[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"wearable-electronic-devices\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:wearable-electronic-devices":39},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,4,0,[8,65,94,118],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":45,"overallStatus":52,"whyStopped":4,"lastUpdateSubmitDate":53,"lastUpdatePostDateStruct":54,"startDateStruct":57,"completionDateStruct":59,"leadSponsor":61,"locationsCount":64},"100634052","early-pregnancy-lifestyle-and-glucose-patterns-a-substudy-of-tofffy-100634052",false,"NCT07534670","Early Pregnancy Lifestyle and Glucose Patterns: A Substudy of TOFFFY","Early-Pregnancy Chronobehavioural Profiles and Continuous Glucose Dynamics: A Nested Randomised Pilot Study of TOFFFY","Inclusion Criteria:\n\n* Enrolled in the Towards Optimal Fertility, Fathering and Fatherhood studY (TOFFFY) (NCT06293235)\n* Females who are currently pregnant and with viable intrauterine pregnancy at ≤13 weeks gestation at enrolment\n\nExclusion Criteria:\n\n* Females with pre-existing diabetes mellitus (Type 1 or Type 2) and\u002For chronic medical conditions affecting glucose metabolism\n* Females who are taking medications known to significantly affect glucose metabolism\n* Females with multiple pregnancy (e.g., twins or higher-order gestation)\n* Females who are unable to comply with study procedures, including: Inability to use smartphone-based applications and inability to wear wrist actigraphy device",true,"FEMALE","21 Years","39 Years",{"count":21,"type":22},140,"ESTIMATED","INTERVENTIONAL",[25],"NA","The goal of this clinical trial is to examine how daily behavioral patterns in early pregnancy, including sleep, physical activity, and meal timing, influence continuous glucose dynamics and subsequent risk of gestational diabetes mellitus (GDM) in pregnant women without pre-existing diabetes.\n\nThe main questions it aims to answer are:\n\n1. Do early-pregnancy chronobehavioral patterns (e.g., irregular sleep, night eating, and unstable rest-activity rhythms) relate to continuous glucose patterns measured using continuous glucose monitoring (CGM)?\n2. Can early behavioral and CGM-derived measures predict glucose regulation and metabolic outcomes later in pregnancy (24-28 weeks)?\n3. Does real-time self-monitoring using wearable devices and food logging improve glycemic outcomes compared to usual care?\n\nThis study is a prospective, nested randomized pilot trial embedded within the ongoing Towards Optimal Fertility, Fathering and Fatherhood studY (TOFFFY) cohort (NCT06293235) at KK Women's and Children's Hospital, Singapore. A total of 140 pregnant women without pre-existing diabetes, recruited at ≤13 weeks gestation, will be randomized in a 1:1 ratio to either a pilot arm (wearable-based self-monitoring) or a control arm (usual care).\n\nParticipants in the pilot arm (n=70) will undergo intensive behavioral and metabolic monitoring over a 14-day period in early pregnancy, including continuous glucose monitoring using a CGM device, wrist actigraphy to assess sleep-wake and rest-activity patterns, and an AI-supported mobile application to record meal timing and dietary intake. Participants will have real-time access to their glucose data and behavioral feedback, enabling self-monitoring and potential behavioral adjustments.",[28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44],"Continuous Glucose Monitoring","Diabetes, Gestational","Diet During Pregnancy","Meal Time","Actigraphy","Pregnancy","Glucose Intolerance During Pregnancy","Gestational Diabetes Mellitus in Pregnancy","Circadian Rhythm","Sleep","Chronobiology","Wearable Electronic Devices","Mobile Applications","Blood Glucose Profile","Metabolic Diseases","Randomized Controlled Trial","Pilot Study",[46,47,48,49,50,51],"Risk factor","Lifestyle","Early pregnancy","Chrono-disruptive behaviours","Maternal health","Lifestyle intervention","NOT_YET_RECRUITING","2026-04-22",{"date":55,"type":56},"2026-04-27","ACTUAL",{"date":58,"type":22},"2026-05-01",{"date":60,"type":22},"2027-06-30",{"name":62,"class":63},"KK Women's and Children's Hospital","OTHER_GOV",1,{"id":66,"slug":67,"hasResults":11,"nctId":68,"briefTitle":69,"officialTitle":70,"acronym":71,"eligibilityCriteria":72,"healthyVolunteers":16,"sex":73,"minAge":4,"maxAge":4,"enrollmentInfo":74,"targetDuration":4,"studyType":76,"phases":4,"briefSummary":77,"conditions":78,"keywords":82,"overallStatus":52,"whyStopped":4,"lastUpdateSubmitDate":84,"lastUpdatePostDateStruct":85,"startDateStruct":87,"completionDateStruct":89,"leadSponsor":91,"locationsCount":64},"100620504","delphi-procedure-for-developing-recommendations-for-the-implementation-of-wearable-devices-and-polygenic-risk-scores-100620504","NCT07358481","DELphi Procedure for Developing Recommendations for the Implementation of Wearable Devices and Polygenic Risk Scores","DEL-DIP: DELphi Procedure for Developing Recommendations for the Implementation of Wearable Devices and Polygenic Risk Scores","DEL-DIP","Inclusion criteria\n\n* Experts in cardiology\n* Experts in personalized medicine\n* Experts in digital health.\n\nExclusion criteria\n\n\\- Failure to provide informed consent (i.e., non-acceptance of the informed consent form)","ALL",{"count":75,"type":22},10,"OBSERVATIONAL","DEL-DIP is a prospective observational study employing a Delphi methodology (at least two online rounds) to elicit and consolidate the views of an expert panel within the INNOPREV project. The study aims to develop operational recommendations to support the coordinated implementation of Polygenic Risk Scores (PRS) and wearable devices in cardiovascular prevention. Specifically, it addresses the following research question: which recommendations and requirements-genomic, digital, and clinical\u002Forganizational-are necessary to integrate PRS and wearable technologies into routine practice and healthcare services, and for which of these elements do experts achieve consensus (defined as a Content Validity Index, CVI, \\> 79%)",[39,79,80,81],"Polygenic Risk Score","CVD - Cardiovascular Disease","Primary Prevention",[83],"cardiovascular prevention","2026-01-22",{"date":86,"type":56},"2026-01-23",{"date":88,"type":22},"2026-02",{"date":90,"type":22},"2026-04",{"name":92,"class":93},"Fondazione Policlinico Universitario Agostino Gemelli IRCCS","OTHER",{"id":95,"slug":96,"hasResults":11,"nctId":97,"briefTitle":98,"officialTitle":98,"acronym":4,"eligibilityCriteria":99,"healthyVolunteers":11,"sex":73,"minAge":100,"maxAge":4,"enrollmentInfo":101,"targetDuration":4,"studyType":76,"phases":4,"briefSummary":103,"conditions":104,"keywords":4,"overallStatus":52,"whyStopped":4,"lastUpdateSubmitDate":109,"lastUpdatePostDateStruct":110,"startDateStruct":112,"completionDateStruct":114,"leadSponsor":116,"locationsCount":64},"100585040","optimizing-radiation-dose-and-utilizing-wearable-devices-to-reduce-arrhythmia-risk-in-patients-undergoing-thoracic-radiotherapy-a-prospective-cohort-study-100585040","NCT06897189","Optimizing Radiation Dose and Utilizing Wearable Devices to Reduce Arrhythmia Risk in Patients Undergoing Thoracic Radiotherapy: A Prospective Cohort Study","Inclusion Criteria:\n\n* Patients with solid tumors requiring thoracic radiotherapy\n* Undergoing curative-intent radiotherapy\n* Expected survival \\> 4 months\n* Adults aged ≥ 20 years\n* ECOG performance status 0-2\n* Classified as moderate-to-high risk for radiation-induced cardiotoxicity per the 2022 ESC guidelines\n* Able to read, understand, and sign the informed consent form\n\nExclusion Criteria:\n\n* History of prior thoracic radiotherapy\n* Inability to provide informed consent or refusal to participate\n* Pre-existing arrhythmia diagnosed through medical history or pre-treatment evaluation\n* Expected survival ≤ 4 months\n* Classified as low risk for radiation-induced cardiotoxicity per the 2022 ESC guidelines\n* Unsuitability for Wearable CR device use","20 Years",{"count":102,"type":22},111,"This prospective observational cohort study aims to assess the risk of radiation-induced cardiotoxicity in patients undergoing thoracic radiotherapy by integrating real-time arrhythmia monitoring using wearable cardiac rehabilitation (wearable CR) devices and AI-based cardiac substructure segmentation. The study will analyze radiation dose exposure to key cardiac structures, including the sinoatrial node (SAN) and pulmonary veins (PV), to identify risk factors for atrial fibrillation (AF) and other arrhythmias. Patients will receive wearable CR monitoring at 3, 12, and 24 months post-radiotherapy, with cardiology follow-up and intervention based on standard clinical guidelines. The study will recruit 111 patients over three years, with a two-year follow-up after radiotherapy. The primary endpoint is the incidence of grade 3+ AF within 2 years, with secondary outcomes including any-grade arrhythmia rates, arrhythmia burden, and survival analysis. By establishing a prospective thoracic radiotherapy patient cohort, this study aims to identify dose-related risk factors, improve early detection and management of radiation-induced arrhythmias, and provide evidence-based strategies to enhance treatment safety and efficacy.",[105,106,39,107,108],"Cardiotoxicity","Thoracic Radiotherapy","Thoracic Neoplasms","Atrial Fibrillation","2025-04-16",{"date":111,"type":56},"2025-04-18",{"date":113,"type":22},"2025-05",{"date":115,"type":22},"2030-02-16",{"name":117,"class":93},"Yonsei University",{"id":119,"slug":120,"hasResults":11,"nctId":121,"briefTitle":122,"officialTitle":123,"acronym":4,"eligibilityCriteria":124,"healthyVolunteers":11,"sex":73,"minAge":125,"maxAge":4,"enrollmentInfo":126,"targetDuration":4,"studyType":76,"phases":4,"briefSummary":128,"conditions":129,"keywords":4,"overallStatus":52,"whyStopped":4,"lastUpdateSubmitDate":132,"lastUpdatePostDateStruct":133,"startDateStruct":135,"completionDateStruct":137,"leadSponsor":138,"locationsCount":4},"100582871","clinical-application-study-of-wearable-multi-channel-electrocardiogram-acquisition-equipment-in-the-diagnosis-of-myocardial-ischemia-in-patients-with-suspected-chd-100582871","NCT06868940","Clinical Application Study of Wearable Multi-channel Electrocardiogram Acquisition Equipment in the Diagnosis of Myocardial Ischemia in Patients with Suspected CHD","Clinical Application Study of Wearable Multi-channel Electrocardiogram Acquisition Equipment in the Diagnosis of Myocardial Ischemia in Patients with Suspected Coronary Heart Disease","Inclusion Criteria:\n\n* To be eligible to participate in this study, a participant must meet all of the following criteria:\n\n  1. Age \\> 18 years old;\n  2. Patients suspected of having coronary heart disease with myocardial ischemia;\n  3. Capable of using wearable ECG monitoring devices properly;\n  4. Informed consent obtained from the patient.\n\nExclusion Criteria:\n\n* If a patient meets any of the following conditions, they will be excluded:\n\n  1. Hemodynamic instability;\n  2. Second to third-degree atrioventricular block, sustained ventricular tachycardia, ventricular fibrillation, severe sinus bradycardia (heart rate \\\u003C 40 beats\u002Fmin).\n  3. Known congenital heart disease, severe valvular heart disease, acute heart failure, and decompensated chronic heart failure;\n  4. Severe comorbidities: Other diseases expected to have a life expectancy of ≤12 months; bronchial asthma or severe liver and kidney dysfunction; history of severe renal or liver function abnormalities (glomerular filtration rate \\\u003C 30 ml\u002F(min·1.73²m²), liver failure, cirrhosis, portal hypertension, or active hepatitis), neutropenia, thrombocytopenia;\n  5. Allergy to adenosine;\n  6. Imaging failure, such as patient movement during the acquisition process or too rapid injection of the imaging agent.","18 Years",{"count":127,"type":22},107,"Backgroud: With the widespread application of artificial intelligence, sensor technology, and wearable technology in clinical and daily life, wearable devices have shown a promising application prospect and tremendous potential. Currently, both domestic and international clinical applications of wearable ECG devices for the diagnosis and treatment of coronary heart disease are mostly single-lead ECG wearable devices or simulated multi-lead wearable ECG monitoring devices, which are widely used in the diagnosis of arrhythmias such as atrial fibrillation. There is a lack of clinical diagnostic efficacy research on myocardial ischemia in coronary heart disease.\n\nAim: To investigate the diagnostic efficacy of wearable multi-channel ECG acquisition devices for myocardial ischemia in suspected CHD patients Methods：Assessing the sensitivity, specificity, and accuracy of wearable multi-channel ECG devices in diagnosing myocardial ischemia in coronary heart disease by comparing with the \"gold standard\" SPECT-MPI.The target recruitment is 107 suspected coronary heart disease myocardial ischemia patients.If patients do not meet the exclusion criteria, they will wear the wearable multi-channel ECG device for 7 days after enrollment, followed by a myocardial SPECT examination; there is no specific order for these examinations. After enrollment, baseline information of the patients (such as age, gender, height, weight, etc.), comorbidities (such as hypertension, diabetes, hyperlipidemia, chronic kidney disease, etc.), and auxiliary examination data (such as complete blood count, biochemistry, cardiac injury markers, BNP, echocardiography, wearable multi-channel ECG device data, SPECT-related examination data, such as ST-segment, total load score, total rest score, etc.) will be collected. The endpoint of this study is to evaluate the sensitivity, specificity, and accuracy of the wearable multi-channel ECG device in assessing myocardial ischemia in CHD.",[130,131,39],"Coronary Arterial Disease (CAD)","Myocardial Ischaemia","2025-03-05",{"date":134,"type":56},"2025-03-11",{"date":136,"type":22},"2025-03",{"date":88,"type":22},{"name":139,"class":93},"West China Hospital"]