Objective To monitor epidemiological distribution and antibiotic resistance of bacteria isolated from cerebral spinal fluid in neurosurgically treated patients. Methods Bacteria isolated from cerebral spinal fluid specimens and antibiotic resistance identification results of patients admitted into our department from January 2003 to December 2007 were collected to analyze distribution and antibiotic resistance of the pathogens. Results Of 437 isolates, Gram-positive bacilli and Gram-negative bacilli accounted for 73.5% (321 isolates) and 26.5% ( 116 isolates), respectively. The first five most fre-quently isolated pathogens were staphylococcus epidermidis (55.6%), staphylococcus aurens (15. 3% ), enterobacter (6.6%), aeinetobacter (5.3%) and pseudomonas aeruginosa (3.0%). The anti-bacterials with highest susceptibility to Gram-negative bacilli were imipenem ( 83.9% ), amikacin ( 68. 8% ), ciprofloxacin and tobramycin (67.4%), cefepime (61.3%) and ceftazidime (69.2%). The other antibacterials had susceptibility of less than 60%. Conclusions The prevailing pathogens in post-operative intracranial infection are Gram-pnsitive bacilli, especially staphylococcus epidermidis and staphylococcus anreu. Data collected in present study may provide valuable information for prophylactic and empirical antibiotic use in post-operative intracranial infection.

Medical imaging is an interdisciplinary subject closely related to clinical and pathological subject. Its clinical reading skills' training has become the focus of postgraduate teaching. In the process of clinical teaching, the interactive reading mode of problem-based learning (PBL) combined with multi-disci-plinary team (MDT) was introduced into clinical reading meeting. The tutors chose the reading cases proved by pathology; designed in-depth issues step by step for execution of PBL teaching; guided postgraduates to delineate imaging signs and propose the diagnostic results, evidences and differential diagnoses according to the step from localizing to qualitative and then to pathological diagnosis;then guided postgraduates to attend in-depth case analysis of MDT and analyze the correlation or inconsistency between the imaging diagnosis and clinical and pathological diagnosis; exercise document retrieval and verbalization, multimedia design, and writing level of the records of the reading cases and papers. The interactive reading mode of PBL com-bined with MDT has achieved significant effects, which is worthy of further exploration and promotion.

Objective To explore the influencing factors of poor prognosis after clipping in patients with ruptured intracranial aneurysm and hematoma,and to construct a clinical prediction model.Methods A total of 151 patients with aneurysmal intracranial hematoma in Dongyang People's Hospital were selected from September 2017 to October 2023.3 months after operation,the patients were grouped by modified Rankin scale(mRS),with 93 cases in good prognosis group and 58 cases in poor prognosis group.Univariate analysis and multivariate Logistic regression analysis were used to explore the risk factors affecting the poor prognosis of patients with postoperative prognosis,and a poor prognostic prediction model for patients with intracranial aneurysm rupture and hematoma clamping was constructed,the discriminant validity of the area under the curve(AUC)was evaluated,and the fit of the model was established using the Hosmer-Lemeshow test.Results The Hunt-Hess gradeⅣ-Ⅴ(OR=5.339),modified Fisher grade Ⅲ-Ⅳ(OR=5.145),hematoma volume≥ 50ml(OR=7.426),hematoma clearance rate was≤50％(OR=8.381),size of the responsible aneurysm＞5mm(OR=3.053),operation time window＞5h(OR=2.659),and intraoperative vascular operation time＞3h(OR=2.305)were independent risk factors for poor prognosis after clipping in patients with intracranial aneurysm ruptured and intracranial hematoma(P＜0.05).The AUC of the poor prognosis prediction model of patients with intracranial aneurysm rupture with hematoma after clipping was 0.863(95％CI:0.781-0.946,P＜0.001),the specificity was 79.6％,the sensitivity was 86.2％,and the prediction accuracy was 82.1％.Hosmer-Lemeshow testx2=5.778,P=0.679,and there was no significant difference between the predicted value of the model and the actual observed value.Conclusion Hunt-Hess grade Ⅳ-Ⅴ,the modified Fisher grade Ⅲ-Ⅳ,hematoma volume≥50ml,hematoma clearance rate≤50％,responsible aneurysm size＞5mm,operation time window＞5h,and intraoperative vascular operation time＞3h were independent risk factors for poor prognosis after clipping in patients with intracranial aneurysm ruptured.The model constructed in this study has high predictive performance and can provide guidance for the treatment and postoperative recovery of patients undergoing craniotomy and clipping surgery in clinical practice.