{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T13:23:35Z","timestamp":1787837015996,"version":"build-2784847793"},"reference-count":27,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"11","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Stroke"],"published-print":{"date-parts":[[2022,11]]},"abstract":"<jats:sec>\n            <jats:title>Background:<\/jats:title>\n            <jats:p>The United States lacks a timely and accurate nationwide surveillance system for acute ischemic stroke (AIS). We use the Get With The Guidelines-Stroke registry to apply poststratification survey weights to generate national assessment of AIS epidemiology, hospital care quality, and in-hospital outcomes.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods:<\/jats:title>\n            <jats:p>Clinical data from the Get With The Guidelines-Stroke registry were weighted using a Bayesian interpolation method anchored to observations from the national inpatient sample. To generate a US stroke forecast for 2019, we linearized time trend estimates from the national inpatient sample to project anticipated AIS hospital volume, distribution, and race\/ethnicity characteristics for the year 2019. Primary measures of AIS epidemiology and clinical care included patient and hospital characteristics, stroke severity, vital and laboratory measures, treatment interventions, performance measures, disposition, and clinical outcomes at discharge.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results:<\/jats:title>\n            <jats:p>We estimate 552\u2009476 patients with AIS were admitted in 2019 to US hospitals. Median age was 71 (interquartile range, 60\u201381), 48.8% female. Atrial fibrillation was diagnosed in 22.6%, 30.2% had prior stroke\/transient ischemic attack, and 36.4% had diabetes. At baseline, 46.4% of patients with AIS were taking antiplatelet agents, 19.2% anticoagulants, and 46.3% cholesterol-reducers. Mortality was 4.4%, and only 52.3% were able to ambulate independently at discharge. Performance nationally on AIS achievement measures were generally higher than 95% for all measures but the use of thrombolytics within 3 hours of early stroke presentations (81.9%). Additional quality measures had lower rates of receipt: dysphagia screening (84.9%), early thrombolytics by 4.5 hours (79.7%), and statin therapy (80.6%).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions:<\/jats:title>\n            <jats:p>We provide timely, reliable, and actionable US national AIS surveillance using Bayesian interpolation poststratification weights. These data may facilitate more targeted quality improvement efforts, resource allocation, and national policies to improve AIS care and outcomes.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/strokeaha.122.039098","type":"journal-article","created":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T09:00:12Z","timestamp":1658134812000},"page":"3386-3393","update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":28,"title":["US Surveillance of Acute Ischemic Stroke Patient Characteristics, Care Quality, and Outcomes for 2019"],"prefix":"10.1161","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9787-3649","authenticated-orcid":true,"given":"Boback","family":"Ziaeian","sequence":"first","affiliation":[{"name":"Division of Cardiology, David Geffen School of Medicine at University of California, Los Angeles (B.Z., G.C.F.)."},{"name":"Division of Cardiology, Veteran Affairs Greater Los Angeles Healthcare System, CA (B.Z.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1069-9567","authenticated-orcid":true,"given":"Haolin","family":"Xu","sequence":"additional","affiliation":[{"name":"Duke Clinical Research Institute, Durham, NC (H.X., R.A.M.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0271-5400","authenticated-orcid":true,"given":"Roland A.","family":"Matsouaka","sequence":"additional","affiliation":[{"name":"Duke Clinical Research Institute, Durham, NC (H.X., R.A.M.)."},{"name":"Department of Biostatistics and Bioinformatics, Duke University, Durham, NC (R.A.M.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1237-1162","authenticated-orcid":true,"given":"Ying","family":"Xian","sequence":"additional","affiliation":[{"name":"Department of Neurology, UT Southwestern Medical Center, Dallas, TX (Y.X.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yosef","family":"Khan","sequence":"additional","affiliation":[{"name":"Premier Inc, Charlotte, NC (Y.K.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0592-9145","authenticated-orcid":true,"given":"Lee S.","family":"Schwamm","sequence":"additional","affiliation":[{"name":"Department of Neurology, Comprehensive Stroke Center Massachusetts General Hospital and Harvard Medical School, Boston (L.S.S.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3956-1668","authenticated-orcid":true,"given":"Eric E.","family":"Smith","sequence":"additional","affiliation":[{"name":"Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada (E.E.S.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3192-8093","authenticated-orcid":true,"given":"Gregg C.","family":"Fonarow","sequence":"additional","affiliation":[{"name":"Division of Cardiology, David Geffen School of Medicine at University of California, Los Angeles (B.Z., G.C.F.)."},{"name":"Ahmanson-UCLA Cardiomyopathy Center, University of California, Los Angeles Medical Center (G.C.F.)."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_3_2_2","volume-title":"A Nationwide Framework for Surveillance of Cardiovascular and Chronic Lung Diseases","author":"Committee on a National Surveillance System for Cardiovascular and Select Chronic Diseases; Institute of Medicine, IOM (Institute of Medicine)","year":"2011","unstructured":"Committee on a National Surveillance System for Cardiovascular and Select Chronic Diseases; Institute of Medicine, IOM (Institute of Medicine). A Nationwide Framework for Surveillance of Cardiovascular and Chronic Lung Diseases. [Internet]. National Academies Press; 2011. http:\/\/www.nap.edu\/catalog\/13145."},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.112.155911"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000000678"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1161\/STR.0000000000000375"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1161\/STR.0000000000000158"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000000950"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ahj.2011.12.012"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.111.626978"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ahj.2006.06.037"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.2307\/2344652"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12874-021-01214-z"},{"key":"e_1_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000000659"},{"key":"e_1_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1159\/000086678"},{"key":"e_1_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.str.29.2.415"},{"key":"e_1_3_3_16_2","volume-title":"Fast Facts on U.S. Hospitals, 2022","author":"American Hospital Association","year":"2022","unstructured":"American Hospital Association. Fast Facts on U.S. Hospitals, 2022. [Internet]. 2022. Accessed June 28, 2022. https:\/\/www.aha.org\/statistics\/fast-facts-us-hospitals."},{"key":"e_1_3_3_17_2","doi-asserted-by":"publisher","DOI":"10.1001\/archinternmed.2007.101"},{"key":"e_1_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.108.783688"},{"key":"e_1_3_3_19_2","unstructured":"Agency for Healthcare Research and Quality Healthcare Cost and Utilization Project (HCUP). Introduction to the HCUP National Inpatient Sample (NIS) 2019 [Internet]. 2021. https:\/\/www.hcup-us.ahrq.gov\/nisoverview.jsp."},{"key":"e_1_3_3_20_2","unstructured":"Agency for Healthcare Research and Quality Healthcare Cost and Utilization Project (HCUP). Introduction to the HCUP Nationwide Inpatient Sample (NIS) 2013 [Internet]. 2015. http:\/\/www.hcup-us.ahrq.gov."},{"key":"e_1_3_3_21_2","doi-asserted-by":"publisher","DOI":"10.1161\/JAHA.115.003056"},{"key":"e_1_3_3_22_2","unstructured":"Agency for Healthcare Research and Quality. Clinical Classificiations Software (CCS) for ICD-10-PCS [Internet]. Accessed June 28 2022. https:\/\/www.hcup-us.ahrq.gov\/toolssoftware\/ccs10\/ccs10.jsp#overview."},{"key":"e_1_3_3_23_2","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-147-8-200710160-00010-w1"},{"key":"e_1_3_3_24_2","unstructured":"Fakhouri THI Martin CB Chen T-C Akinbami LJ Ogden CL Paulose-Ram R Riddles MK Van de Kerckhove W Roth SB Clark J et al. An investigation of nonresponse bias and survey location variability in the 2017-2018 national health and nutrition examination survey. Vital Health Stat 2. 2020;1\u201336. http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/33541513."},{"key":"e_1_3_3_25_2","doi-asserted-by":"publisher","DOI":"10.1159\/000086678"},{"key":"e_1_3_3_26_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000001052"},{"key":"e_1_3_3_27_2","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.115.011874"},{"key":"e_1_3_3_28_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamaneurol.2018.2101"}],"container-title":["Stroke"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ahajournals.org\/doi\/full\/10.1161\/STROKEAHA.122.039098","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T14:50:32Z","timestamp":1715611832000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ahajournals.org\/doi\/10.1161\/STROKEAHA.122.039098"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11]]},"references-count":27,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2022,11]]}},"alternative-id":["10.1161\/STROKEAHA.122.039098"],"URL":"https:\/\/doi.org\/10.1161\/strokeaha.122.039098","relation":{},"ISSN":["0039-2499","1524-4628"],"issn-type":[{"value":"0039-2499","type":"print"},{"value":"1524-4628","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11]]},"assertion":[{"value":"2022-02-17","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-06-21","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-07-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}