Skip to main content
OpenTrials
Recruiting

NCT Number: NCT06452797

Prognostic Estimates Among ICU Clinicians

One challenge with decision making for mechanically ventilated is that their prognosis is often uncertain. The ProVent-14 score incorporates clinical variables measured on the 14th day of mechanical ventilation to predict risk of death in one year. The ProVent-14 is easy to calculate has been externally validated. However, it is unclear how often clinicians use the ProVent-14 score to predict long-term outcomes for patients requiring 14 days of mechanical ventilation or if it helps clinicians make more accurate predictions. The purpose of this study is to determine whether ICU clinicians who receive a patient's ProVent-14 score make more accurate predictions for mortality at one year than ICU clinicians who do not.

Recruiting

Interested in participating?

Request Info

Key information

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Rush University Medical Center, Chicago, Illinois, United States

Loading trial locations.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • ICU day-shift attending physician, fellow physician, advanced practice provider, or nurse
  • Caring directly for a patient who requires invasive mechanical ventilation, 14-16 days after initial intubation, not actively transitioning to comfort-focused care and not with a neuromuscular disease (i.e. ALS) as a cause of respiratory failure.

Exclusion criteria

  • None

Treatment and study plan

ProVent-14 score

Behavioral

A score to estimate one-year mortality for patients requiring at least 14 days of mechanical ventilation

Primary outcomes

  1. Accuracy of one-year mortality rate predictions

    Time frame: One-year after participant enrollment

    Associations between participant predictions (0-100% risk of death) and patient outcomes (death or not) will be determined using logistic regression. Accuracy will be determined by Area Under the Receiver Operating Characteristic (AUROC) analysis.

Secondary outcomes

  1. Confidence in prediction

    Time frame: Upon enrollment

    1-10 scale, 10 being most confident

  2. Comfort communicating prognosis to patient/surrogate

    Time frame: Upon enrollment

    1-10 scale, 10 being most comfortable

  3. Recommendation to transition to comfort-focused care

    Time frame: Upon enrollment

    Yes or No

  4. Accuracy of timing of patient death

    Time frame: One-year after participant enrollment

    Participants who predict the patient has a <50% chance of survival will be asked to predict the month the patient will pass away

Other outcomes

  1. Accuracy of factors influencing prediction

    Time frame: One-year after participant enrollment

    Participants will list up to 5 characteristics of the patient's situation that influenced their prediction

Study contacts

Contact information is provided by the study sponsor or research team.

Jared Greenberg, MD

CONTACT

[email protected]

312-942-6744

Sponsors and collaborators

Lead sponsor

Rush University Medical Center

Other

Collaborators

  • University of North Carolina, Chapel Hill

Registry information

Official study title

Prognostic Estimates Among ICU Clinicians Caring for Patients Requiring Prolonged Mechanical Ventilation

Important dates

Study start
2024
Primary completion
2027
Study completion
2027
First posted
Jun 11, 2024
Registry last updated
Sep 17, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.