Estimating the risk of PTSD in recent trauma survivors: results of the International Consortium to Predict PTSD (ICPP)

International Consortium to Predict PTSD, Arieh Y. Shalev, Martin Gevonden, Andrew Ratanatharathorn, Eugene Laska, Willem F. van der Mei, Wei Qi, Sarah Lowe, Betty S. Lai, Richard A. Bryant, Douglas Delahanty, Yutaka J. Matsuoka, Miranda Olff, Ulrich Schnyder, Soraya Seedat, Terri A. deRoon-Cassini, Ronald C. Kessler, Karestan C. Koenen, Yael Errera-Ankri, Anna C. Barbano & 13 others Sarah Freedman, Jessie Frijling, Carel Goslings, Jan Luitse, Alexander McFarlane, Derrick Silove, Hanspeter Moergeli, Joanne Mouthaan, Daisuke Nishi, Meaghan O'Donnell, Marit Sijbrandij, Sharain Suliman, Mirjam van Zuiden

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

A timely determination of the risk of post-traumatic stress disorder (PTSD) is a prerequisite for efficient service delivery and prevention. We provide a risk estimate tool allowing a calculation of individuals’ PTSD likelihood from early predictors. Members of the International Consortium to Predict PTSD (ICPP) shared individual participants’ item-level data from ten longitudinal studies of civilian trauma survivors admitted to acute care centers in six countries. Eligible participants (N=2,473) completed an initial clinical assessment within 60 days of trauma exposure, and at least one follow-up assessment 4-15 months later. The Clinician-Administered PTSD Scale for DSM-IV (CAPS) evaluated PTSD symptom severity and diagnostic status at each assessment. Participants’ education, prior lifetime trauma exposure, marital status and socio-economic status were assessed and harmonized across studies. The study's main outcome was the likelihood of a follow-up PTSD given early predictors. The prevalence of follow-up PTSD was 11.8% (9.2% for male participants and 16.4% for females). A logistic model using early PTSD symptom severity (initial CAPS total score) as a predictor produced remarkably accurate estimates of follow-up PTSD (predicted vs. raw probabilities: r=0.976). Adding respondents’ female gender, lower education, and exposure to prior interpersonal trauma to the model yielded higher PTSD likelihood estimates, with similar model accuracy (predicted vs. raw probabilities: r=0.941). The current model could be adjusted for other traumatic circumstances and accommodate risk factors not captured by the ICPP (e.g., biological, social). In line with their use in general medicine, risk estimate models can inform clinical choices in psychiatry. It is hoped that quantifying individuals’ PTSD risk will be a first step towards systematic prevention of the disorder.

LanguageEnglish
Pages77-87
Number of pages11
JournalWorld Psychiatry
Volume18
Issue number1
Early online date2 Jan 2019
DOIs
Publication statusPublished - Feb 2019

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Post-Traumatic Stress Disorders
Survivors
Wounds and Injuries
Diagnostic and Statistical Manual of Mental Disorders
Education
Marital Status
Psychiatry
Longitudinal Studies
Logistic Models
Economics
Medicine
Outcome Assessment (Health Care)

Keywords

  • clinician-administered PTSD scale for DSM-IV (CAPS)
  • exposure to prior interpersonal trauma
  • female gender
  • lower education
  • Post-traumatic stress disorder
  • prediction
  • prevention
  • risk assessment tool
  • trauma survivors

Cite this

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title = "Estimating the risk of PTSD in recent trauma survivors: results of the International Consortium to Predict PTSD (ICPP)",
abstract = "A timely determination of the risk of post-traumatic stress disorder (PTSD) is a prerequisite for efficient service delivery and prevention. We provide a risk estimate tool allowing a calculation of individuals’ PTSD likelihood from early predictors. Members of the International Consortium to Predict PTSD (ICPP) shared individual participants’ item-level data from ten longitudinal studies of civilian trauma survivors admitted to acute care centers in six countries. Eligible participants (N=2,473) completed an initial clinical assessment within 60 days of trauma exposure, and at least one follow-up assessment 4-15 months later. The Clinician-Administered PTSD Scale for DSM-IV (CAPS) evaluated PTSD symptom severity and diagnostic status at each assessment. Participants’ education, prior lifetime trauma exposure, marital status and socio-economic status were assessed and harmonized across studies. The study's main outcome was the likelihood of a follow-up PTSD given early predictors. The prevalence of follow-up PTSD was 11.8{\%} (9.2{\%} for male participants and 16.4{\%} for females). A logistic model using early PTSD symptom severity (initial CAPS total score) as a predictor produced remarkably accurate estimates of follow-up PTSD (predicted vs. raw probabilities: r=0.976). Adding respondents’ female gender, lower education, and exposure to prior interpersonal trauma to the model yielded higher PTSD likelihood estimates, with similar model accuracy (predicted vs. raw probabilities: r=0.941). The current model could be adjusted for other traumatic circumstances and accommodate risk factors not captured by the ICPP (e.g., biological, social). In line with their use in general medicine, risk estimate models can inform clinical choices in psychiatry. It is hoped that quantifying individuals’ PTSD risk will be a first step towards systematic prevention of the disorder.",
keywords = "clinician-administered PTSD scale for DSM-IV (CAPS), exposure to prior interpersonal trauma, female gender, lower education, Post-traumatic stress disorder, prediction, prevention, risk assessment tool, trauma survivors",
author = "{International Consortium to Predict PTSD} and Shalev, {Arieh Y.} and Martin Gevonden and Andrew Ratanatharathorn and Eugene Laska and {van der Mei}, {Willem F.} and Wei Qi and Sarah Lowe and Lai, {Betty S.} and Bryant, {Richard A.} and Douglas Delahanty and Matsuoka, {Yutaka J.} and Miranda Olff and Ulrich Schnyder and Soraya Seedat and deRoon-Cassini, {Terri A.} and Kessler, {Ronald C.} and Koenen, {Karestan C.} and Yael Errera-Ankri and Barbano, {Anna C.} and Sarah Freedman and Jessie Frijling and Carel Goslings and Jan Luitse and Alexander McFarlane and Derrick Silove and Hanspeter Moergeli and Joanne Mouthaan and Daisuke Nishi and Meaghan O'Donnell and Marit Sijbrandij and Sharain Suliman and {van Zuiden}, Mirjam",
year = "2019",
month = "2",
doi = "10.1002/wps.20608",
language = "English",
volume = "18",
pages = "77--87",
journal = "World Psychiatry",
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Estimating the risk of PTSD in recent trauma survivors : results of the International Consortium to Predict PTSD (ICPP). / International Consortium to Predict PTSD.

In: World Psychiatry, Vol. 18, No. 1, 02.2019, p. 77-87.

Research output: Contribution to JournalArticleAcademicpeer-review

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AU - Laska, Eugene

AU - van der Mei, Willem F.

AU - Qi, Wei

AU - Lowe, Sarah

AU - Lai, Betty S.

AU - Bryant, Richard A.

AU - Delahanty, Douglas

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AU - Olff, Miranda

AU - Schnyder, Ulrich

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AU - deRoon-Cassini, Terri A.

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AU - Koenen, Karestan C.

AU - Errera-Ankri, Yael

AU - Barbano, Anna C.

AU - Freedman, Sarah

AU - Frijling, Jessie

AU - Goslings, Carel

AU - Luitse, Jan

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AU - Silove, Derrick

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