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Our study aims to develop gender\u2010specific prognostic prediction models derived from distinct prognostic factors observed among different\u2010gender patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Inclusion comprised SAH\u2010diagnosed patients from January 2014 to March 2016 in our institution. Collected data encompassed patients' demographics, admission severity, treatments, imaging findings, and complications. Three\u2010month post\u2010discharge prognoses were obtained via follow\u2010ups. Analyses assessed gender\u2010based differences in patient information. Key factors underwent subgroup analysis, followed by univariate and multivariate analyses to identify gender\u2010specific prognostic factors and establish\/validate gender\u2010specific prognostic models.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A total of 929 patients, with a median age of 57 (16) years, were analyzed; 372 (40%) were male, and 557 (60%) were female. Differences in age, smoking history, hypertension, aneurysm presence, and treatment interventions existed between genders (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01), yet no disparity in prognosis was noted. Subgroup analysis explored hypertension history, aneurysm presence, and treatment impact, revealing gender\u2010specific variations in these factors' influence on the disease. Screening identified independent prognostic factors: age, SEBES score, admission GCS score, and complications for males; and age, admission GCS score, intraventricular hemorrhage, treatment interventions, symptomatic vasospasm, hydrocephalus, delayed cerebral ischemia, and seizures for females. Evaluation and validation of gender\u2010specific models yielded an AUC of 0.916 (95% CI: 0.878\u20130.954) for males and 0.914 (95% CI: 0.885\u20130.944) for females in the ROC curve. Gender\u2010specific prognostic models didn't significantly differ from the overall population\u2010based model (model 3) but exhibited robust discriminative ability and clinical utility.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Variations in baseline and treatment\u2010related factors among genders contribute partly to gender\u2010based prognosis differences. Independent prognostic factors vary by gender. Gender\u2010specific prognostic models exhibit favorable prognostic performance.<\/jats:p><\/jats:sec>","DOI":"10.1111\/cns.14894","type":"journal-article","created":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T04:50:42Z","timestamp":1723006242000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Gender\u2010specific prognosis models reveal differences in subarachnoid hemorrhage patients between sexes"],"prefix":"10.1111","volume":"30","author":[{"given":"Penglei","family":"Xu","sequence":"first","affiliation":[{"name":"Department of Neurosurgery, The Second Affiliated Hospital, School of Medicine Zhejiang University  Zhejiang China"},{"name":"Clinical Research Center for Neurological Diseases of Zhejiang Province  Hangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuchun","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, The Second 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