Evaluation of Potential Drug–Drug Interactions and Risk Factors in Elderly Patients with Peripheral Neuropathy

Author:

Singh Alok1,Kannauje Pankaj Kumar2,Dhaneria Suryaprakash1,Balasundaram Mahesh Kumar1

Affiliation:

1. Department of Pharmacology, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India

2. Department of General Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India

Abstract

Abstract 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.

Publisher

Medknow

Subject

General Medicine

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