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Dickkopf-1 (DKK-1) may be involved in inflammatory response and secondary brain injury after acute brain injury. We gauged serum DKK-1 levels and further assessed its correlation with disease severity and investigated its predictive value for 90-day prognosis in patients with spontaneous intracerebral hemorrhage (sICH). Serum DKK-1 levels were measured in 128 sICH patients and 128 healthy controls. The severity of sICH was assessed using the Glasgow Coma Scale (GCS) scores and hematoma volumes. Poor prognosis was referred to as a Glasgow Outcome Scale (GOS) score of 1-3 at 90 days after stroke. Multivariate analysis was performed to identify associations of serum DKK-1 levels with disease severity, early neurological deterioration (END) and poor prognosis. Receiver operating characteristic curve (ROC) was built to investigate the prognostic predictive capability. The serum DKK-1 levels of patients were significantly higher than those of controls (median, 4.74 ng/mL versus 1.98 ng/mL; P < 0.001), and were independently correlated with hematoma volumes (ρ = 0.567, P < 0.001; t = 3.444, P = 0.001) and GCS score (ρ = -0.612, P < 0.001; t = -2.048, P = 0.043). Serum DKK-1 significantly differentiated patients at risk of END (area under ROC curve (AUC), 0.850; 95% confidence interval (CI), 0.777-0.907; P < 0.001) and poor prognosis (AUC, 0.830; 95% CI, 0.753-0.890; P < 0.001), which had similar prognostic ability, as compared to GCS scores and hematoma volumes. Subsequent Logistic regression model affirmed that GCS score, hematoma volume, and serum DKK-1 levels were independently associated with END and poor prognosis at 90 days after sICH. The models, which contained them, performed well using ROC curve analysis and calibration curve analysis. Serum DKK-1 levels are markedly associated with disease severity, END and 90-day poor prognosis in sICH. Hence, serum DKK-1 is presumed to be used as a potential prognostic biomarker of sICH.

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BACKGROUND: Amantadine hydrochloride has been increasingly prescribed as a neurostimulant for neurocritical care stroke patients to promote wakefulness during inpatient recovery. However, a lack of guidelines makes it difficult to decide who may benefit from this pharmacotherapy and when amantadine should be initiated during the hospital stay. This study aims to determine some factors that may be associated with favorable response to amantadine to inform future randomized controlled trials of amantadine in critical care or post-critical care stroke patients. METHODS: Retrospective chart review for this study included neurocritical care and post-neurocritical care patients with acute ischemic or hemorrhagic stroke who were started on amantadine (N = 34) in the years 2016-2019. Patients were labeled as either responders or nonresponders of amantadine within 9 days of initiation using novel amantadine scoring criteria utilized and published in Neurocritical Care in the year 2021, which included spontaneous wakefulness and Glasgow Coma Scale (GCS). Amantadine response status and predictive variables were analyzed using nonparametric tests and adjusted multivariable regression models. RESULTS: There were large but nonsignificant variations in the median total milligrams of amantadine received in the first 9 days (IQR = 700-1,450 mg, p = 0.727). GCS on the day before amantadine initiation was significantly higher for responders (median = 12, IQR = 9-14) than nonresponders (median = 9, IQR = 8-10, p = 0.009). Favorable responder status was significantly associated with initiation in the critical care unit versus the step-down unit or the general medical/surgical floor [𝛃=1.02, 95% CI (0.10, 1.93), p = 0.031], but there was no significant associations with hospital day number started [𝛃=-0.003, 95% CI (-0.02, 0.02), p = 0.772]. CONCLUSIONS: Future randomized controlled trials of amantadine in hospitalized stroke patients should possibly consider examining dose-dependent relationships to establish stroke-specific dosing guidelines, minimum GCS threshold for which amantadine is efficacious, and the impact of patients' determined level of acuity on clinical outcomes instead of solely examining the impact of earlier amantadine initiation by hospital day number. Future research with larger sample sizes is needed to further examine these relationships and inform future clinical trials.

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Intracerebral hemorrhage is characterized by the occurrence of hemorrhage at the brain parenchymal region. This causes disruption to blood-brain barrier, cerebral edema, hematoma and microvascular failure which results in neurological dysfunction or even death. The article "Serum secretoneurin as a promising biomarker for predicting poor prognosis in intracerebral hemorrhage: A prospective cohort study" elucidates the potential role of secretoneurin as a promising biomarker for detecting acute brain injury. This is the first report about the significant increase in the level of serum secretoneurin after intracerebral hemorrhage. Authors have demonstrated the correlation of serum secretoneurin levels with the hematoma volume and Glasgow Coma Scale (GCS) scores. The work reported will be beneficial to both clinicians and researchers in determining the relationship between serum secretoneurin levels and intracerebral hemorrhage.

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Intracerebral hemorrhage (ICH) is a severe stroke type with high mortality and disability rates, and traditional prognostic tools like the Glasgow Coma Scale (GCS) have limited predictive power. Emerging research suggests that serum secretoneurin could serve as a promising biomarker for ICH. Elevated secretoneurin levels have been associated with poorer outcomes and may offer more precise prognostic insights compared to conventional methods. This biomarker's potential to enhance outcome prediction underscores the need for further research to validate its efficacy and integrate it into clinical practice. Future studies should also explore additional biomarkers and advanced predictive models.

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Importance: Traumatic brain injury (TBI) is a leading cause of death and disability in children, and predicting functional outcome after TBI is challenging. Magnetic resonance imaging (MRI) is frequently conducted after severe TBI; however, the predictive value of MRI remains uncertain. Objectives: To identify early MRI measures that predict long-term outcome after severe TBI in children and to assess the added predictive value of MRI measures over well-validated clinical predictors. Design, Setting, and Participants: This preplanned prognostic study used data from the Approaches and Decisions in Acute Pediatric TBI (ADAPT) prospective observational comparative effectiveness study. The ADAPT study enrolled 1000 consecutive children (aged <18 years) with severe TBI between February 1, 2014, and September 30, 2017. Participants had a Glasgow Coma Scale (GCS) score of 8 or less and received intracranial pressure monitoring. Magnetic resonance imaging scans performed as part of standard clinical care within 30 days of injury were collected at 24 participating sites in the US, UK, and Australia. Summary imaging measures were correlated with the Glasgow Outcome Scale-Extended for Pediatrics (GOSE-Peds), and the predictive value of MRI measures was compared with the International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT) core clinical predictors. Data collection, image analysis, and data analyses were completed in July 2023. Exposures: Pediatric severe TBI with an MRI scan performed as part of clinical care. Main Outcomes and Measures: All measures were selected a priori. Magnetic resonance imaging measures included contusion, ischemia, diffuse axonal injury, intracerebral hemorrhage, and brainstem injury. Clinical predictors included the IMPACT core measures (GCS motor score and pupil reactivity). All models adjusted for age and sex. Outcome measures included the GOSE-Peds score obtained at 3, 6, and 12 months after injury. Results: This study included 233 children with severe TBI who were enrolled at participating sites and had an MRI scan and preselected clinical predictors available. Their median age was 6.9 (IQR, 3.0-13.3) years, and more than half of participants (134 [57.5%]) were male. In a multivariable model including MRI measures and IMPACT core clinical variables, contusion volume (odds ratio [OR], 1.13; 95% CI, 1.02-1.26), brain ischemia (OR, 2.11; 95% CI, 1.58-2.81), brainstem lesions (OR, 5.40; 95% CI, 1.90-15.35), and pupil reactivity were each independently associated with GOSE-Peds score. Adding MRI measures to the IMPACT clinical predictors significantly improved model fit and discrimination between favorable and unfavorable outcomes compared with IMPACT predictors alone (area under the receiver operating characteristic curve, 0.77; 95% CI, 0.72-0.85 vs 0.67; 95% CI, 0.61-0.76 for GOSE-Peds score >3 at 6 months after injury). Conclusions and Relevance: In this prognostic study of children with severe TBI, the addition of MRI measures significantly improved outcome prediction over well-established and validated clinical predictors. Magnetic resonance imaging should be considered in children with severe TBI to inform prognosis and may also promote stratification of patients in future clinical trials.

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OBJECTIVES: Optimal timing of tracheostomy in severe traumatic brain injury (TBI) is unknown due to lack of clinical trials. We emulated a target trial to estimate the effect of early vs. delayed tracheostomy strategy on functional outcome of patients with severe TBI. DESIGN: Target trial emulation using 1:1 balanced risk-set matching. SETTING: North American hospitals participating in the TBI Hypertonic Saline randomized controlled trial of the Resuscitation Outcomes Consortium. PATIENTS: The prematching population consisted of patients with TBI and admission Glasgow Coma Scale less than or equal to 8, who were alive and on mechanical ventilation on the fourth day following trial enrollment, and stayed in the ICU for at least 5 days. Patients with absolute indication for tracheostomy and patients who died during the first 28 days with a decision to withdraw care were excluded. INTERVENTIONS: We matched patients who received tracheostomy at a certain timepoint (early group) with patients who had not received tracheostomy at the same timepoint but were at-risk of tracheostomy in the future (delayed group). The primary outcome was a poor 6-month functional outcome, defined as Glasgow Outcome Scale-Extended less than or equal to 4. MEASUREMENTS AND MAIN RESULTS: Out of 1282 patients available for analysis, 275 comprised the prematching population, with 75 pairs being created postmatching. Median time of tracheostomy differed significantly in the early vs. the delayed group (7.0 d [6.0-10.0 d] vs. 12.0 d [9.8-18.3 d]; p < 0.001). Only 40% of patients in the delayed group received tracheostomy. There was no statistically significant difference between groups regarding poor 6-month functional outcome (early: 68.0% vs. delayed: 72.0%; p = 0.593). CONCLUSIONS: In a target trial emulation, early as opposed to delayed tracheostomy strategy was not associated with differences in 6-month functional outcome following severe TBI. Considering the limitations of target trial emulations, delaying tracheostomy through a "watchful waiting" approach may be appropriate.

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BACKGROUND: Head trauma is a leading cause of death and disability. While standard treatment protocols exist for severe head trauma, no clear follow-up standards are available for mild head trauma with positive imaging findings in infants and newborns. Although routine follow-up brain computed tomography (CT) imaging is not recommended for children with moderate and mild head trauma, the necessity for follow-up imaging in infants and newborns remains uncertain. METHODS: Our study is a retrospective, observational, and descriptive study. Infants under 1 year old presenting to the emergency department with isolated head trauma were reviewed with the approval of the Ethics Committee of Ankara Etlik City Hospital. Inclusion criteria included presentation to the emergency department, undergoing more than one brain CT scan, and sustaining mild head trauma (Glasgow Coma Scale [GCS] >13). Patients with incomplete follow-up data or multiple traumas were excluded. Age, gender, mechanism of trauma, initial and follow-up brain CT findings, hospital admission, and surgical procedures were recorded and analyzed using the SPSS statistical package. RESULTS: Out of 238 screened patients, 154 were included in the study. Of these, 66.9% were male and the average age was 5.99 months. The most common presenting symptom was swelling at the trauma site, observed in 79.2% of cases. The most common mechanism of injury was falling from a height of less than 90 cm, accounting for 85.1% of cases. Pathological progression on follow-up CT was observed in 5.2% of the patients, and only 1.9% required surgical treatment. A total of 34.4% of the patients required hospitalization. Patients with parenchymal brain pathology had a higher rate of pathological progression on follow-up CT and a longer hospital stay. CONCLUSION: Follow-up CT scans in infants with mild head trauma do not alter patient outcomes except in cases with brain parenchymal pathology. Study data indicated that repeat imaging is not beneficial for isolated skull fractures. Imaging artifacts often necessitated repeated scans, contributing to increased radiation exposure. Unnecessary repeat imaging escalates radiation exposure and healthcare costs. Only a small percentage of patients exhibited progression of intracranial pathology, justifying follow-up imaging solely in the presence of brain parenchymal injury. Larger prospective studies are necessary to confirm these findings.

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BACKGROUND: Gastrointestinal bleeding (GIB) is a common complication of intracerebral hemorrhage (ICH). Rate pressure product (RPP) is an objective hemodynamic index that is closely related to the prognosis of cardia-cerebrovascular disease. The purpose of this study was to investigate the relationship between RPP and GIB in ICH patients. METHODS: We retrospectively analyzed data from ICH patients admitted to the neurosurgery department of Nanchang University affiliated with Ganzhou Hospital from January 2019 to December 2021. The patients were divided into a GIB group and a non-GIB group according to whether they had GIB. Propensity score matching was used to match between the two groups. Univariate analysis was used to select factors affecting GIB, and multivariate conditional logistic regression was used to analyze the independent factors associated with GIB. RESULTS: There were 1232 patients included in the study, including 182 in the GIB group and 1050 in the non-GIB group, and 182 pairs of patients were successfully matched through propensity score matching. The univariate analysis showed that high RPP, low Glasgow coma score (GCS), fibrinogen, D-dimer and PPIs were factors associated with GIB. Multivariate conditional logistic regression showed that high RPP, low GCS and urokinase were independent risk factors for GIB, and PPIs was a protective factor for GIB. CONCLUSIONS: High RPP, low GCS and urokinase were independent risk factors for GIB, and PPIs was a protective factor for GIB. Patients with a high risk of developing GIB should be monitored closely. Nevertheless, multicenter prospective studies with more patients are needed to further validate the results.

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BACKGROUND: Mild traumatic brain injury (mTBI) comprises a majority of traumatic brain injury (TBI) cases. While some mTBI would suffer neurological deterioration (ND) and therefore have poorer prognosis. This study was designed to develop the predictive model for the ND among mTBI using machine learning algorithms. METHODS: mTBI patients recorded in the Medical Information Mart for Intensive Care-III were selected for the study. The ND was defined as a drop of Glasgow Coma Scale ≥ 2 within the first 7 day after admission. Eight machine learning algorithms were trained and validated with 5-fold cross validation including extreme gradient boosting, logistic regression, light gradient boosting machine, random forest, adaptive boosting, decision tree, complement naïve Bayes, and support vector machine. The value of eight machine learning algorithms was compared by the area under the receiver operating characteristic curve (AUC). RESULTS: 361 mTBI patients suffered the ND with the incidence of 30.7%. The ND group had higher 30-day mortality (p = 0.001). In the training cohort of mTBI patients, the random forest performed the best on predicting the ND with the AUC of 1.000. The XGBoost and AdaBoost had an AUC of 0.827 and 0.815, respectively. The logistic regression performed the best on predicting the ND in the validation cohort with the AUC of 0.741. The XGBoost, random forest and AdaBoost had an AUC of 0.729, 0.735, 0.736 in the validation cohort, respectively. After adjusting confounding effects, the multivariate logistic regression found only two independent risk factors for the ND including Sequential Organ Failure Assessment (SOFA) (p < 0.001) and hypertension (p = 0.001). The logistic regression predictive model composed of SOFA and hypertension had an AUC of 0.741. CONCLUSIONS: SOFA score and complicated hypertension are two independent risk factors for the neurological deterioration among mTBI patients. The logistic regression predictive model incorporating SOFA and hypertension is helpful to identify mTBI patients with the high risk of ND.

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Activation of the NOD-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome is a moderating factor between obesity and cognitive impairment in animals, but this has never been tested in humans following mild traumatic brain injury (mTBI). This is a retrospective cohort analysis of subjects enrolled at a single level 1 trauma center (n = 172). Participants completed Trail Making Test Part A and B (TMT-A and B) at six- and twelve-months, Blood samples were obtained within 24 h of mTBI and apoptosis-associated speck-like protein containing a caspase recruitment domain (ASC), caspase-1, interleukin-18 (IL-18), and IL-1ß were assayed. Obese participants (BMI = 30-34.9) were associated with higher IL-18 (p = 0.03) and IL-1ß (p = 0.05) and severely obese participants (BMI > 35.0) were associated with higher IL-1ß (p = 0.005) than healthy weight participants. IL-1ß was associated with TMT-A at six- (p = 0.01) and twelve-months (p = 0.03) and TMT-B at twelve-months (p = 0.046). The interaction of severely obese BMI and IL-1ß was associated with TMT-B at six- (p = 0.049) and twelve-months (p = 0.02). ASC (p = 0.03) and the interaction of ASC with severely obese BMI was associated with TMTB at six- (p = 0.02) and twelve-months (p = 0.02). Obesity may augment acute inflammasome response to mTBI and influence worse long-term cognitive outcomes up to one-year post-injury.

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Early postoperative cerebral infarction (ePCI) is a serious complication of spontaneous intracerebral hemorrhage (SICH). Yet, no study has specifically focused on ePCI among SICH patients. Our study aims to investigate the characteristics, predictors, and outcomes of ePCI observed on computed tomography (CT) within 72 h after surgery in patients with supratentorial SICH. Data from a single-center SICH study conducted from May 2015 to September 2022 were retrospectively analyzed. We described the characteristics of ePCI. Predictors were identified through logistic regression analysis, and the impact of ePCI on six-month mortality was examined using a Cox regression model. Subgroup analyses and the "E-value" approach assessed the robustness of the association between ePCI and mortality. A retrospective analysis of 637 out of 3938 SICH patients found that 71 cases (11.1%) developed ePCI. The majority of ePCI cases occurred on the bleeding side (40/71, 56.3%) and affected the middle cerebral artery (MCA) territory (45/71, 63.4%). Multivariable analysis showed that the Glasgow Coma Scale (GCS) score (odds ratio (OR), 0.62; 95% CI, 0.48-0.8; p < 0.001), bleeding volume (per 100 ml) (OR, 1.17; 95% CI, 1.03-1.32; p = 0.016), hematoma volume (per 10 ml) (OR, 1.14; 95%CI, 1.02-1.28; p = 0.023) and bilateral brain hernia (OR, 6.48; 95%CI, 1.71-24.48; p = 0.006) independently predicted ePCI occurrence. ePCI was significantly associated with increased mortality (adjusted hazard ratio (HR), 3.6; 95% CI, 2.2-5.88; p < 0.001). Subgroup analysis and E-value analysis (3.82-6.66) confirmed the stability of the association. ePCI is a common complication of SICH and can be predicted by low GCS score, significant bleeding, large hematoma volume, and brain hernia. Given its significant increase in mortality, ePCI should be explored in future studies.

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BACKGROUND: Traumatic brain injury is conventionally categorised as mild, moderate, or severe on the Glasgow Coma Scale (GCS). Recently developed biomarkers can provide more objective and nuanced measures of the extent of brain injury. METHODS: Exposure-response relationships were investigated in 2479 patients aged ≥16 enrolled in the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) prospective observational cohort study. Neurofilament protein-light (NFL), ubiquitin carboxy-terminal hydrolase L1 (UCH-L1), and glial fibrillary acidic protein (GFAP) were assayed from serum sampled in the first 24 h; concentrations were divided into quintiles within GCS severity groups. Relationships with the Glasgow Outcome Scale-Extended were examined using modified Poisson regression including age, sex, major extracranial injury, time to sample, and log biomarker concentration as covariates. FINDINGS: Within severity groups there were associations between biomarkers and outcomes after adjustment for covariates: GCS 13-15 and negative CT imaging (relative risks [RRs] from 1.28 to 3.72), GCS 13-15 and positive CT (1.21-2.81), GCS 9-12 (1.16-2.02), GCS 3-8 (1.09-1.94). RRs were associated with clinically important differences in expectations of prognosis. In patients with GCS 3 (RRs 1.51-1.80) percentages of unfavourable outcome were 37-51% in the lowest quintiles of biomarker levels and reached 90-94% in the highest quintiles. Similarly, for GCS 15 (RRs 1.83-3.79), the percentages were 2-4% and 19-28% in the lowest and highest biomarker quintiles, respectively. INTERPRETATION: Conventional TBI severity classification is inadequate and underestimates heterogeneity of brain injury and associated outcomes. The adoption of circulating biomarkers can add to clinical assessment of injury severity. FUNDING: European Union 7th Framework program (EC grant 602150), Hannelore Kohl Stiftung, One Mind, Integra LifeSciences, Neuro-Trauma Sciences, NIHR Rosetrees Trust.

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AIM: To investigate the performance of the 2021 ERC/ESICM-recommended algorithm for predicting poor outcome after cardiac arrest (CA) and potential tools for predicting neurological recovery in patients with indeterminate outcome. METHODS: Prospective, multicenter study on out-of-hospital CA survivors from 28 ICUs of the AfterROSC network. In patients comatose with a Glasgow Coma Scale motor score ≤3 at ≥72 h after resuscitation, we measured: (1) the accuracy of neurological examination, biomarkers (neuron-specific enolase, NSE), electrophysiology (EEG and SSEP) and neuroimaging (brain CT and MRI) for predicting poor outcome (modified Rankin scale score ≥4 at 90 days), and (2) the ability of low or decreasing NSE levels and benign EEG to predict good outcome in patients whose prognosis remained indeterminate. RESULTS: Among 337 included patients, the ERC-ESICM algorithm predicted poor neurological outcome in 175 patients, and the positive predictive value for an unfavourable outcome was 100% [98-100]%. The specificity of individual predictors ranged from 90% for EEG to 100% for clinical examination and SSEP. Among the remaining 162 patients with indeterminate outcome, a combination of 2 favourable signs predicted good outcome with 99[96-100]% specificity and 23[11-38]% sensitivity. CONCLUSION: All comatose resuscitated patients who fulfilled the ERC-ESICM criteria for poor outcome after CA had poor outcome at three months, even if a self-fulfilling prophecy cannot be completely excluded. In patients with indeterminate outcome (half of the population), favourable signs predicted neurological recovery, reducing prognostic uncertainty.

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OBJECTIVE: This study aimed to compare the efficacy of computed tomography (CT)-guided minimally invasive puncture and drainage (MIPD) and craniotomy for hematoma evacuation in the treatment of cerebellar hemorrhage. METHODS: This single-center prospective cohort study was conducted from January 2020 to February 2023. During the study period, 40 patients with cerebellar hemorrhage who underwent CT-guided MIPD treatment were enrolled in the CT-guided MIPD (CTGMIPD) group, and 40 patients with the cerebellar hemorrhage who had a propensity score matching that of the CTGMIPD group and who underwent craniotomy for hematoma evacuation were enrolled in the standard craniotomy (SC) group. The primary outcome indicators were the 6-month mortality of the patients and the proportion of survivors with a modified Rankin Scale (mRS) scores of 1 or 2. The secondary outcome indicators were the cerebellar hematoma volume, National Institutes of Health Stroke Scale (NIHSS) score, Glasgow Coma Scale (GCS) score, incidence of postoperative complications, length of hospital stay, and medical costs. In addition, data concerning the patients who died during the study period were further analyzed. RESULTS: At the 6-month follow-up, there was no significant difference in mortality between the two groups, although the proportion of patients with an mRS scores of 1 or 2 was significantly higher in the CTGMIPD group when compared with the SC group (P = 0.015). No significant differences were observed in the hematoma volume, NIHSS score, and GCS score between the two groups. By contrast, the incidence of postoperative complications, length of hospital stay, and medical costs were significantly lower in the CTGMIPD group than in the SC group (all P < 0.05). When compared with the SC group, the proportion of dead patients with a hematoma volume greater than 30 ml was higher in the CTGMIPD group (P = 0.03). Moreover, after stratification of the patients with a preoperative GCS score ≤8, the CTGMIPD group had a significantly higher mortality rate than the SC group (P = 0.04). CONCLUSION: The efficacy of CT-guided MIPD in the treatment of cerebellar hemorrhage is close to that of craniotomy for hematoma excavation, although the complication and disability rates of the former are significantly lower than those of the latter. When the preoperative hematoma volume is less than 30 mL or the preoperative GCS score is greater than 8, CT-guided MIPD represents a better choice for the treatment of cerebellar hemorrhage than craniotomy for hematoma evacuation.

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BACKGROUND: A nomogram is a visualized clinical prediction models, which offer a scientific basis for clinical decision-making. There is a lack of reports on its use in predicting the risk of arrhythmias in trauma patients. This study aims to develop and validate a straightforward nomogram for predicting the risk of arrhythmias in trauma patients. METHODS: We retrospectively collected clinical data from 1119 acute trauma patients who were admitted to the Advanced Trauma Center of the Affiliated Hospital of Zunyi Medical University between January 2016 and May 2022. Data recorded included intra-hospital arrhythmia, ICU stay, and total hospitalization duration. Patients were classified into arrhythmia and non-arrhythmia groups. Data was summarized according to the occurrence and prognosis of post-traumatic arrhythmias, and randomly allocated into a training and validation sets at a ratio of 7:3. The nomogram was developed according to independent risk factors identified in the training set. Finally, the predictive performance of the nomogram model was validated. RESULTS: Arrhythmias were observed in 326 (29.1%) of the 1119 patients. Compared to the non-arrhythmia group, patients with arrhythmias had longer ICU and hospital stays and higher in-hospital mortality rates. Significant factors associated with post-traumatic arrhythmias included cardiovascular disease, catecholamine use, glasgow coma scale (GCS) score, abdominal abbreviated injury scale (AIS) score, injury severity score (ISS), blood glucose (GLU) levels, and international normalized ratio (INR). The area under the receiver operating characteristic curve (AUC) values for both the training and validation sets exceeded 0.7, indicating strong discriminatory power. The calibration curve showed good alignment between the predicted and actual probabilities of arrhythmias. Decision curve analysis (DCA) indicated a high net benefit for the model in predicting arrhythmias. The Hosmer-Lemeshow goodness-of-fit test confirmed the model's good fit. CONCLUSION: The nomogram developed in this study is a valuable tool for accurately predicting the risk of post-traumatic arrhythmias, offering a novel approach for physicians to tailor risk assessments to individual patients.

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Objectives: To characterize the epidemiology of simultaneous traumatic brain injury (TBI) and ocular trauma. Materials and Methods: In this retrospective, observational study, de-identified data from patients admitted with ocular trauma and TBI was extracted from the National Trauma Data Bank (2008-2014) using International Classification of Diseases 9th Revision, Clinical Modification diagnostic codes and E-codes relating to injury circumstances. Mechanisms, types of ocular and head injuries, intention, and demographic distribution were determined. Association of variables was calculated with Student's t and chi-squared tests and logistic regression analysis. Results: Of 316,485 patients admitted with ocular trauma, 184,124 (58.2%) also had TBI. The mean (standard deviation [SD]) age was 41.8 (23) years. Most were males (69.8%). Race/ethnicity distribution was 68.5% white, 13.3% black, and 11.4% Hispanic patients. The mean (SD) Glasgow Coma Score (GCS) was 12.4 (4.4) and Injury Severity Score (ISS) was 17 (10.6). Frequent injuries were orbital fractures (49.3%) and eye/adnexa contusions (38.3%). Common mechanisms were falls (27.7%) and motor vehicle-occupant (22.6%). Firearm-related trauma (5.2%) had the greatest odds of very severe injury (ISS >24) (odds ratio [OR]: 4.29; p<0.001) and severe TBI (GCS <8) (OR: 5.38; p<0.001). Assault injuries were associated with the greatest odds of mild TBI (OR: 1.36; p<0.001) and self-inflicted injuries with severe TBI (OR: 8.06; p<0.001). Eye/adnexal contusions were most associated with mild TBI (OR: 1.25; p<0.001). Optic nerve/visual pathway injuries had greater odds of severe TBI (OR: 2.91; p<0.001) and mortality (OR: 2.27; p<0.001) than other injuries. Of associated head injuries, the odds of severe TBI were greatest with skull base fractures (OR: 4.07; p<0.001) and mortality with intracerebral hemorrhages (OR: 4.28; p<0.001). Mortality occurred in 5.9% of patients. Conclusion: TBI occurred in nearly two-thirds of ocular trauma admissions. The mortality rate was low with implications for challenging rehabilitation and long-term disability in survivors.

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Importance: Because withdrawal of life-sustaining therapy based on perceived poor prognosis is the most common cause of death after moderate or severe traumatic brain injury (TBI), the accuracy of clinical prognoses is directly associated with mortality. Although the location of brain injury is known to be important for determining recovery potential after TBI, the best available prognostic models, such as the International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT) score, do not currently incorporate brain injury location. Objective: To test whether automated measurement of cerebral hemorrhagic contusion size and location is associated with improved prognostic performance of the IMPACT score. Design, Setting, and Participants: This prognostic cohort study was performed in 18 US level 1 trauma centers between February 26, 2014, and August 8, 2018. Adult participants aged 17 years or older from the US-based Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study with moderate or severe TBI (Glasgow Coma Scale score 3-12) and contusions detected on brain computed tomography (CT) scans were included. The data analysis was performed between January 2023 and February 2024. Exposures: Labeled contusions detected on CT scans using Brain Lesion Analysis and Segmentation Tool for Computed Tomography (BLAST-CT), a validated artificial intelligence algorithm. Main Outcome and Measure: The primary outcome was a Glasgow Outcome Scale-Extended (GOSE) score of 4 or less at 6 months after injury. Whether frontal or temporal lobe contusion volumes improved the performance of the IMPACT score was tested using logistic regression and area under the receiver operating characteristic curve comparisons. Sparse canonical correlation analysis was used to generate a disability heat map to visualize the strongest brainwide associations with outcomes. Results: The cohort included 291 patients with moderate or severe TBI and contusions (mean [SD] age, 42 [18] years; 221 [76%] male; median [IQR] emergency department arrival Glasgow Coma Scale score, 5 [3-10]). Only temporal contusion volumes improved the discrimination of the IMPACT score (area under the receiver operating characteristic curve, 0.86 vs 0.84; P = .03). The data-derived disability heat map of contusion locations showed that the strongest association with unfavorable outcomes was within the bilateral temporal and medial frontal lobes. Conclusions and Relevance: These findings suggest that CT-based automated contusion measurement may be an immediately translatable strategy for improving TBI prognostic models.

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This is an interim analysis of the Beta-blocker (Propranolol) use in traumatic brain injury (TBI) based on the high-sensitive troponin status (BBTBBT) study. The BBTBBT is an ongoing double-blind placebo-controlled randomized clinical trial with a target sample size of 771 patients with TBI. We sought, after attaining 50% of the sample size, to explore the impact of early administration of beta-blockers (BBs) on the adrenergic surge, pro-inflammatory cytokines, and the TBI biomarkers linked to the status of high-sensitivity troponin T (HsTnT). Patients were stratified based on the severity of TBI using the Glasgow coma scale (GCS) and HsTnT status (positive vs negative) before randomization. Patients with positive HsTnT (non-randomized) received propranolol (Group-1; n = 110), and those with negative test were randomized to receive propranolol (Group-2; n = 129) or placebo (Group-3; n = 111). Propranolol was administered within 24 h of injury for 6 days, guided by the heart rate (> 60 bpm), systolic blood pressure (≥ 100 mmHg), or mean arterial pressure (> 70 mmHg). Luminex and ELISA-based immunoassays were used to quantify the serum levels of pro-inflammatory cytokines (Interleukin (IL)-1ß, IL-6, IL-8, and IL-18), TBI biomarkers [S100B, Neuron-Specific Enolase (NSE), and epinephrine]. Three hundred and fifty patients with comparable age (mean 34.8 ± 9.9 years) and gender were enrolled in the interim analysis. Group 1 had significantly higher baseline levels of IL-6, IL-1B, S100B, lactate, and base deficit than the randomized groups (p = 0.001). Group 1 showed a significant temporal reduction in serum IL-6, IL-1ß, epinephrine, and NSE levels from baseline to 48 h post-injury (p = 0.001). Patients with severe head injuries had higher baseline levels of IL-6, IL-1B, S100B, and HsTnT than mild and moderate TBI (p = 0.01). HsTnT levels significantly correlated with the Injury Severity Score (ISS) (r = 0.275, p = 0.001), GCS (r = - 0.125, p = 0.02), and serum S100B (r = 0.205, p = 0.001). Early Propranolol administration showed a significant reduction in cytokine levels and TBI biomarkers from baseline to 48 h post-injury, particularly among patients with positive HsTnT, indicating the potential role in modulating inflammation post-TBI.Trial registration: ClinicalTrials.gov NCT04508244. It was registered first on 11/08/2020. Recruitment started on 29 December 2020 and is ongoing. The study was partly presented at the 23rd European Congress of Trauma and Emergency Surgery (ECTES), April 28-30, 2024, in Estoril, Lisbon, Portugal.

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INTRODUCTION: The aim of the study was to explore the value of serum procalcitonin to albumin (PCT/ALB) and C-reactive protein to albumin (CRP/ALB) ratios in evaluating the condition and prognosis of craniocerebral trauma (CT). MATERIAL AND METHODS: 158 patients with CT admitted to the emergency department of our hospital from January 2020 to June 2022 were selected as the study subjects. According to the Glasgow coma scale (GCS) score, 158 patients with CT were grouped in a mild group (GCS score 13-15 points, n = 68), a moderate group (GCS score 9-12 points, n = 61), and a severe group (GCS score 3-8 points, n = 29). Besides, according to the patient's Glasgow prognosis (GOS) score, 158 patients with CT were divided into a good prognosis group (GOS score 4-5 points, n = 110) and a poor prognosis group (GOS score 1-3 points, n = 48). Serum PCT/ALB and CRP/ALB levels of different groups were compared. The correlation between PCT/ALB and CRP/ALB ratios and the score of GCS and GOS was explored using Pearson correlation analysis. Prognosis-related influencing factors were found out through multivariate logistic regression. The value of serum PCT/ALB and CRP/ALB ratios in evaluating the condition and prognosis of CT was evaluated by the ROC curve. RESULTS: Patients in the moderate and severe groups had much higher ratios of PCT/ALB and CRP/ALB and sharply lower GCS scores than those in the mild group ( p < 0.001). Compared with the patients in the moderate group, those in the severe group had much higher PCT/ALB and CRP/ALB ratios and obviously lower GCS scores ( p < 0.001). Patients with poor prognosis had markedly higher PCT/ALB and CRP/ALB ratios and memorably lower GOS score than the patients with good prognosis ( p < 0.001). A negative correlation between PCT, CRP, PCT/ALB ratio, CRP/ALB ratio and GCS scores ( r = -0.821, -0.857, -0.750, -0.766, p < 0.001) and GOS scores ( r = -0.636, -0.628, -0.595, -0.628, p < 0.001) was revealed by Pearson correlation analysis. ALB was correlated positively with GCS score and GOS score ( r = 0.381, 0.413, p < 0.001). Multivariate logistic regression analysis exhibited that PCT/ALB ratio and CRP/ALB ratio were related to poor prognosis of CT patients ( p < 0.05). ROC curve analysis showed that the combined PCT/ALB ratio and CRP/ALB area under the curve (AUC) were 0.883 and 0.860, respectively, which were used to assess the severity and predict prognosis of patients with CT. CONCLUSIONS: PCT/ALB and CRP/ALB ratios were positively correlated with the severity and prognosis of patients with CT, and were risk factors for poor prognosis. Early determination of changes in PCT/ALB and CRP/ALB ratios had a certain clinical value for evaluating the condition and prognosis of CT patients.

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