Predicting Outcome After Severe Head Injury—A Computer-Assisted Analysis of Neurological Symptoms and Laboratory Values

Auer, L. M.; Gell, G.; Richling, B.; Oberbauer, Rainer

doi:10.1007/978-3-7091-4088-8_41

Cited by 7 publications

(3 citation statements)

References 24 publications

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“…Much interest has been focused on the prediction of outcome after head injury [1][2][3][4][5][6][7][8][9][10][11].…”

mentioning

confidence: 99%

Computed tomography in the prediction of outcome in head injury

Lipper¹,

Kishore²,

Enas³

et al. 1985

American Journal of Roentgenology

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words. Serial CT was performed on admission and 3-5 days, 2 weeks, 3 months, and I year after injury. A scale of severity of abnormalities was devised taking into account the size of the traumatic lesions on CT. The CT findings using the proposed scale were correlated with the clinical outcome and analyzed using linear logistic regression.Other characteristics such as midline shift, multiplicity, and corpus callosum and brainstem lesions were not included in the analysis either because they did not affect the prognosis or because too few of these lesions were present for statistical analysis. The correct prediction rate of outcome using the proposed scale for CT findings alone was found to be 69.7%. When CT findings were combined with the Glasgow Coma Scale score this rate was increased to 75.8%.

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“…Much interest has been focused on the prediction of outcome after head injury [1][2][3][4][5][6][7][8][9][10][11].…”

mentioning

confidence: 99%

Computed tomography in the prediction of outcome in head injury

Lipper¹,

Kishore²,

Enas³

et al. 1985

American Journal of Roentgenology

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“…As a result, it is difficult to compare different groups at different times with contrasting treatment modalities, as Braakman et al reported. 21,22 The goal of the present study was to identify combined parameters influencing the prognosis of patients with TBI.…”

Section: Discussionmentioning

confidence: 99%

Early Prognostication after Traumatic Brain Injury: Specific Validation of the IMPACT Prognostic Calculator in a Level 1 Trauma Center

Jung

Arlt

Rosołowski³

et al. 2019

J Neurol Surg A Cent Eur Neurosurg

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The present study evaluated the usefulness of the IMPACT prognostic calculator (IPC) for patients receiving acute neurointensive care at a level 1 trauma center in Germany. A total of 139 patients with traumatic brain injury (TBI) were assessed. One day after trauma, the extended model of the IPC was found to provide the most valid prediction of 6-month mortality/unfavorable outcome. Different time frames within the first day could be determined by analyzing mild, moderate, and severe TBI cohorts. The CORE + CT model at time frame Z2 (<6 h from the point of first documentation) for mild TBI exhibited the highest values in the receiver operating characteristic (ROC) analysis (area under the curve [AUC], 0.9; sensitivity, 1; specificity, 0.7). For patients with moderate head injury at time frame Z2/3 (<6–12 h from point of first documentation), the extended model fit best. For patients with severe TBI, the extended model at time frame Z6 (48–72 h from point of first documentation) best predicted 6-month mortality and unfavorable outcome (ROC analysis: AUC, 0.542/0.445; sensitivity, 0.167/0.364; specificity, 0.575/0.444). Center-specific validation demonstrated the validity of the IPC in the early phase after TBI. These findings support the usefulness of the IPC for predicting the prognosis of patients with TBI. However, further prospective validation using a larger TBI cohort is needed.

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“…Esta pérdida de exactitud está motivada generalmente por factores que enmascaran el verdadero estado neurológico de los pacientes con un TCEG, como por ejemplo, la intoxicación por alcohol u otras drogas que están presentes en un 40% a un 60% de las ocasiones 15,27,36,40,44,47,60,78 . La exactitud de las predicciones realizadas tardíamente aumenta cuando éstas se limitan simplemente a dos opciones (mortalidad o supervivencia), de tal manera que la probabilidad de morir o quedar gravemente incapacitado tras un TCEG puede normalmente predecirse con exactitud pasadas las primeras 24 horas 3,54,61,81,83 .…”

Section: Momento De Realizar Las Prediccionesunclassified

Modelos pronósticos en el traumatismo craneoencefálico grave

et al. 2006

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Severe head injury (SHI) is one of the most important health, social, and economic problems in industrialized countries. Most of the recent studies related to this entity still show pessimistic results, with percentages of mortality and unfavourable outcomes very similar than those reported in the last quarter of century. In order to make predictions for patients with SHI, different "prognostic formulas or models" reviewed in this manuscript, have been developed with the main objective of performing reliable predictions for patients with this pathology. These models are constructed by using a group of "prognostic indicators or factors" and different "prognostic scales" useful for measuring the final outcome. The different "statistical techniques or methods" necessary to develop these prognostic models are also analyzed in this paper.

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Predicting Outcome After Severe Head Injury—A Computer-Assisted Analysis of Neurological Symptoms and Laboratory Values

Cited by 7 publications

References 24 publications

Computed tomography in the prediction of outcome in head injury

Computed tomography in the prediction of outcome in head injury

Early Prognostication after Traumatic Brain Injury: Specific Validation of the IMPACT Prognostic Calculator in a Level 1 Trauma Center

Modelos pronósticos en el traumatismo craneoencefálico grave

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