{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T20:08:08Z","timestamp":1789848488314,"version":"4.0.1"},"reference-count":115,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2019,7,31]],"date-time":"2019-07-31T00:00:00Z","timestamp":1564531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2019,7,31]],"date-time":"2019-07-31T00:00:00Z","timestamp":1564531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neurocrit Care"],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1007\/s12028-019-00769-6","type":"journal-article","created":{"date-parts":[[2019,7,31]],"date-time":"2019-07-31T17:02:52Z","timestamp":1564592572000},"page":"231-244","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":65,"title":["Gap Analysis Regarding Prognostication in Neurocritical Care: A Joint Statement from the German Neurocritical Care Society and the Neurocritical Care Society"],"prefix":"10.1007","volume":"31","author":[{"given":"Katja E.","family":"Wartenberg","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David Y.","family":"Hwang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karl Georg","family":"Haeusler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susanne","family":"Muehlschlegel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oliver W.","family":"Sakowitz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dominik","family":"Mad\u017ear","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hajo M.","family":"Hamer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alejandro A.","family":"Rabinstein","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David M.","family":"Greer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"III","given":"J. Claude","family":"Hemphill","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juergen","family":"Meixensberger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Panayiotis N.","family":"Varelas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,7,31]]},"reference":[{"issue":"3","key":"769_CR1","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1007\/s12028-010-9377-7","volume":"14","author":"CJ Taylor","year":"2011","unstructured":"Taylor CJ, Robertson F, Brealey D, O\u2019Shea F, Stephen T, Brew S, et al. Outcome in poor grade subarachnoid hemorrhage patients treated with acute endovascular coiling of aneurysms and aggressive intensive care. Neurocrit Care 2011;14(3):341\u20137.","journal-title":"Neurocrit Care"},{"issue":"4","key":"769_CR2","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1016\/S1474-4422(09)70025-0","volume":"8","author":"VL Feigin","year":"2009","unstructured":"Feigin VL, Lawes CM, Bennett DA, Barker-Collo SL, Parag V. Worldwide stroke incidence and early case fatality reported in 56 population-based studies: a systematic review. Lancet Neurol. 2009;8(4):355\u201369.","journal-title":"Lancet Neurol"},{"issue":"6","key":"769_CR3","doi-asserted-by":"crossref","first-page":"718","DOI":"10.1161\/01.STR.20.6.718","volume":"20","author":"TJ Ingall","year":"1989","unstructured":"Ingall TJ, Whisnant JP, Wiebers DO, O\u2019Fallon WM. Has there been a decline in subarachnoid hemorrhage mortality? Stroke. 1989;20(6):718\u201324.","journal-title":"Stroke"},{"issue":"2","key":"769_CR4","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.jcrc.2012.05.008","volume":"28","author":"NS Naval","year":"2013","unstructured":"Naval NS, Chang T, Caserta F, Kowalski RG, Carhuapoma JR, Tamargo RJ. Improved aneurysmal subarachnoid hemorrhage outcomes: a comparison of 2 decades at an academic center. J Crit Care. 2013;28(2):182\u20138.","journal-title":"J Crit Care"},{"issue":"1","key":"769_CR5","doi-asserted-by":"crossref","first-page":"14","DOI":"10.3171\/jns.1968.28.1.0014","volume":"28","author":"WE Hunt","year":"1968","unstructured":"Hunt WE, Hess RM. Surgical risk as related to time of intervention in the repair of intracranial aneurysms. J Neurosurg. 1968;28(1):14\u201320.","journal-title":"J Neurosurg"},{"issue":"11","key":"769_CR6","doi-asserted-by":"crossref","first-page":"1457","DOI":"10.1136\/jnnp.51.11.1457","volume":"51","author":"GM Teasdale","year":"1988","unstructured":"Teasdale GM, Drake CG, Hunt W, Kassell N, Sano K, Pertuiset B, et al. A universal subarachnoid hemorrhage scale: report of a committee of the world federation of neurosurgical societies. J Neurol Neurosurg Psychiatry. 1988;51(11):1457.","journal-title":"J Neurol Neurosurg Psychiatry"},{"issue":"7","key":"769_CR7","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1007\/s007010170044","volume":"143","author":"A Lagares","year":"2001","unstructured":"Lagares A, Gomez PA, Lobato RD, Alen JF, Alday R, Campollo J. Prognostic factors on hospital admission after spontaneous subarachnoid haemorrhage. Acta Neurochir (Wien). 2001;143(7):665\u201372.","journal-title":"Acta Neurochir (Wien)"},{"issue":"3","key":"769_CR8","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1097\/01.CCM.0000201903.46435.35","volume":"34","author":"KE Wartenberg","year":"2006","unstructured":"Wartenberg KE, Schmidt JM, Claassen J, Temes RE, Frontera JA, Ostapkovich N, et al. Impact of medical complications on outcome after subarachnoid hemorrhage. Crit Care Med. 2006;34(3):617\u201323 quiz 24.","journal-title":"Crit Care Med"},{"issue":"3","key":"769_CR9","first-page":"441","volume":"39","author":"S Hirai","year":"1996","unstructured":"Hirai S, Ono J, Yamaura A. Clinical grading and outcome after early surgery in aneurysmal subarachnoid hemorrhage. Neurosurgery. 1996;39(3):441\u20136 discussion 6-7.","journal-title":"Neurosurgery"},{"issue":"1","key":"769_CR10","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/s00701-004-0417-y","volume":"147","author":"A Lagares","year":"2005","unstructured":"Lagares A, Gomez PA, Alen JF, Lobato RD, Rivas JJ, Alday R, et al. A comparison of different grading scales for predicting outcome after subarachnoid haemorrhage. Acta Neurochir (Wien). 2005;147(1):5\u201316 discussion.","journal-title":"Acta Neurochir (Wien)"},{"issue":"1","key":"769_CR11","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1111\/ene.13471","volume":"25","author":"NF Dengler","year":"2018","unstructured":"Dengler NF, Sommerfeld J, Diesing D, Vajkoczy P, Wolf S. Prediction of cerebral infarction and patient outcome in aneurysmal subarachnoid hemorrhage: comparison of new and established radiographic, clinical and combined scores. Eur J Neurol. 2018;25(1):111\u20139.","journal-title":"Eur J Neurol"},{"issue":"1","key":"769_CR12","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1097\/00006123-199607000-00005","volume":"39","author":"O Gotoh","year":"1996","unstructured":"Gotoh O, Tamura A, Yasui N, Suzuki A, Hadeishi H, Sano K. Glasgow Coma Scale in the prediction of outcome after early aneurysm surgery. Neurosurgery. 1996;39(1):19\u201324 discussion -5.","journal-title":"Neurosurgery"},{"issue":"7872","key":"769_CR13","first-page":"81","volume":"2","author":"G Teasdale","year":"1974","unstructured":"Teasdale G, Jennett B. Assessment of coma and impaired consciousness. A practical scale. Lancet. 1974;2(7872):81\u20134.","journal-title":"A practical scale. Lancet"},{"issue":"5","key":"769_CR14","doi-asserted-by":"crossref","first-page":"801","DOI":"10.1016\/j.wneu.2014.12.032","volume":"83","author":"H Sano","year":"2015","unstructured":"Sano H, Satoh A, Murayama Y, Kato Y, Origasa H, Inamasu J, et al. Modified world federation of neurosurgical societies subarachnoid hemorrhage grading system. World Neurosurg. 2015;83(5):801\u20137.","journal-title":"World Neurosurg"},{"issue":"4","key":"769_CR15","doi-asserted-by":"crossref","first-page":"680","DOI":"10.3171\/jns.1999.90.4.0680","volume":"90","author":"K Takagi","year":"1999","unstructured":"Takagi K, Tamura A, Nakagomi T, Nakayama H, Gotoh O, Kawai K, et al. How should a subarachnoid hemorrhage grading scale be determined? A combinatorial approach based solely on the Glasgow Coma Scale. J Neurosurg. 1999;90(4):680\u20137.","journal-title":"J Neurosurg"},{"issue":"4","key":"769_CR16","doi-asserted-by":"crossref","first-page":"1347","DOI":"10.1161\/STROKEAHA.107.498345","volume":"39","author":"AW van Heuven","year":"2008","unstructured":"van Heuven AW, Dorhout Mees SM, Algra A, Rinkel GJ. Validation of a prognostic subarachnoid hemorrhage grading scale derived directly from the Glasgow Coma Scale. Stroke. 2008;39(4):1347\u20138.","journal-title":"Stroke"},{"issue":"7","key":"769_CR17","doi-asserted-by":"crossref","first-page":"894","DOI":"10.1016\/j.jocn.2008.10.010","volume":"16","author":"RM Starke","year":"2009","unstructured":"Starke RM, Komotar RJ, Kim GH, Kellner CP, Otten ML, Hahn DK, et al. Evaluation of a revised glasgow coma score scale in predicting long-term outcome of poor grade aneurysmal subarachnoid hemorrhage patients. J Clin Neurosci. 2009;16(7):894\u20139.","journal-title":"J Clin Neurosci"},{"issue":"1","key":"769_CR18","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1212\/WNL.0b013e318220ac06","volume":"77","author":"EF Wijdicks","year":"2011","unstructured":"Wijdicks EF, Rabinstein AA, Bamlet WR, Mandrekar JN. FOUR score and glasgow coma scale in predicting outcome of comatose patients: a pooled analysis. Neurology. 2011;77(1):84\u20135.","journal-title":"Neurology"},{"issue":"3","key":"769_CR19","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1007\/s12028-017-0396-5","volume":"27","author":"FA Zeiler","year":"2017","unstructured":"Zeiler FA, Lo BWY, Akoth E, Silvaggio J, Kaufmann AM, Teitelbaum J, et al. Predicting outcome in subarachnoid hemorrhage (SAH) utilizing the full outline of unresponsiveness (FOUR) score. Neurocrit Care. 2017;27(3):381\u201391.","journal-title":"Neurocrit Care"},{"issue":"3","key":"769_CR20","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1097\/01.CCM.0000114830.48833.8A","volume":"32","author":"J Claassen","year":"2004","unstructured":"Claassen J, Vu A, Kreiter KT, Kowalski RG, Du EY, Ostapkovich N, et al. Effect of acute physiologic derangements on outcome after subarachnoid hemorrhage. Crit Care Med. 2004;32(3):832\u20138.","journal-title":"Crit Care Med"},{"issue":"5","key":"769_CR21","doi-asserted-by":"crossref","first-page":"902","DOI":"10.1016\/j.jstrokecerebrovasdis.2013.07.035","volume":"23","author":"NS Naval","year":"2014","unstructured":"Naval NS, Kowalski RG, Chang TR, Caserta F, Carhuapoma JR, Tamargo RJ. The SAH score: a comprehensive communication tool. J Stroke Cerebrovasc Dis. 2014;23(5):902\u20139.","journal-title":"J Stroke Cerebrovasc Dis"},{"issue":"1","key":"769_CR22","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1007\/s12028-013-9952-9","volume":"21","author":"VH Lee","year":"2014","unstructured":"Lee VH, Ouyang B, John S, Conners JJ, Garg R, Bleck TP, et al. Risk stratification for the in-hospital mortality in subarachnoid hemorrhage: the HAIR score. Neurocrit Care. 2014;21(1):14\u20139.","journal-title":"Neurocrit Care"},{"issue":"5","key":"769_CR23","doi-asserted-by":"crossref","first-page":"1253","DOI":"10.1161\/STROKEAHA.111.638197","volume":"43","author":"V Degos","year":"2012","unstructured":"Degos V, Apfel CC, Sanchez P, Colonne C, Renuit I, Clarencon F, et al. An admission bioclinical score to predict 1-year outcomes in patients undergoing aneurysm coiling. Stroke. 2012;43(5):1253\u20139.","journal-title":"Stroke"},{"key":"769_CR24","doi-asserted-by":"crossref","first-page":"j5745","DOI":"10.1136\/bmj.j5745","volume":"360","author":"BNR Jaja","year":"2018","unstructured":"Jaja BNR, Saposnik G, Lingsma HF, Macdonald E, Thorpe KE, Mamdani M, et al. Development and validation of outcome prediction models for aneurysmal subarachnoid haemorrhage: the SAHIT multinational cohort study. BMJ. 2018;360:j5745.","journal-title":"BMJ"},{"key":"769_CR25","doi-asserted-by":"publisher","DOI":"10.1093\/neuros\/nyy600","author":"JR Mascitelli","year":"2018","unstructured":"Mascitelli JR, Cole T, Yoon S, Nakaji P, Albuquerque FC, McDougall CG, et al. External validation of the subarachnoid hemorrhage international trialists (SAHIT) predictive model using the barrow-ruptured aneurysm trial (BRAT) cohort. Neurosurgery 2018. https:\/\/doi.org\/10.1093\/neuros\/nyy600 .","journal-title":"Neurosurgery"},{"issue":"1","key":"769_CR26","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1002\/ana.24675","volume":"80","author":"J Witsch","year":"2016","unstructured":"Witsch J, Frey HP, Patel S, Park S, Lahiri S, Schmidt JM, et al. Prognostication of long-term outcomes after subarachnoid hemorrhage: the FRESH score. Ann Neurol. 2016;80(1):46\u201358.","journal-title":"Ann Neurol"},{"issue":"1","key":"769_CR27","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1007\/s12028-010-9382-x","volume":"13","author":"BY Hwang","year":"2010","unstructured":"Hwang BY, Appelboom G, Kellner CP, Carpenter AM, Kellner MA, Gigante PR, et al. Clinical grading scales in intracerebral hemorrhage. Neurocrit Care. 2010;13(1):141\u201351.","journal-title":"Neurocrit Care"},{"issue":"4","key":"769_CR28","doi-asserted-by":"crossref","first-page":"339","DOI":"10.3988\/jcn.2015.11.4.339","volume":"11","author":"K Mattishent","year":"2015","unstructured":"Mattishent K, Kwok CS, Ashkir L, Pelpola K, Myint PK, Loke YK. Prognostic tools for early mortality in hemorrhagic stroke: systematic review and meta-analysis. J Clin Neurol. 2015;11(4):339\u201348.","journal-title":"J Clin Neurol"},{"issue":"3","key":"769_CR29","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1055\/s-0036-1581992","volume":"36","author":"SY Chu","year":"2016","unstructured":"Chu SY, Hwang DY. Predicting outcome for intracerebral hemorrhage patients: current tools and their limitations. Semin Neurol. 2016;36(3):254\u201360.","journal-title":"Semin Neurol"},{"issue":"4","key":"769_CR30","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1161\/01.STR.32.4.891","volume":"32","author":"JC Hemphill 3rd","year":"2001","unstructured":"Hemphill JC 3rd, Bonovich DC, Besmertis L, Manley GT, Johnston SC. The ICH score: a simple, reliable grading scale for intracerebral hemorrhage. Stroke. 2001;32(4):891\u20137.","journal-title":"Stroke"},{"key":"769_CR31","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.jns.2017.05.034","volume":"379","author":"J Satopaa","year":"2017","unstructured":"Satopaa J, Mustanoja S, Meretoja A, Putaala J, Kaste M, Niemela M, et al. Comparison of all 19 published prognostic scores for intracerebral hemorrhage. J Neurol Sci. 2017;379:103\u20138.","journal-title":"J Neurol Sci"},{"issue":"1","key":"769_CR32","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.emc.2008.08.009","volume":"27","author":"J. Claude Hemphill","year":"2009","unstructured":"Hemphill JC, 3rd, White DB. Clinical nihilism in neuroemergencies. Emerg Med Clin North Am 2009;27(1):27\u20137, vii\u2013viii.","journal-title":"Emergency Medicine Clinics of North America"},{"issue":"5","key":"769_CR33","doi-asserted-by":"crossref","first-page":"1641","DOI":"10.1161\/STROKEAHA.106.478222","volume":"38","author":"JL Ruiz-Sandoval","year":"2007","unstructured":"Ruiz-Sandoval JL, Chiquete E, Romero-Vargas S, Padilla-Martinez JJ, Gonzalez-Cornejo S. Grading scale for prediction of outcome in primary intracerebral hemorrhages. Stroke. 2007;38(5):1641\u20134.","journal-title":"Stroke"},{"issue":"7","key":"769_CR34","doi-asserted-by":"crossref","first-page":"1717","DOI":"10.1161\/01.STR.0000078657.22835.B9","volume":"34","author":"RT Cheung","year":"2003","unstructured":"Cheung RT, Zou LY. Use of the original, modified, or new intracerebral hemorrhage score to predict mortality and morbidity after intracerebral hemorrhage. Stroke. 2003;34(7):1717\u201322.","journal-title":"Stroke"},{"issue":"5","key":"769_CR35","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1136\/jnnp.2005.081117","volume":"77","author":"C Weimar","year":"2006","unstructured":"Weimar C, Benemann J, Diener HC, German Stroke Study C. Development and validation of the Essen Intracerebral Haemorrhage Score. J Neurol Neurosurg Psychiatry. 2006;77(5):601\u20135.","journal-title":"J Neurol Neurosurg Psychiatry"},{"issue":"6","key":"769_CR36","doi-asserted-by":"crossref","first-page":"R275","DOI":"10.1186\/cc13130","volume":"17","author":"R Ji","year":"2013","unstructured":"Ji R, Shen H, Pan Y, Wang P, Liu G, Wang Y, et al. A novel risk score to predict 1-year functional outcome after intracerebral hemorrhage and comparison with existing scores. Critical care (London, England). 2013;17(6):R275.","journal-title":"Critical care (London, England)"},{"issue":"7","key":"769_CR37","doi-asserted-by":"crossref","first-page":"1928","DOI":"10.1016\/j.jstrokecerebrovasdis.2014.02.006","volume":"23","author":"P Zis","year":"2014","unstructured":"Zis P, Leivadeas P, Michas D, Kravaritis D, Angelidakis P, Tavernarakis A. Predicting 30-day case fatality of primary inoperable intracerebral hemorrhage based on findings at the emergency department. J Stroke Cerebrovasc Dis. 2014;23(7):1928\u201333.","journal-title":"J Stroke Cerebrovasc Dis"},{"issue":"5","key":"769_CR38","doi-asserted-by":"crossref","first-page":"1100","DOI":"10.1016\/j.jstrokecerebrovasdis.2015.01.013","volume":"24","author":"L Masotti","year":"2015","unstructured":"Masotti L, Di Napoli M, Godoy DA, Lorenzini G. Predictive ability of a modified version of emergency department intracerebral hemorrhage grading scale for short-term prognosis of intracerebral hemorrhage. J Stroke Cerebrovasc Dis. 2015;24(5):1100\u20134.","journal-title":"J Stroke Cerebrovasc Dis"},{"issue":"8","key":"769_CR39","doi-asserted-by":"crossref","first-page":"2304","DOI":"10.1161\/STROKEAHA.107.512202","volume":"39","author":"NS Rost","year":"2008","unstructured":"Rost NS, Smith EE, Chang Y, Snider RW, Chanderraj R, Schwab K, et al. Prediction of functional outcome in patients with primary intracerebral hemorrhage: the FUNC score. Stroke. 2008;39(8):2304\u20139.","journal-title":"Stroke"},{"issue":"5","key":"769_CR40","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1212\/WNL.0000000000004174","volume":"89","author":"JA Sembill","year":"2017","unstructured":"Sembill JA, Gerner ST, Volbers B, Bobinger T, Lucking H, Kloska SP, et al. Severity assessment in maximally treated ICH patients: the max-ICH score. Neurology. 2017;89(5):423\u201331.","journal-title":"Neurology"},{"issue":"3","key":"769_CR41","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1007\/s12028-011-9518-7","volume":"15","author":"SS Bruce","year":"2011","unstructured":"Bruce SS, Appelboom G, Piazza M, Hwang BY, Kellner C, Carpenter AM, et al. A comparative evaluation of existing grading scales in intracerebral hemorrhage. Neurocrit Care. 2011;15(3):498\u2013505.","journal-title":"Neurocrit Care"},{"issue":"3","key":"769_CR42","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1007\/s12028-013-9926-y","volume":"19","author":"JS Garrett","year":"2013","unstructured":"Garrett JS, Zarghouni M, Layton KF, Graybeal D, Daoud YA. Validation of clinical prediction scores in patients with primary intracerebral hemorrhage. Neurocrit Care. 2013;19(3):329\u201335.","journal-title":"Neurocrit Care"},{"issue":"7","key":"769_CR43","doi-asserted-by":"crossref","first-page":"1101","DOI":"10.1111\/ijs.12518","volume":"10","author":"E Heeley","year":"2015","unstructured":"Heeley E, Anderson CS, Woodward M, Arima H, Robinson T, Stapf C, et al. Poor utility of grading scales in acute intracerebral hemorrhage: results from the INTERACT2 trial. Int J Stroke. 2015;10(7):1101\u20137.","journal-title":"Int J Stroke"},{"issue":"Suppl 18","key":"769_CR44","first-page":"S510","volume":"7","author":"DA Safatli","year":"2016","unstructured":"Safatli DA, Gunther A, Schlattmann P, Schwarz F, Kalff R, Ewald C. Predictors of 30-day mortality in patients with spontaneous primary intracerebral hemorrhage. Surg Neurol Int. 2016;7(Suppl 18):S510\u20137.","journal-title":"Surg Neurol Int"},{"key":"769_CR45","doi-asserted-by":"crossref","first-page":"e601","DOI":"10.1016\/j.wneu.2017.10.039","volume":"109","author":"JX Han","year":"2018","unstructured":"Han JX, See AAQ, King NKK. Validation of prognostic models to predict early mortality in spontaneous intracerebral hemorrhage: a cross-sectional evaluation of a Singapore stroke database. World neurosurgery. 2018;109:e601\u20138.","journal-title":"World neurosurgery"},{"issue":"1","key":"769_CR46","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1007\/s13760-016-0609-2","volume":"117","author":"L Masotti","year":"2017","unstructured":"Masotti L, Lorenzini G, Di Napoli M, Godoy DA. Prognostic ability of four clinical grading scores in spontaneous intracerebral hemorrhage. Acta Neurol Belg. 2017;117(1):325\u20137.","journal-title":"Acta Neurol Belg"},{"issue":"20","key":"769_CR47","doi-asserted-by":"crossref","first-page":"1864","DOI":"10.1212\/WNL.0000000000002676","volume":"86","author":"DB Zahuranec","year":"2016","unstructured":"Zahuranec DB, Fagerlin A, Sanchez BN, Roney ME, Thompson BB, Fuhrel-Forbis A, et al. Variability in physician prognosis and recommendations after intracerebral hemorrhage. Neurology. 2016;86(20):1864\u201371.","journal-title":"Neurology"},{"issue":"2","key":"769_CR48","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1212\/WNL.0000000000002266","volume":"86","author":"DY Hwang","year":"2016","unstructured":"Hwang DY, Dell CA, Sparks MJ, Watson TD, Langefeld CD, Comeau ME, et al. Clinician judgment vs formal scales for predicting intracerebral hemorrhage outcomes. Neurology. 2016;86(2):126\u201333.","journal-title":"Neurology"},{"issue":"17","key":"769_CR49","doi-asserted-by":"crossref","first-page":"1739","DOI":"10.1212\/WNL.0000000000001525","volume":"84","author":"LB Morgenstern","year":"2015","unstructured":"Morgenstern LB, Zahuranec DB, Sanchez BN, Becker KJ, Geraghty M, Hughes R, et al. Full medical support for intracerebral hemorrhage. Neurology. 2015;84(17):1739\u201344.","journal-title":"Neurology"},{"issue":"4","key":"769_CR50","doi-asserted-by":"crossref","first-page":"e310","DOI":"10.1097\/CCM.0000000000002962","volume":"46","author":"V Yogendrakumar","year":"2018","unstructured":"Yogendrakumar V, Smith EE, Demchuk AM, Aviv RI, Rodriguez-Luna D, Molina CA, et al. Lack of early improvement predicts poor outcome following acute intracerebral hemorrhage. Crit Care Med. 2018;46(4):e310\u20137.","journal-title":"Crit Care Med"},{"issue":"3\u20134","key":"769_CR51","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1159\/000452679","volume":"43","author":"MB Maas","year":"2017","unstructured":"Maas MB, Francis BA, Sangha RS, Lizza BD, Liotta EM, Naidech AM. Refining prognosis for intracerebral hemorrhage by early reassessment. Cerebrovasc Dis. 2017;43(3\u20134):110\u20136.","journal-title":"Cerebrovasc Dis"},{"issue":"10","key":"769_CR52","doi-asserted-by":"crossref","first-page":"2944","DOI":"10.1161\/STROKEAHA.111.617639","volume":"42","author":"B Bar","year":"2011","unstructured":"Bar B, Hemphill JC 3rd. Charlson comorbidity index adjustment in intracerebral hemorrhage. Stroke. 2011;42(10):2944\u20136.","journal-title":"Stroke"},{"issue":"2","key":"769_CR53","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1007\/s12028-017-0384-9","volume":"26","author":"JC Hemphill III","year":"2017","unstructured":"Hemphill JC III. Improving outcome after intracerebral hemorrhage: maybe it is the body, not the brain. Neurocrit Care. 2017;26(2):157\u20139.","journal-title":"Neurocrit Care"},{"issue":"1","key":"769_CR54","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1186\/s13049-017-0448-z","volume":"25","author":"M Fallenius","year":"2017","unstructured":"Fallenius M, Skrifvars MB, Reinikainen M, Bendel S, Raj R. Common intensive care scoring systems do not outperform age and glasgow coma scale score in predicting mid-term mortality in patients with spontaneous intracerebral hemorrhage treated in the intensive care unit. Scand J Trauma Resusc Emerg Med. 2017;25(1):102.","journal-title":"Scand J Trauma Resusc Emerg Med"},{"key":"769_CR55","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1016\/j.wneu.2017.02.082","volume":"101","author":"VP Gupta","year":"2017","unstructured":"Gupta VP, Garton ALA, Sisti JA, Christophe BR, Lord AS, Lewis AK, et al. Prognosticating functional outcome after intracerebral hemorrhage: the ICHOP score. World Neurosurg. 2017;101:577\u201383.","journal-title":"World Neurosurg"},{"issue":"11","key":"769_CR56","doi-asserted-by":"crossref","first-page":"2563","DOI":"10.1016\/j.jstrokecerebrovasdis.2017.06.005","volume":"26","author":"K Pan","year":"2017","unstructured":"Pan K, Panwar A, Roy U, Das BK. A comparison of the intracerebral hemorrhage score and the acute physiology and chronic health evaluation II score for 30-day mortality prediction in spontaneous intracerebral hemorrhage. J Stroke Cerebrovasc Dis. 2017;26(11):2563\u20139.","journal-title":"J Stroke Cerebrovasc Dis"},{"issue":"1","key":"769_CR57","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1186\/s12883-018-1032-5","volume":"18","author":"N Jampathong","year":"2018","unstructured":"Jampathong N, Laopaiboon M, Rattanakanokchai S, Pattanittum P. Prognostic models for complete recovery in ischemic stroke: a systematic review and meta-analysis. BMC Neurol. 2018;18(1):26.","journal-title":"BMC Neurol"},{"issue":"4","key":"769_CR58","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1177\/1941874417708128","volume":"7","author":"F Soliman","year":"2017","unstructured":"Soliman F, Gupta A, Delgado D, Kamel H, Pandya A. The role of imaging in clinical stroke scales that predict functional outcome: a systematic review. Neurohospitalist. 2017;7(4):169\u201378.","journal-title":"Neurohospitalist"},{"issue":"1","key":"769_CR59","doi-asserted-by":"crossref","first-page":"e0185402","DOI":"10.1371\/journal.pone.0185402","volume":"13","author":"M Fahey","year":"2018","unstructured":"Fahey M, Crayton E, Wolfe C, Douiri A. Clinical prediction models for mortality and functional outcome following ischemic stroke: a systematic review and meta-analysis. PLoS ONE. 2018;13(1):e0185402.","journal-title":"PLoS ONE"},{"issue":"10","key":"769_CR60","doi-asserted-by":"crossref","first-page":"997","DOI":"10.1212\/WNL.0000000000004332","volume":"89","author":"TJ Quinn","year":"2017","unstructured":"Quinn TJ, Singh S, Lees KR, Bath PM, Myint PK, Collaborators V. Validating and comparing stroke prognosis scales. Neurology. 2017;89(10):997\u20131002.","journal-title":"Neurology"},{"issue":"23","key":"769_CR61","doi-asserted-by":"crossref","first-page":"2293","DOI":"10.1212\/WNL.0b013e31827a3c0a","volume":"79","author":"G Saposnik","year":"2012","unstructured":"Saposnik G, iScore Research T. An integer-based score to predict functional outcome in acute ischemic stroke: the ASTRAL score. Neurology. 2012;79(23):2293 author reply -4.","journal-title":"Neurology"},{"issue":"6","key":"769_CR62","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1212\/WNL.0b013e318245d2a9","volume":"78","author":"D Strbian","year":"2012","unstructured":"Strbian D, Meretoja A, Ahlhelm FJ, Pitkaniemi J, Lyrer P, Kaste M, et al. Predicting outcome of IV thrombolysis-treated ischemic stroke patients: the DRAGON score. Neurology. 2012;78(6):427\u201332.","journal-title":"Neurology"},{"issue":"9","key":"769_CR63","doi-asserted-by":"crossref","first-page":"941","DOI":"10.1212\/WNL.0b013e318266fc40","volume":"79","author":"AG Kelly","year":"2012","unstructured":"Kelly AG, Hoskins KD, Holloway RG. Early stroke mortality, patient preferences, and the withdrawal of care bias. Neurology. 2012;79(9):941\u20134.","journal-title":"Neurology"},{"issue":"3","key":"769_CR64","doi-asserted-by":"crossref","first-page":"e46","DOI":"10.1161\/STR.0000000000000158","volume":"49","author":"WJ Powers","year":"2018","unstructured":"Powers WJ, Rabinstein AA, Ackerson T, Adeoye OM, Bambakidis NC, Becker K, et al. Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American heart association\/American stroke association. Stroke. 2018;49(3):e46\u2013110.","journal-title":"Stroke"},{"issue":"5","key":"769_CR65","doi-asserted-by":"crossref","first-page":"1589","DOI":"10.1161\/STR.0000000000000014","volume":"45","author":"GC Fonarow","year":"2014","unstructured":"Fonarow GC, Alberts MJ, Broderick JP, Jauch EC, Kleindorfer DO, Saver JL, et al. Stroke outcomes measures must be appropriately risk adjusted to ensure quality care of patients: a presidential advisory from the American heart association\/American stroke association. Stroke. 2014;45(5):1589\u2013601.","journal-title":"Stroke"},{"issue":"9","key":"769_CR66","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1177\/0269215511433068","volume":"26","author":"EA Teale","year":"2012","unstructured":"Teale EA, Forster A, Munyombwe T, Young JB. A systematic review of case-mix adjustment models for stroke. Clin Rehabil. 2012;26(9):771\u201386.","journal-title":"Clin Rehabil"},{"issue":"7","key":"769_CR67","doi-asserted-by":"crossref","first-page":"2160","DOI":"10.1161\/STR.0000000000000024","volume":"45","author":"WN Kernan","year":"2014","unstructured":"Kernan WN, Ovbiagele B, Black HR, Bravata DM, Chimowitz MI, Ezekowitz MD, et al. Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the American heart association\/American stroke association. Stroke. 2014;45(7):2160\u2013236.","journal-title":"Stroke"},{"issue":"7","key":"769_CR68","doi-asserted-by":"crossref","first-page":"864","DOI":"10.1161\/01.STR.20.7.864","volume":"20","author":"T Brott","year":"1989","unstructured":"Brott T, Adams HP Jr, Olinger CP, Marler JR, Barsan WG, Biller J, et al. Measurements of acute cerebral infarction: a clinical examination scale. Stroke. 1989;20(7):864\u201370.","journal-title":"Stroke"},{"issue":"4","key":"769_CR69","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1159\/000358869","volume":"37","author":"V Inoa","year":"2014","unstructured":"Inoa V, Aron AW, Staff I, Fortunato G, Sansing LH. Lower NIH stroke scale scores are required to accurately predict a good prognosis in posterior circulation stroke. Cerebrovasc Dis. 2014;37(4):251\u20135.","journal-title":"Cerebrovasc Dis"},{"issue":"5","key":"769_CR70","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1016\/S1474-4422(10)70065-X","volume":"9","author":"HF Lingsma","year":"2010","unstructured":"Lingsma HF, Roozenbeek B, Steyerberg EW, Murray GD, Maas AI. Early prognosis in traumatic brain injury: from prophecies to predictions. Lancet Neurol. 2010;9(5):543\u201354.","journal-title":"Lancet Neurol"},{"issue":"11","key":"769_CR71","doi-asserted-by":"crossref","first-page":"1641","DOI":"10.1016\/j.apmr.2010.07.232","volume":"91","author":"AI Maas","year":"2010","unstructured":"Maas AI, Harrison-Felix CL, Menon D, Adelson PD, Balkin T, Bullock R, et al. Common data elements for traumatic brain injury: recommendations from the interagency working group on demographics and clinical assessment. Arch Phys Med Rehabil. 2010;91(11):1641\u20139.","journal-title":"Arch Phys Med Rehabil"},{"key":"769_CR72","unstructured":"Injury NCDE-TB. 2012 https:\/\/www.commondataelements.ninds.nih.gov\/TBI.aspx-tab=Data_Standards . Accessed 22 Jan 2017."},{"issue":"8","key":"769_CR73","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1371\/journal.pmed.0050165","volume":"5","author":"EW Steyerberg","year":"2008","unstructured":"Steyerberg EW, Mushkudiani N, Perel P, Butcher I, Lu J, McHugh GS, et al. Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics. PLoS Med. 2008;5(8):165 discussion e.","journal-title":"PLoS Med"},{"issue":"7641","key":"769_CR74","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1136\/bmj.39461.643438.25","volume":"336","author":"MCT Collaborators","year":"2008","unstructured":"Collaborators MCT, Perel P, Arango M, Clayton T, Edwards P, Komolafe E, et al. Predicting outcome after traumatic brain injury: practical prognostic models based on large cohort of international patients. BMJ. 2008;336(7641):425\u20139.","journal-title":"BMJ"},{"issue":"16","key":"769_CR75","doi-asserted-by":"crossref","first-page":"1535","DOI":"10.1089\/neu.2015.4164","volume":"33","author":"H Sun","year":"2016","unstructured":"Sun H, Lingsma HF, Steyerberg EW, Maas AI. External validation of the international mission for prognosis and analysis of clinical trials in traumatic brain injury: prognostic models for traumatic brain injury on the study of the neuroprotective activity of progesterone in severe traumatic brain injuries trial. J Neurotrauma. 2016;33(16):1535\u201343.","journal-title":"J Neurotrauma"},{"key":"769_CR76","unstructured":"IMPACT Prognostic Calculator. IMPACT Investigators. http:\/\/tbi-impact.org\/?p=impact\/calc . Accessed 1 Sep."},{"key":"769_CR77","unstructured":"IconArray.com. Risk Science Center and Center for Bioethics and Social Sciences in Medicine UoM. http:\/\/www.iconarray.com\/ . Accessed 2 May 2018."},{"issue":"4","key":"769_CR78","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1177\/0272989X05278931","volume":"25","author":"A Fagerlin","year":"2005","unstructured":"Fagerlin A, Wang C, Ubel PA. Reducing the influence of anecdotal reasoning on people\u2019s health care decisions: is a picture worth a thousand statistics? Med Decis Making. 2005;25(4):398\u2013405.","journal-title":"Med Decis Making"},{"key":"769_CR79","unstructured":"CRASH calculator. Sealed Envelope Ltd. ahwtlauRcih. Accessed 2 Apr 2018."},{"issue":"21","key":"769_CR80","doi-asserted-by":"crossref","first-page":"2244","DOI":"10.1212\/WNL.0000000000003355","volume":"87","author":"S Muehlschlegel","year":"2016","unstructured":"Muehlschlegel S, Ayturk D, Ahlawat A, Izzy S, Scalea TM, Stein DM, et al. Predicting survival after acute civilian penetrating brain injuries: the SPIN score. Neurology. 2016;87(21):2244\u201353.","journal-title":"Neurology"},{"key":"769_CR81","doi-asserted-by":"publisher","DOI":"10.1093\/neuros\/nyz127","author":"AG Mikati","year":"2019","unstructured":"Mikati AG, Flahive J, Khan MW, Vedantam A, Gopinath S, Nordness MF, Robertson C, Patel MB, Sheth KN, Muehlschlegel S. Multicenter validation of the survival after acute civilian penetrating brain injuries (SPIN) score. Neurosurgery. 2019. https:\/\/doi.org\/10.1093\/neuros\/nyz127 PMID: 31065707.","journal-title":"Neurosurgery"},{"issue":"4","key":"769_CR82","doi-asserted-by":"crossref","first-page":"1086","DOI":"10.1097\/CCM.0b013e318275d046","volume":"41","author":"AF Turgeon","year":"2013","unstructured":"Turgeon AF, Lauzier F, Burns KE, Meade MO, Scales DC, Zarychanski R, et al. Determination of neurologic prognosis and clinical decision making in adult patients with severe traumatic brain injury: a survey of Canadian intensivists, neurosurgeons, and neurologists. Crit Care Med. 2013;41(4):1086\u201393.","journal-title":"Crit Care Med"},{"issue":"14","key":"769_CR83","doi-asserted-by":"crossref","first-page":"1581","DOI":"10.1503\/cmaj.101786","volume":"183","author":"AF Turgeon","year":"2011","unstructured":"Turgeon AF, Lauzier F, Simard JF, Scales DC, Burns KE, Moore L, et al. Mortality associated with withdrawal of life-sustaining therapy for patients with severe traumatic brain injury: a Canadian multicentre cohort study. CMAJ. 2011;183(14):1581\u20138.","journal-title":"CMAJ"},{"issue":"1","key":"769_CR84","doi-asserted-by":"crossref","first-page":"238146831875798","DOI":"10.1177\/2381468318757987","volume":"3","author":"J Moskowitz","year":"2018","unstructured":"Moskowitz J, Quinn T, Khan MW, Shutter L, Goldberg R, Col N, et al. Should we use the IMPACT-model for the outcome prognostication of TBI patients? A qualitative study assessing physicians\u2019 perceptions. MDM Policy Pract. 2018;3(1):2381468318757987.","journal-title":"MDM Policy Pract"},{"issue":"1","key":"769_CR85","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1007\/s12028-014-0097-2","volume":"23","author":"S Muehlschlegel","year":"2015","unstructured":"Muehlschlegel S, Shutter L, Col N, Goldberg R. Decision aids and shared decision-making in neurocritical care: an unmet need in our neuroICUs. Neurocrit Care. 2015;23(1):127\u201330.","journal-title":"Neurocrit Care"},{"issue":"13","key":"769_CR86","doi-asserted-by":"crossref","first-page":"1309","DOI":"10.1001\/jama.2017.0616","volume":"317","author":"ES Spatz","year":"2017","unstructured":"Spatz ES, Krumholz HM, Moulton BW. Prime time for shared decision making. JAMA. 2017;317(13):1309\u201310.","journal-title":"JAMA"},{"issue":"4","key":"769_CR87","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1016\/j.ncl.2017.06.014","volume":"35","author":"MW Khan","year":"2017","unstructured":"Khan MW, Muehlschlegel S. Shared decision making in neurocritical care. Neurol Clin. 2017;35(4):825\u201334.","journal-title":"Neurol Clin"},{"issue":"9770","key":"769_CR88","doi-asserted-by":"crossref","first-page":"1004","DOI":"10.1016\/S0140-6736(10)62276-3","volume":"377","author":"JJ van Middendorp","year":"2011","unstructured":"van Middendorp JJ, Hosman AJ, Donders AR, Pouw MH, Ditunno JF Jr, Curt A, et al. A clinical prediction rule for ambulation outcomes after traumatic spinal cord injury: a longitudinal cohort study. Lancet. 2011;377(9770):1004\u201310.","journal-title":"Lancet"},{"issue":"10","key":"769_CR89","doi-asserted-by":"crossref","first-page":"1383","DOI":"10.1016\/j.spinee.2017.05.031","volume":"17","author":"KE Hicks","year":"2017","unstructured":"Hicks KE, Zhao Y, Fallah N, Rivers CS, Noonan VK, Plashkes T, et al. A simplified clinical prediction rule for prognosticating independent walking after spinal cord injury: a prospective study from a Canadian multicenter spinal cord injury registry. Spine J. 2017;17(10):1383\u201392.","journal-title":"Spine J"},{"issue":"1 Suppl","key":"769_CR90","doi-asserted-by":"crossref","first-page":"46","DOI":"10.3171\/2012.4.AOSPINE1246","volume":"17","author":"JR Wilson","year":"2012","unstructured":"Wilson JR, Arnold PM, Singh A, Kalsi-Ryan S, Fehlings MG. Clinical prediction model for acute inpatient complications after traumatic cervical spinal cord injury: a subanalysis from the Surgical Timing in Acute Spinal Cord Injury Study. J Neurosurg Spine. 2012;17(1 Suppl):46\u201351.","journal-title":"J Neurosurg Spine"},{"issue":"10","key":"769_CR91","doi-asserted-by":"crossref","first-page":"1663","DOI":"10.1016\/j.apmr.2016.04.014","volume":"97","author":"T Belliveau","year":"2016","unstructured":"Belliveau T, Jette AM, Seetharama S, Axt J, Rosenblum D, Larose D, et al. Developing artificial neural network models to predict functioning one year after traumatic spinal cord injury. Arch Phys Med Rehabil. 2016;97(10):1663\u20138.","journal-title":"Arch Phys Med Rehabil"},{"issue":"Suppl 1","key":"769_CR92","doi-asserted-by":"crossref","first-page":"S50","DOI":"10.1080\/10790268.2003.11754575","volume":"26","author":"RJ Marino","year":"2003","unstructured":"Marino RJ, Barros T, Biering-Sorensen F, Burns SP, Donovan WH, Graves DE, et al. International standards for neurological classification of spinal cord injury. J Spinal Cord Med. 2003;26(Suppl 1):S50\u20136.","journal-title":"J Spinal Cord Med"},{"issue":"6","key":"769_CR93","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1016\/S1474-4422(15)00042-3","volume":"14","author":"JP Betjemann","year":"2015","unstructured":"Betjemann JP, Lowenstein DH. Status epilepticus in adults. Lancet Neurol. 2015;14(6):615\u201324.","journal-title":"Lancet Neurol"},{"issue":"10","key":"769_CR94","doi-asserted-by":"crossref","first-page":"1515","DOI":"10.1111\/epi.13121","volume":"56","author":"E Trinka","year":"2015","unstructured":"Trinka E, Cock H, Hesdorffer D, Rossetti AO, Scheffer IE, Shinnar S, et al. A definition and classification of status epilepticus\u2013report of the ILAE task force on classification of status epilepticus. Epilepsia. 2015;56(10):1515\u201323.","journal-title":"Epilepsia"},{"issue":"8","key":"769_CR95","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1212\/WNL.0000000000000009","volume":"82","author":"R Sutter","year":"2014","unstructured":"Sutter R, Marsch S, Fuhr P, Kaplan PW, Ruegg S. Anesthetic drugs in status epilepticus: risk or rescue? A 6-year cohort study. Neurology. 2014;82(8):656\u201364.","journal-title":"Neurology"},{"issue":"11","key":"769_CR96","doi-asserted-by":"crossref","first-page":"1736","DOI":"10.1212\/01.wnl.0000223352.71621.97","volume":"66","author":"AO Rossetti","year":"2006","unstructured":"Rossetti AO, Logroscino G, Bromfield EB. A clinical score for prognosis of status epilepticus in adults. Neurology. 2006;66(11):1736\u20138.","journal-title":"Neurology"},{"issue":"12","key":"769_CR97","doi-asserted-by":"crossref","first-page":"e475","DOI":"10.1097\/CCM.0b013e31829eca06","volume":"41","author":"R Sutter","year":"2013","unstructured":"Sutter R, Kaplan PW, Ruegg S. Independent external validation of the status epilepticus severity score. Crit Care Med. 2013;41(12):e475\u20139.","journal-title":"Crit Care Med"},{"issue":"10","key":"769_CR98","doi-asserted-by":"crossref","first-page":"1534","DOI":"10.1111\/ene.13073","volume":"23","author":"M Gonzalez-Cuevas","year":"2016","unstructured":"Gonzalez-Cuevas M, Santamarina E, Toledo M, Quintana M, Sala J, Sueiras M, et al. A new clinical score for the prognosis of status epilepticus in adults. Eur J Neurol. 2016;23(10):1534\u201340.","journal-title":"Eur J Neurol"},{"issue":"2","key":"769_CR99","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/s12028-014-0080-y","volume":"22","author":"M Leitinger","year":"2015","unstructured":"Leitinger M, Holler Y, Kalss G, Rohracher A, Novak HF, Hofler J, et al. Epidemiology-based mortality score in status epilepticus (EMSE). Neurocrit Care. 2015;22(2):273\u201382.","journal-title":"Neurocrit Care"},{"key":"769_CR100","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1186\/s13054-016-1221-9","volume":"20","author":"Q Gao","year":"2016","unstructured":"Gao Q, Ou-Yang TP, Sun XL, Yang F, Wu C, Kang T, et al. Prediction of functional outcome in patients with convulsive status epilepticus: the END-IT score. Critical care (London, England). 2016;20:46.","journal-title":"Critical care (London, England)"},{"key":"769_CR101","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.seizure.2018.01.024","volume":"56","author":"C Reindl","year":"2018","unstructured":"Reindl C, Knappe RU, Sprugel MI, Sembill JA, Mueller TM, Hamer HM, et al. Comparison of scoring tools for the prediction of in-hospital mortality in status epilepticus. Seizure. 2018;56:92\u20137.","journal-title":"Seizure"},{"issue":"7","key":"769_CR102","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1136\/jnnp-2011-301882","volume":"83","author":"YA Rajabally","year":"2012","unstructured":"Rajabally YA, Uncini A. Outcome and its predictors in Guillain\u2013Barr\u00e9 syndrome. J Neurol Neurosurg Psychiatry. 2012;83(7):711\u20138.","journal-title":"J Neurol Neurosurg Psychiatry"},{"issue":"18","key":"769_CR103","doi-asserted-by":"crossref","first-page":"1650","DOI":"10.1212\/WNL.0b013e3182904fcc","volume":"80","author":"B van den Berg","year":"2013","unstructured":"van den Berg B, Bunschoten C, van Doorn PA, Jacobs BC. Mortality in Guillain\u2013Barr\u00e9syndrome. Neurology. 2013;80(18):1650\u20134.","journal-title":"Neurology"},{"issue":"6","key":"769_CR104","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1002\/ana.21976","volume":"67","author":"C Walgaard","year":"2010","unstructured":"Walgaard C, Lingsma HF, Ruts L, Drenthen J, van Koningsveld R, Garssen MJ, et al. Prediction of respiratory insufficiency in Guillain\u2013Barr\u00e9 syndrome. Ann Neurol. 2010;67(6):781\u20137.","journal-title":"Ann Neurol"},{"issue":"6","key":"769_CR105","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1001\/archneur.58.6.893","volume":"58","author":"ND Lawn","year":"2001","unstructured":"Lawn ND, Fletcher DD, Henderson RD, Wolter TD, Wijdicks EF. Anticipating mechanical ventilation in Guillain\u2013Barre syndrome. Arch Neurol. 2001;58(6):893\u20138.","journal-title":"Arch Neurol"},{"issue":"12","key":"769_CR106","doi-asserted-by":"crossref","first-page":"1021","DOI":"10.1016\/S1474-4422(06)70603-2","volume":"5","author":"MC Durand","year":"2006","unstructured":"Durand MC, Porcher R, Orlikowski D, Aboab J, Devaux C, Clair B, et al. Clinical and electrophysiological predictors of respiratory failure in Guillain\u2013Barr\u00e9 syndrome: a prospective study. Lancet Neurol. 2006;5(12):1021\u20138.","journal-title":"Lancet Neurol"},{"issue":"8","key":"769_CR107","doi-asserted-by":"crossref","first-page":"2436","DOI":"10.1097\/CCM.0b013e3181a0fdfc","volume":"37","author":"J Strauss","year":"2009","unstructured":"Strauss J, Aboab J, Rottmann M, Porcher R, Polito A, Ikka L, et al. Plasma cortisol levels in Guillain\u2013Barr\u00e9 syndrome. Crit Care Med. 2009;37(8):2436\u201340.","journal-title":"Crit Care Med"},{"issue":"7","key":"769_CR108","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1016\/S1474-4422(07)70130-8","volume":"6","author":"R van Koningsveld","year":"2007","unstructured":"van Koningsveld R, Steyerberg EW, Hughes RA, Swan AV, van Doorn PA, Jacobs BC. A clinical prognostic scoring system for Guillain\u2013Barr\u00e9 syndrome. Lancet Neurol. 2007;6(7):589\u201394.","journal-title":"Lancet Neurol"},{"issue":"11","key":"769_CR109","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1212\/WNL.0b013e3182104407","volume":"76","author":"C Walgaard","year":"2011","unstructured":"Walgaard C, Lingsma HF, Ruts L, van Doorn PA, Steyerberg EW, Jacobs BC. Early recognition of poor prognosis in Guillain\u2013Barr\u00e9 syndrome. Neurology. 2011;76(11):968\u201375.","journal-title":"Neurology"},{"issue":"10","key":"769_CR110","doi-asserted-by":"crossref","first-page":"1420","DOI":"10.1001\/jama.1985.03350340072020","volume":"253","author":"DE Levy","year":"1985","unstructured":"Levy DE, Caronna JJ, Singer BH, Lapinski RH, Frydman H, Plum F. Predicting outcome from hypoxic-ischemic coma. JAMA. 1985;253(10):1420\u20136.","journal-title":"JAMA"},{"issue":"11","key":"769_CR111","doi-asserted-by":"crossref","first-page":"1546","DOI":"10.1016\/j.resuscitation.2013.07.028","volume":"84","author":"DM Greer","year":"2013","unstructured":"Greer DM, Yang J, Scripko PD, Sims JR, Cash S, Wu O, et al. Clinical examination for prognostication in comatose cardiac arrest patients. Resuscitation. 2013;84(11):1546\u201351.","journal-title":"Resuscitation"},{"issue":"2","key":"769_CR112","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1212\/01.wnl.0000227183.21314.cd","volume":"67","author":"EF Wijdicks","year":"2006","unstructured":"Wijdicks EF, Hijdra A, Young GB, Bassetti CL, Wiebe S, Quality Standards Subcommittee of the American Academy of N. Practice parameter: prediction of outcome in comatose survivors after cardiopulmonary resuscitation (an evidence-based review): report of the Quality Standards Subcommittee of the American Academy of Neurology. Neurology. 2006;67(2):203\u201310.","journal-title":"Neurology"},{"issue":"7","key":"769_CR113","doi-asserted-by":"crossref","first-page":"867","DOI":"10.1016\/j.resuscitation.2013.01.019","volume":"84","author":"T Cronberg","year":"2013","unstructured":"Cronberg T, Brizzi M, Liedholm LJ, Rosen I, Rubertsson S, Rylander C, et al. Neurological prognostication after cardiac arrest\u2013recommendations from the Swedish Resuscitation Council. Resuscitation. 2013;84(7):867\u201372.","journal-title":"Resuscitation"},{"issue":"12","key":"769_CR114","doi-asserted-by":"crossref","first-page":"2039","DOI":"10.1007\/s00134-015-4051-3","volume":"41","author":"JP Nolan","year":"2015","unstructured":"Nolan JP, Soar J, Cariou A, Cronberg T, Moulaert VR, Deakin CD, et al. European resuscitation council and European society of intensive care medicine 2015 guidelines for post-resuscitation care. Intensive Care Med. 2015;41(12):2039\u201356.","journal-title":"Intensive Care Med"},{"issue":"18 Suppl 2","key":"769_CR115","doi-asserted-by":"crossref","first-page":"S465","DOI":"10.1161\/CIR.0000000000000262","volume":"132","author":"CW Callaway","year":"2015","unstructured":"Callaway CW, Donnino MW, Fink EL, Geocadin RG, Golan E, Kern KB, et al. Part 8: post-cardiac arrest care: 2015 American heart association guidelines update for cardiopulmonary resuscitation and emergency cardiovascular care. Circulation. 2015;132(18 Suppl 2):S465\u201382.","journal-title":"Circulation"}],"updated-by":[{"DOI":"10.1007\/s12028-019-00824-2","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2019,8,21]],"date-time":"2019-08-21T00:00:00Z","timestamp":1566345600000}}],"container-title":["Neurocritical Care"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12028-019-00769-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12028-019-00769-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12028-019-00769-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,21]],"date-time":"2024-07-21T15:16:58Z","timestamp":1721575018000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12028-019-00769-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,31]]},"references-count":115,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,10]]}},"alternative-id":["769"],"URL":"https:\/\/doi.org\/10.1007\/s12028-019-00769-6","relation":{"correction":[{"id-type":"doi","id":"10.1007\/s12028-019-00824-2","asserted-by":"object"}]},"ISSN":["1541-6933","1556-0961"],"issn-type":[{"value":"1541-6933","type":"print"},{"value":"1556-0961","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7,31]]},"assertion":[{"value":"31 July 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 August 2019","order":2,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":3,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This article was updated to correct the spelling of Karl Georg Haeusler.","order":4,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Karl Georg H\u00e4usler reports grants and personal fees from Bayer Healthcare, Pfizer, Daiichi Sankyo, Bristol-Myers-Squibb, Boehringer Ingelheim during the conduct of the project.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Ethical approval and informed consent were not required as the manuscript represents a review of existing literature.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval\/Informed Consent"}}]}}