Role of computed tomography scores and findings to predict early death in patients with traumatic brain injury: A reappraisal in a major tertiary care hospital in Nepal

Traumatic Brain Injury Outcome Associations With Computed Tomography and Glasgow Coma Scale Score Interactions: A Retrospective Study

Background Numerous investigators have shown that early postinjury Glasgow Coma Scale (GCS) values are associated with later clinical outcomes in patients with traumatic brain injury (TBI), in-hospital mortality, and post-hospital discharge Glasgow Outcome Scale (GOS) results. Following TBI, early GCS, and brain computed tomography (CT) scores have been associated with clinical outcomes. However, only one previous study combined GCS scores with CT scan results and demonstrated an interaction with in-hospital mortality and GOS results. We aimed to determine if interactive GCS and CT findings would be associated with outcomes better than GCS and CT findings alone. Methodology Our study included TBI patients who had GCS scores of 3-12 and required mechanical ventilation for ≥five days. The GCS deficit was determined as 15 minus the GCS score. The mass effect CT score was calculated as lateral ventricular compression plus basal cistern compression plus midline shift. Each value was 1 for present. A prognostic CT score was the mass effect score plus subarachnoid hemorrhage (2 if present).The CT-GCS deficit score was the sum of the GCS deficit and the prognostic CT score. Results One hundred and twelve consecutive TBI patients met the inclusion criteria. Patients with surgical decompression had a lower GCS score (6.0±3.0) than those without (7.7±3.3; Cohen d=0.54). Patients with surgical decompression had a higher mass effect CT score (2.8±0.5) than those without (1.7±1.0; Cohen d=1.4). The GCS deficit was greater in patients not following commands at hospital discharge (9.6±2.6) than in those following commands (6.8±3.2; Cohen d=0.96). The prognostic CT score was greater in patients not following commands at hospital discharge (3.7±1.2) than in those following commands (3.1±1.1; Cohen d=0.52). The CT-GCS deficit score was greater in patients not following commands at hospital discharge (13.3±3.2) than in those following commands (9.9±3.2; Cohen d=1.06). Logistic regression stepwise analysis showed that the failure to follow commands at hospital discharge was associated with the CT-GCS deficit score but not with the GCS deficit. The GCS deficit was greater in patients not following commands at three months (9.7±2.8) than in those following commands (7.4±3.2; Cohen d=0.78). The CT-GCS deficit score was greater in patients not following commands at three months (13.6±3.1) than in those following commands (10.5±3.4; Cohen d=0.94). Logistic regression stepwise analysis showed that failure to follow commands at three months was associated with the CT-GCS deficit score but not with the GCS deficit. The proportion not following commands at three months was greater with a GCS deficit of 9-12 (50.9%) than with a GCS deficit of 3-8 (21.1%; odds ratio=3.9; risk ratio=2.1). The proportion of not following commands at three months was greater with a CT-GCS deficit score of 13-17 (56.0%) than with a CT-GCS deficit score of 4-12 (18.3%; OR=5.7; RR=3.1). Conclusion The mass effect CT score had a substantially better association with the need for surgical decompression than did the GCS score. The degree of association for not following commands at hospital discharge and three months was greater with the CT-GCS deficit score than with the GCS deficit. These observations support the notion that a mass effect and subarachnoid hemorrhage composite CT score can interact with the GCS score to better prognosticate TBI outcomes than the GCS score alone.

The Outcome Predictors of the Patients with Traumatic Brain Injury; A Cross-Sectional Study

Objective

To probe the factors associated with the outcomes of traumatic brain injury (TBI) patients admitted to emergency department (ED).

Methods

This is a cross-sectional study that data gathering was performed via census methods, retrospectively. During one year, all head injury's patients who admitted to the ED of a tertiary center in Tehran, Iran were included. Age, gender, mechanism of injury, Glasgow coma scale (GCS) and injury severity score (ISS) on admission, presence of extra-cranial injuries, findings of brain computed tomography (CT), duration of hospitalization, and in hospital outcomes were recorded. Outcome's assessment for survivors was performed within a 6 months-period after discharge based on Glasgow outcome scale (GOS). The variables and outcomes' association were assessed.

Results

Totally, 506 patients were evaluated with the mean age of 36.77±21.1 years that 411 (81.2%) were men. Follow up at 6-months post injury was feasible in 487 (96.2%) patients; 59 (11.7%) out of 506 eligible patients died. Logistic regression analysis showed the association between assessed variables and patients' outcome as follows: age>65 years (OR: 12.21; p<0.001), GCS on admission <8 (OR: 62.99; p<0.001), presence of traumatic Intracerebral hemorrhage (ICH) in brain CT scan (OR: 20.11; p=0.010), duration of hospitalization ≥ 5 days (OR: 0.28; p=0.001).

Conclusion

The findings of the current study distinguished some variables that were associated with the poor outcome of the patients with TBI. Therefore, TBI patients with any of these risk factors may need close continues monitoring, early ICU admission, and some other special extra care in ED.

Traumatic Brain Injury-Related Pediatric Mortality and Morbidity in Low- and Middle-Income Countries: A Systematic Review

BACKGROUND

The burden of pediatric traumatic brain injury (pTBI) in low- and middle-income countries (LMICs) is unknown. To fill this gap, we conducted a review that aimed to characterize the causes of pTBI in LMICs, and their reported associated mortality and morbidity.

METHODS

A systematic review was conducted. MEDLINE, Embase, Global Health, and Global Index Medicus were searched from January 2000 to May 2020. Observational or experimental studies on pTBI of individuals aged between 0 and 16 years in LMICs were included. The causes of pTBI and morbidity data were descriptively analyzed, and case fatality rates were calculated.

PROSPERO ID

CRD42020171276.

RESULTS

A total of 136 studies were included. Fifty-seven studies were at high risk of bias. Of the remaining studies, 170,224 cases of pTBI were reported in 32 LMICs. The odds of having a pTBI were 1.8 times higher (95% confidence interval, 1.6-2.0) in males. The odds of a pTBI being mild were 4.4 times higher (95% confidence interval, 1.9-6.8) than a pTBI being moderate or severe. Road traffic accidents were the most common cause (n = 16,275/41,979; 39%) of pTBIs. On discharge, 24% of patients (n = 4385/17,930) had a reduction in their normal mental or physical function. The median case fatality rate was 7.3 (interquartile range, 2.1-7.7).

CONCLUSIONS

Less than a quarter (n = 32) of all LMICs have published high-quality data on the volume and burden of pTBI. From the limited data available, young male children are at a high risk of pTBIs in LMICs, particularly after road traffic accidents.

Predictive Value of Rotterdam Score and Marshall Score in Traumatic Brain Injury: A Contemporary Review

This article conducts a contemporary comparative review of the medical literature to update and establish evidence as to which framework among Rotterdam and Marshall computed tomography (CT)-based scoring systems predicts traumatic brain injury (TBI) outcomes better. The scheme followed was following the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines for literature search. The search started on August 15, 2020 and ended on December 31, 2020. The combination terms used were Medical Subject Headings terms, combination keywords, and specific words used for describing various pathologies of TBI to identify the most relevant article in each database. PICO question to guide the search strategy was: “what is the use of Marshall (I) versus Rotterdam score (C) in TBI patients (P) for mortality risk stratification (O).” The review is based on 46 references which included a full review of 14 articles for adult TBI patients and 6 articles for pediatric TBI articles comparing Rotterdam and Marshall CT scores. The review includes 8,243 patients, of which 2,365 were pediatric and 5,878 were adult TBI patients. Marshall CT classification is not ordinal, is more descriptive, has better inter-rater reliability, and poor performance in a specific group of TBI patients requiring decompressive craniectomy. Rotterdam CT classification is ordinal, has better discriminatory power, and a better description of the dynamics of intracranial changes. The two scoring systems are complimentary. A combination of clinical parameters, severity, ischemic and hemodynamic parameters, and CT scoring system could predict the prognosis of TBI patients with significant accuracy. None of the classifications has good evidence for use in pediatric patients.

Validation of the Revised Neuroimaging Radiological Interpretation System For Acute Traumatic Brain Injury in Adult and Pediatric Population

Aim Our study aimed to validate the revised neuroimaging radiological interpretation system (NIRIS), which would standardize the interpretation of noncontrast head CT of acute traumatic brain injury (TBI) patient and consolidate imaging finding into ordinal severity categories that would not only inform specific patient management actions but could also be used as a clinical decision support tool.

Methods We retrospectively studied dispositions and their outcomes of consecutive patients brought to the Sawai Man Singh Hospital Trauma Centre, Jaipur, India, by any means of transport and who underwent a noncontrast CT scan for suspected TBI between April and December 2018.

Results The revised NIRIS correctly predicted disposition and outcome in 62.9% (750/1192) of patients. After excluding patients with OMEI (other major extracranial injuries) and OMII (other major intracranial injuries), a correct prediction was observed in 88.3% (670/758) of patients. After excluding OMEI and OMII, the predictability of revised NIRIS in the adult population is 87.6% (446/509), while predictability in the pediatric population is 92.1% (224/249).

Conclusion Revised NIRIS is a good tool for predicting patient dispositions, to specific management categories, and outcomes in TBI patients after noncontrast CT head.

Which factors influence the decision to transfer patients with traumatic brain injury to a neurosurgery unit in a major trauma network?

Objectives: Within the pan London Major Trauma System many patients with minor or non-life threatening traumatic brain injury (TBI) remain at their local hospital and are not transferred to a major trauma centre (MTC). Our aim was to identify factors that influence the decision to transfer patients with TBI to a neurosurgical centre.Methods: This is a single centre prospective cohort study of all patients with TBI referred to our neurosurgery unit from regional acute hospitals over a 4-month period (Sept 2016-Jan 2017). Our primary outcome was transferred to a neurosurgical centre. We identified the following factors that may predict decision to transfer: patient demographics, transfer distance, antithrombotic therapy and severity of TBI based on initial Glasgow Coma Scale (GCS) and Marshall CT score. A multivariable logistic regression analysis was performed.Results: A total of 339 patients were referred from regional hospitals with TBI and of these, 53 (15.6%) were transferred to our hospital. The mean age of patients referred was 70.6 years, 62.5% were men and 43% on antithrombotic drugs. Eighty-six percent of patients had mild TBI (GCS 13-15) on initial assessment and 79% had a Marshall CT score of 2. The adjusted analysis revealed only higher age, higher Marshall Score, the presence of chronic subdural haematoma (CSDH), the presence of contusion(s) and fracture(s) predicted transfer (p<.05). Subgroup analysis consistently showed a higher Marshall score predicted transfer (p<.05).Conclusions: In our cohort higher Marshall score consistently predicted transfer to our neurosurgical centre. Presenting GCS, transfer distance and antithrombotic therapy did not influence decision to transfer.

Demographics and clinical characteristics of acute traumatic brain injury patients in the different Neuroimaging Radiological Interpretation System (NIRIS) categories

PURPOSE

To characterize the demographics, clinical and imaging findings, and outcomes of traumatic brain injury (TBI) patients in each of NeuroImaging Radiological Interpretation System (NIRIS) categories.

MATERIAL AND METHODS

We considered all consecutive patients transported to Stanford Hospital's emergency department by ambulance or helicopter between November 2015 and April 2017. We retained adult patients (> 18 years old) for whom a trauma alert was triggered and who underwent a non-contrast head computer tomography (CT) because of suspected TBI. We reviewed the non-contrast CT scans in these patients for the NIH TBI common data elements (CDEs). We recorded, then assessed differences in terms of demographics, clinical characteristics, imaging CDEs, and outcomes in patients from the different NIRIS categories.

RESULTS

In all, 1152 patients were included in this study. Patients with NIRIS 0 imaging findings were significantly younger than patients in other NIRIS categories (P<0.001). Motor vehicle accidents and falls from height were the most common mechanisms of injury across NIRIS categories. GCS scores decreased with increasing NIRIS category imaging findings and were significantly lower in patients with NIRIS 4 imaging findings (P<0.001). Significant differences in NIRIS categories were observed for all imaging CDEs (P<0.001), in agreement with the definition of the different NIRIS categories. Mortality increased progressively with increasing NIRIS severity.

CONCLUSIONS

TBI patients in different NIRIS categories have different clinical characteristics, hospital courses and outcomes. This natural history assessment of patients from different NIRIS categories could thus serve as a reference standard for future TBI clinical trials.

Formulation of a Three-Tier Cisternal Grade as a Predictor of In-Hospital Outcome from a Prospective Study of Patients with Traumatic Intracranial Hematoma

OBJECTIVE

Outcome prediction is of paramount importance in traumatic brain injury. Our objective of conducting this prospective study was to identify the predictors needed to formulate a prognostic score.

METHODS

Clinical and radiologic characteristics of 100 patients with traumatic intracranial hematoma were analyzed. Key measurements were taken in the midbrain and pontine regions and the status of each of the 9 basal cisterns was noted, by giving a score of 1 if they were visible and 0 if not. All the predictors were analyzed for outcome.

RESULTS

Total cisternal score was found to be an independent predictor of outcome. A grade was formulated by dividing the score into 3 levels.

CONCLUSIONS

The model based on cisternal status described in the study is technically simple and conveys the information regarding the outcome to the treating neurosurgeon. Because the score obtained seems to have low interobserver variation, we believe that it can be a useful tool not only in recording data in case files and interphysician communication but also in research into traumatic brain injury.