1.Analysis on risk factors for hydrocephalus after traumatic brain injury
Xianjian HUANG ; Chuwei WU ; Junfeng ZOU ; Jie GAO ; Yuqiang MA ; Jun LIU ; Jiehua ZHANG ; Dongliang ZHU
Chinese Journal of Trauma 2019;35(3):216-220
Objective To investigate the risk factors for post-traumatic hydrocephalus ( PTH) after traumatic brain injury ( TBI ) . Methods A retrospective case control analysis was made on the clinical data of 794 patients with acute TBI admitted to Shenzhen Second People's Hospital between January 2007 and January 2017. There were 639 males and 155 females, aged 1-90 years [(40. 5 ± 18. 6)years]. All patients were followed up for 1 years, and the patients were divided into PTH group (n=46) and non-PTH group (n=748) according to their prognosis. The following information including Glasgow coma score ( GCS ) on admission, pupil reflex, midline shift and cistern compression, subarachnoid hemorrhage ( SAH ) , operation method, decompressive craniectomy, hydrocephalus after operation, intracranial infection, timing of cranioplasty were analyzed using univariate analysis and Logistic regression. Results PTH occurred in 46 patients (5. 8%). Univariate analysis showed that GCS, midline shift, decompressive craniectomy, subdural effusion, timing of cranioplasty and SAH were significantly related to PTH (P<0. 05 or 0. 01). Logistic regression identified low GCS (OR=3. 778), decompressive craniectomy (OR=2. 508), subdural effusion (OR=2. 269), timing of cranioplasty (≥3 months)(OR=10. 478) and SAH (OR=23. 391) as the independent risk factors for PTH (P<0. 05 or 0. 01). Conclusion PTH is a common serious complication of traumatic brain injury, affected by low GCS, decompressive craniectomy, subdural effusion, delayed cranioplasty and SAH.
2.Cluster management in secondary hydrocephalus
Jun LIU ; Xianjian HUANG ; Jie GAO ; Xiaosong SHA ; Jiehua ZHANG ; Dongliang ZHU ; Chuwei WU ; Gaojian SU
Chinese Journal of Neuromedicine 2023;22(5):507-512
Objective:To explore the clinical value of cluster management in secondary hydrocephalus.Methods:Seventy-seven patients with secondary hydrocephalus admitted to Department of Neurosurgery, Shenzhen Second People's Hospital from January 2016 to June 2021 were chosen; they were divided into traditional management group ( n=30) and cluster management group ( n=47) according to different management methods. Patients in traditional management group accepted craniocerebral CT and 3 consecutive times of cerebrospinal fluid tests, and normal results were achieved and then ventriculoperitoneal shunt (VPS) was performed. In patients from the cluster management group, on the basis of management treatment, cranial plain and enhanced MRI and DNA metagenomic next generation sequencing of cerebrospinal fluid were performed before surgery, and rapid test of cerebrospinal fluid and ventriculoscope observation were performed during surgery; after exclusion of intracranial infection, VPS was performed. The differences of shunt failure rate were compared between the two groups and the positive rates of intracranial infection detected by above 4 methods were compared in the cluster management group. Results:There was significant difference in shunt failure rate between the cluster management group and traditional management group (2.1% vs. 20.0%, P<0.05). The positive rates of intracranial infection by DNA metagenomics (61.7%) and ventriculoscopy (68.1%) were significantly higher than those by preoperative cranial plain and enhanced MRI (14.9%) and rapid test of cerebrospinal fluid (6.4%, P<0.05). Conclusion:Cluster management can effectively decrease the VPS failure rate in secondary hydrocephalus; DNA metagenomics and ventriculoscopy have high efficiency in detecting intracranial infection.
3.Investigation on the history of low-energy fractures and analysis of risk factors in elderly patients with hip fractures at the local
Xuan WU ; Xiangxu CHEN ; Chuwei TIAN ; Liyong BAI ; Yingjuan LI ; Jihong ZOU ; Liqun REN ; Hui CHEN ; Yunfeng RUI
Chinese Journal of Geriatrics 2023;42(11):1326-1329
Objective:To analyze the characteristics and risk factors of previous low-energy fractures in elderly patients with hip fractures admitted to our hospital.Methods:The data for this study was collected from 596 hip fracture patients admitted to Zhongda Hospital Affiliated to Southeast University between January 2018 and December 2021.Out of these patients, there were 404 females and 192 males.Based on the history of low-energy fracture before hip fracture, the patients were divided into two groups: a low-energy fracture group and a non-low-energy fracture group.A comparison was made between the two groups in terms of gender, age, fracture type, BMI, number of combined medical diseases, ASA score, and other characteristics.Results:The study included a total of 596 patients, with 368 patients having no history of low-energy fractures and 228 patients with low-energy fractures.Among the patients with low-energy fractures, there were 118 vertebral fractures, 69 hip fractures, 57 rib fractures, 19 radial fractures, 14 humerus fractures, and 12 patella fractures.Univariate analysis revealed significant differences in age, gender, fracture type, number of combined medical diseases, and ASA score between the two groups( P<0.05 for all). The results of multivariate Logistic analysis indicated that age( OR=1.046, 95% CI: 1.022-1.070), female sex( OR=1.474, 95% CI: 1.011-2.148), and the number of comorbid medical diseases( OR=1.211, 95% CI: 1.113-1.318)were independent risk factors for patients with a history of low-energy fractures. Conclusions:Our findings provide evidence that vertebral, hip, and rib fractures were the three most common previous low-energy fractures in elderly patients with hip fractures.We identified age, female gender, and number of medical diseases as independent risk factors for prior low-energy fractures in this population.