{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T15:03:09Z","timestamp":1787497389395,"version":"build-2736575974"},"reference-count":35,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"13","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2023,7,4]]},"abstract":"<jats:sec sec-type=\"background\" xml:lang=\"en\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p xml:lang=\"en\">Ischemic lesions observed on diffusion\u2010weighted imaging (DWI) magnetic resonance imaging are associated with poor outcomes after intracerebral hemorrhage (ICH). We evaluated the association between hyperglycemia, ischemic lesions, and functional outcomes after ICH.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Methods and Results<\/jats:title>\n                    <jats:p xml:lang=\"en\">\n                      This was a retrospective observational analysis of 1167 patients who received magnetic resonance imaging in the\n                      <jats:styled-content style=\"fixed-case\">ERICH<\/jats:styled-content>\n                      (Ethnic and Racial Variations in Intracerebral Hemorrhage) study. A machine learning strategy using the elastic net regularization and selection procedure was used to perform automated variable selection to identify final multivariable logistic regression models. Sensitivity analyses with alternative model development strategies were performed, and predictive performance was compared. After covariate adjustment, white matter hyperintensity score, leukocyte count on admission, and\n                      <jats:styled-content style=\"fixed-case\">non\u2010Hispanic<\/jats:styled-content>\n                      Black race (compared with\n                      <jats:styled-content style=\"fixed-case\">non\u2010Hispanic<\/jats:styled-content>\n                      White race) were associated with the presence of\n                      <jats:styled-content style=\"fixed-case\">DWI<\/jats:styled-content>\n                      lesions. History of\n                      <jats:styled-content style=\"fixed-case\">ICH<\/jats:styled-content>\n                      and ischemic stroke, presence of\n                      <jats:styled-content style=\"fixed-case\">DWI<\/jats:styled-content>\n                      lesions, deep\n                      <jats:styled-content style=\"fixed-case\">ICH<\/jats:styled-content>\n                      location (versus lobar),\n                      <jats:styled-content style=\"fixed-case\">ICH<\/jats:styled-content>\n                      volume, age, lower Glasgow Coma Score on admission, and medical history of diabetes were associated with poor 6\u2010month modified Rankin Scale outcome (4\u20136) after covariate adjustment. Inclusion of interactions between race and ethnicity and variables included in the final multivariable model for functional outcome improved model performance; a significant interaction between race and ethnicity and medical history of diabetes and serum blood glucose on admission was observed.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p xml:lang=\"en\">No measure of hyperglycemia or diabetes was associated with presence of DWI lesions. However, both medical history of diabetes and presence of DWI lesions were independently associated with poor functional outcomes after ICH.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/jaha.122.028632","type":"journal-article","created":{"date-parts":[[2023,6,22]],"date-time":"2023-06-22T21:24:54Z","timestamp":1687469094000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":10,"title":["Hyperglycemia, Ischemic Lesions, and Functional Outcomes After Intracerebral Hemorrhage"],"prefix":"10.1161","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5728-8872","authenticated-orcid":false,"given":"Jay B.","family":"Lusk","sequence":"first","affiliation":[{"name":"Department of Neurology, Duke University School of Medicine Durham NC USA"},{"name":"Duke University Fuqua School of Business Durham NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4125-5953","authenticated-orcid":false,"given":"Anna","family":"Covington","sequence":"additional","affiliation":[{"name":"Department of Neurology, Duke University School of Medicine Durham NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7367-4423","authenticated-orcid":false,"given":"Li","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Neurology PLA Strategic Support Force Characteristic Medical Center Beijing P.R. 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