Chunyu Gu

Background: Based on the literature and data on its clinical trials, the incidence of venous thromboembolism (VTE) in patients undergoing neurosurgery has been 3.0%~26%. We used advanced machine learning techniques and statistical methods to provide a clinical prediction model for VTE after neurosurgery. Methods: All patients (n = 5867) who underwent neurosurgery from the development and retrospective internal validation cohorts were obtained from May 2017 to April 2022 at the Department of Neurosurgery at the Sanbo Brain Hospital. The clinical and biomarker variables were divided into pre-, intra-, and postoperative. A univariate logistic regression (LR) was applied to explore the 67 candidate predictors with VTE. We used a multivariable logistic regression (MLR) to select all significant MLR variables of MLR to build the clinical risk prediction model. We used a random forest to calculate the importance of significant variables of MLR. In addition, we conducted prospective internal (n = 490) and external validation (n = 2301) for the model. Results: Eight variables were selected for inclusion in the final clinical prediction model: D-dimer before surgery, activated partial thromboplastin time before neurosurgery, age, craniopharyngioma, duration of operation, disturbance of consciousness on the second day after surgery and high dose of mannitol, and highest D-dimer within 72 h after surgery. The area under the curve (AUC) values for the development, retrospective internal validation, and prospective internal validation cohorts were 0.78, 0.77, and 0.79, respectively. The external validation set had the highest AUC value of 0.85. Conclusions: This validated clinical prediction model, including eight clinical factors and biomarkers, predicted the risk of VTE following neurosurgery. Looking forward to further research exploring the standardization of clinical decision-making for primary VTE prevention based on this model.

Introduction: Tumors of the pineal region are rare, and metastatic carcinoma occurring in the pineal region is extremely rare. No previous reports have described pineal region metastasis with intraventricular seeding. Patient concerns: We report a case of a 51-year-old woman presented with a 1-week history of severe headache, nausea, and vomiting. Imaging examination revealed 2 lesions in the pineal region and the right lateral ventricle. Diagnosis: Pinealocytoma or germinoma was considered as the preoperative diagnosis. The postoperative pathological diagnosis was small cell neuroendocrine carcinoma. After bronchoscopic biopsy, small cell lung cancer was confirmed. Interventions: A right frontal craniotomy and a translateral ventricle approach were performed to remove 2 lesions completely. And regular radiotherapy and chemotherapy were initiated after surgery. Outcomes: The patient was discharged from the hospital 2 weeks after operation and went to another cancer hospital for bronchoscopic biopsy, radiotherapy, and chemotherapy. Finally, the patient died 2 years after surgical treatment. Conclusion: Metastatic tumors of the pineal region are very rare. For patients with pineal lesions, a diagnosis of a metastatic tumor should be considered. Retrograde cerebrospinal fluid circulation might be the reason for a secondary metastasis.