Abstract 2623: Racial Disparities in Hospital Length of Stay among Native Hawaiians and other Pacific Islanders with Ischemic Stroke

Abstract

Introduction: Native Hawaiians and other Pacific Islanders (NHPI) with ischemic stroke are younger and have more comorbidities compared to other major racial-ethnic groups. However, their impact on hospital length of stay (LOS) after ischemic stroke has not been studied. Hypothesis: We assessed the hypothesis that NHPI race is associated with a longer hospital LOS after ischemic stroke. Methods: Data from 2004 to 2010 were retrospectively obtained from the Get With the Guidelines-Stroke (GWTG-Stroke) database from The Queen’s Medical Center, the only primary stroke center for the state of Hawaii. Multivariable analyses were performed using a stepwise linear regression model to identify factors predictive of hospital LOS after ischemic stroke. Results: A total of 1921 patients hospitalized for ischemic stroke (NHPI 20%, Asians 53%, whites 24%, blacks 0.8%, others 2%) were studied. Univariate analyses showed that NHPI were younger (mean ages, NHPI 60±14 vs. Asians 72±14, p <0.0001; vs. whites 71±14, p <0.0001) and had higher prevalence of diabetes (NHPI 53% vs. Asians 67%, p <0.0001; vs. whites 22%, p <0.0001), hypertension (NHPI 82% vs. whites 22%, p <0.0001), prior stroke or TIA (NHPI 30% vs. Asians 23%, p =0.01), smoking (NHPI 19% vs. Asians 14%, p =0.01), dyslipidemia (NHPI 43% vs. whites 34%, p <0.01), and longer hospital LOS (NHPI 11±17 days vs. Asians 7±9 days, p <0.0001; whites 8±17 days, p <0.05). After adjusting for age, race, gender, and risk factors with predefined significance ( p <0.1), independent predictors for hospital LOS were NHPI race (parameter estimate, 2.67; 95% CI, 1.09 - 4.22, p =0.001), atrial fibrillation/atrial flutter (parameter estimate, 2.22; 95% CI, 0.53 - 3.90, p =0.01), and age (parameter estimate, -0.04; 95% CI, -0.09 - -0.002, p =0.04). Conclusions: Native Hawaiians and other Pacific Islanders with ischemic stroke have a longer hospital length of stay compared to Asians and whites. Further studies are needed to assess if other socioeconomic factors contribute to the observed differences.