[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"patient-deterioration\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:patient-deterioration":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,48],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":22,"briefSummary":24,"conditions":25,"keywords":28,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":36,"lastUpdatePostDateStruct":37,"startDateStruct":40,"completionDateStruct":42,"leadSponsor":44,"locationsCount":47},"100576002","umms-sepsis-early-prediction-score-sepsys-and-rescue-score-combined-clinical-trial-100576002",false,"NCT06779617","UMMS Sepsis Early Prediction Score (SEPSys) and RESCUE Score Combined Clinical Trial","Full Title: Sepsis Early Prediction System Score (SEPSys Score) and RESCUE Score Multi-Site, Two-Intervention, Cluster-Randomized, Factorial Stepped-Wedge Pragmatic Clinical Trial at the University of Mayland Medical System","Hospital Unit Inclusion Criteria:\n\n* Units are part of a member hospital of the University of Maryland Medical System (UMMS)\n* Units treat inpatient patients\n* Units agree to participate in the study\n\nGeneral Encounter Inclusion Criteria:\n\n* Encounter is on a participating inpatient unit\n* Encounter is associated with a bedded patient in the hospital\n* Encounter is associated with an adult (at least 18 years of age at time of admission)\n\nAdditional SEPSys Encounter Inclusion Criteria:\n\n• Encounter has a SEPSys Score\n\nAdditional RESCUE Encounter Inclusion Criteria:\n\n• Encounter has a RESCUE Score\n\nExclusion Criteria:\n\nHospital Unit Exclusion Criteria:\n\n* Unit treats exclusively outpatients or is located in an outpatient setting\n* Unit treats primarily or exclusively pediatric patients (patients under the age of 18 years old)\n* Unit treats exclusively psychiatric patients\n\nAdditional SEPSys Encounter Exclusion Criteria:\n\n* Encounter is with OB for a normal delivery and the patient has yet to give birth. This encounter can become eligible once the patient has given birth.\n* Encounter is admitted with a diagnosis of sepsis\n* Sepsis was already diagnosed during the encounter\n\nThis encounter will have been eligible until the patient began showing clinical signs or symptoms of sepsis or received a diagnosis of sepsis. Once they have a diagnosis or clinical signs or symptoms of sepsis, their SEPSys Score will no longer be updated. Data will continue to be collected on time of laboratory orders and treatments.\n\nAdditional RESCUE Encounter Exclusion Criteria:\n\n• Encounter is admitted with a high RESCUE Score (RESCUE Score of 4)","ALL","18 Years",{"count":19,"type":20},150000,"ESTIMATED","INTERVENTIONAL",[23],"NA","This study is designed to test two new risk scores - one designed to predict a patient's four-hour risk of developing sepsis and one designed to predict a patient's four-hour risk of deterioration (cardiac arrest, death, unplanned ICU transfer, or rapid response team call). The goal of this study is to improve provider awareness of a patient's risk of these two negative outcomes by providing them with new risk scores. The primary outcome will be the time from when the risk score becomes elevated to when vital signs such as heart rate or blood pressure are measured, suggesting an increased awareness.",[26,27],"Sepsis","Patient Deterioration",[26,27,29,30,31,32,33,34],"AI","Artificial Intelligence","Machine learning","Decision support","Clinical decision support","Early warning systems","RECRUITING","2026-04-30",{"date":38,"type":39},"2026-05-05","ACTUAL",{"date":41,"type":39},"2026-02-01",{"date":43,"type":20},"2028-12",{"name":45,"class":46},"University of Maryland, Baltimore","OTHER",8,{"id":49,"slug":50,"hasResults":11,"nctId":51,"briefTitle":52,"officialTitle":52,"acronym":53,"eligibilityCriteria":54,"healthyVolunteers":55,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":56,"targetDuration":4,"studyType":21,"phases":58,"briefSummary":59,"conditions":60,"keywords":63,"overallStatus":67,"whyStopped":4,"lastUpdateSubmitDate":68,"lastUpdatePostDateStruct":69,"startDateStruct":71,"completionDateStruct":73,"leadSponsor":75,"locationsCount":77},"100627639","wireless-assessment-of-respiratory-and-circulatory-distress---europe-100627639","NCT07451249","Wireless Assessment of Respiratory and Circulatory Distress - Europe","WARD-EU","Inclusion Criteria:\n\n* Adults (≥18 years) admitted to hospitals due to medical or surgical conditions with an expected hospital stay of at least two days.\n* Adults discharged from the hospital who are receiving home-based monitoring using WARD-CSS (Phase 2 only).\n* Willingness to participate and provide informed consent.\n\nExclusion Criteria:\n\n* Patients with severe comorbidities (e.g., severe dementia) that preclude continuous monitoring.\n* Patients unwilling or unable to provide informed consent.\n* Patients unable to wear the monitoring equipment.",true,{"count":57,"type":20},1240,[23],"Hospital patient monitoring in Europe is often intermittent, which can delay detection of clinical deterioration during hospitalization and after discharge. The WARD-EU study aims to describe current monitoring practices and to evaluate the feasibility, acceptability, and usability of the WARD-CSS (Wireless Assessment of Respiratory and Circulatory Distress - Clinical Support System), an algorithm-based continuous monitoring system. The study seeks to assess whether WARD-CSS can be integrated into routine hospital and post-discharge care to support earlier detection of patient deterioration and improved patient monitoring.",[27,61,62],"Patient Monitoring","Clinical Deterioration",[64,65,66],"monitoring","Post-discharge monitoring","Clinical deterioration","NOT_YET_RECRUITING","2026-02-27",{"date":70,"type":39},"2026-03-05",{"date":72,"type":20},"2026-03-16",{"date":74,"type":20},"2028-06-01",{"name":76,"class":46},"Eske Kvanner Aasvang",5]