A study to Monitor Adverse drug reactions in a patients of ChronicObstructive pulmonary Disease

Abstract

Background: Inappropriate drug usage may preclude ideal benefit due to increased medical cost, adverse effects and mortality. Therefore drug utilization studies have become a plausible means in evaluating the healthcare systems. COPD management usually involves more than one drug which may escalate the risk of ADEs (adverse drug events). The present study aimed at assessing the current drug practice and ADEs in COPD management in ICU. Material and Methods: A prospective, single centered, observational and open labeled study was carried out in Department of Pulmonary Medicine and Pharmacology, Tertiary Care Teaching Hospital. The patient population was broadly divided into four categories based on diagnosis ‑ chronic obstructive pulmonary disease, Infections, Asthma and Others. Suspected ADRs were reported, analyzed, and causality assessment was carried out using Naranjo’s algorithm scal0065. Results: In our study, most important causative drug was Budesonide (11.1%). Causality assessment of ADR by Naranjo’s algorithm showed 11.9% probable and 88.1% possible reactions. According to WHO-UMC scale, 85.9% reactions are possible, 11.1% are probable, and 3% are unlikely. Among the 270 ADR reported, the most common ADR was oral thrush which accounted for 11.1% (n = 30) of the reported cases, followed by palpitation 11.1% (n = 30), sore throat 20 (7.4%), dizziness 17 (6.3%) cases, and headache 20 (7.4%) of reported ADR cases. Conclusion: Many research have been conducted separately on various respiratory diseases such as COPD, tuberculosis, asthma, respiratory tract infections (upper/lower), and so on. However, this study included some of the most common diseases in this field, such as COPD, tuberculosis, and respiratory tract infections. A routine patient follow-up is needed for the early detection and prevention of ADRs in order to improve patient adherence to drug therapy and provide improved drug therapy by avoiding associated morbidity and mortality.