[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Liliana Barrios\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":72},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":20,"enrollmentInfo":21,"targetDuration":4,"studyType":24,"phases":4,"briefSummary":25,"conditions":26,"keywords":30,"overallStatus":59,"whyStopped":4,"lastUpdateSubmitDate":60,"lastUpdatePostDateStruct":61,"startDateStruct":64,"completionDateStruct":66,"leadSponsor":68,"locationsCount":71},"100653061","fatigue-investigation-using-digital-outcomes-100653061",false,"NCT07783074","Fatigue Investigation Using Digital Outcomes","Fatigue Investigation Using Digital Outcomes (FIDO) - An Exploratory Project","FIDO","Inclusion Criteria Multiple Sclerosis or Long COVID\n\n* Confirmed diagnosis of MS (by neurologist) or Long COVID (by medical doctor).\n* Smartphone ownership.\n* Provide written informed consent.\n* Fluent in German or English.\n\nInclusion Criteria Healthy:\n\n* Smartphone ownership.\n* Provide written informed consent.\n* Fluent in German or English.\n\nExclusion Criteria:\n\n* Concomitant medication affecting fatigue or ANS such as antidepressants prescribed or adjusted 1 month before the initial visit.\n* Unable to provide informed consent.\n* Unwilling or unable to comply with the study protocol.\n* Pregnancy or lactation.\n* For controls: Diagnosis of any chronic disorders or diseases that may affect fatigue or ANS.\n* For MS: Additional comorbidities that may affect fatigue or ANS such as autoimmune disease and cardiovascular disease.\n* For long COVID: Additional comorbidities diagnosed prior to the first acute COVID-19 infection that may affect fatigue or ANS such as autoimmune disease and cardiovascular disease.",true,"ALL","18 Years","65 Years",{"count":22,"type":23},122,"ESTIMATED","OBSERVATIONAL","This study investigates objective methods to measure and monitor fatigue in patients with post-COVID-19 condition (long COVID) and multiple sclerosis (MS), and includes a group of healthy volunteers for comparison. Fatigue is a common and debilitating symptom of both conditions, but current assessment methods rely mainly on questionnaires, which can be limited by subjectivity and recall bias. The study uses a smartphone application (the FIDO app) together with wearable devices to continuously collect data on fatigue and its fluctuations during daily life, in order to evaluate the potential of digital, objective measures compared to standard assessments.\n\nParticipation lasts approximately eight weeks and includes two in-person clinic visits along with a continuous data collection phase. At the initial visit, participants complete baseline assessments and questionnaires and are introduced to the study's digital tools. During the following weeks, participants wear two wearable devices continuously (24 hours a day) and use the FIDO app to complete short daily tasks (approximately 7 minutes every two days) and brief questionnaires (approximately 5 minutes per day). All participants collect a stool sample at home at weeks 4 and 8 for gut microbiome analysis, and complete the Fatigue Scale for Motor and Cognitive Functions at week 4. At the final study visit, participants repeat a subset of the baseline assessments, provide feedback on the digital technology used, and return the study devices.",[27,28,29],"Multiple Sclerosis","Long Covid","Healthy",[31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58],"digital biomarker","wearable devices","passive sensing","smartphone application","remote monitoring","actigraphy","heart rate variability","long COVID","Post-Acute COVID-19 Syndrome","feasibility study","compliance","adherence","fatigue monitoring","gut microbiome","post-exertional malaise","PEM","MS","FSMC","fatigue","fatigability","motor fatigue","cognitive fatigue","physical fatigue","smartwatch","ActiGraph LEAP","Apple Watch","Garmin","smartphone","RECRUITING","2026-08-20",{"date":62,"type":63},"2026-08-24","ACTUAL",{"date":65,"type":63},"2026-05-26",{"date":67,"type":23},"2028-05-01",{"name":69,"class":70},"Liliana Barrios","OTHER",6,""]