UP STUDY - Decipher Persistent Critical Illness Through in Deep Clinical Phenotyping.
UPSt_UCI
1 other identifier
observational
7,000
1 country
7
Brief Summary
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. One 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. This 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. The 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. Statistical 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. Expected 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2025
Typical duration for all trials
7 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 13, 2025
CompletedFirst Submitted
Initial submission to the registry
December 3, 2025
CompletedFirst Posted
Study publicly available on registry
April 3, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2027
April 13, 2026
March 1, 2026
2 years
December 3, 2025
April 8, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Need for one or more continuous organ support treatment at Day 10
Data from patients who remain in the ICU for more than 10 days requiring ongoing organ support, such as invasive mechanical ventilation, renal replacement therapy or vasopressors, will be used to identify those who develop Persistent Critical Illness and to enable subsequent cluster analysis of their clinical trajectories.
The first 10 days in the ICU
Secondary Outcomes (2)
All cause mortality stratified by Persistent Critical Illness (PCI) clusters
From cluster identification (Day 10) until hospital discharge or up to 1-year follow-up if available.
Organ dysfunction stratified by Persistent Critical Illness
From cluster identification (Day 10) until hospital discharge or up to 1-year follow-up if available.
Other Outcomes (9)
ICU mortality
Through ICU stay (up to 1 year).
Hospital mortality
Through hospital stay (up to 2 years).
ICU length of stay
Through ICU stay (up to 1 year).
- +6 more other outcomes
Study Arms (1)
Adult patients (≥18 years) admitted to participating ICUs for more than 5 days.
Adult patients (≥18 years) admitted to participating intensive care units (ICUs) who remained in the ICU for more than 5 days.
Eligibility Criteria
This study will include adult patients (≥18 years old) who are consecutively admitted to participating intensive care units (ICUs) and remain in the ICU for 5 or more days. The focus will be on patients who survive the early phase of critical illness, allowing the formation of a relatively homogeneous cohort of early ICU survivors. The population will comprise patients with a wide range of critical illnesses, including sepsis, respiratory failure, cardiovascular instability, and multi-organ dysfunction, who require ongoing organ support such as invasive mechanical ventilation or vasopressors. Patients with prolonged ICU stays exceeding 10 days who continue to require organ support will be further characterized as having Persistent Critical Illness.
You may qualify if:
- Adult patients aged 18 years or older;
- ICU length of stay equal to or greater than 5 days.
You may not qualify if:
- Patients with an ICU stay \< 5 days;
- Patients discharged from the ICU early due to lack of ward availability, rather than clinical recovery;
- Patients who do not survive the early phase of critical illness (i.e., early ICU deaths).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Lisbon Academic Medical Center - Centro Académico de Medicina de Lisboalead
- Centro Hospitalar de Vila Nova de Gaia/Espinhocollaborator
- Unidade Local de Saúde Almada-Seixalcollaborator
- Centro Hospitalar Lisboa Ocidentalcollaborator
- Centro Hospitalar De São João, E.P.E.collaborator
- Hospital Prof. Doutor Fernando Fonsecacollaborator
- Hospital Vila Franca de Xiracollaborator
Study Sites (7)
Centro Hospitalar de São João / ULS São João
Lisbon, Lisbon District, Portugal
Hospital de Vila Franca de Xira / ULS Estuário do Tejo
Lisbon, Lisbon District, Portugal
Hospital Garcia de Orta / ULS Almada-Seixal
Lisbon, Lisbon District, Portugal
Hospital Prof. Doutor Fernando Fonseca / ULS Amadora -Sintra
Lisbon, Lisbon District, Portugal
Hospital Santa Maria / ULS Santa Maria
Lisbon, Lisbon District, Portugal
Hospital São Francisco Xavier / Centro Hospitalar de Lisboa Ocidental
Lisbon, Lisbon District, Portugal
Hospital de VIla Nova de Gaia-Espinho / ULS Gaia e Espinho
Vila Nova de Gaia, Porto District, Portugal
Related Publications (13)
Fuest KE, Ulm B, Daum N, Lindholz M, Lorenz M, Blobner K, Langer N, Hodgson C, Herridge M, Blobner M, Schaller SJ. Clustering of critically ill patients using an individualized learning approach enables dose optimization of mobilization in the ICU. Crit Care. 2023 Jan 3;27(1):1. doi: 10.1186/s13054-022-04291-8.
PMID: 36597110BACKGROUNDShaw M, Viglianti EM, McPeake J, Bagshaw SM, Pilcher D, Bellomo R, Iwashyna TJ, Quasim T. Timing of Onset, Burden, and Postdischarge Mortality of Persistent Critical Illness in Scotland, 2005-2014: A Retrospective, Population-Based, Observational Study. Crit Care Explor. 2020 Apr 29;2(4):e0102. doi: 10.1097/CCE.0000000000000102. eCollection 2020 Apr.
PMID: 32426744BACKGROUNDVoiriot G, Oualha M, Pierre A, Salmon-Gandonniere C, Gaudet A, Jouan Y, Kallel H, Radermacher P, Vodovar D, Sarton B, Stiel L, Brechot N, Preau S, Joffre J; la CRT de la SRLF. Chronic critical illness and post-intensive care syndrome: from pathophysiology to clinical challenges. Ann Intensive Care. 2022 Jul 2;12(1):58. doi: 10.1186/s13613-022-01038-0.
PMID: 35779142BACKGROUNDInoue S, Hatakeyama J, Kondo Y, Hifumi T, Sakuramoto H, Kawasaki T, Taito S, Nakamura K, Unoki T, Kawai Y, Kenmotsu Y, Saito M, Yamakawa K, Nishida O. Post-intensive care syndrome: its pathophysiology, prevention, and future directions. Acute Med Surg. 2019 Apr 25;6(3):233-246. doi: 10.1002/ams2.415. eCollection 2019 Jul.
PMID: 31304024BACKGROUNDPereira RA, Sousa M, Cidade JP, Melo L, Lopes D, Ventura S, Aragao I, Lima Neto RMF, Molinos E, Marques A, Cardoso N, Marino F, Monteiro FB, Oliveira AP, Silva RC, Real AMN, Banheiro BS, Reis R, Adao-Serrano M, Cracium A, Valadas A, Ribeiro JM, Povoa P, Tapadinhas C, Mendes V, Coelho L, Maia R, Freitas PT, Ferreira IA, Ramires T, Val-Flores LS, Cascao M, Alves R, Rodeia SC, Barrigoto C, Cardiga R, Silva MJFD, Vale B, Fonseca T, Rios AL, Camoes J, Perez D, Cabral S, Ribeiro MI, Mendes JJ, Gouveia J, Fernandes SM. What changed between the peak and plateau periods of the first COVID-19 pandemic wave? A multicentric Portuguese cohort study in intensive care. Rev Bras Ter Intensiva. 2022 Oct-Dec;34(4):433-442. doi: 10.5935/0103-507X.20210037-pt. Epub 2023 Mar 3.
PMID: 36888823BACKGROUNDLivingston E, Bucher K. Coronavirus Disease 2019 (COVID-19) in Italy. JAMA. 2020 Apr 14;323(14):1335. doi: 10.1001/jama.2020.4344. No abstract available.
PMID: 32181795BACKGROUNDCadd M, Nunn M. An A-E assessment of post-ICU COVID-19 recovery. J Intensive Care. 2021 Mar 20;9(1):29. doi: 10.1186/s40560-021-00544-w.
PMID: 33743819BACKGROUNDGupta E, Jacobs MD, George G, Roman J. Beyond the ICU: Frailty and Post-ICU Disability. Healthcare Use after Acute Respiratory Distress Syndrome and Severe Sepsis. Am J Respir Crit Care Med. 2019 Apr 15;199(8):1028-1030. doi: 10.1164/rccm.201805-0928RR. No abstract available.
PMID: 30849230BACKGROUNDCOVID-ICU Group on behalf of the REVA Network and the COVID-ICU Investigators. Clinical characteristics and day-90 outcomes of 4244 critically ill adults with COVID-19: a prospective cohort study. Intensive Care Med. 2021 Jan;47(1):60-73. doi: 10.1007/s00134-020-06294-x. Epub 2020 Oct 29.
PMID: 33211135BACKGROUNDYildirim S, Durmaz Y, San Y, Taskiran I, Cinleti BA, Kirakli C. Cost of Chronic Critically Ill Patients to the Healthcare System: A Single-center Experience from a Developing Country. Indian J Crit Care Med. 2021 May;25(5):519-523. doi: 10.5005/jp-journals-10071-23804.
PMID: 34177170BACKGROUNDSpan LF, Hermus AR, Bartelink AK, Hoitsma AJ, Gimbrere JS, Smals AG, Kloppenborg PW. Adrenocortical function: an indicator of severity of disease and survival in chronic critically ill patients. Intensive Care Med. 1992;18(2):93-6. doi: 10.1007/BF01705039.
PMID: 1613205BACKGROUNDHarrison DA, Creagh-Brown BC, Rowan KM. Timing and burden of persistent critical illnessin UK intensive care units: An observational cohort study. J Intensive Care Soc. 2023 May;24(2):139-146. doi: 10.1177/17511437211047180. Epub 2021 Nov 5.
PMID: 37260430BACKGROUNDZhou Q, Qian H, Yang A, Lu J, Liu J. CLINICAL AND PROGNOSTIC FEATURES OF CHRONIC CRITICAL ILLNESS/PERSISTENT INFLAMMATION IMMUNOSUPPRESSION AND CATABOLISM PATIENTS: A PROSPECTIVE OBSERVATIONAL CLINICAL STUDY. Shock. 2023 Jan 1;59(1):5-11. doi: 10.1097/SHK.0000000000002035. Epub 2022 Nov 17.
PMID: 36383370BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Susana Fernandes, MD PhD
Lisbon School of Medicine
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- NETWORK
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Prof. Dr.
Study Record Dates
First Submitted
December 3, 2025
First Posted
April 3, 2026
Study Start
January 13, 2025
Primary Completion (Estimated)
December 31, 2026
Study Completion (Estimated)
December 31, 2027
Last Updated
April 13, 2026
Record last verified: 2026-03
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP
- Time Frame
- The individual participant data and accompanying data dictionary will be made available after the completion of dat of interest for the study publication, starting December 1, 2028, and will remain accessible for years thereafter.
- Access Criteria
- De-identified individual participant data and the corresponding data dictionary will be made available to qualified researchers whose proposed use of the data has been reviewed and approved by the study's coordinating center or ethics committee. Before sharing, all datasets will be verified, curated, and securely stored in accordance with applicable data protection regulations and current ethical and scientific recommendations. Researchers will have access to fully anonymized datasets containing all study variables, excluding any directly or indirectly identifiable information. Data will be shared upon reasonable request through a secure, controlled-access repository, following submission of a research proposal and a data use agreement that ensures confidentiality and appropriate data use. The anonymized dataset and related documentation will be deposited in a certified open research repository, such as Zenodo, Dryad, or Figshare, and will be assigned a Digital Object Identifier (DOI).
Individual participant data collected in this study will be made available to other researchers. All data will undergo a thorough anonymization process prior to sharing to prevent direct or indirect identification of participants. Each patient will be assigned an internal numeric code, consisting of two digits representing the center of origin and four sequential digits assigned by order of admission. No personal identifiers (e.g., name, national ID number, full date of birth, address) are collected. The anonymized dataset will be accompanied by a data dictionary, describing each variable and its format, to allow full interpretation and reuse of the data. This approach ensures participant confidentiality and complies with ethical and legal requirements, while enabling secondary analyses, replication studies, or meta-analyses by other researchers.