Evidence map›Paper›PMID 41272725›Full record

ArticleCardiovascular diabetology. Endocrinology reports2025

Advanced age and elevated cholesterol predict diabetic neuropathy in patients with type II diabetes mellitus in Southern Ethiopia.

Fasika Merid, Habtamu Esubalew, Tamirat Gezahegn Guyo, Firdawek Getahun

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Article in Cardiovascular diabetology. Endocrinology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 authors.

Fasika MeridDepartment of Public Health, Arba Minch College of Health Science, Arba Minch, Ethiopia. meridf2005@gmail.com.
Habtamu EsubalewDepartment of Public Health, College of Medicine and Health Science, Arba Minch University, Arba Minch, Ethiopia.
Tamirat Gezahegn GuyoRegional Data Management Center, South Ethiopia Public Health Institute, Jinka, Ethiopia.
Firdawek GetahunDepartment of Public Health, College of Medicine and Health Science, Arba Minch University, Arba Minch, Ethiopia.

Funding

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6 · The paper itself

Abstract

backgroundDiabetic neuropathy is the debilitating most common and expensive complication of diabetes that can cause significant mortality and morbidity, resulting from foot ulceration, lower extremity amputation, and pain that reduces the quality of life. The majority of type II diabetes mellitus patients continue to develop diabetic neuropathy despite optimal glycemic control, and the identification of predictors for diabetic neuropathy is important. Thus, this study aimed to determine the predictors of diabetic neuropathy in patients with type II diabetes mellitus in Ethiopia.

methodsA hospital-based retrospective longitudinal follow-up study was conducted from January 2012 to December 2021 in patients with type II diabetes. Simple random sampling was used to select study participants, and data were collected by reviewing the medical records. Stata version 14 was used for the statistical analysis. A bivariable and multivariable Cox regression analysis was performed to identify predictors of diabetic neuropathy. The goodness of the model fitness was checked via the Cox-Snell residual. A p-value less than 0.05 was used to declare the statistical significance of the variables.

resultsThe incidence density of diabetic neuropathy was 3.56 cases per 1,000 person months of observation, and the median time to develop diabetic neuropathy was 105 months. Advanced age (adjusted hazard ratio (AHR) 1.03 (95% CI: 1.01, 1.06)) and total cholesterol ≥ 200 mg/dl (AHR 2.52 (95% CI: 1.25, 5.09)) were statistically significant predictors of diabetic neuropathy.

conclusionAdvanced age and hypercholesterolemia were significantly associated predictors with diabetic neuropathy. Healthcare providers need to monitor cholesterol levels in order to prevent or delay diabetic neuropathy development in patients with type 2 diabetes.

Indexed as

Advanced ageDiabetic neuropathyHypercholesterolemiaMicrovascular complicationsPredictorsType 2 diabetes mellitus

Identifiers

PMID41272725
PMCPMC12639980

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