{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T22:55:42Z","timestamp":1793228142198,"version":"4.5.0"},"reference-count":22,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"15","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2022,8,2]]},"abstract":"<jats:sec sec-type=\"background\" xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">Intracerebral hemorrhage is the most disabling and lethal form of stroke. We aimed to develop a novel clinical score for neurological deterioration during hospitalization after intracerebral hemorrhage.<\/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              We analyzed data from the CHERRY (Chinese Cerebral Hemorrhage: Mechanism and Intervention) study. Two\u2010thirds of eligible patients were randomly allocated into the training cohort (n=1027) and one\u2010third into the validation cohort (n=515). Multivariable logistic regression was used to identify factors associated with neurological deterioration (an increase in National Institutes of Health Stroke Scale of \u22654 or death) within 15\u2009days after symptom onset. A prediction score was developed based on regression coefficients derived from the logistic model. The site, size, gender, National Institutes of Health Stroke Scale, age, leukocyte, sugar (SIGNALS) score was developed as a sum of individual points (0\u20138) based on site (1 point for infratentorial location), size (3 points for &gt;20\u2009mL of supratentorial hematoma volume or 2 points for &gt;10\u2009mL of infratentorial hematoma volume), sex (1 point for male sex), National Institutes of Health Stroke Scale score (1 point for &gt;10), age (1 point for \u226570\u2009years), white blood cell (1 point for&gt;9.0\u00d710\n              <jats:sup>9<\/jats:sup>\n              \/L), and fasting blood glucose (1 point&gt;7.0\u2009mmol\/L). The proportion of patients who suffered from neurological deterioration increased with higher SIGNALS score, showing good discrimination and good calibration in the training cohort (C statistic, 0.821; Hosmer\u2010Lemeshow test,\n              <jats:italic>P<\/jats:italic>\n              =0.687) and in the validation cohort (C statistic, 0.848; Hosmer\u2010Lemeshow test,\n              <jats:italic>P<\/jats:italic>\n              =0.592), 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 SIGNALS score reliably predicts the risk of in\u2010hospital neurological deterioration of patients with intracerebral hemorrhage.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/jaha.122.026379","type":"journal-article","created":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T11:40:26Z","timestamp":1659440426000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":18,"title":["Prediction of Neurological Deterioration After Intracerebral Hemorrhage: The SIGNALS Score"],"prefix":"10.1161","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8318-6976","authenticated-orcid":false,"given":"Quanwei","family":"He","sequence":"first","affiliation":[{"name":"Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongxiu","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province 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