Nomogram for predicting traumatic subdural effusion after mild traumatic brain injury

ObjectiveTraumatic subdural effusion (TSE) is a common complication of traumatic brain injury (TBI). This study aimed to determine the risk factors associated with subdural effusion and to propose a nomogram to predict the risk of TSE in patients with mild TBI.MethodsWe retrospectively analyzed 120...

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Main Authors: Lichao Wei, Bowen Chang, Zhi Geng, Ming Chen, Yongsheng Cao, Liang Yao, Chao Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Neurology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.947976/full
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author Lichao Wei
Bowen Chang
Zhi Geng
Ming Chen
Yongsheng Cao
Liang Yao
Chao Ma
author_facet Lichao Wei
Bowen Chang
Zhi Geng
Ming Chen
Yongsheng Cao
Liang Yao
Chao Ma
author_sort Lichao Wei
collection DOAJ
description ObjectiveTraumatic subdural effusion (TSE) is a common complication of traumatic brain injury (TBI). This study aimed to determine the risk factors associated with subdural effusion and to propose a nomogram to predict the risk of TSE in patients with mild TBI.MethodsWe retrospectively analyzed 120 patients with mild TBI between January 2015 and December 2020 at the Third People's Hospital of Hefei. The risk factors of TSE were selected using univariate and multivariable logistic regression analysis. A nomogram was developed to predict the incidence of TSE. Receiver operating characteristics and calibration plots were used to evaluate the discrimination and fitting performance.ResultsOf the 120 patients, 32 developed subdural effusion after mild TBI. Univariate analysis showed that gender, age, history of hypertension, traumatic subarachnoid hemorrhage, subdural hematoma, basilar skull fracture, and cerebral contusion were varied significantly between groups (p < 0.05). Logistic multivariate regression analysis showed that the gender, age, history of hypertension, and basilar skull fracture were independent risk factors for TSE. Based on these results, a nomogram model was developed. The C-index of the nomogram was 0.78 (95% CI: 0.70–0.87). The nomogram had an area under the receiver operating characteristic curve of 0.78 (95% CI: 0.70–0.87). The calibration plot demonstrated the goodness of fit between the nomogram predictions and actual observations.ConclusionGender, age, history of hypertension, and basilar skull fracture can be used in a nomogram to predict subdural effusion after mild TBI.
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spelling doaj.art-3fcafb99841a4ade9c3c1ffb5c38622d2022-12-22T04:19:35ZengFrontiers Media S.A.Frontiers in Neurology1664-22952022-09-011310.3389/fneur.2022.947976947976Nomogram for predicting traumatic subdural effusion after mild traumatic brain injuryLichao Wei0Bowen Chang1Zhi Geng2Ming Chen3Yongsheng Cao4Liang Yao5Chao Ma6Department of Neurosurgery, The Third People's Hospital of Hefei, Anhui Medical University Hefei Third Clinical College, Hefei, ChinaDepartment of Neurology, The School of Mental Health and Psychological Sciences, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, ChinaDivision of Life Sciences and Medicine, Department of Neurosurgery, The First Affiliated Hospital of USTC, University of Science and Technology of China Hefei, Hefei, ChinaDepartment of Neurosurgery, School of Medicine, XinHua Hospital, Shanghai Jiaotong University, Shanghai, ChinaDepartment of Neurosurgery, The Third People's Hospital of Hefei, Anhui Medical University Hefei Third Clinical College, Hefei, ChinaDepartment of Neurosurgery, The Third People's Hospital of Hefei, Anhui Medical University Hefei Third Clinical College, Hefei, ChinaDepartment of Neurosurgery, The Third People's Hospital of Hefei, Anhui Medical University Hefei Third Clinical College, Hefei, ChinaObjectiveTraumatic subdural effusion (TSE) is a common complication of traumatic brain injury (TBI). This study aimed to determine the risk factors associated with subdural effusion and to propose a nomogram to predict the risk of TSE in patients with mild TBI.MethodsWe retrospectively analyzed 120 patients with mild TBI between January 2015 and December 2020 at the Third People's Hospital of Hefei. The risk factors of TSE were selected using univariate and multivariable logistic regression analysis. A nomogram was developed to predict the incidence of TSE. Receiver operating characteristics and calibration plots were used to evaluate the discrimination and fitting performance.ResultsOf the 120 patients, 32 developed subdural effusion after mild TBI. Univariate analysis showed that gender, age, history of hypertension, traumatic subarachnoid hemorrhage, subdural hematoma, basilar skull fracture, and cerebral contusion were varied significantly between groups (p < 0.05). Logistic multivariate regression analysis showed that the gender, age, history of hypertension, and basilar skull fracture were independent risk factors for TSE. Based on these results, a nomogram model was developed. The C-index of the nomogram was 0.78 (95% CI: 0.70–0.87). The nomogram had an area under the receiver operating characteristic curve of 0.78 (95% CI: 0.70–0.87). The calibration plot demonstrated the goodness of fit between the nomogram predictions and actual observations.ConclusionGender, age, history of hypertension, and basilar skull fracture can be used in a nomogram to predict subdural effusion after mild TBI.https://www.frontiersin.org/articles/10.3389/fneur.2022.947976/fullnomogramprediction modelrisk factorstraumatic subdural effusionmild traumatic brain injury
spellingShingle Lichao Wei
Bowen Chang
Zhi Geng
Ming Chen
Yongsheng Cao
Liang Yao
Chao Ma
Nomogram for predicting traumatic subdural effusion after mild traumatic brain injury
Frontiers in Neurology
nomogram
prediction model
risk factors
traumatic subdural effusion
mild traumatic brain injury
title Nomogram for predicting traumatic subdural effusion after mild traumatic brain injury
title_full Nomogram for predicting traumatic subdural effusion after mild traumatic brain injury
title_fullStr Nomogram for predicting traumatic subdural effusion after mild traumatic brain injury
title_full_unstemmed Nomogram for predicting traumatic subdural effusion after mild traumatic brain injury
title_short Nomogram for predicting traumatic subdural effusion after mild traumatic brain injury
title_sort nomogram for predicting traumatic subdural effusion after mild traumatic brain injury
topic nomogram
prediction model
risk factors
traumatic subdural effusion
mild traumatic brain injury
url https://www.frontiersin.org/articles/10.3389/fneur.2022.947976/full
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AT mingchen nomogramforpredictingtraumaticsubduraleffusionaftermildtraumaticbraininjury
AT yongshengcao nomogramforpredictingtraumaticsubduraleffusionaftermildtraumaticbraininjury
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