A comprehensive review and meta-analysis of risk factors for statin-induced myopathy

Eur J Clin Pharmacol. 2018 Sep;74(9):1099-1109. doi: 10.1007/s00228-018-2482-9. Epub 2018 May 22.

Abstract

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.

Keywords: Comprehensive review; Myotoxicity; Risk factors; Risks; Statin-induced myopathy; Statins.

Publication types

  • Meta-Analysis
  • Review

MeSH terms

  • Age Factors
  • Aged
  • Clinical Decision-Making
  • Female
  • Humans
  • Hydroxymethylglutaryl-CoA Reductase Inhibitors / adverse effects*
  • Male
  • Middle Aged
  • Muscular Diseases / chemically induced*
  • Muscular Diseases / diagnosis
  • Muscular Diseases / ethnology
  • Muscular Diseases / genetics
  • Patient Selection
  • Pharmacogenomic Variants
  • Racial Groups
  • Risk Assessment
  • Risk Factors
  • Sex Factors

Substances

  • Hydroxymethylglutaryl-CoA Reductase Inhibitors