Early Detection of Patients at Risk of Developing a Post-traumatic Stress Disorder After a Stay in Intensive Care Unit (STRESSREA)

September 21, 2018 updated by: Hospices Civils de Lyon

Post-traumatic stress disorder (PTSD) is a psychiatric pathology noticed in the DSM-5, in troubles due to a traumatism or a stress factor and appearing at least 1 month after confrontation with trauma. This trouble can become chronic, and be the source of psychiatric and somatic comorbidities, which themselves have personal, professional and economic consequences at the level of the individual and society.

Some studies looked at the psychological effects induced by a stay in intensive care unit (ICU) since few years. The emergence of PTSD in these patients has been described, with an incidence varying from 4% to 60%.

The literature is contradictory about identified risk factors for PTSD. It's not possible to design a screening of these patients actually, only focused on the risk factors. It has been shown that the presence of acute stress trouble (presence of symptoms during the first month after the traumatism) was a risk factor for PTSD. Early detection of acute stress disorder could be a way to screen risk of emergence of a post-intensive care PTSD. Post-intensive care consultations have been done at 6 months, but not systematically. Only few symptoms are looked for and a sizable part of this population were not being followed probably due to a non-diagnosed-PTSD. In case of the emergence of a post-intensive care PTSD, those patients will never be diagnosed and treated, favoring all complications linked to this trouble.

Associated with other factors, IES-R (Impact Event Scale Revisited) at the ICU exit would permit an exhaustive screening of patients at risk for PTSD and could permit to propose them an adapted care and then limit the emergence of PTSD and its consequences..

In this study, the investigators will screen acute stress symptoms within 8 days following the ICU's exit, using the IES-R, in order to evaluate his ability to predict the emergence of a PTSD at three months. IES-R is an auto-questionnaire, easy and fast with good psychometrics capacities for PTSD.

Study Overview

Status

Completed

Study Type

Observational

Enrollment (Actual)

208

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Lyon, France, 69423
        • Psychiatrie des urgences, Hôpital Edouard Herriot

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

People over 18 years old, staying more than 72 hours in intensive care unit

Description

Inclusion Criteria:

  • Patient over 18 years old leaving an intensive care unit after a stay of more than 72 hours, in one of the medical and surgical intensive care units of the E Herriot Hospital
  • Patient having given his agreement to participate in this study

Exclusion Criteria:

  • Patient not understanding French language
  • Confused patient (clinical assessment)
  • Patient under protection measure or deprived from his rights

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Patients in intensive care unit
Cohort of patients leaving intensive care unit after a stay of more than 72 hours
Evaluating the ability of the Impact Event Scale -Revisited within 8 days following the intensive care unit exit to predict a post-traumatic stress disorder at 3 months (Impact Event Scale -Revisited score strictly greater than 34)

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Impact Event Scale Revisited
Time Frame: 3 months
Impact Event Scale Revisited (IES-R) will be carried out by a psychiatry clinician within 8 days following the intensive care unit in order to evaluate his ability to predict the emergence of a PTSD at three months. IES-R is an auto-questionnaire, easy and fast with good psychometrics capacities for PTSD.
3 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 20, 2017

Primary Completion (Actual)

July 10, 2018

Study Completion (Actual)

July 10, 2018

Study Registration Dates

First Submitted

September 5, 2017

First Submitted That Met QC Criteria

September 8, 2017

First Posted (Actual)

September 11, 2017

Study Record Updates

Last Update Posted (Actual)

September 25, 2018

Last Update Submitted That Met QC Criteria

September 21, 2018

Last Verified

September 1, 2017

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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