| Literature DB >> 35941405 |
Rita de Cássia Almeida Vieira1,2,3, Juliana Cristina Pereira Silveira4, Wellingson Silva Paiva5, Daniel Vieira de Oliveira5, Camila Pedroso Estevam de Souza6, Eduesley Santana-Santos7, Regina Marcia Cardoso de Sousa4.
Abstract
This review aimed to analyze the results of investigations that performed external validation or that compared prognostic models to identify the models and their variations that showed the best performance in predicting mortality, survival, and unfavorable outcome after severe traumatic brain injury. Pubmed, Embase, Scopus, Web of Science, Cumulative Index to Nursing and Allied Health Literature, Google Scholar, TROVE, and Open Grey databases were searched. A total of 1616 studies were identified and screened, and 15 studies were subsequently included for analysis after applying the selection criteria. The Corticosteroid Randomization After Significant Head Injury (CRASH) and International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) models were the most externally validated among studies of severe traumatic brain injury. The results of the review showed that most publications encountered an area under the curve ≥ 0.70. The area under the curve meta-analysis showed similarity between the CRASH and IMPACT models and their variations for predicting mortality and unfavorable outcomes. Calibration results showed that the variations of CRASH and IMPACT models demonstrated adequate calibration in most studies for both outcomes, but without a clear indication of uncertainties in the evaluations of these models. Based on the results of this meta-analysis, the choice of prognostic models for clinical application may depend on the availability of predictors, characteristics of the population, and trauma care services.Entities:
Keywords: Brain injury; Outcome assessment; Predictive modeling; Prognostic modeling
Year: 2022 PMID: 35941405 DOI: 10.1007/s12028-022-01547-7
Source DB: PubMed Journal: Neurocrit Care ISSN: 1541-6933 Impact factor: 3.532