Survival, incidence, and predictors of diabetic neuropathy among type 2 diabetic patients in hospitals of Addis Ababa.

Frontiers in clinical diabetes and healthcare Pub Date : 2024-05-02 eCollection Date: 2024-01-01 DOI:10.3389/fcdhc.2024.1386426
Eden Tilahun, Abdata Workina, Asaminew Habtamu, Hailu Tufa, Fikadu Abebe, Ayele Fikadu, Fulea Atomsa
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Abstract

Background: Diabetic neuropathy is a very common complication of diabetes mellitus. Thus, measuring the incidence of diabetic neuropathy is a key element in tracking the progress of epidemics of diabetes mellitus and an indication of early accessibility for healthcare in terms of type 2 diabetic patients.

Objective: To assess survival, incidence, and predictors of diabetic neuropathy among type 2 diabetic patients in hospitals of Addis Ababa from June 25 to August 25, 2023.

Methods: An institutional-based retrospective follow-up study design was used among newly diagnosed type 2 diabetic patients at hospitals of Addis Ababa. A chart review tool that contains socio-demographic, clinical, and comorbidity characteristics, biochemical characteristics, and the status of type 2 patients was used. A cleaned data was exported from Epi-data manager 4.6 version to SPSS version 25 for analysis. Bivariate Cox regression analysis was done to identify predictors of diabetic neuropathy at a 95% confidence level.

Result: A total of 414 type 2 diabetic patients were included in the study. Of these, 97 (23.4%) developed diabetic neuropathy. Variables like having hypertension (AHR 11.25, 95% CI 3.73-33.93), anemia (AHR 4.18, 95% CI 1.78-9.82), high-density lipoprotein < 40 mg/dl (AHR 5.07, 95% CI 1.38-18.67), high creatinine level (AHR 14.67, 95% CI 4.27-50.40), diabetic retinopathy (AHR 4.32, 95% CI 1.32-14.18), and diabetic nephropathy (AHR 2.50, 95% CI 1.09-6.57) were associated with the incidence of diabetic neuropathy. The mean time to develop diabetic neuropathy was 4.94 years, CI (4.50-5.38), and the mean survival time was 6.61 years.

Conclusion: The incidence of diabetic neuropathy was high relative to other studies. Variables like having hypertension, anemia, high-density lipoprotein, high creatinine level, diabetic retinopathy, and diabetic nephropathy were predictors of diabetic neuropathy. The mean time to develop diabetic neuropathy was 5 years, with a survival mean time of 7 years.

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亚的斯亚贝巴医院 2 型糖尿病患者糖尿病神经病变的存活率、发病率和预测因素。
背景:糖尿病神经病变是一种非常常见的糖尿病并发症。因此,测量糖尿病神经病变的发病率是跟踪糖尿病流行进展的关键因素,也是 2 型糖尿病患者早期获得医疗服务的标志:评估 2023 年 6 月 25 日至 8 月 25 日亚的斯亚贝巴各医院 2 型糖尿病患者的存活率、发病率和糖尿病神经病变的预测因素:方法: 对亚的斯亚贝巴各医院新确诊的 2 型糖尿病患者进行了基于机构的回顾性随访研究。研究使用了一种病历审查工具,其中包含社会人口学特征、临床和合并症特征、生化特征以及 2 型糖尿病患者的状况。经过清理的数据从 Epi-data manager 4.6 版导出到 SPSS 25 版进行分析。在 95% 的置信水平下,进行了双变量 Cox 回归分析,以确定糖尿病神经病变的预测因素:研究共纳入了 414 名 2 型糖尿病患者。结果:研究共纳入 414 名 2 型糖尿病患者,其中 97 人(23.4%)发生了糖尿病神经病变。高血压(AHR 11.25,95% CI 3.73-33.93)、贫血(AHR 4.18,95% CI 1.78-9.82)、高密度脂蛋白<40 mg/dl(AHR 5.07,95% CI 1.38-18.67)、高肌酐水平(AHR 14.67,95% CI 4.27-50.40)、糖尿病视网膜病变(AHR 4.32,95% CI 1.32-14.18)和糖尿病肾病(AHR 2.50,95% CI 1.09-6.57)与糖尿病神经病变的发生率相关。糖尿病神经病变的平均发病时间为 4.94 年,CI 为(4.50-5.38),平均存活时间为 6.61 年:结论:与其他研究相比,糖尿病神经病变的发病率较高。高血压、贫血、高密度脂蛋白、高肌酐水平、糖尿病视网膜病变和糖尿病肾病等变量是糖尿病神经病变的预测因素。糖尿病神经病变的平均发病时间为 5 年,平均存活时间为 7 年。
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