Disease Control |
| PubMed ID: | 20142027 |
| Web of Science ID: | 277581800009 |
| URI: | http://researchonline.lshtm.ac.uk/id/eprint/25320 |
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