Racial disparities in cardiovascular risk factor control in an underinsured population with Type 2 diabetes

Ameliorating Racial Disparities in Vascular Risk Factor Management With Aggressive Medical Management in the SAMMPRIS Trial

BACKGROUND

The WASID trial (Warfarin-Aspirin Symptomatic Intracranial Disease) and the SAMMPRIS trial (Stenting and Aggressive Medical Management for Preventing Recurrent Stroke in Intracranial Stenosis) evaluated optimal management of symptomatic intracranial atherosclerotic stenosis. The aim of this retrospective, observational study was to determine whether aggressive medical management used in the SAMMPRIS trial ameliorated disparities in risk factor control between Black and non-Black patients.

METHODS

The SAMMPRIS trial was a randomized controlled trial that enrolled patients with symptomatic intracranial atherosclerotic stenosis between November 2008 and April 2011. The frequency of risk factors at study entry (baseline) and mean levels of systolic blood pressure, diastolic blood pressure, LDL (low-density lipoprotein), hemoglobin A1c, and exercise level (quantified by physician-based assessment and counseling for exercise score) at baseline and at 1 year of follow-up were compared between Black (n=104) versus non-Black patients (n=347).

RESULTS

Significant differences at baseline in Black patients (listed first) versus non-Black patients were age (57.5 versus 61.0 years; P=0.004), hypertension (95.2% versus 87.5%; P=0.027), diabetes (52.9% versus 39.7%; P=0.017), mean diastolic blood pressure (82.4 versus 79.5 mm Hg; P=0.035), and mean physician-based assessment and counseling for exercise score (2.7 versus 3.3; P=0.002). The mean diastolic blood pressure and mean physician-based assessment and counseling for exercise scores at 1 year in Black versus non-Black patients were 74.7 versus 75.5 mm Hg (P=0.575) and 4.2 versus 4.1 (P=0.593), respectively. No disparities in other modifiable risk factors emerged at 1 year.

CONCLUSIONS

Significant differences in important risk factors (physical activity and diastolic blood pressure) at baseline between Black and non-Black patients resolved at 1 year, suggesting that aggressive medical management may have an important role in ameliorating disparities in risk factor control between Black and non-Black patients.

Association Between Cardiovascular Disease Risk Factors and Mortality in Adults With Diabetes: A Stratified Analysis by Sex, Race, and Ethnicity

Objectives: To assess sex and racial/ethnic differences in the relationship between multiple cardiovascular disease (CVD) risk factors and mortality among a nationally representative sample of adults with diabetes.

Methods: Data were analyzed from 3,503 adults with diabetes from the National Health and Nutrition Examination Survey 2001–2010 and its linked mortality data through 31 December 2011. The outcome was mortality; the independent variables were sex and race/ethnicity. Covariates included demographics, comorbidity, and lifestyle variables. Cox proportional hazards regression was used to test associations between mortality and CVD risk factors.

Results: In adjusted analyses, the association between diastolic blood pressure and mortality was significantly different by sex and race/ethnicity (unadjusted p = 0.009; adjusted p = 0.042). Kaplan-Meier survival curves showed Hispanic women had the highest survival compared to Hispanic men and Non-Hispanic Black (NHB) and Non-Hispanic White (NHW) men and women; NHW men had the lowest survival probability.

Conclusion: In this nationally representative sample, stratified analyses showed women had higher survival rates compared to men within each race/ethnicity group, and Hispanic women had the highest survival compared to all other groups.

Practical use of electronic health records among patients with diabetes in scientific research

Electronic health (medical) records, which are also considered as patients’ information that are routinely collected, provide a great chance for researchers to develop an epidemiological understanding of disease. Electronic health records systems cannot develop without the advance of computer industries. While conducting clinical trials that are always costly, feasible and reasonable analysis of routine patients’ information is more cost-effective and reflective of clinical practice, which is also called real world study. Real world studies can be well supported by big data in healthcare industry. Real world studies become more and more focused and important with the development of evidence-based medicine. These big data will definitely help in making decisions, making policies and guidelines, monitoring of effectiveness and safety on new drugs or technologies. Extracting, cleaning, and analyzing such big data will be a great challenge for clinical researchers. Successful applications and developments of electronic health record in western countries (eg, disease registries, health insurance claims, etc) have provided a clear direction for Chinese researchers. However, it is still at primary stages in China. This review tries to provide a full perspective on how to translate the electronic health records into scientific achievements, for example, among patients with diabetes. As a summary in the end, resource sharing and collaborations are highly recommended among hospitals and healthcare groups.

Population segmentation of type 2 diabetes mellitus patients and its clinical applications - a scoping review

Background

Population segmentation permits the division of a heterogeneous population into relatively homogenous subgroups. This scoping review aims to summarize the clinical applications of data driven and expert driven population segmentation among Type 2 diabetes mellitus (T2DM) patients.

Methods

The literature search was conducted in Medline®, Embase®, Scopus® and PsycInfo®. Articles which utilized expert-based or data-driven population segmentation methodologies for evaluation of outcomes among T2DM patients were included. Population segmentation variables were grouped into five domains (socio-demographic, diabetes related, non-diabetes medical related, psychiatric / psychological and health system related variables). A framework for PopulAtion Segmentation Study design for T2DM patients (PASS-T2DM) was proposed.

Results

Of 155,124 articles screened, 148 articles were included. Expert driven population segmentation approach was most commonly used, of which judgemental splitting was the main strategy employed (n = 111, 75.0%). Cluster based analyses (n = 37, 25.0%) was the main data driven population segmentation strategies utilized. Socio-demographic (n = 66, 44.6%), diabetes related (n = 54, 36.5%) and non-diabetes medical related (n = 18, 12.2%) were the most used domains. Specifically, patients’ race, age, Hba1c related parameters and depression / anxiety related variables were most frequently used. Health grouping/profiling (n = 71, 48%), assessment of diabetes related complications (n = 57, 38.5%) and non-diabetes metabolic derangements (n = 42, 28.4%) were the most frequent population segmentation objectives of the studies.

Conclusions

Population segmentation has a wide range of clinical applications for evaluating clinical outcomes among T2DM patients. More studies are required to identify the optimal set of population segmentation framework for T2DM patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12874-021-01209-w.

Treatment Utilization and Socioeconomic Disparities in the Surgical Management of Gastroparesis

BACKGROUND

Gastroparesis is an end-organ sequela of diabetes. We evaluated the roles of race and socioeconomic status in hospitalization rates and utilization of surgical treatments in these patients.

METHODS

Data was extracted from the National Inpatient Sample (NIS) between the years 2012 and 2014, and any discharge diagnosis of gastroparesis (536.3) was included. Gastrostomy, jejunostomy, and total parenteral nutrition were considered nutritional support procedures, and procedures aimed at improving motility were considered definitive disease-specific procedures: pyloroplasty, endoscopic pyloric dilation, gastric pacemaker placement, and gastrectomy.

RESULTS

There were 747,500 hospitalizations reporting a discharge diagnosis of gastroparesis. On multivariable analysis, black race (OR 1.93, 95% CI 1.89-1.98; p < 0.001) and Medicaid insurance (OR 1.46, 95% CI 1.42-1.50; p < 0.001) were the strongest socioeconomic risk factors for hospitalization due to gastroparesis. Patients in urban teaching institutions were most likely to undergo a surgical intervention for gastroparesis (5.53% of patients versus 3.94% of patients treated in urban non-teaching hospitals and 2.38% of patients in rural hospitals; p < 0.001). Uninsured patients were less than half as likely to receive treatment compared to those with private insurance (OR 0.41, 95% CI 0.34-0.48; p < 0.001), and black patients had an OR 0.75 (95% CI 0.69-0.81; p < 0.001) for receiving treatment. Urban teaching hospitals had a twofold higher likelihood of intervention (OR 2.12, 95% CI 1.84-2.44; p < 0.001).

CONCLUSIONS

Marked racial and economic disparities exist in surgical distribution of care for gastroparesis, potentially driven by differences in utilization of care.

Ethnic and gender differences in the management of type 2 diabetes: a cross-sectional study from Norwegian general practice

Background

Ethnic minority groups from Asia and Africa living in Western countries have a higher prevalence of type 2 diabetes (T2DM) than the general population. We aimed to assess ethnic differences in diabetes care by gender.

Methods

Population-based, cross-sectional study identified 10,161 individuals with T2DM cared for by 282 General Practitioners (GP) in Norway. Ethnicity was based on country of birth. Multilevel regression models adjusted for individual and GP factors were applied to evaluate ethnic differences by gender.

Results

Diabetes was diagnosed at a younger mean age in all other ethnic groups compared with Westerners (men: 45.9–51.6 years vs. 56.4 years, women: 44.9–53.8 years vs. 59.1 years). Among Westerners mean age at diagnosis was 2.7 years higher in women compared with men, while no gender difference in age at diagnosis was found in any minority group. Daily smoking was most common among Eastern European, South Asian and Middle East/North African men. In both genders, we found no ethnic differences in processes of care (GPs’ measurement of HbA1c, blood pressure, LDL-cholesterol, creatinine). The proportion who achieved the HbA1c treatment target was higher in Westerners (men: 62.3%; women: 66.1%), than in ethnic minorities (men 48.2%; women 53.5%). Compared with Western men, the odds ratio (OR) for achieving the target was 0.45 (95% CI 0.27 to 0.73) in Eastern European; 0.67 (0.51 to 0.87) in South Asian and 0.62 (0.43 to 0.88) in Middle Eastern/North African men. Compared with Western women, OR was 0.49 (0.28 to 0.87) in Eastern European and 0.64 (0.47 to 0.86) South Asian women.

Compared with Westerners, the blood pressure target was more often achieved in South Asians and Middle Easterners/North Africans in both genders. Small ethnic differences in achieving the LDL-cholesterol treatment target by gender were found.

Conclusion

Diabetes was diagnosed at a considerably earlier age in both minority men and minority women compared with Westerners. Several minority groups had worse glycaemic control compared with Westerners in both genders, which implies that it is necessary to improve glucose lowering treatment for the minority groups. Smoking cessation advice should particularly be offered to men in most minority groups.

Race and sex differences in rates of diabetic complications

BACKGROUND

Studies on racial differences in diabetic complications are very limited. The aim of this study was to investigate the race and sex differences in diabetic complications between African Americans and Whites with type 2 diabetes (T2D) in Louisiana.

METHODS

A prospective cohort study was performed of 27 113 African Americans and 40 431 Whites with T2D who were 35 to 95 years of age from three healthcare systems located in south Louisiana. Four major diabetic complications were assessed: coronary heart disease (CHD), heart failure, stroke, and end-stage renal disease (ESRD).

RESULTS

The age- and sex-adjusted incident rates per 1000 person-years and 95% confidence intervals (CI) for CHD, heart failure, stroke, and ESRD for African Americans with diabetes were 43.1 (95% CI 41.6-44.6), 36.6 (95% CI 35.2-37.9), 29.6 (95% CI 28.4-30.8), and 38.3 (95% CI 36.9-39.7), respectively. Cox regression models showed that African American women had a higher risk than White women for heart failure (hazard ratio (HR) 1.26; 95% CI 1.18-1.34), stroke (HR 1.15; 95% CI 1.08-1.22), and ESRD (HR 1.32; 95% CI 1.24-1.40), whereas African American men had higher risks than White men for heart failure (HR 1.33; 95% CI 1.25-1.43) and ESRD (HR 1.47; 95% CI 1.37-1.57) but a lower risk of CHD (HR 0.88; 95% CI 0.83-0.94).

CONCLUSIONS

The incidence of major diabetic complications varied among difference race and sex groups. More race- or sex-specific studies on complications in patients with diabetes are needed to see whether incident rates are changing over time.

Health insurance status affects hypertension control in a hospital based internal medicine clinic

Hypertension is a worldwide disorder that contributes significantly to morbidity, mortality, and healthcare costs in both developed and developing communities. A retrospective cohort study of hypertensive patients attending the Internal Medicine continuity clinic at Nashville General Hospital (NGH) between January and December 2007 was conducted. Given the easy access to health care at NGH and affordable Blood pressure (BP) medications, we explored the ability to achieve optimal BP control <140/90 ​mmHg and evaluated which factors are associated. Of the 199 subjects, 59% achieved BP goal <140/90 ​mmHg. The mean BP was 139/80 ​mmHg. Health insurance status was associated with SBP and DBP (All P ​< ​0.046). Patients with health insurance had a 2.2 fold increased odds of achieving BP control compared to patients without health insurance (P ​= ​0.025). Furthermore, the number of BP medications used was significantly associated with SBP and DBP (All P ​< ​0.003). Patients taking more than three BP medications had a 58% reduced odds of achieving optimal BP control compared to patients taking one medication (P ​= ​0.039). Ethnicity was not associated with achieving BP control. Our study revealed the number of BP medications used and health insurance status, are factors associated with achieving BP control.

Longitudinal Analysis of Racial/Ethnic Trends in Quality Outcomes in Community Health Centers, 2009-2014

BACKGROUND

To monitor progress towards eliminating health disparities, community health centers have reported on hypertension control, diabetes control, and birthweight by race and ethnicity since 2008.

OBJECTIVE

To evaluate racial/ethnic time trends in quality outcomes in health centers and to assess both within- and between-center disparities in outcomes.

DESIGN AND SAMPLE

Using 2009-2014 data from all US health centers (n = 1047 centers, serving 19.6 million patients/year), we evaluated racial/ethnic time trends in quality outcomes for health centers and assessed within- and between-center disparities.

MAIN MEASURES

Percentage of patients achieving control of blood pressure < 140/90 mmHg among hypertensive persons, control of glycosylated hemoglobin ≤ 9.0% among diabetic persons, and birthweight ≥ 2500 g. All outcomes were reported by race/ethnicity.

KEY RESULTS

There was no evidence of improved outcomes among racial/ethnic subgroups from 2009 to 2014, though electronic health record adoption, medical recognition, and insurance coverage rates increased substantially. Two exceptions were increased rates of normal birthweight for black patients (87.0% to 88.8%, or 0.3 percentage points/year, p = 0.02) and decreased rates of diabetes control for white patients (74.2% to 69.5%, or -1.0 percentage points/year, p < 0.01). Within centers, the largest racial/ethnic disparities in 2009 were white/black disparities in hypertension control (8.7 percentage points, 95% CI 7.4-10.1), white/black disparities in diabetes control (3.4 percentage points, 95% CI 2.0-4.7), and white/Hispanic disparities in diabetes control (4.4 percentage points, 95% CI 2.8-6.0). All disparities remained statistically unchanged from 2009 to 2014. White patients were more likely to be seen at a health center in the top performance quintile compared with black and Hispanic patients (p < 0.001).

CONCLUSIONS

Though quality outcomes in health centers continued to compare favorably to other care settings, we found no evidence of improved quality or reduced disparities in diabetes control, hypertension control, or birthweight from 2009 to 2014. Within- and between-center racial/ethnic disparities in quality were evident, and both should be targeted in future interventions.

Metformin for Reducing Racial/Ethnic Difference in Prostate Cancer Incidence for Men with Type II Diabetes

Racial/ethnic disparity in prostate cancer is under studied in men with diabetes who are at a higher risk of aggressive prostate cancer. This study assessed the race/ethnic disparity in prostate cancer incidence for men with type II diabetes (T2D) and whether the impact of metformin on prostate cancer incidence varied by race/ethnicity. We conducted a retrospective study in 76,733 male veterans with T2D during 2003 to 2012. Cox proportional hazards model adjusting for covariates and propensity scores of metformin use and race/ethnic group membership was utilized to compute the HR of prostate cancer incidence associated with race/ethnicity and compare HR associated with metformin use between race/ethnic groups. Mean follow-up was 6.4 ± 2.8 years; 7% were Hispanics; 17% were African Americans (AA); mean age was 67.8 ± 9.8 years; 5.2% developed prostate cancer; and 38.9% used metformin. Among these diabetic men without metformin use, prostate cancer incidence was higher in Hispanics and AA than in non-Hispanic White (NHW). Use of metformin alone or metformin + statins was associated with a greater prostate cancer incidence reduction in Hispanics compared with NHW, but not between AA and NHW. Use of metformin + finasteride was associated with a greater prostate cancer incidence reduction in Hispanics and AA compared with NHW. Our results suggested that metformin treatment could be a potential strategy to reduce prostate cancer incidence in the minority populations who are at high risk for fatal prostate cancer. It will be important to further examine the pleiotropic effects of metformin in multi-race/ethnic prospective studies to better inform clinical management and potentially reduce racial/ethnic disparity in prostate cancer incidence among diabetic men. Cancer Prev Res; 9(10); 779-87. ©2016 AACR.

Prevalence of and Racial Disparities in Risk Factor Control in Older Adults With Diabetes: The Atherosclerosis Risk in Communities Study

OBJECTIVE

Controversy surrounds appropriate risk factor targets in older adults with diabetes. We evaluated the proportion of older adults with diabetes meeting different targets, focusing on possible differences by race, and assessed whether demographic and clinical characteristics explained disparities.

RESEARCH DESIGN AND METHODS

We conducted a cross-sectional study of 5,018 participants aged 67-90 years (1,574 with and 3,444 without diagnosed diabetes) who attended visit 5 of the Atherosclerosis Risk in Communities (ARIC) study (2011-2013). Risk factor targets were defined using both stringent (and less stringent) goals: hemoglobin A1c (HbA1c) <7%, <53 mmol/mol (<8%, <64 mmol/mol); LDL cholesterol (LDL-c) <100 mg/dL (<130 mg/dL); and blood pressure (BP) <140/90 mmHg (<150/90 mmHg). We used Poisson regression to obtain prevalence ratios (PRs).

RESULTS

Most older adults with diabetes met stringent (and less stringent) targets: 72% (90%) for HbA1c, 63% (86%) for LDL-c, and 73% (87%) for BP; but only 35% (68%) met all three. A higher proportion of whites than blacks met targets, however defined. Among people treated for risk factors, racial disparities in prevalence of meeting stringent targets persisted even after adjustment: PRs (whites vs. blacks) were 1.03 (95% CI 0.91, 1.17) for HbA1c, 1.21 (1.09, 1.35) for LDL-c, 1.10 (1.00, 1.21) for BP, and 1.28 (0.99, 1.66) for all three. Results were similar but slightly attenuated using less stringent goals. Black women were less likely than white women to meet targets for BP and all three risk factors; this disparity was not observed in men.

CONCLUSIONS

Black-white disparities in risk factor control in older adults with diabetes were not fully explained by demographic or clinical characteristics and were greater in women than men. Further study of determinants of these disparities is important.