Sex Differences in Factors Contributing to the Racial Disparity in Diabetes Risk

Racial and Ethnic Disparities in Blood Pressure and Glycemic Control in the US Community Health Center Patient Population

OBJECTIVE

To describe blood pressure and glycemic control by racial/ethnic group in the US Community Health Center (CHC) patient population, and whether center characteristics, proxying for higher resource levels and better quality of care, were associated with greater rates of controlled cardiometabolic conditions.

METHODS

Data came from the Uniform Data System, representing aggregate patient clinical data for individual health centers in 2019. Descriptive analyses were conducted weighting by health center patient populations to produce race-specific national rates of blood pressure and glycemic control, and linear regression is used to test whether cardiometabolic control rates varied by center characteristics.

RESULTS

Hypertension was controlled for 67.2% of non-Hispanic White, 66.9% of Hispanic, and 56.7% of non-Hispanic Black patients. Diabetes was controlled for 70.7% of non-Hispanic White, 65.7% of Hispanic, and 66.1% of non-Hispanic Black patients. The rate of blood pressure control was 2.54 to 3.99 percentage points higher across racial/ethnic groups in health centers that adopted a patient-centered medical home (PCMH) model of care relative to non-PCMH centers, while glycemic control was 1.08 to 2.27 pp. higher as a function of PCMH certification. Results for other center characteristics did not show consistent patterns across racial groups or outcomes.

CONCLUSION

This study documented racial and ethnic health disparities in the CHC patient population after major expansion of the CHC program. CHCs with PCMH certification have improved clinical outcomes among patients with hypertension and diabetes across racial/ethnic groups relative to centers without this certification.

Poorly controlled diabetes: Glycosylated hemoglobin (HA1c) levels >8% are the tipping point for significantly worse outcomes following hip fracture in the geriatric population

INTRODUCTION

The presence of diabetes has been associated with increased mortality risk after hip fracture, however, little has been published about the lab values of these diabetic patients and the role high labs play in morbidity and mortality. The purpose of this study is to quantify the severity of diabetes that is associated with worse outcomes in hip fracture patients.

METHODS

A consecutive series of 2430 patients >55 years old who sustained a hip fracture between October 2014-November 2021 were reviewed for demographics, hospital quality measures, and outcomes. Each patient with a diagnosis of diabetes mellitus (DM) was reviewed for hemoglobin-A1c (HA1c) and glucose values at admission. Univariable comparisons and multivariable regression analyses were conducted to assess the impact of diabetes and elevated lab values (HA1c) on outcomes such as hospital quality measures, inpatient complications, readmission rates, and mortality rates.

RESULTS

565 patients (23%) carried a diagnosis of diabetes mellitus at the time of their injury. Considerable demographic and comorbidity differences between diabetic and non-diabetic cohorts indicated that the diabetic cohort was less healthy. The diabetic cohort had longer hospitalizations, higher rates of minor complications, readmissions within 90-days, and mortality within 30-days/1-year. Stratification by HA1c levels found patients with a HA1c>8% had a significantly higher rate of major complications, and mortality at all time points (inpatient/30-day/1-year). Multivariable regression found HA1c>8% to be independently associated with a higher rate of inpatient/30-day/1-year mortality in comparison to a diagnosis of diabetes alone which was not independently significant.

CONCLUSION

While all patients with DM experienced worse outcomes than those without, those with poorly controlled diabetes (HA1c>8%) at the time of hip fracture injury experienced poorer outcomes compared to those with well-controlled diabetes. Treating physicians must recognize these patients with poorly controlled DM at the time of arrival to adjust care planning and patient expectations accordingly.