NCT07510776

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

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
7,000

participants targeted

Target at P75+ for all trials

Timeline
19mo left

Started Jan 2025

Typical duration for all trials

Geographic Reach
1 country

7 active sites

Status
recruiting

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 Progress48%
Jan 2025Dec 2027

Study Start

First participant enrolled

January 13, 2025

Completed
11 months until next milestone

First Submitted

Initial submission to the registry

December 3, 2025

Completed
4 months until next milestone

First Posted

Study publicly available on registry

April 3, 2026

Completed
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2026

Expected
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2027

Last Updated

April 13, 2026

Status Verified

March 1, 2026

Enrollment Period

2 years

First QC Date

December 3, 2025

Last Update Submit

April 8, 2026

Conditions

Keywords

Persistant Critical IllnessCritical careCritical Illness

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

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

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

Study Sites (7)

Centro Hospitalar de São João / ULS São João

Lisbon, Lisbon District, Portugal

RECRUITING

Hospital de Vila Franca de Xira / ULS Estuário do Tejo

Lisbon, Lisbon District, Portugal

RECRUITING

Hospital Garcia de Orta / ULS Almada-Seixal

Lisbon, Lisbon District, Portugal

RECRUITING

Hospital Prof. Doutor Fernando Fonseca / ULS Amadora -Sintra

Lisbon, Lisbon District, Portugal

RECRUITING

Hospital Santa Maria / ULS Santa Maria

Lisbon, Lisbon District, Portugal

RECRUITING

Hospital São Francisco Xavier / Centro Hospitalar de Lisboa Ocidental

Lisbon, Lisbon District, Portugal

RECRUITING

Hospital de VIla Nova de Gaia-Espinho / ULS Gaia e Espinho

Vila Nova de Gaia, Porto District, Portugal

NOT YET RECRUITING

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: 36597110BACKGROUND
  • Shaw 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: 32426744BACKGROUND
  • Voiriot 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: 35779142BACKGROUND
  • Inoue 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: 31304024BACKGROUND
  • Pereira 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: 36888823BACKGROUND
  • Livingston 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: 32181795BACKGROUND
  • Cadd 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: 33743819BACKGROUND
  • Gupta 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: 30849230BACKGROUND
  • COVID-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: 33211135BACKGROUND
  • Yildirim 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: 34177170BACKGROUND
  • Span 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: 1613205BACKGROUND
  • Harrison 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: 37260430BACKGROUND
  • Zhou 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

Critical Illness

Condition Hierarchy (Ancestors)

Disease AttributesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Susana Fernandes, MD PhD

    Lisbon School of Medicine

    PRINCIPAL INVESTIGATOR

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

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.

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).
More information

Locations