Unknown

Dataset Information

0

Prediction of outcome after moderate and severe traumatic brain injury: external validation of the International Mission on Prognosis and Analysis of Clinical Trials (IMPACT) and Corticoid Randomisation After Significant Head injury (CRASH) prognostic models.


ABSTRACT: The International Mission on Prognosis and Analysis of Clinical Trials and Corticoid Randomisation After Significant Head injury prognostic models predict outcome after traumatic brain injury but have not been compared in large datasets. The objective of this is study is to validate externally and compare the International Mission on Prognosis and Analysis of Clinical Trials and Corticoid Randomisation after Significant Head injury prognostic models for prediction of outcome after moderate or severe traumatic brain injury.External validation study.We considered five new datasets with a total of 9,036 patients, comprising three randomized trials and two observational series, containing prospectively collected individual traumatic brain injury patient data.Outcomes were mortality and unfavorable outcome, based on the Glasgow Outcome Score at 6 months after injury. To assess performance, we studied the discrimination of the models (by area under the receiver operating characteristic curves), and calibration (by comparison of the mean observed to predicted outcomes and calibration slopes). The highest discrimination was found in the Trauma Audit and Research Network trauma registry (area under the receiver operating characteristic curves between 0.83 and 0.87), and the lowest discrimination in the Pharmos trial (area under the receiver operating characteristic curves between 0.65 and 0.71). Although differences in predictor effects between development and validation populations were found (calibration slopes varying between 0.58 and 1.53), the differences in discrimination were largely explained by differences in case mix in the validation studies. Calibration was good, the fraction of observed outcomes generally agreed well with the mean predicted outcome. No meaningful differences were noted in performance between the International Mission on Prognosis and Analysis of Clinical Trials and Corticoid Randomisation After Significant Head injury models. More complex models discriminated slightly better than simpler variants.Since both the International Mission on Prognosis and Analysis of Clinical Trials and the Corticoid Randomisation After Significant Head injury prognostic models show good generalizability to more recent data, they are valid instruments to quantify prognosis in traumatic brain injury.

SUBMITTER: Roozenbeek B 

PROVIDER: S-EPMC3335746 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Prediction of outcome after moderate and severe traumatic brain injury: external validation of the International Mission on Prognosis and Analysis of Clinical Trials (IMPACT) and Corticoid Randomisation After Significant Head injury (CRASH) prognostic models.

Roozenbeek Bob B   Lingsma Hester F HF   Lecky Fiona E FE   Lu Juan J   Weir James J   Butcher Isabella I   McHugh Gillian S GS   Murray Gordon D GD   Perel Pablo P   Maas Andrew I AI   Steyerberg Ewout W EW  

Critical care medicine 20120501 5


<h4>Objective</h4>The International Mission on Prognosis and Analysis of Clinical Trials and Corticoid Randomisation After Significant Head injury prognostic models predict outcome after traumatic brain injury but have not been compared in large datasets. The objective of this is study is to validate externally and compare the International Mission on Prognosis and Analysis of Clinical Trials and Corticoid Randomisation after Significant Head injury prognostic models for prediction of outcome af  ...[more]

Similar Datasets

| S-EPMC6081978 | biostudies-literature
| S-EPMC3481366 | biostudies-literature
| S-EPMC6709937 | biostudies-literature
| S-EPMC5899009 | biostudies-literature
| S-EPMC6639805 | biostudies-literature
| S-EPMC5939622 | biostudies-literature
| S-EPMC6780936 | biostudies-literature
| S-EPMC8478405 | biostudies-literature
| S-EPMC6444291 | biostudies-literature
| S-EPMC11318118 | biostudies-literature