Predictors of glycemic control among patients with Type 2 diabetes: a longitudinal study

The unmet drug-related needs of patients with diabetes in Ethiopia: a systematic review and meta-analysis

Background

Diabetes is a major health concern globally and in Ethiopia. Ensuring optimal diabetes management through minimizing drug therapy problems is important for improving patient outcomes. However, data on the prevalence and factors associated with unmet drug-related needs in patients with diabetes in Ethiopia is limited. This systematic review and meta-analysis aims to provide a comprehensive analysis of the prevalence of unmet drug-related needs among patients with diabetes mellitus in Ethiopia.

Methods

A thorough exploration of databases, including PubMed, Scopus, Hinari, and Embase and Google Scholar, was conducted to identify pertinent studies. Inclusion criteria involved observational studies that reported the prevalence of unmet drug-related needs in Ethiopian patients with diabetes. The quality of the studies was assessed using Joanna Briggs Institute (JBI) checklists. A random-effects meta-analysis was employed to amalgamate data on study characteristics and prevalence estimates, followed by subsequent subgroup and sensitivity analyses. Graphical and statistical assessments were employed to evaluate publication bias.

Results

Analysis of twelve studies involving 4,017 patients revealed a pooled prevalence of unmet drug-related needs at 74% (95% CI 63-83%). On average, each patient had 1.45 unmet drug-related needs. The most prevalent type of unmet need was ineffective drug therapy, 35% (95% CI 20-50). Type 2 diabetes, retrospective study designs, and studies from the Harari Region were associated with a higher prevalence. Frequently reported factors associated with the unmet drug-related needs includes multiple comorbidities, older age, and polypharmacy. Notably, the results indicated significant heterogeneity (I2 = 99.0%; p value < 0.001), and Egger's regression test revealed publication bias with p<0.001.

Conclusion

The prevalence of unmet drug-related needs among diabetes patients with diabetes in Ethiopia is high with the most prevalent issue being ineffective drug therapy. Targeted interventions are needed; especially patients on multiple medications, advanced age, with comorbidities, and prolonged illness duration to improve diabetes management and outcomes.

Systematic review registration

https://www.crd.york.ac.uk/prospero, identifier CRD42024501096.

Postprandial glucose-management strategies in type 1 diabetes: Current approaches and prospects with precision medicine and artificial intelligence

Postprandial glucose control can be challenging for individuals with type 1 diabetes, and this can be attributed to many factors, including suboptimal therapy parameters (carbohydrate ratios, correction factors, basal doses) because of physiological changes, meal macronutrients and engagement in postprandial physical activity. This narrative review aims to examine the current postprandial glucose-management strategies tested in clinical trials, including adjusting therapy settings, bolusing for meal macronutrients, adjusting pre-exercise and postexercise meal boluses for postprandial physical activity, and other therapeutic options, for individuals on open-loop and closed-loop therapies. Then we discuss their challenges and future avenues. Despite advancements in insulin delivery devices such as closed-loop systems and decision-support systems, many individuals with type 1 diabetes still struggle to manage their glucose levels. The main challenge is the lack of personalized recommendations, causing suboptimal postprandial glucose control. We suggest that postprandial glucose control can be improved by (i) providing personalized recommendations for meal macronutrients and postprandial activity; (ii) including behavioural recommendations; (iii) using other personalized therapeutic approaches (e.g. glucagon-like peptide-1 receptor agonists, sodium-glucose co-transporter inhibitors, amylin analogues, inhaled insulin) in addition to insulin therapy; and (iv) integrating an interpretability report to explain to individuals about changes in treatment therapy and behavioural recommendations. In addition, we suggest a future avenue to implement precision recommendations for individuals with type 1 diabetes utilizing the potential of deep reinforcement learning and foundation models (such as GPT and BERT), employing different modalities of data including diabetes-related and external background factors (i.e. behavioural, environmental, biological and abnormal events).

Empowering patients with comorbid diabetes and hypertension through a multi-component intervention of mobile app, health coaching and shared decision-making: Protocol for an effectiveness-implementation of randomised controlled trial

INTRODUCTION

Diabetes and hypertension are prevalent and costly to the health system. We have developed a mobile app (EMPOWER app) which enables remote monitoring and education through personalised nudges. We aim to study the effectiveness of a multi-component intervention comprising the EMPOWER mobile app with health coaching and shared decision-making for diabetes and hypertension.

METHODS

We will conduct a two-arm, open-label, pragmatic randomised controlled trial (RCT). Participants with comorbid diabetes and hypertension enrolled from public primary care clinics will be randomised to either intervention or control in a 1:1 ratio. The intervention group participants will have access to health coaching with shared decision-making interventions in addition to the EMPOWER app and their usual primary care. The control group participants will continue to receive usual primary care and will neither receive the EMPOWER app nor health coaching and shared decision-making interventions. Our primary outcome is change in HbA1c level over 9 months. Secondary outcomes include change in systolic blood pressure, quality of life, patient activation, medication adherence, physical activity level, diet, and healthcare cost (direct and indirect) over 9 months.

DISCUSSION

Our trial will provide key insights into clinical- and cost-effectiveness of a multi-component intervention comprising EMPOWER mobile app, health coaching and shared decision-making in diabetes and hypertension management. This trial will also offer evidence on cost-effective and sustainable methods for promoting behavioural changes among patients with comorbid diabetes and hypertension.

TRIAL REGISTRATION

This study was registered on clintrials.gov on August 3, 2022, with the trial registration number: NCT05486390.

Risk Factors for Unfavorable Glycemic Control Trajectory in Type-2 Diabetes Mellitus: A Community-based Longitudinal Study in Urbanslums of Central India

BACKGROUND

Diabetes mellitus (DM) is a chronic disease, which requires optimal glycemic control to prevent its ensuing vascular complications. Pathway to optimal glycemic control in T2DM has a complex socio-behavioral construct, especially in vulnerable populations, like slum dwellers, who have reduced health-care access and lower prioritization of health needs.

OBJECTIVE

The study aimed to map trajectories of glycemic control amongst individuals with T2DM living in urban slums and identify key determinants associated with unfavourable glycaemic trajectory.

METHODS

This study was a community-based longitudinal study conducted in an urban slum of Bhopal in Central India. Adult patients diagnosed with T2DM and on treatment for more than one year were included. All 326 eligible participants underwent a baseline interview, which captured sociodemographic, personal behavior, medication adherence, morbidity profile, treatment modality, anthropometric and biochemical measurements (HbA1c). Another 6-month follow-up interview was conducted to record anthropometric measurements, HbA1c and treatment modality. Four mixed effect logistic regression models (through theory-driven variable selections) were created with glycemic status as dependent variable and usage of insulin was considered as random effect.

RESULTS

A total of 231 (70.9%) individuals had unfavorable glycemic control trajectory (UGCT), and only 95 (29.1%) had a favorable trajectory. Individuals with UGCT were more likely to be women, with lower educational status, non-vegetarian food preference, consumed tobacco, had poor drug adherence, and were on insulin. The most parsimonious model identified female gender (2.44,1.33-4.37), tobacco use (3.80,1.92 to 7.54), and non-vegetarian food preference (2.29,1.27 to 4.13) to be associated with UGCT. Individuals with good medication adherence (0.35,0.13 to 0.95) and higher education status (0.37,0.16 to 0.86) were found to be protective in nature.

CONCLUSION

Unfavorable glycemic control trajectory seems to be an inescapable consequence in vulnerable settings. The identified predictors through this longitudinal study may offer a cue for recognizing a rational response at societal level and adopting strategy formulation thereof.

The Use of Metformin in Overactive Bladder: A Retrospective Nested Case-control, Population-based Analysis

OBJECTIVE

To determine if metformin use is associated with a lower rate of overactive bladder (OAB) medication use. Metformin facilitates the proliferation and migration of stem cells, which have been shown to improve bladder overactivity in animal models.

METHODS

We conducted a retrospective nested case-control cohort study using population-based health-care administrative databases. Our cohort included patients with diabetes mellitus type 2 (DM2) ≥69years. Cases received a prescription for an OAB medication, matched with up to 4 controls based on age, sex, and DM2 diagnosis date. Exposure was a new prescription for metformin prior to receiving an OAB medication. Adjusted odds ratios were estimated using conditional logistic regression. Sensitivity analysis was done to assess the relationship between cumulative days' supply of metformin and use of OAB medications.

RESULTS

Within our cohort of 2,233,084 patients with DM2, there were 16,549 case subjects who received a prescription for an OAB medication, and 64,171 matched controls. We found a positive association between OAB medication use and metformin use (adjusted odds ratios=1.07, 95% CI=1.03-1.12). Summed days' supply of metformin was also associated with OAB medication use, except when summed metformin days was >2220.

CONCLUSION

Older patients with DM2 exposed to metformin had a slightly higher rate of OAB medication use, until 2220+ days' metformin supply, whereafter no association was found. This suggests no protective role for metformin in the prevention of OAB in this patient population.

Identifying Profiles of Patients With Uncontrolled Type 2 Diabetes Who Would Benefit From Referral to an Endocrinologist

OBJECTIVE

To compare the outcomes of glycemic uncontrolled diabetes mellitus type 2 patients receiving treatment from endocrinologists with those treated by primary care physicians. Additionally, this research aims to identify patient profiles that would benefit from personalized referral-a novel medical approach that aims to match the most suitable specialist for effectively managing patient while considering the patient's profile.

METHODS

This retrospective cohort study uses the Maccabi Healthcare Services diabetes registry to match 508 pairs of glycemic uncontrolled diabetes mellitus type 2 patients treated by endocrinologists (EndoG) and primary care physicians (PcPG). Using a generalized additive model, we analyzed the hemoglobin A1c (HbA1c) trend over 1 year for each group. We employed the odds ratio (OR) from conditional logistic regression to determine the likelihood of favorable outcomes in the EndoG compared to the PcPG, using the entire cohort and subcohort profiles.

RESULTS

The generalized additive model comparison indicated an improvement in HbA1c levels in both groups, with the EndoG outperforming the PcPG. Furthermore, the EndoG group had an OR = 2.27 (95% confidence interval, 1.6 to 3.2) for reducing HbA1c by at least 1% within a year and an OR = 1.68 (95% confidence interval, 1.02 to 2.76) for achieving low-density lipoprotein levels< 100 mg/dl. We identified 96 profiles with positive outcomes, all favoring treatment by endocrinologists.

CONCLUSIONS

EndoG demonstrated superior HbA1c control over time and achieved better outcomes compared to PcPG. The identification of 96 profiles benefiting from endocrinologist referral emphasizes the potential of personalized referral.

Mukattash T, Alefishat EA. Glycemic control and its associated factors among diabetic heart failure outpatients at two major hospitals in Jordan

Patients with heart failure (HF) are generally at higher risk of developing type 2 diabetes and having uncontrolled blood glucose. Furthermore, the prevalence of uncontrolled blood glucose in patients with HF is largely unknown. Identifying the factors associated with poor blood glucose control is a preliminary step in the development of effective intervention programs. The current cross-sectional study was conducted at two major hospitals to explore the factors associated with blood glucose control among patients with heart failure and type 2 diabetes. In addition to sociodemographic, medical records were used to collect medical information and a validated questionnaire was used to evaluate medication adherence. Regression analysis showed that poor medication adherence (OR = 0.432; 95%CI 0.204-0.912; P<0.05) and increased white blood cells count (OR = 1.12; 95%CI 1.033-1.213; P<0.01) were associated with poor glycemic control. For enhancing blood glucose control among patients with HF and diabetes, future intervention programs should specifically target patients who have high WBC counts and poor medication.

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.

Impact of telemedicine on glycemic control in type 2 diabetes mellitus during the COVID-19 lockdown period

BACKGROUND

The lockdown at the start of coronavirus disease 2019 (COVID-19) pandemic in Saudi Arabia (March 2020 to June 2020) shifted routine in-person care for patients with type 2 diabetes mellitus (T2DM) to telemedicine. The aim of this study was to investigate the impact telemedicine had during this period on glycemic control (HbA1c) in patients with T2DM.

METHODS

4,266 patients with T2DM were screened from five Ministry of National Guard Health Affairs hospitals in the Kingdom of Saudi Arabia. Age, gender, body mass index (BMI), HbA1c (before and after the COVID-19 lockdown), duration of T2DM, comorbidities and antidiabetic medications data were obtained. Mean and standard deviation of differences in HbA1c were calculated to assess the impact of telemedicine intervention. Correlations between clinically significant variances (when change in the level is ≥0.5%) in HbA1c with demographics and clinical characteristic data were determined using chi square test.

RESULTS

Most of the participants were Saudis (97.7%) with 59.7% female and 56.4% ≥60 years of age. Obesity was 63.8%, dyslipidemia 91%, and hypertension 70%. Mean HbA1c of all patients slightly rose from 8.52% ± 1.5% before lockdown to 8.68% ± 1.6% after lockdown. There were n=1,064 patients (24.9%) whose HbA1c decreased by ≥0.5%, n =1,574 patients whose HbA1c increased by ≥0.5% (36.9%), and n =1,628 patients whose HbA1c changed by <0.5% in either direction (38.2%). More males had significant improvements in glycemia compared to females (28.1% vs 22.8%, p<0.0001), as were individuals below the age of 60 years (28.1% vs 22.5%, p<0.0001). Hypertensive individuals were less likely than non-hypertensive to have glycemic improvement (23.7% vs 27.9%, p=0.015). More patients on sulfonylureas had improvements in HbA1c (42.3% vs 37.9%, p=0.032), whereas patients on insulin had higher HbA1c (62.7% vs 56.2%, p=0.001). HbA1c changes were independent of BMI, duration of disease, hyperlipidemia, heart and kidney diseases.

CONCLUSION

Telemedicine was helpful in delivering care to T2DM patients during COVID-19 lockdown, with 63.1% of patients maintaining HbA1c and improving glycemia. More males than females showed improvements. However, the HbA1c levels in this cohort of patients pre- and post-lockdown were unsatisfactorily high, and may be due to in part lifestyle, age, education, and hypertension.

Association between medication regimen complexity and glycemic control among patients with type 2 diabetes

INTRODUCTION

Type 2 diabetes mellitus (T2DM) and comorbid conditions require patients to take complex medication regimens. Greater regimen complexity has been associated with poorer T2DM management; however, the relationship between overall regimen complexity and glycemic control is unclear.

OBJECTIVES

Our objectives were: (1) to examine associations between regimen complexity (with the Medication Regimen Complexity Index [MRCI]) and glycemic control (A1C), and (2) to compare overall MRCI with other measures of regimen complexity (overall and diabetes-specific medication count) and diabetes-specific MRCI.

METHODS

This was a secondary data analysis of cross-sectional data from a parent trial. Participants were patients with T2DM taking at least 3 chronic medications followed in safety net clinics in the Chicago area. The MRCI measures complexity based on dosing frequency, route of administration, and special instructions for prescribed medications. MRCI scores were created for overall regimens and diabetes-specific medications. Sociodemographics and outpatient visit utilization were included in models as covariates. Linear regression was used to examine the associations between variables of interest and hemoglobin A1C.

RESULTS

Participants (N = 432) had a mean age of 56.9 years, most were female (66.0%), and Hispanic or Latino (73.3%). Regimen complexity was high based on overall medications (mean = 6.6 medications, SD: 3.09) and MRCI (mean = 21.4, SD: 11.3). Higher diabetes-specific MRCI was associated with higher A1C in bivariate and multivariable models. In multivariable models, overall MRCI greater than 14, fewer outpatient health care visits, male gender, and absence of health insurance were independently associated with higher A1C. The variance in A1C explained by MRCI was higher compared to medication count for overall and diabetes-specific regimen complexity.

CONCLUSIONS

More complex regimens are associated with worse A1C and measuring complexity with MRCI may have advantages. Deprescribing, increasing insurance coverage, and promoting engagement in health care may improve A1C among underserved populations with complex regimens.

Socio-demographic, behavioural and clinical factors influencing control of diabetes and hypertension in urban Mysore, South India: a mixed-method study conducted in 2018

Background

Inadequate control of diabetes and hypertension is a major concern in India because of rising mortality and morbidity. Few studies in India have explored factors that influence control of diabetes and hypertension. The current study aimed to improve the understanding of multifactorial influence on the control of diabetes and hypertension among patients in Primary Health Care Settings(PHC) of urban Karnataka.

Methods

We used a mixed-method study design, within a project aiming to improve non-communicable disease (NCD) continuum of care across PHC in Mysore city, India, conducted in 2018. The quantitative study was conducted among 399 patients with diabetes and/or hypertension and a logistic regression model was used to assess the factors responsible for biological control levels of diabetes and hypertension measured through Glycated Haemoglobin(HbA1c) and blood pressure. Further, in-depth interviews(IDI) were conducted among these patients and the counsellors at PHCs to understand the barriers and enablers for better control.

Result

The quantitative assessment found odds of poor control amongst diabetics’ increased with older age, longer duration of disease, additional chronic conditions, and tobacco consumption. For hypertensives, odds of poor control increased with higher body mass index(BMI), alcohol consumption, and belongingness to lower social groups. These findings were elaborated through qualitative assessment which found that the control status was affected by stress as a result of family or financial worries. Stress, poor lifestyle, and poor health-seeking behaviour interplay with other factors like diet and exercise leading to poor control of diabetes and hypertension.

Conclusion

A better understanding of determinants associated with disease control can assist in designing focused patient outreach plans, customized communication strategies, need-based care delivery plans, and specific competency-based capacity-building models for health care workers. Patient-centric care focusing on biological, social and behavioural determinants is pivotal for appropriate management of NCDs at community level in low-middle income countries.

Incidence and predictor of diabetic foot ulcer and its association with change in fasting blood sugar among diabetes mellitus patients at referral hospitals in Northwest Ethiopia, 2021

Background

Diabetes mellitus is one of the global public health problems and fasting blood sugar is an important indicator of diabetes management. Uncontrolled diabetes can lead to diabetic foot ulcers, which is a common and disabling complication. The association between fasting blood glucose level and the incidence of diabetic foot ulcers is rarely considered, and knowing its predictors is good for clinical decision-making. Therefore, the aim of this study was to determine the incidence and predictors of diabetic foot ulcers and its association with changes in fasting blood sugar among diabetes mellitus patients at referral hospitals in Northwest Ethiopia.

Methods

A multicenter retrospective follow-up study was conducted at a referral hospital in Northwest Ethiopia. A total of 539 newly diagnosed DM patients who had follow-up from 2010 to 2020 were selected using a computer-generated simple random sampling technique. Data was entered using Epi-Data 4.6 and analyzed in R software version 4.1. A Cox proportional hazard with a linear mixed effect model was jointly modeled and 95% Cl was used to select significant variables. AIC and BIC were used for model comparison.

Result

A total of 539 diabetes patients were followed for a total of 28727.53 person-month observations. Overall, 65 (12.1%) patients developed diabetic foot ulcers with incidence rate of 2.26/1000-person month observation with a 95% CI of [1.77, 2.88]. Being rural (AHR = 2.30, 95%CI: [1.23, 4.29]), being a DM patient with Diabetic Neuropathy (AHR = 2.61, 95%CI: [1.12, 6.06]), and having peripheral arterial disease(PAD) (AHR = 2.96, 95%CI: [1.37, 6.40]) were significant predictors of DFU. The time-dependent lagged value of fasting blood sugar change was significantly associated to the incident of DFU (α = 1.85, AHR = 6.35, 95%CI [2.40, 16.79]).

Conclusion and recommendation

In this study, the incidence of DFU was higher than in previous studies and was influenced by multiple factors like rural residence, having neuropathy, and PAD were significant predictors of the incidence of DFU. In addition, longitudinal changes in fasting blood sugar were associated with an increased risk of DFU. Health professionals and DM patients should give greater attention to the identified risk factors for DFU were recommended.

Correlates of Glycemic Control Among Patients With Type 2 Diabetes in Eastern Ethiopia: A Hospital-Based Cross-Sectional Study

Introduction

Even though optimal blood glucose control reduces the risk of diabetes-related complications, many patients with type 2 diabetes (T2D) fail to achieve it for a variety of reasons. In the study area, there was a paucity of evidence regarding correlates of glycemic control. Therefore, this study aimed to find out the correlates of glycemic control among patients with T2D in Eastern Ethiopia.

Methods

A cross-sectional study was conducted among 879 adult patients with T2D on follow-up at two public hospitals in Harar. Data were collected through interviews, physical measurements, and record reviews. The level of glycemic control was determined from three consecutive fasting plasma glucose (FPG) measurements. A mean value of FPG measurements falling in the normal range (80-130 mg/dl) was considered as optimal glycemic control; otherwise, a mean FPG level that is below or above the normal range (<80 mg/dl or >130 mg/dl) was defined as suboptimal glycemic control. Descriptive statistics were used to summarize the data, while a linear regression model was used to find out the correlates of glycemic control. A beta coefficient and a 95% CI reported associations. The statistical significance was declared at a p-value ≤0.05.

Results

The mean age of the patients with T2D was 52.7 ( ± 13.3) years. The mean FPG level was 172 ± 56 mg/dl. Suboptimal glycemic control was found in 76% (95% CI: 73.41, 79.04) of patients with T2D. In a multivariable linear regression, khat chewing (β = 6.12; 95% CI: 1.55, 8.69), triglycerides (β = 0.56; 95% CI: 0.41.48, 0.65), comorbidity (β = 5.29; 95% CI: 1.39, 9.13), and poor level of self-care practices (β = 5.43; 95% CI: 1.41, 6.46) showed a significant correlation with glycemic control.

Conclusions

This study found that about three-fourths of patients with T2D had suboptimal glycemic control. Khat chewing, comorbidity, and poor level of self-care practices were independently correlated with glycemic control. Thus, suppressing glycemic levels through appropriate treatment and strict diabetes self-care practices including avoidance of Khat chewing is a useful approach to attaining glycemic target that subsequently reduces cardiovascular risks.

High atherogenic risk concomitant with elevated HbA1c among persons with type 2 diabetes mellitus in North Ethiopia

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a chronic disease associated with worse clinical presentation. However, the current investigation practices in Ethiopia have limitations to demonstrate the scope of the clinical burden. Hence, this study was aimed at assessing the glycemic status and coronary heart disease (CHD) risk of persons with T2DM using HbA1c and atherogenic index of plasma (AIP).

METHOD

This institution-based cross-sectional study was conducted among 421 adults with T2DM from September to November 2019. Demographic, socioeconomic, and lifestyle data were collected through a face-to-face interview. Clinical information was retrieved from medical records whereas anthropometric and biochemical measurements were performed using the WHO protocols. Glycemic status was determined using HbA1c and CHD risk assessed using an atherogenic index of plasma (AIP). Gaussian variables were expressed using mean and standard deviation (SD), Log-normal variables using geometric mean and 95% CI and non- Gaussian variables using median and interquartile ranges. Categorical variables were summarized using absolute frequencies and percentages. Multivariable logistic regression was used to identify factors associated with glycemic control with a statistical significance set at 5%.

RESULT

A total of 195 male and 226 female subjects were involved in this study. The results demonstrated that 77% (324) had HbA1c value ≥7% and 87.2% (367) had high atherogenic risk for CHD. Besides, 57% and 67.9% of persons with T2DM had metabolic syndrome according to International Diabetes Federation (IDF) and the National Cholesterol Education Program-Adult treatment panel III (NCEP-ATP III) criteria, respectively. About 36.8% had one or more comorbidities. Having healthy eating behavior [AOR 1.95; CI 1.11-3.43] and taking metformin [AOR 4.88; CI 1.91-12.44] were associated with better glycemic outcomes.

CONCLUSION

High AIP level concomitant with poor glycemic control indicates increased risk for coronary heart disease among persons with T2DM in Northern Ethiopia.

Efficacy of iGlarLixi in adults with type 2 diabetes inadequately controlled (glycated haemoglobin ≥8%, ≥64 mmol/mol) on two oral antidiabetes drugs: Post hoc analysis of the LixiLan-O randomized trial

AIMS

To assess the efficacy and safety of iGlarLixi (the titratable fixed-ratio combination of insulin glargine 100 U/mL [iGlar] plus lixisenatide [Lixi]), in adults with type 2 diabetes (T2D) with glycated haemoglobin (HbA1c) levels ≥8% (≥64 mmol/mol).

MATERIALS AND METHODS

The LixiLan-O study (NCT02058147) compared iGlarLixi with iGlar or Lixi in adults with T2D inadequately controlled on metformin ± a second oral antidiabetes drug (OAD). This exploratory analysis evaluated the LixiLan-O subgroup of participants with baseline HbA1c levels of ≥8% (≥64 mmol/mol) who were receiving metformin plus a second OAD at screening.

RESULTS

The mean diabetes duration was 10.0 years, and the mean duration of second OAD use was 4.5 years. iGlarLixi demonstrated greater mean reductions from baseline in HbA1c and 2-hour postprandial glucose (PPG) compared with iGlar or Lixi (HbA1c -1.9% vs. -1.6% or -1.0% [-20 vs. -17 or -10 mmol/mol; 2-hour PPG -7.2 vs. -4.6 or -5.5 mmol/L). Greater proportions of participants achieved HbA1c <7% (<53 mmol/mol) with iGlarLixi versus iGlar or Lixi (67% vs. 51% or 18%), and the composite endpoints of HbA1c <7% (<53 mmol/mol) with no body weight gain (36% vs. 19% or 16%), and HbA1c <7% (<53 mmol/mol) with no body weight gain and no documented symptomatic hypoglycaemia (plasma glucose ≤3.9 mmol/L; 28% vs. 15% or 15%). The incidence rates of documented symptomatic hypoglycaemia were 29.0%, 27.9% and 12.1% for iGlarLixi, iGlar and Lixi, respectively.

CONCLUSIONS

Adults with T2D and HbA1c ≥64 mmol/mol (≥8%) despite two OADs at screening achieved better glycaemic control with iGlarLixi versus iGlar or Lixi, without increased risk of hypoglycaemia versus iGlar.

Predictors of poor glycemic control among type 2 diabetes mellitus patients treated with antidiabetic medications: A cross-sectional study in China

This study aimed to clarify of the predictors of poor glycemic control in type 2 diabetes mellitus (T2DM) patients treated with antidiabetic medications in China.This study was a retrospective, cross-sectional study based on SuValue database. T2DM patients aged 18 years or older performing glycosylated hemoglobin A1c (HbA1c) examinations from January 1st, 2018 to December 31st, 2018 were included and have been treated with antidiabetic medications for at least 6 months. HbA1c < 7.0% was defined as adequate glycemic control. Multivariate analysis was performed for the factors associated with poor glycemic control.A total of 13972 T2DM patients were included in this study. The adequate glycemic control rate was 44.04% (n = 6153). In the multivariate analysis, predictors of poor glycemic control include longer T2DM duration (5-10 years vs <5 years and >10 years vs <5 years, odds ratio [OR] = 1.499 and 1.581, P < .001 and P = .008), myocardial infarction (OR = 1.141, P = .041), diabetic neuropathy (OR = 1.409, P < .001), secondary hospital (OR = 1.877, P < .001), underdeveloped regions (OR = 1.786, P < .001), insulin only (OR = 3.912, P < .001), combination of oral antidiabetic agents and/or insulin use (P < .001).In conclusion, longer T2DM duration, secondary hospital, myocardial infarction, diabetic neuropathy, undeveloped regions and use of polypharmacy and insulin were associated with poor glycemic control among T2DM patients treated with antidiabetic medications. Patient education and training of health care providers may be short-term strategy to achieve adequate glycemic control.

Evaluation of Turkey diabetes self-management education in geriatrics with type 2 diabetes

BACKGROUND

This study was conducted to evaluate the diabetes education efficiency of individuals over 65 years old in Turkey, which has the highest prevalence of diabetes in Europe.

METHODS

We retrospectively evaluated 320 patients who attended Turkey diabetes self-management group education program (TDSMEP) between 2016 and 2020 in a secondary hospital. Participants who have been followed up for a maximum of 9 months are grouped as over 65 years old and under.

RESULTS

Of the 320 patients, 114 formed the geriatric group and 206 the non-geriatric group. After the training, the number of patients who had HbA1c ≤7% increased significantly in both the geriatric (28.1%-45.6%) and non-geriatric (19.9%-42.2%) (p = 0.001) groups. After the training, similar HbA1c goals were achieved in the geriatric and non-geriatric groups. The most significant HbA1c decrease was observed at the 3rd month of follow-up and remained stable until the 9th month. In logistic regression analysis, the factors affecting HbA1c failure (HbA1c >7%) after training in the geriatric group were long diabetes duration (OR = 1.07, 95% CI = 1.02-1.13, p = 0.01), high basal HbA1c levels (OR = 1.31, 95% CI = 1.03-1.67, p = 0.03), and low education level (OR = 3.88, 95% CI = 1.54-9.76, p = 0.001).

CONCLUSIONS

This is the first study to evaluate the effectiveness of TDSMEP for geriatric individuals whose HbA1c ≤7% increased from 28% to 45.6% during follow-up after the training. TDSMEP is recommended for all adult age groups, regardless of age range.

Sociodemographic and clinical predictors of refractory type 2 diabetes patients: Findings from a case-control study

OBJECTIVES

To identify the sociodemographic and clinical predictors of uncontrolled diabetic patients, to identify high-risk and people with impaired glycemic control, to establish more effective strategies for reducing morbidity and mortality.

METHODS

This case-control study of 8209 enrolled patients were included from the diabetes registry by Chronic Illness Center (CIC), Family and Community Medicin, Prince Sultan Military Medical City, Riyadh Saudi Arabia between February 2019 and February 2020. Cases are defined as patients with type II refractory diabetes having persistent HbA1c >9, not reach adequate glycemic control despite intensified therapy under specialist care (CIC) for at least 6 months. Controls were defined as patients with Hba1c ≤9. Multivariable regression analysis was used to identify predictors for patients with the persistent outcome of HbA1c >9%.

RESULTS

Overall, a total of 1152 cases and 4555 controls were included. Patients with refractory diabetes were younger (mean: 58.5, standard deviation [SD]: 11.7) and females (63.4%). Duration of diabetes (13.3, SD: 7.4, p<0.001) and the mean value of low-density lipoprotein (LDL) (2.7, SD: 0.91, p<0.001) were significantly higher in the refractory group. The findings from the final model revealed that with every unit increase in age (odds ratio [OR]: 0.97, [95% confidence interval [CI]: 0.96-0.98]) and body mass index the odds of having refractory diabetes significantly reduced by 0.97 times (OR: 0.97, [95% CI: 0.95-0.99]). While with every unit increase in the duration of diabetes (OR: 1.03, [95% CI: 1.01-1.05]), systolic blood pressure (OR: 1.01, [95% CI: 1.00-1.02]) and LDL (OR: 1.42, [95% CI: 1.23-.62]) the odds of having refractory diabetes significantly increased by 1.03 and 1.42 times respectively compared to controls when adjusted for gender, albumin creatinine, diastolic blood pressure.

CONCLUSION

The findings from this study helped classify the predictors of refractory patients with diabetes. Understanding refractory patients' predictors may help to develop new therapeutic strategies to boost their glycemic status safely.

Predictors of blood glucose change and vascular complication of type 2 diabetes mellitus patients in Felege Hiwot Referral Hospital, North West Ethiopia

Vascular complication results in serious physical damages which may lead to the death of Type 2 diabetes mellitus patients. Studying the determinant factors of changes in blood glucose level and duration of time to the development of vascular complications helps to save the lives of citizens. A retrospective cohort study was conducted among type 2 diabetes mellitus (T2DM) patients enrolled between December 2011 and December 2012 at Felege Hiwot Referral Hospital. A total of 159 T2DM patients were included in the study. Joint modelling of longitudinal and survival analysis was employed to identify predictors of Blood Glucose Change and Vascular Complication of Type 2 Diabetes Mellitus Patients. The prevalence of vascular complication in Type 2 diabetes patients was 23.3%. Half of these patients developed an avascular complication after 24 months from the onset of the follow-up. The significant predictors of shorter time to development of vascular complication were positive proteinuria (adjusted hazard ratio (AHR) = 1.62, CI: 1.08-2.41), increase in the level of serum creatinine (AHR = 4.12, CI: 1.94-8.74), cholesterol ≥ 200 mg/dl (AHR = 1.54, CI: 1.01-2.35), and log (fasting blood glucose) (AHR = 1.453, CI: 1.004-2.104). The predictors of progression of fasting blood glucose were duration of treatment (CL: - 0.015, - 0.0001), hypertension (CL: 0.018, 0.098), baseline fasting blood glucose level 126-139 and 140-199 mg/dl (CI: - 0.40, - 0.31) and (CI: - 0.24, - 0.17), respectively. Male T2DM patients, patients with more visits to the hospital and patients who required one oral agent had a relatively lower progression of blood sugar level. Type 2 diabetes mellitus patients having higher cholesterol level, positive proteinuria, higher fasting blood sugar and a lesser number of hospital visits had a higher risk of developing a complication.

Hydro-alcoholic extract of Morus nigra reduces fasting blood glucose and HbA1c% in diabetic patients, probably via competitive and allosteric interaction with alpha-glucosidase enzyme; a clinical trial and in silico analysis

OBJECTIVES

1-Deoxynojirimycin (1-DNJ), the main active component found in Morus nigra (black mulberry) is reported to be effective in controlling diabetes. We have evaluated the effect of hydro-alcoholic extract of M. nigra leaves on the fasting blood glucose (FBS) and hemoglobin A1c% (HbA1c%) in diabetic patients. Furthermore, we compared the interaction of 1-DNJ and glucose molecules with the alpha-glucosidase enzyme, which has a critical role in the lysis of glucose-based polymers in human cells.

METHODS

4% hydro-alcoholic extract was prepared from black mulberry leaves. Patients in treatment (n=50) and control (n=50) groups received 3 mL extract or placebo in water, respectively, and three times a day. Fasting blood glucose and HbA1c% were evaluated before and after three months of evaluation. Potential binding sites of 1-DNJ or glucose on the enzyme glucosidase found by docking study. Docking scores were obtained using an energy minimization method by Molegro Virtual Docker software. The Mean ± SD of each variable was compared between groups at the 95% significant level.

RESULTS

Age mean ± SD was equal to 54.79 ± 9.203 (38-69) years. There was no significant difference between intervention and placebo groups considering FBS (p=0.633) but was for HbA1c% (p=0.0011), before treatment. After three months, both FBS and HbA1c% were significantly reduced in patients under mulberry leaves extract-treatment. FBS changed was from 182.23 ± 38.65 to 161.23 ± 22.14 mg/dL in treatment group (p<0.001) and from 178.45 ± 39.46 to 166.23 ± 29.64 mg/dL in control group (p<0.001). HbA1c was changed from 7.23 ± 0.25 to 6.13 ± 0.61% in treatment group (p<0.001) and from 7.65 ± 0.85 to 7.12 ± 0.33% in control group (p=0.854). Docking results showed that 1-DNJ binds more efficiently, and with a significant score than glucose, to human alpha-glucosidase.

CONCLUSIONS

This clinical trial and virtual analysis showed that a hydro-alcoholic extract of black mulberry (M. nigra) leaf may be efficient in reducing the blood glucose and HbA1c% in diabetic patients. Furthermore, docking studies propose a competitive and allosteric regulation for herbal ingredients. Drug-development could be based on the presented idea in this report.

Predictors of treatment failure during the first year in newly diagnosed type 2 diabetes patients: a retrospective, observational study

Background

Diabetes patients who fail to achieve early glycemic control may increase the future risk of complications and mortality. The aim of the study was to identify factors that predict treatment failure (TF) during the first year in adults with newly diagnosed type 2 diabetes mellitus (T2DM).

Methods

This retrospective cohort study conducted at a medical center in Taiwan enrolled 4,282 eligible patients with newly diagnosed T2DM between 2002 and 2017. Data were collected from electronic medical records. TF was defined as the HbA1c value >7% at the end of 1-year observation. A subgroup analysis of 2,392 patients with baseline HbA1c ≥8% was performed. Multivariable logistic regression analysis using backward elimination was applied to establish prediction models.

Results

Of all study participants, 1,439 (33.6%) were classified as TF during the first year. For every 1% increase in baseline HbA1c, the risk of TF was 1.17 (95% CI 1.15–1.20) times higher. Patients with baseline HbA1c ≥8% had a higher rate of TF than those with HbA1c <8% (42.0 vs 23.0%, p < 0.001). Medication adherence, self-monitoring of blood glucose (SMBG), regular exercise, gender (men), non-insulin treatment, and enrollment during 2010–2017 predicted a significant lower risk of TF in both of the primary and subgroup models.

Conclusions

Newly diagnosed diabetes patients with baseline HbA1c ≥8% did have a much higher rate of TF during the first year. Subgroup analysis for them highlights the important predictors of TF, including medication adherence, performing SMBG, regular exercise, and gender, in achieving glycemic control.

Factors affecting achievement of glycemic targets among type 2 diabetes patients in South Asia: Analysis of the CARRS trial

OBJECTIVE

To assess the predictors of achieving and maintaining guideline-recommended glycemic control in people with poorly controlled type 2 diabetes.

METHODS

We analyzed data from the Centre for Cardiometabolic Risk Reduction in South Asia (CARRS) Trial (n = 1146), to identify groups that achieved guideline-recommended glycemic control (HbA1c < 7%) and those that remained persistently poorly controlled (HbA1c > 9%) over a median of 28 months of follow-up. We used generalized estimation equations (GEE) analysis for each outcome i.e. achieving guideline-recommended control and persistently poorly controlled and constructed four regression models (demographics, disease-related, self-care, and other risk factors) separately to identify predictors of HbA1c < 7% and HbA1c > 9% at the end of the trial, adjusting for trial group assignment and site.

RESULTS

In the final multivariate model, adherence to prescribed medications (RR: 1.46, 95%CI: 1.09, 1.95), adherence to diet plans (RR: 1.79, 95% CI: 1.43, 2.23) and middle-aged: 50-64 years (RR: 1.32; 95% CI: 1.02-1.71) were associated with achieving guideline-recommended control (HbA1c < 7%). Presence of microvascular complications (RR: 0.70; 95%CI: 0.53-0.92) reduced the probability of achieving guideline-recommended glycemic control (HbA1c 7%). Further, longer duration of diabetes (>15 years), RR: 1.41; 95% CI: 1.15, 1.72, hyperlipidemia, RR: 1.19; 95% CI: 1.06, 1.34 and younger age group (35-49 years vs. >64 years: RR: 0.61; 95% CI: 0.47-0.79) were associated with persistently poor glycemic control (HbA1c > 9%).

CONCLUSION

To achieve and maintain guideline-recommended glycemic control, care delivery models must put additional emphasis and effort on patients with longer disease duration, younger people and those having microvascular complications and hyperlipidemia.

Glycated Hemoglobin and Blood Pressure Levels in Adults With Type 2 Diabetes: How Many Patients Are on Target?

OBJECTIVES

Achieving glycated hemoglobin (A1C) and blood pressure targets is an important strategy for preventing chronic vascular complications in diabetes. Our aim in this study was to determine the proportion of type 2 diabetes patients who meet the recommended A1C and arterial blood pressure targets and to identify the determinants of failure to do so.

METHODS

A cross-sectional study was conducted in an outpatient endocrine clinic at a university hospital. The A1C goal was 7% in general and 8% for patients with advanced chronic complications. Regarding blood pressure, the overall expected target was 140/90 mmHg.

RESULTS

A total of 602 type 2 diabetes patients were analyzed: 62% were female, 14% self-reported as black, mean age was 63±11 years, mean diabetes duration was 17±9 years and median A1C was 8.0% (interquartile range, 7.0% to 9.5%). Macrovascular disease was present in 33% of the patients, diabetic retinopathy in 47%, peripheral neuropathy in 43% and diabetic kidney disease in 56%. Regarding metabolic control, 403 (67%) patients were not at the adjusted target A1C level, and being female, black, young and an insulin user were the main determinants of poor glycemic control. Regarding blood pressure, 348 (58%) patients were not at the recommended targets, and a more advanced age was the main associated factor.

CONCLUSIONS

Because more than half of type 2 diabetes outpatients do not meet the recommended A1C and blood pressure target values, there is a major call to overcome the therapeutic inertia and target treatment of patients on an individual basis.

A 2-Hour Diabetes Self-Management Education Program for Patients With Low Socioeconomic Status Improves Short-Term Glycemic Control

Diabetes self-management education (DSME) improves glycemic control, but patients with low socioeconomic status face institutional and personal barriers to receiving DSME. A retrospective single cohort study of a 2-hour group DSME program prioritizing accessibility and completion of a tightly focused curriculum was performed to determine if glycemic control improved and whether a longer, more comprehensive, prospective evaluation of the program is indicated. All patients who participated in the program from September 2017 to December 2018 were included in the analysis. The primary study endpoint was change in hemoglobin A1c (HbA1c) from baseline. A total of 58 out of 94 patients (61.7%) had paired measurements of HbA1c. Mean HbA1c improved from 9.8% ± 2.2% (83.5 ± 24.2 mmol/mol) to 8.3% ± 2.0% (67.7 ± 22.0 mmol/mol) at a median of 4 months after participation in the program (P<0.001). The proportion of patients with any improvement in HbA1c was 75.9% (44 of 58; P=0.003), and 65.5% of patients (38 of 58; P=0.066) had an improvement in HbA1c of ≥0.5%. These results demonstrate the benefit of highly targeted DSME for low-income patients and justify a longer-term and prospective evaluation of the program.

Functional imaging of mitochondria in retinal diseases using flavoprotein fluorescence

Mitochondria are critical for cellular energy production and homeostasis. Oxidative stress and associated mitochondrial dysfunction are integral components of the pathophysiology of retinal diseases, including diabetic retinopathy (DR), age-related macular degeneration, and glaucoma. Within mitochondria, flavoproteins are oxidized and reduced and emit a green autofluorescence when oxidized following blue light excitation. Recently, a noninvasive imaging device was developed to measure retinal flavoprotein fluorescence (FPF). Thus, oxidized FPF can act as a biomarker of mitochondrial dysfunction. This review article describes the literature surrounding mitochondrial FPF imaging in retinal disease. The authors describe the role of mitochondrial dysfunction in retinal diseases, experiments using FPF as a marker of mitochondrial dysfunction in vitro, the three generations of retinal FPF imaging devices, and the peer-reviewed publications that have examined FPF imaging in patients. Finally, the authors report their own study findings. Goals were to establish normative reference levels for FPF intensity and heterogeneity in healthy eyes, to compare between healthy eyes and eyes with diabetes and DR, and to compare across stages of DR. The authors present methods to calculate a patient's expected FPF values using baseline characteristics. FPF intensity and heterogeneity were elevated in diabetic eyes compared to age-matched control eyes, and in proliferative DR compared to diabetic eyes without retinopathy. In diabetic eyes, higher FPF heterogeneity was associated with poorer visual acuity. In conclusion, while current retinal imaging modalities frequently focus on structural features, functional mitochondrial imaging shows promise as a metabolically targeted tool to evaluate retinal disease.

Effect of socioeconomic deprivation on outcomes of diabetes complications in patients with type 2 diabetes mellitus: a nationwide population-based cohort study of South Korea

INTRODUCTION

This study aimed to examine the effect of socioeconomic deprivation on the outcomes of diabetes complications in patients with type 2 diabetes mellitus (T2DM).

RESEARCH DESIGN AND METHODS

We conducted a cohort study using claims data and 2005 national census data. We included of 7510 patients newly diagnosed with T2DM from 2004 to 2012 and aged 40 years or above. We excluded participants who had onset of diabetes complications and hospitalization within 1 year after initial onset T2DM, aged less than 40 years and with missing covariates. We used the regional socioeconomic deprivation index and classified study participants into five categories according to the quintile distribution. We calculated the adjusted HR and 95% CI for hospitalization related to diabetes complications and all-cause mortality by applying Cox proportional hazards model and the adjusted subdistribution hazards model.

RESULTS

The percentages of participants in the first quintile (least deprived) to fifth quintile (most deprived) were 27.0%, 27.9%, 19.5%, 14.8%, and 10.8% for socioeconomic deprivation; 25.4%, 28.8%, 32.4%, 34.6%, and 37.6% for hospitalization due to diabetes complications; 1.3%, 2.1%, 2.5%, 2.9%, and 3.6% for deaths from diabetes complications; and 5.7%, 7.2%, 9.7%, 9.7%, and 13.1% for deaths from all causes, respectively. Participants with higher socioeconomic deprivation had a higher HR for hospitalization and mortality from all-cause and diabetes complications. These associations were the strongest among men and participants in their 40s in hospitalization related to diabetes complications, 50s in diabetes complications-specific mortality and 50s and 60s in all-cause mortality.

CONCLUSIONS

Patients with T2DM with high socioeconomic deprivation had higher hospital admission and mortality rates for diabetes complications than those with low deprivation. We cannot fully explain the effect of socioeconomic deprivation on diabetes outcomes. Therefore, further studies are needed in order to find underlying mechanisms for these associations.

Relative Contribution of Individual, Community, and Health System Factors on Glycemic Control Among Inner-City African Americans with Type 2 Diabetes

BACKGROUND

Health disparities disproportionately impact inner-city African Americans; however, limited information exists on the contribution of individual, community, and health system barriers on diabetes outcomes in this population.

METHODS

A cross-sectional study collected primary data from 241 inner-city African Americans with type 2 diabetes. A conceptual framework was used to specify measurements across the individual level, such as age and comorbidities; community level, such as neighborhood factors and support; and health system level such as access, trust, and provider communication. Based on current best practices, four regression approaches were used: sequential, stepwise with forward selection, stepwise with backward selection, and all possible subsets. Variables were entered in blocks based on the theoretical framework in the order of individual, community, and health system factors and regressed against HbA1c.

RESULTS

In the final adjusted model across all four approaches, individual-level factors like age (β = - 0.05; p < 0.001); having 1-3 comorbidities (β = - 2.03; p < 0.05), and having 4-9 comorbidities (β = - 2.49; p = 0.001) were associated with poorer glycemic control. Similarly, male sex (β = 0.58; p < 0.05), being married (β = 1.16; p = 0.001), and being overweight/obese (β = 1.25; p < 0.01) were associated with better glycemic control. Community and health system-level factors were not significantly associated with glycemic control.

CONCLUSION

Individual-level factors are key drivers of glycemic control among inner-city African Americans. These factors should be the key targets for interventions to improve glycemic control in this population. However, community and health system factors may have indirect pathways to glycemic control that should be examined in future studies.

Determinants of glycemic control: Phase 2 analysis from nationwide diabetes report of National Program for Prevention and Control of Diabetes (NPPCD-2018)

BACKGROUND

Diabetes is one of the leading causes of morbidity and mortality worldwide, especially among middle and low income nations. Many diabetic complications and comorbidities are attributable to poor glycemic control. The aim of this study was to update and extend the national diabetes reports on the status of comorbidities, diabetes care and complications in Iran. Moreover, we investigated the risk factors of poor glycemic control in the Iranian population.

METHODS

National database of 99,651 patients with diabetes who attended university-affiliated clinics between April 1, 2017 and February 30, 2018 was used to carry out a cross-sectional study. Stepwise backward selection logistic regression model was used to examine the associated factors of glycemic control.

RESULTS

In this study 73.0% and 56.5% of the enrolled population with diabetes, had hypertension and hyperlipidemia, respectively. The prevalence of patients who received education for nutrition therapy or diabetes self-management was 16.3% and 23.3% respectively. Poor glycemic control was associated with male gender (OR=1.06, p=0.001), obesity (OR=1.03, p=0.05), duration of diabetes (OR=1.018, p<0.001), smoking (OR=1.08, p=0.041), hypertension (OR=1.53, p<0.001), hyperlipidemia (OR=1.15, p<0.001), insulin therapy (OR=1.26, p<0.001) and combination of insulin and oral anti-diabetic agents compared to oral anti-diabetic agents alone (OR=2.36, p<0.001).

CONCLUSION

We demonstrated that the prevalence of diabetes comorbidities is high in Iranian population and that a great proportion of Iranian patients with diabetes had not reached the goal of glycemic control. Our findings provide a starting point from which to investigate the obstacles that prevent patients with diabetes from reaching metabolic targets.

Neighborhood Environment Characteristics and Control of Hypertension and Diabetes in a Primary Care Patient Sample

BACKGROUND

Hypertension control and diabetes control are important for reducing cardiovascular disease burden. A growing body of research suggests an association between neighborhood environment and hypertension or diabetes control among patients engaged in clinical care.

OBJECTIVE

To investigate whether neighborhood conditions (i.e., healthy food availability, socioeconomic status (SES), and crime) were associated with hypertension and diabetes control.

DESIGN

Cross-sectional analyses using electronic medical record (EMR) data, U.S. Census data, and secondary data characterizing neighborhood food environments. Multivariate logistic regression analyses adjusted for potential confounders. Analyses were conducted in 2017.

PARTICIPANTS

Five thousand nine hundred seventy adults receiving primary care at three Baltimore City clinics in 2010-2011.

MAIN MEASURES

Census tract-level neighborhood healthy food availability, neighborhood SES, and neighborhood crime. Hypertension control defined as systolic blood pressure < 140 mmHg and diastolic blood pressure < 90 mmHg. Diabetes control defined as HgbA1c < 7.

KEY RESULTS

Among patients with hypertension, neighborhood conditions were not associated with lower odds of blood pressure control after accounting for patient and physician characteristics. However, among patients with diabetes, in fully adjusted models accounting for patient and physician characteristics, we found that patients residing in neighborhoods with low and moderate SES had reduced odds of diabetes control (OR = 0.74 (95% CI = 0.57-0.97) and OR = 0.75 (95% CI = 0.57-0.98), respectively) compared to those living in high-SES neighborhoods.

CONCLUSIONS

Neighborhood disadvantage may contribute to poor diabetes control among patients in clinical care. Community-based chronic disease care management strategies to improve diabetes control may be optimally effective if they also address neighborhood SES among patients engaged in care.

Younger age negatively impacts depression-associated exacerbation of hemoglobin A1c levels in type 2 diabetes: Implications for intervention

Adults with type 2 diabetes (T2DM) and depression are associated with higher hemoglobin A_1C (HbA_1C ) compared to their nondepressed counterparts. Little is known about related clinical and demographic components contributing to these differences. We examined differences in HbA_1C between adults who have T2DM with and without major depression. T tests and chi-square analyses measured differences in HbA_1C and clinical/demographic variables. HbA_1C was statistically higher in depressed participants compared to nondepressed participants. The difference was no longer statistically significant after controlling for age. Age and HbA_1C were negatively correlated across the sample and were still correlated in each group independently. The interaction of age and HbA_1C was moderated by depression status. Additionally, mechanisms for diabetes severity differences were assessed using moderation analyses and Blinder-Oaxaca decomposition technique. Seventy-four percent of the mean outcome HbA_1C difference between depressed and nondepressed diabetic participants was explained by age. Furthermore, age was negatively correlated with clinical variables, such as diastolic blood pressure and cholesterol. Comparing age to smoking and nonsmoking participants, smokers were statistically younger. Younger adults with T2DM may require more attention regarding self-management, particularly in the context of depression. Depression should be screened and treated among individuals with diabetes since this exacerbates diabetes severity.

Sedentary Behavior and Prevalent Diabetes in 6,166 Older Women: The Objective Physical Activity and Cardiovascular Health Study

BACKGROUND

We examined associations of sedentary time and sedentary accumulation patterns (ie, how sedentary time is accumulated) with prevalent diabetes in an ethnically diverse cohort of older women.

METHODS

Community-dwelling women aged 63-99 (n = 6,116; median age = 79) wore ActiGraph GT3X+ accelerometers 24 h/day for up to 7 days from which we derived average daily sedentary time and three measures of sedentary accumulation patterns: breaks in sedentary time, usual sedentary bout duration, and alpha. Odds ratios (ORs) and 95% confidence intervals (CIs) for prevalent diabetes were estimated using multivariable logistic regression.

RESULTS

Twenty-one percent (n = 1,282) of participants had diabetes. Women in the highest quartile of sedentary time (≥10.3 h/day) had higher odds of diabetes (OR = 2.18; 95% CI = 1.77-2.70) than women in the lowest quartile (≤8.3 h/day). Prolonged accumulation patterns (ie, accumulating sedentary time in longer sedentary bouts) was associated with higher odds of diabetes than regularly interrupted patterns (comparing quartiles with the most vs least prolonged patterns: usual bout duration OR = 1.57, 95% CI = 1.28-1.92; alpha OR = 1.61, 95% CI = 1.32-1.97); however, there was no significant association for breaks in sedentary time (OR = 1.00, 95% CI = 0.82-1.20).

CONCLUSIONS

High levels of sedentary time and accumulating it in prolonged patterns were associated with increased odds of diabetes among older women.

Challenges And Factors Associated With Poor Glycemic Control Among Type 2 Diabetes Mellitus Patients At Nekemte Referral Hospital, Western Ethiopia

Background

Diabetes is increasing at an alarming rate throughout the world, and ~80% of diabetics live in developing countries. Similar to the rest of sub-Saharan African countries, Ethiopia is experiencing a significant burden of diabetes, with increased prevalence, complications, and mortality, as well as life threatening disabilities. Reasons for poor glycemic control among type 2 diabetes patients are complex and multivariable. Hence, this study aimed to identify challenges and factors associated with poor glycemic control among type 2 diabetes patients.

Method

A hospital-based cross-sectional study was conducted among type 2 diabetic patients attending the diabetic clinic of Nekemte Referral Hospital (NRH) from February 1 to April 30, 2018. Fasting blood glucose levels of the last three clinic visits were obtained and the mean fasting blood glucose measurement was used to determine the level of glycemic control. Analysis included both descriptive and inferential statistics with SPSS version 20.0. Predictor variable P<0.05 was considered statistically significant.

Results

Out of the total 228 included type 2 diabetes mellitus (DM) patients, 51.8% were males. The mean age of patients was 43±12.4 years and 154 (67.5%) were found to not be following their general dietary program correctly. Nearly one third, 73 (32%), of patients never attended diabetic education and 52 (22.8%) of the patients had greater than 10 years’ duration on treatment. The majority, 148 (64.9%), of patients had poor blood glucose control. Age 40–60 years (AOR=2.01, 95% CI=0.04–0.06, P=0.044), being illiterate (AOR=3.12, 95% CI=1.52–8.50, P=0.001), having informal education only (AOR=2.28, 95% CI=2.14–32.60, P=0.024), longer duration of diabetes treatment (>10 years) (AOR=3.94, 95% CI=1.51–27.83, P=0.012), inadequate physical exercise (AOR=3.19, 95% CI=1.05–19.84, P=0.019), and smoking (AOR=4.51, 95% CI=0.00–0.50, P=0.022) were independent predictors of poor glycemic control on multivariable logistic regression analysis.

Conclusion

Nearly two-thirds of patients had poorly controlled diabetes. Age, exercise, level of education, duration of the treatment, and smoking were significantly associated with poor glycemic control. Health facilities should provide continuous education, and barriers of glycemic control should be explored with further research.

Appropriateness of insulin commencement and adequacy of glycemic control among ambulatory patients with type 2 diabetes in Ethiopia

Background

Knowing when to start insulin is central to optimal management of Type 2 diabetes mellitus (T2DM) but a real clinical challenge. Poor glycemic control is critical for development of the deadly diabetic complications.

Objective

The aim of the study was to assess the appropriateness of insulin commencement, adequacy of glycemic control and associated factors among patients with T2DM.

Settings

The study was conducted at three public hospitals in Southwest Ethiopia.

Methods

Cross sectional study was conducted using structured questionnaire and data abstraction format. All patients with T2DM who were available during the data collection period and fulfilling study criteria were included.

Main outcome measure

Multivariable binary logistic regression analysis was done for identifying factors associated with poor glycemic control by taking statistical significance at p value ≤0.05.

Results

One hundred sixty nine patient data was considered for analysis. Insulin was initiated in 28 patients, but only 10(35.7%) insulin commencements were appropriate. More than two third (70.4%) of the studied population had poor glycemic control. Addition of second antidiabetic medication (Adjusted Odds Ratio (AOR) = 2.5, 95% CI = 1.3-6.2) and living in urban areas (AOR = 2.5, 95% CI = 1.1-5.7) were associated with poor glycemic control while having regular diabetic care follow up of every >1 month (AOR = 0.4, 95% CI = 0.2-0.9) was negatively associated with poor glycemic control.

Conclusions

About two third of insulin commencements were inappropriate and majority of patients could not stay on optimal glycemic control. Addition of second antidiabetic medication and living in urban areas were found to be associated with poor glycemic control.

Impact of findings on practice statements

• Initiation of insulin before optimization of oral agents increase cost of care.• Proper titration of the first oral agent is important prior to adding other antidiabetic agents.• Emphasis should be given to improve glycemic control, and hence halt subsequent complications.

Relationships of coronary culprit-plaque characteristics with duration of diabetes mellitus in acute myocardial infarction: an intravascular optical coherence tomography study

Background

Diabetes mellitus (DM) or pre-diabetes status is closely associated with features of vulnerable coronary lesions in patients with stable coronary heart disease or acute coronary syndrome. However, the association between duration of diabetes and the morphologies and features of vulnerable plaques has not been fully investigated in patients with acute myocardial infarction (AMI).

Methods

We enrolled a total of 279 patients who presented with AMI between March 2017 and March 2019 and underwent pre-intervention optical coherence tomography imaging of culprit lesions. Patients with DM were divided into two subgroups: a Short-DM group with DM duration of < 10 years and a Long-DM group with DM duration of ≥ 10 years. Baseline clinical data and culprit-plaque characteristics were compared between patients without DM (the non-DM group), those in the Short-DM group, and those in the Long-DM group.

Results

Patients with DM represented 34.1% of the study population (95 patients). The Short- and Long-DM groups included 64 (67.4%) and 31 patients (32.6%), respectively. Glycated hemoglobin A1c (HbA1c) levels were significantly higher in the Long-DM group than the Non- or Short-DM groups (8.4% [Long-DM] versus 5.7% [Non-DM] and 7.6% [Short-DM], P < 0.001). In addition, the highest prevalence of lipid-rich plaques, thin-cap fibroatheroma (TCFA), and plaque ruptures of culprit lesions were observed in the Long-DM group (lipid-rich plaques: 80.6% [Long-DM] versus 52.2% [Non-DM] and 62.5% [Short-DM], P = 0.007; TCFA: 41.9% [Long-DM] versus 19.6% [Non-DM] and 31.3% [Short-DM], P = 0.012; plaque rupture: 74.2% [Long-DM] versus 46.7% [Non-DM] and 48.4% [Short-DM], P = 0.017). The frequency of calcification was significantly higher among patients with DM than among those without (62.1% versus 46.2%, P = 0.016); however, no significant differences were found between the DM subgroups (61.3% [Long-DM] versus 62.5% [Short-DM], P = 0.999).

Conclusions

Increased duration of DM combined with higher HbA1c levels influences culprit-plaque characteristics in patients with DM who suffer AMI. These findings might account for the higher risks of cardiac death in DM patients with long disease duration.

Trial registration This study is registered at clinicaltrials.gov as NCT03593928

Determinants of poor glycemic control among adult patients with type 2 diabetes mellitus in Jimma University Medical Center, Jimma zone, south west Ethiopia: a case control study

OBJECTIVE AND BACKGROUND

In 2015 approximately 5.0 million people were estimated to have died from diabetes. Poor glycemic control is the most determinant of diabetes-related complication and death. The percentage of patients whose blood glucose level are not well controlled remains high yet. The aim of this study is to identify the determinants of poor glycemic control at the diabetes clinic of the Jimma University Medical Center from April 01 to June 30/2017.

METHODS

Facility-based case-control study design was conducted on patients with type 2 diabetes mellitus on follow-up at the diabetes clinic of Jimma University medical center. The consecutive sampling technique was employed and data were collected from April to June 2017. The data were entered using Epidata manager version 4.0.2 and exported to SPSS Version 21 for analysis. Logistic regression analysis was performed and variables with the p-value of less than 0.05 were considered as statistically significant determinants of poor glycemic control.

RESULT

The study was conducted on 410 patients, of which 228 males and 182 females. The determinants of poor glycemic control were comorbidities [Adjusted odd ratio(AOR) = 2.56, 95%CI = 1.10-5.96], lack of self-monitoring blood glucose [AOR = 3.44,95%CI = 1.33-8.94], total cholesterol level of 200 mg/dl or more [AOR = 3.62, 95%CI = 1.46-8.97], diabetes duration of greater than 7 years [AOR = 3.08, 95%CI = 1.33-7.16], physical activity of three or less than three days [AOR = 4.79, 95%CI = 1.70-13.53], waist to hip ratio of 0.9 or greater for male and 0.85 or greater for female [AOR = 3.52, 95%CI = 1.23-10.11], being on metformin plus insulin [AOR = 9.22, 95%CI = 2.90-29.35] and being on insulin [AOR = 4.48, 95%CI = 1.52-13.16].

CONCLUSION

Lack of Self-monitoring blood glucose, presence of comorbidities, duration of diabetes mellitus, physical activity of three or less than three days, total cholesterol of 200 mg/dl or more, waist to hip ratio of 0.9 or greater for male and 0.85 or greater for female, and types of antidiabetic medication were the independent predictors of poor glycemic control. Effort should be made towards reducing these factors by the concerned body.

Clinical factors associated with persistently poor diabetes control in the Veterans Health Administration: A nationwide cohort study

OBJECTIVE

Patients with persistent poorly-controlled diabetes mellitus (PPDM) despite engagement in clinic-based care are at particularly high risk for diabetes complications and costs. Understanding this population's demographics, comorbidities and care utilization could guide strategies to address PPDM. We characterized factors associated with PPDM in a large sample of Veterans with type 2 diabetes.

METHODS

We identified a cohort of Veterans with medically treated type 2 diabetes, who received Veterans Health Administration primary care during fiscal years 2012 and 2013. PPDM was defined by hemoglobin A1c levels uniformly >8.5% during fiscal year (FY) 2012, despite engagement with care during this period. We used FY 2012 demographic, comorbidity and medication data to describe PPDM in relation to better-controlled diabetes patients and created multivariable models to examine associations between clinical factors and PPDM. We also constructed multivariable models to explore the association between PPDM and FY 2013 care utilization.

RESULTS

In our cohort of diabetes patients (n = 435,820), 12% met criteria for PPDM. Patients with PPDM were younger than better-controlled patients, less often married, and more often Black/African-American and Hispanic or Latino/Latina. Of included comorbidities, only retinopathy (OR 1.68, 95% confidence interval (CI): 1.63,1.73) and nephropathy (OR 1.26, 95% CI: 1.19,1.34) demonstrated clinically significant associations with PPDM. Complex insulin regimens such as premixed (OR 10.80, 95% CI: 10.11,11.54) and prandial-containing regimens (OR 18.74, 95% CI: 17.73,19.81) were strongly associated with PPDM. Patients with PPDM had higher care utilization, particularly endocrinology care (RR 3.56, 95% CI: 3.47,3.66); although only 26.4% of patients saw endocrinology overall.

CONCLUSION

PPDM is strongly associated with complex diabetes regimens, although heterogeneity in care utilization exists. While there is evidence of underutilization, inadequacy of available care may also contribute to PPDM. Our findings should inform tailored approaches to meet the needs of PPDM, who are among the highest-risk, highest-cost patients with diabetes.

Current Smoking: An Independent Predictor of Elevated A1C in Persons With Type 2 Diabetes

Purpose

The purpose of this study is to examine the association of current smoking as one of several potential predictors of elevated A1C in adults with type 2 diabetes (T2D).

Methods

Using a cross-sectional design, baseline data (N = 282) were analyzed from a randomized clinical trial examining treatment of obstructive sleep apnea in persons with T2D. Sociodemographic, clinical, and behavioral data were collected using questionnaires and physical examinations. Physical activity (mean daily steps walked) was measured with the BodyMedia Armband. Participants were asked if they never smoked, had previously smoked, or currently smoke. The sample distributions of demographic and clinical characteristics were examined using descriptive statistics. Continuous variables were described using means and standard deviations; categorical variables were described as numbers and percentages. Multiple linear regression analysis with backward selection was conducted to develop a parsimonious predictive model for the dependent variable A1C.

Results

Participants were generally middle-aged and, on average, obese with suboptimal blood glucose control; almost 1 of every 5 participants currently smoked. After controlling for age, race, education, financial difficulty, diabetes education, physical activity, and diabetes knowledge, 4 variables were found in the final model to be independently associated with higher A1C: (1) current smoking status, (2) younger age, (3) longer diabetes duration, and (4) higher diabetes-related distress.

Conclusions

The study found that not only is smoking prevalent among persons with T2D with self-reported sleep problems but smoking is also an independent predictor of elevated A1C. The results highlight the vital role diabetes educators have in promoting risk reduction through education and support for smoking cessation.

Determinants of glycemic control among diabetes mellitus patients in a tertiary clinic in Gaborone, Botswana: findings and implications

BACKGROUND AND AIMS

Glycemic control among patients with diabetes mellitus is associated with a marked reduction of both macrovascular and microvascular complications; however, glycemic control remains an elusive goal worldwide. The aim of this study was to determine factors associated with glycemic control among patients attending a tertiary clinic in Botswana as limited information to date.

METHODS

Cross-sectional study in a tertiary clinic in Gaborone, Botswana. Patients were recruited between 21 July 2015 and 21 September 2015. The majority of the randomly recruited patients (368/380-96.8%) had documentation of glycemic control (HbA1c) within three months of study recruitment and were subsequently included in the analysis. Glycemic control was categorized as desirable, suboptimal and poor if HbA1c was <7%, 7-9% and >9%, respectively. Data were analyzed using SPSS for descriptive statistics including both bivariate and multinomial logistic regression. A value of p < 0.05 was considered statistically significant.

RESULTS

The analyzed study population consisted of 258/368 (70.1%) females with a mean age (SD) of 56.7 ± 13.6 years. Means (SDs) for diabetes duration and glycated hemoglobin were 7.2 ± 7.1 years and 7.97 ± 2.02%, respectively. Of the 368 patients, 136 (36.95%) and 132/368 (35.86%) had desirable and suboptimal glycemic control, respectively. Older age, attending the clinic for more or equal to 3 years and not being on insulin were associated with both desirable and suboptimal glycemic control whereas duration of diabetes between 5 and 10 years was associated with poor glycemic control.

CONCLUSIONS

The majority of patients had poor glycemic control. Older age and not being on insulin were associated with better glycemic control. The fact that patients on insulin had poor glycemic control calls for more research to determine the timing of insulin initiations and dosing schedule factors as these will help to improve overall glycemic control in Botswana and elsewhere.

The Status of Metabolic Control in Patients With Type 2 Diabetes Attending Dasman Diabetes Institute, Kuwait

Purpose: To evaluate metabolic control in patients with type 2 diabetes at Dasman Diabetes Institute (DDI, Kuwait), a specialist diabetes clinic and research center, and to investigate its association with patient demographics and clinical characteristics. Methods: Data from 963 patients with type 2 diabetes were retrospectively collected from the Knowledge Based Health Records maintained at DDI for patients who attended DDI during 2011-2014. The collected data included patient demographics, clinical characteristics, and anti-diabetic medications. Student's t-test was used to evaluate the differences in mean values between poor and good glycemic control groups. Categorical variables were assessed using chi-square analysis with Fisher's exact test for small data sets. Results: The patients' mean age was 53.0 ± 9.5 years with equal number of males and females. Females (34.4 ± 7.2 kg/m²) had a higher mean body mass index than males (32.1 ± 6.4 kg/m²). The mean fasting blood glucose and HbA1c levels were 9.6 ± 3.8 mmol/L and 8.5 ± 1.8%, respectively. Dyslipidemia (46%) and hypertension (40%) were the most common comorbidities, whereas nephropathy (36%) and neuropathy (35%) were the most common diabetic complications. The most commonly used anti-diabetic medication was metformin (55%). Factors significantly associated with poor glycemic control (HbA1c level ≥ 7%) included insulin use; neuropathy or foot ulcers as diabetic complications; and elevated systolic blood pressure and total cholesterol, low-density lipoprotein (LDL) cholesterol, triglycerides, and fasting blood glucose levels. Factors significantly associated with good glycemic control included metformin use and elevated high-density lipoprotein cholesterol level. The proportion of patients with good glycemic control (HbA1c level < 7%) was 29.5%. A large proportion of the patients with poor glycemic control were only administered monotherapy drugs, and two-thirds of the patients were obese. Further, the American Diabetes Association (ADA) recommendations for blood pressure and LDL cholesterol level were met (62 and 63%, respectively) by follow-up year 4. Conclusion: The therapeutic management of type 2 diabetes in Kuwait is suboptimal. Therapeutic strategies should ensure better adherence to ADA guidelines, evaluate the high obesity rates, and adherence to lifestyle recommendations by patients, and continually promote diabetes education and self-empowerment.

Treatment Costs and Factors Associated with Glycemic Control among Patients with Diabetes in the United Arab Emirates

Background

We aimed to estimate the proportion of patients with diabetes who achieved target glycemic control, to estimate diabetes-related costs attributable to poor control, and to identify factors associated with them in the United Arab Emirates.

Methods

This retrospective cohort study used administrative claims data handled by Abu Dhabi Health Authority (January 2010 to June 2012) to determine glycemic control and diabetes-related treatment costs. A total of 4,058 patients were matched using propensity scores to eliminate selection bias between patients with glycosylated hemoglobin (HbA1c) <7% and HbA1c ≥7%. Diabetes-related costs attributable to poor control were estimated using a recycled prediction method. Factors associated with glycemic control were investigated using logistic regression and factors associated with these costs were identified using a generalized linear model.

Results

During the 1-year follow-up period, 46.6% of the patients achieved HbA1c <7%. Older age, female sex, better insurance coverage, non-use of insulin in the index diagnosis month, and non-use of antidiabetic medications during the follow-up period were significantly associated with improved glycemic control. The mean diabetes-related annual costs were $2,282 and $2,667 for patients with and without glycemic control, respectively, and the cost attributable to poor glycemic control was $172 (95% confidence interval [CI], $164–180). The diabetes-related costs were lower with mean HbA1c levels <7% (cost ratio, 0.94; 95% CI, 0.88–0.99). The costs were significantly higher in patients aged ≥65 years than those aged ≤44 years (cost ratio, 1.45; 95% CI, 1.25–1.70).

Conclusion

More than 50% of patients with diabetes had poorly controlled HbA1c. Poor glycemic control may increase diabetes-related costs.

Using the extended self-regulatory model to characterise diabetes medication adherence: a cross-sectional study

OBJECTIVES

To cluster the adherence behaviours of patients with type 2 diabetes based on their beliefs in medicines and illness perceptions and examine the psychosocial, clinical and sociodemographic characteristics of patient clusters.

DESIGN

Cross-sectional study.

SETTING

A face-to-face survey was administered to patients at two family medicine clinics in the Midwest, USA.

PARTICIPANTS

One hundred and seventy-four ≥20-year-old, English-speaking adult patients with type 2 diabetes who were prescribed at least one oral diabetes medicine daily were recruited using convenience sampling.

PRIMARY AND SECONDARY OUTCOME MEASURES

Beliefs in medicines and illness perceptions were assessed using the Beliefs about Medicines Questionnaire and the Brief Illness Perception Questionnaire, respectively. Self-reported medication adherence was assessed using the Morisky Medication Adherence Scale. Psychosocial correlates of adherence, health literacy and self-efficacy were measured using the Newest Vital Sign and the Self-efficacy for Appropriate Medication Use, respectively. Two-step cluster analysis was used to classify patients.

RESULTS

Participants' mean age was 58.74 (SD=12.84). The majority were women (57.5%). Four clusters were formed (non-adherent clusters: ambivalent and sceptical; adherent clusters: indifferent and accepting). The ambivalent cluster (n=30, 17.2%) included low-adherent patients with high necessity beliefs, high concern beliefs and high illness perceptions. The sceptical cluster (n=53, 30.5%) included low adherent patients with low necessity beliefs but high concern beliefs and high illness perceptions. Both the accepting (n=40, 23.0%) and indifferent (n=51, 29.3%) clusters were composed of patients with high adherence. Significant differences between the ambivalent, sceptical, accepting and indifferent adherent clusters were based on self-efficacy, illness perception domains (treatment control and coherence) and haemoglobin A1c (p<0.01).

CONCLUSIONS

Patients with diabetes in specific non-adherent and adherent clusters still have distinct beliefs as well as psychosocial characteristics that may help providers target tailored medication adherence interventions.

Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes

OBJECTIVE

Metformin is the preferred first-line medication for management of type 2 diabetes and prediabetes. However, over a third of patients experience primary or secondary therapeutic failure. We developed machine learning models to predict which patients initially prescribed metformin will achieve and maintain control of their blood glucose after one year of therapy.

MATERIALS AND METHODS

We performed a retrospective analysis of administrative claims data for 12,147 commercially-insured adults and Medicare Advantage beneficiaries with prediabetes or diabetes. Several machine learning models were trained using variables available at the time of metformin initiation to predict achievement and maintenance of hemoglobin A_1c (HbA_1c) < 7.0% after one year of therapy.

RESULTS

AUC performances based on five-fold cross-validation ranged from 0.58 to 0.75. The most influential variables driving the predictions were baseline HbA_1c, starting metformin dosage, and presence of diabetes with complications.

CONCLUSIONS

Machine learning models can effectively predict primary or secondary metformin treatment failure within one year. This information can help identify effective individualized treatment strategies. Most of the implemented models outperformed traditional logistic regression, highlighting the potential for applying machine learning to problems in medicine.

Longitudinal trends in HbA1c patterns and association with outcomes: A systematic review

BACKGROUND

This study aimed to review studies that identified patterns of longitudinal HbA1c trends in patients with diabetes and to summarize factors and outcomes associated with distinct trajectory patterns.

METHODS

PubMed and Web of Science were systematically searched for studies examining HbA1c trends among patients with diabetes from database inception through September 2017. Articles were included if they met the following inclusion criteria: (a) longitudinal study of subjects with diabetes only, (b) use of serial measurements of HbA1c , and (c) analysis of the trend of HbA1c using group-based trajectory approaches.

RESULTS

Twenty studies were included, 11 on type 1 diabetes and 9 on type 2 diabetes. These studies identified 2 to 6 HbA1c trajectory patterns. The most commonly identified patterns included stable HbA1c around 7.0% and at levels between 8.0% and 9.9%, which usually captured the HbA1c pattern among the majority of subjects in the study population. Unstable patterns identified included increasing HbA1c trend, decreasing HbA1c trend, and non-linear patterns. These patterns were associated with differential risk of disease outcomes, over and beyond single-point HbA1c measures. Age, gender, ethnicity, diabetes duration, disease management frequency, cardiovascular risk factors, insulin treatment, family environment, and psychosocial factors were the most frequently reported factors associated with membership of specific HbA1c pattern groups.

CONCLUSION

Common patterns of longitudinal HbA1c trends were identified despite heterogeneity among the studies. A better understanding of what underlies these different patterns may provide opportunities to tailor therapies and care for these patients to reduce adverse outcomes.

Race analysis in an African American sample with serious mental illness and comorbid diabetes

OBJECTIVES

Targeted Training in Illness Management (TTIM) focuses on enhancing care engagement for people living with serious mental illness and diabetes. This secondary analysis from a 60-week, randomized controlled trial of TTIM versus treatment as usual evaluated racial subgroup outcomes.

METHOD

Demographics, clinical characteristics, and diabetes status were evaluated for those self-identifying as non-Hispanic White, African American, and Hispanic. Longitudinal response to TTIM was evaluated using a multiple domain risk index. Due to their small sample size; those identifying as Hispanic were excluded from this analysis.

RESULTS

Non-Hispanic White participants had greater baseline socioeconomic advantages. Baseline risk scores, glycosylated hemoglobin (HbA1c) values, and HbA1c differences over time were similar for African American and non-Hispanic White participants.

CONCLUSIONS AND IMPLICATIONS FOR PRACTICE

African American participants living with serious mental illness and diabetes receiving TTIM did as well as non-Hispanic White participants. Inclusive approaches that feature peer support and are situated in safety-net health care settings need to be further investigated with respect to potentially impacting health disparities. (PsycINFO Database Record

Factors that Correlate with Poor Glycemic Control in Type 2 Diabetes Mellitus Patients with Complications

Objectives

Inadequate glycemic control amongst patients with Type 2 diabetes mellitus (T2DM) indicates a major public health problem and a significant risk factor for the progression and complications caused by diabetes. Glycemic control is the main therapeutic objective for the prevention of organ damage and other complications arising from diabetes.

Methods

This was a retrospective observational study of T2DM patients with complications, who were aged 40 years and older. The study was conducted retrospectively on medical records (in-patient and out-patient) obtained from a South Indian teaching hospital, Manipal, India. The patients included in the study had fasting blood sugar, postprandial blood sugar and HbA1c measured at least twice during follow-ups the previous year. Patients' HbA1c levels were categorized into good control ≤7% (≤53mmol/mol), and poor control >7% (>53mmol/mol), and patients' characteristics were analyzed.

Results

A total of 657 patients were included in the study. The mean age was 59.67 (SD = 9.617) years, with 152 (23.1%) females and 505 (76.9%) males, and 514 (78.2%) patients had poor glycemic control. Most of the patients were on insulin mono-therapy [n = 271 (42.1%)], about a third of the patients were on combination therapy that included an oral hypoglycemic agent and insulin [n = 236 (36.6%)]. Patients with a history of more than 10 years of diabetes [n = 293 (44.6%)], had a family history of diabetes [n = 256 (39%)] and obesity [n = 95 (14.5%)], all had poor glycemic control.

Conclusion

This present study indicated a significant association of gender (female), age, high-density lipoprotein level, duration of diabetes and type of medication, with poor glycemic control in T2DM patients that had secondary medical complications.

Association of Self-Reported Dietary and Drug Compliance with Optimal Metabolic Control in Patients with Type 2 Diabetes: Clinic-Based Single-Center Study in a Developing Country

Introduction

Influence of dietary and drug compliance of patients with diabetes on attainment of optimal metabolic (glucose and lipid) control remains underexplored in developing countries.

Materials and methods

Self-reported dietary and drug compliance score of 0–10, glycosylated hemoglobin (HbA1c), and low-density lipoprotein (LDL) levels were obtained from patients with diabetes. HbA1c <7% and LDL <100 mg/dL were used to define optimal glucose and lipid control, respectively. Proportions achieving each and both optimal parameters were estimated. Regression analysis was used to study the association of age, gender, age of onset and the duration of diabetes, self-reported dietary, and drug compliance scores with achievement of both parameters.

Results

Mean (SD) age and duration of diabetes of 207 patients were 55 (10) and 10 (03) years. Optimal glucose and LDL control were achieved by 30% and 62%, and 23% had achieved both. Regression analysis revealed significant association of self-reported high dietary compliance with achievement of both targets.

Conclusions

Findings highlight the suboptimal glucose and lipid control among patients with diabetes. Significant association of better dietary compliance with control of both parameters emphasizes the value of proper dietary adherence in achieving the optimal metabolic control among patients with diabetes.

Glycemic control and its associated factors among diabetes mellitus patients at Ayder comprehensive specialized hospital, Mekelle-Ethiopia

Diabetes is one of the largest health emergencies of the twenty-first century and it is increasing with alarming rate throughout the world. Glycemic Control in diabetes patients is an important issue in minimizing diabetes related complications and deaths. Institution based comparative cross-sectional study was conducted from March to April, 2017. Glycated Hemoglobin A1c and biochemical profiles were determined using Huma Meter A1c and ABX PENTRA 400 clinical chemistry analyzer. Independent t-test to compare groups, bivariate and multi variable logistic regression analysis were used. A P-value <0.05 was considered as statistically significance. A total of 336 study participants were enrolled in this study. Overall, 208(61.9%) of the study participants had poor glycemic control. The poor glycemic control was significantly higher in glucometer non-users 120(71.4%) compared to glucometer users 88(52.4%) (P < 0.001). Income, the number of visits, high-triglyceride, high low-density lipoprotein and non-glucometer use were significantly associated with the poor glycemic control.

Magnitude of glycemic control and its associated factors among patients with type 2 diabetes at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia

Back ground

Diabetes is increasing at an alarming rate throughout the world and about 80% of diabetic cases live in low and middle income countries. Glycemic control is the most important predictor for diabetic related complications and deaths. Identifying factors associated with glycemic control help health care providers and patients to work in the areas that reduce risks of diabetic related complications and deaths.

Objectives

The aim of this study is to assess the magnitude and factors associated with glycemic control among type 2 diabetic patients at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia.

Methods

Hospital-based cross sectional study was conducted on 412 type 2 diabetic patients who were attending in diabetic clinics at Tikur Anbessa Specialized Hospital. Data were collected through structured interview questionnaire, and data abstraction format to collect information from each patient’s medical records from March to April, 2015. Data were entered and analyzed using SPSS version 20 statistical software. Both descriptive and inferential statistics were used to determine magnitude of glycemic control and factors associated with poor glycemic control.

Result

Median age of participants was 52 years old (IQR = 40–60 years old). From the study participants,51.7% were females. Median duration of living with diabetes since diagnosis was 10 years (IQR: 5–16 years). About 80% of the respondents had uncontrolled fasting blood glucose level. The factors which are significantly associated with poor glycemic control were longer duration of diabetes (AOR = 2.72 95%CI:1.16–6.32), and being on insulin therapy (AOR = 3.01 95% CI: 1.5–5.9).

Conclusion

A high proportion of patients had poor glycemic control. Longer duration of the disease, and being on drug regimen of insulin were associated with poor glycemic control. Appropriate attention should be given to patients with longer duration of disease and those who are on insulin therapy.