Objective To investigate the clinical efficacy of CT-guided drilling,hematoma aspiration and drainage for senile cerebellar hemorrhage.Methods A retrospective analysis was performed on 89 very old patients(75-89 years old)with cerebellar hemorrhage admitted to our hospital from January 2016 to December 2022.According to their wishes,different surgical treatments were adopted,and thus they were divided into puncture group(42 cases,CT-guided drilling,aspi-ration and drainage for hematoma)and craniotomy group(47 cases,craniotomy).GCS,preopera-tive hematoma volume,length of ICU stay,postoperative complications,mortality rate and the mRS score in 3 months postoperatively in the survival were compared between the 2 groups.Re-sults There were no significant differences in age,male ratio,GCS score,preoperative hematoma volume,recurrence rate at 24 h postoperatively and mortality rate at 3 months postoperatively be-tween 2 groups(P＞0.05).The puncture group had significantly shorter length of ICU stay(7.10±1.43 dvs 8.87±1.39 d,P=0.000)and lower intracranial infection rate(4.76％vs 19.15％,P=0.040)than the craniotomy group.In 3 months of follow-up after surgery,the rate of good mRS score was higher in the puncture group than the craniotomy group,and the mRS score was lower in the former group than the latter one(P＜0.05).Conclusion CT-guided drilling,aspiration and drainage for hematoma can reduce the infection rate and improve the prognosis,and is an effective approach in the treatment of patients over 75 years old with cerebellar hemorrhage.

Objective:To establish a novel decision tree-based algorithm in complete Kawasaki disease(cKD)and evaluate its diagnostic value in incomplete Kawasaki disease(iKD)and pediatric infectious disease(IF)with common clinical characteristics, which facilitates early and accurate diagnosis of iKD.Methods:Based on inclusion criteria of KD and IF, clinical and laboratory data of patients with cKD, iKD and IF from Shanghai Children′s Medical Center between December 2018 and December 2019 were collected.The training data set included cKD and random half number of IF patients, and validation data was constituted with iKD and the rest of IF patients.The decision tree algorithm analysis was performed in training data set to generate a clinical diagnostic panel for cKD.Finally, the decision tree-based algorithm was verified and evaluated among the iKD patients.Results:A single statistical analysis was performed on 26 examination indexes of constructing decision tree-based algorithm.It was found that 16 examination indexes were obviously different between cKD and IF patients, and 17 examination indexes were significantly different between iKD and IF patients.According to date set of cKD and IF patients, the decision tree-based algorithm was established.The erythrocyte sedimentation rate>35mm/h, N-terminal atrial brain natriuretic peptide precursor≥315 pg/ml, CD3 -/CD19 + %≥21%, and the amount of neutrophil≥8.5×10 9/L were constructed as key elements.The algorithm had a sensitivity of 0.947 and a specificity of 0.963, and correctly classified subjects with iKD who were difficult to be distinguished from patients with IF. Conclusion:A decision tree-based algorithm based on the examination indexes of cKD is one of the effective methods to identify iKD and IF, which provides strong support for the early clinical diagnosis of iKD.