{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T14:29:14Z","timestamp":1784903354239,"version":"3.55.0"},"reference-count":41,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2021,2,18]],"date-time":"2021-02-18T00:00:00Z","timestamp":1613606400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurol."],"abstract":"Background:<\/jats:bold> Patients with poor-grade aneurysmal subarachnoid hemorrhage (aSAH), defined as World Federation of Neurosurgical Societies (WFNS) grades IV\u2013V have high rates of disability and mortality. The objective of this study was to accurately prognosticate the outcomes of patients with poor-grade aSAH by developing a new scoring model.<\/jats:p>Methods:<\/jats:bold> A total of 147 poor-grade aSAH patients in our center were enrolled. Risk variables identified by multivariate logistic regression analysis were used to devise a scoring model (total score, 0\u20139 points). The scores were estimated on the basis of \u03b2 coefficients. A cohort of 68 patients from another institute was used to validate the model.<\/jats:p>Results:<\/jats:bold> Multivariate logistic regression analysis revealed that modified Fisher grade &gt;2 [odds ratio [OR], 2.972; P<\/jats:italic> = 0.034], age \u226565 years (OR, 3.534; P<\/jats:italic> = 0.006), conservative treatment (OR, 5.078; P<\/jats:italic> = 0.019), WFNS grade V (OR, 2.638; P<\/jats:italic> = 0.029), delayed cerebral ischemia (OR, 3.170; P<\/jats:italic> = 0.016), shunt-dependent hydrocephalus (OR, 3.202; P<\/jats:italic> = 0.032), and cerebral herniation (OR, 7.337; P<\/jats:italic> &lt; 0.001) were significant predictors for poor prognosis [modified Rankin Scale [mRS] \u22653]. A scoring system was constructed by the integration of these factors and divided the poor-grade aSAH patients into three categories: low risk (0\u20131 points), intermediate risk (2\u20133 points), and high risk (4\u20139 points), with predicted risks of poor prognosis of 11, 52, and 87%, respectively (P<\/jats:italic> &lt; 0.001). The area under the curve in the derivation cohort was 0.844 (95% CI, 0.778\u20130.909). The AUC in the validation cohort was 0.831 (95% CI, 0.732\u20130.929).<\/jats:p>Conclusions:<\/jats:bold> The new scoring model can improve prognostication and help decision-making for subsequent complementary treatment in patients with aSAH.<\/jats:p>","DOI":"10.3389\/fneur.2021.601996","type":"journal-article","created":{"date-parts":[[2021,2,20]],"date-time":"2021-02-20T19:38:52Z","timestamp":1613849932000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":39,"title":["Scoring Model to Predict Functional Outcome in Poor-Grade Aneurysmal Subarachnoid Hemorrhage"],"prefix":"10.3389","volume":"12","author":[{"given":"Jie","family":"Shen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianbo","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sicong","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rajneesh","family":"Mungur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaiyuan","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinfa","family":"Pan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guofeng","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhikai","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lihui","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zongchi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dexin","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianwei","family":"Pan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Renya","family":"Zhan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2021,2,18]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1365","DOI":"10.1136\/jnnp.2007.117655","article-title":"Incidence of subarachnoid haemorrhage: a systematic review with emphasis on region, age, gender and time trends","volume":"78","author":"De Rooij","year":"2007","journal-title":"J Neurol Neurosurg Psychiatry."},{"key":"B2","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/S0140-6736(03)13860-3","article-title":"Unruptured intracranial aneurysms: natural history, clinical outcome, and risks of surgical and endovascular treatment","volume":"362","author":"Wiebers","year":"2003","journal-title":"Lancet."},{"key":"B3","doi-asserted-by":"publisher","first-page":"2368","DOI":"10.1161\/STR.0000000000000070","article-title":"Guidelines for the management of patients with unruptured intracranial aneurysms: a guideline for healthcare professionals from the American Heart Association\/American Stroke Association","volume":"46","author":"Thompson","year":"2015","journal-title":"Stroke."},{"key":"B4","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1007\/s11936-018-0695-y","article-title":"Intracranial aneurysm: diagnostic monitoring, current interventional practices, and advances","volume":"20","author":"Ellis","year":"2018","journal-title":"Curr Treat Options Cardiovasc Med."},{"key":"B5","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1159\/000346087","article-title":"Juvela S, Unterberg A, Jung C, Forsting M, Rinkel G, et al. 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