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Background: In countries like India and other developing nations, the elderly population is rapidly increasing, leading to concerns about inappropriate prescribing and the use of Potentially Inappropriate Medications (PIMs). This can result in adverse effects and worsen health conditions. With diabetes cases rising significantly in India, personalized treatment plans tailored to each individual's medical history are crucial.
Methods: For our study, we conducted a prospective observational study at a tertiary care hospital in the general medicine department. We selected 183 patients based on specific criteria, collecting demographics, laboratory details, comorbidities, and pharmacological therapy data.
Results: Among the patients, 51% experienced polypharmacy, and 30% experienced hyper polypharmacy. The most commonly used oral hypoglycaemic agents were Metformin, Glimepiride, and Vildagliptin. Long-acting Insulin glargine was the predominant insulin prescribed. The top Potentially Inappropriate Medications (PIMs) included Glimepiride, proton pump inhibitors (PPIs), Amitriptyline, and Prazosin.
Diuretics, Aspirin, and Amitriptyline were among the major drugs used without caution. Our findings suggest the need for consensus on a tool for detecting PIM use in hospitalized elderly Indian patients. Hypertension, dyslipidaemia, bone disorders, and cardiovascular diseases were prevalent among geriatric diabetic patients. Metformin was the most commonly prescribed medication, with newer oral hypoglycaemic agents less frequently used. Dual or triple therapy was commonly prescribed, while insulin use was less frequent due to daily usage challenges.
Conclusions: Our study supports the use of the Beers criteria as a medication review tool to improve elderly care and also emphasises the importance of personalized treatment strategies in managing diabetes in this population.
"Assessment of potentially inappropriate medication use and polypharmacy in geriatric diabetic patients", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 7, page no.167 - 174, July-2024, Available :http://www.ijrti.org/papers/IJRTI2407017.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator