Factors Associated With Early Readmission in Critical Care

NCT ID: NCT07182916

Last Updated: 2025-09-19

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

1000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2026-01-15

Study Completion Date

2026-06-15

Brief Summary

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The COVID-19 health crisis has highlighted pre-existing challenges in patient flow management within healthcare facilities, especially in critical care units. This has sparked debate regarding the sufficiency of critical care beds in France, while drawing attention to the lack of downstream structures. Inefficient patient flow, leading to bed occupancy bottlenecks, has been correlated with both critical care length of stay and morbidity. Unplanned early readmission to critical care further exacerbates these strains and prolongs hospital length of stay. Currently, no standardized criteria are available to guide safe discharge from critical care. A recent Delphi consensus study proposed a set of criteria, although largely subjective. The primary outcome of the present study is to identify factors associated with unplanned early readmission to critical care within 48 hours of discharge. Delayed discharge from critical care represents another major bottleneck contributing to system strain. The secondary outcome of this study is therefore to assess the proportion of critical care beds occupied by patients deemed ready for discharge by the medical team, as well as to analyze the reasons underlying such delayed transfers.

Detailed Description

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The COVID-19 health crisis has highlighted pre-existing challenges in patient flow management within healthcare facilities, especially in critical care units. This has sparked debate regarding the sufficiency of critical care beds in France, while drawing attention to the lack of downstream structures. Inefficient patient flow, leading to bed occupancy bottlenecks, has been correlated with both critical care length of stay and morbidity. Unplanned early readmission to critical care further exacerbates these strains and prolongs hospital length of stay. Currently, no standardized criteria are available to guide safe discharge from critical care. A recent Delphi consensus study proposed a set of criteria, although largely subjective. The primary outcome of the present study is to identify factors associated with unplanned early readmission to critical care within 48 hours of discharge. Delayed discharge from critical care represents another major bottleneck contributing to system strain. The secondary outcome of this study is therefore to assess the proportion of critical care beds occupied by patients deemed ready for discharge by the medical team, as well as to analyze the reasons underlying such delayed transfers.

Conditions

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Early Readmission to the ICU

Study Design

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Observational Model Type

OTHER

Study Time Perspective

PROSPECTIVE

Study Groups

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No intervention /Observation

No intervention: observation of patients with early eeadmission to the ICU

No intervention

Intervention Type OTHER

Only observation

Interventions

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No intervention

Only observation

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Patients over 18 years of age
* Hospitalized or admitted to the ICU

Exclusion Criteria

* Objection to the use of their data (by patient or a relative when applicable)
* Patients under legal protection
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Société Française d'Anesthésie et de Réanimation

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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François DEPRET

Role: STUDY_CHAIR

Hôpital Saint-Louis, AP-HP

Central Contacts

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Merlin DELOURME,, MD

Role: CONTACT

+33 1 42 49 93 94

François DEPRET

Role: CONTACT

+33 1 42 49 93 94

Other Identifiers

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FRASC / 2025-08

Identifier Type: -

Identifier Source: org_study_id

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