Glycemic Control, Diabetes Complications and Their Determinants Among Ambulatory Diabetes Mellitus Patients in Southwest Ethiopia: A Prospective Cross-Sectional Study

Assessment of Potentially Inappropriate Prescribing for People With Type 2 Diabetes Mellitus Using IMPACT2DM, a New Explicit Tool

Background: People with type 2 diabetes mellitus (T2DM) are at greater risk of potentially inappropriate prescribing (PIP) due to multiple comorbidities and polypharmacy. IMPACT2DM (Inappropriate Medication Prescribing Assessment Criteria for Type 2 Diabetes Mellitus) is a tool designed to identify PIP for adults with T2DM. Objectives: To assess PIP for adults with T2DM in Ethiopia using the IMPACT2DM and to test the face validity and clinical validity of the tool. Methods: A cross-sectional study was undertaken using data extracted retrospectively from the medical records of adults being managed for T2DM at Debretabore Hospital. PIP was assessed using IMPACT2DM. Some items/item components of IMPACT2DM were modified to increase the tool's applicability for the outpatient setting, to clarify content or to use the terms most common in this particular setting. Multivariant logistic regression analyses were conducted to identify factors associated with PIP. Results: More than 90% of medical records had at least 1 PIP. Prescribing omission (80.9%) was the most commonly identified type of PIP. Adults with prescribing omissions are more likely to be ≥40 years old or to be prescribed with <5 medications. Adults with dosing problems were more likely ≥50 years old, or have had a fasting blood sugar (FBS) level out of the target range (80-130 mg/dL). Conclusions: IMPACT2DM is a clinically valid PIP identification tool for application in an Ethiopian outpatient setting. Health professionals should be alert to check for potential prescribing omissions for adults ≥40 years old and dosing problems for adults with an FBS level out of the target range or >50 years.

Visual impairment among diabetes patients in Ethiopia: A systematic review and meta-analysis

INTRODUCTION

The increased prevalence of visual impairment among diabetes patients has become a major global public health problem. Although numerous primary studies have been conducted to determine the prevalence of visual impairment and its associated factors among diabetes patients in Ethiopia, these studies presented inconsistent findings. Therefore, this review aimed to determine the pooled prevalence of visual impairment and identify associated factors among diabetes patients.

METHODS

An extensive search of literature was done on PubMed, Google Scholar, and Web of Sciences databases. A manual search of the reference lists of included studies was performed. A weighted inverse-variance random-effects model was used to calculate the pooled prevalence of visual impairment.

RESULTS

A total of 34 eligible primary studies with a sample size of 11,884 participants were included in the final meta-analysis. The pooled prevalence of visual impairment was 21.73% (95% CI: 18.15, 25.30; I2 = 96.47%; P<0.001). Diabetes mellitus with a duration of diagnosis ≥10 years [AOR = 3.18, 95% CI: 1.85, 5.49], presence of co-morbid hypertension [AOR = 3.26, 95% CI: 1.93, 5.50], poor glycemic control [AOR = 4.30, 95% CI: 3.04, 6.06], age ≥56 years [AOR = 4.13, 95% CI: 2.27, 7.52], family history of diabetes mellitus [AOR = 4.18 (95% CI: 2.61, 6.69], obesity [AOR = 4.77, 95% CI: 3.00, 7.59], poor physical activity [AOR = 2.46, 95% CI: 1.75, 3.46], presence of visual symptoms [AOR = 4.28, 95% CI: 2.73, 6.69] and no history of eye exam [AOR = 2.30, 95% CI: 1.47, 3.57] were significantly associated with visual impairment.

CONCLUSIONS

The pooled prevalence of visual impairment was high in Ethiopia. Diabetes mellitus with a duration of diagnosis ≥10 years, presence of co-morbid hypertension, poor glycemic control, age ≥56 years, and family history of diabetes mellitus, obesity, poor physical activity, presence of visual symptoms, and no history of eye exam were independent predictors. Therefore, diabetic patients with these identified risks should be screened, and managed early to reduce the occurrence of visual impairment related to diabetes. Moreover, public health policy with educational programs and regular promotion of sight screening for all diabetes patients are needed.

Risk factors for peripheral artery disease and diabetic peripheral neuropathy among patients with type 2 diabetes

AIMS

To investigate the prevalence of peripheral artery disease (PAD) and diabetic peripheral neuropathy (DPN) and the associated risk factors among Chinese patients with type 2 diabetes mellitus.

METHODS

A cross-sectional study was conducted using data between November 1, 2018, and December 31, 2022. PAD was defined as ABI ≤ 0.9. DPN diagnosis involved specialized physician assessments using questionnaires and vibration perception threshold tests. Logistic regression analysis was used to identify related factors. We also evaluated the association between the clustering of risk factors and disease incidence.

RESULTS

The study population comprised 13,315 patients (mean age: 63.3 years). 4.9 % of the patients had PAD and 43.9 % had DPN. Multivariate regression analysis revealed advanced age, smoking, hypertension, coronary heart disease, dyslipidemia, elevated HbA1c, and uric acid levels as independent risk factors for PAD. For DPN, independent risk factors included advanced age, female gender, hypertension, coronary heart disease, elevated total cholesterol, triglycerides, lipoprotein(a), fasting plasma glucose, HbA1c, alkaline phosphatase, cystatin C, albumin-to-creatinine ratio, and elevated homocysteine levels, whereas apolipoprotein A was a protective factor. The clustering of risk factors was prevalent and associated with higher disease risk.

CONCLUSIONS

Our study contributed to identifying high-risk individuals and improving lower limb health among diabetic individuals.

Development and validation of risk prediction model for diabetic neuropathy among diabetes mellitus patients at selected referral hospitals, in Amhara regional state Northwest Ethiopia, 2005-2021

BACKGROUND

Diabetic neuropathy is the most common complication in both Type-1 and Type-2 DM patients with more than one half of all patients developing nerve dysfunction in their lifetime. Although, risk prediction model was developed for diabetic neuropathy in developed countries, It is not applicable in clinical practice, due to poor data, methodological problems, inappropriately analyzed and reported. To date, no risk prediction model developed for diabetic neuropathy among DM in Ethiopia, Therefore, this study aimed prediction the risk of diabetic neuropathy among DM patients, used for guiding in clinical decision making for clinicians.

OBJECTIVE

Development and validation of risk prediction model for diabetic neuropathy among diabetes mellitus patients at selected referral hospitals, in Amhara regional state Northwest Ethiopia, 2005-2021.

METHODS

A retrospective follow up study was conducted with a total of 808 DM patients were enrolled from January 1,2005 to December 30,2021 at two selected referral hospitals in Amhara regional state. Multi-stage sampling techniques were used and the data was collected by checklist from medical records by Kobo collect and exported to STATA version-17 for analysis. Lasso method were used to select predictors and entered to multivariable logistic regression with P-value<0.05 was used for nomogram development. Model performance was assessed by AUC and calibration plot. Internal validation was done through bootstrapping method and decision curve analysis was performed to evaluate net benefit of model.

RESULTS

The incidence proportion of diabetic neuropathy among DM patients was 21.29% (95% CI; 18.59, 24.25). In multivariable logistic regression glycemic control, other comorbidities, physical activity, hypertension, alcohol drinking, type of treatment, white blood cells and red blood cells count were statistically significant. Nomogram was developed, has discriminating power AUC; 73.2% (95% CI; 69.0%, 77.3%) and calibration test (P-value = 0.45). It was internally validated by bootstrapping method with discrimination performance 71.7 (95% CI; 67.2%, 75.9%). It had less optimism coefficient (0.015). To make nomogram accessible, mobile based tool were developed. In machine learning, classification and regression tree has discriminating performance of 70.2% (95% CI; 65.8%, 74.6%). The model had high net benefit at different threshold probabilities in both nomogram and classification and regression tree.

CONCLUSION

The developed nomogram and decision tree, has good level of accuracy and well calibration, easily individualized prediction of diabetic neuropathy. Both models had added net benefit in clinical practice and to be clinically applicable mobile based tool were developed.

Prevalence of Glycemic Control and Factors Associated With Poor Glycemic Control: A Systematic Review and Meta-analysis

The primary method for preventing health and health-related problems in diabetic people is glycemic control. Numerous studies have documented the importance of glycemic control and the factors that influence it. However, the results are dispersed. This study sought to identify the prevalence of poor glycemic control and associated factors in Ethiopia. Findings will be crucial to reduce the burden of poor glycemic control. Comprehensive search was performed from databases: PubMed, Global Health, CINAHL, IRIS, and FSTA. Gray literature sources were also explored. This document was prepared based on the PRISMA flowchart. The protocol is registered in PROSPERO (ID: CRD42022296583). STATA software was used for data analyses and I2 test with Cochrane Q statistics, and forest plot were used to verify heterogeneity. When the I2 value was higher than 50% and the p-value was 0.05, heterogeneity was deemed significant. To confirm publication bias, a funnel plot with an Egger's regression test was performed. The factors related to poor glycemic control were reported using pooled odds ratios (POR) and a 95% confidence interval. In this study, 46 papers totaling 15 457 people were used to calculate the pooled estimates. It was determined that 32.6% (95% CI: 28.3, 36.9) and 61.92% (95% CI: 57.92, 65.92) of the subjects, respectively, had good and poor glycemic control. Being male protected against poor glycemic control, while poor diet adherence, lack of exercise, poor adherence to anti-diabetic medications, and smoking increased the likelihood of poor glycemic control. Lack of formal education, no family history of diabetes, lack of glucometer for blood glucose monitoring, comorbidity, being overweight and prolonged length of stay with diabetes all contributed to poor glycemic control. Ethiopia had a fairly high rate of poor glycemic control. The main determinants are lifestyle factors. Therefore, it is important to focus on behavioral interventions.

Roux-en-Y gastric bypass and laparoscopic sleeve gastrectomy effects on obesity comorbidities: A systematic review and meta-analysis

Roux-en-Y gastric bypass (LRYGB) and laparoscopic sleeve gastrectomy (LSG) are the most commonly used bariatric procedures. There is an increasing awareness about a comorbidity-based indication for bariatric surgery regardless of weight (metabolic surgery). The best operation to mitigate obesity-associated comorbidities is a matter of controversy. This review is aimed at comparing LRYGB and LSG for the treatment of diabetes, hypertension, dyslipidemias, obstructive sleep apnea (OSA), and gastroesophageal reflux (GERD). We searched PubMed, MEDLINE, SCOPUS, Web of Science, and Cochrane library for articles comparing these two commonly used bariatric approaches. We identified 2,457 studies, 1,468 of which stood after the removal of duplications; from them, 81 full texts were screened and only 16 studies were included in the final meta-analysis. LRYGB was equal weight to LSG for diabetes (P-value = 0.10, odd ratio, 1.24, 95% CI, 0.96-1.61, I ² for heterogeneity = 30%, P-value for heterogeneity, 0.14), and OSA (P-value = 0.38, odd ratio, 0.79, 95% CI, 0.47-1.33, I ² for heterogeneity = 0.0%, P-value for heterogeneity, 0.98). However, LRYGB was superior to LSG regarding hypertension (P-value = 0.009, odd ratio, 1.55, 95% CI, 1.20-2.0, I ² for heterogeneity = 0.0%, P-value for heterogeneity, 0.59), dyslipidemia (odd ratio, 2.18, 95% CI, 1.15-4.16, P-value for overall effect, 0.02), and GERD (P-value = 0.003, odd ratio, 3.16, 95% CI, 1.48-6.76). LRYGB was superior to LSG for gastroesophageal reflux, hypertension, and dyslipidemia remission. While the two procedures were equal regarding diabetes and obstructive sleep, further reviews comparing LSG, and one anastomosis gastric bypass are recommended.

Determinants of Hypertension Among Patients with Diabetes mellitus in Public Hospitals of Kembata Tambaro Zone, South Nations Nationalities and Peoples Region, Ethiopia, 2021; A Case Control Study

Introduction

Hypertension is commonly defined as a persistently raised blood pressure in which systolic blood pressure reading (SBP) is greater than or equal to 140 mmHg and diastolic blood pressure (DBP) is greater than or equal to 90 mmHg. The comorbidity of hypertension and diabetes mellitus is complex and is associated with a high risk of complications. However, there are limited studies on determinants of hypertension among patients with diabetes in Ethiopia. Therefore this study aimed to identify the determinants of hypertension among patients with diabetes mellitus in public hospitals of the Kambata Tambaro Zone, Ethiopia.

Methods and Materials

A hospital-based unmatched case-control study was conducted among a total sample of 326 patients with diabetes from June 17, 2021 to August 17, 2021. This study was conducted in five public hospitals. The data were entered into EpiData version 3.1 software and exported to and analyzed using SPSS software version 25.0. Bivariable and multivariable binary logistic regression analyses were used to determine the association between the dependent and independent variables.

Results

Of the 336 study participants, 326 diabetic patients (163 cases and 163 controls) were interviewed resulting in a response rate of 97%. Age group ≥50 years (Adjusted Odds Ratio = 7.00, 95% CI = 1.69–28.9), inactivity in physical exercise (AOR = 5.84, 95% CI = 2.47–13.81), patients who have a history of drinking alcohol (AOR = 2.61, 95% CI = 1.35–5.03) and patients who had poor knowledge on diabetes (AOR = 3.04, 95% CI = 1.69–5.47) were more likely to develop hypertension among diabetic patients.

Conclusion

This study concluded that age, inactivity in physical exercise, history of alcohol intake and poor knowledge were determinants of hypertension among diabetic patients.

Molecular Docking and Molecular Dynamics Studies of Antidiabetic Phenolic Compound Isolated from Leaf Extract of Englerophytum magalismontanum (Sond.) T.D.Penn

Englerophytum magalismontanum, a medicinal plant with ethnopharmacology use, has a dearth of information regarding its antidiabetic properties. This study evaluated the crude methanol leaf extract of E. magalismontanum and its fractions for total phenolic content, antioxidant activity, and digestive enzymes (α-amylase and α-glucosidase) inhibitory activity using standard methods. The total phenolic content (56.53 ± 1.94 mg GAE/g dry extract) and DPPH Trolox antioxidant equivalent (TAE) (1.51 ± 0.66 µg/mL) of the methanol fraction were the highest among the fractions. The IC₅₀ values of the methanol fraction against α-amylase (10.76 ± 1.33 µg/mL) and α-glucosidase (12.25 ± 1.05 µg/mL) activities were also high. Being the most active, the methanol fraction was subjected to bio-assay guided column chromatography-based enzyme inhibition to obtain a pure compound. The phenolic compound isolated and identified as naringenin inhibited α-amylase and α-glucosidase with IC₅₀ of 5.81 ± 2.14 µg/mL and 4.77 ± 2.99 µg/mL, respectively. This is the first study to isolate naringenin from E. magalismontanum extract. The molecular docking and molecular dynamics studies demonstrated naringenin as a promising lead compound in comparison to acarbose for the treatment of diabetes through the inhibition of α-glucosidase activity.

Upper-Extremity Musculoskeletal Disorders and Their Associated Factors Among Diabetes Mellitus Patients Attending at Felege Hiwot Comprehensive Specialized Hospital, Bahir Dar, Northwest Ethiopia: Cross-Sectional Study

BACKGROUND

Globally, diabetes mellitus (DM) is a major public health, causing functional disability among those affected. Among the common diabetes mellitus-related complications, musculoskeletal disorders had a significant negative impact on the social health quality of life and productivity of individuals. Evidence in this regard, however, is scarce in Ethiopia. Therefore, this study aimed at determining the prevalence of musculoskeletal disorders and identifying factors associated in people with diabetes in Felege Hiwot Comprehensive Specialized Hospital, northwest Ethiopia.

METHODS

A cross-sectional study design was employed at Felege Hiwot Comprehensive Specialized Hospital from June 01 to August 30, 2020, among 413 participants. A systematic random sampling was employed to select the study participants. A structured, pretested questionnaire was used to collect data on socio-demographic, clinical, and lifestyle characteristics. Musculoskeletal disorders were assessed through clinical and physical examination. A logistic regression model was used to explore factors associated with musculoskeletal disorders.

RESULT

The prevalence of musculoskeletal disorders among diabetes mellitus patients was 24% (95% CI 20, 28.3). In logistic regression, factors such as being female, older age, occupation (farmer, merchant, and retired), and long duration of diabetes were significantly associated with musculoskeletal disorders.

CONCLUSION

Nearly one quarter of the study participants had musculoskeletal disorders. Special attention should be given for those individuals living with diabetes mellitus, particularly for those who are female, are older, and had a prolonged history of diabetes mellitus.

A meta-analysis and meta-regression on the prevalence of lipohypertrophy in diabetic patients on insulin therapy

AIMS OF THE STUDY

This study aimed to assess the prevalence of lipohypertrophy (LH) in diabetes mellitus (DM) patients on insulin therapy and identify factors influencing the prevalence rates through a meta-analysis and meta-regression.

METHODS

Databases of PubMed, Embase, Scopus, and Google Scholar were screened from inception to 20th Aug 2020. Data on prevalence was transformed using the logit transformation for pooling the proportions using the DerSimonian-Laird meta-analysis model. Random-effects meta-regression analysis was performed to assess the influence of the following moderators on the pooled prevalence: male gender, mean age, type of DM, DM duration, duration of insulin therapy, needle re-users, rotation of injection site, HbA_1c, insulin dose, ≥8mm needle users and mean number of injections/day.

RESULTS

Forty-five studies were included. LH was diagnosed by observation and palpation by all studies. On meta-analysis of data from 26,865 participants, the overall prevalence of LH was found to be 41.8% (95% CI: 35.9% to 47.6%). On region-wise analysis, pooled prevalence of LH in Europe was 44.6% (95% CI: 37.5% to 51.8%) in Africa was 34.8% (95% CI: 16.9% to 52.8%) and in Asia was 41.3% (95% CI: 27.2% to 55.3%). The pooled prevalence of LH in studies only on type 1 and type 2 DM patients was 39.9% (95% CI: 28.3% to 51.6%) and 45.9% (95% CI: 29.5% to 62.4%) respectively. Only insulin duration was found to significantly influence the prevalence of LH on meta-regression.

CONCLUSION

Our study indicates that the prevalence of LH in DM patients on insulin therapy is estimated to be 41.8%. The longer the duration of insulin therapy, the higher is the prevalence of LH.

Determinants of diabetes ketoacidosis among diabetes mellitus patients at North Wollo and Waghimra zone public hospitals, Amhara region, Northern Ethiopia

BACKGROUND

Diabetes Mellitus (DM) is a metabolic disorder associated with acute and chronic complications. Diabetic ketoacidosis (DKA) is the most serious diabetic emergency in patients with type one and type two diabetes mellitus. It is the leading cause of mortality in children and young adults. Even though the burden of DKA has increased, no research has been conducted on the determinants of Diabetes ketoacidosis in Ethiopia, particularly in the Amhara region. Thus, this study aimed to identify the determinants of diabetes Ketoacidosis among Diabetes Mellitus patients at North Wollo and Waghimra Zone public Hospitals.

METHODS

An institution-based unmatched case-control study design was employed among 408 patients at North Wollo and Waghimra Zone Public Hospitals from March 1st to April 30th, 2020. A consecutive sampling method was used to select study participants. The data were collected using structured interviewer-administered questioners and reviewing of patient charts. The analysis was done using a binary logistic regression model. Then, P-value < 0.05 was considered statistically significant.

RESULT

The mean (±SD) age of the study participants was 46.96 (± 15.175 SD) years. Irregular follow-up in diabetes clinic (AOR:4.19, 95% CI: 2.28-7.71), not received diabetic education (AOR: 2.87, 95% CI:1.44-5.72), alcohol drinking (AOR:2.99, 95% CI: 1.46-6.12), discontinuation of medications (AOR: 4.31, 95% CI:1.92-9.68), presence of comorbidity (AOR:2.57, 95% CI: 1.37-4.84), and being type one of diabetes mellitus (AOR: 2.01, 95% CI:1.11-3.63) were determinant factors of diabetic ketoacidosis .

CONCLUSIONS

This study showed that the behavioral and clinical characteristics of diabetic patients were determinant factors of DKA. Follow-up in the diabetic clinic, diabetic education, discontinuation of medications, alcohol drinking, presence of comorbidities, and type of diabetes mellitus were independent determinants of diabetic ketoacidosis.

Diabetic Peripheral Neuropathy in Ethiopia: A Systematic Review and Meta-Analysis

BACKGROUND

Currently, diabetic peripheral neuropathy (DPN) is one of the most severe complications of diabetes mellitus (DM). Despite the seriousness of this problem, limited evidence is available on the prevalence of diabetic peripheral neuropathy among patients with diabetes mellitus in Ethiopia. In Ethiopia, there were no updated studies that estimate the national prevalence of DPN. Hence, this systematic review and meta-analysis provided a national prevalence of diabetic peripheral neuropathy among patients with diabetes mellitus in Ethiopia.

METHODS

This study was submitted for registration with the International Prospective Register of Systematic Reviews (PROSPERO) in March 2020 and accepted with the registration number CRD42020173831. Different database searching engines were searched online to retrieve related articles, including PubMed, Scopus, Google Scholar, African Journals Online, World Health Organization (WHO) Afro Library, and Cochrane Review. The reviewers used the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guideline in the reviewing process. In this systematic review and meta-analysis, all published and unpublished articles were analyzed. The reviewers used the random effects model to estimate the pooled prevalence of diabetic peripheral neuropathy among diabetes mellitus patients. The reviewers conducted the statistical analysis using the R version 3.5.3 and RStudio version 1.2.5033 software for Windows. The reviewers evaluated the heterogeneity across the included studies by the inconsistency index (I ²). The reviewers examined the publication bias by the funnel plot.

RESULTS

The search of the databases produced 245 papers. After checking the inclusion and exclusion criteria, 38 articles with 14029 total patients with diabetes mellitus were found suitable for the review. Except for three (retrospective cohort study), all studies were cross-sectional. The overall pooled prevalence of diabetic peripheral neuropathy was 22% (95% CI 18% to 26%). The subgroup analysis of diabetic peripheral neuropathy among patients with diabetes in the different regions was 23% (95% CI 17% to 29%) in Addis Ababa, 27% (95% CI 16% to 38%) in Oromia, 16% (95% CI 14% to 18%) in South nation and nationalities, and 15% (95% CI 6% to 24%) in Amhara.

CONCLUSIONS

More than one-fifth of patients with diabetes have diabetic peripheral neuropathy. According to this study, the prevalence of diabetic peripheral neuropathy in Ethiopia is considerably high. This evidence suggests that attention should be given to patients with diabetes in monitoring patients' blood glucose.