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. 2020 Oct 28;15(10):e0240104.
doi: 10.1371/journal.pone.0240104. eCollection 2020.

Potentially inappropriate medications for the elderly: Incidence and impact on mortality in a cohort ten-year follow-up

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Potentially inappropriate medications for the elderly: Incidence and impact on mortality in a cohort ten-year follow-up

Natacha Christina de Araújo et al. PLoS One. .

Abstract

Introduction: Pharmacological therapy plays an important role in disease control in the elderly; unfortunately, this comes with a high prevalence in the use of medications classified as potentially inappropriate.

Objective: To analyze the incidence, risk factors, and survival of elderly people using potentially inappropriate medications (PIM).

Method: A ten-year follow-up assessment of elderly participants residing in a capital of Central Brazil was conducted. The initial assessment (baseline) included 418 elderly people. Data were collected through home interviews guided by a questionnaire covering socioeconomic, demographic, living conditions, and health variables. The medication information obtained comprised active ingredient, dosage, route, and regimen for the medications. The PIMs were classified according to 2019 Beers Criteria. The analyses were performed using STATA 15.0. For survival analysis, a Cox Regression was performed with the respective Kaplan Meier curve.

Results: The incidence of PIM was 44.1 cases (95% CI: 35.2-54.7) per 1,000 people a year. The most used PIMs were nifedipine, glibenclamide, and sodium diclofenac. The risk factors were polypharmacy (aRR: 3.00; 95% CI: 1.31-6.88) and diabetes mellitus (aRR: 1.57; 95% CI: 1.03-2.39). We identified no statistically significant association between survival and the use of PIM.

Conclusion: The study highlights the high consumption of PIM among the elderly causing polypharmacy risks. Health professionals working in drug treatment need to be alert to polypharmacy risks to ensure the rational use of medications to prevent adverse reactions and other health problems.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Probability of survival of the elderly according to statistically significant variables in the Cox proportional multiple regression analysis.

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