Evaluation of Potential Drug–Drug Interactions and Risk Factors in Elderly Patients with Peripheral Neuropathy
Background and Objectives: The geriatric population is at excessive risk of potential drug–drug interactions (pDDIs). Nevertheless, polypharmacy is quoted as a significant associated factor; several other factors were only explored a little. The study aimed to evaluate the profile of pDDIs and the a...
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Veröffentlicht in: | Journal of the Indian academy of geriatrics 2023-10, Vol.19 (4), p.220-224 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Background and Objectives: The geriatric population is at excessive risk of potential drug–drug interactions (pDDIs). Nevertheless, polypharmacy is quoted as a significant associated factor; several other factors were only explored a little. The study aimed to evaluate the profile of pDDIs and the associated risk factors among geriatric peripheral neuropathy patients in a tertiary care teaching hospital. Materials and Methods: The study was an extended evaluation of data gathered during a randomized clinical trial for the first-line drugs used to treat peripheral neuropathy, which enrolled participants aged ≥60 years. Data were collected from the outpatient department cards of the patients and were scrutinized using Lexicomp-UpToDate software. Results: The study included 80 patients. Most (56.3%) were male, and half of the included patients had diabetes. In the analysis of 80 prescriptions, 55 different drugs were prescribed. The incidence of pDDIs was 40%. About 57.5% of prescriptions had at least one fixed-dose combination (FDC). Polypharmacy (≥5 drugs) was observed in 41.2% of the prescriptions. Among the several risk factors analyzed, patients with >2 comorbidities (RR: 1.99; confidence interval [CI]: 1.09–3.65; P = 0.02*), the triad of diabetes, hypertension, and dyslipidemia (RR; 2.27; CI: 1.42–3.62; P = 0.003*), receiving polypharmacy (RR: 5.1; CI: 2.5–10.35; P = 0.00001*), and FDC (RR: 7.14; CI: 2.3–21.53; P = 0.00001*) were found to be statistically significant predictors of pDDIs. Conclusion: Our study found that multimorbidities lead to polypharmacy and FDC, resulting in clinically significant pDDIs. |
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ISSN: | 0974-3405 0974-2484 |
DOI: | 10.4103/jiag.jiag_23_23 |