[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100507835":3},{"organization":4,"armGroups":7,"interventions":20,"overallOfficials":10,"centralContacts":30,"locations":37,"responsibleParty":54,"collaborators":10,"id":56,"slug":57,"hasResults":58,"nctId":59,"briefTitle":60,"officialTitle":60,"acronym":61,"eligibilityCriteria":62,"healthyVolunteers":58,"sex":63,"minAge":64,"maxAge":10,"enrollmentInfo":65,"targetDuration":10,"studyType":68,"phases":10,"briefSummary":69,"conditions":70,"keywords":73,"overallStatus":40,"whyStopped":10,"lastUpdateSubmitDate":75,"lastUpdatePostDateStruct":76,"startDateStruct":79,"completionDateStruct":81,"leadSponsor":83,"locationsCount":84},{"fullName":5,"class":6},"Direction Centrale du Service de Santé des Armées","OTHER",[8,13,16],{"label":9,"type":10,"description":10,"interventionNames":11},"COVID",null,[12],"Device: COVOICE application use - follow-up",{"label":14,"type":10,"description":10,"interventionNames":15},"Other respiratory diseases",[12],{"label":17,"type":10,"description":10,"interventionNames":18},"Healthy",[19],"Device: COVOICE application use - initial",[21,26],{"type":22,"name":23,"description":24,"armGroupLabels":25,"otherNames":10},"DEVICE","COVOICE application use - initial","Recording (only once) of sound related to respiratory movements, coughing and voice using a mobile phone application",[17],{"type":22,"name":27,"description":28,"armGroupLabels":29,"otherNames":10},"COVOICE application use - follow-up","Daily recording of sound related to respiratory movements, coughing and voice using a mobile phone application. Duration: up to 30 days",[9,14],[31],{"name":32,"role":33,"phone":34,"phoneExt":35,"email":36},"Hubety NIELLY, MD","CONTACT","143985479","+33","hubert.nielly@intradef.gouv.fr",[38],{"facility":39,"status":40,"city":41,"state":10,"zip":42,"country":43,"countryCode":44,"cosmosGeoPoint":45,"geoPoint":50,"contacts":51},"Hôpital d'Instruction des Armées Bégin","RECRUITING","Saint-Mandé","94160","France","FR",{"type":46,"coordinates":47},"Point",[48,49],2.41579,48.83864,{"lat":49,"lon":48},[52],{"name":53,"role":33,"phone":34,"phoneExt":35,"email":36},"Hubert NIELLY, MD",{"type":55,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100507835","covid-19-early-detection-of-worsening-by-voice-and-respiratory-pattern-characteristics-100507835",false,"NCT05892549","COVID-19: Early Detection of Worsening by Voice and Respiratory Pattern Characteristics","COVOICE","Inclusion Criteria:\n\n* French speaking\n* Affiliated to a social security system\n* Owning a mobile phone capable of accessing the COVOICE application\n\nExclusion Criteria:\n\n* Incapable adults\n* People deprived of their liberty\n* People under administrative or judicial supervision\n* Patients intubated or hospitalized in intensive care unit","ALL","18 Years",{"count":66,"type":67},1188,"ESTIMATED","OBSERVATIONAL","In some clinical forms of COVID-19, an uncontrolled hyper-inflammatory reaction known as a \"cytokine storm\" appears abruptly, around day 7, and is associated with rapid respiratory deterioration, requiring hospitalization in an intensive care unit (ICU).\n\nAt present, although risk factors for this severe form have been described, there are no validated criteria for determining which individual patients will develop this aggravation.\n\nThe study of respiratory sounds (amplitude, frequency, ...) has made it possible in other respiratory pathologies (e.g., chronic obstructive pulmonary disease) to predict exacerbations several days in advance.\n\nHaving a predictive respiratory pattern for worsening in COVID-19 would make it possible to anticipate the need for intensive care hospital beds, by means of a tool easily available on a mobile phone.",[71,72],"Sars-CoV-2 Infection","COVID-19",[74],"Voice","2023-06-13",{"date":77,"type":78},"2023-06-15","ACTUAL",{"date":80,"type":78},"2023-06-12",{"date":82,"type":67},"2026-07",{"name":5,"class":6},1]