Influence of medications on fall risk assessment in maintenance hemodialysis patients: A cross-sectional study

Author:

Ismail Raghad M.1,Thomas Dixon1,Jagdale Rajaram23

Affiliation:

1. Department of Pharmacy Practice, College of Pharmacy, Gulf Medical University, Ajman, United Arab Emirates

2. Department of Nephrology, College of Medicine, Gulf Medical University, Ajman, United Arab Emirates

3. Department of Nephrology, Thumbay University Hospital, Ajman, United Arab Emirates

Abstract

ABSTRACT Background: Multiple factors influence the fall risk in end-stage kidney disease. This study aims to investigate how medication factors influence the interpretation of fall risk due to age, gender, and years of dialysis treatment among patients undergoing hemodialysis (HD). Methods: A cross-sectional study was carried out in 2023 using the Johns Hopkins Fall Risk Assessment tool. Participants were recruited from the HD unit at a tertiary care academic medical center in Ajman, UAE. Data were analyzed between different ages, genders, and years on HD categories with or without medication factors. Results: Data were collected and analyzed for 44 patients. The fall risk of the study population assessed with the Kruskal–Wallis test showed no difference between different age groups (P = 0.43) but did show a significant difference when the score of medication factor was removed from the fall risk estimation (P = 0.002). A pairwise analysis showed fall risk score of the age group 46–60 years was differing from the age cohort >60 (P < 0.001). A positive moderate correlation (Spearman’s correlation coefficient 0.514 was found, with a P < 0.001) was seen with an increase in age and fall risk only when the medication factor was removed from the fall risk estimation. Results on gender or duration of dialysis were insignificant. Conclusion: Medication factors being a significant contributor to fall risk among the study population was found to mask the fall risk difference between age groups 46–60 years and >60 years. Such influence was not found for gender or duration of dialysis.

Publisher

Medknow

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