Risk factors correlated to potentially inappropriate medications in the elderly

Author:

Zhu Xiaojuan1,Zhang Feng1,Zhao Yong1,Zhang Wen1,Zhang Yahui1,Zhang Xi-yu1,Li Hui-jie1,Dong Yan1,Liu Jia1,Wang Jianchun1

Affiliation:

1. Shandong Provincial Hospital Affiliated to Shandong First Medical University

Abstract

Abstract

Backgroud The prevalence of multimorbidity ( ≥2 chronic disorders in the same individual), polypharmacy ( ≥5 medications in the same individual) and potentially inappropriate medications (PIMs) in elderly patients was very high. Methods This is a cross-sectional analysis of 276 elderly patients aged ≥65 years old. PIMs was analyzed based on the Beers criteria (2019 edition) and Chinese criteria, patients were divided into non-PIMs, 1PIMs and ≥2 PIMs group based on both critieria. Logistic regression analysis wasconducted to investigate factors related to PIMs. Results The prevalence of multimorbidity was as high as 96.74% (n=267). 91.30% of patients (n=252) had polypharmacy. Determined by Beers and Chinese criteria, 40.22% (n=111) and 41.30% (n=114) of patients had 1 PIMs, 26.09% (n=72) and 13.77% (n=38) of patients had 2 or more PIMs. Based on Beers criteria, patients with PIMs had more prescribed medications compared to patients with non-PIMs (median [inter-quartile range, IQR]: 10[7–12] vs.7[5-9]), patients with 2 or more PIMs had significant more prescribed medications compared to patients with 1 PIMs (11[9.25-13] vs 8[7-11]); Similar results was found based on Chinese criteria. Further logistic regression analysis showed that the strongest predictor of PIMs was increased number of prescribed medications as determined by both Beers and Chinese criteria (P<0.001). Gender, number of diseases or age was not risk factor correlated to PIMs in our study. Conclusion PIMs in the elderly was very common, increased number of prescribed medications was the strongest predictor of PIMs.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3