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

Eden Tilahun, Abdata Workina, Asaminew Habtamu, Hailu Tufa, Fikadu Abebe, Ayele Fikadu, Fulea Atomsa
{"title":"Survival, incidence, and predictors of diabetic neuropathy among type 2 diabetic patients in hospitals of Addis Ababa","authors":"Eden Tilahun, Abdata Workina, Asaminew Habtamu, Hailu Tufa, Fikadu Abebe, Ayele Fikadu, Fulea Atomsa","doi":"10.3389/fcdhc.2024.1386426","DOIUrl":null,"url":null,"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.","PeriodicalId":73075,"journal":{"name":"Frontiers in clinical diabetes and healthcare","volume":"41 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in clinical diabetes and healthcare","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fcdhc.2024.1386426","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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 糖尿病神经病变是糖尿病的一种非常常见的并发症。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。目标 评估 2023 年 6 月 25 日至 8 月 25 日亚的斯亚贝巴医院 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 型糖尿病患者采用基于机构的回顾性随访研究设计。使用的病历审查工具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。结果 本研究共纳入 414 名 2 型糖尿病患者。其中 97 人(23.4%)出现了糖尿病神经病变。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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
1.00
自引率
0.00%
发文量
0
期刊最新文献
Utilization of basic diabetes mellitus services among adult patients with diabetes mellitus at Mbarara Regional Referral Hospital diabetes clinic, Uganda: a cross-sectional study. Optimizing glycemic control in type 2 diabetes: the impact of the GLIDE program's personalized digital health intervention. Metabolic syndrome among type 2 Diabetes Mellitus patients in Ethiopia: a systematic review and meta-analysis. Novel antidiabetic therapies in patients with peripheral artery disease: current perspective. Editorial: Gestational diabetes: where are we and where are we going?
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1