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FältnamnIndikatorerMetadata
00006369naa a2200589 4500
001oai:DiVA.org:umu-180292
003SwePub
008210216s2021 | |||||||||||000 ||eng|
009oai:DiVA.org:oru-88109
009oai:prod.swepub.kib.ki.se:145363177
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1802922 URI
0247 a https://doi.org/10.1089/neu.2020.73002 DOI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-881092 URI
0247 a http://kipublications.ki.se/Default.aspx?queryparsed=id:1453631772 URI
040 a (SwePub)umud (SwePub)orud (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Dijkland, Simone A.u Department of Public Health, Center for Medical Decision Making, Erasmus MC-University Medical Center, Rotterdam, the Netherlands4 aut
2451 0a Outcome Prediction after Moderate and Severe Traumatic Brain Injury :b External Validation of Two Established Prognostic Models in 1742 European Patients
264 1b Mary Ann Liebert,c 2021
338 a print2 rdacarrier
520 a The International Mission on Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) and Corticoid Randomisation After Significant Head injury (CRASH) prognostic models predict functional outcome after moderate and severe traumatic brain injury (TBI). We aimed to assess their performance in a contemporary cohort of patients across Europe. The Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) core study is a prospective, observational cohort study in patients presenting with TBI and an indication for brain computed tomography. The CENTER-TBI core cohort consists of 4509 TBI patients available for analyses from 59 centers in 18 countries across Europe and Israel. The IMPACT validation cohort included 1173 patients with GCS ≤12, age ≥14, and 6-month Glasgow Outcome Scale-Extended (GOSE) available. The CRASH validation cohort contained 1742 patients with GCS ≤14, age ≥16, and 14-day mortality or 6-month GOSE available. Performance of the three IMPACT and two CRASH model variants was assessed with discrimination (area under the receiver operating characteristic curve; AUC) and calibration (comparison of observed vs. predicted outcome rates). For IMPACT, model discrimination was good, with AUCs ranging between 0.77 and 0.85 in 1173 patients and between 0.80 and 0.88 in the broader CRASH selection (n = 1742). For CRASH, AUCs ranged between 0.82 and 0.88 in 1742 patients and between 0.66 and 0.80 in the stricter IMPACT selection (n = 1173). Calibration of the IMPACT and CRASH models was generally moderate, with calibration-in-the-large and calibration slopes ranging between -2.02 and 0.61 and between 0.48 and 1.39, respectively. The IMPACT and CRASH models adequately identify patients at high risk for mortality or unfavorable outcome, which supports their use in research settings and for benchmarking in the context of quality-of-care assessment.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Neurologi0 (SwePub)302072 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Neurology0 (SwePub)302072 hsv//eng
653 a clinical prediction model
653 a external validation
653 a outcome
653 a prognosis
653 a traumatic brain injury
7001 a Retel Helmrich, Isabel R. A.u Department of Public Health, Center for Medical Decision Making, Erasmus MC-University Medical Center, Rotterdam, the Netherlands4 aut
7001 a Nieboer, Daanu Department of Public Health, Center for Medical Decision Making, Erasmus MC-University Medical Center, Rotterdam, the Netherlands4 aut
7001 a van der Jagt, Mathieuu Department of Intensive Care, Erasmus MC-University Medical Center, Rotterdam, the Netherlands4 aut
7001 a Dippel, Diederik W. J.u Department of Neurology, Erasmus MC-University Medical Center, Rotterdam, the Netherlands4 aut
7001 a Menon, David K.u Division of Anesthesia, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom4 aut
7001 a Stocchetti, Ninou Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, Department of Anesthesia and Critical Care, Neuroscience Intensive Care Unit, Milan, Italy4 aut
7001 a Maas, Andrew I. R.u Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium4 aut
7001 a Lingsma, Hester F.u Department of Public Health, Center for Medical Decision Making, Erasmus MC-University Medical Center, Rotterdam, the Netherlands4 aut
7001 a Steyerberg, Ewout W.u Department of Public Health, Center for Medical Decision Making, Erasmus MC-University Medical Center, Rotterdam, the Netherlands; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands4 aut
7001 a Brorsson, Camillau Umeå universitet,Institutionen för kirurgisk och perioperativ vetenskap4 ctb0 (Swepub:umu)brca0001
7001 a Koskinen, Lars-Owe D.,c Professor,d 1955-u Umeå universitet,Neurovetenskaper4 ctb0 (Swepub:umu)lako0002
7001 a Sundström, Ninau Umeå universitet,Institutionen för strålningsvetenskaper4 ctb0 (Swepub:umu)nian0004
7001 a Oresic, Matej,d 1967-u Örebro universitet,Institutionen för medicinska vetenskaper0 (Swepub:oru)moc
7102 a Department of Public Health, Center for Medical Decision Making, Erasmus MC-University Medical Center, Rotterdam, the Netherlandsb Department of Intensive Care, Erasmus MC-University Medical Center, Rotterdam, the Netherlands4 org
7730 t Journal of Neurotraumad : Mary Ann Liebertg 38:10, s. 1377-1388q 38:10<1377-1388x 0897-7151x 1557-9042
8564 u https://orbi.uliege.be/bitstream/2268/255405/1/Dijkland_JNeurotrauma2020.pdf
8564 u https://doi.org/10.1089/neu.2020.7300y Fulltext
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-180292
8564 8u https://doi.org/10.1089/neu.2020.7300
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-88109
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:145363177

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