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Racial/ethnic Disparities In The Risk Of Intracerebral Hemorrhage Recurrence

A. Leasure, Zachary King, Victor M Torres-Lopez, S. Murthy, H. Kamel, A. Shoamanesh, R. Al‐Shahi Salman, J. Rosand, W. Ziai, D. Hanley, D. Woo, C. Matouk, L. Sansing, G. Falcone, K. Sheth
Published 2020 · Medicine

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Objective To estimate the risk of intracerebral hemorrhage (ICH) recurrence in a large, diverse, US-based population and to identify racial/ethnic and socioeconomic subgroups at higher risk. Methods We performed a longitudinal analysis of prospectively collected claims data from all hospitalizations in nonfederal California hospitals between 2005 and 2011. We used validated diagnosis codes to identify nontraumatic ICH and our primary outcome of recurrent ICH. California residents who survived to discharge were included. We used log-rank tests for unadjusted analyses of survival across racial/ethnic groups and multivariable Cox proportional hazards regression to determine factors associated with risk of recurrence after adjusting for potential confounders. Results We identified 31,355 California residents with first-recorded ICH who survived to discharge, of whom 15,548 (50%) were white, 6,174 (20%) were Hispanic, 4,205 (14%) were Asian, and 2,772 (9%) were black. There were 1,330 recurrences (4.1%) over a median follow-up of 2.9 years (interquartile range 3.8). The 1-year recurrence rate was 3.0% (95% confidence interval [CI] 2.8%–3.2%). In multivariable analysis, black participants (hazard ratio [HR] 1.22; 95% CI 1.01–1.48; p = 0.04) and Asian participants (HR 1.29; 95% CI 1.10–1.50; p = 0.001) had a higher risk of recurrence than white participants. Private insurance was associated with a significant reduction in risk compared to patients with Medicare (HR 0.60; 95% CI 0.50–0.73; p < 0.001), with consistent estimates across racial/ethnic groups. Conclusions Black and Asian patients had a higher risk of ICH recurrence than white patients, whereas private insurance was associated with reduced risk compared to those with Medicare. Further research is needed to determine the drivers of these disparities.
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Rosand is supported by the NIH (R01NS036695, UM1HG008895, R01NS093870, R24NS092983). W. Ziai is supported by the NIH (U01NS080824). D. Hanley is supported by the NIH (U01NS080824, U24TR001609)
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