Establishment and validation of a prediction model for intraparenchymal hematoma expansion in patients with cerebral contusion: A reliable Nomogram.

BACKGROUND AND OBJECTIVE: Cerebral Contusion (CC) is one of the most serious injury types in patients with traumatic brain injury (TBI). Traumatic intraparenchymal hematoma (TICH) expansion severely affects the patient's prognosis. In this study, the baseline data, imaging features, and laboratory examinations of patients with CC were summarized and analyzed to develop and validate a nomogram predictive model assessing the risk factors for TICH expansion. METHODS: Totally 258 patients were included and retrospectively analyzed herein, who met the CC inclusion criteria, from July 2018 to July 2021. TICH expansion was defined as increased hematoma volume ≥ 30% relative to primary volume or an absolute hematoma increase ≥ 5 ml at CT review. RESULTS: Univariate and binary logistic regression analyses were performed to screen out the independent predictors significantly correlated with TICH expansion: Age, subdural hematoma (SDH), contusion site, multihematoma fuzzy sign (MFS), contusion volume, and traumatic coagulation abnormalities (TCA). Based on these, the nomogram model was established. The differences between the contusion volume and glasgow outcome scale (GOS) were analyzed by the nonparametric tests. Larger contusion volume was associated with poor prognosis. CONCLUSION: This study established a Nomogram model to predict TICH expansion in patients with CC. Meanwhile, the study found that the risk of bleeding tended to decrease when the hematoma volume was > 15 ml, but the larger initial hematoma volume would indicate worse prognosis. We advocate the use of predictive models for TICH expansion risk assessment in hospitalized CC patients, which is low-cost and easy-to-apply, especially in acute settings.

A novel bone-thinning technique for transcranial stimulation motor-evoked potentials in rats.

Transcranial electrical stimulated motor-evoked potentials (tcMEPs) are widely used to evaluate motor function in humans, and even in animal studies, tcMEPs are used to evaluate neurological dysfunction. However, there is a dearth of reports on extended tcMEP recordings in both animal models and humans. Therefore, this study examined a new technique for stably recording tcMEPs over several weeks in six healthy female Sprague-Dawley rats. We thinned the skull bone using the skull base and spinal surgery technique to reduce electrical resistance for electrical stimulation. tcMEPs were recorded on days 1, 7, 14, 21, and 28 after surgery. The onset latency and amplitude of tcMEPs from the hindlimbs were recorded and evaluated, and histological analysis was performed. Stable amplitude and onset latency could be recorded over several weeks, and histological analysis indicated no complications attributable to the procedure. Thus, our novel technique allows for less invasive, safer, easier, and more stable extended tcMEP recordings than previously reported techniques. The presently reported technique may be applied to the study of various nerve injury models in rats: specifically, to evaluate the degree of nerve dysfunction and recovery in spinal cord injury, cerebral infarction, and brain contusion models.

Prognostics of Hospitalization Length and Mortality in Patients with Traumatic Frontal Brain Contusions.

Traumatic brain injury has ripple effect on the physical, cognitive, behavioral, and emotional domains of quality of life and portends a long-term neurological disability in survivors. In this study we evaluated the prognostic role of demographic and clinico-radiological variables on the hospitalization length and mortality in 71 of patients with frontal brain contusions. The receiver operating characteristic (ROC) plots were performed, with area under the curve (AUC) values, for graphical comparison of variables that would predict mortality and hospitalization length. We found that the best prognostics of mortality were the Glasgow Coma Scale score, the motor function score, and the Rotterdam CT score, with AUC values of 0.873, 0.836, and 0.711, respectively. Concerning the prediction of hospitalization length, the AUC showed inappreciable differences, with the highest values for the Glasgow Coma Scale score, Rotterdam CT score, and the serum cortisol level in a 0.550-0.600 range. Curve estimation, based on multivariate analysis, showed that the scores of motor function, Glasgow Coma Scale, and Rotterdam CT correlated best with the prediction of both mortality and hospitalization length, along with the upward dynamic changes of serum cortisol for the latter. We conclude that basically simple and non-invasive assessment in survivors of acute traumatic brain contusion is helpful in predicting mortality and the length of hospital stay, which would be of essential value in better allocation of healthcare resources for inpatient treatment and rehabilitation and for post-hospital patient's functioning.

The Monocyte-to-Lymphocyte Ratio at Hospital Admission Is a Novel Predictor for Acute Traumatic Intraparenchymal Hemorrhage Expansion after Cerebral Contusion.

PURPOSE: To explore the potential of monocyte-to-lymphocyte ratio (MLR) at hospital admission for predicting acute traumatic intraparenchymal hematoma (tICH) expansion in patients with cerebral contusion. Patients and Methods. This multicenter, observational study included patients with available at-hospital admission (baseline) and follow-up computed tomography for volumetric analysis (retrospective development cohort: 1146 patients; prospective validation cohort: 207 patients). Semiautomated software assessed tICH expansion (defined as ≥33% or 5 mL absolute growth). MLR was acquired from routine blood tests upon admission. We constructed two predictive models: basic combined model of clinical and imaging variables and MLR combined model of both MLR and other variables in the basic model. Receiver operating characteristic (ROC) analysis and decision curve analysis (DCA) were used to estimate the performance of MLR for predicting acute tICH expansion. RESULTS: MLR was significantly larger in patients with acute tICH expansion compared to those without acute tICH expansion (mean [SD], 1.08 [1.05] vs. 0.59 [0.37], P < 0.001). A nonlinear positive relationship between MLR and the incidence of acute tICH expansion was observed. Multivariate logistic regression indicated MLR as an independent risk factor for acute tICH expansion (odds ratio (OR), 5.88; 95% confidence interval (CI), 4.02-8.61). The power of the multivariate model for predicting acute tICH expansion was substantially improved with the inclusion of MLR (AUC 0.86 vs. AUC 0.74, P < 0.001), as was also observed in an external validation cohort (AUC 0.83 vs. AUC 0.71, P < 0.001). The net benefit of MLR model was higher between threshold probabilities of 20-100% in DCA. For clinical application, a nomogram derived from the multivariate model with MLR was introduced. In addition, MLR was positively associated with 6-month unfavorable outcome. CONCLUSION: MLR is a novel predictor for traumatic parenchymatous hematoma expansion. A nomogram derived from the MLR model may provide an easy-to-use tool for predicting acute tICH expansion and promoting the individualized treatment of patients with hemorrhagic cerebral contusion. MLR is associated with long-term outcome after cerebral contusion.

Application of a Grading System in the Treatment of Frontal Lobe Contusion in High-Altitude Regions.

OBJECTIVE: With the development of frontal contusion, patients may rapidly deteriorate or even die. Experience in the treatment of frontal contusion in high-altitude regions is limited; thus, we explore a grading system for the treatment of frontal lobe contusion. METHODS: A total of 446 patients with frontal contusions in a high-altitude regions were reviewed retrospectively. We combined the patients' computed tomography scans of the head and clinical features for grading. The score determined the treatment and whether the bone flap was removed. If the patient's condition deteriorated, and the score was greater than 1, the patient was treated surgically. At the same time, the risk factors of deterioration were analyzed. Finally, the Glasgow Outcome Scale of conservative treatment and surgical treatment groups was analyzed. RESULTS: Among the 446 patients, 254 were conservatively treated, and 28 worsened and underwent surgical treatment. In total, 122 patients received an operation. Logistic regression analysis indicated that scattered hematoma, anterior angle of the ventricle, and hemoglobin concentration were risk factors. The postoperative Glasgow Outcome Scale of conservative treatment and surgical treatment groups was analyzed; the good healing rate of the conservative treatment group was 91.12%, the good healing rate of the retain-bone flap surgical group was 75%, and the good healing rate of the remove-bone flap surgical group was 63.33%. The failure rates of the groups were 9.38% and 7.78%, respectively. CONCLUSIONS: This grading system could guide frontal contusion treatment, which could help patients to achieve a good healing rate and reduce the failure rate.

Clinical application of the supraorbital key-hole approach to the treatment of unilateral-dominant bilateral frontal contusions.

We compared the surgical efficacy of the supraorbital key-hole approach (SKA) to conventional unilateral frontotemporal craniotomy (UFTC) for the treatment of patients with unilateral-dominant bilateral frontal contusions (BFCs). A retrospective analysis of 62 patients with unilateral-dominant BFCs who underwent surgery at our institute between 2014 and 2017 was performed. There were 26 patients who underwent SKA (group A) and 36 who underwent UFTC (group B). Postoperative computed tomography scans showed satisfactory evacuation of the frontal cerebral contusions in both groups (p > 0.05). There was less intraoperative blood loss in group A than group B (17.1 ± 4.55 vs. 67.6 ± 10.28 mL, p < 0.05). The operative time was also shorter in group A (82.7 ± 13.73 vs. 132.4 ± 9.17 min, p < 0.05). Postoperative bleeding occurred in three cases in group A and in only one case in group B (p > 0.05). The average length of hospitalization was shorter in group A than group B (7.3 ± 1.09 vs. 12.9 ± 1.71 days, p < 0.05). No differences in the Glasgow Outcome Scale were observed between the two groups after 6 months of follow-up (p > 0.05). Thus, compared to UFTC, SKA is associated with shorter operation times and less trauma to the surrounding brain tissue.

Derivation of a Predictive Score for Hemorrhagic Progression of Cerebral Contusions in Moderate and Severe Traumatic Brain Injury.

BACKGROUNDS: After traumatic brain injury (TBI), hemorrhagic progression of contusions (HPCs) occurs frequently. However, there is no established predictive score to identify high-risk patients for HPC. METHODS: Consecutive patients who were hospitalized (2008-2013) with non-penetrating moderate or severe TBI were studied. The primary outcome was HPC, defined by both a relative increase in contusion volume by ≥30 % and an absolute increase by ≥10 mL on serial imaging. Logistic regression models were created to identify independent risk factors for HPC. The HPC Score was then derived based on the final model. RESULTS: Among a total of 286 eligible patients, 61 (21 %) patients developed HPC. On univariate analyses, HPC was associated with older age, higher initial blood pressure, antiplatelet medications, anticoagulants, subarachnoid hemorrhage (SAH) subdural hematoma (SDH), skull fracture, frontal contusion, larger contusion volume, and shorter interval from injury to initial CT. In the final model, SAH (OR 6.33, 95 % CI, 1.80-22.23), SDH (OR 3.46, 95 % CI, 1.39-8.63), and skull fracture (OR 2.67, 95 % CI, 1.28-5.58) were associated with HPC. Based on these factors, the HPC Score was derived (SAH = 2 points, SDH = 1 point, and skull fracture = 1 point). This score had an area under the receiver operating curve of 0.77. Patients with a score of 0-2 had a 4.0 % incidence of HPC, while patients with a score of 3-4 had a 34.6 % incidence of HPC. CONCLUSIONS: A simple HPC Score was developed for early risk stratification of HPC in patients with moderate or severe TBI.