scholarly journals Sequential changes in Rotterdam CT scores related to outcomes for patients with traumatic brain injury who undergo decompressive craniectomy

2016 ◽  
Vol 124 (6) ◽  
pp. 1640-1645 ◽  
Author(s):  
Kenji Fujimoto ◽  
Masaki Miura ◽  
Tadahiro Otsuka ◽  
Jun-ichi Kuratsu
Keyword(s):  
Traumatic Brain Injury ◽  
Logistic Regression ◽  
Brain Injury ◽  
Decompressive Craniectomy ◽  
Roc Curve ◽  
Area Under The Curve ◽  
Prognostic Indicator ◽  
Unfavorable Outcome ◽  
Multivariable Logistic Regression Analysis ◽  
The Relationship

OBJECT Rotterdam CT scoring is a CT classification system for grouping patients with traumatic brain injury (TBI) based on multiple CT characteristics. This retrospective study aimed to determine the relationship between initial or preoperative Rotterdam CT scores and TBI prognosis after decompressive craniectomy (DC). METHODS The authors retrospectively reviewed the medical records of all consecutive patients who underwent DC for nonpenetrating TBI in 2 hospitals from January 2006 through December 2013. Univariate and multivariate logistic regression and receiver operating characteristic (ROC) curve analyses were used to determine the relationship between initial or preoperative Rotterdam CT scores and mortality at 30 days or Glasgow Outcome Scale (GOS) scores at least 3 months after the time of injury. Unfavorable outcomes were GOS Scores 1–3 and favorable outcomes were GOS Scores 4 and 5. RESULTS A total of 48 cases involving patients who underwent DC for TBI were included in this study. Univariate analyses showed that initial Rotterdam CT scores were significantly associated with mortality and both initial and preoperative Rotterdam CT scores were significantly associated with unfavorable outcomes. Multivariable logistic regression analysis adjusted for established predictors of TBI outcomes showed that initial Rotterdam CT scores were significantly associated with mortality (OR 4.98, 95% CI 1.40–17.78, p = 0.01) and unfavorable outcomes (OR 3.66, 95% CI 1.29–10.39, p = 0.02) and preoperative Rotterdam CT scores were significantly associated with unfavorable outcomes (OR 15.29, 95% CI 2.50–93.53, p = 0.003). ROC curve analyses showed cutoff values for the initial Rotterdam CT score of 5.5 (area under the curve [AUC] 0.74, 95% CI 0.59–0.90, p = 0.009, sensitivity 50.0%, and specificity 88.2%) for mortality and 4.5 (AUC 0.71, 95% CI 0.56–0.86, p = 0.02, sensitivity 62.5%, and specificity 75.0%) for an unfavorable outcome and a cutoff value for the preoperative Rotterdam CT score of 4.5 (AUC 0.81, 95% CI 0.69–0.94, p < 0.001, sensitivity 90.6%, and specificity 56.2%) for an unfavorable outcome. CONCLUSIONS Assessment of changes in Rotterdam CT scores over time may serve as a prognostic indicator in TBI and can help determine which patients require DC.

scholarly journals Intracranial Pressure during External Ventricular Drainage Weaning Is an Outcome Predictor of Traumatic Brain Injury

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Jia-cheng Gu ◽  
Hong Wu ◽  
Xing-zhao Chen ◽  
Jun-feng Feng ◽  
Guo-yi Gao ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Intracranial Pressure ◽  
External Ventricular Drainage ◽  
Unfavorable Outcome ◽  
Ventricular Drainage ◽  
Outcome Group ◽  
Significant Difference ◽  
The Mean ◽  
The Relationship

External ventricular drainage (EVD) is widely used in patients with a traumatic brain injury (TBI). However, the EVD weaning trial protocol varies and insufficient studies focus on the intracranial pressure (ICP) during the weaning trial. We aimed to establish the relationship between ICP during an EVD weaning trial and the outcomes of TBI. We enrolled 37 patients with a TBI with an EVD from July 2018 to September 2019. Among them, 26 were allocated to the favorable outcome group and 11 to the unfavorable outcome group (death, post-traumatic hydrocephalus, persistent vegetative state, and severe disability). Groups were well matched for sex, pupil reactivity, admission Glasgow Coma Scale score, Marshall computed tomography score, modified Fisher score, intraventricular hemorrhage, EVD days, cerebrospinal fluid output before the weaning trial, and the complications. Before and during the weaning trial, we recorded the ICP at 1-hour intervals to calculate the mean ICP, delta ICP, and ICP burden, which was defined as the area under the ICP curve. There were significant between-group differences in the age, surgery types, and intensive care unit days (p=0.045, p=0.028, and p=0.004, respectively). During the weaning trial, 28 (75.7%) patients had an increased ICP. Although there was no significant difference in the mean ICP before and during the weaning trial, the delta ICP was higher in the unfavorable outcome group (p=0.001). Moreover, patients who experienced death and hydrocephalus had a higher ICP burden, which was above 20 mmHg (p=0.016). Receiver operating characteristic analyses demonstrated the predictive ability of these variables (area under the curve AUC=0.818 [p=0.002] for delta ICP and AUC=0.758 [p=0.038] for ICP burden>20 mmHg). ICP elevation is common during EVD weaning trials in patients with TBI. ICP-related parameters, including delta ICP and ICP burden, are significant outcome predictors. There is a need for larger prospective studies to further explore the relationship between ICP during EVD weaning trials and TBI outcomes.

Correlating the Blood Alcohol Concentration with Outcome after Traumatic Brain Injury: Too Much Is Not a Bad Thing

2011 ◽  
Vol 77 (10) ◽  
pp. 1416-1419 ◽  
Author(s):  
Cherisse Berry ◽  
Eric J. Ley ◽  
Daniel R. Margulies ◽  
James Mirocha ◽  
Marko Bukur ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Los Angeles ◽  
Linear Trend ◽  
Blood Alcohol Concentration ◽  
Alcohol Concentration ◽  
Multivariable Logistic Regression Analysis ◽  
Blood Alcohol ◽  
Severe Tbi ◽  
The Relationship

Although recent evidence suggests a beneficial effect of alcohol for patients with traumatic brain injury (TBI), the level of alcohol that confers the protective effect is unknown. Our objective was to investigate the relationship between admission blood alcohol concentration (BAC) and outcomes in patients with isolated moderate to severe TBI. From 2005 to 2009, the Los Angeles County Trauma Database was queried for all patients ≥14 years of age with isolated moderate to severe TBI and admission serum alcohol levels. Patients were then stratified into four levels based on admission BAC: None (0 mg/dL), low (0-100 mg/dL), moderate (100-230 mg/dL), and high (≥230 mg/dL). Demographics, patient characteristics, and outcomes were compared across levels. In evaluating 3794 patients, the mortality rate decreased with increasing BAC levels (linear trend P < 0.0001). In determining the relationship between BAC and mortality, multivariable logistic regression analysis demonstrated a high BAC level was significantly protective (adjusted odds ratio 0.55; 95% confidence interval: 0.38-0.8; P = 0.002). In the largest study to date, a high (≥230 mg/dL) admission BAC was independently associated with improved survival in patients with isolated moderate to severe TBI. Additional research is warranted to investigate the potential therapeutic implications.

scholarly journals Prognostication of Traumatic Brain Injury using International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury score in Nepalese Cohort

2021 ◽  
Vol 18 (4) ◽  
pp. 26-32
Author(s):  
Binit Kumar Jha ◽  
Prabhat Jha ◽  
Bikesh Khambu ◽  
Rajendra Shrestha ◽  
Rajiv Jha ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Clinical Trials ◽  
Brain Injury ◽  
Correlation Coefficient ◽  
Roc Curve ◽  
Patient Population ◽  
Prognostic Model ◽  
Unfavorable Outcome ◽  
Impact Score ◽  
Severe Tbi

Introduction: Traumatic brain injury disease of major importance globally. Prognostic models are useful for making decisions in the clinical practice. The aim of this study was to assess the accuracy of International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT) score in predicting outcome in moderate to severe TBI at 3 months.  Materials and Methods: All patients admitted to National Trauma Center, National Academy of Medical Sciences with moderate to severe traumatic brain injury from February 2020 to February 2021 were included in the study. IMPACT scores (core/extended core/ lab) were recorded separately at admission. Outcome was measured with Glasgow Outcome Scale (GOS) at the time of discharge and at six months. Correlation between observed and predicted outcomes was evaluated by Pearson’s correlation coefficient (r). Sensitivity and specificity were plotted in the receiver-operating characteristic (ROC) curve, and the area under the curve (AUC) was calculated to determine the discrimination ability of this prognostic model. Results: A total of 112 patients were enrolled in the study. Eighty (71.4 %) patients had moderate and 32 (28.57 %) had severe TBI. The median age was 33 years with male preponderance (M: F=4:1). Thirty three (29.5 %) patients died within 6 months of TBI, and 38 (33.9 %) patients  had an unfavorable outcome. Pearson correlation coefficient showed good correlation between observed and predicted outcomes. Hosmer-Lemeshow test showed good model fit for IMPACT core, IMPACT extended and IMPACT lab in diagnosing mortality and unfavorable outcome in six months (p>0.05). The ROC curve indicated that all 3 models could accurately discriminate between favorable and unfavorable outcomes, as well as between survival and mortality (unfavorable outcome AUC= 0.905, 0.940, 0.955; mortality AUC= 0.875, 0.914, 0.917 respectively) in our patient population. Conclusion: The IMPACT score is a good prognostic model to predict 6-month outcomes in moderate to severe TBI at admission in Nepalese patient population. Among the three IMPACT models, IMPACT lab has the greatest discriminating ability.  

scholarly journals Factors associated with shunt-dependent hydrocephalus after decompressive craniectomy for traumatic brain injury

2018 ◽  
Vol 128 (5) ◽  
pp. 1547-1552 ◽  
Author(s):  
Aditya Vedantam ◽  
Jose-Miguel Yamal ◽  
Hyunsoo Hwang ◽  
Claudia S. Robertson ◽  
Shankar P. Gopinath
Keyword(s):  
Traumatic Brain Injury ◽  
Logistic Regression ◽  
Brain Injury ◽  
Decompressive Craniectomy ◽  
Controlled Trial ◽  
Statistical Significance ◽  
Ventriculoperitoneal Shunting ◽  
Younger Age ◽  
Frontal Horn ◽  
Severe Tbi

OBJECTIVEPosttraumatic hydrocephalus (PTH) affects 11.9%–36% of patients undergoing decompressive craniectomy (DC) and is an important cause of morbidity after traumatic brain injury (TBI). Early diagnosis and treatment of PTH can prevent further neurological compromise in patients who are recovering from TBI. There is limited data on predictors of shunting for PTH after DC for TBI.METHODSProspectively collected data from the erythropoietin severe TBI randomized controlled trial were studied. Demographic, clinical, and imaging data were analyzed for enrolled patients who underwent a DC. All head CT scans during admission were reviewed and assessed for PTH by the Gudeman criteria or the modified Frontal Horn Index ≥ 33%. The presence of subdural hygromas was categorized as unilateral/bilateral hemispheric or interhemispheric. Using L1-regularized logistic regression to select variables, a multiple logistic regression model was created with ventriculoperitoneal shunting as the binary outcome. Statistical significance was set at p < 0.05.RESULTSA total of 60 patients who underwent DC were studied. Fifteen patients (25%) underwent placement of a ventriculoperitoneal shunt for PTH. The majority of patients underwent unilateral decompressive hemicraniectomy (n = 46, 77%). Seven patients (12%) underwent bifrontal DC. Unilateral and bilateral hemispheric hygromas were noted in 31 (52%) and 7 (11%) patients, respectively. Interhemispheric hygromas were observed in 19 patients (32%). The mean duration from injury to first CT scan showing hemispheric subdural hygroma and interhemispheric hygroma was 7.9 ± 6.5 days and 14.9 ± 11.7 days, respectively. The median duration from injury to shunt placement was 43.7 days. Multivariate analysis showed that the presence of interhemispheric hygroma (OR 63.6, p = 0.001) and younger age (OR 0.78, p = 0.009) were significantly associated with the need for a shunt after DC.CONCLUSIONSThe presence of interhemispheric subdural hygromas and younger age were associated with shunt-dependent hydrocephalus after DC in patients with severe TBI.

Prognostic significance of abnormal hematological parameters in severe traumatic brain injury requiring decompressive craniectomy

2020 ◽  
Vol 132 (2) ◽  
pp. 545-551 ◽  
Author(s):  
Jade-Marie Corbett ◽  
Kwok M. Ho ◽  
Stephen Honeybul
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Decompressive Craniectomy ◽  
Prognostic Model ◽  
Prognostic Significance ◽  
Unfavorable Outcome ◽  
Severe Tbi ◽  
Hematological Abnormalities ◽  
The Impact ◽  
Predicted Risk

OBJECTIVEHematological abnormalities after severe traumatic brain injury (TBI) are common, and are associated with a poor outcome. Whether these abnormalities offer additional prognostic significance over and beyond validated TBI prognostic models is uncertain.METHODSThis retrospective cohort study compared the ability of admission hematological abnormalities to that of the IMPACT (International Mission for Prognosis and Analysis of Clinical Trials) prognostic model to predict 18-month neurological outcome of 388 patients who required a decompressive craniectomy after severe TBI, between 2004 and 2016, in Western Australia. Area under the receiver operating characteristic (AUROC) curve was used to assess predictors’ ability to discriminate between patients with and without an unfavorable outcome of death, vegetative state, or severe disability.RESULTSOf the 388 patients included in the study, 151 (38.9%) had an unfavorable outcome at 18 months after decompressive craniectomy for severe TBI. Abnormalities in admission hemoglobin (AUROC 0.594, p = 0.002), plasma glucose (AUROC 0.592, p = 0.002), fibrinogen (AUROC 0.563, p = 0.036), international normalized ratio (INR; AUROC 0.645, p = 0.001), activated partial thromboplastin time (AUROC 0.564, p = 0.033), and disseminated intravascular coagulation score (AUROC 0.623, p = 0.001) were all associated with a higher risk of unfavorable outcome at 18 months after severe TBI. As a marker of inflammation, neutrophil to lymphocyte ratio was not significantly associated with the risk of unfavorable outcome (AUROC 0.500, p = 0.998). However, none of these parameters, in addition to the platelet count, were significantly associated with an unfavorable outcome after adjusting for the IMPACT predicted risk (odds ratio [OR] per 10% increment in risk 2.473, 95% confidence interval [CI] 2.061–2.967; p = 0.001). After excluding 8 patients (2.1%) who were treated with warfarin prior to the injury, there was a suggestion that INR was associated with some additional prognostic significance (OR 3.183, 95% CI 0.856–11.833; p = 0.084) after adjusting for the IMPACT predicted risk.CONCLUSIONSIn isolation, INR was the best hematological prognostic parameter in severe TBI requiring decompressive craniectomy, especially when patients treated with warfarin were excluded. However, the prognostic significance of admission hematological abnormalities was mostly captured by the IMPACT prognostic model, such that they did not offer any additional prognostic information beyond the IMPACT predicted risk. These results suggest that new prognostic factors for TBI should be evaluated in conjunction with predicted risks of a comprehensive prognostic model that has been validated, such as the IMPACT prognostic model.

scholarly journals Death after discharge: prognostic model of 1-year mortality in traumatic brain injury patients undergoing decompressive craniectomy

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Wenxing Cui ◽  
Shunnan Ge ◽  
Yingwu Shi ◽  
Xun Wu ◽  
Jianing Luo ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Logistic Regression ◽  
Brain Injury ◽  
Random Forest ◽  
Decompressive Craniectomy ◽  
Prognostic Model ◽  
Mortality Prediction ◽  
Random Tree ◽  
Prognostic Models ◽  
Biochemical Tests

Abstract Background Despite advances in decompressive craniectomy (DC) for the treatment of traumatic brain injury (TBI), these patients are at risk of having a poor long-term prognosis. The aim of this study was to predict 1-year mortality in TBI patients undergoing DC using logistic regression and random tree models. Methods This was a retrospective analysis of TBI patients undergoing DC from January 1, 2015, to April 25, 2019. Patient demographic characteristics, biochemical tests, and intraoperative factors were collected. One-year mortality prognostic models were developed using multivariate logistic regression and random tree algorithms. The overall accuracy, sensitivity, specificity, and area under the receiver operating characteristic curves (AUCs) were used to evaluate model performance. Results Of the 230 patients, 70 (30.4%) died within 1 year. Older age (OR, 1.066; 95% CI, 1.045–1.087; P < 0.001), higher Glasgow Coma Score (GCS) (OR, 0.737; 95% CI, 0.660–0.824; P < 0.001), higher d-dimer (OR, 1.005; 95% CI, 1.001–1.009; P = 0.015), coagulopathy (OR, 2.965; 95% CI, 1.808–4.864; P < 0.001), hypotension (OR, 3.862; 95% CI, 2.176–6.855; P < 0.001), and completely effaced basal cisterns (OR, 3.766; 95% CI, 2.255–6.290; P < 0.001) were independent predictors of 1-year mortality. Random forest demonstrated better performance for 1-year mortality prediction, which achieved an overall accuracy of 0.810, sensitivity of 0.833, specificity of 0.800, and AUC of 0.830 on the testing data compared to the logistic regression model. Conclusions The random forest model showed relatively good predictive performance for 1-year mortality in TBI patients undergoing DC. Further external tests are required to verify our prognostic model.

scholarly journals Effect of primary decompressive craniectomy on outcomes in severe traumatic brain injury with mass lesions and the independent predictors for operation decision

2020 ◽  
Author(s):  
Chen Yang ◽  
Jia-Rui Zhang ◽  
Gang Zhu ◽  
Hao Guo ◽  
Fei Gao ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Logistic Regression ◽  
Brain Injury ◽  
Decompressive Craniectomy ◽  
Pupillary Light Reflex ◽  
Mass Lesion ◽  
Light Reflex ◽  
Pupillary Light ◽  
Mass Lesions ◽  
Basal Cisterns

Abstract Background: Although operative indications for traumatic brain injury (TBI) have been evaluated, neurosurgeons often face a dilemma of whether or not to remove the bone flap after mass lesion evacuation, and a useful predictive scoring model for which patients should be decompressive craniectomy (DC) has yet to be developed. The aim of this study was firstly to compare the outcomes of craniotomy and DC, and secondly to determine independent predictors and develop a multivariate logistic regression equation to determine whom should perform primary DC in TBI patients with mass lesions.Methods: A total of nine different variables were evaluated. All 245 patients with severe TBI in this study were retrospectively evaluated between June 2015 and May 2019 and all underwent decompressive craniectomy (DC) or craniotomy for mass lesion removal. The 6-month mortality and Extended Glasgow Outcome Scale (GOSE) were compared between DC and craniotomy. By using univariate, multiple logistic regression and prognostic regression scoring equations it was possible to draw Receiver Operating Characteristic curves (ROC) to predict the decision for DC.Results: The overall 6-month mortality in the entire cohort was 11.43% (28/245). DC patients had a lower mean preoperative Glasgow Coma Scale (GCS) (p = 0.01); more patients with GCS of 6 (p=0.007);more unresponsive pupillary light reflex (p< 0.001); more closed basal cisterns (p< 0.001); and more patients with diffuse injury (p=0.025) than craniotomy patients. Given the greater severity, patients undergoing primary DC had higher 6-month mortality than the remainder of the cohort. However, in the surviving patients, the favorable GOSE rate was similar in two groups. We found that pupillary light reflex and basal cisterns were independent predictors for DC decision. Using ROC curve to predict the probability of DC, the sensitivity was 81.6% and the specificity was 84.9%.Conclusion: Our preliminary findings showed that the primary DC may benefit subgroups of sTBI with mass lesions, and unresponsive pre-op pupil reaction, and closed basal cistern to predict the DC decision were useful. These sensitive variables can be used as a referential guideline in our daily practice to decide to perform or avoid primary DC.

scholarly journals Alcohol is not associated with increased mortality in adolescent traumatic brain injury patients

2021 ◽  
Author(s):  
Zachary N. Lu ◽  
Eric O. Yeates ◽  
Areg Grigorian ◽  
Russell G. Algeo ◽  
Catherine M. Kuza ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Logistic Regression ◽  
Brain Injury ◽  
Injury Severity ◽  
Penetrating Trauma ◽  
Multivariable Logistic Regression Analysis ◽  
Improvement Program ◽  
Risk Of Mortality ◽  
Severity Scores ◽  
Gcs Score

Abstract Purpose Compared to adults, there is a paucity of data regarding the association of a positive alcohol screen (PAS) and outcomes in adolescent patients with traumatic brain injury (TBI). We hypothesize adolescent TBI patients with a PAS on admission to have increased mortality compared to patients with a negative alcohol screen. Methods The 2017 Trauma Quality Improvement Program database was queried for patients aged 13–17 years presenting with a TBI and serum alcohol screen. Patients with missing information regarding midline shift on imaging and Glasgow Coma Scale (GCS) score were excluded. A multivariable logistic regression analysis for mortality was performed. Results From 2553 adolescent TBI patients with an alcohol screen, 220 (8.6%) had a PAS. Median injury severity scores and rates of penetrating trauma (all p > 0.05) were similar between alcohol positive and negative patients. Patients with a PAS had a similar mortality rate (13.2% vs. 12.1%, p = 0.64) compared to patients with a negative screen. Multivariate logistic regression controlling for risk factors associated with mortality revealed a PAS to confer a similar risk of mortality compared to alcohol negative patients (p = 0.40). Conclusion Adolescent TBI patients with a PAS had similar associated risk of mortality compared to patients with a negative alcohol screen.

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