Rotterdam CT Score Research Articles

Predicting Vasospasm and Early Mortality in Severe Traumatic Brain Injury: A Model Using Serum Cytokines, Neuronal Proteins, and Clinical Data.

Prediction of patient outcomes after severe traumatic brain injury (sTBI) is limited with current clinical tools. This study aimed to improve such prognostication by combining clinical data and serum inflammatory and neuronal proteins in patients with sTBI to develop predictive models for post-traumatic vasospasm (PTV) and mortality. Fifty-three adult civilian patients were prospectively enrolled in the sTBI arm of the Surgical Critical Care Initiative (SC2i). Clinical, serum inflammatory, and neuronal protein data were combined using the parsimonious machine learning methods of least absolute shrinkage and selection operator (LASSO) and classification and regression trees (CART) to construct parsimonious models for predicting development of PTV and mortality. Thirty-six (67.9%) patients developed vasospasm and 10 (18.9%) died. The mean age was 39.2 years; 22.6% were women. CART identified lower IL9, lower presentation pulse rate, and higher eotaxin as predictors of vasospasm development (full data area under curve (AUC) = 0.89, mean cross-validated AUC = 0.47). LASSO identified higher Rotterdam computed tomography score and lower age as risk factors for vasospasm development (full data AUC 0.94, sensitivity 0.86, and specificity 0.94; cross-validation AUC 0.87, sensitivity 0.79, and specificity 0.93). CART identified high levels of eotaxin as most predictive of mortality (AUC 0.74, cross-validation AUC 0.57). LASSO identified higher serum IL6, lower IL12, and higher glucose as predictive of mortality (full data AUC 0.9, sensitivity 1.0, and specificity 0.72; cross-validation AUC 0.8, sensitivity 0.85, and specificity 0.79). Inflammatory cytokine levels after sTBI may have predictive value that exceeds conventional clinical variables for certain outcomes. IL-9, pulse rate, and eotaxin as well as Rotterdam score and age predict development of PTV. Eotaxin, IL-6, IL-12, and glucose were predictive of mortality. These results warrant validation in a prospective cohort.

Contusion expansion, low platelet count andbifrontal contusions are associated with worse patient outcome following traumatic brain injury-a retrospective single-center study.

Cortical contusions are common in moderate-severe traumatic brain injury (TBI). Cortical contusions often expand, potentially causing neuro-worsening several hours to days post-trauma. While contusion expansion (CE) may affect outcome, potential clinical and radiological markers that can predict CE have been insufficiently explored. In the present single-center retrospective observational cohort study, we evaluated clinical outcome by the Glasgow Outcome Scale extended (GOSE) scale and evaluated risk factor for CE. Adult TBI patients > 18years of age, and of all injury severities, were included. Main variables of interest were low platelet count, defined as < 150 × 109/L, presence of bifrontal contusions and CE, defined as absolute contusion volume increase in cm3. Factors associated with CE and clinical outcome according to GOSE were analyzed. Between 2012-2022, 272 patients were included. Contusion size on admission correlated positively with CE, as did the Marshall and Rotterdam radiological classification scores. Bifrontal contusions were significantly larger at admission, experienced larger CE, and had a worse outcome than contusions in other locations. Patients with a platelet count < 150 × 109/L experienced a greater volume CE and had a worse outcome when compared to patients with a normal platelet count. In a multivariate analysis, CE remained significantly associated with a poor outcome six months post- injury. Contusion volume at admission, Marshall CT classification and Rotterdam CT score, positively correlated to CE. Bifrontal contusions and a platelet count < 150 × 109/L were associated with CE, and a poor clinical outcome. Large CE volumes were associated with a worse clinical outcome, and CE was per se associated with outcome in a multivariate analysis. Management of these risk factors for CE in the acute post-injury setting may be needed to attenuate contusion expansion and to improve clinical outcome in TBI patients suffering from cortical contusion injuries.

Clinical Significance of the Control CT Rotterdam Score Compared With the Admission CT Rotterdam Score in Patients With Isolated Severe Traumatic Brain Injury in the Intensive Care Unit.

The Rotterdam scale is one of the most commonly used radiological scales for evaluating and predicting outcomes in traumatic brain injury (TBI) cases. Given the evolving nature of TBI, our study is designed to compare the Rotterdam score of computed tomography (CT) findings upon admission (Rotterdam score I) with the score after 72 hours (Rotterdam score II) of treatment in the trauma intensive care unit (ICU). A retrospective observational study was conducted on 54 patients who received intensive care treatment for isolated severe TBI over five years. We included severe TBI patients with no age restrictions who required admission to the ICU within 12 hours of the onset of trauma. An initial Rotterdam CT score was obtained via a CT head scan within four hours of the trauma, followed by a control CT head scan 72 hours after ICU admission. It was essential to have documentation on the clinical and laboratory treatment course and access to radiological CT diagnostics. Receiver operating characteristic (ROC) curves were employed in this study to evaluate the accuracy of diagnostic tests, such as the Rotterdam score. The ROC curves provided a graphical representation of the tests' diagnostic performance, which helped assess their effectiveness. There was a significant difference (p < 0.001) in the diagnostic scores of CT scans upon admission (Rotterdam score I) and control CT scans after 72 hours (Rotterdam score II) in the total sample. The Rotterdam score I was notably higher, 3.6 (±0.8), in patients requiring neurosurgical intervention compared to those who did not, 2.8 (±0.9), with significance (p = 0.003). The Rotterdam score I demonstrated a substantial predictive value for unfavorable outcomes (p = 0.048), as did the Rotterdam score II after the 72-hour mark (p = 0.006). The control Rotterdam score 72 hours after admission predicts mortality in isolated TBI patients more significantly than the Rotterdam score determined at the patient's admission to the intensive care unit.

Characteristics of Post-traumatic Shunt-dependent Hydrocephalus After Decompressive Craniectomy: Are Computed Tomography Scoring Systems Predictors?

ObjectiveTraumatic brain injury (TBI) significantly contributes to morbidity rates. While computed tomography (CT) scoring systems have been recognized as predictive factors for TBI outcomes, their association with shunt dependency in patients undergoing decompressive craniectomy (DC) has not been investigated. This study aimed to evaluate the predictive utility of CT scoring systems concerning shunt-dependent hydrocephalus in patients post-DC for TBI. MethodsIn this retrospective study, we enrolled 162 patients who underwent DC and survived more than 7 days following TBI. The pre-DC CT scans were evaluated using the Marshall, Rotterdam, and Helsinki CT scoring systems. The primary event of interest was shunt-dependent hydrocephalus during the follow-up period, with unfavorable outcomes denoted by a Glasgow Outcome Scale score ranging from 1 to 3. ResultsAnalysis of the CT scans showed that the Rotterdam scores had a mean of 4.81 ± 0.91 for the group with shunt-dependent hydrocephalus and 4.41 ± 1.24 for the non-shunt-dependent hydrocephalus group (p = 0.033). However, multivariate logistic regression revealed no significant correlation between the Rotterdam CT score and shunt-dependent hydrocephalus, showing an odds ratio of 1.09 and a 95% confidence interval of 0.71 to 1.67 (p = 0.684). Notably, the Kaplan-Meier outcome curves highlighted a pronounced difference between groups based on shunt dependency (log-rank test: p = 0.012). ConclusionsThe CT scoring systems proved insufficient for predicting shunt-dependent hydrocephalus following DC for TBI. However, our observations underscore a significant correlation between post-traumatic shunt dependency after DC and an increased incidence of unfavorable outcomes during long-term follow-up.

The Relationship Between Blood Levels of Ubiquitin Carboxyterminal Hydrolase L1 (UCH-L1) Protein and the Severity of Traumatic Brain Injury Based on the Glasgow Coma Scale and Rotterdam CT Score

The Relationship Between Blood Levels of Ubiquitin Carboxyterminal Hydrolase L1 (UCH-L1) Protein and the Severity of Traumatic Brain Injury Based on the Glasgow Coma Scale and Rotterdam CT Score

Early GFAP and UCH-L1 point-of-care biomarker measurements for the prediction of traumatic brain injury and progression in patients with polytrauma and hemorrhagic shock.

Traumatic brain injury (TBI) and hemorrhage are responsible for the largest proportion of all trauma-related deaths. In polytrauma patients at risk of hemorrhage and TBI, the diagnosis, prognosis, and management of TBI remain poorly characterized. The authors sought to characterize the predictive capabilities of glial fibrillary acidic protein (GFAP) and ubiquitin C-terminal hydrolase L1 (UCH-L1) measurements in patients with hemorrhagic shock with and without concomitant TBI. The authors performed a secondary analysis on serial blood samples derived from a prospective observational cohort study that focused on comparing early whole-blood and component resuscitation. A convenience sample of patients was used in which samples were collected at three time points and the presence of TBI or no TBI via CT imaging was documented. GFAP and UCH-L1 measurements were performed on plasma samples using the i-STAT Alinity point-of-care platform. Using classification tree recursive partitioning, the authors determined the measurement cut points for each biomarker to maximize the abilities for predicting the diagnosis of TBI, Rotterdam CT imaging scores, and 6-month Glasgow Outcome Scale-Extended (GOSE) scores. Biomarker comparisons demonstrated that GFAP and UCH-L1 measurements were associated with the presence of TBI at all time points. Classification tree analyses demonstrated that a GFAP level > 286 pg/ml for the sample taken upon the patient's arrival had an area under the receiver operating characteristic curve of 0.77 for predicting the presence of TBI. The classification tree results demonstrated that a cut point of 3094 pg/ml for the arrival GFAP measurement was the most predictive for an elevated Rotterdam score on the initial and second CT scans and for TBI progression between scans. No significant associations between any of the most predictive cut points for UCH-L1 and Rotterdam CT scores or TBI progression were found. The predictive capabilities of UCH-L1 were limited by the range allowed by the point-of-care platform. Arrival GFAP cut points remained strong independent predictors after controlling for all potential polytrauma confounders, including injury characteristics, shock severity, and resuscitation. Early measurements of GFAP and UCH-L1 on a point-of-care device are significantly associated with CT-diagnosed TBI in patients with polytrauma and shock. Early elevated GFAP measurements are associated with worse head CT scan Rotterdam scores, TBI progression, and worse GOSE scores, and these associations are independent of other injury attributes, shock severity, and early resuscitation characteristics.

Higher Discharge GCS Score is Associated with Both Survival and Long-term Functional Recovery in Patients with Clinically Defined Diffuse Axonal Injury

Abstract Background: Diffuse axonal injury (DAI) refers to widespread axonal damage due to traumatic brain injury. There are very few studies that have specifically looked at outcomes in patients with DAI, where the injury is not associated with accompanying focal lesions (such as haematomas and other mass lesions) or ischaemic brain injury. In this study, we assessed factors that predict mortality and long-term functional outcome of patients with DAI who underwent treatment and rehabilitation in a tertiary care hospital in South India. Methodology: Long-term outcome and neuropsychiatric sequelae were assessed in 160 patients with DAI, who underwent rehabilitation and were on regular follow-up for a median duration of 5 years (interquartile range = 3–6). Cox proportional hazards and logistic regression models were used to determine factors associated with mortality and functional outcome (Glasgow Outcome Scale-Extended [GOSE], Mayo-Portland Adaptability Inventory [MPAI] and Neuropsychiatric Inventory [NPI]). Results: Majority of the 160 patients included in this study were young males (92%) who presented with severe head injury (Glasgow Coma Scale [GCS] score of 5.6 ± 2.1). At the time of follow-up, 94 (58.75%) patients were alive, while 66 (41.25%) were dead. Patients who were alive at the time of follow-up were significantly younger, had higher GCS score and lower Rotterdam computed tomography (CT) grade at presentation compared to those who died. Compromised airway requiring tracheostomy (χ 2 = 21.3; P &lt; 0.001) and abnormal pupil reactivity (χ2 = 30.2, P &lt; 0.001) were significantly associated with mortality. GCS score at discharge was the single most important determinant of mortality (hazard ratio = 0.802, P &lt; 0.001). Among those who were alive, majority (73.4%) had good functional recovery (GOSE score 8). GCS scores (at admission and that at discharge) and Rotterdam CT score independently and significantly predicted MPAI, NPI and caregiver distress scores. Among them, GCS score at discharge was the strongest predictor. In-hospital improvement in GCS correlated with GOSE but not with MPAI and NPI. Conclusion: Higher GCS scores at discharge were strongly associated with both survival and functional recovery in patients with DAI.

Cisternostomy is not beneficial to reduce the occurrence of post-traumatic hydrocephalus in Traumatic Brain Injury.

The Cisternostomy is a novel surgical concept in the treatment of Traumatic Brain Injury (TBI), which can effectively drain the bloody cerebrospinal fluid from the skull base cistern, reduce the intracranial pressure, and improve the return of bone flap, but its preventive role in post-traumatic hydrocephalus (PTH) is unknow. The purpose of this paper is to investigate whether Cisternostomy prevents the occurrence of PTH in patients with moderate and severe TBI. A retrospective analysis of clinical data of 86 patients with moderate and severe TBI from May 2019 to October 2021 was carried out in the Brain Trauma Center of Tianjin Huanhu Hospital. Univariate analysis was performed to examine the gender, age, preoperative Glasgow Coma Scale (GCS) score, preoperative Rotterdam CT score, decompressive craniectomy rate, intracranial infection rate, the incidence of subdural fluid, and incidence of hydrocephalus in patients between the Cisternostomy group and the non-Cisternostomy surgery group. we also analyzed the clinical outcome indicators like GCS at discharge,6month GOS-E and GOS-E ≥ 5 in two groups.Additionaly, the preoperative GCS score, decompressive craniectomy rate, age, and gender of patients with PTH and non hydrocephalus were compared. Further multifactorial logistic binary regression was performed to explore the risk factors for PTH. Finally, we conducted ROC curve analysis on the statistically significant results from the univariate regression analysis to predict the ability of each risk factor to cause PTH. The Cisternostomy group had a lower bone flap removal rate(48.39% and 72.73%, p = 0.024)., higer GCS at discharge(11.13 ± 2.42 and 8.93 ± 3.31,p = 0.000) and better 6month GOS-E(4.55 ± 1.26 and 3.95 ± 1.18, p = 0.029)than the non-Cisternostomy group However, there was no statistical difference in the incidence of hydrocephalus between the two groups (25.81% and 30.91%, p = 0.617). Moreover, between the hydrocephalus group and no hydrocephalus group,there were no significant differences in the incidence of gender, age, intracranial infection, and subdural fluid. While there were statistical differences in peroperative GCS score, Rotterdam CT score, decompressive craniectomy rate, intracranial infection rate, and the incidence of subdural fluid in the two groups, there was no statistical difference in the percentage of cerebral cisterns open drainage between the hydrocephalus group and no hydrocephalus group (32.00% and 37.70%, p = 0.617). Multifactorial logistic binary regression analysis results revealed that the independent risk factors for PTH were intracranial infection (OR = 18.460, 95% CI: 1.864-182.847 p = 0.013) and subdural effusion (OR = 10.557, 95% CI: 2.425-35.275 p = 0.001). Further, The ROC curve analysis showed that peroperative GCS score, Rotterdam CT score and subdural effusion had good ACU(0.785,0.730,and 0.749), with high sensitivity and specificity to predict the occurrence of PTH. Cisternostomy may decrease morbidities associated with removal of the bone flap and improve the clinical outcome, despite it cannot reduce the disability rate in TBI patients.Intracranial infection and subdural fluid were found to be the independent risk factors for PTH in patients with TBI,and the peroperative GCS score, Rotterdam CT score and subdural effusion had higher sensitivity and specificity to predict the occurrence of PTH. And more importantly, no correlation was observed between open drainage of the cerebral cisterns and the occurrence of PTH, indicating that Cisternostomy may not be beneficial in preventing the occurrence of PTH in patients with moderate and severe TBI.

Prospective Outpatient Follow-Up of Early Cognitive Impairment in Patients with Mild Traumatic Brain Injury and Intracranial Hemorrhage.

Mild traumatic brain injury (mTBI) encompasses a spectrum of disability including early cognitive impairment (ECI). The Brain Injury Guidelines suggest that patients with mTBI can be safely discharged from the emergency department. Although half of patients with mTBI with intracranial hemorrhage (ICH) have evidence of ECI, it is unclear what percentage of these patients' ECI persists after discharge. We hypothesize a significant proportion of trauma patients with mTBI and ECI at presentation have persistent ECI at 30-day follow-up. A single-center prospective cohort study including adult trauma patients with ICH or skull fracture and a Glasgow Coma Scale of 13 to 15 on arrival was performed. Participants were screened for ECI using the Rancho Los Amigos Scale (RLA), and ECI was defined as an RLA less than 8. We compared ECI and non-ECI groups for demographics, injury profile, CT imaging (eg Rotterdam CT score) and outcomes with bivariate analysis. Thirty-day follow-up telephone calls were performed to re-evaluate RLA for persistent ECI and concussion symptoms. From 62 patients with ICH or skull fracture and mTBI, 21 (33.9%) had ECI. Patients with ECI had a higher incidence of subarachnoid hemorrhage (85.7% vs 46.3%, p = 0.003) and higher Rotterdam CT score (p = 0.004) compared with those without ECI. On 30-day follow-up, 6 of 21 (26.6%) patients had persistent ECI. In addition, 7 (33.3%) patients had continued concussion symptoms. More than one-third of mTBI patients with ICH had ECI. At 30-day postdischarge follow-up, more than one-fourth of these patients had persistent ECI and 33% had concussion symptoms. This highlights the importance of identifying ECI before discharge as a significant portion may have ongoing difficulties reintegrating into work and society.

Correlation of Glasgow Coma Scale with Head Computed Tomographic Findings in Patients with Traumatic Brain Injury in a Tertiary Hospital in Nnewi

Background: Traumatic brain injury is an injury that causes anatomical or functional damage to the cranium, meninges and the brain. It is a major health challenge that causes increased mortality among trauma patients. This creates the serious need to find ways of elucidating the seriousness and prognostic possibility of every head injury patients. This study will help classify the patients in such a way as to affect management and also predict outcome early in the treatment of patients with traumatic head injury. Aim of the Study: Aim of this study is to correlate the clinical assessment of head injury patients with Glasgow Coma Scale (GCS) and CT findings as classified with Rotterdam scoring system. Subjects and Methods: This prospective study of 170 patients with head injury presenting for CT scan, was carried out from October, 2017 to September, 2019, in the Radiology department of the Nnamdi Azikiwe University Teaching Hospital (NAUTH), Nnewi. All stable patients that were referred for head CT within this period were included in the study. Prior to the commencement of the study, informed consent, relevant clinical history and necessary physical examination are usually carried out on the patient or obtained from the care giver to ascertain the level of consciousness by Glasgow coma scale. The GCS grading used was as follows; a score of 3 - 8 (severe head injury), 9 - 12 (moderate head injury) and 13 - 15 (mild head injury). Patients were scanned using a 4 slice/gantry rotation capacity CT (General Electric (GE), HANGWEI MEDICAL SYSTEMS CO. LTD. Data obtained from the study pro-forma and the cranial CT findings of subjects, was entered and analysed using IBM SPSS (Statistical Package for Social Sciences), version 20.0. Armonk, NY, U.S.A, 2011. Results: A total of 170 patients were involved in the study which showed a high prevalence of traumatic head injury. More males were involved than females and the predominant age in the study is 21-30. There was a significant correlation between the GCS and the Rotterdam scoring system. Discussion: The findings that more males and the younger age group are more involved and that the Rotterdam scores are good indicators of the outcome are similar to the findings in other studies. Conclusion: This study showed that Rotterdam CT score system is a good prognostic tool in patients with traumatic brain injury.

Predicting Hematoma Expansion and Prognosis in Cerebral Contusions: A Radiomics-Clinical Approach.

Hemorrhagic progression of contusion (HPC) often occurs early in cerebral contusions (CC) patients, significantly impacting their prognosis. It is vital to promptly assess HPC and predict outcomes for effective tailored interventions, thereby enhancing prognosis in CC patients. We utilized the Attention-3DUNet neural network to semi-automatically segment hematomas from computed tomography (CT) images of 452 CC patients, incorporating 695 hematomas. Subsequently, 1502 radiomic features were extracted from 358 hematomas in 261 patients. After a selection process, these features were used to calculate the radiomic signature (Radscore). The Radscore, along with clinical features such as medical history, physical examinations, laboratory results, and radiological findings, was employed to develop predictive models. For prognosis (discharge Glasgow Outcome Scale score), radiomic features of each hematoma were augmented and fused for correlation. We employed various machine learning methodologies to create both a combined model, integrating radiomics and clinical features, and a clinical-only model. Nomograms based on logistic regression were constructed to visually represent the predictive procedure, and external validation was performed on 170 patients from three additional centers. The results showed that for HPC, the combined model, incorporating hemoglobin levels, Rotterdam CT score of 3, multi-hematoma fuzzy sign, concurrent subdural hemorrhage, international normalized ratio, and Radscore, achieved area under the receiver operating characteristic curve (AUC) values of 0.848 and 0.836 in the test and external validation cohorts, respectively. The clinical model predicting prognosis, utilizing age, Abbreviated Injury Scale for the head, Glasgow Coma Scale Motor component, Glasgow Coma Scale Verbal component, albumin, and Radscore, attained AUC values of 0.846 and 0.803 in the test and external validation cohorts, respectively. Selected radiomic features indicated that irregularly shaped and highly heterogeneous hematomas increased the likelihood of HPC, while larger weighted axial lengths and lower densities of hematomas were associated with a higher risk of poor prognosis. Predictive models that combine radiomic and clinical features exhibit robust performance in forecasting HPC and the risk of poor prognosis in CC patients. Radiomic features complement clinical features in predicting HPC, although their ability to enhance the predictive accuracy of the clinical model for adverse prognosis is limited.

Compare the GCS and the Rotterdam CT Score in Predicting the Mortality and Disability of Patients with Traumatic Brain Injury.

Given the dearth of extensive research comparing the Glasgow Coma Scale with the Rotterdam scoring system for predicting mortality in trauma patients, this study was conducted to determine which scale provides a more realistic prediction of mortality in trauma patients after three months. This observational study was performed at Kashani Hospital in Isfahan, Iran. Patients with TBI who were admitted between February 2022 and February 2023 were included in the study. Approval from the Ethical Committee of Isfahan University of Medical Sciences was obtained prior to conducting this study. We included 152 adult patients who completed the GOS-E and the QOLIBRI-OS three-month post-injury. The median age was 35 years (IQR = 17-70). Most patients 139 (91.4%) were classified as having a severe TBI. The results of the present study showed that both the use of GCS and Rotterdam CT scores can be effective in predicting the three-month mortality and QOLIBRI-OS scores of patients, with the difference that the predictive power of the three-month Rotterdam CT score is greater than that of the GCS.

Correlation between Serum S100β Protein Levels and Severity of Traumatic Brain Injury as measured by the FOUR Score and Rotterdam CT Score

Correlation between Serum S100β Protein Levels and Severity of Traumatic Brain Injury as measured by the FOUR Score and Rotterdam CT Score

Predictive value of optical nerve sheath diameter to Eyeball Transverse Diameter ratio on mortality of head trauma.

Optic nerve sheath diameter (ONSD) and Eyeball Transverse Diameter (ETD) can be measured to determine cranial pressure due to intracranial injury. The study aimed to measure the diagnostic potential of ONSD and ETD to predict mortality in head traumas. This cross-sectional study included 483 patients who applied to the emergency department with head trauma and analyzed characteristics, Rotterdam Computed Tomography Score (RCTS), Glasgow Coma Score (GCS), ETD, and ONSD. ONSD was calculated from 3 mm proximal to the optic disc in the section by tomography and manually divided to ETD to generate ONSD/ETD (Index). GCS, RCTS, ONSD (right: R; left: L), and Index (right: R; left: L) indicated a significant difference between mortal and non-mortal trauma (p < 0.001). In ROC analysis of the mortality prediction for the ONSD-R, the sensitivity and the specificity were 83.3% and 57.1% (p = 0.001), while those were 91.7% and 68.2% for ONSD-L (p = 0.0001). In Index-R, the sensitivity and specificity were 74% and 84.5% (p = 0.0001), while those were 75.2% and 85% for Index-L (p = 0.0001). The index, which can be measured easily by the proportion of ONSD and ETD at admissions to Emergency Departments by CT, can provide crucial information to physicians in predicting the mortality of patients with head trauma.

Correlation Between Optic Nerve Sheath Diameter at Initial Head CT and the Rotterdam CT Score.

Introduction Intracranial findings on imaging have long been used in assessing the severity of traumatic brain injury (TBI); the Rotterdam CT scoring (RCTS) is a more recent tool. Estimating the optic nerve sheath diameter (ONSD) at computed tomography (CT) can be another valuable predictor of the severity of the injury, especially as both ONSD and the RCTS are proven to be independent predictors of raised intracranial pressure (ICP).The study objective was to determine the correlation between ONSD at initial head CT and RCTS. Material and methods We observed 40 consecutive confirmed TBI cases at their initial head CT examinations in the emergency department for ONSD and the presence of other intracranial findings necessary to derive RCTS. The data were prospectively collected and analyzed, with statistical significance set at p ≤0.05 at 95% CI. Results The mean ONSD positively correlated with the Rotterdam CT score (r=0.368, p=0.019). A cut-off value of 6.83 mm was extrapolated from the receiver operator characteristic (ROC) curve as the mean binocular ONSD that best predicted severe RCTS (≥4) (sensitivity: 73.3%, specificity: 80%, positive predictive value: 68.7%, negative predictive value: 83.3%). The area under the curve (AUC) was 0.780 (p=0.003). Binary logistic regression analysis revealed an odd ratio (OR) of 11.000(95% CI: 2.438-49.627; p=0.002). Conclusion TBI patients with high RCTS have wide mean binocular ONSD. Those with average binocular ONSD above the cut-off value are likelier to have severe TBI. With the documented good correlation, ONSDmay become very useful in informing the clinical decision for sequential CT scans in TBI patients and, therefore, reducing the cumulative radiation burden from needless exposures. Furthermore, the non-invasive nature of its assessment will have more clinical relevance in resource-limited settings, where the skills and equipment for ICP monitoring are either not readily available or too expensive to be used routinely.

Prediction of In-Hospital Mortality in Patients With Traumatic Brain Injury Using the Rotterdam and Marshall CT Scores: A Retrospective Study From Western India.

Objective Head trauma of any severity, including concussions and skull fractures, can cause a traumatic brain injury (TBI). Prognostication plays a vital role in the scenario of urgency put forth by TBI. The application of CT-based scoring systems developed by the Rotterdam CT score and Marshall classification system appears to be appropriate for the early and precise prediction of clinical outcomes in TBI patients. The present study was designed to determine the predictive value of the Rotterdam CT score and Marshall classification system for in-hospital mortality in patients with TBI. Methods All adult patients (≥ 18 years) with acute traumatic brain injury presented over a period from February 2019 to November 2022 were included. Only those patients who had undergone a plain CT scan of the brain during the initial presentation at the emergency department (ED) were considered. Patients who presented with penetrating brain injury as well as those who died on arrival or who died prior to the initial CT scan of the brain were excluded. A total of 127 patients were included in the final data analysis. Based on initial CT-scan findings, the Rotterdam CT scoreand Marshall classification system were calculated in order to predict in-hospital mortality. Results The study was dominated by male patients (85.8%) as compared to female patients (14.2%). The overall mortality rate was 32.3% (n = 41). The mortality rate among males and females was 30.3% (33/109) and 44.4% (8/18), respectively. As per the Glasgow Coma Scale (GCS) classification, the severity of the injury was mild in 12.6% of the study subjects, moderate in 22%, and severe in 65.4%. The mortality rate among the patients with mild severity was 12.5% (2/16), while it was 28.6% in moderate (8/28) and 37.3% (31/83) in the severe category group. The best cut-off point of the Rotterdam score for predicting mortality was >4 (as per the Youden Index), which had a sensitivity and specificity of 60.98% and 90.70%, respectively, while the cut-off point of the Marshall CT classificationfor predicting mortality was >3 (as per the Youden Index), which had a sensitivity of 82.93% and a specificity of 75.58%. There was only a minor difference in the area under the curve (AUC) value of the receiver operating characteristic curve (ROC) curve between the Rotterdam CT score (0.827) and the Marshall classification system (0.833). Conclusion The Rotterdam and Marshall CT scores have demonstrated significant independent prognostic value and may serve as a useful initial evaluation tool for risk stratification of in-hospital mortality among patients with TBI.

Diffuse Axonal Injury Pattern Predicts Timing of In-Hospital Neurologic Recovery: A Retrospective Case Series

Diffuse axonal injury (DAI) is a devastating traumatic neurological injury with variable prognosis. Although outcomes such as mortality have been described, the time course of neurological progression is poorly understood. We investigated the association between DAI neuroanatomical injury pattern and neurological recovery timing. A retrospective review of our institution's trauma registry identified patients diagnosed with DAI from 2017-2021. Neuroradiologist review of head CT was used to score DAI severity. In-hospital neurological exams were reviewed, and GCS was calculated for all patients throughout the hospital stay. Categorical variables were analyzed using Fisher's exact test and continuous variables were analyzed using Kruskal-Wallis test. Nineteen DAI patients (Grade 1=8; Grade 2=1; Grade 3=10) were included (mean age 31 years, 79% male). Mean Rotterdam CT score, Injury Severity Scale, and admission GCS were comparable across DAI grades. Mean time in days to follow commands was shorter for those with Grade 1 DAI (9.3) compared to Grade 2 (17 days) or Grade 3 (19 days) DAI (p=0.02). Throughout hospitalization, patients with Grade 1 DAI had higher motor (p=0.006), eye (p=0.001), and total GCS (p=0.011) score compared to those with Grade 2 or 3 DAI. At the time of discharge, total GCS and the frequency of command following was similar across DAI grades. Patients with Grade 1 DAI demonstrated the fastest short-term neurological recovery, although final discharge neurological examination was comparable across DAI grades. DAI classification can provide useful short-term prognostic information regarding in-hospital neurological improvement.

Correlation between optic nerve sheath diameter and Rotterdam computed tomography scoring in traumatic brain injury

Background: In India and other developing nations, traumatic brain injuries (TBIs) are main cause of disability, socioeconomic loss, morbidity, and mortality. In patients with TBI, Rotterdam CT score (RCTS) and diameter of optic nerve sheath (ONSD) have both been reliable independent predictors of prognosis. ONSD measurement has become a substitute non-invasive technique for keeping track of intracranial pressure (ICP). Aims and Objectives: The aims of this study were to study correlation between ONSD and RCTS in predicting outcome and prognosis in patients with traumatic brain injury. Materials and Methods: Total 90 patients with TBI were included in study. All patients meeting inclusion criteria were included and CT scan was performed. RTCS was done based, on which patients were divided into two groups (mild and severe head injury). According to standard protocol, ONSD was measured. Results: Among 90 cases included that most common cause of injury was motor vehicle accident (72.2%). Mean ONSD in the present study was 4.37±0.84 mm. About 57 (63.3%) patients had RCTS score of 1, 2, and 3 (mild head injury) and 33 (36.7%) had RCTS score of 4, 5, and 6 (severe head injury). Cutoff value of ONSD for predicting severity of TBI derived from receiver operating characteristic curve was &gt;4.4 mm. There is a positive correlation between ONSD and RCTS. Conclusion: CT ONSD is a useful radiological tool to identify elevated ICP and it should be noted in every CT report in TBI cases.

Comparison of the predictive value of the Helsinki, Rotterdam, and Stockholm CT scores in predicting 6-month outcomes in patients with blunt traumatic brain injuries

PurposeDespite advances in modern medicine, traumatic brain injuries (TBIs) are still a major medical problem. Early diagnosis of TBI is crucial for clinical decision-making and prognosis. This study aims to compare the predictive value of Helsinki, Rotterdam, and Stockholm CT scores in predicting the 6-month outcomes in blunt TBI patients. MethodsThis cohort study was conducted on blunt TBI patients of 15 years or older. All of them were admitted to the surgical emergency department of Shahid Beheshti Hospital in Kashan, Iran from 2020 to 2021 and had abnormal trauma-related findings on brain CT images. The patients’ demographic data such as age, gender, history of comorbid conditions, mechanism of trauma, Glasgow coma scale, CT images, length of hospital stay, and surgical procedures were recorded. The Helsinki, Rotterdam, and Stockholm CT scores were simultaneously determined according to the existing guidelines. The included patients' 6-month outcome was determined using the Glasgow outcome scale extended. M Data were analyzed by SPSS software version 16.0. Sensitivity, specificity, negative/positive predictive value and the area under the receiver operating characteristic curve were calculated for each test. The Kappa agreement coefficient and Kuder Richardson-20 were used to compare the scoring systems. ResultsAltogether 171 TBI patients met the inclusion and exclusion criteria, with the mean age of (44.9 ± 20.2) years. Most patients were male (80.7%), had traffic related injuries (83.1%) and mild TBIs (64.3%). Patients with lower Glasgow coma scale had higher Helsinki, Rotterdam, and Stockholm CT scores and lower Glasgow outcome scale extended scores. Among all the scoring systems, the Helsinki and Stockholm scores showed the highest agreement in predicting patients’ outcomes (kappa = 0.657, p < 0.001). The Rotterdam scoring system had the highest sensitivity (90.1%) in predicting death of TBI patients, whereas the Helsinki scoring system had the highest sensitivity (89.8%) in predicting the 6-month outcome in TBI patients. ConclusionThe Rotterdam scoring system was superior in predicting death in TBI patients, whereas the Helsinki scoring system was more sensitive in predicting the 6-month outcome.

Neurologic Outcomes for Octogenarians Undergoing Emergent Surgery for Traumatic Acute Subdural Hematoma

Determining the appropriate surgical indications for obtunded octogenarians with traumatic acute subdural hematoma (aSDH) has been challenging. We sought to determine which easily available data would be useful adjuncts to assist in early and quick decision-making. We performed a single-center, retrospective review of patients aged ≥80 years with confirmed traumatic aSDH who had undergone emergent surgery. The clinical measurements included the Karnofsky performance scale score, Charlson comorbidity index, Glasgow coma scale (GCS), and abbreviated injury score. The radiographic measurements included the Rotterdam computed tomography score, aSDH thickness, midline shift, and optic nerve sheath diameter (ONSD). The neurologic outcomes were defined using the extended Glasgow outcome scale-extended (GOS-E) at hospital discharge and 3-month follow-up. The Pearson correlation coefficient was used to compare the ONSD with all clinical, radiographic, and outcome variables. Multivariate logistic regression was used to assess the relationship between the discharge and 3-month GOS-E scores between all clinical and radiographic variables. A total of 17 patients met the inclusion criteria. The mean age was 82.5 ± 1.6 years (range, 80-85 years), and the mean GCS score was 11.2 ± 4.1 (range, 4-15). The mean discharge and 3-month GOS-E scores were 3.4 ± 2.6 (range, 1-8) and 2.3 ± 2.1 (range, 1-7), respectively. We found significant negative correlations between the ONSD and the GCS score (r=-0.62; P < 0.01) and the ONSD and discharge GOS-E score (r=-0.49; P= 0.05). Multivariate analysis revealed a significant association between the abbreviated injury score and the discharge GOS-E score (P= 0.05). Octogenarians sustaining aSDH and requiring emergent surgery have poor outcomes. More data are needed to determine whether the ONSD can be a useful adjunct tool to predict the efficacy of emergent surgery.