Objective To investigate the predicting value of cardiac magnetic resonance feature tracking(CMR-FT)for adverse left ventricular remodeling(ALVR)in patients with acute anterior wall ST-segment elevation myocardial infarction(STEMI).Methods The clinical data and cardiac magnetic resonance(CMR)images of 161 acute anterior wall STEMI patients within 1 week and 6 months after emergency percutaneous coronary intervention(PCI)were retrospectively analyzed.ALVR was defined as an increase of left ventricular end-diastolic volume(LVEDV)over 20％at the second CMR examination compared to the baseline.The CMR parame-ters were analyzed by CVI42 post-processing software.The logistic regression analysis was used to screen the independent predictors of ALVR,and the receiver operating characteristic(ROC)curve was used to evaluate the predictive efficiency of ALVR.Results The incidence of ALVR at 6 months was 21.7％(35/161).The logistic regression analysis showed that the left ventricular global circumferential strain(LVGCS)and right ventricular global longitudinal strain(RVGLS)at baseline were independent predictors for ALVR(P＜0.001).When LVGCS was-13.89％and RVGLS was-15.07％at baseline,the sensitivity of predicting ALVR was 0.714 and 0.743,the specificity was 0.833 and 0.810,and the area under the curve(AUC)was 0.806 and 0.835,respectively.The sensitivity of LVGCS combined with RVGLS in predicting ALVR was 0.802,the specificity was 0.952,and the AUC was 0.888.The DeLong test showed that the AUC of LVGCS com-bined with RVGLS in predicting ALVR was significantly higher than that of individuals,and the difference was statistically significant(P＜0.05).Conclusion The LVGCS and RVGLS at baseline are independent predictors for ALVR in patients with acute anterior wall STEMI,their combination can significantly improve the pre-dictive efficiency of ALVR in these patients.

Objective To investigate the predicting value of cardiac magnetic resonance feature tracking(CMR-FT)for adverse left ventricular remodeling(ALVR)in patients with acute anterior wall ST-segment elevation myocardial infarction(STEMI).Methods The clinical data and cardiac magnetic resonance(CMR)images of 161 acute anterior wall STEMI patients within 1 week and 6 months after emergency percutaneous coronary intervention(PCI)were retrospectively analyzed.ALVR was defined as an increase of left ventricular end-diastolic volume(LVEDV)over 20％at the second CMR examination compared to the baseline.The CMR parame-ters were analyzed by CVI42 post-processing software.The logistic regression analysis was used to screen the independent predictors of ALVR,and the receiver operating characteristic(ROC)curve was used to evaluate the predictive efficiency of ALVR.Results The incidence of ALVR at 6 months was 21.7％(35/161).The logistic regression analysis showed that the left ventricular global circumferential strain(LVGCS)and right ventricular global longitudinal strain(RVGLS)at baseline were independent predictors for ALVR(P＜0.001).When LVGCS was-13.89％and RVGLS was-15.07％at baseline,the sensitivity of predicting ALVR was 0.714 and 0.743,the specificity was 0.833 and 0.810,and the area under the curve(AUC)was 0.806 and 0.835,respectively.The sensitivity of LVGCS combined with RVGLS in predicting ALVR was 0.802,the specificity was 0.952,and the AUC was 0.888.The DeLong test showed that the AUC of LVGCS com-bined with RVGLS in predicting ALVR was significantly higher than that of individuals,and the difference was statistically significant(P＜0.05).Conclusion The LVGCS and RVGLS at baseline are independent predictors for ALVR in patients with acute anterior wall STEMI,their combination can significantly improve the pre-dictive efficiency of ALVR in these patients.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

BACKGROUND: Iron deposition plays a crucial role in the pathophysiology of Parkinson's disease (PD), yet the distribution pattern of iron deposition in the subcortical nuclei has been inconsistent across previous studies. We aimed to assess the difference patterns of iron deposition detected by quantitative iron-sensitive magnetic resonance imaging (MRI) between patients with PD and patients with atypical parkinsonian syndromes (APSs), and between patients with PD and healthy controls (HCs). METHODS: A systematic literature search was conducted on PubMed, Embase, and Web of Science databases to identify studies investigating the iron content in PD patients using the iron-sensitive MRI techniques (R2 * and quantitative susceptibility mapping [QSM]), up until May 1, 2023. The quality assessment of case-control and cohort studies was performed using the Newcastle-Ottawa Scale, whereas diagnostic studies were assessed using the Quality Assessment of Diagnostic Accuracy Studies-2. Standardized mean differences and summary estimates of sensitivity, specificity, and area under the curve (AUC) were calculated for iron content, using a random effects model. We also conducted the subgroup-analysis based on the MRI sequence and meta-regression. RESULTS: Seventy-seven studies with 3192 PD, 209 multiple system atrophy (MSA), 174 progressive supranuclear palsy (PSP), and 2447 HCs were included. Elevated iron content in substantia nigra (SN) pars reticulata ( P <0.001) and compacta ( P <0.001), SN ( P <0.001), red nucleus (RN, P <0.001), globus pallidus ( P <0.001), putamen (PUT, P = 0.021), and thalamus ( P = 0.029) were found in PD patients compared with HCs. PD patients showed lower iron content in PUT ( P <0.001), RN ( P = 0.003), SN ( P = 0.017), and caudate nucleus ( P = 0.017) than MSA patients, and lower iron content in RN ( P = 0.001), PUT ( P <0.001), globus pallidus ( P = 0.004), SN ( P = 0.015), and caudate nucleus ( P = 0.001) than PSP patients. The highest diagnostic accuracy distinguishing PD from HCs was observed in SN (AUC: 0.85), and that distinguishing PD from MSA was found in PUT (AUC: 0.90). In addition, the best diagnostic performance was achieved in the RN for distinguishing PD from PSP (AUC: 0.86). CONCLUSIONS: Quantitative iron-sensitive MRI could quantitatively detect the iron content of subcortical nuclei in PD and APSs, while it may be insufficient to accurately diagnose PD. Future studies are needed to explore the role of multimodal MRI in the diagnosis of PD. REGISTRISION PROSPERO (CRD42022344413).
Humans ; Parkinson Disease/diagnostic imaging* ; Magnetic Resonance Imaging/methods* ; Iron/metabolism*

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Objective To analyze the clinical manifestations and diagnostic characteristics of maternal cardiac arrest(MCA)patients,summarize warning symptoms,and provide a basis for the prevention,early identification,and intervention of this event.Methods A retrospective study was conducted.Clinical data of 15 pregnant or postpartum women who experienced cardiac arrest or were transferred to Peking University Third Hospital due to cardiac arrest from January 2012 to December 2023 were collected,including age,comorbidities,causes of MCA,warning symptoms,parameters related to cardiopulmonary resuscitation(CPR,such as time and location of cardiac arrest,initial heart rhythm,electrical defibrillation,medication use,duration of CPR,restoration of spontaneous circulation,and etc.),parameters related to perimortem cesarean delivery(time interval between fetal delivery and cardiac arrest,delivery of infants),clinical outcomes(such as cerebral performance category,length of hospital stay),and multidisciplinary treatment.The main clinical endpoint was patient survival at discharge.The clinical and diagnostic characteristics of MCA were descriptively analyzed,and compare the differences in age,duration of CPR,shockable rhythm,proportion of patients with cardiac arrest occurring prenatally,and length of hospital stay among patients with different prognoses of MCA.Results The median age of 15 MCA patients was 31(30,33)years.A total of 10 cases(66.7%)of patients had concurrent obstetric diseases.Six cases(40.0%)of patients had MCA due to postpartum hemorrhage,which was the most common cause,followed by acute heart failure[2 cases(13.3%)]and pulmonary embolism[2 cases(13.3%)].A total of 12 cases(80.0%)of MCA patients showed obvious warning symptoms before cardiac arrest,with the most common warning symptoms including dyspnea(3 cases,20.0%),consciousness disorders(3 cases,20.0%),and vaginal bleeding(3 cases,20.0%).A total of 12 cases(80.0%)of MCA occurred in late pregnancy.All 15 MCA events occurred within the hospital,with an average of 5(4-6)departments involved in the CPR process.Four patients(26.7%)had an initial heart rhythm of ventricular fibrillation and all received defibrillation therapy,9 patients(75.0%)were treated with adrenaline.Two patients who were over 20 weeks pregnant underwent manual left uterine thrusting intervention during CPR,and both patients were successfully discharged.A total of 12 patients(80.0%)received CPR,of which 7 patients(58.3%)were discharged with good neurological function.A total of 11 patients underwent cesarean section surgery,and the survival rate of fetuses delivered by cesarean section was 83.3%.The duration of CPR in survivors was significantly shorter than that in deceased patients[minutes:7.0(2.0,23.3)vs.144.0(90.0,190.5),P<0.05].Conclusion Postpartum hemorrhage is the most common cause of MCA,and after active treatment,over 50%of patients can achieve good neurological function and be discharged.Comprehensive and effective CPR,strengthened coordination among multidisciplinary teams,and early identification and warning of symptoms are key strategies for improving the prognosis of MCA patients.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

OBJECTIVE: To investigate the current status of pre-hospital and in-hospital emergency medical information connectivity in China and provide evidence for optimizing the emergency medical system. METHODS: A multi-center cross-sectional study was conducted using a multi-level convenience sampling method to select provincial-level administrative regions and their corresponding capital cities, prefectural cities, and county-level emergency medical institutions. The questionnaire included basic information about respondents, the institutions, the current status of pre-hospital and in-hospital emergency information connectivity, and the satisfaction with the connectivity. The questionnaire has undergone reliability testing and split-half reliability testing, supplemented by semi-structured interviews. Data collection was carried out from January to May 2024, with one responsible person from each institution completing the questionnaire. Multiple Logistic regression analysis to investigated the relevant factors of pre-hospital and in-hospital information connectivity. RESULTS: A total of 225 questionnaires were distributed, and 199 valid responses were collected, with a response rate of 88.4%. Participants were from 199 emergency medical institutions across 13 provincial-level administrative regions. Of the institutions, 112 (56.3%) could achieve pre-hospital and in-hospital information connectivity. The proportion of pre-hospital to in-hospital information connection between emergency institutions in different provinces varies (χ² = 39.398, P < 0.001), with Beijing and Zhejiang having the highest proportion of information connection (both at 100%), and Hainan having the lowest (11.8%). The proportion of information integration in county-level emergency institution was lower than that of provincial and municipal level emergency institutions [40.4% (19/47) vs. 61.7% (29/47), 61.0% (64/105), χ² = 6.304, P = 0.043]. Provinces with high per capita disposable income have a higher proportion of information connectivity than provinces with low per capita disposable income [77.3% (34/44) vs. 50.3% (78/155), χ² = 10.122, P = 0.001]. The information connection ratio of independent pre-hospital emergency centers was higher than that of hospital emergency departments/hospital records [74.6% (47/63) vs. 47.8% (65/136), χ² = 12.581, P < 0.001]. The proportion of information integration in advanced provinces with digital development was higher than that in other provinces [77.6% (38/49) vs. 49.3% (74/150), χ² = 11.849, P = 0.001]. Logistic regression analysis showed that the per capita disposable income of residents in the province was an independent risk factor for the information connection between pre-hospital and in-hospital emergency institutions [odds ratio (OR) = 3.21, 95% confidence interval was 1.56-6.62, P < 0.01]. 72.3% institutions used the information connection mode for less than 5 years. Telephone and WeChat were the main communication methods (83.0%), and 17.0% of emergency institutions use dedicated APP for communication. 52.7% of respondents were very or relatively satisfied with the information integration before and after the hospital. The main deficiencies in current information integration were insufficient, untimely, inaccurate communication and delayed feedback between pre-hospital and in-hospital information. Optimizing top-level design and improving network quality are the directions for improving the integration of pre-hospital and in-hospital information in the future. CONCLUSIONS Pre-hospital and in-hospital emergency information connectivity in some provinces in China remains underdeveloped, with significant regional and institutional disparities. Future efforts should focus on integrating digital technologies and strengthening grassroots-level connectivity systems.
Cross-Sectional Studies ; China ; Humans ; Surveys and Questionnaires ; Emergency Medical Services ; Emergency Service, Hospital ; Hospital Information Systems

Objective To analyze the clinical manifestations and diagnostic characteristics of maternal cardiac arrest(MCA)patients,summarize warning symptoms,and provide a basis for the prevention,early identification,and intervention of this event.Methods A retrospective study was conducted.Clinical data of 15 pregnant or postpartum women who experienced cardiac arrest or were transferred to Peking University Third Hospital due to cardiac arrest from January 2012 to December 2023 were collected,including age,comorbidities,causes of MCA,warning symptoms,parameters related to cardiopulmonary resuscitation(CPR,such as time and location of cardiac arrest,initial heart rhythm,electrical defibrillation,medication use,duration of CPR,restoration of spontaneous circulation,and etc.),parameters related to perimortem cesarean delivery(time interval between fetal delivery and cardiac arrest,delivery of infants),clinical outcomes(such as cerebral performance category,length of hospital stay),and multidisciplinary treatment.The main clinical endpoint was patient survival at discharge.The clinical and diagnostic characteristics of MCA were descriptively analyzed,and compare the differences in age,duration of CPR,shockable rhythm,proportion of patients with cardiac arrest occurring prenatally,and length of hospital stay among patients with different prognoses of MCA.Results The median age of 15 MCA patients was 31(30,33)years.A total of 10 cases(66.7%)of patients had concurrent obstetric diseases.Six cases(40.0%)of patients had MCA due to postpartum hemorrhage,which was the most common cause,followed by acute heart failure[2 cases(13.3%)]and pulmonary embolism[2 cases(13.3%)].A total of 12 cases(80.0%)of MCA patients showed obvious warning symptoms before cardiac arrest,with the most common warning symptoms including dyspnea(3 cases,20.0%),consciousness disorders(3 cases,20.0%),and vaginal bleeding(3 cases,20.0%).A total of 12 cases(80.0%)of MCA occurred in late pregnancy.All 15 MCA events occurred within the hospital,with an average of 5(4-6)departments involved in the CPR process.Four patients(26.7%)had an initial heart rhythm of ventricular fibrillation and all received defibrillation therapy,9 patients(75.0%)were treated with adrenaline.Two patients who were over 20 weeks pregnant underwent manual left uterine thrusting intervention during CPR,and both patients were successfully discharged.A total of 12 patients(80.0%)received CPR,of which 7 patients(58.3%)were discharged with good neurological function.A total of 11 patients underwent cesarean section surgery,and the survival rate of fetuses delivered by cesarean section was 83.3%.The duration of CPR in survivors was significantly shorter than that in deceased patients[minutes:7.0(2.0,23.3)vs.144.0(90.0,190.5),P<0.05].Conclusion Postpartum hemorrhage is the most common cause of MCA,and after active treatment,over 50%of patients can achieve good neurological function and be discharged.Comprehensive and effective CPR,strengthened coordination among multidisciplinary teams,and early identification and warning of symptoms are key strategies for improving the prognosis of MCA patients.