Objective To explore the influencing factors and prediction model construction of type 2 diabetes(T2DM)in women with gestational diabetes mellitus(GDM)within 2 years after de-livery.Methods A total of 359 patients who diagnosed as GDM in prenatal examination and deliv-ered in Suzhou Ninth Hospital Affiliated to Soochow University were selected for a 2-year follow-up.According to whether T2DM occurred during the follow-up period,the patients were divided into T2DM group and non-T2DM group.Univariate analysis was performed on data of the two groups,and multivariate Logistic regression analysis was performed to establish the prediction model.The goodness of fit test and receiver operating characteristic(ROC)curve were used to analyze and evaluate the ef-fectiveness of the model.Results During the 2-year postpartum follow-up,53 cases fell off,and 306 patients completed the follow-up.Among the 306 patients who completed the 2-year follow-up,266 were not diagnosed with T2DM during the follow-up period(non-T2DM group),while 40 were diagnosed with T2DM(T2DM group).Statistically significant differences were observed between the T2DM andnon-T2DM groups in family history of diabetes,pre-pregnancy body mass index(BMI),2-hour postprandial glucose level(OGTT-2hPG)for GDM diagnosis,the number of visits to prenatal classes during pregnancy,postpartum BMI,and postpartum visceral fat area(VFA)(P＜0.05).Multivariate Logistic regression analysis revealed that family history of diabetes,OGTT-2hPG,post-partum BMI,and postpartum VFA were influencing factors in the development of T2DM within 2 years postpartum among GDM patients(P＜0.05),while attending prenatal classes during pregnan-cy emerged as a protective factor(P＜0.05).The Hosmer-Lemeshow goodness-of-fit test indicated good fit of the prediction model(x2=2.076,P=0.665).The area under the ROC curve for the model was 0.891(95％CI,0.828 to 0.954),with a cutoff value of 0.795 corresponding to the maximum Youden index,a sensitivity of 0.890 and a specificity of 0.847.Conclusion The risk prediction model based on OGT-2hPG index during pregnancy,the number of pregnant women atten-ding school during pregnancy,family history of diabetes,postpartum BMI,VFA index has a certain predictive value for the risk of T2DM in GDM patients within 2 years after delivery.

Objective To explore the influencing factors and prediction model construction of type 2 diabetes(T2DM)in women with gestational diabetes mellitus(GDM)within 2 years after de-livery.Methods A total of 359 patients who diagnosed as GDM in prenatal examination and deliv-ered in Suzhou Ninth Hospital Affiliated to Soochow University were selected for a 2-year follow-up.According to whether T2DM occurred during the follow-up period,the patients were divided into T2DM group and non-T2DM group.Univariate analysis was performed on data of the two groups,and multivariate Logistic regression analysis was performed to establish the prediction model.The goodness of fit test and receiver operating characteristic(ROC)curve were used to analyze and evaluate the ef-fectiveness of the model.Results During the 2-year postpartum follow-up,53 cases fell off,and 306 patients completed the follow-up.Among the 306 patients who completed the 2-year follow-up,266 were not diagnosed with T2DM during the follow-up period(non-T2DM group),while 40 were diagnosed with T2DM(T2DM group).Statistically significant differences were observed between the T2DM andnon-T2DM groups in family history of diabetes,pre-pregnancy body mass index(BMI),2-hour postprandial glucose level(OGTT-2hPG)for GDM diagnosis,the number of visits to prenatal classes during pregnancy,postpartum BMI,and postpartum visceral fat area(VFA)(P＜0.05).Multivariate Logistic regression analysis revealed that family history of diabetes,OGTT-2hPG,post-partum BMI,and postpartum VFA were influencing factors in the development of T2DM within 2 years postpartum among GDM patients(P＜0.05),while attending prenatal classes during pregnan-cy emerged as a protective factor(P＜0.05).The Hosmer-Lemeshow goodness-of-fit test indicated good fit of the prediction model(x2=2.076,P=0.665).The area under the ROC curve for the model was 0.891(95％CI,0.828 to 0.954),with a cutoff value of 0.795 corresponding to the maximum Youden index,a sensitivity of 0.890 and a specificity of 0.847.Conclusion The risk prediction model based on OGT-2hPG index during pregnancy,the number of pregnant women atten-ding school during pregnancy,family history of diabetes,postpartum BMI,VFA index has a certain predictive value for the risk of T2DM in GDM patients within 2 years after delivery.

Objective To investigate the clinical value of left ventricular global longitudinal strain(LVGLS)combined with the global register of acute coronary events(GRACE)score in predic-ting coronary microcirculation disorder(CMD)in patients with acute myocardial infarction(AMI)af-ter emergency percutaneous coronary intervention(PCI).Methods A total of 90 patients with AMI were selected as the study objects(10 cases were lost in follow-up,4 cases were screened for poor im-age quality),and 76 cases were finally included.Left ventricular myocardial contrast echocardio-graphy(MCE)was performed in patients at 48 h after surgery.Patients were divided into non-CMD group(n=53)and CMD group(n=23)according to coronary microcirculation perfusion.Clinical data and echocardiographic data of the two groups were analyzed and compared.Multivariate Logistic regression analysis was used to screen the influencing factors of CMD occurrence,and receiver operat-ing characteristic(ROC)curve was drawn to analyze its clinical predictive value.Results Of the 76 patients,23(30.3％)cases had CMD.LVGLS and GRACE scores in the CMD group were higher than those in the non-CMD group,and the differences were statistically significant(P＜0.05).Multi-variate Logistic regression analysis showed that LVGLS and GRACE score were independent predictors of CMD in AMI patients after emergency PCI.The area under the curve of CMD predicted by LVGLS was 0.858(95％CI,0.769 to 0.948).LVGLS combined with GRACE predicted that the area un-der the curve for CMD was 0.891(95％CI,0.815 to 0.967).Conclusion LVGLS is an inde-pendent predictor for early assessment of CMD occurrence in AMI patients after emergency PCI,and its combination with GRACE score can improve the accuracy of predicting CMD occurrence.

Objective To investigate the clinical value of left ventricular global longitudinal strain(LVGLS)combined with the global register of acute coronary events(GRACE)score in predic-ting coronary microcirculation disorder(CMD)in patients with acute myocardial infarction(AMI)af-ter emergency percutaneous coronary intervention(PCI).Methods A total of 90 patients with AMI were selected as the study objects(10 cases were lost in follow-up,4 cases were screened for poor im-age quality),and 76 cases were finally included.Left ventricular myocardial contrast echocardio-graphy(MCE)was performed in patients at 48 h after surgery.Patients were divided into non-CMD group(n=53)and CMD group(n=23)according to coronary microcirculation perfusion.Clinical data and echocardiographic data of the two groups were analyzed and compared.Multivariate Logistic regression analysis was used to screen the influencing factors of CMD occurrence,and receiver operat-ing characteristic(ROC)curve was drawn to analyze its clinical predictive value.Results Of the 76 patients,23(30.3％)cases had CMD.LVGLS and GRACE scores in the CMD group were higher than those in the non-CMD group,and the differences were statistically significant(P＜0.05).Multi-variate Logistic regression analysis showed that LVGLS and GRACE score were independent predictors of CMD in AMI patients after emergency PCI.The area under the curve of CMD predicted by LVGLS was 0.858(95％CI,0.769 to 0.948).LVGLS combined with GRACE predicted that the area un-der the curve for CMD was 0.891(95％CI,0.815 to 0.967).Conclusion LVGLS is an inde-pendent predictor for early assessment of CMD occurrence in AMI patients after emergency PCI,and its combination with GRACE score can improve the accuracy of predicting CMD occurrence.

In order to promote the development of hair transplantation, particularly the establishment of standards, the Hair Transplantation Expert Group of Plastic and Aesthetic National Medical Quality Control Center invited experts in the field of hair transplantation across China and formed a draft of the Expert Consensus on Standard Terminology for Hair Transplantation based on the collation of relevant literature and monographs. By combining Delphi methodology and consensus meetings, the expert group conducted several rounds of consultations on issues such as follicular unit anatomy, harvesting, dissection, and implantation, ultimately presenting 54 terminologies. This consensus considers the original Chinese and English meanings as well as the professional characteristics of terms used in hair transplantation, highlights the unique features and advantages of hair transplantation, and preserves its essence while promoting innovation, with the hope of providing valuable reference for clinical researchers engaged in hair transplantation both domestically and internationally, and better facilitating the standardization and advancement of the field.

In order to promote the development of hair transplantation, particularly the establishment of standards, the Hair Transplantation Expert Group of Plastic and Aesthetic National Medical Quality Control Center invited experts in the field of hair transplantation across China and formed a draft of the Expert Consensus on Standard Terminology for Hair Transplantation based on the collation of relevant literature and monographs. By combining Delphi methodology and consensus meetings, the expert group conducted several rounds of consultations on issues such as follicular unit anatomy, harvesting, dissection, and implantation, ultimately presenting 54 terminologies. This consensus considers the original Chinese and English meanings as well as the professional characteristics of terms used in hair transplantation, highlights the unique features and advantages of hair transplantation, and preserves its essence while promoting innovation, with the hope of providing valuable reference for clinical researchers engaged in hair transplantation both domestically and internationally, and better facilitating the standardization and advancement of the field.