Persistent racial disparity in stroke hospitalization and economic impact in young adults in the buckle of stroke belt.

BACKGROUND AND PURPOSE: Mounting evidence points to a decline in stroke incidence. However, little is known about recent patterns of stroke hospitalization within the buckle of the stroke belt. This study aims to investigate the age- and race-specific secular trends in stroke hospitalization rates, inpatient stroke mortality rates, and related hospitalization charges during the past decade in South Carolina. METHODS: Patients from 2001 to 2010 were identified from the State Inpatient Hospital Discharge Database with a primary discharge diagnosis of stroke (International Classification of Diseases, Ninth Revision codes: 430-434, 436, 437.1). Age- and race-stroke-specific hospitalization rates, hospital charges, charges associated with racial disparity, and 30-day stroke mortality rates were compared between blacks and whites. RESULTS: Of the 84,179 stroke hospitalizations, 31,137 (37.0%) were from patients aged<65 years and 29,846 (35.5%) were blacks. Stroke hospitalization rates decreased in the older population (aged≥65 years) for both blacks and whites (P<0.001) but increased among the younger group (aged<65 years; P=0.004); however, this increase was mainly driven by a 17.3% rise among blacks (P=0.001), with no difference seen among whites (P=0.84). Of hospital charges totaling $2.77 billion, $453.2 million (16.4%) are associated with racial disparity (79.6% from patients aged<65 years). Thirty-day stroke mortality rates decreased in all age-race-stroke-specific groups (P<0.001). CONCLUSIONS: The stroke hospitalization rate increased in the young blacks only, which results in a severe and persistent racial disparity. It highlights the urgent need for a racial disparity reduction in the younger population to alleviate the healthcare burden.

Embedded indices of effort in the repeatable battery for the assessment of neuropsychological status (RBANS) in a geriatric sample.

The clinical utility of embedded indices of effort in the RBANS was examined in a geriatric sample. Patients were classified as providing suspect effort (n = 45) or probable good effort (n = 258) using the TOMM and clinical consensus. Following the methodology of Silverberg and colleagues (2007), selected individual subtests and a summary Effort Index were evaluated. Setting specificity at approximately 85% yielded cut-offs of <15 on List Recognition, <8 on Digit Span, and >3 on the Effort Index. The modest sensitivity (51.1-64.4%) suggests that the indices should be used in conjunction with additional effort measures. In addition, the RBANS Picture Naming subtest was examined and showed modest sensitivity to detect suboptimal effort, but did not show notable incremental validity for detecting suboptimal effort beyond the Effort Index.

Demographic and biologic influences on survival in whites and blacks: 40 years of follow-up in the Charleston Heart Study.

BACKGROUND: In the United States, life expectancy is significantly lower among blacks than whites. We examined whether socioeconomic status (SES) and cardiovascular disease (CVD) risk factors may help explain this disparity. METHODS: Forty years (1961 through 2000) of all-cause mortality data were obtained on a population-based cohort of 2,283 subjects in the Charleston Heart Study (CHS). We examined the influence of SES and CVD risk factors on all-cause mortality. RESULTS: Complete data were available on 98% of the original sample (647 white men, 728 white women, 423 black men, and 443 black women). After adjusting for SES and CVD risk factors, the hazard ratios (HRs) for white ethnicity were 1.14 (0.98 to 1.32) among men and 0.90 (0.75 to 1.08) among women, indicating that the mortality risk was 14% greater for white men and 10% lower for white women compared to their black counterparts. However the differences were not statistically significant. CONCLUSION: While there are marked contrasts in mortality among blacks and whites in the CHS, the differences can be largely explained by SES and CVD risk factors. Continued focus on improving and controlling cardiovascular disease risk factors may reduce ethnic disparities in survival.