First CT findings and improvement in GOS and GOSE scores 6 and 12 months after severe traumatic brain injury

Can We Actually Predict Long-Term Patient Satisfaction After Traumatic Brain Injury?

INTRODUCTION

The Traumatic Brain Injury - Patient Reported Outcome (TBI-PRO) model was previously derived to predict long-term patient satisfaction as assessed by the Quality of Life After Brain Injury (QOLIBRI) score. The aim of this study is to externally and prospectively validate the TBI-PRO model to predict long-term patient-reported outcomes and to derive a new model using a larger dataset of older adults with TBI.

METHODS

Patients admitted to a Level I trauma center with TBI were prospectively followed for 1 y after injury. Outcomes predicted by the TBI-PRO model based on admission findings were compared to actual QOLIBRI scores reported by patients at 3,6, and 12 mo. When deriving a new model, Collaborative European NeuroTrauma Effectiveness Research in TBI and the Transforming Research and Clinical Knowledge in Traumatic Brain Injury databases were used to identify older adults (≥50 y) with TBI from 2014 to 2018. Bayesian additive regression trees were used to identify predictive admission covariates. The coefficient of determination was used to identify the fitness of the model.

RESULTS

For prospective validation, a total of 140 patients were assessed at 3 mo, with follow-up from 69 patients at 6 mo and 13 patients at 12 mo postinjury. The area under receiver operating curve of the TBI-PRO model for predicting favorable outcomes at 3, 6, and 12 mo were 0.65, 0.57, and 0.62, respectively. When attempting to derive a novel predictive model, a total of 1521 patients (80%) was used in the derivation dataset while 384 (20%) were used in the validation dataset. A past medical history of heart conditions, initial hospital length of stay, admission systolic blood pressure, age, number of reactive pupils on admission, and the need for craniectomy were most predictive of long-term QOLIBRI-Overall Scale. The coefficient of determination for the validation model including only the most predictive variables were 0.28, 0.19, and 0.27 at 3, 6, and 12 mo, respectively.

CONCLUSIONS

In the present study, the prospective validation of a previously derived TBI-PRO model failed to accurately predict a long-term patient reported outcome measures in TBI. Additionally, the derivation of a novel model in older adults using a larger database showed poor accuracy in predicting long-term health-related quality of life. This study demonstrates limitations to current targeted approaches in TBI care. This study provides a framework for future studies and more targeted datasets looking to assess long-term quality of life based upon early hospital variables and can serve as a starting point for future predictive analysis.

Improvement in Functional Outcome from 6 to 12 Months After Moderate and Severe Traumatic Brain Injury Is Frequent, But May Not Be Detected With the Glasgow Outcome Scale Extended

The aims of this study were (1) to report outcome and change in outcome in patients with moderate and severe traumatic brain injury (mo/sTBI) between 6 and 12 months post-injury as measured by the Glasgow Outcome Scale Extended (GOSE), (2) to explore if demographic/injury-related variables can predict improvement in GOSE score, and (3) to investigate rate of improvement in Disability Rating Scale (DRS) score, in patients with a stable GOSE. All surviving patients ≥16 years of age who were admitted with mo/sTBI (Glasgow Coma Scale [GCS] score ≤13) to the regional trauma center in Central Norway between 2004 and 2019 were prospectively included (n = 439 out of 503 eligible). GOSE and DRS were used to assess outcome. Twelve-months post-injury, 13% with moTBI had severe disability (GOSE 2-4) versus 27% in sTBI, 26% had moderate disability (GOSE 5-6) versus 41% in sTBI and 62% had good recovery (GOSE 7-8) versus 31% in sTBI. From 6 to 12 months post-injury, 27% with moTBI and 32% with sTBI had an improvement, whereas 6% with moTBI and 6% with sTBI had a deterioration in GOSE score. Younger age and higher GCS score were associated with improved GOSE score. Improvement was least frequent for patients with a GOSE score of 3 at 6 months. In patients with a stable GOSE score of 3, an improvement in DRS score was observed in 22 (46%) patients. In conclusion, two thirds and one third of patients with mo/sTBI, respectively, had a good recovery. Importantly, change, mostly improvement, in GOSE score between 6 and 12 months was frequent and argues against the use of 6 months outcome as a time end-point in research. The GOSE does, however, not seem to be sensitive to actual change in function in the lower categories and a combination of outcome measures may be needed to describe the consequences after TBI.

Early diagnosis of mortality using admission CT perfusion in severe traumatic brain injury patients (ACT-TBI): protocol for a prospective cohort study

INTRODUCTION

Severe traumatic brain injury (TBI) is a catastrophic neurological condition with significant economic burden. Early in-hospital mortality (<48 hours) with severe TBI is estimated at 50%. Several clinical examinations exist to determine brain death; however, most are difficult to elicit in the acute setting in patients with severe TBI. Having a definitive assessment tool would help predict early in-hospital mortality in this population. CT perfusion (CTP) has shown promise diagnosing early in-hospital mortality in patients with severe TBI and other populations. The purpose of this study is to validate admission CTP features of brain death relative to the clinical examination outcome for characterizing early in-hospital mortality in patients with severe TBI.

METHODS AND ANALYSIS

The Early Diagnosis of Mortality using Admission CT Perfusion in Severe Traumatic Brain Injury Patients study, is a prospective cohort study in patients with severe TBI funded by a grant from the Canadian Institute of Health Research. Adults aged 18 or older, with evidence of a severe TBI (Glasgow Coma Scale score ≤8 before initial resuscitation) and, on mechanical ventilation at the time of imaging are eligible. Patients will undergo CTP at the time of first imaging on their hospital admission. Admission CTP compares with the reference standard of an accepted bedside clinical assessment for brainstem function. Deferred consent will be used. The primary outcome is a binary outcome of mortality (dead) or survival (not dead) in the first 48 hours of admission. The planned sample size for achieving a sensitivity of 75% and a specificity of 95% with a CI of ±5% is 200 patients.

ETHICS AND DISSEMINATION

This study has been approved by the University of Manitoba Health Research Ethics Board. The findings from our study will be disseminated through peer-reviewed journals and presentations at local rounds, national and international conferences. The public will be informed through forums at the end of the study.

TRIAL REGISTRATION NUMBER

NCT04318665.

Improvement of quality of life (QOL) between 1 and 3-4 years after traumatic brain injury (TBI) in ICU patients

BACKGROUND

Evaluation of changes in quality of life (QOL) in ICU patients several years after traumatic brain injury (TBI) is not well documented.

METHODS

A prospective cohort study was conducted in all patients with TBI admitted between 2004 and 2008 to the ICU of Regional Hospital of Malaga (Spain). Functional status was evaluated by Glasgow Outcome Scale (GOS) and QOL by PAECC (Project for the Epidemiologic Analysis of Critical Care patients) questionnaire between 0 (normal QOL) to 29 points (worst QOL).

RESULTS

A total of 531 patients. Median(Quartile1,Quartile 3) age: 35 (22, 56) years. After 3-4 years, 175 died (33%). Survivor QOL was deteriorated (median total PAECC score: 5 (0, 11) points) although 75.76% of patients who survived showed good functional situation (GOS normal or mild dysfunction). An improvement in QOL scores between 1 and 3-4 years was observed (median PAECC score differences between 3-4 years and 1 year: - 1(- 4, 0) points). QOL score improved during this interval of time: 62.6% of patients. Change in QOL was related by multivariate analysis to admission cranial-computed tomography scan (Marshall's classification), age, and Injury Severity Score (ISS), with the biggest improvement seen in younger patients and with more severe ISS. Basic physiological activities were maintained in the majority of patients. Subjective aspects and working activities improved between 1 and 3-4 years but with a high proportion still impaired in these items after 3-4 years.

CONCLUSIONS

ICU patients with TBI after 1 year show improvement in QOL between 1 and 3-4 years, with the biggest improvement in QOL seen in younger patients and in those with more severe ISS.

Impact of Traumatic Brain Injury on Clinical Institute Withdrawal Assessment Use in Trauma Patients: A Descriptive Study

BACKGROUND

Alcohol withdrawal syndrome (AWS) and traumatic brain injury (TBI) present with similar signs and symptoms, yet their treatment strategies differ greatly. AWS treatment includes the Clinical Institute Withdrawal Assessment (CIWA) protocol, which grades withdrawal signs and symptoms. A major purpose of CIWA is to guide the addition and titration of central nervous system (CNS) depressants, most commonly benzodiazepines. Conversely, best practice is to avoid these same CNS depressants in the setting of TBI. Thus, patients with TBI presenting with AWS risk may receive undesirable interventions that could worsen outcome.

OBJECTIVE

To describe the relationship of TBI diagnosis with CIWA protocol scores and intervention implementation.

DESIGN

Retrospective cohort observational study.

SETTING

Single university-based, level one trauma center.

PATIENTS

Three hundred seventy-five patients with head trauma or AWS classification, identified through the trauma center's trauma registry.

INTERVENTIONS

CIWA protocol and related medication use.

MAIN OUTCOME MEASURES

Frequency of elevated CIWA score, length of CIWA administration, and medication administration incidence were abstracted from patients' medical records.

RESULTS

The percentage of elevated CIWA scores increased significantly with TBI severity, from 4.5%(0-60) in the No TBI group, up to 12.5% (0-36) in the Mild TBI group, 27.1% (0-57) in the Moderate TBI group, and 50.0% (14-77) in the Severe TBI group. Nominally, lorazepam use showed a similar pattern of escalation with TBI severity, but it did not reach statistical significance. Haloperidol use did significantly escalate with higher TBI severity. No group differences were observed for total lorazepam equivalents or length on the CIWA protocol.

CONCLUSIONS

TBI diagnosis and higher TBI severity level correlate with higher CIWA scores, but neither increased nor decreased benzodiazepine usage was observed. Antipsychotic use did escalate with TBI diagnosis and severity. The risks versus benefits of minimizing benzodiazepines in patients with TBI who are at risk for AWS warrant future study.

Admission Perfusion CT for Classifying Early In-Hospital Mortality of Patients With Severe Traumatic Brain Injury: A Pilot Study

OBJECTIVE. The purposes of this study were to assess the feasibility and safety of perfusion CT of patients with severe traumatic brain injury (TBI) at hospital admission and to examine whether early in-hospital mortality could be characterized with perfusion CT (PCT). The hypothesis was that PCT can be used to characterize brain death, when present, in patients with severe TBI at hospital admission. SUBJECTS AND METHODS. In this prospective cohort pilot study, PCT was performed on patients with severe TBI at first imaging workup at hospital admission. PCT images were processed at the end of the study and assessed for features of brain death. The PCT features were then compared with the clinical outcome of in-hospital mortality. RESULTS. A total of 19 patients (13 men [68.4%]; six women [31.6%]; mean age, 36.4 years; median, 27.5 years) had a mean hospital stay longer than 1 month. No complications of PCT were found. In the first 48 hours after admission, four patients (21%) died. Admission PCT changes suggesting brainstem death were sensitive (75%) and specific (100%) and had high positive (100%) and negative (93.75%) predictive value for correct classification early in-hospital mortality. CONCLUSION. Admission PCT of patients with severe TBI was feasible and safe. Admission PCT findings helped in correctly classifying early in-hospital mortality in the first 48 hours of hospital admission.

The Prognostic Value of Rotterdam Computed Tomography Score in Predicting Early Outcomes Among Children with Traumatic Brain Injury

BACKGROUND

Prediction of traumatic brain injury (TBI) among children is of great importance for accurate clinical decision making.

OBJECTIVES

This study aimed to determine the prognostic value of the Rotterdam scoring system in predicting early outcome among children with TBI.

METHODS

This study was conducted in 2017 on 506 children with brain injury in Kashan, Iran. A checklist was used to collect demographic and clinical characteristics of patients such as age, sex, mechanism of trauma, Glasgow Coma Scale (GCS) score, need for surgery, and brain injury outcome. Moreover, each participant's computed tomography scan was evaluated and scored using the Rotterdam system. Sensitivity, specificity, positive and negative predictive values, and the best cut-off score were calculated for the Rotterdam system. The relationships of the Rotterdam score with participants' characteristics were examined using the χ² test, whereas the predictors of brain injury outcome were identified using the logistic regression analysis.

RESULTS

Pediatric death rate was 4.3%. Most deaths were among children who were male, aged <4, had developed brain injury owing to traffic accidents, had a GCS score of 3-8, suffered from compressed skull fracture and frontal lobe injury, had cerebral edema, and had a Rotterdam score of 5. The sensitivity and specificity of a Rotterdam score 3 were 86.4% and 97.9%, respectively. The logistic regression analysis indicated that only GCS and Rotterdam scores were significant predictors of brain injury outcome.

CONCLUSIONS

At a cut-off score of 3, the Rotterdam system can be used to predict TBI outcome among children with acceptable sensitivity and specificity.

A new hybrid classification system for traumatic brain injury which helps predict long-term consciousness: a single-center retrospective study

BACKGROUND

To develop and validate a refined traumatic brain injury (TBI) classification system to supplement the existing systems which have limited accuracy for predicting long-term consciousness recovery.

METHODS

The refined classification system was developed using medical records of 527 patients according to clinical presentations within 12-24 hrs after injury. Multiple linear regression was applied to identify protective and risk factors for Glasgow Coma Scale (GCS) and Glasgow Outcome Scale (GOS) score at 12-month follow-up. The TBI severity was moved to a less or more severe level when more than half of the protective or risk factors were present. The capability and reliability of each system for predicting 12 month GCS and GOS scores, and mortality were assessed using ROC curve analysis and Cronbach's Alpha reliability coefficient.

RESULTS

One protective factor and four risk factors were identified for predicting long-term outcomes. The refined system had higher sensitivity and specificity in predicting 12-month GCS and GOS scores, and mortality than the other two systems. The refined system had lower reliability than the GCS system and higher reliability than the Chinese system.

CONCLUSIONS

The refined system incorporates the advantages of both GCS and Chinese systems and provides a better prediction of long-term consciousness outcome.

Relationship between quality-of-life after 1-year follow-up and severity of traumatic brain injury assessed by computerized tomography

PURPOSE

This paper studies the relationship between computed tomography (CT) scan on admission, according to Marshall's tomographic classification, and quality-of-life (QoL) after 1 year in patients admitted to the Intensive Care Unit (ICU) with traumatic brain injury (TBI).

METHODS

This study used validated scales including the Glasgow Outcome Scale and the PAECC (Project for the Epidemiologic Analysis of Critical Care Patients) QoL questionnaire.

RESULTS

We enrolled 531 patients. After 1 year, 171 patients (32.2%) had died (missing data = 6.6%). Good recovery was seen in 22.7% of the patients, while 20% presented moderate disability. The PAECC score after 1 year was 9.43 ± 8.72 points (high deterioration). Patients with diffuse injury I had a mean of 5.08 points vs 7.82 in those with diffuse injury II, 11.76 in those with diffuse injury III and 19.29 in those with diffuse injury IV (p < 0.001). Multivariate analysis found that QoL after 1 year was associated with CT Marshall classification, depth of coma, age, length of stay, spinal injury and tracheostomy.

CONCLUSIONS

Patients with TBI had a high mortality rate 1 year after admission, deterioration in QoL and significant impairment of functional status, although more than 40% were normal or self-sufficient. QoL after 1 year was strongly related to cranial CT findings on admission.

Use of Rotterdam CT scores for mortality risk stratification in children with traumatic brain injury

OBJECTIVES

The Rotterdam CT score refined features of the Marshall score and was designed to categorize traumatic brain injury type and severity in adults. The objective of this study was to determine whether the Rotterdam CT score can be used for mortality risk stratification after pediatric traumatic brain injury.

DESIGN

In children with moderate to severe traumatic brain injury, a comparison of observed versus predicted mortality was calculated using published model probabilities of adult mortality. Development and validation of a new pediatric mortality model using randomly selected prediction and validation samples from our cohort.

SETTING

A single level 1 pediatric trauma center.

SUBJECTS

Six hundred thirty-two children with moderate or severe traumatic brain injury.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Sixteen percent of the patients (101 of 632) died prior to hospital discharge. The predicted mortality based on Rotterdam score for adults with moderate or severe traumatic brain injury discriminated pediatric observed mortality well (area under the curve = 0.85; 95% CI, 0.80-0.89) but had poor calibration, overestimating or underestimating mortality for children in several Rotterdam categories. A predictive model based on children with moderate or severe traumatic brain injury from the single center discriminated mortality well (area under the curve, 0.80; 95% CI, 0.68-0.91) and showed good calibration and overall fit.

CONCLUSIONS

Children with traumatic brain injury have better survival than adults in Rotterdam CT score categories representing less severe injuries but worse survival than adults in higher score categories. A novel, validated pediatric mortality model based on the Rotterdam score is accurate in children with moderate or severe traumatic brain injury and can be used for risk stratification.

Brain CT perfusion provides additional useful information in severe traumatic brain injury

BACKGROUND

The role of brain CT perfusion (CTP) imaging in severe traumatic brain injury (STBI) is unclear. We hypothesised that in STBI early CTP may provide additional information beyond the non contrast CT (NCCT).

METHODS

Subset analysis of an ongoing prospective observational study on trauma patients with STBI who did not require craniectomy and deteriorated or failed to improve neurologically during the first 48h from trauma. Subsequently to follow-up NCCT, a CTP was obtained. Additional findings were defined as an area of altered perfusion on CTP larger than the abnormal area detected by the simultaneous NCCT. Patients who had additional finding (A-CTP) were compared with patients who did not have additional findings (NA-CTP).

RESULTS

Study population was 30 patients [male: 90%, mean age: 38.6 (SD 16.9), blunt trauma: 100%; prehospital intubation: 6 (20%); lowest GCS before intubation: 5.1 (SD 2.0); mean ISS: 30.5 (SD 8.3); mean head and neck AIS: 4.4 (SD 0.8). Days in ICU: 10.2 (SD 6.3). Intracranial pressure (ICP) monitored in 12 (40%). Mean highest ICP in mmHg: 30.1 (SD14.1). There were five (17%) deaths. Findings of NCCT: primarily diffuse axonal injury (DAI) pattern in seven (23%), primarily haematoma in ten (33%), and primarily intracerebral contusion in nine (30%). CTP was performed 24.9 (SD 13) hours from trauma. There were 18 (60%) patients in the A-CTP group and 12 (40.0%) in NA-CTP. The A-CTP group was older (41.7 (SD16.9) vs 27.7 (SD 12.8): P<0.02) and showed on admission NCCT presence of cerebral contusion and absence of DAI. The degree of hypoperfusion was found to be severe enough to be in the ischaemic range in eight patients (27%). CTP altered clinical management in three patients (10%), who were diagnosed with massive and unsurvivable strokes despite minimal changes on NCCT.

CONCLUSION

When compared to NCCT, CTP provided additional diagnostic information in 60% of patients with STBI. CTP altered clinical management in 10% of patients.

Incremental validity of neuropsychological evaluations to computed tomography in predicting long-term outcomes after traumatic brain injury

This study evaluated the incremental utility of neuropsychological tests to computed tomography (CT) in predicting long-term outcomes of adults with moderate to severe traumatic brain injury (TBI). Participants were 288 adults with mild complicated, moderate, and severe TBI. Longitudinal data were evaluated during inpatient status in an urban rehabilitation hospital with a TBI Model System, as well as 1 and 2 years post injury. Predictors including demographic characteristics, injury severity, CT characteristics, and neuropsychological evaluations were regressed to outcomes of disability, life satisfaction, and employment at 1 and 2 years post injury. Prediction of life satisfaction was not improved with the use of CT characteristics or neuropsychological tests, but prediction of return to work was improved by these variables at 2 years post injury. Neuropsychological evaluations uniquely contributed to outcome predictions of functional disability, even after considering demographic and injury severity characteristics, including information from CT. In contrast, CT characteristics were not predictive of long-term functional disability at 1 or 2 years post TBI. Taken together, the findings indicate that neuropsychological tests add unique predictive information for long-term functional outcomes after TBI.

Impact of non-neurological complications in severe traumatic brain injury outcome

Introduction

Non-neurological complications in patients with severe traumatic brain injury (TBI) are frequent, worsening the prognosis, but the pathophysiology of systemic complications after TBI is unclear. The purpose of this study was to analyze non-neurological complications in patients with severe TBI admitted to the ICU, the impact of these complications on mortality, and their possible correlation with TBI severity.

Methods

An observational retrospective cohort study was conducted in one multidisciplinary ICU of a university hospital (35 beds); 224 consecutive adult patients with severe TBI (initial Glasgow Coma Scale (GCS) < 9) admitted to the ICU were included. Neurological and non-neurological variables were recorded.

Results

Sepsis occurred in 75% of patients, respiratory infections in 68%, hypotension in 44%, severe respiratory failure (arterial oxygen pressure/oxygen inspired fraction ratio (PaO₂/FiO₂) < 200) in 41% and acute kidney injury (AKI) in 8%. The multivariate analysis showed that Glasgow Outcome Score (GOS) at one year was independently associated with age, initial GCS 3 to 5, worst Traumatic Coma Data Bank (TCDB) first computed tomography (CT) scan and the presence of intracranial hypertension but not AKI. Hospital mortality was independently associated with initial GSC 3 to 5, worst TCDB first CT scan, the presence of intracranial hypertension and AKI. The presence of AKI regardless of GCS multiplied risk of death 6.17 times (95% confidence interval (CI): 1.37 to 27.78) (P < 0.02), while ICU hypotension increased the risk of death in patients with initial scores of 3 to5 on the GCS 4.28 times (95% CI: 1.22 to15.07) (P < 0.05).

Conclusions

Low initial GCS, worst first CT scan, intracranial hypertension and AKI determined hospital mortality in severe TBI patients. Besides the direct effect of low GCS on mortality, this neurological condition also is associated with ICU hypotension which increases hospital mortality among patients with severe TBI. These findings add to previous studies that showed that non-neurological complications increase the length of stay and morbidity in the ICU but do not increase mortality, with the exception of AKI and hypotension in low GCS (3 to 5).