naa a22 4500 510799906 CHVBK 20180411083350.0 cr unu---uuuuu 180411e20130201xx s 000 0 eng 10.1007/s12028-012-9792-z doi (NATIONALLICENCE)springer-10.1007/s12028-012-9792-z Clinical Prediction Models for Aneurysmal Subarachnoid Hemorrhage: A Systematic Review [Elektronische Daten] [Blessing Jaja, Michael Cusimano, Nima Etminan, Daniel Hanggi, David Hasan, Don Ilodigwe, Hector Lantigua, Peter Le Roux, Benjamin Lo, Ada Louffat-Olivares, Stephan Mayer, Andrew Molyneux, Audrey Quinn, Tom Schweizer, Thomas Schenk, Julian Spears, Michael Todd, James Torner, Mervyn Vergouwen, George Wong, Jeff Singh, R. Macdonald] Background: Clinical prediction models can enhance clinical decision-making and research. However, available prediction models in aneurysmal subarachnoid hemorrhage (aSAH) are rarely used. We evaluated the methodological validity of SAH prediction models and the relevance of the main predictors to identify potentially reliable models and to guide future attempts at model development. Methods: We searched the EMBASE, MEDLINE, and Web of Science databases from January 1995 to June 2012 to identify studies that reported clinical prediction models for mortality and functional outcome in aSAH. Validated methods were used to minimize bias. Results: Eleven studies were identified; 3 developed models from datasets of phase 3 clinical trials, the others from single hospital records. The median patient sample size was 340 (interquartile range 149-733). The main predictors used were age (n=8), Fisher grade (n=6), World Federation of Neurological Surgeons grade (n=5), aneurysm size (n=5), and Hunt and Hess grade (n=3). Age was consistently dichotomized. Potential predictors were prescreened by univariate analysis in 36% of studies. Only one study was penalized for model optimism. Details about model development were often insufficiently described and no published studies provided external validation. Conclusions: While clinical prediction models for aSAH use a few simple predictors, there are substantial methodological problems with the models and none have had external validation. This precludes the use of existing models for clinical or research purposes. We recommend further studies to develop and validate reliable clinical prediction models for aSAH. Springer Science+Business Media New York, 2012 Clinical prediction models nationallicence Outcome nationallicence Subarachnoid hemorrhage nationallicence Systematic review nationallicence Jaja Blessing St. Michael's Hospital, University of Toronto, Toronto, ON, Canada aut Cusimano Michael St. Michael's Hospital, University of Toronto, Toronto, ON, Canada aut Etminan Nima Heinrich Heine University, Düsseldorf, Germany aut Hanggi Daniel Heinrich Heine University, Düsseldorf, Germany aut Hasan David University of Iowa, Iowa, IA, USA aut Ilodigwe Don St. Michael's Hospital, University of Toronto, Toronto, ON, Canada aut Lantigua Hector Columbia University, New York, NY, USA aut Le Roux Peter University of Pennsylvania, Philadelphia, PA, USA aut Lo Benjamin St. Michael's Hospital, University of Toronto, Toronto, ON, Canada aut Louffat-Olivares Ada St. Michael's Hospital, University of Toronto, Toronto, ON, Canada aut Mayer Stephan Columbia University, New York, NY, USA aut Molyneux Andrew Oxford University, Oxford, UK aut Quinn Audrey Leeds Teaching Hospitals NHS Trust, Leeds, UK aut Schweizer Tom St. Michael's Hospital, University of Toronto, Toronto, ON, Canada aut Schenk Thomas King's College London, London, UK aut Spears Julian St. Michael's Hospital, University of Toronto, Toronto, ON, Canada aut Todd Michael University of Iowa, Iowa, IA, USA aut Torner James University of Iowa, Iowa, IA, USA aut Vergouwen Mervyn University Medical Center Utrecht, Utrecht, Netherlands aut Wong George Chinese University of Hong Kong, Hong Kong, China aut Singh Jeff St. Michael's Hospital, University of Toronto, Toronto, ON, Canada aut Macdonald R. Division of Neurosurgery, St. Michael's Hospital, University of Toronto, 30 Bond Street, M5B 1W8, Toronto, ON, Canada aut Neurocritical Care Humana Press Inc 18/1(2013-02-01), 143-153 1541-6933 18:1<143 2013 18 12028 https://doi.org/10.1007/s12028-012-9792-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12028-012-9792-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jaja Blessing St. Michael's Hospital, University of Toronto, Toronto, ON, Canada aut NATIONALLICENCE 700 1- Cusimano Michael St. Michael's Hospital, University of Toronto, Toronto, ON, Canada aut NATIONALLICENCE 700 1- Etminan Nima Heinrich Heine University, Düsseldorf, Germany aut NATIONALLICENCE 700 1- Hanggi Daniel Heinrich Heine University, Düsseldorf, Germany aut NATIONALLICENCE 700 1- Hasan David University of Iowa, Iowa, IA, USA aut NATIONALLICENCE 700 1- Ilodigwe Don St. Michael's Hospital, University of Toronto, Toronto, ON, Canada aut NATIONALLICENCE 700 1- Lantigua Hector Columbia University, New York, NY, USA aut NATIONALLICENCE 700 1- Le Roux Peter University of Pennsylvania, Philadelphia, PA, USA aut NATIONALLICENCE 700 1- Lo Benjamin St. Michael's Hospital, University of Toronto, Toronto, ON, Canada aut NATIONALLICENCE 700 1- Louffat-Olivares Ada St. Michael's Hospital, University of Toronto, Toronto, ON, Canada aut NATIONALLICENCE 700 1- Mayer Stephan Columbia University, New York, NY, USA aut NATIONALLICENCE 700 1- Molyneux Andrew Oxford University, Oxford, UK aut NATIONALLICENCE 700 1- Quinn Audrey Leeds Teaching Hospitals NHS Trust, Leeds, UK aut NATIONALLICENCE 700 1- Schweizer Tom St. Michael's Hospital, University of Toronto, Toronto, ON, Canada aut NATIONALLICENCE 700 1- Schenk Thomas King's College London, London, UK aut NATIONALLICENCE 700 1- Spears Julian St. Michael's Hospital, University of Toronto, Toronto, ON, Canada aut NATIONALLICENCE 700 1- Todd Michael University of Iowa, Iowa, IA, USA aut NATIONALLICENCE 700 1- Torner James University of Iowa, Iowa, IA, USA aut NATIONALLICENCE 700 1- Vergouwen Mervyn University Medical Center Utrecht, Utrecht, Netherlands aut NATIONALLICENCE 700 1- Wong George Chinese University of Hong Kong, Hong Kong, China aut NATIONALLICENCE 700 1- Singh Jeff St. Michael's Hospital, University of Toronto, Toronto, ON, Canada aut NATIONALLICENCE 700 1- Macdonald R. Division of Neurosurgery, St. Michael's Hospital, University of Toronto, 30 Bond Street, M5B 1W8, Toronto, ON, Canada aut NATIONALLICENCE 773 0- Neurocritical Care Humana Press Inc 18/1(2013-02-01), 143-153 1541-6933 18:1<143 2013 18 12028 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer