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Development and application of an algorithm for statin-induced myopathy based on electronic health record-derived
Akinyemi Oni-Orisan1, Meng Lu2, Jonathan A Peng3
1Department of Clinical Pharmacy, Institute for Human Genetics, University of California San Francisco, San Francisco CA 94143, USA.
Medrxiv : the Preprint Server for Health Sciences
|May 10, 2023
Summary
This study developed a new algorithm to accurately identify statin-induced myopathy (SIM) in electronic health records. The tool improves research quality by reliably detecting statin-related muscle symptoms.
Area of Science:
- Pharmacovigilance
- Clinical Informatics
- Drug Safety Research
Background:
- Statin-induced myopathy (SIM) presents non-specific symptoms, complicating its identification in electronic health records (EHRs).
- Previous algorithms for SIM detection lacked broad applicability due to limited study populations.
- Accurate identification of SIM is crucial for reliable research on statin-related adverse events.
Conclusions:
- The developed algorithm provides an efficient and applicable tool for improving SIM research.
- This methodological advancement enhances the quality and reliability of studies on statin-induced myopathy.
- Facilitates more accurate analysis of statin-induced adverse drug reactions using EHR data.
