[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100614234":3},{"organization":4,"armGroups":7,"interventions":17,"overallOfficials":20,"centralContacts":25,"locations":10,"responsibleParty":30,"collaborators":10,"id":33,"slug":34,"hasResults":35,"nctId":36,"briefTitle":37,"officialTitle":37,"acronym":10,"eligibilityCriteria":38,"healthyVolunteers":39,"sex":40,"minAge":41,"maxAge":42,"enrollmentInfo":43,"targetDuration":10,"studyType":46,"phases":10,"briefSummary":47,"conditions":48,"keywords":50,"overallStatus":55,"whyStopped":10,"lastUpdateSubmitDate":56,"lastUpdatePostDateStruct":57,"startDateStruct":60,"completionDateStruct":62,"leadSponsor":64,"locationsCount":10},{"fullName":5,"class":6},"Peking Union Medical College Hospital","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"gestational diabetes group",null,"No interventions",[13],"Other: No interventions",{"label":15,"type":10,"description":11,"interventionNames":16},"healthy control group",[13],[18],{"type":6,"name":11,"description":11,"armGroupLabels":19,"otherNames":10},[9,15],[21],{"name":22,"affiliation":23,"role":24},"Xinhua Xiao","Key Laboratory of Endocrinology, Ministry of Health, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China","STUDY_DIRECTOR",[26],{"name":22,"role":27,"phone":28,"phoneExt":10,"email":29},"CONTACT","86-10-13911830085","xiaoxh2014@vip.163.com",{"type":31,"investigatorFullName":22,"investigatorTitle":32,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Chief physician","100614234","individualized-early-diagnosis-and-treatment-system-of-gestational-diabetes-mellitus-gdm-based-on-new-continuous-glucose-monitoring-cgm-technology-100614234",false,"NCT07276945","Individualized Early Diagnosis and Treatment System of Gestational Diabetes Mellitus (GDM) Based on New Continuous Glucose Monitoring (CGM) Technology","Inclusion Criteria:\n\n* ① Early pregnancy (≤14 weeks) pregnant women;\n* ② Singleton pregnancies;\n* ③ Early pregnancy psychological scores (PHQ-9 and GAD-7) \\\u003C10 points;\n* ④ Consent to participate in the study and sign an informed consent form.\n\nExclusion Criteria:\n\n* ① Twin or multiple pregnancies;\n* ② Diabetes mellitus complicated with pregnancy;\n* ③ Severe pregnancy complications;\n* ④ Pre-existing significant cardiovascular, hepatic, renal, hematologic, or autoimmune diseases;\n* ⑤ History of smoking, alcohol abuse, or narcotic and drug use;\n* ⑥ Early pregnancy psychological assessment (PHQ-9 or GAD-7) score ≥10.",true,"FEMALE","18 Years","50 Years",{"count":44,"type":45},300,"ESTIMATED","OBSERVATIONAL","Gestational diabetes mellitus (GDM), as the most common metabolic complication of pregnancy, poses a serious threat to maternal and fetal metabolic health. However, current GDM diagnosis faces several problems such as static, single-point, cumbersome to operate and delayed diagnosis, highlighting an urgent need to establish an individualized system for early prediction, diagnosis, and intervention.\n\nThis project aims to develop a mother-child cohort covering pregnancy and the perinatal period to propose early diagnostic criteria for GDM based on continuous glucose monitoring (CGM) technology, as well as developing clinically applicable AI-based tools for analyzing and interpreting CGM data, along with strategies to assist in GDM diagnosis. Furthermore, it will investigate CGM parameters and multi-omics biomarkers suitable for predicting maternal and fetal outcomes, culminating in the creation of an intelligent management platform for GDM. This project is expected to enhance the early identification rate of gestational diabetes, potentially advancing the diagnostic and therapeutic window for the condition, thereby improving both short- and long-term maternal and fetal health outcomes.",[49],"Gestational Diabetes",[51,52,53,54],"gestational diabetes mellitus","continuous glucose monitoring","early diagnosis","mother-child outcomes","NOT_YET_RECRUITING","2025-12-20",{"date":58,"type":59},"2025-12-29","ACTUAL",{"date":61,"type":45},"2025-12-10",{"date":63,"type":45},"2028-07-01",{"name":5,"class":6}]