Time to diabetic neuropathy and its predictors among adult type 2 diabetes mellitus patients in Amhara regional state Comprehensive Specialized Hospitals, Northwest Ethiopia, 2022: A retrospective follow up study

Tantigegn, Sharie; Alle, Atsede; Agazhe, Moges; Aschale, Abiot; Gebrie, Muluye; Gedefaw, Getnet; Endalew, Bekalu

doi:10.1371/journal.pone.0284568

Cited by 10 publications

(3 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another study is also consistent with this study finding, which showed that co-morbidities such as diabetic nephropathy and retinopathy are independently associated with diabetic neuropathy (p<0.05) ( 27 ). Additionally, this study finding was consistent with a retrospective follow-up study conducted in the Debra Markos specialized hospital that elucidated that being aged > 60 years (AHR 2.93; 95% CI: 1.29–6.66), having diabetic retinopathy (AHR 2.76; 95% CI: 1.84–4.16), having anemia (AHR 3.62; 95% CI: 2.46–5.33), and having hypertension (AHR 3.22; 95% CI: 2.10–4.93) were the predictors of diabetic neuropathy ( 5 ). This showed that preventing these preventable factors can reduce the occurrence of diabetic neuropathy among type 2 diabetic patients.…”

Section: Discussionmentioning

confidence: 99%

“…For the data collection, an English version checklist was developed from up-to-date similar literatures that contains socio-demographic characteristics, clinical and comorbidity characteristics, biochemical characteristics of type 2 DM patients, and outcomes of type 2 diabetes mellitus patients ( 5 , 13 , 14 , 22 , 25 ). During data collection, the diagnosis of diabetic neuropathy was considered after ruling out other potential explanations, the physicians contemplate the existence of symptoms and sign of peripheral nerve damage and abnormality of nerve conduction velocity confirmed using electromyography.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

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

Tilahun,

Workina,

Habtamu

et al. 2024

Front. Clin. Diabetes Healthc.

View full text Add to dashboard Cite

BackgroundDiabetic 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.ObjectiveTo 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.MethodsAn 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.ResultA 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.ConclusionThe 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.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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

Tilahun,

Workina,

Habtamu

et al. 2024

Front. Clin. Diabetes Healthc.

View full text Add to dashboard Cite

show abstract

“…Additionally, factors such as medication adherence, dosage, and duration of treatment may also play a role in determining the likelihood of neuropathy development. Further investigation into the specific impact of different treatment types on neuropathy incidence is warranted to better understand their clinical implications and inform treatment strategies for diabetic patients [17].…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Factors Affecting Neuropathy in Patients With Type 2 Diabetes Using Artificial Neural Networks

Abolghasemi,

Rimaz,

Kargarian-Marvasti

2024

Cureus

View full text Add to dashboard Cite

Introduction: Neuropathy is a common and debilitating complication in type 2 diabetes, affecting quality of life and increasing healthcare costs. Identifying risk factors is essential for early intervention and management. This study aims to evaluate the factors influencing the occurrence of neuropathy in patients with type 2 diabetes using artificial neural networks.Methods: In this cohort study, data from 371 patients with type 2 diabetes from Fereydunshahr, Iran, were analyzed over a 12-year follow-up period. Participants were selected based on diabetes screenings conducted in 2008 and 2009. Artificial neural networks with varying architectures were trained and validated, and their performance was compared to logistic regression models using receiver operating characteristic (ROC) curve analysis.Results: The prevalence of neuropathy in this cohort study was 31.2%. The best-fitted artificial neural network and logistic regression model had area under the curve (AUC) values of 0.903 and 0.803, respectively. Significant risk factors identified included gender, race, family history of diabetes, type of diabetes treatment, cholesterol levels, triglyceride levels, high-density lipoprotein (HDL) levels, and duration of diabetes. Notably, women, patients with a family history of diabetes, and those using injectable or combined injectable and oral medications were at higher risk of developing neuropathy.Conclusion: These findings highlight the importance of vigilant monitoring and proactive management of neuropathy risk factors, especially in women, patients with a family history of diabetes, and those using injectable or combined diabetic medications.

show abstract

Diabetic peripheral neuropathy among adult type 2 diabetes patients in Adama, Ethiopia: health facility-based study

Mekuria Negussie,

Tilahun Bekele

2024

Sci Rep

View full text Add to dashboard Cite

Diabetic peripheral neuropathy is the most prominent microvascular complication of diabetes mellitus and the leading cause of ulceration, amputation, and extended hospitalization. Evidence regarding the magnitude and factors associated with diabetic peripheral neuropathy is not well documented in Ethiopia, particularly in the study area. A facility-based cross-sectional study was conducted among 293 adult type 2 diabetic patients who were on treatment and follow-up from May to June 31, 2023. To select participants in the study, a systematic random sampling method was utilized. Data were collected using semi-structured questionnaires and medical record reviews. The Michigan Neuropathy Screening Instrument (MNSI) was employed to assess diabetic peripheral neuropathy. To model the association between diabetic peripheral neuropathy and independent variables, binary logistic regression model was used. An adjusted odds ratio with a 95% confidence interval was used to estimate the association and statistical significance was proclaimed at a p-value < 0.05. The magnitude of diabetic peripheral neuropathy was 14.3% (95% CI 10.4–18.0). It was 13.4% (95% CI 8.4–19.1) among males and 15.4% (95% CI 10.1–22.2) among females. Age above 60 years (AOR = 5.06, 95% CI 1.60–15.96), being rural resident (AOR = 2.41; 95% CI 1.15–5.06), duration of diabetes above 5 years (AOR = 2.48, 95% CI 1.16–5.27) and having comorbid hypertension (AOR = 2.56, 95% CI 1.24–5.28) were independently associated with diabetic peripheral neuropathy. One in seven adult type 2 diabetes patients in the study area had diabetic peripheral neuropathy. Factors such as age, place of residence, duration of diabetes, and comorbid hypertension showed positive associations with diabetic peripheral neuropathy. Thus, it is imperative to give special consideration to diabetic patients who are elderly, living in rural areas, experiencing a prolonged duration of diabetes, or dealing with comorbid hypertension.

show abstract

Time to diabetic neuropathy and its predictors among adult type 2 diabetes mellitus patients in Amhara regional state Comprehensive Specialized Hospitals, Northwest Ethiopia, 2022: A retrospective follow up study

Cited by 10 publications

References 46 publications

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

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

Evaluation of Factors Affecting Neuropathy in Patients With Type 2 Diabetes Using Artificial Neural Networks

Diabetic peripheral neuropathy among adult type 2 diabetes patients in Adama, Ethiopia: health facility-based study

Contact Info

Product

Resources

About