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External validation of the Glasgow coma scale-pupils in low- to middle-income country patients with traumatic brain injury: Could “motor score-pupil” have higher prognostic value?

BACKGROUND: The objective of this study is to validate the admission Glasgow coma scale (GCS) associated with pupil response (GCS-P) to predict traumatic brain injury (TBI) patient’s outcomes in a low- to middle-income country and to compare its performance with that of a simplified model combining...

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Detalles Bibliográficos
Autores principales: De Souza, Matheus Rodrigues, Pipek, Leonardo Zumerkorn, Fagundes, Caroline Ferreira, Solla, Davi J. Fontoura, da Silva, Gustavo Carlos Lucena, Godoy, Daniel Agustin, Kolias, Angelos G., Amorim, Robson Luis Oliveira, Paiva, Wellingson Silva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Scientific Scholar 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699856/
https://www.ncbi.nlm.nih.gov/pubmed/36447875
http://dx.doi.org/10.25259/SNI_737_2022
Descripción
Sumario:BACKGROUND: The objective of this study is to validate the admission Glasgow coma scale (GCS) associated with pupil response (GCS-P) to predict traumatic brain injury (TBI) patient’s outcomes in a low- to middle-income country and to compare its performance with that of a simplified model combining the better motor response of the GCS and the pupilar response (MS-P). METHODS: This is a prospective cohort of patients with TBI in a tertiary trauma reference center in Brazil. Predictive values of the GCS, GCS-P, and MS-P were evaluated and compared for 14 day and in-hospital mortality outcomes and length of hospital stay (LHS). RESULTS: The study enrolled 447 patients. MS-P demonstrated better discriminative ability than GCS to predict mortality (AUC 0.736 × 0.658; P < 0.001) and higher AUC than GCS-P (0.736 × 0.704, respectively; P = 0.073). For hospital mortality, MS-P demonstrated better discrimination than GCS (AUC, 0.750 × 0.682; P < 0.001) and higher AUC than GCS-P (0.750 × 0.714; P = 0.027). Both scores were good predictors of LHS (r(2) = 0.084 [GCS-P] × 0.079 [GCS] × 0.072 [MS-P]). CONCLUSION: The predictive value of the GCS, GCS-P, and MS-P scales was demonstrated, thus contributing to its external validation in low- to middle-income country.