{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T06:52:52Z","timestamp":1791355972321,"version":"4.3.1"},"reference-count":35,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"19","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2026,10,6]]},"abstract":"<jats:sec xml:lang=\"en\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p xml:lang=\"en\">Accurate prediction of intensive care unit (ICU) admission in intracerebral hemorrhage (ICH) patients could improve triage, resource use, and outcomes, yet admission criteria remain unclear. Thus, we aimed to develop and externally validate a predictive model for ICU admission in patients with acute ICH.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p xml:lang=\"en\">The derivation cohort included 419 patients with ICH admitted within 2\u2009weeks of onset to Peking Union Medical College Hospital (November 2014\u2013October 2022). External validation used 642 prospectively enrolled patients with ICH from Tongji Hospital, Wuhan (September 2020\u2013August 2023) with identical enrollment criteria. Using multivariable logistic regression, we developed a simplified 6\u2010predictor model of intracerebral hemorrhage (HEM\u20106), incorporating tachycardia, leukocytosis, Glasgow Coma Scale \u22648, modified Rankin Scale \u22654, hemorrhage volume \u226525\u2009mL, and combined vascular events. Model performance was assessed by discrimination and calibration.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p xml:lang=\"en\">\n                      Among 419 patients in the derivation cohort, 169 (40.3%) were female, and the median age was 58\u2009years. Overall, 166 patients (39.6%) were admitted to the ICU. The HEM\u20106 score demonstrated strong discriminative power for ICU admission (AUC=0.84, 95% CI: 0.80\u20130.88) and was successfully validated in the validation (ICU admission rate=42.7% [274 of 642], AUC=0.88, 95% CI: 0.86\u20130.91). In external validation cohort, HEM\u20106 showed excellent calibration (Hosmer\u2010Lemeshow test\n                      <jats:italic toggle=\"no\">P<\/jats:italic>\n                      =0.8783). The ICU admission rates were 6.4%, 28.4%, 63.4% and 94.7% for HEM\u20106 scores of 0\u20131, 2\u20133, 4\u20136, and \u22657, respectively.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec xml:lang=\"en\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p xml:lang=\"en\">The HEM\u20106 model provided a practical and reliable tool for predicting ICU admission in patients with acute ICH. With its robust discriminative power and successful external validation, HEM\u20106 has the potential to optimize ICU triage decisions, improve resource allocation, and ultimately enhance patient care in emergency and critical care settings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/jaha.125.048382","type":"journal-article","created":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T13:33:26Z","timestamp":1789738406000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Novel Prediction Model for ICU Admission in Acute Intracerebral Hemorrhage"],"prefix":"10.1161","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8649-9564","authenticated-orcid":false,"given":"Shengde","family":"Li","sequence":"first","affiliation":[{"name":"Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College","place":["Beijing, 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