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Self-Rated Health as a Predictor of Death after Two Years: The Importance of Physical and Mental Wellbeing Postintensive Care

INTRODUCTION: The objective of this study is, among half-year intensive care survivors, to determine whether self-assessment of health can predict two-year mortality. METHODS: The study is a prospective cohort study based on the Procalcitonin and Survival Study trial. Half-year survivors from this 1...

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Detalles Bibliográficos
Autores principales: Vejen, Marie, Bjorner, Jakob B., Bestle, Morten H., Lindhardt, Anne, Jensen, Jens U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5585588/
https://www.ncbi.nlm.nih.gov/pubmed/28904962
http://dx.doi.org/10.1155/2017/5192640
Descripción
Sumario:INTRODUCTION: The objective of this study is, among half-year intensive care survivors, to determine whether self-assessment of health can predict two-year mortality. METHODS: The study is a prospective cohort study based on the Procalcitonin and Survival Study trial. Half-year survivors from this 1200-patient multicenter intensive care trial were sent the SF-36 questionnaire. We used both a simple one-item question and multiple questions summarized as a Physical Component Summary (PCS) and a Mental Component Summary (MCS) score. The responders were followed for vital status 730 days after inclusion. Answers were dichotomized into a low-risk and a high-risk group and hazard ratios (HR) with 95% confidence interval (CI) were calculated by Cox proportional hazard analyses. CONCLUSION: We found that self-rated health measured by a single question was a strong independent predictor of two-year all-cause mortality (HR: 1.8; 95% CI: 1.1–3.0). The multi-item component scores of the SF-36 also predicted two-year mortality (PCS: HR: 2.9; 95% CI 1.7–5.0) (MCS: HR: 1.9; 95% CI 1.1–3.4). These results suggest that self-rated health questions could help in identifying patients at excess risk. Randomized controlled trials are needed to test whether our findings represent causality.