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Updated: Feb 10, 2026

Author Spotlight: Advanced Integrated Model for Sepsis-Induced Myopathy and Single-Cell Metabolic Analysis
Published on: June 14, 2024
A comprehensive review and meta-analysis of risk factors for statin-induced myopathy
Khoa A Nguyen1,2, Lang Li3, Deshun Lu4
1Center for Health Information and Communication, Department of Veterans Affairs (VA), Veterans Health Administration, Health Service Research and Development Service (CIN 13-416), Richard L. Roudebush VA Medical Center, D6004-02, 1481 West 10th Street, Indianapolis, IN, 46202, USA. ngkhoa@umich.edu.
Purpose:
To aid prescribers in assessing a patient's risk for statin-induced myopathy (SIM), we performed a comprehensive review of currently known risk factors and calculated aggregated odds ratios for each risk factor through a meta-analysis.
Methods:
This meta-analysis was done through four phases: (1) Identification of the relevant primary literature; (2) abstract screening using inclusion and exclusion criteria; (3) detailed review and data extraction; and (4) synthesis and statistical analysis.
Results:
Out of 44 papers analyzed from 836 papers searched from MEDLINE, 18 different potential risk factors were collected, divided into three categories: three demographics (11 papers), ten clinical factors (31 papers), and five pharmacogenetics/biomarkers (12 papers). Risk factors significant for myopathy and/or rhabdomyolysis included age, gender, diabetes, renal impairment, cardiovascular disease, certain interacting drugs, and mutations of the SLCO1B1 gene, which encodes a transporter protein in the liver. Several factors, such as gender, race, cardiovascular disease, and the GATM gene, which encodes a protein for creatine synthesis, appeared to be protective in terms of the outcomes of interest.
Conclusions:
This comprehensive assessment of risk factors can help support clinicians in reducing the incidence of SIM in their patient population on statins.
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