Evidence map›Paper›PMID 38756386›Full record

ArticleFrontiers in clinical diabetes and healthcare2024

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

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Article in Frontiers in clinical diabetes and healthcare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4 citing papers in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Eden TilahunNational Public Emergency Contact Center, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Abdata WorkinaSchool of Nursing, Jimma University, Jimma, Oromia, Ethiopia.
Asaminew HabtamuSchool of Nursing, Jimma University, Jimma, Oromia, Ethiopia.
Hailu TufaNational Public Emergency Contact Center, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Fikadu AbebeSchool of Midwifery, Jimma University, Jimma, Oromia, Ethiopia.
Ayele FikaduDepartment of Emergency and Critical Care, Saint Paul Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Fulea AtomsaIndependent Researcher, Beke, Oromia, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

diabetes mellitusdiabetic complicationinsulinneuropathytype 2 diabetes

Identifiers

PMID38756386
PMCPMC11096570

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