Etana Tola Diriba, Bayissa Zenebu Begna, Desissa Tamene Abera, Solbana Lencho Kajela, Tesfaye Azeb Haile, Eba Bikila Fufa
Department of Midwifery, College of Health Science, Assosa University, Assosa, Ethiopia.
Department of Public Health, College of Health Science and Medicine, Ambo University, Ambo, Ethiopia.
SAGE Open Med. 2024 Jan 11;12:20503121231218890. doi: 10.1177/20503121231218890. eCollection 2024.
Diabetic nephropathy is defined as patients with diabetes mellitus who have persistent proteinuria for at least three consecutive measurements per year, a high blood creatinine level (>130 mol/l), or a decrease in glomerular filtration rate (<60 ml/min). Limited studies were done in Ethiopia on determinants of diabetic nephropathy among diabetic patients. Therefore, this study aimed to identify determinants of nephropathy among adult diabetic patients on follow-up at public hospitals in Addis Ababa, Ethiopia, 2022.
A hospital-based unmatched case-control study design was conducted from 6 September to 9 November 2022, among diabetic patients on follow-up at public health hospitals in Addis Ababa. Using consecutive sampling techniques, a total of 442 (353 controls and 89 cases) were recruited, with a control-to-case ratio of 4:1. The data were collected using a structured and interview-administered questionnaire and variables like high-density lipoprotein, low-density lipoprotein, Glycated hemoglobin, and type of diabetes were extracted from the medical records of the patients using a checklist. The collected data were entered into Epidata 3.1 and analyzed by STATA version 15.0. Variables with a -value < 0.25 in the bivariable logistic regression were selected for the final model. In multivariable logistic regression model fitting, variables with a -value < 0.05 with 95% CI adjusted odds ratio have declared statistically significant risk factors of diabetic nephropathy.
In this study, out of 442 study participants, 334 controls and 89 cases were included in the analysis, with a response rate of 94.6% and 100%, respectively. The majority of the study participants were 92.13% of cases and 84.13% of controls; 7.87% of cases, and 15.87% of controls were type 2 diabetes mellitus. Age 65 and above years old (AOR: 2.42; 95% CI: 1.28, 4.57); Smoking cigarette (AOR: 2.22; 95% CI: 1.18, 4.16); Non-adherent to diet (AOR: 2.11; 95% CI: 1.15, 3.84); Drinking alcohols (AOR: 1.95; 95% CI: 1.07, 3.52); Duration with diabetes more than 10 years (AOR: 3.39; 95% CI: 1.76, 6.54); Poor glycemic control (AOR: 2.19; 95% CI: 1.23, 4.28); and Low-density lipoprotein (AOR: 2.97; 95% CI: 1.69, 5.28) were found to be statistically significant risk factors of nephropathy among diabetic patients.
This study found that old age, smoking cigarettes, non-adherence to diet, duration of diabetes, alcohol drinking, Glycated hemoglobin A1C, and high low-density lipoprotein were risk factors for nephropathy. Hence, continuous health education on lifestyle modifications and diabetic-related complications in each follow-up visit via front-line health professionals are very essential to avert the problem.
糖尿病肾病定义为每年至少连续三次测量出现持续性蛋白尿、血肌酐水平高(>130μmol/l)或肾小球滤过率降低(<60ml/min)的糖尿病患者。埃塞俄比亚针对糖尿病患者中糖尿病肾病的决定因素开展的研究有限。因此,本研究旨在确定2022年埃塞俄比亚亚的斯亚贝巴公立医院接受随访的成年糖尿病患者中肾病的决定因素。
2022年9月6日至11月9日,在亚的斯亚贝巴的公立医院对接受随访的糖尿病患者进行了一项基于医院的非匹配病例对照研究设计。采用连续抽样技术,共招募了442名(353名对照和89例病例),对照与病例之比为4:1。数据通过结构化访谈问卷收集,使用清单从患者的病历中提取高密度脂蛋白、低密度脂蛋白、糖化血红蛋白和糖尿病类型等变量。收集的数据录入Epidata 3.1,并使用STATA 15.0进行分析。在双变量逻辑回归中P值<0.25的变量被选入最终模型。在多变量逻辑回归模型拟合中,P值<0.05且95%CI调整比值比的变量被判定为糖尿病肾病具有统计学意义的危险因素。
本研究中,442名研究参与者中,334名对照和89例病例纳入分析,应答率分别为94.6%和100%。大多数研究参与者中,病例组占92.13%,对照组占84.13%;病例组中7.87%,对照组中15.87%为2型糖尿病。65岁及以上年龄(调整比值比:2.42;95%CI:1.28,4.57);吸烟(调整比值比:2.22;95%CI:1.18,4.16);不坚持饮食(调整比值比:2.11;95%CI:1.15,3.84);饮酒(调整比值比:1.95;95%CI:1.07,3.52);糖尿病病程超过10年(调整比值比:3.39;95%CI:1.76,6.54);血糖控制不佳(调整比值比:2.19;95%CI:1.23,4.28);以及低密度脂蛋白(调整比值比:2.97;95%CI:1.69,5.28)被发现是糖尿病患者中肾病具有统计学意义的危险因素。
本研究发现老年、吸烟、不坚持饮食、糖尿病病程、饮酒、糖化血红蛋白A1C和高低密度脂蛋白是肾病的危险因素。因此,通过一线卫生专业人员在每次随访中对生活方式改变和糖尿病相关并发症进行持续健康教育对于避免该问题非常重要。