[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100632214":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":12,"centralContacts":17,"locations":26,"responsibleParty":130,"collaborators":133,"id":149,"slug":150,"hasResults":151,"nctId":152,"briefTitle":153,"officialTitle":153,"acronym":154,"eligibilityCriteria":155,"healthyVolunteers":151,"sex":156,"minAge":157,"maxAge":10,"enrollmentInfo":158,"targetDuration":10,"studyType":161,"phases":10,"briefSummary":162,"conditions":163,"keywords":169,"overallStatus":29,"whyStopped":10,"lastUpdateSubmitDate":172,"lastUpdatePostDateStruct":173,"startDateStruct":176,"completionDateStruct":178,"leadSponsor":180,"locationsCount":181},{"fullName":5,"class":6},"Lisbon Academic Medical Center - Centro Académico de Medicina de Lisboa","NETWORK",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"Adult patients (≥18 years) admitted to participating ICUs for more than 5 days.",null,"Adult patients (≥18 years) admitted to participating intensive care units (ICUs) who remained in the ICU for more than 5 days.",[13],{"name":14,"affiliation":15,"role":16},"Susana Fernandes, MD PhD","Lisbon School of Medicine","PRINCIPAL_INVESTIGATOR",[18,23],{"name":19,"role":20,"phone":21,"phoneExt":10,"email":22},"Susana Fernandes, MD PhD.","CONTACT","351 21 798 5100","susanamfernandes@medicina.ulisboa.pt",{"name":24,"role":20,"phone":21,"phoneExt":10,"email":25},"Mariana Santos, PhD","marianamsantos@medicina.ulisboa.pt",[27,49,62,75,90,102,115],{"facility":28,"status":29,"city":30,"state":31,"zip":10,"country":32,"countryCode":33,"cosmosGeoPoint":34,"geoPoint":39,"contacts":40},"Centro Hospitalar de São João \u002F ULS São João","RECRUITING","Lisbon","Lisbon District","Portugal","PT",{"type":35,"coordinates":36},"Point",[37,38],-9.1498,38.72509,{"lat":38,"lon":37},[41,45,46],{"name":42,"role":20,"phone":43,"phoneExt":10,"email":44},"José Artur Paiva, MD PhD","351 225 512 100","japaiva@ulssjoao.min-saude.pt",{"name":42,"role":16,"phone":10,"phoneExt":10,"email":10},{"name":47,"role":48,"phone":10,"phoneExt":10,"email":10},"Cristiana Paulo, MD PhD","SUB_INVESTIGATOR",{"facility":50,"status":29,"city":30,"state":31,"zip":10,"country":32,"countryCode":33,"cosmosGeoPoint":51,"geoPoint":53,"contacts":54},"Hospital de Vila Franca de Xira \u002F ULS Estuário do Tejo",{"type":35,"coordinates":52},[37,38],{"lat":38,"lon":37},[55,59,60],{"name":56,"role":20,"phone":57,"phoneExt":10,"email":58},"João Gonçalves Pereira, MD PhD","351 263 006 500","joaogpster@gmail.com",{"name":56,"role":16,"phone":10,"phoneExt":10,"email":10},{"name":61,"role":48,"phone":10,"phoneExt":10,"email":10},"André Oliveira, MD PhD",{"facility":63,"status":29,"city":30,"state":31,"zip":10,"country":32,"countryCode":33,"cosmosGeoPoint":64,"geoPoint":66,"contacts":67},"Hospital Garcia de Orta \u002F ULS Almada-Seixal",{"type":35,"coordinates":65},[37,38],{"lat":38,"lon":37},[68,72,73],{"name":69,"role":20,"phone":70,"phoneExt":10,"email":71},"Antero Fernandes, MD PhD","351 212 940 294","antevafe@gmail.com",{"name":69,"role":16,"phone":10,"phoneExt":10,"email":10},{"name":74,"role":48,"phone":10,"phoneExt":10,"email":10},"Rui Gomes, MD PhD",{"facility":76,"status":29,"city":30,"state":31,"zip":10,"country":32,"countryCode":33,"cosmosGeoPoint":77,"geoPoint":79,"contacts":80},"Hospital Prof. Doutor Fernando Fonseca \u002F ULS Amadora -Sintra",{"type":35,"coordinates":78},[37,38],{"lat":38,"lon":37},[81,85,86,88],{"name":82,"role":20,"phone":83,"phoneExt":10,"email":84},"Paulo Teles Freitas, MD PhD","351 214 348 200","ptf@netcabo.pt",{"name":82,"role":16,"phone":10,"phoneExt":10,"email":10},{"name":87,"role":48,"phone":10,"phoneExt":10,"email":10},"Tiago Ramires, MD PhD",{"name":89,"role":48,"phone":10,"phoneExt":10,"email":10},"Cristiana Gonçalves, MD PhD",{"facility":91,"status":29,"city":30,"state":31,"zip":10,"country":32,"countryCode":33,"cosmosGeoPoint":92,"geoPoint":94,"contacts":95},"Hospital Santa Maria \u002F ULS Santa Maria",{"type":35,"coordinates":93},[37,38],{"lat":38,"lon":37},[96,98,99,100],{"name":14,"role":20,"phone":97,"phoneExt":10,"email":22},"351 217 805 000",{"name":24,"role":20,"phone":10,"phoneExt":10,"email":25},{"name":14,"role":16,"phone":10,"phoneExt":10,"email":10},{"name":101,"role":48,"phone":10,"phoneExt":10,"email":10},"João Ribeiro, MD PhD",{"facility":103,"status":29,"city":30,"state":31,"zip":10,"country":32,"countryCode":33,"cosmosGeoPoint":104,"geoPoint":106,"contacts":107},"Hospital São Francisco Xavier \u002F Centro Hospitalar de Lisboa Ocidental",{"type":35,"coordinates":105},[37,38],{"lat":38,"lon":37},[108,112,113],{"name":109,"role":20,"phone":110,"phoneExt":10,"email":111},"Pedro Póvoa, MD PhD","351 210 431 000","pedrorpovoa@gmail.com",{"name":109,"role":16,"phone":10,"phoneExt":10,"email":10},{"name":114,"role":48,"phone":10,"phoneExt":10,"email":10},"João Frutuoso, MD PhD",{"facility":116,"status":117,"city":118,"state":119,"zip":10,"country":32,"countryCode":33,"cosmosGeoPoint":120,"geoPoint":124,"contacts":125},"Hospital de VIla Nova de Gaia-Espinho \u002F ULS Gaia e Espinho","NOT_YET_RECRUITING","Vila Nova de Gaia","Porto District",{"type":35,"coordinates":121},[122,123],-8.61241,41.12401,{"lat":123,"lon":122},[126,129],{"name":127,"role":20,"phone":10,"phoneExt":10,"email":128},"Rute Alves, MD PhD","ruteifalves@gmail.com",{"name":127,"role":16,"phone":10,"phoneExt":10,"email":10},{"type":16,"investigatorFullName":131,"investigatorTitle":132,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"Susana Mendes Fernandes","Prof. Dr.",[134,137,139,142,145,147],{"name":135,"class":136},"Centro Hospitalar de Vila Nova de Gaia\u002FEspinho","OTHER",{"name":138,"class":136},"Hospital Prof. Doutor Fernando Fonseca",{"name":140,"class":141},"Unidade Local de Saúde Almada-Seixal","UNKNOWN",{"name":143,"class":144},"Centro Hospitalar Lisboa Ocidental","OTHER_GOV",{"name":146,"class":136},"Hospital Vila Franca de Xira",{"name":148,"class":136},"Centro Hospitalar De São João, E.P.E.","100632214","up-study---decipher-persistent-critical-illness-through-in-deep-clinical-phenotyping-100632214",false,"NCT07510776","UP STUDY - Decipher Persistent Critical Illness Through in Deep Clinical Phenotyping.","UPSt_UCI","Inclusion Criteria:\n\n* Adult patients aged 18 years or older;\n* ICU length of stay equal to or greater than 5 days.\n\nExclusion Criteria:\n\n* Patients with an ICU stay \\\u003C 5 days;\n* Patients discharged from the ICU early due to lack of ward availability, rather than clinical recovery;\n* Patients who do not survive the early phase of critical illness (i.e., early ICU deaths).","ALL","18 Years",{"count":159,"type":160},7000,"ESTIMATED","OBSERVATIONAL","Persistent Critical Illness (PCI) is a condition that affects some patients who remain in the Intensive Care Unit (ICU) for a long time, usually more than 10-14 days. It is estimated to occur in 5-20% of critically ill patients. A recent Portuguese study found that more than 14% of ICU patients stayed longer than 14 days. PCI is often associated with ongoing need for life support, such as mechanical ventilation or medications to maintain blood pressure. However, patients may also experience severe muscle weakness, repeated infections, or other complications, which makes this group very diverse.\n\nOne of the main risk factors for prolonged ICU stay is sepsis, a severe infection that affects the whole body. Other factors-such as prior health conditions, use of corticosteroids, sedation practices, early versus late mobilization, fluid and antibiotic management, and delirium treatment-may also influence the development and course of PCI.\n\nThis study aims to identify different clinical patterns (\"clusters\") among critically ill patients who remain in the ICU for more than 10 days. Patients will be followed until hospital discharge, and up to one year if data are available. Understanding these different patterns will help develop more personalized and effective care strategies for each patient profile.\n\nThe study is a multicenter retrospective cohort including adult patients (≥18 years) admitted to participating ICUs for more than 5 days between 2021 and 2023. Data collected will include demographic, clinical, and laboratory information, details of organ support (such as mechanical ventilation or vasopressors), medications, nutrition, and rehabilitation practices.\n\nStatistical and machine learning methods will be used to identify groups of patients with similar clinical trajectories and to assess how these groups are related to outcomes such as survival, recovery of organ function, or long-term disability.\n\nExpected results are the identification of distinct clinical clusters of PCI that combine clinical and laboratory data, and the development of tailored management strategies to improve recovery and outcomes for patients with PCI.",[164,165,166,167,168],"Critical Illness","Recovery Outcomes","Critical Care, Intensive Care","Critical Care","Critical Care Medicine",[170,171,164],"Persistant Critical Illness","Critical care","2026-04-08",{"date":174,"type":175},"2026-04-13","ACTUAL",{"date":177,"type":175},"2025-01-13",{"date":179,"type":160},"2027-12-31",{"name":5,"class":6},7]