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Association Between Muscular Strength and Mortality in Clinical Populations: A Systematic Review and Meta-Analysis
Carmen Jochem1, Michael Leitzmann1, Konstantinos Volaklis2
1Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.
Objectives:
To assess the relationship between muscular strength measures and mortality in outpatient populations with chronic diseases such as cancer, chronic obstructive pulmonary disease, renal disease, and metabolic and vascular diseases, and in critically ill hospitalized patients.
Design:
A systematic review and random-effects meta-analysis of prospective cohort studies was performed.
Setting And Participants:
The databases Medline, Embase, Clinical Trial Register, and Cochrane Trial Register were searched from inception until September 30, 2018. The systematic literature review yielded 39 studies with a total of 39,852 participants.
Results:
Lowest vs highest category of muscular strength revealed a statistically significant increased risk of all-cause mortality with a hazard ratio (HR) and 95% confidence intervals (CI) of 1.80 (95% CI 1.54-2.10). Lower muscular strength was associated with enhanced mortality in patients with cancer (HR 2.40; 95% CI 1.57-3.69), critical illness (HR 2.06; 95% CI 1.33-3.21), renal disease (HR 1.84; 95% CI 1.37-2.47), metabolic and vascular diseases (HR 1.64; 95% CI 1.26-2.14), and chronic obstructive pulmonary disease (HR 1.36; 95% CI 1.16-1.61). Conversely, a 5-kg higher level of muscular strength conferred a reduced risk of overall mortality (HR 0.72; 95% CI 0.59-0.89) and was accompanied by a reduction in mortality in patients with metabolic and vascular diseases (HR 0.52; 95% CI 0.29-0.91), critical illness (HR 0.78; 95% CI 0.61-0.99), and renal disease (HR 0.82; 95% CI 0.73-0.91).
Conclusions And Implications:
Muscular strength is inversely associated with mortality risk in various acute and chronic conditions. Future trials should focus on developing validated cut-points for diagnosing low muscular strength and their predictive value for hard end-points.
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