Actively Recruiting

Age: 18Years +
All Genders
NCT07510776

UP STUDY - Decipher Persistent Critical Illness Through in Deep Clinical Phenotyping.

Led by Lisbon Academic Medical Center - Centro Académico de Medicina de Lisboa · Updated on 2026-04-13

7000

Participants Needed

7

Research Sites

154 weeks

Total Duration

On this page

Sponsors

L

Lisbon Academic Medical Center - Centro Académico de Medicina de Lisboa

Lead Sponsor

C

Centro Hospitalar de Vila Nova de Gaia/Espinho

Collaborating Sponsor

AI-Summary

What this Trial Is About

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.

CONDITIONS

Official Title

UP STUDY - Decipher Persistent Critical Illness Through in Deep Clinical Phenotyping.

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Adult patients aged 18 years or older
  • ICU length of stay equal to or greater than 5 days
Not Eligible

You will not qualify if you...

  • Patients with an ICU stay less than 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)

AI-Screening

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Trial Site Locations

Total: 7 locations

1

Centro Hospitalar de São João / ULS São João

Lisbon, Lisbon District, Portugal

Actively Recruiting

2

Hospital de Vila Franca de Xira / ULS Estuário do Tejo

Lisbon, Lisbon District, Portugal

Actively Recruiting

3

Hospital Garcia de Orta / ULS Almada-Seixal

Lisbon, Lisbon District, Portugal

Actively Recruiting

4

Hospital Prof. Doutor Fernando Fonseca / ULS Amadora -Sintra

Lisbon, Lisbon District, Portugal

Actively Recruiting

5

Hospital Santa Maria / ULS Santa Maria

Lisbon, Lisbon District, Portugal

Actively Recruiting

6

Hospital São Francisco Xavier / Centro Hospitalar de Lisboa Ocidental

Lisbon, Lisbon District, Portugal

Actively Recruiting

7

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

Vila Nova de Gaia, Porto District, Portugal

Not Yet Recruiting

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Research Team

S

Susana Fernandes, MD PhD.

CONTACT

M

Mariana Santos, PhD

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

1

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