Assessment of glycemic control in type 2 diabetes in the Eastern Sudan

Healthcare workers' views on type 2 diabetes mellitus management at selected clinics in Mthatha

BACKGROUND

 Diabetes is a non-communicable disease of global public health importance. Healthcare workers play a vital role in the management of this disease.

AIM

 This study aimed to explore healthcare workers' views on managing patients with type 2 diabetes at primary health care facilities.

SETTING

 The study was conducted at two primary health care facilities in Mthatha, South Africa.

METHODS

 This exploratory descriptive qualitative study included 28 primary health care workers. Data were collected through individual interviews and focus group discussions and analysed using a thematic analysis approach.

RESULTS

 Study participants' views of poor control of type 2 diabetes mellitus were categorised under patient- and healthcare system-related factors. The patient-related factors included poor adherence to an ideal diabetic diet, poor medication adherence, a lack of personal glucometers, and dearth of support systems. The healthcare system-related factors identified were inadequate patient education, long waiting times at the health facilities, high patient volumes, limited resources, and delayed service provision. Proposed solutions to address poor control of diabetes included improving patient health education, providing diabetic patients with glucometers, multi-stakeholder management of diabetes, allocating designated areas for patients with chronic illnesses, improved resource allocation, and regular staff training.

CONCLUSION

 Study participants perceived an improved level of control of diabetes among patients managed at the Community Health Centres. When designing interventions for the management of diabetes, both patient and healthcare system-related factors and the proposed solutions should be considered.Contribution: This study's findings could promote better management of diabetes at the primary health care level.

Prevalence of and factors associated with suboptimal glycemic control among patients with type 2 diabetes mellitus attending public hospitals in the Greater Male' Region, Maldives: a hospital-based cross-sectional study

BACKGROUND

Suboptimal glycemic control of type 2 diabetes mellitus (T2DM) which is defined as having HbA1c greater than 7% is a major public health problem in several countries, including the Maldives. The study aimed to estimate the prevalence and determine factors associated with suboptimal glycemic control among T2DM patients.

METHODS

A hospital-based cross-sectional was applied to collect data from T2DM patients who attended public hospitals in the Greater Male' Region, Maldives where were one of the highest reports of T2DM and suboptimal glycemic control cases in the country between January to March 2023 by a validated questionnaire and anthropometric measurements. Five (5) ml blood specimens were collected to measure the glycated hemoglobin (HbA1c) level. Univariable and multivariable logistic regressions were employed to determine factors associated with suboptimal glycemic control of T2DM at a significant level of α = 0.05.

RESULTS

A total of 341 participants were recruited for the study: 65.7% were female, 42.5% were aged 40-60 years, and 42.2% were married. The overall prevalence of suboptimal glycemic control was 50.7%. Ten variables were found to be associated with suboptimal glycemic control in multivariable logistic regression. Those aged 40-60 years (AOR = 3.35, 95% CI = 1.78-6.30), being single (AOR = 2.53, 95% CI = 1.21-5.30), preparation of food using more than three tablespoons of cooking oil (AOR = 2.78, 95% CI = 1.46-5.28), preparation of food with more than three tablespoons of sugar (AOR = 2.55, 95% CI = 1.31-4.93), no exercise (AOR = 2.04, 95% CI = 1.15-3.61), DM diagnosed with more than twenty years prior (AOR = 2.59, 95% CI = 1.34-4.99), obese body mass index (BMI) (AOR = 3.82, 95% CI = 1.75-8.32), high total cholesterol (AOR = 2.43, 95% CI = 1.36-4.35), high triglycerides (AOR = 3.43, 95% CI = 1.93-6.11), and high-level stress (AOR = 2.97, 95% CI = 1.48-5.93) were having a greater odds of having suboptimal glycemic control than those who did not have these characteristics.

CONCLUSION

A large proportion of T2DM patients in the Greater Male' Region fail to control their blood glucose. Effective public health interventions should be introduced, especially interventions focused on reducing cooking oil and sugar in daily cooking practices, encouraging regular exercise, and maintaining cholesterol levels, particularly for those diagnosed with diabetes mellitus for more than 20 years prior.

Glycemic control and its associated factors among adult diabetic patients in Southern Ethiopia: a cross-sectional study

Background

Diabetes mellitus is a group of common metabolic disorders that share the phenotype of hyperglycemia. Chronic hyperglycemia causes vascular complications, mortality, and life-threatening disabilities in low-income countries including Ethiopia. Glycemic control status in diabetic patients is crucial to maintain the blood glucose level at the optimal level and to reduce the risk of diabetes-related complications and mortality. However, there is limited data on poor glycemic control status and its associated factors among diabetic patients in southern Ethiopia, particularly in the study area. Thus, this study aimed to determine glycemic control status and its associated factors using glycated hemoglobin among adult diabetic patients at Nigist Elleni Mohammad Memorial Referral Hospital, Hossana, southern Ethiopia.

Materials and methods

A facility-based cross-sectional study was conducted from May 1 to June 30, 2020. A systematic random sampling technique was used to recruit 307 diabetic patients at follow-up. Interviewer administered questionnaire was used to collect data on sociodemographic, clinical, and behavioral characteristics. Five milliliters of venous blood samples were collected to determine lipid profiles and hemoglobin A1C. Lipid profiles and hemoglobin A1C were measured by Cobas c311 analyzer. The data were analyzed by SPSS version 20. Bivariable and multivariable logistic regression were used to determine associated factors with poor glycemic control status. P-value <0.05 was considered statistically significant.

Result

The overall prevalence of poor glycemic control among the study participants based on hemoglobin A1C ≥7% was 82.4%. Having a history of diabetic complications (AOR: 7.09, 95%CI: 1.72-29.16), duration of diabetes ≥7 years (AOR: 4.09, 95%CI: 1.38-12.08), insulin and oral hypoglycemic agents (AOR: 0.106 95%CI: 0.02-0.44), lack of self-glucose monitoring (AOR: 8.27, 95%CI: 1.61-42.46), lack of physical exercise (AOR: 5.5, 95%CI: 1.6-18.9) and dyslipidemia (AOR: 2.74, 95%CI: 1.12-6.66) were significantly associated with poor glycemic control.

Conclusion

A high prevalence of poor glycemic control status (82.4%) was observed among diabetic patients in this study area, and disease-related factors like duration of diabetes, complication, treatment type and lack of self-glucose monitoring, physical exercise, and dyslipidemia were identified as factors significantly associated with poor glycemic control status. The finding of the current study should be taken into account to conduct a strategic and timely intervention on significantly associated factors to delay diabetic complications and to improve the health outcome of diabetic patients. Routine screening and monitoring of dyslipidemia and providing health education on behavioral factors were the necessary measures that should be conducted to reduce the burden of poor glycemic control status among diabetic patients.

Factors associated with glycemic control and diabetes complications in a group of Saudi patients with type 2 diabetes

Poor glycemic control is a risk factor for micro and macrovascular complications of diabetes. The aim of this study was to assess the prevalence and factors related to suboptimal glycemic control and diabetes complications in a group of patients with type 2 diabetes mellitus (T2DM). This cross-sectional descriptive study conducted in Al Qassim region, Saudi Arabia. Two hundred patients with T2DM were enrolled. Demographic, social, and self-care behavior data were collected. A thorough clinical evaluation was done. Glycated hemoglobin, lipid, and kidney profile results were recorded. Mann-Whitney test was used to compare different groups. For comparing categorical data, Chi-square (χ2) test was performed. Multivariate logistic regression analyses used to detect predictors of poor glycemic control and macrovascular and microvascular complications. The median age of patients was 58 years, and 62% of them were males. Only 22.5% of patients had glycated hemoglobin <7%. Forty-four patients (22%) had evidence of macrovascular complications. Retinopathy, neuropathy, and nephropathy were found in 42.5%, 32.5%, and 12%, respectively. Longer diabetes duration was significantly associated with poor glycemic control (OR = 1.006, P < .005). The age of the patients was independently associated with macrovascular complications (OR = 1.050, P = .029). Hyperlipidemia was significantly associated with neuropathy (OR = 0.229, P = .043) and retinopathy (OR = 12.887, P = .003). Although physical activity was lower in patients with suboptimal glycemic levels (P = .024), cardiovascular disease (P = .030), neuropathy (P < .001), retinopathy (P < .001), and nephropathy (P = .019), multivariate analysis showed that it was only independently associated with neuropathy (OR = 0.614, P = .001). The prevalence of suboptimal glycemic control is high in the studied population. Effective health measures are urgently needed to stop diabetes complications, especially retinopathy and neuropathy. Elderly people with long durations of diabetes, and lower physical activity should be the focus of the interventions. Tailored exercise programs are particularly needed for better diabetes control and for the prevention of complications in patients with T2DM.

Lipid profiles and their relation to glycemic control in Saudi Arabia: The role of altitudes and environmental factor

Background

The height from sea levels, environmental factors, human-environment interactions, and lifestyle significantly influence the lipid profile and glycemic control of a population.

Objective

This study aims to explore the influence of altitude on lipid profiles and glycemic control among the Saudi population at sea level and high altitude.

Methods

In this retrospective cross-sectional study, a large dataset of patients of both gender and over 30 years old attending internal medicine clinics from two different regions at different heights from sea level, Jeddah (sea level) and Asir region (high altitudes) and referred to commercial laboratories for glycated haemoglobin (HbA1c) and lipids profile.

Results

Compared to the Asir region, the Jeddah region had significantly higher mean values for fasting blood sugar (FBG), total cholesterol (TC), low-density lipoprotein (LDL-C), and triglycerides (TG) (P < 0.05). Every 1 mg/dL increase in FBG results in a 0.662 mg/dL increase in TG from the Jeddah region. However, it was a 0.318 mg/dL increase in TG from the Asir region. HbA1c demonstrated a significant (P < 0.05) strong positive correlation with TC, low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), and lipid ratio. FBG levels were also associated with a high level of TC/HDL-C (β = 0.137 95% confidence interval [CI]: 0.11-0.21; P < 0.05), LDL-C/high-density lipoprotein cholesterol (HDL-C) (β = 0.50; 95% CI: 0.31-1.49; P < 0.05), and TG/HDL-C (β = 0.14; 95% CI = 0.12-0.15; P < 0.05) in Jeddah region. However, significantly high blood pressure was observed in the population from high altitudes.

Conclusion

Our results demonstrated a significant positive correlation between lipid profile and glycemic control with high prevalence at sea level.

Determinants of poor glycemic control among type 2 diabetes mellitus patients at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia: Unmatched case-control study

BACKGROUND

Poor glycemic control is one of the most determinant factors for type 2 diabetes-related morbidity and mortality. The proportion of type 2 diabetes mellitus patients with poor glycemic control remains high. Yet evidence on factors contributing to poor glycemic control remains scarce. The aim of this study is to identify determinants of poor glycemic control among type 2 diabetes mellitus patients at a diabetes mellitus clinic in University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia Determinants of Poor Glycemic Control among Type 2 Diabetes mellitus Patients at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia: Unmatched Case-Control Study.

METHODS

A hospital-based case-control study was conducted from June to September 2020. Using convenience sampling techniques, a total of 90 cases and 90 controls with type 2 diabetes were recruited. The data were entered into Epidata version 4.6.0.2 and analyzed by Stata version 14. A multivariable logistic regression analysis was performed to assess the association between independent variables and glycemic control. Both 95% CI and p-value<0.05 were used to determine the level and significance, respectively.

RESULTS

The mean age ( ± standard deviations) for the cases and controls were 57.55± 10.42 and 61.03± 8.93% respectively. The determinants of poor glycemic control were age (Adjusted odd ratio (AOR)= 0.08; 95% CI= 0.02-0.33), inadequate physical exercise (AOR = 5.05; 95% CI = 1.99-11.98), presence of comorbidities (AOR = 5.50; 95% CI = 2.06-14.66), non-adherence to anti-diabetes medications (AOR= 2.76; 95% CI= 1.19-6.40), persistent proteinuria (AOR=4.95; 95% CI=1.83-13.36) and high-density lipoprotein less than 40 mg/dl (AOR=3.08; 95% CI= 1.30-7.31).

CONCLUSIONS

Age less than 65 years, inadequate physical exercise, presence of comorbidities, non-adherence to anti-diabetes medications, persistent proteinuria, and high-density lipoprotein less than 40 mg/dl were the determinants of poor glycemic control. Therefore, targeted educational and behavioral modification programs on adequate exercise and medication adherence should be routinely practiced. Furthermore, early guideline-based screening and treatment of comorbidities and complications is required to effectively manage diabetes mellitus.

Assessment of Glycemic Control in Patients With Diabetes in Northern Sudan Using Calculated HbA1c

BACKGROUND

Diabetes mellitus (DM) significantly burdens health services worldwide. As a simple and cost-effective method, the mathematical calculation of HbA1c is coming to be of value in areas with scarce resources. This study aimed to use calculated HbA1c to ascertain the prevalence of uncontrolled DM and correlate it with the risk factors for DM.

METHODS

In the River Nile State of northern Sudan, a cross-sectional study was conducted in five leading cities from May to August 2021. Patients diagnosed and recorded as having type 2 or type 1 DM were included in this study. Enzymatic methods were used to assess fasting blood glucose (FBG). We used the mean of three FBG readings for three months to calculate HbA1c using the equation {HbA1c = (FBG mg/dl) x 0.03+2.6}, which was used to compute the estimated mediocre blood sugar over the course of three months.

RESULTS

A total of 2047 diabetic patients from northern Sudan were studied for their DM control. Nearly two-thirds (65.2%) had uncontrolled DM. Of the patients studied, uncontrolled DM was significantly positively associated with older age, history of ischemic heart disease, and being a housewife. Multivariate regression analysis showed significant correlations between uncontrolled DM, an inactive lifestyle, and obesity.

CONCLUSION

The prevalence of uncontrolled DM among known patients with diabetic in northern Sudan is high (65.2%). The inactive lifestyles of housewives and freelance workers, having type 1 DM, and being hypertensive and obese are risk factors significantly associated with uncontrolled DM and its related complications.

Indicators of optimal diabetes care and burden of diabetes complications in Africa: a systematic review and meta-analysis

OBJECTIVE

Contemporary data on the attainment of optimal diabetes treatment goals and the burden of diabetes complications in adult populations with type 2 diabetes in Africa are lacking. We aimed to document the current status of attainment of three key indicators of optimal diabetes care and the prevalence of five diabetes complications in adult African populations with type 2 diabetes.

METHODS

We systematically searched Embase, PubMed and the Cochrane library for published studies from January 2000 to December 2020. Included studies reported any information on the proportion of attainment of optimal glycated haemoglobin (HbA1c), blood pressure (BP) and low-density lipoprotein cholesterol (LDLC) goals and/or prevalence of five diabetes complications (diabetic peripheral neuropathy, retinopathy, nephropathy, foot ulcers and peripheral arterial disease). Random effect model meta-analysis was performed to determine the pooled proportion of attainment of the three treatment goals and the prevalence of five diabetes complications.

RESULTS

In total, 109 studies with a total of 63 890 participants (53.3% being females) were included in the meta-analysis. Most of the studies were conducted in Eastern African countries (n=44, 40.4%). The pooled proportion of attainment of an optimal HbA1c, BP and LDLC goal was 27% (95% CI 24 to 30, I²=94.7%), 38% (95% CI 30 to 46, I²=98.7%) and 42% (95% CI 32 to 52, I²=97.4%), respectively. The pooled prevalence of diabetic peripheral neuropathy, retinopathy, diabetic nephropathy, peripheral arterial disease and foot ulcers was 38% (95% CI 31 to 45, I²=98.2%), 32% (95% CI 28 to 36, I²=98%), 31% (95% CI 22 to 41, I²=99.3%), 19% (95% CI 12 to 25, I²=98.1%) and 11% (95% CI 9 to 14, I²=97.4%), respectively.

CONCLUSION

Attainment of optimal diabetes treatment goals, especially HbA1c, in adult patients with type 2 diabetes in Africa remains a challenge. Diabetes complications, especially diabetic peripheral neuropathy and retinopathy, are highly prevalent in adult populations with type 2 diabetes in Africa.

Glycaemic control among type 2 diabetes patients in sub-Saharan Africa from 2012 to 2022: a systematic review and meta-analysis

BACKGROUND

There is an increased burden of diabetes globally including in sub-Saharan Africa. The literature shows that glycaemic control among type 2 diabetes patients is poor in most countries in sub-Saharan Africa. Understanding the factors influencing glycaemic control in this region is therefore important to develop interventions to optimize glycaemic control. We carried out a systematic review to determine the prevalence and factors associated with glycaemic control in sub-Saharan Africa to inform the development of a glycaemic control framework in the Democratic Republic of the Congo.

METHODS

We searched five databases (African Index Medicus, Africa-Wide Information, Global Health, PubMed, and Web of Science) using the following search terms: type-2 diabetes, glycaemic control, and sub-Saharan Africa. Only peer-reviewed articles from January 2012 to May 2022 were eligible for this review. Two reviewers, independently, selected articles, assessed their methodological quality using Joanna Briggs checklists, and extracted data. A meta-analysis was performed to estimate the prevalence of glycaemic control. Factors associated with glycaemic control were presented as a narrative synthesis due to heterogeneity as assessed by the I2.

RESULTS

A total of 74 studies, involving 21,133 participants were included in the review. The pooled prevalence of good glycaemic control was 30% (95% CI:27.6-32.9). The glycaemic control prevalence ranged from 10-60%. Younger and older age, gender, lower income, absence of health insurance, low level of education, place of residence, family history of diabetes, longer duration of diabetes, pill burden, treatment regimen, side effects, use of statins or antihypertensives, alcohol consumption, smoking, presence of comorbidities/complications, and poor management were associated with poor glycaemic control. On the other hand, positive perceived family support, adequate coping strategies, high diabetes health literacy, dietary adherence, exercise practice, attendance to follow-up, and medication adherence were associated with good glycaemic control.

CONCLUSION

Suboptimal glycaemic control is pervasive among patients with type-2 diabetes in sub-Saharan Africa and poses a significant public health challenge. While urgent interventions are required to optimize glycaemic control in this region, these should consider sociodemographic, lifestyle, clinical, and treatment-related factors. This systematic review and meta-analysis protocol is registered in PROSPERO under CRD 42021237941.

Prevalence and associated factors of erectile dysfunction in men with type 2 diabetes mellitus in eastern Sudan

BACKGROUND

Diabetes mellitus (DM) is a global health threat and burden that is associated with many chronic complications. Erectile dysfunction (ED) among patients with DM is one of these complications. There is no published data on ED in Sudan; hence, we conducted this study to evaluate the prevalence of ED and the associated factors in patients with type 2 diabetes mellitus (T2DM) in eastern Sudan.

METHODS

We performed a cross-sectional study. Data on blood glucose level, cholesterol level, anthropometric and demographic characteristics, results of the International Index of Erectile Function (IIEF-5) questionnaire, and clinical history were obtained.

RESULTS

A total of 334 men with T2DM with a median (interquartile range [IQR]) age of 55.0 (±10.0) years were enrolled in the study. The median (IQR) of the duration of DM was 7.0 (±8) years, and 260 (77.8%) had uncontrolled T2DM. The median (IQR) body mass index was 24.5 (±4.9) kg/m2. Of the participants, 81 (24.3%) had severe ED, 52 (15.6%) had moderate ED, 75 (22.5%) had mild to moderate ED, and 63 (13.9%) had mild ED. Of the 334 men, 271 (81.1%) had ED. Logistic regression analysis showed that age (adjusted Odds Ratio [AOR] = 1.07, 95% confidence interval [CI] = 1.01-1.14), duration of DM (AOR = 1.26, 95% CI = 1.06-1.51), and cholesterol levels (AOR = 3.53, 95% CI = 1.75-7.11) were positively associated with ED. Moreover, poor glycaemic control (AOR = 3.38, 95% CI = 1.70-6.71, P < 0.001) was significantly associated with ED.

CONCLUSION

There is a high prevalence of ED among patients with T2DM in eastern Sudan. Age, duration of DM, and cholesterol were positively associated with ED.

Prevalence and predictors of suboptimal glycemic control among patients with type 2 diabetes mellitus in northern Thailand: A hospital-based cross-sectional control study

Background

Suboptimal glycemic control among patients with type 2 diabetes mellitus (DM) is a significant public health problem, particularly among people living with poor education and economic statuses, including those with a unique dietary culture. This study aimed to estimate the prevalence and identify the factors associated with suboptimal glycemic control among patients with type 2 DM during the coronavirus disease-2019 (COVID-19) pandemic.

Methods

A hospital-based cross-sectional study was used to elicit information from DM patients attending six hospitals located in Chiang Rai Province, northern Thailand, between February and May 2021. A validated questionnaire and 5 mL blood specimens were used as the research tools. Glycated hemoglobin (HbA1c) greater than 7.0% among DM patients at least two years after diagnosis was defined as suboptimal glycemic control. Chi-square tests and logistic regression were used to identify the associations between variables at the significance level α = 0.05.

Results

A total of 967 patients were recruited for this study; 54.8% 530 had suboptimal glycemic control, 58.8% were female, 66.5% were aged 50-69 years, and 78.5% were married (78.5%). Six variables were found to be associated with suboptimal glycemic control in multivariable logistic regression. Participants aged <49, 50-59, and 60-69 years had 3.32 times (95% CI = 1.99-5.53), 2.61 times (95% CI = 1.67-4.08), and 1.93 times (95% CI = 1.26-2.95) greater odds of having suboptimal glycemic control, respectively, than those aged ≥70 years. Married individuals had 1.64 times (95% CI = 1.11-2.41) greater odds of having suboptimal glycemic control than those ever married. Participants who consumed sticky rice had 1.61 times (95% CI = 1.19-2.61) greater odds of having suboptimal glycemic control than those who did not consume sticky rice in daily life. Participants who had been diagnosed with DM for 11-20 years and ≥21 years had 1.98 times (95% CI = 1.37-2.86) and 2.46 times (1.50-4.04) greater odds of having suboptimal glycemic control, respectively, than those who had been diagnosed ≤ 10 years. Participants who had experienced forgetting to take their medication had 2.10 times (95% CI = 1.43-3.09) greater odds of having suboptimal glycemic control than those who did not, and those who had their medical expenses covered by the national scheme had 2.67 times (95% CI = 1.00-7.08) greater odds of suboptimal glycemic control than those who self-paid.

Conclusion

Effective health interventions to control blood glucose among DM patients during ongoing treatment are urgently required. The interventions should focus on patients aged less than 69 years, marital status, forgetting to take their medication, and a longer time since diagnosis, including reducing their sticky rice consumption. The effects of copayments should also be considered.

Poor glycemic control and its associated factors among diabetes patients attending public hospitals in West Shewa Zone, Oromia, Ethiopia: An Institutional based cross-sectional study

Purpose

Diabetes mellitus (DM) is increasing at an alarming rate throughout the world and its complications of has become a major public health concern in all countries. Glycemic control is the most important predictor for DM related complications and deaths. However information on glycemic control remains scarce in Ethiopia including our study area. Hence, the aim of this study was to assess the magnitude and factors associated with poor glycemic control among diabetic outpatients at West Shewa public Hospitals, Ethiopia.

Methods

A facility-based cross-sectional study was conducted from June 01 to September 30, 2020. Poor glycemic control was assessed by glycated hemoglobin level and a systematic random sampling method was employed to select participants. An interviewer-administered structured questionnaire was used and the data entered into Epi data version 3.1 and exported into SPSS version 22 for analysis. Logistic regression was conducted to identify predictors of poor glycemic control. A p-value of <0.05 was considered statistically significant.

Results

A total of 390 participants were involved in the study with mean age of 46.45 (±15.6) years. The study finding showed that the prevalence of poor glycemic control was found to be 63.8%. Age of ≥50 years (AOR = 2.77; 95% CI: 0.15,0.85), being single (AOR = 2.55; 95% CI: 0.179,.857), having high low-density lipoprotein cholesterol (AOR = 3.44; 95% CI: 1.65, 7.12), being female gender (AOR = 2.4; 95%CI: 0.31,0.816), alcohol intake (AOR = 1.88; 95% CI: 1.135, 3.1) and presence of diabetic peripheral neuropathy (AOR = 1.24; 1.1,1.39) were associated with poor glycemic control.

Conclusion

About two-thirds of participants had poor blood glucose control. Increased age, high low-density lipoprotein cholesterol, family history of diabetes, being single, being female, diabetic peripheral neuropathy and alcohol intake were associated with poor glycemic control. Hence, effort should be made towards reducing these factors among DM patients by the concerned body.

The association between blood glucose levels and lipids or lipid ratios in type 2 diabetes patients: A cross-sectional study

BACKGROUND

Lipids and lipid ratios are associated with complications of diabetes mellitus type 2 (T2DM), such as cardiovascular disease, but the relationship between blood glucose levels and lipid or lipid ratios is not fully understood in T2DM patients. This study assesses the association between blood glucose levels and lipid or lipid ratios in a cohort of T2DM patients.

METHODS

A total of 1,747 Chinese T2DM patients from the Ningxia province of China were included in this cross-sectional study. Lipid parameters, including triglycerides (TG), total cholesterol (TC), high-density lipoprotein (HDL-C), low-density lipoprotein (LDL-C), and fasting blood glucose levels were measured quantitatively using standard methods. Fasting blood glucose was divided into three groups. A multiple mixed-effect linear regression model was conducted to identify a potential association between blood glucose and lipid parameters.

RESULTS

There was a positive association between blood glucose and TG levels (β=0.34, 95% CI: (0.20, 0.48), p<0.01); every 1 mmol/L increase in blood glucose levels resulted in a 0.34 mmol/L increase in TG. Blood glucose levels were also associated with high LDL (β=0.08, 95% CI: (0.02, 0.14), p<0.01), TG/HDL-C (β=0.31, 95% CI: (0.13, 0.49), p<0.01), and LDL-C/HDL-C (β=0.13, 95% CI: (0.06, 0.20), p<0.01) levels. After controlling for demographic variables, health-related behaviors, and physical health variables, a positive association between blood glucose levels and TG (β=0.31, 95% CI: (0.17, 0.45), p<0.01) and LDL-C (β=0.08, 95% CI: (0.02, 0.13), p<0.01) levels and an in increase in TG/HDL-C (β=0.28, 95% CI: (0.09, 0.46), p<0.01) and LDL-C/HDL-C (β=0.11, 95% CI: (0.04, 0.18), p<0.01) ratios was found.

CONCLUSION

A correlation between blood glucose levels and serum lipids or lipid ratios has been established in this study. Blood glucose levels were positively associated with TG and LDL-C levels and elevated TG/HDL-C and LDL-C/HDL-C ratios.

Prevalence of diabetic foot amongst adults with diabetes mellitus in northern Sudan: A cross-sectional study

OBJECTIVE

The aim of this study was to determine the prevalence and associated factors for diabetic foot (DF) amongst patients with diabetes Mellites (DM) in Nahr an Nil State (River Nile State), Sudan.

METHODS

We conducted a cross-sectional study between May and August 2018. DM patients were examined for DF, and clinical data were collected through a questionnaire.

RESULTS

A total of 2048 DM patients were enrolled in the study. Their median (interquartile range) age was 58 (15) years. Over half (54.2%) of the patients were female. The median (interquartile range) of the duration of diabetes was 5 (6) years. In this sample, 70.1% of the patients had type 2 DM and 47.6% had hypertension as well. Of all enrolled patients, 21.2% had normal weight, 1.2% were underweight, 37.2% were overweight and 40.4% were obese. Two hundred and sixty (12.7%) patients had DF. Multivariate regression analyses showed that age [adjusted odds ratio (AOR) = 1.21; 95% confidence interval (CI): 1.18-1.24] and duration of DM (AOR = 1.09; 95% CI: 1.05-1.14) were positively associated with DF. Moreover, type 2 DM (AOR = 1.77; 95% CI: 1.17-2.68), family history of DM (AOR = 1.5; 95% CI: 1.07-2.09), hypertension (AOR = 2.93; 95% CI: 2.07-4.16) and obesity (AOR = 2.86; 95% CI: 1.70-4.81) were associated with DF. There was no significant association between DF and gender or overweight status.

CONCLUSION

This study found a high prevalence of DF. Older age, type 2 DM, duration of DM, family history of DM and hypertension are associated with DF.

HbA1c performs well in monitoring glucose control even in populations with high prevalence of medical conditions that may alter its reliability: the OPTIMAL observational multicenter study

INTRODUCTION

The utility of HbA1c (glycosylated hemoglobin) to estimate glycemic control in populations of African and other low-resource countries has been questioned because of high prevalence of other medical conditions that may affect its reliability. Using continuous glucose monitoring (CGM), we aimed to determine the comparative performance of HbA1c, fasting plasma glucose (FPG) (within 5 hours of a meal) and random non-fasting glucose (RPG) in assessing glycemic burden.

RESEARCH DESIGN AND METHODS

We assessed the performance of HbA1c, FPG and RPG in comparison to CGM mean glucose in 192 Ugandan participants with type 2 diabetes. Analysis was undertaken in all participants, and in subgroups with and without medical conditions reported to affect HbA1c reliability. We then assessed the performance of FPG and RPG, and optimal thresholds, in comparison to HbA1c in participants without medical conditions thought to alter HbA1c reliability.

RESULTS

32.8% (63/192) of participants had medical conditions that may affect HbA1c reliability: anemia 9.4% (18/192), sickle cell trait and/or hemoglobin C (HbC) 22.4% (43/192), or renal impairment 6.3% (12/192). Despite high prevalence of medical conditions thought to affect HbA1c reliability, HbA1c had the strongest correlation with CGM measured glucose in day-to-day living (0.88, 95% CI 0.84 to 0.91), followed by FPG (0.82, 95% CI 0.76 to 0.86) and RPG (0.76, 95% CI 0.69 to 0.81). Among participants without conditions thought to affect HbA1c reliability, FPG and RPG had a similar diagnostic performance in identifying poor glycemic control defined by a range of HbA1c thresholds. FPG of ≥7.1 mmol/L and RPG of ≥10.5 mmol/L correctly identified 78.2% and 78.8%, respectively, of patients with an HbA1c of ≥7.0%.

CONCLUSIONS

HbA1c is the optimal test for monitoring glucose control even in low-income and middle-income countries where medical conditions that may alter its reliability are prevalent; FPG and RPG are valuable alternatives where HbA1c is not available.

The calculated versus the measured glycosylated haemoglobin (HbA1c ) levels in patients with type 2 diabetes mellitus

BACKGROUND

Diabetes mellitus (DM) is a chronic metabolic disorder that is increasing globally. It is associated with chronic complications that are more common among patients with poor glycaemic control. Glycosylated haemoglobin (HbA_1c ) is the gold standard for monitoring glycaemic control. Measurements of HbA_1c are relatively expensive and not available in some remote areas of developing countries.

METHODS

We conducted a cross-sectional study to evaluate the agreement between the calculated and measured HbA_1c levels. The equation to compute the calculated HbA_1c also incorporated the fasting blood glucose (FBG) level and was as follows: HbA_1c  = 2.6 + 0.03 × FBG (mg/dl).

RESULT

We enrolled 290 patients with type 2 DM in this study. Of these, 204 (70.3%) were females and the mean (SD) age was 54.9 (12.8) years. The mean (SD) diabetes duration was 6.8 (5.5) years. There were 211 (72.8%) patients using oral hypoglycaemic agents, 62 (21.4%) were using insulin and 17 (5.9%) were using both insulin and oral hypoglycaemic agents. There was a borderline difference between the mean (SD) calculated and measured HbA_1c levels (p = 0.054). There was a significant correlation between the calculated and measured HbA_1c (r = 0.595, p < 0.001). However, there was no agreement between the calculated and measured HbA_1c . The bias ±SD (limits of agreement) for calculated versus measured HbA_1c was -1.008 ± 2.02% (-5.05, 2.032).

CONCLUSION

Despite the presence of a significant correlation between the calculated and measured HbA_1c , the calculated level has shown an unacceptable agreement with the measured HbA_1c .

Magnitude and predictors of poor glycemic control among patients with diabetes attending public hospitals of Western Ethiopia

BACKGROUND

Diabetes is one of the most prevalent non-communicable diseases globally, which rapidly is increasing in developing countries. Ethiopia is also facing growing morbidity and mortality related to diabetes complications. Thus, dealing with glycemic control is essential for controlling the development of devastating acute and chronic complications related to diabetes. Therefore, this study aims to assess the magnitude and predictors of poor glycemic control among diabetic patients in western Ethiopia.

METHODS

The cross-sectional study design was employed on a sample of 423 diabetic patients. A systematic random sampling method was employed. An interviewer-administered structured questionnaire was used. The data entered into Epi data version 3.1 and exported into Statistical Package for the Social Sciences window version 24 for analysis. All variables significant at p-<0.25 in bivariate were entered into multivariate analysis. The multivariable logistic regressions were used to determine predictors' poor glycemic control by considering the Adjusted Odds Ratio at CI 95% and the significance level was set at p <0.05.

RESULTS

The magnitude of poor glycemic control was 64.1%. Being females (AOR = 1.684,95%CI = 1.066,2.662), duration of diabetes >8years (AOR = 2.552,95%CI = 1.397, 4.665), presence of diabetes complication (AOR = 2.806,95%CI = 1.594,4.941), negligence of blood glucose test at home (AOR = 1.720, 95%CI = 1.078, 2.743), poor self-care behavior (AOR = 1.787, 95%CI = 1.083,2.959) and poor self-efficacy (AOR = 1.934, 95%CI = 1.078,3.469) were significant predictors of poor glycemic control.

CONCLUSION

The proportion of poor glycemic control was high which was nearly comparable to that reported from many countries. This could be due to factors that were significantly associated with poor glycemic control like lack of home blood glucose test, increased duration of diabetes, presence of diabetes complications, poor self-efficacy, and poor self-care behaviors. Each were significant independent predictors of poor glycemic control. Thus, we recommend patients with diabetes and health care providers enhancing self-monitoring practices, and preventing potential complications should be a priority concern to improve blood glucose levels. Further studies are also recommended to explore important factors which were not identified by the current study.

Atypical Diabetes Presentations in Sub-Saharan Africa Classification Puzzle and Possible Role of Precision Medicine

Precision in the diagnosis and classification of diabetes mellitus, a complex heterogeneous disease is increasingly required to achieve treatment goals and prevent complications. Several reviews over decades have not completely solved the diabetes classification puzzle. African clinicians are sometimes confronted with the difficulty of classifying a newly diagnosed diabetes patient presenting atypically. These unusual presentations fall into those with diagnosis of either clinical type 1 or 2 diabetes but having some diagnostic and/or therapeutic features at variance with what are seen in the Western nations, those with tropical diabetes and those known as ketosis-prone type 2 diabetes (KPD). Reports from many African countries indicate that patients do not fit the classic pattern seen in the Western nations. In recent times, there has been groundswell of pressures and proposed models to evolve a more accurate classification of diabetes and the recent 2019 WHO diabetes classification seems to have acknowledged and accommodated these concerns. Perhaps advances in genomic knowledge could help with precision in diabetes classification, especially in Africa. This review seeks to highlight the challenges often encountered with classifying diabetes patients in Africa, and proffer suggestions on the way forward including possible benefit from advances in molecular genomics.

Relationship between Lipid Profiles and Glycemic Control Among Patients with Type 2 Diabetes in Qingdao, China

Glycosylated hemoglobin (HbA1c) was the best indicator of glycemic control, which did not show the dynamic relationship between glycemic control and lipid profiles. In order to guide the health management of Type 2 diabetes (T2D), we assessed the levels of lipid profiles and fasting plasma glucose (FPG) and displayed the relationship between FPG control and lipid profiles. We conducted a cross-sectional study that included 5822 participants. Descriptive statistics were conducted according to gender and glycemic status respectively. Comparisons for the control of lipid profiles were conducted according to glycemic control. Four logistic regression models were generated to analyze the relationship between lipid profiles and glycemic control according to different confounding factors. The metabolic control percentage of FPG, triglyceride (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C) was 27.50%, 73.10%, 28.10%, 64.20% and 44.80% respectively. In the fourth model with the most confounding factors, the odds ratios (ORs) and 95% confidence intervals (CIs) of TG, TC, LDL-C and HDL-C were 0.989 (0.935, 1.046), 0.862 (0.823, 0.903), 0.987 (0.920, 1.060) and 2.173 (1.761, 2.683). TC and HDL-C were statistically significant, and TG and LDL-C were not statistically significant with adjustment for different confounding factors. In conclusion, FPG was significantly associated with HDL and TC and was not associated with LDL and TG. Our findings suggested that TC and HDL should be focused on in the process of T2D health management.

Status of glycosylated hemoglobin and prediction of glycemic control among patients with insulin-treated type 2 diabetes in North China: a multicenter observational study

BACKGROUND

Blood glucose control is closely related to type 2 diabetes mellitus (T2DM) prognosis. This multicenter study aimed to investigate blood glucose control among patients with insulin-treated T2DM in North China and explore the application value of combining an elastic network (EN) with a machine-learning algorithm to predict glycemic control.

METHODS

Basic information, biochemical indices, and diabetes-related data were collected via questionnaire from 2787 consecutive participants recruited from 27 centers in six cities between January 2016 and December 2017. An EN regression was used to address variable collinearity. Then, three common machine learning algorithms (random forest [RF], support vector machine [SVM], and back propagation artificial neural network [BP-ANN]) were used to simulate and predict blood glucose status. Additionally, a stepwise logistic regression was performed to compare the machine learning models.

RESULTS

The well-controlled blood glucose rate was 45.82% in North China. The multivariable analysis found that hypertension history, atherosclerotic cardiovascular disease history, exercise, and total cholesterol were protective factors in glycosylated hemoglobin (HbA1c) control, while central adiposity, family history, T2DM duration, complications, insulin dose, blood pressure, and hypertension were risk factors for elevated HbA1c. Before the dimensional reduction in the EN, the areas under the curve of RF, SVM, and BP were 0.73, 0.61, and 0.70, respectively, while these figures increased to 0.75, 0.72, and 0.72, respectively, after dimensional reduction. Moreover, the EN and machine learning models had higher sensitivity and accuracy than the logistic regression models (the sensitivity and accuracy of logistic were 0.52 and 0.56; RF: 0.79, 0.70; SVM: 0.84, 0.73; BP-ANN: 0.78, 0.73, respectively).

CONCLUSIONS

More than half of T2DM patients in North China had poor glycemic control and were at a higher risk of developing diabetic complications. The EN and machine learning algorithms are alternative choices, in addition to the traditional logistic model, for building predictive models of blood glucose control in patients with T2DM.

Factors Associated with Poor Glycemic and Lipid Levels in Ambulatory Diabetes Mellitus Type 2 Patients in Asmara, Eritrea: A Cross-Sectional Study

OBJECTIVE

There is a dearth of relevant research on the rapidly evolving epidemic of diabetes mellitus (particularly Type 2 diabetes mellitus) in sub-Saharan Africa. To address some of these issues in the Eritrean context, we conducted a cross-sectional study on glycemic and lipid profiles and associated risk factors.

METHODS

A total of 309 patients with diabetes mellitus on regular follow-up at the Diabetic and Hypertensive Department at Halibet Regional Referral Hospital, Asmara, were enrolled for the study. Data on specific clinical chemistry and anthropomorphic parameters was collected. Chi-squared (χ ²) test or Fischer's exact test was used to evaluate the relationship between specific variables. Multivariate logistic regression (backward: conditional) was undertaken to identify the factors associated with increased odds of suboptimal values in glucose and specific lipid panel subfractions.

RESULTS

High proportions of patients (76.7%) had suboptimal levels of HbA1c with a mean ± SD of 8.6% ± 1.36, respectively. In multivariate regression analysis, the likelihood of HbA1c ≥ 7% was higher in patients with abnormal WHR (AOR = 3.01, 95% CI, 3.01 (1.15-7.92 = 0.024)) and in patients without hypertension (AOR = 1.97, 95% CI (1.06-3.56), p = 0.021). A unit reduction in eGFR was also associated with HbA1c ≥ 7% (AOR = 0.99, 95% CI (0.98-1 = 0.031)). In a separate analysis, the data shows that 80.9% of the patients had dyslipidemia. In particular, 62.1% of the patients had TC ≥ 200 mg/dL (risk factors: sex, hypertension, and HbA1c concentration), 81.6% had LDL-C ≥ 100 mg/dL (risk factors: sex and hypertension), 56.3% had TG ≥ 150 (risk factors: sex, HbA1c, and waist circumference), 62.8% had abnormal HDL-C (risk factors: waist circumference), 78.3% had non-HDL < 130 mg/dL (risk factors: duration of disease, reduced estimated glomerular filtration rate, and HbA1c), and 45.3% had abnormal TG/HDL (risk factors: sex, age of patient, FPG, and waist circumference).

CONCLUSIONS

The quality of care, as measured by glycemic and specific lipid targets, in this setting is suboptimal. Therefore, there is an urgent need for simultaneous improvements in both indicators. This will require evidence-based optimization of pharmacological and lifestyle interventions. Therefore, additional studies, preferably longitudinal studies with long follow-up, are required on multiple aspects of DM.

Cytotoxic T-lymphocyte antigen-4 +49A/G polymorphisms in Sudanese adults with type 1 diabetes and latent autoimmune diabetes

OBJECTIVES

This study was conducted to assess the association of T-lymphocyte-associated protein 4 (CTLA-4 +49A/G) variant with Latent autoimmune diabetes in adults (LADA) in Eastern Sudan. The study included 24 LADA, 240 patients with type 1 diabetes mellitus (T1DM), and 240 healthy controls. Genotyping for CTLA-4 +49A/G was done by polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP).

RESULTS

Genotypes distribution of CTLA-4 in controls was in accordance with the HWE (P > 0.05). The frequency of mutation (both homozygous and heterozygous) of CTLA-4 +49A/G (AG + GG) was significantly higher in LADA compared with T1DM and the controls [19 (79.1%) vs. 100 (41.7%) vs. 78 (32.5%), P < 0.001]. It was significantly higher when LADA was compared with T1DM [19 (79.1%) vs. 100 (41.7%), P = 0.018, OR = 3.21, 95% CI 1.16-8.89] and when LADA was compared with the controls [19 (79.1%) vs. 78 (32.5%), P = 0.001, OR = 4.49, 95% CI 1.62-12.42]. The rate of heterozygous mutation of the CTLA-4 +49A/G (AG) was significantly higher in LADA compared with T1DM and the controls [16 (66.7%) vs. 85 (35.4%) vs. 70 (29.2%), P < 0.001]. It was significantly higher when LADA was compared with T1DM [16 (66.7%) vs. 85 (35.4%), P = 0.002, OR = 3.64, 95% CI 1.49-8.87] and when LADA was compared with the controls [16 (66.6%) vs. 85 (35.4%), P = 0.001, OR = 4.85, 95% CI 1.98-11.86].

Glycemic control among diabetic patients in Ethiopia: A systematic review and meta-analysis

Introduction

Ethiopia recorded the highest numbers of people with diabetes in Africa. It is not uncommon for diabetic patients to have poor glycemic control leading to a number of complications. The aim of this systematic review and meta-analysis is to evaluate the level of glycemic control among diabetic patients in Ethiopia by combining the studies from the existing literature.

Materials and methods

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was employed to plan and conduct this review. A comprehensive electronic-based literature search was conducted in the databases of MEDLINE, HINARI, GOOGLE SCHOLAR, and SCIENCEDIRECT. Open meta-analyst software was used to perform meta-analyses. Proportions of good glycemic control among diabetic patients was calculated. Odds ratio was also calculated to check the presence of statistically significant difference in glycemic control among patients with type 1 and type 2 diabetes.

Results

A total of 22 studies were included in the final analysis. Meta-analysis of 16 studies showed that only one-third of patients [34.4% (95% CI: 27.9%-40.9%), p<0.001] achieving good glycemic control based on fasting plasma glucose measurements. Similar to the studies that used fasting plasma glucose, the rate of good glycemic control was found to be 33.2% [(95% CI: 21.8%-44.6%), p<0.001] based on glycosylated hemoglobin measurements. There was no statistically significant difference in the rates of glycemic control between patients with type 1 and type 2 diabetes (p = 0.167).

Conclusion

High proportion of diabetic patients were unable to achieve good glycemic control. There was no difference in glycemic control among type 1 and type 2 diabetic patients.

Adherence to Antidiabetic Medications Among Sudanese Individuals With Type 2 Diabetes Mellitus: A Cross-Sectional Survey

Background:

Adherence to antidiabetic medications is crucial for optimum glycemic control and decreasing complications. This study aimed to assess adherence to antidiabetic medications and the associated factors among individuals with type 2 diabetes attending Jabir Abu Eliz Diabetes Centre in Khartoum state, Sudan.

Methods:

This was a descriptive cross-sectional study, recruited 213 individuals with type 2 diabetes, and used a pretested questionnaire. Data were analyzed using the Statistical Package of Social Sciences version 21. Logistic regression analysis was used to check for factors that linked to poor adherence to diabetes medication.

Results:

The median duration of antidiabetic medications use was 8 years; 15.0% were highly adherent to diabetes medications, 44.6% were medium adherent, and 40.4% showed low adherence. Main factors and barriers were medication side effects (18.3%), use of herbal medicine (12.3%), and unavailability of medication (7%). Predictors to nonadherence were gender, and housing status (0.043 and 0.042, respectively).

Conclusion:

Level of adherence to diabetes medication was unsatisfactory as only 15% showed high adherence. Predictors of nonadherence were gender, and housing status. Effective interventions should be implemented to improve medication adherence, like appropriate patient education and involvement in the treatment plan.

Prevalence, risk factors, and glycaemic control of type 2 diabetes mellitus in eastern Sudan: a community-based study

BACKGROUND

Diabetes mellitus (DM) constitutes a global health threat and burden, especially in developing countries. We conducted a cross-sectional study in Gadarif in eastern Sudan to evaluate the prevalence and glycaemic control of patients with type 2 diabetes mellitus (T2DM).

METHODS

We performed a cross-sectional community-based study. Data on blood glucose levels, and anthropometric, demographic and clinical history data were obtained.

RESULTS

Six hundred Sudanese adults with a mean (SD) age of 44.9 (16.5) years were enrolled. More than two-thirds (70.3%) of the study participants were women. The prevalence of T2DM, newly diagnosed T2DM and uncontrolled T2DM was 20.8%, 10.0% and 80.0%, respectively. Logistic regression analysis showed no significant association between education, marital status, body mass index, waist circumference and DM. However older age (AOR = 4.88, 95% CI = 3.09-7.70) and a family history of DM (AOR = 2.58, 95% CI = 1.59-4.20) were associated with T2DM.

CONCLUSION

The prevalence of T2DM is high among the Sudanese population, especially in older people and those with a family history of DM. The high prevalence of uncontrolled DM in this setting is another hidden burden.