Disparities in HbA1c levels between African-American and non-Hispanic white adults with diabetes: a meta-analysis

Exosomal miRNAs and isomiRs: potential biomarkers for type 2 diabetes mellitus

Type 2 diabetes mellitus (T2DM) is a metabolic disease that is characterized by chronic hyperglycaemia. MicroRNAs (miRNAs) are single-stranded, small non-coding RNAs that play important roles in post-transcriptional gene regulation. They are negative regulators of their target messenger RNAs (mRNAs), in which they bind either to inhibit mRNA translation, or to induce mRNA decay. Similar to proteins, miRNAs exist in different isoforms (isomiRs). miRNAs and isomiRs are selectively loaded into small extracellular vesicles, such as the exosomes, to protect them from RNase degradation. In T2DM, exosomal miRNAs produced by different cell types are transported among the primary sites of insulin action. These interorgan crosstalk regulate various T2DM-associated pathways such as adipocyte inflammation, insulin signalling, and β cells dysfunction among many others. In this review, we first focus on the mechanism of exosome biogenesis, followed by miRNA biogenesis and isomiR formation. Next, we discuss the roles of exosomal miRNAs and isomiRs in the development of T2DM and provide evidence from clinical studies to support their potential roles as T2DM biomarkers. Lastly, we highlight the use of exosomal miRNAs and isomiRs in personalized medicine, as well as addressing the current challenges and future opportunities in this field. This review summarizes how research on exosomal miRNAs and isomiRs has developed from the very basic to clinical applications, with the goal of advancing towards the era of personalized medicine.

Workplace Exposures Vary Across Neighborhoods in the US: Implications on Social Vulnerability and Racial/Ethnic Health Disparities

Ignoring workplace exposures that occur beyond the local residential context in place-based risk indices like the CDC's Social Vulnerability Index (SVI) likely misclassifies community exposure by under-counting risks and obscuring true drivers of racial/ethnic health disparities. To investigate this hypothesis, we developed several place-based indicators of occupational exposure and examined their relationships with race/ethnicity, SVI, and health inequities. We used publicly available job exposure matrices and employment estimates from the United States (US) Census to create and map six indicators of occupational hazards for every census tract in the US. We characterized census tracts with high workplace-low SVI scores. We used natural cubic splines to examine tract level associations between the percentage of racial/ethnic minorities (individuals who are not non-Hispanic White) and the occupational indicators. Lastly, we stratified each census tract into high/low occupational noise, chemical pollutant, and disease/infection exposure to examine racial/ethnic health disparities to diabetes, asthma, and high blood pressure, respectively, as a consequence of occupational exposure inequities. Our results show that racial/ethnic minority communities, particularly those that are also low-income, experience a disproportionate burden of workplace exposures that may be contributing to racial/ethnic health disparities. When composite risk measures, such as SVI, are calculated using only information from the local residential neighborhood, they may systematically under-count occupational risks experienced by the most vulnerable communities. There is a need to consider the role of occupational justice on nationwide, racial/ethnic health disparities.

Ethnic Disparities in the Risk Factors, Morbidity, and Mortality of Cardiovascular Disease in People With Diabetes

Cardiovascular disease (CVD) is the leading cause of death in people with diabetes. Compared with European Americans, African Americans have more favorable lipid profiles, as indicated by higher high-density lipoprotein cholesterol, lower triglycerides, and less dense low-density lipoprotein particles. The less atherogenic lipid profile translates to lower incidence and prevalence of CVD in African Americans with diabetes, despite higher rates of hypertension and obesity. However, African Americans with CVD experience worse clinical outcomes, including higher mortality, compared with European Americans. This mini-review summarizes the epidemiology, pathophysiology, mechanisms, and management of CVD in people with diabetes, focusing on possible factors underlying the "African American CVD paradox" (lower CVD incidence/prevalence but worse outcomes). Although the reasons for the disparities in CVD outcomes remain to be fully elucidated, we present a critical appraisal of the roles of suboptimal control of risk factors, inequities in care delivery, several biological factors, and psychosocial stress. We identify gaps in current knowledge and propose areas for future investigation.

Assessing Glycosylated Hemoglobin Thresholds for Development of Cardiovascular Disease by Racial and Ethnic Groups

BACKGROUND

Diabetes is the strongest risk factor for cardiovascular disease, and although glycosylated hemoglobin (HbA1c) levels are known to vary by race, no racial and ethnic-specific diagnostic thresholds exist for diabetes in prediction of cardiovascular disease events. The purpose of this study is to determine whether HbA1c thresholds for predicting major adverse cardiovascular events (MACEs) differ among racial and ethnic groups.

METHODS AND RESULTS

This is a retrospective cohort study of Kaiser Permanente Northern California adult members (n=309 636) with no history of cardiovascular disease who had HbA1c values and race and ethnicity data available between 2014 and 2019. Multivariable logistic regression was used to evaluate the odds of MACEs by the following racial and ethnic groups: Filipino, South Asian, East Asian, Black, White, and Hispanic. A Youden index was used to calculate HbA1c thresholds for MACE prediction by each racial and ethnic group, stratified by sex. Among studied racial and ethnic groups, South Asian race was associated with the greatest odds of MACEs (1.641 [95% CI, 1.456-1.843]; P<0.0001). HbA1c was a positive predictor for MACEs, with an odds ratio of 1.024 (95% CI, 1.022-1.025) for each 0.1% increment increase in HbA1c. HbA1c values varied between 6.0% and 7.6% in MACE prediction by race and ethnicity and sex. White individuals, South Asian individuals, East Asian women, and Black men had HbA1c thresholds for MACE prediction in the prediabetic range, between 6.0% and 6.2%. Black women, Hispanic men, and East Asian men had HbA1c thresholds of 6.2% to 6.6%, less than the typical threshold of 7.0% that is used as a treatment goal.

CONCLUSIONS

Findings suggest that the use of race and ethnic- and sex-specific HbA1c thresholds may need to be considered in treatment goals and cardiovascular disease risk estimation.

The Impact of Prescription Drug Coverage on Disparities in Adherence and Medication Use: A Systematic Review

Prescription drug cost-sharing is a barrier to medication adherence, particularly for low-income and minority populations. In this systematic review, we examined the impact of prescription drug cost-sharing and policies to reduce cost-sharing on racial/ethnic and income disparities in medication utilization. We screened 2,145 titles and abstracts and identified 19 peer-reviewed papers that examined the interaction between cost-sharing and racial/ethnic and income disparities in medication adherence or utilization. We found weak but inconsistent evidence that lower cost-sharing is associated with reduced disparities in adherence and utilization, but studies consistently found that significant disparities remained even after adjusting for differences in cost-sharing across individuals. Study designs varied in their ability to measure the causal effect of policy or cost-sharing changes on disparities, and a wide range of policies were examined across studies. Further research is needed to identify the types of policies that are best suited to reduce disparities in medication adherence.

Clinically significant macular edema in an underserved population: Association with demographic factors and hemoglobin A1c

SIGNIFICANCE

Suspected clinically significant macular edema (SCSME) from exudates differed among ethnic groups in our underserved population. African American and Asian subjects had higher prevalence than Hispanics and non-Hispanic Caucasians, from the same clinics. Men had higher prevalence than women. Highly elevated blood glucose was frequent and associated with SCSME.

PURPOSE

We investigated the association between the presence of SCSME from exudates and hemoglobin A1c (HbA1c), as well as demographic factors such as age, sex, and ethnic group. Our population was underserved diabetic patients from the same geographic locations. Ethnic groups were White Hispanic, non-Hispanic Caucasian, African American, and Asian, with a high proportion of underrepresented minorities.

METHODS

In a diabetic retinopathy screening study at four community clinics in Alameda County, California, nonmydriatic 45° color fundus images were collected from underserved diabetic subjects following the EyePACS imaging protocol. Images were analyzed for SCSME from exudates by two certified graders. Logistic regression assessed the association between SCSME from exudates and age, sex, ethnic group, and HbA1c.

RESULTS

Of 1997 subjects, 147 (7.36%) had SCSME from exudates. The mean ± standard deviation age was 53.4 ± 10.5 years. The mean ± standard deviation HbA1c level was 8.26 ± 2.04. Logistic regression analysis indicated a significant association between presence of SCSME from exudates and HbA1c levels (p<0.001), sex (p=0.027), and ethnicity (p=0.030). African Americans (odds ratio [OR], 1.63; 95% confidence interval [CI], 1.06 to 2.50; p=0.025) and Asians (OR, 1.63; 95% CI, 1.05 to 2.54; p=0.029) had a higher risk than Hispanics. After adjusting for ethnicity, sex, and age, the odds of developing SCSME from exudates increased by 26.5% with every 1% increase in HbA1c level (OR, 1.26; 95% CI, 1.18 to 1.36; p<0.001).

CONCLUSIONS

In our underserved population, many diabetic patients had very high HbA1c values. Ethnic background (African American > Asians > Hispanics), sex (male > female), and HbA1c level were strong indicators for identifying who is at increased risk of developing SCSME from exudates.

Racial/ethnic and socioeconomic disparities in achievement of treatment goals within a clinical trial: a secondary analysis of the ACCORD trial

AIMS/HYPOTHESIS

Clinical trial participation should theoretically reduce barriers to care by ensuring medication and healthcare access. We aimed to evaluate disparities in achieving diabetes treatment targets by race/ethnicity and educational attainment within the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial (ClinicalTrials.gov NCT00000620).

METHODS

The ACCORD trial included three interventions of varying participant burden: glycaemic (high burden), blood pressure (medium burden) and triglyceride-lowering (low burden). We examined adjusted odds ratios (aORs) for achievement of glycaemic targets, blood pressure targets and a ≥25% reduction in triglyceride levels (a proxy for adherence to fenofibrate therapy) in the first year, and for hypoglycaemia requiring medical assistance at any time, by treatment arm, race/ethnicity and educational attainment using multivariable models adjusted for demographics and clinical characteristics. We explored whether disparities in glycaemic goal achievement were mediated by hypoglycaemia, medication use, change in BMI or number of study visits attended.

RESULTS

Compared with White participants, participants who identified as Black, Hispanic and Other race/ethnicity were less likely to achieve glycaemic targets (aOR [95% CI]) 0.63 [0.55,0.71], 0.73 [0.61, 0.88], 0.82 [0.71, 0.96], respectively); Black participants but not Hispanic and Other race/ethnicity participants were less likely to achieve blood pressure targets (aOR [95% CI] 0.77 [0.65, 0.90], 1.01 [0.78, 1.32], 1.01 [0.81, 1.26], respectively); and Black, Hispanic and Other race/ethnicity participants were equally or more likely to achieve triglyceride reduction (aOR [95% CI] 1.77 [1.38, 2.28], 1.34 [0.98, 1.84], 1.43 [1.10, 1.85], respectively). Differences in goal achievement by educational attainment were generally not significant after adjusting for baseline characteristics. Rates of hypoglycaemia requiring medical assistance were highest among Black individuals and those with lower educational attainment. Associations between race/ethnicity and glycaemic control were partially mediated by differences in insulin dosing and oral medication use.

CONCLUSIONS/INTERPRETATION

Racially/ethnically minoritised participants in the ACCORD trial were less likely to achieve high-burden (glycaemic) treatment goals but were generally similarly likely to achieve goals of less intensive interventions. Differences in glycaemic treatment goal achievement were partially mediated by differences in medication use but not mediated by hypoglycaemia, change in BMI or study visit attendance.

Racial and Ethnic Differences in the Association Between Mean Glucose and Hemoglobin A1c

Background: Studies have reported significantly higher hemoglobin A1c (A1C) in African American patients than in White patients with the same mean glucose, but less is known about other racial/ethnic groups. We evaluated racial/ethnic differences in the association between mean glucose, based on continuous glucose monitor (CGM) data, and A1C. Methods: Retrospective study among 1788 patients with diabetes from Kaiser Permanente Northern California (KPNC) who used CGM devices during 2016 to 2021. In this study population, there were 5264 A1C results; mean glucose was calculated from 124,388,901 CGM readings captured during the 90 days before each A1C result. Hierarchical mixed models were specified to estimate racial/ethnic differences in the association between mean glucose and A1C. Results: Mean A1C was 0.33 (95% confidence interval: 0.23-0.44; P < 0.0001) percentage points higher among African American patients relative to White patients for a given mean glucose. A1C results for Asians, Latinos, and multiethnic patients were not significantly different from those of White patients. The slope of the association between mean glucose and A1C did not differ significantly across racial/ethnic groups. Variance for the association between mean glucose and A1C was substantially greater within groups than between racial/ethnic groups (65% vs. 9%, respectively). Conclusions: For African American patients, A1C results may overestimate glycemia and could lead to premature diabetes diagnoses, overtreatment, or invalid assessments of health disparities. However, most of the variability in the mean glucose-A1C association was within racial/ethnic groups. Treatment decisions driven by guideline-based A1C targets should be individualized and supported by direct measurement of glycemia.

Ethnicity/race, parent educational attainment, and obesity associated with prediabetes in children

BACKGROUND/OBJECTIVES

Obesity and other predictors of type 2 diabetes disproportionally affect Hispanic and Black children in the US compared to non-Hispanic White (NHW) children. Yet, the prevalence of prediabetes in children remains unestablished, and guidelines for screening young children are lacking. This study examined the relationships between demographic factors and prediabetes in vulnerable youth in central Texas.

SUBJECTS/METHODS

This is a cross-sectional analysis of baseline data from 976 3rd-5th graders (7-12 years) who participated in TX Sprouts, a school-based gardening, nutrition, and cooking trial in 16 elementary schools serving mainly children from minority backgrounds and lower-income households. Measures collected included age, sex, ethnicity, free/reduced-priced school lunch (FRL) status, parent educational attainment (questionnaires), BMI from height (stadiometer) and weight (TANITA scale), and prediabetes status from fasting plasma glucose (FPG) and HbA1c. Regressions examined cross-sectional associations between demographics and FPG, HbA1c, and prediabetes.

RESULTS

Children were 47% male, 67% Hispanic, and 10% Black, with a mean age of 9.3 years; 71% received FRL, 50% had overweight/obesity, and 26% had prediabetes. Prediabetes rates were 2.8 and 4.8 times higher in Hispanic and Black children compared to NHW children, respectively (p ≤ 0.001), and 1.5 times higher in children with obesity versus normal BMI (p = 0.02). Children of parents with only an 8th-grade education, some high school education, or a high school degree had 3.1, 2.7, and 2.2 times higher odds of having prediabetes compared to children of college graduates, respectively (p ≤ 0.004). Analyses with FPG and HbA1c yielded similar results.

CONCLUSION

These findings suggest a potential need for earlier screening, more comprehensive testing guidelines, and prevention programs tailored toward minority children, children with obesity, and children of parents with low educational attainment. Future research should explore this finding in a larger, nationally representative sample.

Advances in the management of type 2 diabetes in adults

Type 2 diabetes is a chronic and progressive cardiometabolic disorder that affects more than 10% of adults worldwide and is a major cause of morbidity, mortality, disability, and high costs. Over the past decade, the pattern of management of diabetes has shifted from a predominantly glucose centric approach, focused on lowering levels of haemoglobin A1c (HbA1c), to a directed complications centric approach, aimed at preventing short term and long term complications of diabetes, and a pathogenesis centric approach, which looks at the underlying metabolic dysfunction of excess adiposity that both causes and complicates the management of diabetes. In this review, we discuss the latest advances in patient centred care for type 2 diabetes, focusing on drug and non-drug approaches to reducing the risks of complications of diabetes in adults. We also discuss the effects of social determinants of health on the management of diabetes, particularly as they affect the treatment of hyperglycaemia in type 2 diabetes.

Emergency Department Use in Black Individuals With Diabetes

Objective

The prevalence of diabetes is higher in Black than in White individuals, and Blacks seek emergency department (ED) care for diabetes more often than Whites. This randomized controlled trial compared the efficacy of a novel intervention called the Diabetes Interprofessional Team to Enhance Adherence to Medical Care (DM I-TEAM) to usual medical care (UMC) to prevent return diabetes-related ED visits and hospitalizations over 12 months in 200 Black individuals with diabetes after an ED visit. The trial also identified baseline variables associated with return ED visits and hospitalizations.

Methods

The DM I-TEAM provided diabetes education and behavioral activation services delivered by race-concordant research assistants, telehealth visits with a diabetes care and education specialist and primary care physicians, and clinical pharmacist recommendations.

Results

Participants had a mean age of 64.9 years, and 73.0% were women. There was no treatment group difference in return diabetes-related ED visits or hospitalizations over 12 months (DM I-TEAM n = 39 [45.3%] vs. UMC n = 37 [38.5%], χ2 = 0.864, P = 0.353). Baseline variables that were associated with return diabetes-related ED visits or hospitalizations were longer duration of diabetes, higher number of chronic health conditions, higher number of previous ED visits or hospitalizations, greater anticholinergic medication burden, lower satisfaction with primary care physicians, and lower trust in physicians (all P ≤0.05).

Conclusion

Among Black individuals with diabetes, the DM I-TEAM interprofessional intervention was no better than UMC at preventing return diabetes-related ED visits or hospitalizations. High medical morbidity, greater anticholinergic medication burden, low satisfaction with primary care physicians, and physician mistrust were associated with diabetes-related ED visits or hospitalizations independent of treatment. Before clinical interventions such as the DM I-TEAM can be effective, reducing system-level barriers to health, improving physician-patient relationships and medication prescribing, and building community health care capacity will be necessary.

National Estimates of the Adult Diabetes Care Continuum in India, 2019-2021

Importance

Diabetes is widespread and treatable, but little is known about the diabetes care continuum (diagnosis, treatment, and control) in India and how it varies at the national, state, and district levels.

Objective

To estimate the adult population levels of diabetes diagnosis, treatment, and control in India at national, state, and district levels and by sociodemographic characteristics.

Design, Setting, and Participants

In this cross-sectional, nationally representative survey study from 2019 to 2021, adults in India from 28 states, 8 union territories, and 707 districts were surveyed for India's Fifth National Family Health Survey (NFHS-5). The survey team collected data on blood glucose among all adults (18-98 years) who were living in the same household as eligible participants (pregnant or nonpregnant female individuals aged 15-49 years and male individuals aged 15-54 years). The overall sample consisted of 1 895 287 adults. The analytic sample was restricted to those who either self-reported having diabetes or who had a valid measurement of blood glucose.

Exposures

The exposures in this survey study were district and state residence; urban vs rural residence; age (18-39 years, 40-64 years, or ≥65 years); sex; and household wealth quintile.

Main Outcomes and Measures

Diabetes was defined by self-report or high capillary blood glucose (fasting: ≥126 mg/dL [to convert to mmol/L, multiply by 0.0555]; nonfasting: ≥220 mg/dL). Among respondents who had previously been diagnosed with diabetes, the main outcome was the proportion treated based on self-reported medication use and the proportion controlled (fasting: blood glucose <126 mg/dL; nonfasting: ≤180 mg/dL). The findings were benchmarked against the World Health Organization (WHO) Global Diabetes Compact targets (80% diagnosis; 80% control among those diagnosed). The variance in indicators between and within states was partitioned using variance partition coefficients (VPCs).

Results

Among 1 651 176 adult respondents (mean [SD] age, 41.6 [16.4] years; 867 896 [52.6%] female) with blood glucose measures, the proportion of individuals with diabetes was 6.5% (95% CI, 6.4%-6.6%). Among adults with diabetes, 74.2% (95% CI, 73.3%-75.0%) were diagnosed. Among those diagnosed, 59.4% (95% CI, 58.1%-60.6%) reported taking medication, and 65.5% (95% CI, 64.5%-66.4%) achieved control. Diagnosis and treatment were higher in urban areas, older age groups, and wealthier households. Among those diagnosed in the 707 districts surveyed, 246 (34.8%) districts met the WHO diagnosis target, while 76 (10.7%) districts met the WHO control target. Most of the variability in diabetes diagnosis (VPC, 89.1%), treatment (VPC, 85.9%), and control (VPC, 95.6%) were within states, not between states.

Conclusions and Relevance

In this survey study, the diabetes care continuum in India is represented by considerable district-level variation, age-related disparities, and rural-urban differences. Surveillance at the district level can guide state health administrators to prioritize interventions and monitor achievement of global targets.

Neighborhood Deprivation and Racial Disparities in Early Pregnancy Impaired Glucose Tolerance

OBJECTIVE

There is mounting evidence that neighborhoods contribute to perinatal health inequity. We aimed (1) to determine whether neighborhood deprivation (a composite marker of area-level poverty, education, and housing) is associated with early pregnancy impaired glucose intolerance (IGT) and pre-pregnancy obesity and (2) to quantify the extent to which neighborhood deprivation may explain racial disparities in IGT and obesity.

STUDY DESIGN

This was a retrospective cohort study of non-diabetic patients with singleton births ≥ 20 weeks' gestation from 1 January 2017-31 December 2019 in two Philadelphia hospitals. The primary outcome was IGT (HbA1c 5.7-6.4%) at <20 weeks' gestation. Addresses were geocoded and census tract neighborhood deprivation index (range 0-1, higher indicating more deprivation) was calculated. Mixed-effects logistic regression and causal mediation models adjusted for covariates were used.

RESULTS

Of the 10,642 patients who met the inclusion criteria, 49% self-identified as Black, 49% were Medicaid insured, 32% were obese, and 11% had IGT. There were large racial disparities in IGT (16% vs. 3%) and obesity (45% vs. 16%) among Black vs. White patients, respectively (p < 0.0001). Mean (SD) neighborhood deprivation was higher among Black (0.55 (0.10)) compared with White patients (0.36 (0.11)) (p < 0.0001). Neighborhood deprivation was associated with IGT and obesity in models adjusted for age, insurance, parity, and race (aOR 1.15, 95%CI: 1.07, 1.24 and aOR 1.39, 95%CI: 1.28, 1.52, respectively). Mediation analysis revealed that 6.7% (95%CI: 1.6%, 11.7%) of the Black-White disparity in IGT might be explained by neighborhood deprivation and 13.3% (95%CI: 10.7%, 16.7%) by obesity. Mediation analysis also suggested that 17.4% (95%CI: 12.0%, 22.4%) of the Black-White disparity in obesity may be explained by neighborhood deprivation.

CONCLUSION

Neighborhood deprivation may contribute to early pregnancy IGT and obesity-surrogate markers of periconceptional metabolic health in which there are large racial disparities. Investing in neighborhoods where Black patients live may improve perinatal health equity.

Can HbA1c Alone Be Safely Used to Guide Insulin Therapy in African Youth with Type 1 Diabetes?

Introduction

The relationship of HbA1c versus the mean blood glucose (MBG) is an important guide for diabetes management but may differ between ethnic groups. In Africa, the patient's glucose information is limited or unavailable and the management is largely guided by HbA1c. We sought to determine if the reference data derived from the non-African populations led to an appropriate estimation of MBG from HbA1c for the East African patients.

Methods

We examined the relationship of HbA1c versus MBG obtained by the continuous glucose monitoring in a group of East African youth having type 1 diabetes in Kenya and Uganda (n = 54) compared with the data obtained from A1c-derived average glucose (ADAG) and glucose management indicator (GMI) studies. A self-identified White (European heritage) population of youth (n = 89) with type 1 diabetes, 3-18 years old, living in New Orleans, LA, USA metropolitan area (NOLA), was studied using CGM as an additional reference.

Results

The regression equation for the African cohort was MBG (mg/dL) = 32.0 + 16.73 × HbA1c (%), r = 0.55, p < 0.0001. In general, the use of the non-African references considerably overestimated MBG from HbA1c for the East African population. For example, an HbA1c = 9% (74.9 mmol/mol) corresponded to an MBG = 183 mg/dL (10.1 mmol/L) in the East African group, but 212 mg/dL (11.7 mmol/L) using ADAG, 237 mg/dL (13.1 mmol/L) using GMI and 249 mg/dL (13.8 mmol/L) using NOLA reference. The reported occurrence of serious hypoglycemia among the African patients in the year prior to the study was 21%. A reference table of HbA1c versus MBG from the East African patients was generated.

Conclusions

The use of non-African-derived reference data to estimate MBG from HbA1c generally led to the overestimation of MBG in the East African patients. This may put the East African and other African patients at higher risk for hypoglycemia when the management is primarily based on achieving target HbA1c in the absence of the corresponding glucose data.

Effect of lifestyle intervention on HbA1c levels in overweight and obese adults with type 2 diabetes across ethnicities: A systematic review and meta-analysis of randomized controlled trials

AIMS

Weight reduction is fundamental for the management and remission of diabetes. We aimed to assess ethnic differences in the effects of lifestyle weight-loss interventions on HbA1c levels in overweight or obese adults with type 2 diabetes mellitus (T2DM).

METHODS

We systematically searched PubMed/MEDLINE and Web of Science online databases up to 31 Dec 2022. Randomized controlled trials using lifestyle weight-loss interventions in overweight or obese adults with T2DM were selected. We performed subgroup analyses to explore the heterogeneity across different ethnicities (Asians, White/Caucasians, Black/Africans and Hispanics). A random effects model was applied to calculate weighted mean difference (WMD) with 95% confidence interval (CI).

RESULTS

Thirty studies including 7580 subjects from different ethnicities were identified according to the predefined inclusion and exclusion criteria. HbA1c levels were significantly reduced by lifestyle weight-loss intervention. Notably, a significantly beneficial effect on HbA1c was observed in White/Caucasians (WMD = -0.59, 95% CI: -0.90, -0.28, P < 0.001) and Asians (WMD = -0.48, 95% CI: -0.63, -0.33, P < 0.001), but not in the Black/African or Hispanic group (both P > 0.05). The findings remained essentially unchanged in the sensitivity analysis.

CONCLUSIONS

Lifestyle weight-loss interventions had distinct beneficial effects on HbA1c levels in different ethnic groups with T2DM, especially in Caucasians and Asians.

Investigating family history of diabetes as a predictor of fasting insulin and fasting glucose activity in a sample of healthy weight adults

AIMS

Type 2 diabetes is a major public health problem for the global community. Having a family history of diabetes significantly increases risk for diabetes development and understanding how family history contributes to diabetes risk could lead to more effective prevention efforts for at-risk individuals. In a previous study, we showed family history of diabetes is a significant predictor of fasting insulin in healthy weight children. The present study aimed to use the National Health and Nutrition Examination Survey (NHANES 2017) to apply similar multiple regression models to a population of healthy weight adults to determine if family history is a significant predictor of fasting glucose and fasting insulin.

METHODS

Fasting glucose (mg/dL) and fasting insulin (pmol/L) were used as dependent variables in each model, respectively, with family history of diabetes as the independent variable. Covariates for each model included age, gender, race/ethnicity, waist circumference, and macronutrient intake.

RESULTS

The model significantly predicted the variance of fasting glucose [(F(11,364) = 34.80, p < 0.001, R² = 0.2342] and fasting insulin [F(11,343) = 17.58, p < 0.001, R² = 0.1162]. After adjusting for covariates, family history was a significant predicator of fasting glucose (p = 0.0193) as well as age, gender, non-Hispanic black ethnicity, waist circumference, and fat intake. Significant predictors of fasting insulin included gender and waist circumference, but not family history (p = 0.8264). In addition, fasting glucose was higher in individuals with a family history of diabetes (p = 0.033).

CONCLUSIONS

These results add to the understanding of how family history influences the biomarkers that contribute to diabetes development. Knowledge of how family history of diabetes relates to fasting insulin and fasting glucose activity in healthy weight individuals can be used to design personalized screening and early prevention strategies.

The Consumption of Animal and Plant Foods in Areas of High Prevalence of Stroke and Colorectal Cancer

Diets of red and processed meat have been reported as important risk factors for developing colorectal cancer. Given the racial and ethnic differences in the incidence of colorectal cancer, patterns of food consumption, and areas of residence, particularly in the South, more data is needed on the relationship between residing in a high stroke area, colorectal cancer incidence levels, and red meat and processed meat consumption. We created online surveys to ascertain meat, red meat, and healthy food consumption levels. We used OLS regression to evaluate the association between residence in Stroke Belt states and colorectal cancer incidence quartiles with food consumption. We further used path analysis using structural equation modeling to evaluate if age, sex, race/ethnicity, income, and comorbidity index mediated the association between residence in the eight-state Stroke Belt, colorectal cancer incidence groups, and meat consumption. Our sample included 923 participants, with 167 (18.1%) residing in the Stroke Belt and 13.9% being in the highest colorectal cancer incidence group. The findings show that residing in a Stroke Belt state is predictive of the consumption of overall meat 0.93 more days per week or red meat 0.55 more days per week compared to those not residing in a Stroke Belt state. These data can be used to develop future diet interventions in these high-risk areas to reduce rates of colorectal cancer and other negative health outcomes.

Interprofessional Intervention to Reduce Emergency Department Visits in Black Individuals with Diabetes

Black individuals with diabetes have high rates of emergency department (ED) use. This randomized controlled trial compared the efficacy of Diabetes Interprofessional Team to Enhance Adherence to Medical Care (DM I-TEAM) versus Usual Medical Care (UMC) to reduce number of return ED visits/hospitalizations over 12 months in 200 Black individuals with diabetes after an ED visit. DM I-TEAM consisted of community health worker-delivered diabetes education and behavior activation, telehealth visits with a diabetes nurse educator and primary care physicians, and clinical pharmacist recommendations to reduce potentially inappropriate medications (PIMs). Secondary outcomes included glycemic control, PIMs use, diabetes self-management, diabetes self-efficacy, depression, and medical trust. Participants had a mean age of 64.9 years and 73.0% were women. The 2 treatment groups were similar in baseline characteristics. Sixty-eight (69.4%) DM I-TEAM participants and 69 (67.6%) UMC participants had at least 1 incident ED visit/hospitalization over 12 months. The adjusted incidence rate ratio for DM I-TEAM versus UMC was 1.11 (95% confidence interval 0.79-1.56; P = 0.54). DM I-TEAM participants attained significantly better diabetes self-management, diabetes self-efficacy, and institutional trust than UMC participants. There were no treatment group differences in hemoglobin A1c level nor PIMs use. Among Black individuals with diabetes, a novel culturally relevant intervention was no better than usual care at preventing return ED visits/hospitalizations over 1 year. Before reasonable clinical interventions such as DM I-TEAM can be effective, reducing system-level barriers to health, building community health care capacity, and designing interventions that better align with the everyday realities of patients' lives are necessary. clinicaltrials.gov NCT03393338.

HbA1c and physical performance in older adults from different aging epidemiological contexts: Longitudinal findings of the International Mobility in Aging Study (IMIAS)

OBJECTIVE

This study aimed to assess the longitudinal predictions between glycated hemoglobin A1c (HbA1c) and physical performance scores in different epidemiological contexts of aging.

MATERIAL AND METHODS

Longitudinal data of 1,337 older people from three countries (Canada, Brazil and Colombia) of the International Mobility in Aging Study (IMIAS) were used to assess the relationship between HbA1c and Short Physical Performance Battery (SPPB) scores between 2012 and 2016. Linear Mixed Models grouped by sex and adjusted by Age, Study site, Chronic Conditions, Anthropometric Measures, and Inflammatory Level were used to estimate the influence of HbA1c and covariates on SPPB scores.

RESULTS

At the IMIAS baseline, Latin American (LA) cities had higher HbA1c averages compared to Canadian cities, with Natal (Brazil) being the city with the highest HbA1c averages in men and women (6.32 ± 1.49; 6,56 ± 1.70 respectively). SPPB scores were significantly lower in LA cities, and older people in Natal had lower SPPB averages in men (9.67 ± 2.38; p-value < 0.05) and women (8.52 ± 2.33; p-value <0.05). In the multivariate mixed linear models of longitudinal analyses, HbA1c was significantly associated with lower SPPB scores in men (β = -0.25, 95% CI: -0.39 to -0.12, p-value = 0.02) but not in women.

CONCLUSION

High HbA1c levels at baseline were longitudinally associated in older adults from different countries, and this association was observed only in men and not in women. This study highlights a possible influence of gender on this relationship.

Social Determinants of Health and Impact on Screening, Prevalence, and Management of Diabetic Retinopathy in Adults: A Narrative Review

Diabetic retinal disease (DRD) is the leading cause of blindness among working-aged individuals with diabetes. In the United States, underserved and minority populations are disproportionately affected by diabetic retinopathy and other diabetes-related health outcomes. In this narrative review, we describe racial disparities in the prevalence and screening of diabetic retinopathy, as well as the wide-range of disparities associated with social determinants of health (SDOH), which include socioeconomic status, geography, health-care access, and education.

Pancreas Transplantation in Minorities including Patients with a Type 2 Diabetes Phenotype

Background: Prior to year 2000, the majority of pancreas transplants (PTx) were performed as simultaneous pancreas-kidney transplants (SPKTs) in Caucasian adults with end stage renal failure secondary to type 1 diabetes mellitus (T1DM) who were middle-aged. In the new millennium, improving outcomes have led to expanded recipient selection that includes patients with a type 2 diabetes mellitus (T2DM) phenotype, which excessively affects minority populations. Methods: Using PubMed® to identify appropriate citations, we performed a literature review of PTx in minorities and in patients with a T2DM phenotype. Results: Mid-term outcomes with SPKT in patients with uremia and circulating C-peptide levels (T2DMphenotype) are comparable to those patients with T1DM although there may exist a selection bias in the former group. Excellent outcomes with SPKT suggests that the pathophysiology of T2DM is heterogeneous with elements consisting of both insulin deficiency and resistance related to beta-cell failure. As a result, increasing endogenous insulin (Cp) production following PTx may lead to freedom checking blood sugars or taking insulin, better metabolic counter-regulation, and improvements in quality of life and life expectancy compared to other available treatment options. Experience with solitary PTx for T2DM or in minorities is limited but largely mirrors the trends reported in SPKT. Conclusions: PTx is a viable treatment option in patients with pancreas endocrine failure who are selected appropriately regardless of diabetes type or recipient race. This review will summarize data that unconventional patient populations with insulin-requiring diabetes may gain value from PTx with an emphasis on contemporary experiences and appropriate selection in minorities in the new millennium.

Interindividual variability in average glucose-glycated haemoglobin relationship in type 1 diabetes and implications for clinical practice

AIM

Glycated haemoglobin (HbA1c) can fail to reflect average glucose levels, potentially compromising management decisions. We analysed variability in the relationship between mean glucose and HbA1c in individuals with diabetes.

MATERIALS AND METHODS

Three months of continuous glucose monitoring and HbA1c data were obtained from 216 individuals with type 1 diabetes. Universal red blood cell glucose transporter-1 Michaelis constant KM and individualized apparent glycation ratio (AGR) were calculated and compared across age, racial and gender groups.

RESULTS

The mean age (range) was 30 years (8-72) with 94 younger than 19 years, 78 between 19 and 50 years, and 44 were >50 years. The group contained 120 women and 96 men with 106 white and 110 black individuals. The determined KM value was 464 mg/dl and AGR was (mean ± SD) 72.1 ± 7 ml/g. AGR, which correlated with red blood cell lifespan marker, was highest in those aged >50 years at 75.4 ± 6.9 ml/g, decreasing to 73.2 ± 7.8 ml/g in 19-50 years, with a further drop to 71.0 ± 5.8 ml/g in the youngest group (p <0 .05). AGR differed between white and black groups (69.9 ± 5.8 and 74.2 ± 7.1 ml/g, respectively; p < .001). In contrast, AGR values were similar in men and women (71.5 ± 7.5 and 72.5 ± 6.6 ml/g, respectively; p = .27). Interestingly, interindividual AGR variation within each group was at least four-fold higher than average for between-group variation.

CONCLUSIONS

In this type 1 diabetes cohort, ethnicity and age, but not gender, alter the HbA1c-glucose relationship with even larger interindividual variations found within each group than between groups. Clinical application of personalized HbA1c-glucose relationships has the potential to optimize glycaemic care in the population with diabetes.

Differences in Hemoglobin A1c during Pregnancy between Non-Hispanic Black versus White Women with Prepregnancy Diabetes

OBJECTIVE

The objective of this was to determine whether the change in hemoglobin A1c (HbA1c) from early to late pregnancy differs between non-Hispanic Black and White women with prepregnancy diabetes.

STUDY DESIGN

A retrospective analysis was performed from an integrated prenatal and diabetes care program from 2012 to 2016. We compared HbA1c as a continuous measure and secondarily, HbA1c <6.5%, cross-sectionally, and longitudinally in early (approximately 10 weeks) and late (approximately 31 weeks) pregnancies. Linear and logistic regression were used and adjusted for age, body mass index, White diabetes class, medication use, diabetes type, gestational age at baseline HbA1c measurement, and baseline hemoglobin.

RESULTS

Among 296 non-Hispanic Black (35%) and White pregnant women (65%) with prepregnancy diabetes (39% type 1 and 61% type 2), Black women were more likely to experience increased community-level social determinants of health as measured by the Social Vulnerability Index (SVI) and were less likely to have type 1 diabetes and have more severe diabetes versus White women (p < 0.05). Black women had higher mean HbA1c (7.8 vs. 7.4%; beta: 0.75; 95% confidence interval [CI]: 0.30-1.19) and were less likely to have HbA1c < 6.5% at 10 weeks compared with White women (24 vs. 35%; adjusted odds ratio: 0.45; 95% CI: 0.24-0.81) but not after adjusting for SVI. At 31 weeks, both groups had similar mean HbA1c (both 6.5%) and were equally as likely to have HbA1c < 6.5% (57 vs. 54%). From early to late pregnancy, Black women had a higher percentage decrease in HbA1c (1.3 vs. 0.9%; beta = 0.63; 95% CI: 0.27-0.99) and were equally as likely to have an improvement or stable HbA1C < 6.5% from 10 to 31 weeks, with both groups having a similar mean HbA1c (6.5%) at 31 weeks.

CONCLUSION

Despite experiencing greater community-level social determinants of health, Black women with pregestational diabetes had a larger reduction in HbA1c and were able to equally achieve the target of HbA1c < 6.5% by late pregnancy compared with White women as part of an integrated diabetes and prenatal care program.

KEY POINTS

· An integrated diabetes and pregnancy care program may decrease racial and ethnic disparities in glycemic control.. · Black women had a larger reduction in HbA1c versus White women.. · Black women were able to equally achieve the target of HbA1c < 6.5% by late pregnancy versus White women..

Glucometabolic State Transitions: The Jackson Heart Study

Background

Diabetes and prediabetes are common among African Americans (AA), but the frequency and predictors of transition between normal, impaired glucose metabolism, and diabetes are not well-described. The aim of this study was to examine glucometabolic transitions and their association with the development of type 2 diabetes (T2D).

Methods

AA participants of the Jackson Heart Study who attended baseline exam (2000-2004) and at least one of two subsequent exams (2005-2008 and 2009-2013, ~8 years) were classified according to glycemic status. Transitions were defined as progression (deterioration) or remission (improvement) of glycemic status. Multinomial logistic regression models with repeated measures were used to estimate the odds ratios (OR) for remission and progression with adjustment for demographic, anthropometric, behavioral, and biochemical factors.

Results

Among 3353 participants, (mean age 54.6±12.3 years), 43% were normoglycemic, 32% were prediabetes, and 25% had diabetes at baseline. For those with normal glucose at a visit, the probability at the next visit (~4years) of having prediabetes or diabetes was 38.5% and 1.8%, respectively. For those with prediabetes, the probability was 9.9% to improve to normal and 19.9% to progress to diabetes. Progression was associated with baseline BMI, diabetes status, triglycerides, family history of diabetes, and weight gain (OR 1.04 kg, 95% CI:1.03-1.06, P=<.0001). Remission was strongly associated with weight loss (OR .97 kg, 95%CI: .95-.98, P<.001).

Conclusions

In AAs, glucometabolic transitions were frequent and most involved deterioration. From a public health perspective additional emphasis should be placed on weight control to preserve glucometabolic status and prevent progression to T2D.

Potential misclassification of diabetes and prediabetes in the U.S.: Mismatched HbA1c and glucose in NHANES 2005-2016

AIMS

To assess the prevalence and clinical implications of "mismatches" between HbA1c and glucose levels in the United States across the life course.

METHODS

Participants ages 12-79 years from U.S. National Health and Nutrition Examination Survey (NHANES) 2005-2016 without known diagnosis of diabetes and who had a 75 g oral glucose tolerance test were included. Previously undiagnosed diabetes (DM), prediabetes, and normal glucose metabolism (NGM) were defined using American Diabetes Association cut-points. Mismatches were defined by the hemoglobin glycation index (HGI).

RESULTS

In 10,361 participants, 5% and 41% had diabetes and prediabetes, respectively, by fasting or 2-hour glucose criteria. By HbA1c criteria, the high HGI tertile consisted of mostly abnormal classification (3% DM, 52% prediabetes) and the low HGI tertile contained mostly normal classification (78% NGM). Across all ages, 15% (weighted: 30 million individuals) had clinically significant mismatches of HGI magnitude ≥+0.5% (i.e., high mismatch) or ≤-0.5% (low mismatch). Mismatch was most common in older adults and non-Hispanic Black participants.

CONCLUSIONS

Mismatches of clinically significant magnitude could lead to HbA1c-related misdiagnosis or inappropriate management in up to 30 million Americans. Older adults, non-Hispanic Black individuals, and others with high mismatches may benefit from complementing HbA1c with additional diagnostic and management strategies.

Differences in the prevalence of intermediate hyperglycaemia and the associated incidence of type 2 diabetes mellitus by ethnicity: The HELIUS study

AIMS

We aimed to describe differences in the prevalence of intermediate hyperglycaemia (IH) between six ethnic groups. Moreover, to investigate differences in the association of the classifications of IH with the incidence of T2DM between ethnic groups.

METHODS

We included 3759 Dutch, 2826 African Surinamese, 1646 Ghanaian, 2571 Turkish, 2691 Moroccan and 1970 South Asian Surinamese origin participants of the HELIUS study. IH was measured by fasting plasma glucose (FPG) and HbA1c. We calculated age-, BMI and physical-activity-adjusted prevalence of IH by sex, and calculated age and sex-adjusted hazard ratios (HR)for the association between IH and T2DM in each ethnic group.

RESULTS

The prevalence of IH was higher among ethnic minority groups (68.6-41.7%) than the Dutch majority (34.9%). The prevalence of IH categories varied across subgroups. Combined increased FPG and HbA1c was most prevalent in South-Asian Surinamese men (27.6%, 95 %CI: 24.5-30.9%), and in Dutch women (4.2%, 95 %CI: 3.4-5.1%). The HRs for T2DM for each IH-classification did not differ significantly between ethnic groups. HRs were highest for the combined classification, e.g., HR = 8.1, 95 %CI: 2.5-26.6 in the Dutch.

CONCLUSION

We found a higher prevalence of IH in ethnic minority versus majority groups, but did not find evidence for a differential association of IH with incident T2DM.

Racial/ethnic and socioeconomic disparities in the use of newer diabetes medications in the Look AHEAD study

Background

Among patients with type 2 diabetes, minority racial/ethnic groups have a higher burden of cardiovascular disease, chronic kidney disease, and hypoglycaemia. These groups may especially benefit from newer diabetes medication classes, but high cost may limit access. We examined the association of race/ethnicity with the initiation of newer diabetes medications (GLP-1 receptor agonists, DPP-4 inhibitors, SGLT-2 inhibitors).

Methods

We conducted a secondary analysis of the Look AHEAD (Action for Health in Diabetes) trial including participants with at least one study visit after April 28, 2005. Cox proportional hazards models were used to estimate the association between race/ethnicity and socioeconomic factors with time to initiation of any newer diabetes medication from April 2005 to February 2020. Models were adjusted for demographic and clinical characteristics.

Findings

Among 4,892 participants, 63.6%, 15.7%, 12.6%, 5.2%, and 2.9% were White, Black, Hispanic, American Indian or Alaskan Native (AI/AN), or other race/ethnicity, respectively. During a median follow-up of 8.3 years, 2,180 (45.2%) participants were initiated on newer diabetes medications. Race/ethnicity was associated with newer diabetes medication initiation (p=.019). Specifically, initiation was lower among Black (HR 0.81, 95% CI 0.70 -0.94) and AI/AN participants (HR 0.51, 95% CI 0.26-0.99). Yearly family income was inversely associated with initiation of newer diabetes medications (HR 0.78, 95% CI 0.62-0.98) comparing the lowest and highest income groups. Findings were mostly driven by GLP-1 receptor agonists.

Interpretation

These findings provide evidence of racial/ethnic disparities in the initiation of newer diabetes medications, independent of socioeconomic factors, which may contribute to worse health outcomes.

Racial disparities in diabetes care among incident breast, prostate, and colorectal cancer survivors: a SEER Medicare study

BACKGROUND

Many cancer survivors with co-morbid diabetes receive less diabetes management than their non-cancer counterparts. We sought to determine if racial/ethnic disparities exist in recommended diabetes care within 12 months of an incident breast, prostate, or colorectal cancer diagnosis. Because co-morbid diabetes decreases long-term survival, identifying predictors of guideline-concordant diabetes care is important.

METHODS

Using the Surveillance, Epidemiology, and End Results cancer registry linked to Medicare claims, we included beneficiaries aged 67+ years with diabetes and incident, non-metastatic breast, prostate, or colorectal cancer between 2008 and 2013. Primary outcomes were diabetes care services 12 months after diagnosis: (1) HbA1c test, (2) eye exam, and (3) low-density lipoprotein (LDL) test. Using modified Poisson models with robust standard errors, we examined each outcome separately.

RESULTS

We included 34,643 Medicare beneficiaries with both diabetes and cancer. Mean age at diagnosis was 76.1 (SD 6.2), 47.2% were women; 35% had breast, 24% colorectal, and 41% prostate cancer. In the 12 months after incident cancer diagnosis, 82.4% received an HbA1c test, 55.3% received an eye exam, 77.8% had an LDL test, and 42.0% received all three tests. Compared to non-Hispanic Whites, Blacks were 3% (95% CI 0.95-0.98) less likely to receive a HbA1c test, 10% (95% CI 0.89-0.92) less likely to receive a LDL test, and 8% (95% 0.89-0.95) less likely to receive an exam eye. Blacks and Hispanics were 16% (95% CI 0.81-0.88) and 7% (0.88-0.98) less likely to receive all three tests, after accounting for confounders. Racial/ethnic differences persisted across cancer types.

CONCLUSION

Blacks and Hispanics with breast, prostate, and colorectal cancer and diabetes received less diabetes care after cancer diagnosis compared to non-Hispanic Whites. Differences were not explained by socio-economic factors or clinical need.

IMPLICATIONS FOR CANCER SURVIVORS

Our findings are concerning given the high prevalence of diabetes and poor cancer outcomes among racial/ethnic minorities. The next step in this line of inquiry is to determine why minorities are less likely to receive comprehensive diabetes care in order to develop targeted strategies to increase receipt of appropriate diabetes management for these vulnerable populations.

Simultaneous pancreas‐kidney transplantation in Caucasian versus African American patients: Does recipient race influence outcomes?

The influence of African American (AA) recipient race on outcomes following simultaneous pancreas‐kidney transplantation (SPKT) is uncertain.

Usefulness of CGM-Derived Metric, the Glucose Management Indicator, to Assess Glycemic Control in Non-White Individuals With Diabetes

OBJECTIVE

To assess the relationship between the glucose management indicator (GMI) and HbA_1c in non-White individuals with diabetes.

RESEARCH DESIGN AND METHODS

We performed a retrospective analysis of continuous glucose monitoring metrics in individuals with diabetes divided by race into non-White and White cohorts.

RESULTS

We evaluated 316 individuals (non-White n = 68; White n = 248). Although GMI was not different (7.6 vs. 7.7; P = not significant) between the cohorts, HbA_1c was higher in the non-White cohort (8.7% vs. 8.1%; P = 0.004). HbA_1c higher than GMI by ≥0.5% was more frequently observed in the non-White cohort (90% vs. 75%; P = 0.02). In the non-White cohort only, duration of hypoglycemia was longer among those with HbA_1c higher than GMI by ≥0.5% compared with those with HbA_1c and GMI within 0.5%.

CONCLUSIONS

A differential relationship between HbA_1c and GMI in non-White versus White individuals with diabetes was observed. In non-White individuals, a greater difference between HbA_1c and GMI was associated with higher risk of hypoglycemia.

A Closer Look at Racial Differences in Diabetes Outcomes Among a Community Sample: Diabetes Distress, Self-care, and HbA1c

OBJECTIVE

Approximately 34 million people in the U.S. have diabetes. With this illness come substantial changes to psychological and physical health. However, type 2 diabetes disproportionately affects non-Hispanic Black compared with non-Hispanic White populations. The purpose of this study was to examine racial differences in psychological, behavioral, and physical health over time among individuals recently diagnosed with type 2 diabetes.

RESEARCH DESIGN AND METHODS

Data were collected from a community sample of 193 adults recently diagnosed with type 2 diabetes (44% female; 45% Black). Measures of distress, self-care behaviors, and HbA1c were taken at an initial interview (time 1) and 6 months later (time 2). Individuals wore an Actical accelerometer to assess physical activity and participated in three 24-h dietary recall interviews to assess dietary intake within 2 weeks of the initial interview.

RESULTS

From time 1 to time 2, Black women showed the highest increase in depressive symptoms. There was a greater increase in regimen and physician distress among White compared with Black participants. White men and Black women reported a decline in medication adherence over time. There were no racial differences in changes in physical activity across 6 months. However, Black individuals had higher overall calorie consumption with greater protein, saturated fat, and cholesterol intake than White individuals. There were no race or sex differences in changes in glycemic stability.

CONCLUSIONS

Initial adjustment to a diagnosis of type 2 diabetes differentially influences Black and White men and women in terms of depressive symptoms, diabetes distress, and self-care.

The Role of Hemoglobin A1C in Diabetes Screening and Diabetic Retinopathy

Hemoglobin A1C (A1C) is used in various settings. Its performance has not been evaluated systemically. We compared A1C in diagnosis of diabetes with fasting plasma glucose (FPG) and 2-h postchallenged plasma glucose (2hPG) parameters in a cross-sectional cohort in the United Stated. Adult subjects (≥20 years) were identified from the National Health and Nutrition Examination Survey 2005-2016 without a history of diabetes who had BMI, A1C, FPG, and 2hPG (n = 10,416). For comparisons, we calculated the sample weighted prevalence, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) with subgroup analyses. For the retinopathy study, diabetic subjects with established diabetes who responded to the question of diabetic retinopathy were evaluated (n = 3907). Compared to the FPG/2hPG criteria, A1C ≥ 48 mmol/mol (6.5%) had a low sensitivity at 25.90%, with specificity 99.70%, PPV 84.70%, and NPV 95.70%. Subgroup analyses revealed a lower sensitivity in males (24.52%); the lowest in non-Hispanic White (21.35%), in the third decade (14.32%), and in the BMI < 22.50 kg/m2 group (7.21%). The prevalence of self-reported diabetic retinopathy increased drastically with an inflection point at A1C 48 mmol/mol (6.5%) from 11.52% to 18.32% (p < 0.0001). A1C ≥ 48 mmol/mol (6.5%) should be cautiously used to diagnose diabetes in certain subgroups due to very low sensitivity in certain groups. With the confirmation of the association of increasing self-reported diabetic retinopathy with A1C ≥ 48 mmol/mol (6.5%), the current A1C cutoff is an acceptable value with the understanding of especially low sensitivity in certain subgroups.

Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study

Abnormalities of red blood cell (RBC) indices may affect glycated haemoglobin (HbA1c) levels. We assessed the influence of haemoglobin (Hb) and mean corpuscular volume (MCV) on the performance of HbA1c in detecting dysglycaemia among reproductive aged women planning to conceive. Women aged 18-45 years (n = 985) were classified as normal (12 ≤ Hb ≤ 16 g/dL and 80 ≤ MCV ≤ 100 fL) and abnormal (Hb < 12 g/dL and/or MCV < 80 fL). The Area Under the Receiver Operating Characteristic (AUROC) curve was used to determine the performance of HbA1c in detecting dysglycaemic status (prediabetes and diabetes). There were 771 (78.3%) women with normal RBC indices. The AUROCs for the normal and abnormal groups were 0.75 (95% confidence interval 0.69, 0.81) and 0.80 (0.70, 0.90), respectively, and were not statistically different from one another [difference 0.04 (- 0.16, 0.08)]. Further stratification by ethnicity showed no difference between the two groups among Chinese and Indian women. However, Malay women with normal RBC indices displayed lower AUROC compared to those with abnormal RBC indices (0.71 (0.55, 0.87) vs. 0.98 (0.93, 1.00), p = 0.002). The results suggest that the performance of HbA1c in detecting dysglycaemia was not influenced by abnormal RBC indices based on low Hb and/or low MCV. However, there may be ethnic variations among them.

Optimizing treatment goals for long-term health outcomes among patients with type 2 diabetes mellitus

INTRODUCTION

Considerable confusions on treatment target have resulted from recent changes in guidelines. Evidence in medical guidelines came from clinical trials with highly selected patients, whereas treatment goals may differ in some subgroups. This study aimed to assess optimal treatment goals (A1C, blood pressure, low-density lipoprotein cholesterol (LDL-C)) for patients with type 2 diabetes mellitus (T2DM), which lead to optimal health outcomes by different treatment strategies.

RESEARCH DESIGN AND METHODS

A retrospective longitudinal study was conducted for veterans with T2DM by using US Veterans Affairs Administrative Database (2005-2015). Medical records were prepared for repeated evaluation performed at 6-month intervals and multivariate longitudinal regression was used to estimate the risk of microvascular and macrovascular complication events. Second-degree polynomial and splines were applied to identify the optimal goals in their associations with lowest risk of clinical outcomes, controlling for demographic characteristics, medical history, and medications.

RESULTS

A total of 124 651 patients with T2DM were selected, with mean of 6.72 follow-up years. In the general population, to achieve the lowest risk of microvascular and macrovascular complication, the optimal goals were A1C=6.81%, LDL-C=109.10 mg/dL; and A1C=6.76%, LDL-C=111.65 mg/dL, systolic blood pressure (SBP)=130.60 mmHg, respectively. The optimal goals differed between age and racial subgroups. Lower SBP for younger patients and lower LDL-C for black patients were associated with better health outcomes.

CONCLUSIONS

Optimal treatment goals were identified and multi-faceted treatment strategies targeting hyperglycemia and hyperlipidemia and hypertension may improve health outcome in veterans with T2DM. In addition to guidelines' recommended goals, health systems may examine their own large diverse patients with T2DM for better quality of care.

Inequalities in glycemic management in people living with type 2 diabetes mellitus and severe mental illnesses: cohort study from the UK over 10 years

INTRODUCTION

Using data from a a primary care pay-for-performance scheme targeting quality indicators, the objective of this study was to assess if people living with type 2 diabetes mellitus (T2DM) and severe mental illnesses (SMI) experienced poorer glycemic management compared with people living with T2DM alone, and if observed differences varied by race/ethnicity, deprivation, gender, or exclusion from the scheme.

RESEARCH DESIGN AND METHODS

Primary care data from a cohort of 56 770 people with T2DM, including 2272 people with T2DM and SMI, from London (UK), diagnosed between January 17, 2008 and January 16, 2018, were used. Adjusted mean glycated hemoglobin (HbA1c) and HbA1c differences were assessed using multilevel regression models.

RESULTS

Compared with people with T2DM only, people with T2DM/SMI were more likely to be of an ethnic minority background, excluded from the pay-for-performance scheme and residing in more deprived areas. Across the sample, mean HbA1c was lower in those with T2DM and SMI (mean HbA1c: 58 mmol/mol; 95% CI 57 to 59), compared with people with T2DM only (mean HbA1c: 59 mmol/mol; 95% CI 59 to 60). However, HbA1c levels were greater in Bangladeshi, Indian, Pakistani, and Chinese people compared with the White British reference in the T2DM/SMI group. People with T2DM/SMI who had been excluded from the pay-for-performance scheme, had HbA1c levels which were +7 mmol/mol (95% CI 2 to 11) greater than those with T2DM/SMI not excluded. Irrespective of SMI status, increasing deprivation and male gender were associated with increased HbA1c levels.

CONCLUSIONS

Despite a pay-for-performance scheme to improve quality standards, inequalities in glycemic management in people with T2DM and SMI persist in those excluded from the scheme and by gender, ethnicity, and area-level deprivation.

HbA1c variability and the development of nephropathy in individuals with type 1 diabetes mellitus from Rwanda

AIM

To estimate the incidence and prevalence of nephropathy and investigate whether high and fluctuating HbA_1c levels were associated with development of nephropathy among T1 diabetes individuals in Rwanda.

METHODS

From 2009 to 2018, 471 T1 diabetes individuals from Rwanda were assessed for nephropathy (albumin-creatinine ratio (ACR) ≥ 30 mg/g). We calculated the mean HbA_1c (HbA_1c-MEAN) and two measures of HbA_1c variability, i.e. A): intra-individual standard deviation (HbA_1c-SD), adjusted for HbA_1c assessments (HbA_1c-AdjSD) and coefficient of variation (HbA_1c-CV) and B): (number of HbA_1c variability measures > 11 mmol/mol between two measures/number of comparisons between measurements)*100. We followed individuals from first ACR-measurement (baseline) until nephropathy, death or last ACR-measurement (end-of-follow-up), and calculated HRs for developing nephropathy using Cox-regression.

RESULTS

The incidence and prevalence of nephropathy were 25% and 40%, respectively. All HbA_1c variability measures were associated with lower HRs of developing nephropathy, i.e. individuals with HbA1c-AdjSD levels of 0.8-1.5%, 1.5-2.1% and > 4.1% had 53% (95 %CI:0.26;0.86), 55% (95 %CI:0.25;0.82) and 53% (95 %CI:0.26;0.84) lower HRs, respectively, of nephropathy compared to individuals with HbA1c-AdjSD < 0.8%. Results did not change after adjustments, though some estimates were no longer significant. Individuals with adjusted HbA_1c-MEAN 9.9-11.4% and > 11.4% had HRs of 1.7 (95 %CI: 0.87;3.32) and 1.8 (95 %CI: 0.94;3.50) compared to individuals with HbA_1c-MEAN of 4.9-8.5%.

CONCLUSION

The incidence and prevalence of nephropathy was high. Higher mean HbA_1c was associated with higher HRs of developing nephropathy whereas higher HbA_1c variability was associated with lower HRs of nephropathy. This indicates that higher HbA_1c levels rather than fluctuating HbA_1c levels is a risk factor for developing nephropathy.

Racial differences in patient perception of interactions with providers are associated with health outcomes in type II diabetes

OBJECTIVES

Examine the association of patient perceptions of care with hemoglobin A1c (HbA1c), medication adherence, and missed appointments in non-Hispanic Black (NHB) and White (NHW) patients with type 2 diabetes (T2DM).

METHODS

We used linear and logistic regression models to analyze the association of the Interpersonal Processes of Care survey (IPC) with HbA1c, medication adherence, and missed appointments. We then examined how these associations differed by race.

RESULTS

There was no overall association between IPC subdomains and HbA1c in our sample (N = 221). NHB patients perceiving their provider always explained results and medications had a HbA1c on average 0.59 (-1.13, -0.04; p = 0.04) points lower than those perceiving their provider sometimes explained results and medications. No effect was observed in NHWs. Never perceiving disrespect from office staff was associated with an average 0.67 (-1.1, -0.24; p = 0.002) point improvement in medication adherence for all patients. Never perceiving discrimination from providers was associated with a 0.44 (-0.63, -0.25; p < 0.0001) decrease in the probability of missing an appointment for NHB patients.

CONCLUSIONS

These results demonstrate that particular aspects of communication in the patient-provider interaction may contribute to racial disparities in T2DM.

PRACTICE IMPLICATIONS

Communication training for both providers and staff may reduce disparities in T2DM.

Association of Provider Perspectives on Race and Racial Health Care Disparities with Patient Perceptions of Care and Health Outcomes

Purpose: Research suggests that providers contribute to racial disparities in health outcomes. Identifying modifiable provider perspectives that are associated with decreased racial disparities will help in the design of effective educational interventions for providers. Methods: This cross-sectional study investigated the association between primary care provider (PCP) perspectives on race and racial disparities with patient outcomes. Results: Study participants included 40 PCPs (70% White, 30% racial minority) caring for 55 patients (45% White, 55% Black) with type 2 diabetes mellitus. Associations of provider perspectives on race and racial disparities with patient variables (Interpersonal Processes of Care [IPC] Survey, which measures patient's ratings of their provider's interpersonal skills; medication adherence; glycemic control) were measured using Spearman correlation coefficients. Results suggest that Black patients of providers who reported greater skill in caring for Black patients had more positive perceptions of care in three of four IPC subdomains (Spearman correlation coefficients of -0.43, 0.44, 0.46, all with p<0.05); however, Black patients of providers who believe that racial disparities are highly prevalent had more negative perceptions of care in three of four IPC subdomains (Spearman correlation coefficients of 0.38, -0.53, -0.51, all with p<0.05). These same provider characteristics had no correlation with outcomes of medication adherence and hemoglobin A1c (HbA1c) or among White patients. Conclusion: Findings suggest that Black patients of providers who felt better equipped to take care of Black patients had a better experience. Therefore, educational interventions for providers may be most effective if they focus on skill development rather than increasing awareness about racial disparities alone.

Emergency department visits in African Americans with mild cognitive impairment and diabetes

AIMS

Dementia, diabetes, and African American race are three factors that are independently associated with emergency department (ED) use. This study tested the hypothesis that ED use is associated with worse cognitive function in African Americans with Mild Cognitive Impairment (MCI) and poorly controlled diabetes.

METHODS

This study examined differences in ED use among African Americans with MCI and diabetes in a secondary data analysis of baseline data from a one-year randomized controlled trial (N = 101).

RESULTS

Over one year, 49/92 participants (53.3%) had at least one ED visit. At baseline, participants who had an incident ED visit had significantly fewer years of education; lower scores on neuropsychological tests assessing working memory, psychomotor speed, and complex scanning; higher diabetes-related interpersonal distress scores; lower adherence to a diabetes medication; and higher hemoglobin A1c levels compared to participants with no ED visits (p ≤ 0.05 for all comparisons).

CONCLUSIONS

This study identified multiple risk factors for ED visits in older African Americans with MCI and diabetes. Targeted interventions may be necessary to reduce the need for ED care in high risk populations.

Insulin Resistance is Associated with Central Pain in Patients with Fibromyalgia

BACKGROUND

Insulin resistance (IR) is a pathological condition in which cells fail to respond normally to insulin. IR has been associated with multiple conditions, including chronic pain. Fibromyalgia (FM) is one of the common generalized chronic painful conditions with an incidence rate affecting 3% to 6% of the population. Substantial interest and investigation into FM continue to generate  many hypotheses.The relationship between IR and FM has not been explored. IR is known to cause abnormalities in the cerebral microvasculature, leading to focal hypoperfusion. IR also has been shown to cause cognitive impairment in FM patients, as in parkinsonism. As demonstrated by advanced imaging methods, similar brain perfusion abnormalities occur in the brain of patients with FM as with IR.

OBJECTIVES

To determine the potential association between FM and IR.

SETTING

Subspecialty pain medicine clinics.

STUDY DESIGN

Observational cross-sectional study.

METHODS

Laboratory data was extracted through a retrospective review of medical records from patients who had met the American College of Rheumatology (ACR) criteria for FM. The Hemoglobin A1c (HbA1c) values from 33 patients with FM were compared with the means of the glycated HbA1c levels of 2 control populations. In addition, established indices of IR [Quantitative Insulin Sensitivity Check Index (QUICKI) and the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR)] were calculated in a subgroup of patients in whom the analytes necessary for these calculations were available. To assess for confounding factors, the associations between HbA1c, QUICKI, HOMA-IR, fasting insulin levels, and glucose, after controlling for age, were explored by multiple analyses of variance with relation to gender and ethnicity.

RESULTS

We found an association between IR and FM that was independent of age, gender, and ethnicity. We found that patients with FM belong to a distinct population that can be segregated from the control groups by their HbA1c levels, a surrogate marker of IR. This was demonstrated by analyzing the data after introducing an age correction into a linear regression model. This strategy showed significant differences between patients with FM and control subjects (P < 0.0001 and P  = 0.0002, for 2 separate control populations, respectively). A subgroup analysis using the QUICKI and HOMA-IR showed that all patients with FM in this subgroup (100%) exhibited laboratory abnormalities pointing to IR.

LIMITATIONS

Small observational cross-sectional study. There are also intrinsic limitations that are attributed to cross-sectional studies.

CONCLUSION

The association demonstrated in this study warrant further investigation, including the pursuit of randomized, double-blind clinical trials to determine the effect of improving insulin sensitivity in FM related pain scores. Such studies could unveil a potential pathogenetic relationship between FM, central pain, and IR. Based on these initial findings, we present the hypothesis that IR may underlie pathological mechanisms leading to central pain. If confirmed, this may lead to a paradigm shift in the management of central pain.

Diabetes mortality across the 30 biggest U.S. cities: Assessing overall trends and racial inequities

AIMS

National data suggest that diabetes mortality disproportionately affects Blacks compared to whites. We aimed to (1) calculate diabetes mortality rates (where diabetes was an underlying cause of death) among the general population of the U.S. and the largest 30 cities; (2) calculate Black/white mortality rate ratios and rate differences; and (3) compare changes in mortality rates and inequities across two 5-year periods (2008-2012 (T1) and 2013-2017 (T2)).

METHODS

We used vital statistics mortality data and American Community Survey population estimates.

RESULTS

The U.S. diabetes mortality rate at T1 was 20.91 per 100,000, and significantly increased to 21.05 at T2. El Paso had the highest diabetes mortality rate at both time points (T1 = 33.06; T2 = 35.98), while San Francisco had the lowest rate (T1 = 11.41; T2 = 13.18). The U.S. Black mortality rate was 2.21 times higher than the white rate at T2 (95%CI [2.19-2.23]). Eleven cities had significantly higher rate ratios than the U.S. at T2. The Black:white rate ratio in Washington, D.C. was approximately three times higher than the national rate ratio.

CONCLUSIONS

This city-level data is important to inform more targeted local policy interventions and programming to promote health equity, particularly within cities with the greatest inequities.

Racial and Ethnic Differences in Metabolic Disease in Adolescents With Obesity and Polycystic Ovary Syndrome

Context

Polycystic ovary syndrome (PCOS) is common and associated with metabolic syndrome. In the general population, metabolic disease varies by race and ethnicity.

Objective

This work aimed to examine in depth the interaction of race and ethnicity with PCOS-related metabolic disease in adolescent youth.

Methods

A secondary analysis was conducted of data from girls (age 12-21 years) with overweight or obesity (> 90 body mass index [BMI] percentile) and PCOS. Measurements included fasting hormone and metabolic measures, a 2-hour oral glucose tolerance test (OGTT), and magnetic resonance imaging for hepatic fat. Groups were categorized by race or ethnicity.

Results

Participants included 39 non-Hispanic White (NHW, age 15.7 ± 0.2 years; BMI 97.7 ± 0.2 percentile), 50 Hispanic (HW, 15.2 ± 0.3 years; 97.9 ± 0.3 percentile), and 12 non-Hispanic Black (NHB, 16.0 ± 0.6 years; 98.6 ± 0.4 percentile) adolescents. Hepatic markers of insulin resistance were worse in NHW, including lower sex hormone-binding globulin and higher triglycerides over high-density lipoprotein cholesterol (TGs/HDL-C) ratio (P = .002 overall, HW vs NHB [P = .009] vs NHW [P = 0.020]), although homeostasis model assessment of estimated insulin resistance was worst in NHB (P = .010 overall, NHW vs NHB P = .014). Fasting and 2-hour OGTT glucose were not different between groups, although glycated hemoglobin A_1c (HbA_1c) was lowest in NHW (overall P < .001, NHW 5.2 ± 0.3 vs HW 5.5 ± 0.3 P < .001 vs 5.7 ± 0.4%, P < .001). The frequency of hepatic steatosis (HW 62%, NHW 42%, NHB 25%, P = .032); low HDL-C < 40 mg/dL (HW 82%, NHW 61%, NHB 50%, P < .001) and prediabetes HbA_1c 5.7% to 6.4% (NHB 50%, HW 36%, NHW 5%, P < .001) were different between the groups.

Conclusion

Adolescents with PCOS appear to show similar racial and ethnic variation to the general population in terms of metabolic disease components.

Association of Baseline Characteristics With Insulin Sensitivity and β-Cell Function in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness (GRADE) Study Cohort

OBJECTIVE

We investigated sex and racial differences in insulin sensitivity, β-cell function, and glycated hemoglobin (HbA1c) and the associations with selected phenotypic characteristics.

RESEARCH DESIGN AND METHODS

This is a cross-sectional analysis of baseline data from 3,108 GRADE (Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study) participants. All had type 2 diabetes diagnosed <10 years earlier and were on metformin monotherapy. Insulin sensitivity and β-cell function were evaluated using the HOMA of insulin sensitivity and estimates from oral glucose tolerance tests, including the Matsuda Index, insulinogenic index, C-peptide index, and oral disposition index (DI).

RESULTS

The cohort was 56.6 ± 10 years of age (mean ± SD), 63.8% male, with BMI 34.2 ± 6.7 kg/m2, HbA1c 7.5 ± 0.5%, and type 2 diabetes duration 4.0 ± 2.8 years. Women had higher DI than men but similar insulin sensitivity. DI was the highest in Black/African Americans, followed by American Indians/Alaska Natives, Asians, and Whites in descending order. Compared with Whites, American Indians/Alaska Natives had significantly higher HbA1c, but Black/African Americans and Asians had lower HbA1c. However, when adjusted for glucose levels, Black/African Americans had higher HbA1c than Whites. Insulin sensitivity correlated inversely with BMI, waist-to-hip ratio, triglyceride-to-HDL-cholesterol ratio (TG/HDL-C), and the presence of metabolic syndrome, whereas DI was associated directly with age and inversely with BMI, HbA1c, and TG/HDL-C.

CONCLUSIONS

In the GRADE cohort, β-cell function differed by sex and race and was associated with the concurrent level of HbA1c. HbA1c also differed among the races, but not by sex. Age, BMI, and TG/HDL-C were associated with multiple measures of β-cell function and insulin sensitivity.

Low-Dose Aspirin Use Among African American Older Adults

OBJECTIVES

Existing epidemiologic information shows disparities in low-dose aspirin use by race. This study investigates the frequency, pattern, and correlates of both self- and clinician-prescribed low-dose aspirin use among underserved African Americans aged 55 years and older.

METHODS

This cross-sectional study conducted a comprehensive evaluation of all over-the-counter and prescribed medications used among 683 African American older adults in South Central Los Angeles, California. Correlation between use of low-dose aspirin and sociodemographic variables, health care continuity, health behaviors, and several major chronic medical conditions were examined. In addition, the use of low-dose aspirin as self prescribed versus clinician prescribed was examined. Multivariate logistic regression was performed to examine correlates of low-dose aspirin use.

RESULTS

Overall, 37% of participants were taking low-dose aspirin. Sixty percent of low-dose aspirin users were taking low-dose aspirin as self prescribed and 40% were taking it as prescribed by a clinician. Major aspirin-drug interactions were detected in 75% of participants who used low-dose aspirin, but no significant differences in aspirin-drug interactions were found between those who used aspirin as self prescribed and those who used it as clinician prescribed. No negative association between being diagnosed with gastrointestinal conditions and aspirin used was detected. Being diagnosed with diabetes mellitus or a heart condition was associated with higher use of aspirin. However, only 50% with high risk of cardiovascular took prescribed (38%) or self-prescribed (62%) low-dose aspirin. One third of participants aged 70 years and older with low risk of cardiovascular were using aspirin.

CONCLUSIONS

Among underserved African-American middle-aged and older adults, many who could potentially benefit from aspirin are not taking it; and many taking aspirin have no indication to do so and risk unnecessary side effects. Compared with non-Hispanic Whites, African Americans are more likely to be diagnosed with diabetes, hypertension, and heart conditions at earlier stages of life; as a result, the role of preventive intervention, including safe and appropriate use of low-dose aspirin among this segment of our population, is more salient. Interventional studies are needed to promote safe and effective use of low-dose aspirin among underserved African-American adults.

The Interaction between Hb A1C and Selected Genetic Factors in the African American Population in the USA

BACKGROUND

The global prevalence of diabetes mellitus has been growing in recent decades and the complications of longstanding type 2 diabetes continue to place a burden on healthcare systems. The hemoglobin A1c (Hb A1c) content of the blood is used to assess an individual's degree of glycemic control averaged over 2 to 3 months. In the USA, diabetes is the seventh leading cause of death. Black, indigenous, people of color (BIPOC) are disproportionately affected by diabetes compared to non-Hispanic whites. There are many reports of interaction of Hb A1c and hematologic conditions that have a high prevalence in the Black population; some of these effects are contradictory and not easily explained. This review attempts to document and categorize these apparently disparate effects and to assess any clinical impact.

METHODS

Hb A1C can be determined by a variety of techniques including cation-exchange chromatography, electrophoresis, immunoassays, and affinity chromatography. The amount of Hb A1c present in a patient specimen depends not only on blood glucose but is strongly influenced by erythrocyte survival and by structural variations in the globin chains. Sickling hemoglobinopathies are well-represented in the USA in African Americans and the effects of these hemoglobin disorders as well as G6PD deficiency is examined.

CONCLUSION

Hb A1c measurement should always be performed with a cautious approach. The laboratory scientist should be aware of possible pitfalls in unquestioningly determining Hb A1c without a consideration of hematologic factors, both inherited and acquired. This presents a challenge as often times, the laboratory is not aware of the patient's race.

The accuracy of provider diagnosed diabetes type in youth compared to an etiologic criteria in the SEARCH for Diabetes in Youth Study

BACKGROUND

Although surveillance for diabetes in youth relies on provider-assigned diabetes type from medical records, its accuracy compared to an etiologic definition is unknown.

METHODS

Using the SEARCH for Diabetes in Youth Registry, we evaluated the validity and accuracy of provider-assigned diabetes type abstracted from medical records against etiologic criteria that included the presence of diabetes autoantibodies (DAA) and insulin sensitivity. Youth who were incident for diabetes in 2002-2006, 2008, or 2012 and had complete data on key analysis variables were included (n = 4001, 85% provider diagnosed type 1). The etiologic definition for type 1 diabetes was ≥1 positive DAA titer(s) or negative DAA titers in the presence of insulin sensitivity and for type 2 diabetes was negative DAA titers in the presence of insulin resistance.

RESULTS

Provider diagnosed diabetes type correctly agreed with the etiologic definition of type for 89.9% of cases. Provider diagnosed type 1 diabetes was 96.9% sensitive, 82.8% specific, had a positive predictive value (PPV) of 97.0% and a negative predictive value (NPV) of 82.7%. Provider diagnosed type 2 diabetes was 82.8% sensitive, 96.9% specific, had a PPV and NPV of 82.7% and 97.0%, respectively.

CONCLUSION

Provider diagnosis of diabetes type agreed with etiologic criteria for 90% of the cases. While the sensitivity and PPV were high for youth with type 1 diabetes, the lower sensitivity and PPV for type 2 diabetes highlights the value of DAA testing and assessment of insulin sensitivity status to ensure estimates are not biased by misclassification.

Hyperglycemia recognised in early pregnancy is phenotypically type 2 diabetes mellitus not gestational diabetes mellitus: a case control study

Objective: Gestational diabetes mellitus is defined as "diabetes recognized in the second or third trimester that is not clearly overt diabetes". Evidence relating to women with hyperglycemia early in pregnancy is limited. We aimed to evaluate women diagnosed with hyperglycemia early in pregnancy (eGDM) and compared them to those with pregestational established type 2 diabetes mellitus (T2DM) and gestational diabetes diagnosed routinely at 24-28-week gestation (rtGDM) to determine if the length of exposure to hyperglycemia adversely affected outcomes.Methods: Forty consecutive women with eGDM who attended a multidisciplinary antenatal clinic were reviewed. Two separate BMI-matched control groups were identified, recognized pregestational T2DM (n = 80) and rtGDM (n = 80). Baseline demographics and outcomes were compared.Results: A higher proportion of women in the eGDM and T2DM group required insulin and the incidence of hypertensive disorders was similarly increased compared with the rtGDM group (88.6, 77.0 versus 8.1%, p < .001 and 42.5%, 37.5 versus 12.5% p < .001, respectively). The proportion of infants born small for gestational age varied (eGDM 11.1%, T2DM 13.0%, and rtGDM 2.5%, p=.049). Postpartum, 7.5% of eGDM women were diagnosed with T2DM versus 1.3% in the rtGDM group (p<.001).Conclusions: These novel data demonstrate that the length of exposure to glucose adversely affects materno-foetal outcomes independent of maternal adiposity.

Differences in Persistently Elevated Hemoglobin A1c for African American and White Patients and the Role of Provider-Level Variation

African Americans with type 2 diabetes (T2D) have higher average A1c levels than White patients. However, few studies have examined racial disparities in diabetes management in primary care, particularly provider-level variability. Study goals were to analyze racial differences for patients with any/2 or more elevated A1cs, explore patterns of visits/providers seen in patients with ≥1 elevated A1c, and explore the contributions of provider variability in patient A1c. A retrospective secondary analysis of electronic medical record data from a large urban health system was conducted, involving adult African American or White patients (ages18-65 years) with ≥2 measured A1cs between January 1, 2017-February 1, 2018. Descriptive statistics were calculated for demographic variables; paired t tests evaluated changes in A1c levels across the 2 most recent measurements, and a repeated measures ANOVA evaluated the impact of race on A1c changes. Logistic regression analyses examined the relationship of race with any elevated A1c levels and persistent A1c levels (≥ 2 consecutive A1c measurements ≥8.5). The intraclass correlation coefficient (ICC) estimated clustering of A1c by provider. A total of 1764 patients were included. African Americans were more likely to have any (odds ratio [OR] = 1.48, P < .001) and persistently elevated A1c (OR = 1.75, P = .0003). ICC was .27 for any elevated A1c and .32 for persistently elevated A1c. In primary care patients with T2D, African Americans were more likely than Whites to have any/persistently elevated A1c, with substantial variability attributable to the provider. Further research is needed to better understand patient- and provider-level contributors to A1c disparities.

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.

Geographic and Racial/Ethnic Variation in Glycemic Control and Treatment in a National Sample of Veterans With Diabetes

OBJECTIVE

Geographic and racial/ethnic disparities related to diabetes control and treatment have not previously been examined at the national level.

RESEARCH DESIGN AND METHODS

A retrospective cohort study was conducted in a national cohort of 1,140,634 veterans with diabetes, defined as two or more diabetes ICD-9 codes (250.xx) across inpatient and outpatient records. Main exposures of interest included 125 Veterans Administration Medical Center (VAMC) catchment areas as well as racial/ethnic group. The main outcome measure was HbA1c level dichotomized at ≥8.0% (≥64 mmol/mol).

RESULTS

After adjustment for age, sex, racial/ethnic group, service-connected disability, marital status, and the van Walraven Elixhauser comorbidity score, the prevalence of uncontrolled diabetes varied by VAMC catchment area, with values ranging from 19.1% to 29.2%. Moreover, these differences largely persisted after further adjusting for medication use and adherence as well as utilization and access metrics. Racial/ethnic differences in diabetes control were also noted. In our final models, compared with non-Hispanic Whites, non-Hispanic Blacks (odds ratio 1.11 [95% credible interval 1.09-1.14]) and Hispanics (1.36 [1.09-1.14]) had a higher odds of uncontrolled HBA1c level.

CONCLUSIONS

In a national cohort of veterans with diabetes, we found geographic as well as racial/ethnic differences in diabetes control rates that were not explained by adjustment for demographics, comorbidity burden, use or type of diabetes medication, health care utilization, access metrics, or medication adherence. Moreover, disparities in suboptimal control appeared consistent across most, but not all, VAMC catchment areas, with non-Hispanic Black and Hispanic veterans having a higher odds of suboptimal diabetes control than non-Hispanic White veterans.