埃塞俄比亚中部安博大学转诊医院随访的成人糖尿病肾病患者的负担和预测因素

Qeios Pub Date : 2024-04-23 DOI:10.32388/2vcc0d
D. Hirpa, Bilisuma Girma
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摘要

背景:尽管有越来越多的证据表明撒哈拉以南非洲的成年长期糖尿病患者患有糖尿病肾病,但有关非洲成年糖尿病患者糖尿病肾病的负担和相关因素的数据却十分有限。因此,我们开展了这项研究,以确定医院中成年糖尿病患者的糖尿病肾病负担和预测因素。方法:2023 年 6 月至 8 月,我们开展了一项基于医院的横断面研究,并采用系统随机抽样方法招募参与者。共观察了 4,300 名糖尿病患者。访问员使用结构化问卷向研究对象收集数据。数据录入和分析采用 Epi Data 3.1.1 版和 SPSS 25 版。在进行描述性统计后,进行了多变量逻辑回归分析。结果:在 369 名参与者(95%;CI 23.37-26.43)中,有 24.9% 的人患有糖尿病肾病(DN)。男性[AOR = 2.215; 95% CI: 1.34, 3.45, P = 0.002]、不运动[AOR = 1.983; 95% CI: 1.05, 3.70), P = 0.034]、血脂异常[AOR: 1.98, CI: 1.009, 3.5), P = 0.024]和血糖控制不良[AOR= 2.70; 1.40, 5.2), P = 0.003]是糖尿病肾病发生的重要决定因素。结论:在糖尿病肾病患者中,性别、缺乏运动、血脂异常和血糖控制不良是糖尿病肾病的预测因素。通过加强健康信息、教育和宣传计划,糖尿病管理部门应更好地实现血糖控制和预防糖尿病肾病。男性、久坐不动的生活方式、血脂异常和血糖控制不佳的患者需要得到更多关注。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Burden and Predictors of Diabetic Nephropathy in an Adult With Diabetes Mellitus Patients on Follow up at Ambo University Referral Hospital Central Ethiopia
BACKGROUND: Despite the growing evidence of Diabetic Nephropathy in adult patients with long-standing diabetes in sub-Saharan Africa, data on its burden and correlates in adult African patients with diabetes are limited. We, therefore, undertook this study to determine the burden and predictors of Diabetic Nephropathy n an adult population with diabetes in Hospital. OBJECTIVE: We, therefore, undertook this study to determine the burden and predictors of Diabetic Nephropathy n an adult population with diabetes in Hospital. METHODS: A Hospital-based cross-sectional study was conducted from June to August, 2023 and a systematic random sampling method used to recruit participants. A total of 4,300 diabetics are under observation. The interviewer used structured questionnaires to gather data from the study subjects. For data entry and analysis, Epi Data version 3.1.1 and SPSS version 25 were used. Multivariable logistic regression analysis was done after descriptive statistics. 95% confidence intervals (CI) and crude and adjusted odds ratios were presented. RESULTS: Diabetic Nephropathy (DN) was documented in population was 24.9% from the 369 participants (95%; CI 23.37– 26.43) participants among the study). Male sex [AOR = 2.215; 95% CI: 1.34, 3.45, p = 0.002], physically inactive [AOR = 1.983; 95% CI: 1.05, 3.70), P = 0.034], dyslipidaemia [AOR: 1.98, CI: 1.009, 3.5), P = 0.024] and poor controlled glycemia [AOR= 2.70; 1.40, 5.2), P = 0.003] were significant determinants for the development of Diabetic Nephropathy. Therefore, it is advised that healthcare professionals pay close attention to patients who have recognized related factors during follow-up in order to reduce the likelihood of DN. CONCLUSION: Among DM patients, sex, physical inactivity, dyslipidaemia, and poor glycemic control were discovered to be the predictors of diabetic nephropathy. By enhancing programs for health information, education, and promotion, diabetes management should be better equipped to achieve glycaemic control and prevent diabetic nephropathy. Male sex, sedentary lifestyles, dyslipidemia, and patients with poor glycemic control need to receive more attention.
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