Objective To investigate the effect of triglyceride-glucose index(TyG)on the short-term prognosis of patients with initial acute ischemic stroke.Methods A total of 391 patients with initial acute ischemic stroke who were hospitalized in Kunshan Second People's Hospital and The Affiliated Suzhou Hospital of Nanjing Medical University from Jun.2020 to Jun.2023 were retrospectively included.According to the modified Rankin scale(mRS)scores at 90 d follow-up,they were assigned to good prognosis group(286 cases)or poor prognosis group(105 cases).Logistic regression and receiver operating characteristic(ROC)curve were used to evaluate the effect of TyG on the short-term prognosis of patients with initial acute ischemic stroke.Results Compared with the good prognosis group,the patients of poor prognosis group had older age,higher proportion of atrial fibrillation,higher levels of homocysteine,triglyceride,total cholesterol,low-density lipoprotein,and TyG,and higher National Institutes of Health stroke scale(NIHSS)score(all P＜0.05).Multivariate logistic regression analysis showed that age,homocysteine,TyG and NIHSS score were independent risk factors for poor prognosis in patients with initial acute ischemic stroke(all P＜0.05).ROC curve analysis showed that TyG combined with NIHSS score had good predictive value for poor prognosis of patients with initial acute ischemic stroke,and the area under curve value was 0.795.Conclusion The combination of TyG and NIHSS score is an independent influencing factor for poor short-term prognosis in patients with initial acute ischemic stroke.

Objective To investigate the related influencing factors of seizures in early pregnancy.Methods Patients with epilepsy and pregnancy in Suzhou Hospital Affiliated to Nanjing Medical University from July 2019 to July 2023 were retrospectively enrolled and divided into epileptic group(n=35)and non-epileptic group(n=48)according to whether they had epilepsy in early pregnancy.Uni-variate and multivariate Logistic regression models were used to analyze the influencing factors of seizures in early pregnancy.And the re-ceiver operating characteristic(ROC)curve was further used to evaluate the predictive efficiency of the relevant models.Results Univa-riate analysis showed that there were statistically significant differences in the occurrence of seizures,frequency of seizures in 9months be-fore pregnancy and whether adjusted treatment plan after pregnancy between epileptic group and non-epileptic group(P＜0.05).Multi-variate Logistic regression analysis showed that the occurrence of seizures,the frequency of seizures in 9months before pregnancy,and the whether adjusted treatment plan after pregnancy were correlated with seizures in early pregnancy(P＜0.05).The area under the ROC curve of the predicted model was 0.750(95％CI:0.652-0.858)based on the results of multivariate Logistic regression analysis.Conclusion The occurrence of seizures,the frequency of seizures in 9months before pregnancy and whether adjusted treatment plan after pregnancy are related to the onset of seizures in early pregnancy.The prediction model established according to the results of multivariate Logistic regression analysis has some predictive value.

Objective To investigate the related influencing factors of seizures in early pregnancy.Methods Patients with epilepsy and pregnancy in Suzhou Hospital Affiliated to Nanjing Medical University from July 2019 to July 2023 were retrospectively enrolled and divided into epileptic group(n=35)and non-epileptic group(n=48)according to whether they had epilepsy in early pregnancy.Uni-variate and multivariate Logistic regression models were used to analyze the influencing factors of seizures in early pregnancy.And the re-ceiver operating characteristic(ROC)curve was further used to evaluate the predictive efficiency of the relevant models.Results Univa-riate analysis showed that there were statistically significant differences in the occurrence of seizures,frequency of seizures in 9months be-fore pregnancy and whether adjusted treatment plan after pregnancy between epileptic group and non-epileptic group(P＜0.05).Multi-variate Logistic regression analysis showed that the occurrence of seizures,the frequency of seizures in 9months before pregnancy,and the whether adjusted treatment plan after pregnancy were correlated with seizures in early pregnancy(P＜0.05).The area under the ROC curve of the predicted model was 0.750(95％CI:0.652-0.858)based on the results of multivariate Logistic regression analysis.Conclusion The occurrence of seizures,the frequency of seizures in 9months before pregnancy and whether adjusted treatment plan after pregnancy are related to the onset of seizures in early pregnancy.The prediction model established according to the results of multivariate Logistic regression analysis has some predictive value.