{"doi":"10.1161/strokeaha.124.048532","title":"Racial and Ethnic Disparities in Ischemic Stroke Severity in the National Inpatient Sample Between 2018 and 2021","abstract":"BACKGROUND: The purpose of this study is to examine the association between race and ethnicity and ischemic stroke severity in the United States. METHODS: We performed an analysis of adult hospital discharges in the National Inpatient Sample from 2018 to 2021 with a primary discharge diagnosis of ischemic stroke. We stratified our cohort based on self-reported race and ethnicity and evaluated stroke severity using the National Institutes of Health Stroke Scale. Age- and sex-adjusted estimates of the National Institutes of Health Stroke Scale were derived from linear regression models. RESULTS: We included 231 396 stroke discharges with a mean National Institutes of Health Stroke Scale of 6.5±7.2. The cohort was 68.1% White, 17.4% Black, 8.2% Hispanic, and 6.3% other. The age- and sex-adjusted National Institutes of Health Stroke Scale for White patients was 6.25 (95% CI, 6.22-6.29), for Black patients was 7.12 (95% CI, 7.05-7.19), for Hispanic patients was 6.86 (95% CI, 6.76-6.97), and for patients of other races and ethnicities was 7.29 (95% CI, 7.18-7.41). Further adjustment for the Charlson Comorbidity Index, socioeconomic factors, and poorly controlled hypertension or diabetes did not significantly alter these findings. CONCLUSIONS: In a large, contemporary, and nationally representative sample of patients with acute ischemic stroke, we show an association between non-White race and ethnicity and higher stroke severity. These results are concerning for an underappreciated health disparity in acute ischemic stroke.","journal":"Stroke","year":2025,"id":525378,"datarank":0.20794415416798362,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"self_citation_contribution":0.20794415416798362,"citation_network_contribution":0.0,"self_endowment_contribution":0.20794415416798362,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.6095,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":623207,"name":"Teng J. Peng","orcid":"0000-0002-0576-1402","position":1,"is_corresponding":false},{"id":265987,"name":"Lesli E. Skolarus","orcid":"0000-0002-3088-9838","position":2,"is_corresponding":false},{"id":256547,"name":"Kevin N. Sheth","orcid":"0000-0003-2003-5473","position":3,"is_corresponding":false},{"id":670679,"name":"Ka‐Ho Wong","orcid":"0000-0001-9597-8105","position":4,"is_corresponding":false},{"id":421725,"name":"Adam de Havenon","orcid":"0000-0001-8178-8597","position":5,"is_corresponding":false},{"id":1400131,"name":"Mahmoud Fayed","orcid":"0000-0003-4775-4232","position":0,"is_corresponding":true}],"reference_count":17,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:50:21.274116Z","pmid":"40099374","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}