[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100532846":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":23,"centralContacts":28,"locations":34,"responsibleParty":52,"collaborators":10,"id":55,"slug":56,"hasResults":57,"nctId":58,"briefTitle":59,"officialTitle":60,"acronym":10,"eligibilityCriteria":61,"healthyVolunteers":57,"sex":62,"minAge":63,"maxAge":10,"enrollmentInfo":64,"targetDuration":67,"studyType":68,"phases":10,"briefSummary":69,"conditions":70,"keywords":80,"overallStatus":37,"whyStopped":10,"lastUpdateSubmitDate":84,"lastUpdatePostDateStruct":85,"startDateStruct":88,"completionDateStruct":90,"leadSponsor":92,"locationsCount":93},{"fullName":5,"class":6},"Universidad Europea de Madrid","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Frail Older Adult Patients",null,"For the cohort study, 500 frail older adult patients will be evaluated by means of instrumental and functional tests that assess their functional capacity, in addition to ultrasound imaging to study sarcopenia and nutrition, as well as psychological variables. The correlation between all functional, ultrasound, nutritional, and psychological variables will be analyzed. Through GLIM diagnosis, anthropometric data (weight, height, BMI) as well as analytical data including inflammation information (CRP and albumin) will be used to reach a diagnosis that allows comparison\u002Fcorrelation with the rest of the variable parameters. All available information will be collected during the follow-up in order to generate Machine Learning on the objective evolution and symptomatology of these patients, generating profiles that facilitate the most accurate and appropriate treatment for each patient.",[13],"Diagnostic Test: Instrumental and Functional Tests that Assess Functional Capacity",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":20},"DIAGNOSTIC_TEST","Instrumental and Functional Tests that Assess Functional Capacity","The correlation between all functional, ultrasound, nutritional, and psychological variables will be analyzed. Through GLIM diagnosis, anthropometric data (weight, height, BMI) as well as analytical data including inflammation information (CRP and albumin) will be used to reach a diagnosis that allows comparison\u002Fcorrelation with the rest of the variable parameters.",[9],[21,22],"Ultrasound Imaging to Study Sarcopenia and Nutrition","Psychological Variables.",[24],{"name":25,"affiliation":26,"role":27},"Eleuterio A. A. Sánchez Romero, PhD","European University of Madrid","PRINCIPAL_INVESTIGATOR",[29],{"name":30,"role":31,"phone":32,"phoneExt":10,"email":33},"Eleuterio A. Sánchez Romero, PhD","CONTACT","+34 617 123 563","eleuterio.sanchez@universidadeuropea.es",[35],{"facility":36,"status":37,"city":38,"state":39,"zip":40,"country":41,"countryCode":42,"cosmosGeoPoint":43,"geoPoint":48,"contacts":49},"Hospital Puerta de Hierro de Majadahonda","RECRUITING","Madrid","Outside of the US","28222","Spain","ES",{"type":44,"coordinates":45},"Point",[46,47],-3.70256,40.4165,{"lat":47,"lon":46},[50],{"name":30,"role":31,"phone":51,"phoneExt":10,"email":33},"617123563",{"type":27,"investigatorFullName":53,"investigatorTitle":54,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"Eleuterio Atanasio Sánchez Romero","Principal Investigator","100532846","update-on-the-detection-of-frailty-in-older-adults-100532846",false,"NCT06218121","Update on the Detection of Frailty in Older Adults","Update on the Detection of Frailty in Older Adults: A Multicenter Cohort Machine Learning-Based Study","Inclusion Criteria:\n\nA diagnosis of signs and symptoms of frailty by a geriatric physician in the research group will be used as the primary inclusion criterion. Frailty will be assessed and diagnosed using the frailty phenotype and the Clinical Frailty Scale.\n\nExclusion Criteria:\n\n* Acute myocardial infarction in the last 3 months and\u002For unstable angina pectoris\n* Uncontrolled arrhythmia, recent thromboembolism and terminal illness.\n* Patients undergoing MMII unloading or MMSS\u002FMMII fractures in the last three months.\n* Patients with a functional gait index of 1 (Inability to walk)\n* Severe pain (7\u002F10 VAS)\n* Previous neuromuscular pathology presenting with weakness\n* Medication that does not allow the patient's actual muscle reaction to be assessed\n* Severe cognitive impairment that would prevent collaboration and understanding of the tests to be performed.\n* Cardiovascularly unstable patients and uncontrolled arterial hypertension.","ALL","62 Years",{"count":65,"type":66},500,"ESTIMATED","2 Years","OBSERVATIONAL","The main objective is to update the diagnostic assessment of frailty by correlating several variables with the ultrasound image of the frail elderly patient.\n\nSecondarily, the investigators intend to collect and analyze data on functional capacity and quality of life variables on the evolution of musculoskeletal symptoms, as well as on pain and psychological variables. Similarly, it is intended to make a record of different profiles and subtypes of frail older adult patients to be stored in Machine Learning in order to establish therapeutic intervention plans that allow both the evaluation and treatment of patients.",[71,72,73,74,75,76,77,78,79],"Strength","Quality of Life","Functional Independence","Functionality","Pain","Sarcopenia","Anxiety","Kinesiophobia","Depression",[81,82,76,83],"Frailty","Quality of life","Ultrasound","2024-07-08",{"date":86,"type":87},"2024-07-09","ACTUAL",{"date":89,"type":87},"2024-04-20",{"date":91,"type":66},"2025-06-15",{"name":5,"class":6},1]