{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T06:52:16Z","timestamp":1784616736266,"version":"3.55.0"},"reference-count":62,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:00:00Z","timestamp":1761004800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:00:00Z","timestamp":1761004800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Justus-Liebig-Universit\u00e4t Gie\u00dfen"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Clin Res Cardiol"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>We aimed to characterize the burden of dysglycemia in acute stroke and evaluate whether HbA\u2081c, even below the diabetic threshold, is associated with neurological severity and embolic risk.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted a prospective study of patients with ischemic stroke or transient ischemic attack (TIA) over six months at a German stroke center. Glycemic status was defined by glycated hemoglobin (HbA\u2081c) and fasting glucose per American Diabetes Association (ADA) criteria. Associations with stroke subtype, age, sex, and severity were analyzed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Abnormal glucose metabolism was present in 449 of 714 patients (62.9%), including 236 with prediabetes (33.1%) and 213 with diabetes (29.8%). Dysglycemia was most frequent in lacunar (34\/40, 85.0%), atherosclerotic stroke (77\/110, 70.0%), and cryptogenic strokes (68\/ 98, 69.4%). Prediabetes peaked at age 75\u201384 (r\u2009=\u20090.21; 95% CI, 0.07\u20130.34;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.0026) and was highest in men\u2009\u2265\u200985\u00a0years (51.7% vs. 15.4%). Height of HbA\u2081c significantly correlated with stroke severity (r\u2009=\u20090.54; 95% CI, 0.43\u20130.63;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u200910\u207b\n                      <jats:sup>15<\/jats:sup>\n                      ) and CHA\u2082DS\u2082-VASc scores (r\u2009=\u20090.37; 95% CI, 0.22\u20130.52;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.003).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Prediabetes is highly prevalent across all stroke entities and independently associated with worse neurological outcomes. HbA\u2081c may serve as a clinical marker for risk stratification even below diabetic thresholds. Early detection and subsequent intervention may improve stroke outcomes; however, whether prediabetes constitutes a modifiable risk factor remains to be determined in future interventional studies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Graphical Abstract<\/jats:title>\n                  <\/jats:sec>","DOI":"10.1007\/s00392-025-02778-2","type":"journal-article","created":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T09:25:52Z","timestamp":1761038752000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Prediabetes in acute stroke: prevalence and impact on early clinical outcomes"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-0534-132X","authenticated-orcid":false,"given":"Priyanka","family":"Boettger","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jamschid","family":"Sedighi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Henning","family":"Lemm","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kerstin","family":"Piayda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Omar Alhaj","family":"Omar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin","family":"Juenemann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bernhard","family":"Unsoeld","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pascal","family":"Bauer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samuel","family":"Sossalla","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas","family":"Karrasch","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Buerke","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,10,21]]},"reference":[{"issue":"7","key":"2778_CR1","doi-asserted-by":"publisher","first-page":"1388","DOI":"10.2337\/dc22-2376","volume":"46","author":"MR Rooney","year":"2023","unstructured":"Rooney MR (2023) Global prevalence of prediabetes. 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