Multidimensional frailty as a predictor of mortality among older adults: a systematic review and meta-analysis.

OBJECTIVE

This systematic review examined studies that assessed the relationship between mortality risk and multidimensional frailty. The pooled risk of mortality was estimated via a meta-analysis.

DESIGN

A systematic review and meta-analysis.

METHODS

A systematic search for potentially eligible literature was conducted on January 2, 2023, using five electronic databases: Web of Science, CINAHL, PubMed, the Cochrane Library and Embase. This review included cohort or longitudinal studies examining the association between multidimensional frailty/prefrailty and mortality in older adults. The quality of the included studies was evaluated via the Quality in Prognosis Studies (QUIPS) tool. Two independent researchers identified eligible studies and extracted the data. The data analyses were performed via STATA, version 15.0.

RESULTS

A total of 24 studies with 34,664 participants were included. The 24 studies were published between 2012 and 2022, with most studies being performed in Italy (n = 16). The sample sizes of the included studies ranged from 71 to 12,020. Most included studies were conducted in hospital settings. The QUIPS bias assessment results showed that the most frequent source of potential bias was study confounding. The meta-analysis results showed that multidimensional frailty was a significant predictor of mortality (HR = 5.48, 95% CI = 3.91-7.67, p < 0.001). In addition, multidimensional prefrailty was also a significant predictor of mortality (HR = 2.56, 95% CI = 2.17-3.02, p < 0.001). The results of the meta-analysis using the ORs revealed that multidimensional frailty was a risk factor for mortality in older people (OR = 4.59, 95% CI = 2.47-8.55, p < 0.05).

CONCLUSIONS AND IMPLICATIONS

This systematic review of the relationship between multidimensional frailty and mortality found that multidimensional frailty/prefrailty is a predictor of mortality. More studies should be conducted in community dwelling populations and nursing homes.