Literature DB >> 25237737

Validation of a prognostic score for early mortality in severe head injury cases.

Pedro A Gómez1, Javier de-la-Cruz, David Lora, Luis Jiménez-Roldán, Gregorio Rodríguez-Boto, Rosario Sarabia, Juan Sahuquillo, Roberto Lastra, Jesus Morera, Eglis Lazo, Jaime Dominguez, Javier Ibañez, Marta Brell, Adolfo de-la-Lama, Ramiro D Lobato, Alfonso Lagares.   

Abstract

OBJECT: Traumatic brain injury (TBI) represents a large health and economic burden. Because of the inability of previous randomized controlled trials (RCTs) on TBI to demonstrate the expected benefit of reducing unfavorable outcomes, the IMPACT (International Mission on Prognosis and Analysis of Clinical Trials in TBI) and CRASH (Corticosteroid Randomisation After Significant Head Injury) studies provided new methods for performing prognostic studies of TBI. This study aimed to develop and externally validate a prognostic model for early death (within 48 hours). The secondary aim was to identify patients who were more likely to succumb to an early death to limit their inclusion in RCTs and to improve the efficiency of RCTs.
METHODS: The derivation cohort was recruited at 1 center, Hospital 12 de Octubre, Madrid (1990-2003, 925 patients). The validation cohort was recruited in 2004-2006 from 7 study centers (374 patients). The eligible patients had suffered closed severe TBIs. The study outcome was early death (within 48 hours post-TBI). The predictors were selected using logistic regression modeling with bootstrapping techniques, and a penalized reduction was used. A risk score was developed based on the regression coefficients of the variables included in the final model.
RESULTS: In the validation set, the final model showed a predictive ability of 50% (Nagelkerke R(2)), with an area under the receiver operating characteristic curve of 89% and an acceptable calibration (goodness-of-fit test, p = 0.32). The final model included 7 variables, and it was used to develop a risk score with a range from 0 to 20 points. Age provided 0, 1, 2, or 3 points depending on the age group; motor score provided 0 points, 2 (untestable), or 3 (no response); pupillary reactivity, 0, 2 (1 pupil reacted), or 6 (no pupil reacted); shock, 0 (no) or 2 (yes); subarachnoid hemorrhage, 0 or 1 (severe deposit); cisternal status, 0 or 3 (compressed/absent); and epidural hematoma, 0 (yes) or 2 (no). Based on the risk of early death estimated with the model, 4 risk of early death groups were established: low risk, sum score 0-3 (< 1% predicted mortality); moderate risk, sum score 4-8 (predicted mortality between 1% and 10%); high risk, sum score 9-12 (probability of early death between 10% and 50%); and very high risk, sum score 13-20 (early mortality probability > 50%). This score could be used for selecting patients for clinical studies. For example, if patients with very high risk scores were excluded from our study sample, the patients included (eligibility score < 13) would represent 80% of the original sample and only 23% of the patients who died early.
CONCLUSIONS: The combination of Glasgow Coma Scale score, CT scanning results, and secondary insult data into a prognostic score improved the prediction of early death and the classification of TBI patients.

Entities:  

Keywords:  GCS = Glasgow Coma Scale; RCT = randomized controlled trial; ROC = receiver operating characteristic; SAH = subarachnoid hemorrhage; TBI = traumatic brain injury; early death; external validation; prognosis; severe traumatic brain injury

Mesh:

Year:  2014        PMID: 25237737     DOI: 10.3171/2014.7.JNS131874

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  8 in total

1.  Mild traumatic brain injury-induced hippocampal gene expressions: The identification of target cellular processes for drug development.

Authors:  David Tweedie; Lital Rachmany; Dong Seok Kim; Vardit Rubovitch; Elin Lehrmann; Yongqing Zhang; Kevin G Becker; Evelyn Perez; Chaim G Pick; Nigel H Greig
Journal:  J Neurosci Methods       Date:  2016-02-08       Impact factor: 2.390

Review 2.  Prognostic Models in Severe Traumatic Brain Injury: A Systematic Review and Meta-analysis.

Authors:  Rita de Cássia Almeida Vieira; Juliana Cristina Pereira Silveira; Wellingson Silva Paiva; Daniel Vieira de Oliveira; Camila Pedroso Estevam de Souza; Eduesley Santana-Santos; Regina Marcia Cardoso de Sousa
Journal:  Neurocrit Care       Date:  2022-08-09       Impact factor: 3.532

3.  Lateral Ventricle Volume Asymmetry Predicts Midline Shift in Severe Traumatic Brain Injury.

Authors:  Arnold Tóth; Ilona Schmalfuss; Shelley C Heaton; Andrea Gabrielli; H Julia Hannay; Linda Papa; Gretchen M Brophy; Kevin K W Wang; András Büki; Attila Schwarcz; Ronald L Hayes; Claudia S Robertson; Steven A Robicsek
Journal:  J Neurotrauma       Date:  2015-05-19       Impact factor: 5.269

Review 4.  Development of prognostic models for patients with traumatic brain injury: a systematic review.

Authors:  Jinxi Gao; Zhaocong Zheng
Journal:  Int J Clin Exp Med       Date:  2015-11-15

5.  Radiologic Findings and Patient Factors Associated with 30-Day Mortality after Surgical Evacuation of Subdural Hematoma in Patients Less Than 65 Years Old.

Authors:  Myung-Hoon Han; Je Il Ryu; Choong Hyun Kim; Jae Min Kim; Jin Hwan Cheong; Hyeong-Joong Yi
Journal:  J Korean Neurosurg Soc       Date:  2017-03-01

6.  Circulating Brain Injury Exosomal Proteins following Moderate-To-Severe Traumatic Brain Injury: Temporal Profile, Outcome Prediction and Therapy Implications.

Authors:  Stefania Mondello; Vivian A Guedes; Chen Lai; Endre Czeiter; Krisztina Amrein; Firas Kobeissy; Yehia Mechref; Andreas Jeromin; Sara Mithani; Carina Martin; Chelsea L Wagner; Andras Czigler; Luca Tóth; Bálint Fazekas; Andras Buki; Jessica Gill
Journal:  Cells       Date:  2020-04-15       Impact factor: 6.600

7.  Genetic Background Influences Acute Response to TBI in Kindling-Susceptible, Kindling-Resistant, and Outbred Rats.

Authors:  Robert J Kotloski; Paul A Rutecki; Thomas P Sutula
Journal:  Front Neurol       Date:  2020-01-10       Impact factor: 4.003

Review 8.  Development and Validation of Indicators for Population Injury Surveillance in Hong Kong: Development and Usability Study.

Authors:  Keith T S Tung; Rosa S Wong; Frederick K Ho; Ko Ling Chan; Wilfred H S Wong; Hugo Leung; Ming Leung; Gilberto K K Leung; Chun Bong Chow; Patrick Ip
Journal:  JMIR Public Health Surveill       Date:  2022-08-18
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.