BACKGROUND: A wide variety of racial and ethnic disparities in stroke epidemiology and treatment have been reported. Race-ethnic differences in initial stroke severity may be one important determinant of differences in the outcome after stroke. The overall goal of this study was to move beyond ethnic comparisons in the mean or median severity, and instead investigate ethnic differences in the entire distribution of initial stroke severity. Additionally, we investigated whether age modifies the relationship between ethnicity and initial stroke severity as this may be an important determinant of racial differences in the outcome after stroke. METHODS: Ischemic stroke cases were identified from the population-based Brain Attack Surveillance in Corpus Christi (BASIC) project. National Institutes of Health Stroke Scale (NIHSS) was determined from the medical record or abstracted from the chart. Ethnicity was reported as Mexican American (MA) or non-Hispanic white (NHW). Quantile regression was used to model the distribution of NIHSS score by age category (45-59, 60-74, 75+) to test whether ethnic differences exist over different quantiles of NIHSS (5 percentile increments). Crude models examined the interaction between age category and ethnicity; models were then adjusted for history of stroke/transient ischemic attack, hypertension, atrial fibrillation, coronary artery disease, and diabetes. RESULTS were adjusted for multiple comparisons. RESULTS: There were 4,366 ischemic strokes, with median age 72 (IQR: 61-81), 55% MA, and median NIHSS of 4 (IQR: 2-8). MAs were younger, more likely to have a history of hypertension and diabetes, but less likely to have atrial fibrillation compared to NHWs. In the crude model, the ethnicity-age interaction was not statistically significant. After adjustment, the ethnicity-age interaction became significant at the 85th and 95th percentiles of NIHSS distribution. MAs in the younger age category (45-59) were significantly less severe by 3 and 6 points on the initial NIHSS than NHWs, at the 85th and 95th percentiles, respectively. However, in the older age category (75+), there was a reversal of this pattern; MAs had more severe strokes than NHWs by about 2 points, though not reaching statistical significance. CONCLUSIONS: There was no overall ethnic difference in stroke severity by age in our crude model. However, several potentially important ethnic differences among individuals with the most severe strokes were seen in younger and older stroke patients that were not explained by traditional risk factors. Age should be considered in future studies when looking at the complex distributional relationship between ethnicity and stroke severity.
BACKGROUND: A wide variety of racial and ethnic disparities in stroke epidemiology and treatment have been reported. Race-ethnic differences in initial stroke severity may be one important determinant of differences in the outcome after stroke. The overall goal of this study was to move beyond ethnic comparisons in the mean or median severity, and instead investigate ethnic differences in the entire distribution of initial stroke severity. Additionally, we investigated whether age modifies the relationship between ethnicity and initial stroke severity as this may be an important determinant of racial differences in the outcome after stroke. METHODS:Ischemic stroke cases were identified from the population-based Brain Attack Surveillance in Corpus Christi (BASIC) project. National Institutes of Health Stroke Scale (NIHSS) was determined from the medical record or abstracted from the chart. Ethnicity was reported as Mexican American (MA) or non-Hispanic white (NHW). Quantile regression was used to model the distribution of NIHSS score by age category (45-59, 60-74, 75+) to test whether ethnic differences exist over different quantiles of NIHSS (5 percentile increments). Crude models examined the interaction between age category and ethnicity; models were then adjusted for history of stroke/transient ischemic attack, hypertension, atrial fibrillation, coronary artery disease, and diabetes. RESULTS were adjusted for multiple comparisons. RESULTS: There were 4,366 ischemic strokes, with median age 72 (IQR: 61-81), 55% MA, and median NIHSS of 4 (IQR: 2-8). MAs were younger, more likely to have a history of hypertension and diabetes, but less likely to have atrial fibrillation compared to NHWs. In the crude model, the ethnicity-age interaction was not statistically significant. After adjustment, the ethnicity-age interaction became significant at the 85th and 95th percentiles of NIHSS distribution. MAs in the younger age category (45-59) were significantly less severe by 3 and 6 points on the initial NIHSS than NHWs, at the 85th and 95th percentiles, respectively. However, in the older age category (75+), there was a reversal of this pattern; MAs had more severe strokes than NHWs by about 2 points, though not reaching statistical significance. CONCLUSIONS: There was no overall ethnic difference in stroke severity by age in our crude model. However, several potentially important ethnic differences among individuals with the most severe strokes were seen in younger and older strokepatients that were not explained by traditional risk factors. Age should be considered in future studies when looking at the complex distributional relationship between ethnicity and stroke severity.
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Authors: Laura Heitsch; Laura Ibanez; Caty Carrera; Michael M Binkley; Daniel Strbian; Turgut Tatlisumak; Alejandro Bustamante; Marc Ribó; Carlos Molina; Antoni Dávalos; Elena López-Cancio; Lucia Muñoz-Narbona; Carol Soriano-Tárraga; Eva Giralt-Steinhauer; Victor Obach; Agnieszka Slowik; Joanna Pera; Katarzyna Lapicka-Bodzioch; Justyna Derbisz; Tomás Sobrino; José Castillo; Francisco Campos; Emilio Rodríguez-Castro; Susana Arias-Rivas; Tomas Segura; Gemma Serrano-Heras; Cristófol Vives-Bauza; Rosa Díaz-Navarro; Silva Tur; Carmen Jimenez; Joan Martí-Fàbregas; Raquel Delgado-Mederos; Juan Arenillas; Jerzy Krupinski; Natalia Cullell; Nuria P Torres-Aguila; Elena Muiño; Jara Cárcel-Márquez; Francisco Moniche; Juan A Cabezas; Andria L Ford; Rajat Dhar; Jaume Roquer; Pooja Khatri; Jordi Jiménez-Conde; Israel Fernandez-Cadenas; Joan Montaner; Jonathan Rosand; Carlos Cruchaga; Jin-Moo Lee Journal: Stroke Date: 2020-12-15 Impact factor: 7.914