Black-White Disparities: More Than Just Race

Impact of Race/Ethnicity on Hospital Resource Utilization After Elective Anterior Cervical Decompression and Fusion for Degenerative Myelopathy

INTRODUCTION

With the advent of bundled care payments for spine surgery, there is increasing scrutiny on the costs and resource utilization associated with surgical care. The purpose of this study was to compare (1) the total cost of the hospital episode of care and (2) discharge destination between White, Black, and Hispanic patients receiving elective anterior cervical decompression and fusion for degenerative cervical myelopathy (DCM) in Medicare patients.

METHODS

The 2019 Medicare Provider Analysis and Review Limited Data Set and the 2019 Impact File were used for this project. Multivariate models were created for total cost and discharge destination, controlling for confounders found on univariate analysis. We then performed a subanalysis for differences in specific cost-center charges.

RESULTS

There were 11,506 White (85.4%), 1,707 Black (12.7%), and 261 Hispanic (1.9%) patients identified. There were 6,447 males (47.8%) and 7,027 females (52.2%). Most patients were between 65 to 74 years of age (n = 7,101, 52.7%). The mean cost of the hospital episode was $20,919 ± 11,848. Most patients were discharged home (n = 11,584, 86.0%). Race/ethnicity was independently associated with an increased cost of care (Black: $783, Hispanic: $1,566, P = 0.001) and an increased likelihood of nonhome discharge (Black: adjusted odds ratio: 1.990, P < 0.001, Hispanic: adjusted odds ratio: 1.822, P < 0.001) compared with White patients. Compared with White patients, Black patients were charged more for accommodations ($1808), less for supplies (-$1780), and less for operating room (-$1072), whereas Hispanic patients were charged more ($3556, $7923, and $5162, respectively, P < 0.05).

CONCLUSION

Black and Hispanic race/ethnicity were found to be independently associated with an increased cost of care and risk for nonhome discharge after elective anterior cervical decompression and fusion for DCM compared with White patients. The largest drivers of this disparity appear to be accommodation, medical/surgical supply, and operating room-related charges. Further analysis of these racial disparities should be performed to improve value and equity of spine care for DCM.

Social risk factors predicting outcomes of cervical myelopathy surgery

OBJECTIVE

Combinations of certain social risk factors of race, sex, education, socioeconomic status (SES), insurance, education, employment, and one's housing situation have been associated with poorer pain and disability outcomes after lumbar spine surgery. To date, an exploration of such factors in patients with cervical spine surgery has not been conducted. The objective of the current work was to 1) define the social risk phenotypes of individuals who have undergone cervical spine surgery for myelopathy and 2) analyze their predictive capacity toward disability, pain, quality of life, and patient satisfaction-based outcomes.

METHODS

The Cervical Myelopathy Quality Outcomes Database was queried for the period from January 2016 to December 2018. Race/ethnicity, educational attainment, SES, insurance payer, and employment status were modeled into unique social phenotypes using latent class analyses. Proportions of social groups were analyzed for demonstrating a minimal clinically important difference (MCID) of 30% from baseline for disability, neck and arm pain, quality of life, and patient satisfaction at the 3-month and 1-year follow-ups.

RESULTS

A total of 730 individuals who had undergone cervical myelopathy surgery were included in the final cohort. Latent class analysis identified 2 subgroups: 1) high risk (non-White race and ethnicity, lower educational attainment, not working, poor insurance, and predominantly lower SES), n = 268, 36.7% (class 1); and 2) low risk (White, employed with good insurance, and higher education and SES), n = 462, 63.3% (class 2). For both 3-month and 1-year outcomes, the high-risk group (class 1) had decreased odds (all p < 0.05) of attaining an MCID score in disability, neck/arm pain, and health-related quality of life. Being in the low-risk group (class 2) resulted in an increased odds of attaining an MCID score in disability, neck/arm pain, and health-related quality of life. Neither group had increased or decreased odds of being satisfied with surgery.

CONCLUSIONS

Although 2 groups underwent similar surgical approaches, the social phenotype involving non-White race/ethnicity, poor insurance, lower SES, and poor employment did not meet MCIDs for a variety of outcome measures. This finding should prompt surgeons to proactively incorporate socially conscience care pathways within healthcare systems, as well as to optimize community-based resources to improve outcomes and personalize care for populations at social risk.

Advancing Equity in Blood Pressure Control: A Response to the Surgeon General's Call-to-Action

Hypertension is an established risk factor for cardiovascular disease. Although controlling blood pressure reduces cardiovascular and stroke mortality and target organ damage, poor blood pressure control remains a clinical and public health challenge. Furthermore, racial and ethnic disparities in the outcomes of hypertension are well documented. In October of 2020, the U.S. Department of Health and Human Services published The Surgeon General's Call to Action to Control Hypertension. The Call to Action emphasized, among other priorities, the need to eliminate disparities in the treatment and control of high blood pressure and to address social determinants as root causes of inequities in blood pressure control and treatment. In support of the goals set in the Call to Action, this review summarizes contemporary research on racial, ethnic, and socioeconomic disparities in hypertension and blood pressure control; describes interventions and policies that have improved blood pressure control in minoritized populations by addressing the social determinants of health; and proposes next steps for achieving equity in hypertension and blood pressure control.

Your neighborhood matters: A machine-learning approach to the geospatial and social determinants of health in 9-1-1 activated chest pain

Healthcare disparities in the initial management of patients with acute coronary syndrome (ACS) exist. Yet, the complexity of interactions between demographic, social, economic, and geospatial determinants of health hinders incorporating such predictors in existing risk stratification models. We sought to explore a machine-learning-based approach to study the complex interactions between the geospatial and social determinants of health to explain disparities in ACS likelihood in an urban community. This study identified consecutive patients transported by Pittsburgh emergency medical service for a chief complaint of chest pain or ACS-equivalent symptoms. We extracted demographics, clinical data, and location coordinates from electronic health records. Median income was based on US census data by zip code. A random forest (RF) classifier and a regularized logistic regression model were used to identify the most important predictors of ACS likelihood. Our final sample included 2400 patients (age 59 ± 17 years, 47% Females, 41% Blacks, 15.8% adjudicated ACS). In our RF model (area under the receiver operating characteristic curve of 0.71 ± 0.03) age, prior revascularization, income, distance from hospital, and residential neighborhood were the most important predictors of ACS likelihood. In regularized regression (akaike information criterion = 1843, bayesian information criterion = 1912, χ²  = 193, df = 10, p < 0.001), residential neighborhood remained a significant and independent predictor of ACS likelihood. Findings from our study suggest that residential neighborhood constitutes an upstream factor to explain the observed healthcare disparity in ACS risk prediction, independent from known demographic, social, and economic determinants of health, which can inform future work on ACS prevention, in-hospital care, and patient discharge.

Racial Differences in AKI Incidence Following Percutaneous Coronary Intervention

BACKGROUND

Undergoing percutaneous coronary intervention (PCI) is a risk factor for AKI development, but few studies have quantified racial differences in AKI incidence after this procedure.

METHODS

We examined the association of self-reported race (Black, White, or other) and baseline eGFR with AKI incidence among patients who underwent PCI at Duke University Medical Center between January 1, 2003, and December 31, 2013. We defined AKI as a 0.3 mg/dl absolute increase in serum creatinine within 48 hours, or ≥1.5-fold relative elevation within 7 days post-PCI from the reference value ascertained within 30 days before PCI.

RESULTS

Of 9422 patients in the analytic cohort (median age 63 years; 33% female; 75% White, 20% Black, 5% other race), 9% developed AKI overall (14% of Black, 8% of White, 10% of others). After adjustment for demographics, socioeconomic status, comorbidities, predisposing medications, PCI indication, periprocedural AKI prophylaxis, and PCI procedural characteristics, Black race was associated with increased odds for incident AKI compared with White race (odds ratio [OR], 1.79; 95% confidence interval [95% CI], 1.48 to 2.15). Compared with Whites, odds for incident AKI were not significantly higher in other patients (OR, 1.30; 95% CI, 0.93 to 1.83). Low baseline eGFR was associated with graded, higher odds of AKI incidence (P value for trend <0.001); however, there was no interaction between race and baseline eGFR on odds for incident AKI (P value for interaction = 0.75).

CONCLUSIONS

Black patients had greater odds of developing AKI after PCI compared with White patients. Future investigations should identify factors, including multiple domains of social determinants, that predispose Black individuals to disparate AKI risk after PCI.

Race-based and sex-based differences in bioactive lipid mediators after myocardial infarction

AIMS

Leucocyte-directed specialized pro-resolving mediators (SPMs) are essential for cardiac repair, and their biosynthesis coincides with the expression of pro-inflammatory mediators; however, the precise quantitation during an acute myocardial infarction (MI) event is poorly understood in race-specific and sex-specific manner. Coronary heart disease is the leading cause of death and disability in the USA. Although the prevalence of coronary heart disease is similar between Black and White patients, cardiovascular events (including MI), rehospitalization, and mortality are disproportionately higher in Black patients. Therefore, understanding differences in inflammation and resolution can enable the development of predictive, personalized, and precise treatment and attenuate sex/racial disparities. Thus, herein, we assess differences in bioactive lipids and SPMs, between Black and White patients experiencing an acute MI.

METHODS AND RESULTS

From the PRiME-GGAT cohort, we collected plasma after MI within 24-48 h from 22 Black (15 male and 7 female) and 31 White (23 male and 8 female) subjects for a comparative race-based and sex-based analyses. MI was confirmed using a biochemical measurement of plasma troponin and ST elevation. Plasma levels of three essential polyunsaturated fatty acids [arachidonic acid (AA), docosahexaenoic acid (DHA), and eicosapentaenoic acid (EPA)] and a set of 40 bioactive lipid mediators with major emphasis on SPMs were quantified by liquid chromatography-mass spectrometry. AA and DHA were higher in White male and female patients, and EPA was noted higher only in White male patients compared with White female and Black male and female patients. Lipoxygenase-mediated AA-derived 12-hydroxyeicosatetraenoic acid (29-63%) and 15-hydroxyeicosatetraenoic acid (3-9%) and DHA-derived 17-hydroxydocosahexaenoic acid (3-22%) and 14-hydroxydocosahexaenoic acid (7-10%) were major bioactive lipid mediators in plasma. The SPM signature resolvin E1 was significantly lower in Black patients compared with White male and female patients, whereas protectin D1 was lower in White male patients compared with White female and Black male and female patients.

CONCLUSION

Our comparative analyses of fatty acids and respective cyclooxygenase-derived and lipoxygenase-derived SPM signatures capture the heterogeneity of disease pathology and elucidate potential mechanisms underlying sex-based and race-based differences following MI.