Academic Journal
Evaluating a screener to quantify PTSD risk using emergency care information: a proof of concept study
| Title: | Evaluating a screener to quantify PTSD risk using emergency care information: a proof of concept study |
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| Authors: | Willem F. van der Mei, Anna C. Barbano, Andrew Ratanatharathorn, Richard A. Bryant, Douglas L. Delahanty, Terri A. deRoon-Cassini, Betty S. Lai, Sarah R. Lowe, Yutaka J. Matsuoka, Miranda Olff, Wei Qi, Ulrich Schnyder, Soraya Seedat, Ronald C. Kessler, Karestan C. Koenen, Arieh Y. Shalev, International Consortium to Predict PTSD |
| Source: | BMC Emergency Medicine, Vol 20, Iss 1, Pp 1-11 (2020) |
| Publisher Information: | BMC, 2020. |
| Publication Year: | 2020 |
| Collection: | LCC:Special situations and conditions LCC:Medical emergencies. Critical care. Intensive care. First aid |
| Subject Terms: | Emergency care admissions, Post-traumatic stress disorder, Peritraumatic symptoms, Sequential prediction, Mega-analysis, Special situations and conditions, RC952-1245, Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9 |
| More Details: | Abstract Background Previous work has indicated that post-traumatic stress disorder (PTSD) symptoms, measured by the Clinician-Administered PTSD Scale (CAPS) within 60 days of trauma exposure, can reliably produce likelihood estimates of chronic PTSD among trauma survivors admitted to acute care centers. Administering the CAPS is burdensome, requires skilled professionals, and relies on symptoms that are not fully expressed upon acute care admission. Predicting chronic PTSD from peritraumatic responses, which are obtainable upon acute care admission, has yielded conflicting results, hence the rationale for a stepwise screening-and-prediction practice. This work explores the ability of peritraumatic responses to produce risk likelihood estimates of early CAPS-based PTSD symptoms indicative of chronic PTSD risk. It specifically evaluates the Peritraumatic Dissociative Experiences Questionnaire (PDEQ) as a risk-likelihood estimator. Methods We used individual participant data (IPD) from five acute care studies that used both the PDEQ and the CAPS (n = 647). Logistic regression calculated the probability of having CAPS scores ≥ 40 between 30 and 60 days after trauma exposure across the range of initial PDEQ scores, and evaluated the added contribution of age, sex, trauma type, and prior trauma exposure. Brier scores, area under the receiver-operating characteristic curve (AUC), and the mean slope of the calibration line evaluated the accuracy and precision of the predicted probabilities. Results Twenty percent of the sample had CAPS ≥ 40. PDEQ severity significantly predicted having CAPS ≥ 40 symptoms (p |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1471-227X |
| Relation: | http://link.springer.com/article/10.1186/s12873-020-00308-z; https://doaj.org/toc/1471-227X |
| DOI: | 10.1186/s12873-020-00308-z |
| Access URL: | https://doaj.org/article/9c44ebaa28de45d195e02855625b95a6 |
| Accession Number: | edsdoj.9c44ebaa28de45d195e02855625b95a6 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 1471227X |
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| DOI: | 10.1186/s12873-020-00308-z |
| Published in: | BMC Emergency Medicine |
| Language: | English |