Objective To construct a logistic regression prediction model for stress ulcer(SU)after cerebral hemorrhage.Methods A total of 230 patients with cerebral hemorrhage admitted to our hospital from January 2020 to January 2023 were prospectively selected as the study subjects.They were randomly di-vided into a training group and a validation group using a random number table method,with 115 patients in each group.The incidence of postoperative SU was statistically compared between the two groups.The least absolute shrinkage and selection operator(Lasso)and logistic regression were used to analyze the influencing factors of SU after cerebral hemorrhage,and a logistic regression prediction model was established and valida-ted.Results The incidence of SU was 19.13%in the training group and 20.00%in the validation group.In-crement of age,blood loss≥30 mL,higher levels of neutrophil-to-lymphocyte ratio(NLR),heat shock protein 70(HSP70)and HSP90 were identified as independent risk factors for SU after cerebral hemorrhage(P<0.05),while lower levels of Glasgow Coma Scale(GCS)score and albumin(Alb)were protective factors(P<0.05).The prediction model was logit(P)=0.409×age+1.288×blood loss-1.335×GCS score-1.126×Alb+0.452×NLR+1.483×HSP70+1.593×HSP90-10.325.The areas under the receiver operat-ing characteristic(ROC)curve(AUC)for the training group and the validation group were 0.845(95%CI:0.765-0.906)and 0.855(95%CI:0.777-0.913),respectively.The sensitivities were 81.82%and 90.91%,and the specificities were 76.34%and 70.97%,respectively.Conclusion A logistic regression prediction model was successfully constructed,which has certain predictive value for SU after cerebral hemorrhage.

Objective To explore the construction, application advantages and values of the ECG network system under Wise Information Technology.Methods A total of 240 patients enrolled in Department of Neurology, the First Affiliated Hospital of Wenzhou Medical University from March 2016 to May 2016 were randomly divided into two groups: conventional ECG group (control group) and network ECG group (experimental group), with 120 cases respectively. The ECG test time and satisfaction of patients and nurses were compared between two groups.Results Compared with the conventional ECG group, patients in network ECG group took less time to have an ECG examination, which decreased from an average of 33.32 min to 9.59 min. And the time required for nurses decreased from an average of 10.27 min to 4.82 min. The differences were statistically significant (P<0.001). Patients' satisfaction increased from 89.8% to 99.5%, while medical staff's satisfaction increased from 91.5% to 99.3%. The differences were statistically significant (P<0.001). Conclusions Network ECG examination greatly reduces the waste of human resources and saves operating costs, enhances the health care staff satisfaction and is worth further promotion in the clinical application.