Relationship Between Multimorbidity, Combination and All-Cause Mortality Among Older Adults: A Retrospective Cohort Analysis
Abstract Background: Previous studies have evaluated the association of multimorbidity with higher mortality, but epidemiologic data on the association between the combination of multimorbidity and all-cause mortality risk are rare. We aimed to examine the relationship between multimorbidity (number/combination) and all-cause mortality in Chinese older adults. Methods: We conducted a population-based study of 50,100 Chinese participants. Cox regression models were used to estimate the impact of long-term conditions (LTCs) on all-cause mortality. Results: The prevalence of multimorbidity was 31.35% and all-cause mortality was 8.01% (50,100 participants). In adjusted Cox models, the hazard rations (HRs) and 95% confidence intervals (CIs) of all-cause mortality risk for those with 1, 2, and ≥ 3 LTCs compared with those with no LTCs was 1.10 (1.01-1.20), 1.21 (1.10-1.33), and 1.46 (1.27-1.67), respectively (Ptrend <0.001). In the LTCs ≥ 2 category, the combination of chronic diseases that included hypertension, diabetes, CHD, COPD, and stroke had the greatest impact on mortality. In the stratified model by age and sex, absolute all-cause mortality was higher among the ≥ 75 age group with an increasing number of LTCs. However, the relative effect size of the increasing number of LTCs on higher mortality risk was larger among those < 75 years.Conclusions: The risk of all-cause mortality is increased with the number of multimorbidity among Chinese older adults, particularly combinations.