Literature DB >> 20447011

Peritraumatic Distress Inventory as a predictor of post-traumatic stress disorder after a severe motor vehicle accident.

Daisuke Nishi1, Yutaka Matsuoka, Naohiro Yonemoto, Hiroko Noguchi, Yoshiharu Kim, Shigenobu Kanba.   

Abstract

AIM: The aim of this study was to examine the utility of the Peritraumatic Distress Inventory (PDI) as a predictor of subsequent post-traumatic stress disorder (PTSD) in severe motor vehicle accident survivors.
METHODS: Patients consecutively admitted to the intensive care unit were assessed immediately and 1 month after accidents in this prospective study. The predictive value for post-traumatic stress symptoms at 1 month of the PDI at initial assessment was examined by using multivariate regression analysis. Moreover, the accuracy of the PDI as a predictor of PTSD was determined using receiver operator characteristic curve analysis. Post-traumatic stress symptoms were assessed using the Impact of Event Scale - Revised questionnaire, and PTSD was assessed using the Clinician-Administered PTSD Scale.
RESULTS: Seventy-nine patients completed the Impact of Event Scale - Revised questionnaire, and 64 patients participated in a structured interview. Of 64 patients, 13 met the diagnostic criteria of full or partial PTSD. The PDI was an independent predictor of post-traumatic stress symptoms (P = 0.003). The data indicated that a cut-off score of 23 maximized the balance between sensitivity (77%) and specificity (82%) in this study. Compared with negative predictive value (93%), positive predictive value was not high (53%).
CONCLUSION: The study suggests the predictive usefulness of the PDI for subsequent PTSD in accident survivors. Its adequate usage should be further elaborated.

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Year:  2010        PMID: 20447011     DOI: 10.1111/j.1440-1819.2010.02065.x

Source DB:  PubMed          Journal:  Psychiatry Clin Neurosci        ISSN: 1323-1316            Impact factor:   5.188


  34 in total

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2.  μ-Opioid Receptor Gene A118 G Variants and Persistent Pain Symptoms Among Men and Women Experiencing Motor Vehicle Collision.

Authors:  Sarah D Linnstaedt; JunMei Hu; Andrey V Bortsov; April C Soward; Robert Swor; Jeffrey Jones; David Lee; David Peak; Robert Domeier; Niels Rathlev; Phyllis Hendry; Samuel A McLean
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3.  Incidence and predictors of acute psychological distress and dissociation after motor vehicle collision: a cross-sectional study.

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4.  Persistent Pain Among Older Adults Discharged Home From the Emergency Department After Motor Vehicle Crash: A Prospective Cohort Study.

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5.  MicroRNA-19b predicts widespread pain and posttraumatic stress symptom risk in a sex-dependent manner following trauma exposure.

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6.  Implementation and Utility of an Automated Text Messaging System to Facilitate Symptom Self-Monitoring and Identify Risk for Post-Traumatic Stress Disorder and Depression in Trauma Center Patients.

Authors:  Brian E Bunnell; Tatiana M Davidson; Jennifer R Winkelmann; Jessica L Maples-Keller; Leigh E Ridings; Jennifer Dahne; Samir M Fakhry; Kenneth J Ruggiero
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7.  Effects of intranasal oxytocin on amygdala reactivity to emotional faces in recently trauma-exposed individuals.

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Authors:  Brian E Bunnell; Tatiana M Davidson; Kenneth J Ruggiero
Journal:  J Anxiety Disord       Date:  2018-03-09

9.  Gender Differences in Pain Experience and Treatment after Motor Vehicle Collisions: A Secondary Analysis of the CRASH Injury Study.

Authors:  Tracy E Madsen; Samuel McLean; Wanting Zhai; Sarah Linnstaedt; Michael C Kurz; Robert Swor; Phyllis Hendry; David Peak; Christopher Lewandowski; Claire Pearson; Brian O'Neil; Elizabeth Datner; David Lee; Francesca Beaudoin
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10.  Pain distribution and predictors of widespread pain in the immediate aftermath of motor vehicle collision.

Authors:  A V Bortsov; T F Platts-Mills; D A Peak; J S Jones; R A Swor; R M Domeier; D C Lee; N K Rathlev; P L Hendry; R B Fillingim; S A McLean
Journal:  Eur J Pain       Date:  2013-01-20       Impact factor: 3.931

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