Predicting mortality and hospitalization of older adults by the multimorbidity frailty index

• DOI: 10.1371/journal.pone.0187825
• Publication Date: 2017-11-16T15:50:50Z
• Authors: Yao-Chun Wen; Liang-Kung Chen; Fei-Yuan Hsiao
• Keywords: Quartile

Existing operational definitions of frailty are personnel-costly and time-consuming, resulting in estimates with a small sample size that cannot be generalized to the population level. The objectives were develop multimorbidity index using Taiwan's claim database, understand its ability predict adverse event.This is retrospective cohort study. Subjects aged 65 100 years who have full National Health Insurance coverage 2005 included. We constructed cumulative deficit approach categorized study according quartiles: fit, mild frailty, moderate severe frailty. included deficits from outpatient inpatient diagnosis. Associations all-cause mortality, unplanned hospitalization intensive care unit admission assessed Kaplan-Meier curves Cox regression analyses.The incorporated 32 deficits, mean score 0.052 (standard deviation = 0.060) among 86,133 subjects Compared fit category, associated 5.0-fold (adjusted hazard ratio, aHR 4.97; 95% confidence interval, CI 4.49-5.50) increased risk death at 1 year after adjusting for age gender. or was 3.1- HR 3.08; 2.80-3.39) 1.9- 1.86; 1.71-2.01) folds risk, respectively.4.49-5.50). trend similar population. Besides, association between categories all three outcomes slightly stronger women.The highly ICU admission. It could serve as an efficient tool stratifying older adults into different groups planning management programs.