A nomogram for predicting the possibility of effusion deterioration in patients with traumatic subdural effusion.

BACKGROUND: Traumatic subdural effusion (TSDE) may increase progressively or evolve into chronic subdural hematoma. These events, defined as deterioration of the effusion, often require close observation or even surgical treatment. The aim of our study was to develop and validate a nomogram for predicting the possibility of an effusion deteriorating in patients with TSDE based on the available clinical characteristics. METHODS: Clinical data from 78 patients with TSDE were retrospectively analyzed. All patients were admitted from January 2019 to May 2022. Logistic regression was applied to the data to screen for independent predictors of effusion deterioration within six months; then, a predictive nomogram model was established in R language. The consistency, predictive accuracy and clinical utility of the model were evaluated with the C-index, calibration plots, ROC curves and decision curve analysis (DCA). Furthermore, we performed internal validation using a bootstrap approach to assess the effectiveness of the model. RESULTS: Time of effusion after trauma, maximum thickness of the effusion, CT value of the effusion as well as the use of atorvastatin were identified as predictors in the nomogram. The predictive model was well calibrated and demonstrated good discrimination (C-index: 0.893). The AUC of the model was 0.893 (95% CI: 0.824-0.962), and the modified C-index (0.865) indicated excellent performance in the internal validation. In addition, DCA revealed that the nomogram had clinical value. CONCLUSIONS: This predictive model can effectively assess the risk of effusion deterioration in TSDE patients within six months and identify high-risk patients early.

Transcranial Magnetic Stimulation in Disorders of Consciousness: An Update and Perspectives.

Disorders of consciousness (DOC) is a state in which consciousness is affected by brain injuries, leading to dysfunction in vigilance, awareness, and behavior. DOC encompasses coma, vegetative state, and minimally conscious state based on neurobehavioral function. Currently, DOC is one of the most common neurological disorders with a rapidly increasing incidence worldwide. Therefore, DOC not only impacts the lives of individuals and their families but is also becoming a serious public health threat. Repetitive transcranial magnetic stimulation (rTMS) can stimulate electrical activity using a pulsed magnetic field in the brain, with great value in the treatment of chronic pain, neurological diseases, and mental illnesses. However, the clinical application of rTMS in patients with DOC is debatable. Herein, we report the recent main findings of the clinical therapeutics of rTMS for DOC, including its efficacy and possible mechanisms. In addition, we discuss the potential key parameters (timing, location, frequency, strength, and secession of rTMS applications) that affect the therapeutic efficiency of rTMS in patients with DOC. This review may help develop clinical guidelines for the therapeutic application of rTMS in DOC.

Primary intraosseous meningioma with subcutaneous and dural invasion: A case report and literature review.

Primary intraosseous meningiomas (PIOMs) are a rare subset of meningiomas, comprising fewer than 1% of all such tumors. Furthermore, PIOMs presenting as osteogenic lesions that invade both the dura and subcutaneous tissue are extremely rare. Unlike intracranial meningiomas, diagnosing and treating PIOMs are challenges due to their insidious clinical behavior and a lack of clear radiological diagnostic criteria. We report the case of a 60-year-old female with headache and a slightly outward protrusion of the parietal region of the skull. CT showed an osteogenic lesion in the right parietal bone. MR imaging indicated mild to moderate homogeneous enhancement with an intense dural reaction. The suggested clinical diagnosis was lymphoma, so we performed a skull biopsy, which revealed an intraosseous benign meningioma. A precise resection strategy was planned with a neuronavigation system accompanied by a one-step customized titanium mesh cranioplasty. The lesion was completely removed, and pathological analysis confirmed a meningothelial meningioma (WHO Grade I) of intraosseous layer origin invading the dura mater and subcutaneous tissue. This case highlights the need for an initial biopsy when the lesion is difficult to diagnose on imaging. Complete resection should be attempted to minimize the risk of recurrence.

Development and validation of a prediction nomogram for a 6-month unfavorable prognosis in traumatic brain-injured patients undergoing primary decompressive craniectomy: An observational study.

Objective: This study was designed to develop and validate a risk-prediction nomogram to predict a 6-month unfavorable prognosis in patients with traumatic brain-injured (TBI) undergoing primary decompressive craniectomy (DC). Methods: The clinical data of 391 TBI patients with primary DC who were admitted from 2012 to 2020 were reviewed, from which 274 patients were enrolled in the training group, while 117 were enrolled in the internal validation group, randomly. The external data sets containing 80 patients were obtained from another hospital. Independent predictors of the 6-month unfavorable prognosis were analyzed using multivariate logistic regression. Furthermore, a nomogram prediction model was constructed using R software. After evaluation of the model, internal and external validations were performed to verify the efficiency of the model using the area under the receiver operating characteristic curves and the calibration plots. Results: In multivariate analysis, age(p = 0.001), Glasgow Score Scale (GCS) (p < 0.001), operative blood loss of >750 ml (p = 0.045), completely effaced basal cisterns (p < 0.001), intraoperative hypotension(p = 0.001), and activated partial thromboplastin time (APTT) of >36 (p = 0.012) were the early independent predictors for 6-month unfavorable prognosis in patients with TBI after primary DC. The AUC for the training, internal, and external validation cohorts was 0.93 (95%CI, 0.89-0.96, p < 0.0001), 0.89 (95%CI, 0.82-0.94, p < 0.0001), and 0.90 (95%CI, 0.84-0.97, p < 0.0001), respectively, which indicated that the prediction model had an excellent capability of discrimination. Calibration of the model was exhibited by the calibration plots, which showed an optimal concordance between the predicted 6-month unfavorable prognosis probability and actual probability in both training and validation cohorts. Conclusion: This prediction model for a 6-month unfavorable prognosis in patients with TBI undergoing primary DC can evaluate the prognosis accurately and enhance the early identification of high-risk patients.