Understanding multidimensional apathy in traumatic brain injury.

Apathy Is Not Depression in Huntington's Disease

Factors Associated With High and Low Life Satisfaction 10 Years After Traumatic Brain Injury

Variables were studied which predict at the acute stage the functional and occupational long term outcome for patients with traumatic brain injury (TBI). Glasgow Coma Scale (GCS) score on hospital admission, length of coma (LOC) and duration of post traumatic amnesia (PTA) were studied in a group of 508 TBI rehabilitation patients, age 0·8-71, mean age 19, followed up between five and over 20 years, mean of 12 years. Information from hospital charts and all data available before and after the injury were gathered and reviewed. The study was carried out among a consecutive sample of Finnish patients with TBI referred to a rehabilitation programme at the out patient neurological clinic of Kauniala Hospital, which specializes in brain injuries in Finland. The patients came from various hospital districts in the country for an evaluation of their educational and vocational problems. Main outcome measures were functional outcome, as measured by the Glasgow Outcome Scale GOS at the end of follow up, and post injury occupational outcome. The patients reemployment on the open job marklet, subsidized employment or inability to work was noted. The GCS score on hospital admission correlated clearly with the functional outcome of the patients at the end of follow up. Length of coma and duration of post traumatic amnesia correlated specifically with the patient s work history after the brain injury and with functional outcome measured by the GOS. Outcomes varied among age groups and seemed to be affected by age at injury. Accordingly, the extent of recovery and quality of life for rehabilitation patients with TBI can be estimated early on by prognostic factors reflecting injury severity in the acute phase. The results suggest that the GCS score, LOC and duration of PTA all have a strong predictive value in assessing functional or occupational outcome for TBI patients.

Associations Between Post-traumatic Seizures, Antiseizure Medication, and Duration of Post-traumatic Amnesia: A Retrospective Cohort Analysis.

Radiologic predictors of posttraumatic amnesia (PTA) duration are lacking. We hypothesized that the number and distribution of traumatic microbleeds (TMBs) detected by gradient recalled echo (GRE) magnetic resonance imaging (MRI) predicts PTA duration. Academic, tertiary medical center. Adults with traumatic brain injury (TBI). We identified 65 TBI patients with acute GRE MRI. PTA duration was determined with the Galveston Orientation and Amnesia Test, Orientation Log, or chart review. TMBs were identified within memory regions (hippocampus, corpus callosum, fornix, thalamus, and temporal lobe) and control regions (internal capsule and global). Regression tree analysis was performed to identify radiologic predictors of PTA duration, controlling for clinical PTA predictors. TMB distribution, PTA duration. Sixteen patients (25%) had complicated mild, 4 (6%) had moderate, and 45 (69%) had severe TBI. Median PTA duration was 43 days (range, 0-240 days). In univariate analysis, PTA duration correlated with TMBs in the corpus callosum (R = 0.29, P = .02) and admission Glasgow Coma Scale (GCS) score (R = -0.34, P = .01). In multivariate regression analysis, admission GCS score was the only significant contributor to PTA duration. However, in regression tree analysis, hippocampal TMBs, callosal TMBs, age, and admission GCS score explained 26% of PTA duration variance and distinguished a subgroup with prolonged PTA. Hippocampal and callosal TMBs are potential radiologic predictors of PTA duration.

Introduction: Traumatic Brain Injury (TBI) is one of the leading causes of mortality and severe disability worldwide. This study aimed to develop and optimize machine learning (ML) algorithms to predict abnormal brain computed tomography (CT) scans in patients with mild TBI.Methods:In this retrospective analyses, the outcome was dichotomized into normal or abnormal CT scans, and univariate analyses were employed for feature selection. Then SMOTE was applied to address class imbalance. The dataset was split 80:20 for training/testing, and multiple ML algorithms were evaluated using accuracy, F1-score, and area under the receiver operating characteristic curve (AUC-ROC). SHAP analysis was used to interpret feature contributions. Results:The data included 424 patients with an average age of 40.3 ± 19.1 years (76.65% male). Abnormal brain CT scan findings were more common in older males, patients with lower Glasgow Coma Scale (GCS) scores, suspected fractures, hematomas, and visible injuries above the clavicle. Among the ML models, XGBoost performed best (AUC 0.9611, accuracy 0.8937), followed by Random Forest, while Naive Bayes showed high recall but poor specificity. SHAP analysis highlighted that lower GCS scores, decreased SpO2 levels, and tachypnea were strong predictors of abnormal brain CT findings.Conclusion:XGBoost and Random Forest achieved high predictive accuracy, sensitivity, and specificity. GCS, SpO2, and respiratory rate were key predictors. These models may reduce unnecessary CT scans and optimize resource use. Further multicenter validation is needed to confirm their clinical utility.

Application of Second-Order Growth Mixture Modeling to Longitudinal Traumatic Brain Injury Outcome Research: 15-Year Trajectories of Life Satisfaction in Adolescents and Young Adults as an Example

Posttraumatic Stress Disorder Symptoms During the First Six Months After Traumatic Brain Injury

Background: Older adults who sustain a traumatic brain injury (TBI) have been shown to have reduced functional independence and life satisfaction relative to younger individuals with TBI. The purpose of this study was to examine the covarying patterns of functional independence and life satisfaction over the 10 years after TBI in adults who were 60 years of age or older upon injury. Method: Participants were 1841 individuals aged 60 or older at the time of TBI, were enrolled in the longitudinal TBI Model Systems database, and had Functional Independence Measure and Satisfaction with Life Scale scores during at least one time point at 1, 2, 5, and 10 years after TBI. Results: A k-means cluster analysis identified four distinct group-based longitudinal patterns of these two variables. Three cluster groups suggested that functional independence and life satisfaction generally traveled together over time, with one group showing relatively high functional independence and life satisfaction over time (Cluster 2), one group showing relatively moderate functional independence and life satisfaction (Cluster 4), and one group showing relatively low functional independence and life satisfaction (Cluster 1). Cluster 3 had relatively high functional independence over time but, nonetheless, relatively low life satisfaction; they were also the youngest group upon injury. Participants in Cluster 2 generally had the highest number of weeks of paid competitive employment but lower percentages of underrepresented racial/ethnic minority participants, particularly Black and Hispanic individuals. Women were more likely to be in the cluster with the lowest life satisfaction and functional independence (Cluster 1). Conclusion: Functional independence and life satisfaction generally accompany one another over time in older adults, although this does not always occur, as life satisfaction can still be low in a subgroup of older individuals after TBI with higher functioning. These findings contribute to a better understanding of post-TBI recovery patterns in older adults over time that may inform treatment considerations to improve age-related discrepancies in rehabilitation outcomes.

Factor Analysis of the Rivermead Post-Concussion Symptoms Questionnaire in Mild-to-Moderate Traumatic Brain Injury Patients

The current prognostic models for mortality and functional outcome after intracerebral hemorrhage (ICH) are not simple enough. To predict the outcome of ICH, a new simple model, ICH index (ICHI), was established and evaluated in this study. Medical records of all cases with ICH in our hospital from January 2008 to August 2009 were reviewed. Multiple linear regression analyses were used to assess the contributions of independent variables to hospital mortality after ICH. Age, serum glucose, white blood cell counts (WBC), and Glasgow Coma Scale (GCS) score were found to be greatly associated with mortality. A formula of ICH index [ICHI = age (years)/10 + glucose (mmol/L) + WBC (10(9) /L) - GCS score] was established. Furthermore, the receiver operating characteristic (ROC) analyses were performed to estimate the predictive value of the ICHI. The model showed an area under the ROC curve (AURC) of 0.923 (95% CI: 0.883-0.963, P < 0.001). The best cut-off value of ICHI for mortality was 18, which gave sensitivity, specificity, and Youden's index of 0.65, 0.95, and 0.60, respectively. The hospital mortality was extremely increased when 18 < ICHI < 28 (mortality 72.0%) and when ICHI ≥ 28 (mortality 100%), in contrast with overall mortality (21.6%). The ICHI can be a simple predictive model and complementary to other prognostic models.

Background Acquired brain injury (ABI) is caused by trauma or nontrauma to the brain after birth. Increased intracranial pressure in patients with traumatic or nontraumatic brain injury affects the cerebral perfusion pressure. After traumatic brain injury, there is an increase in air content in the brain and an increase in volume of blood flow to the brain, which can cause increased intracranial pressure, herniation of brain tissue, impaired cerebral perfusion, and brain damage. Most patients with traumatic brain injury die from uncontrolled increases in intracranial pressure. Near-infrared spectroscopy (NIRS) and central venous pressure (CVP) monitoring are also associated with cerebral perfusion. This study aimed to determine the relationship between the Glasgow Coma Scale (GCS) scores and CVP and NIRS values in patients with ABI. Methods This prospective analytical study used a cross-sectional design to compare GCS scores with CVP and NIRS values in patients with traumatic and nontraumatic brain injury in the intensive care unit (ICU) of Haji Adam Malik Hospital Medan. GCS, CVP, and NIRS descriptive data in patients with brain injury were presented in terms of mean and standard deviation if the data were normally distributed, or median (interquartile range) values if the data were not normally distributed. The relationship between GCS scores and CVP and NIRS values was assessed using the Pearson correlation test if the data were normally distributed, or the Spearman test if the data were not normally distributed. Results In this study, the mean GCS score and CVP values were 7.04 ± 2.69 and 5.63 ± 25.82 mmHg, respectively. The right tissue oxygen saturation (StO2) was 55.61% ± 18.72%, and the left StO2 was 57.57% ± 17.48% with normally distributed data. There was no correlation between GCS scores and CVP values (P = 0.829), and no correlation between moderate GCS scores and right and left StO2 (P = 0.343; P = 0.121); however, there was a significantly strong positive correlation between severe GCS scores and right and left StO2 (P = 0.028, r = 0.656; P = 0.005, r = 0.777). Conclusion There was no significant correlation between GCS scores and CVP values, and no correlation between moderate GCS scores and NIRS values; however, there was a significantly strong positive correlation between severe GCS scores and NIRS values in patients with ABI at the ICU of Haji Adam Malik Hospital Medan.

Objective: It is a common clinical perception that alcohol intoxication systematically lowers Glasgow Coma Scale (GCS) scores when evaluating traumatic brain injury (TBI). However, the research findings in this area do not uniformly support this notion. The purpose of this study is to examine the effects of blood alcohol level (BAL) on GCS scores following TBI.Method: Participants were 475 patients (64% male) who presented to a Level 1 trauma centre following a TBI. Patients were selected if they were injured in a motor vehicle accident and had an available day-of-injury GCS, BAL and Computed Tomography (CT) brain scan.Results: Overall, acute alcohol intoxication did not significantly affect GCS scores, even in patients with BALs of 200 mg dl−1 or higher. When controlling for the effects of injury severity, acute alcohol intoxication affected GCS scores only in those patients with BALs greater than 200 mg dl−1 who also had intracranial abnormalities detected on CT scan.Conclusions: These findings suggest that GCS scores can be interpreted at face value in the vast majority of patients who are intoxicated. However, GCS scores will likely over-estimate the severity of brain injury in patients with abnormal head CT scans and BALs greater than 200 mg dl−1.

Neurobehavioral symptoms are not uncommon after a traumatic brain injury. However, psychiatric syndromes per se have rarely been studied in patients with such an injury. The purpose of this study was to evaluate the type and extent of psychiatric syndromes in patients with traumatic brain injury. One hundred ninety-six hospitalized adults were studied 1 year after a traumatic brain injury with the use of a two-stage psychiatric diagnostic procedure. Psychiatric diagnoses were made according to ICD-10 criteria on the basis of data from the Schedules for Clinical Assessment in Neuropsychiatry interview. Of 164 patients interviewed, 30 (18.3%) had an ICD-10 diagnosis of a psychiatric illness. Among the 120 patients who were 18-64 years old, 21.7% had a psychiatric illness, compared with 16.4% in a study of the general population. A depressive illness was present in 13.9% of the traumatic brain injury patients, compared with 2.1% of the general population, and panic disorder was present in 9.0%, compared with 0.8% of the general population. In comparison with the general population, a higher proportion of adult patients had developed psychiatric illnesses 1 year after a traumatic brain injury; the rates of depressive episode and panic disorder were significantly higher in the study group. A history of psychiatric illness, an unfavorable global outcome according to the Glasgow Outcome Scale, a lower score on the Mini-Mental State examination, and fewer years of formal education seemed to be important risk factors in the development of a psychiatric illness. Compensation claims, however, were not associated with the rate of psychiatric illness.

To determine the rates of cognitive impairment 1 year after severe traumatic brain injury (TBI) and to examine the influence of demographic, injury severity, rehabilitation, and subacute functional outcomes on cognitive outcomes 1 year after severe TBI. National multicenter cohort study over 2 years. Patients (N = 105), aged 16 years or older, with Glasgow Coma Scale score of 3 to 8 and Galveston Orientation and Amnesia Test score of more than 75. Neuropsychological tests representing cognitive domains of Executive Functions, Processing Speed, and Memory. Injury severity included Rotterdam computed tomography score, Glasgow Coma Scale score, and posttraumatic amnesia (PTA) duration, together with length of rehabilitation and Glasgow Outcome Scale-Extended score. In total, 67% of patients with severe TBI had cognitive impairment. Executive Functions, Processing Speed, and Memory were impaired in 41%, 58%, and 57% of patients, respectively. Using multiple regression analysis, Processing Speed was significantly related to PTA duration, Glasgow Outcome Scale-Extended score, and length of inpatient rehabilitation (R = 0.30); Memory was significantly related to Glasgow Outcome Scale-Extended score (R = 0.15); and Executive Functions to PTA duration (R = 0.10). Rotterdam computed tomography and Glasgow Coma Scale scores were not associated with cognitive functioning at 1 year postinjury. Findings highlight cognitive consequences of severe TBI, with nearly two-thirds of patients showing cognitive impairments in at least 1 of 3 cognitive domains. Regarding injury severity predictors, only PTA duration was related to cognitive functioning.