Temporal analysis of heart rate variability as a predictor of post traumatic stress disorder in road traffic accidents survivors

arab, Abeer Shaikh al; Guédon‐Moreau, Laurence; Ducrocq, François; Molenda, Sylvie; Duhem, S.; Salleron, Julia; Chaudieu, Isabelle; Bert, Dina; Libersa, Christian; Vaïva, Guillaume

doi:10.1016/j.jpsychires.2012.02.006

Cited by 50 publications

(33 citation statements)

References 41 publications

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“…Given that HRV taps an individual’s capacity for effective inhibitory processing, it seems plausible that reduced HRV may promote poor proactive interference control which could in turn lead to more severe PTSD symptomology, especially intrusive thoughts and memories. As mentioned previously, a recent study found that HRV measured soon after trauma exposure predicted PTSD development and severity (Shaikh al arab et al, 2012). Future studies should aim to replicate and extend these findings by prospectively investigating the relationship between individual differences in HRV and cognitive control ability both before and after trauma exposure.…”

Section: Discussionmentioning

confidence: 68%

“…In support of this idea, evidence suggests that low levels of HRV prospectively predict increases in anxiety among women diagnosed with breast cancer (Kogan et al, 2012). In addition, a recent study found that HRV measured soon after trauma exposure predicted the development of PTSD 6 months later; those with lower vagally mediated HRV at rest were more likely to develop PTSD and show greater severity of symptoms relative to those with higher vagally mediated HRV (Shaikh al arab et al, 2012). These findings provide initial support for the notion that low HRV at rest increases an individual’s vulnerability to develop PTSD.…”

Section: Associations Among Hrv Ptsd and Re-experiencing Symptomsmentioning

confidence: 99%

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Individual differences in resting heart rate variability and cognitive control in posttraumatic stress disorder

Gillie

Thayer

2014

Front. Psychol.

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Post-traumatic stress disorder (PTSD) is characterized by deficits in cognitive functioning, particularly cognitive control. Moreover, these deficits are thought to play a critical role in the etiology and maintenance of core PTSD symptoms such as intrusive thoughts and memories. However, the psychophysiological concomitants of cognitive control remain largely unexamined. In this article, we suggest that individual differences in heart rate variability (HRV), a physiological index of self-regulatory capacity, may underlie the association between cognitive control ability and intrusive cognitions in PTSD. We review evidence showing that individual differences in HRV at rest are related to prefrontal cortical activity and performance on a broad range of cognitive control tasks. We highlight the importance of inhibition as a mechanism by which HRV promotes successful cognitive control. In addition, we summarize recent research linking individual differences in HRV to performance on laboratory tasks that assess the ability to control unwanted memories and intrusive thoughts. We conclude by suggesting that future studies should examine the role of low HRV as a risk factor for developing PTSD.

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Section: Discussionmentioning

confidence: 68%

Section: Associations Among Hrv Ptsd and Re-experiencing Symptomsmentioning

confidence: 99%

Individual differences in resting heart rate variability and cognitive control in posttraumatic stress disorder

Gillie

Thayer

2014

Front. Psychol.

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“…An additional study on 235 soldiers (Pyne et al, 2016) weighed this result by finding that PTSD Check List (PCL) score prior to deployment strongly influences the prediction. In people involved in road accidents, a decreased HRV during evaluation of patients 48-hours post-accident (obtained with a 24-hour ECG), was an excellent predictor of future PTSD with an AUC up to 0.92 (Shaikh Al Arab et al, 2012). …”

Section: Resultsmentioning

confidence: 99%

e-PTSD: an overview on how new technologies can improve prediction and assessment of Posttraumatic Stress Disorder (PTSD)

Bourla

Mouchabac

El‐Hage

et al. 2018

European Journal of Psychotraumatology

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Background: New technologies may profoundly change our way of understanding psychiatric disorders including posttraumatic stress disorder (PTSD). Imaging and biomarkers, along with technological and medical informatics developments, might provide an answer regarding at-risk patient’s identification. Recent advances in the concept of ‘digital phenotype’, which refers to the capture of characteristics of a psychiatric disorder by computerized measurement tools, is one paradigmatic example. Objective: The impact of the new technologies on health professionals practice in PTSD care remains to be determined. The recent evolutions could disrupt the clinical practices and practitioners in their beliefs, ethics and representations, going as far as questioning their professional culture. In the present paper, we conducted an extensive search to highlight the articles which reflect the potential of these new technologies. Method: We conducted an overview by querying PubMed database with the terms [PTSD] [Posttraumatic stress disorder] AND [Computer] OR [Computerized] OR [Mobile] OR [Automatic] OR [Automated] OR [Machine learning] OR [Sensor] OR [Heart rate variability] OR [HRV] OR [actigraphy] OR [actimetry] OR [digital] OR [motion] OR [temperature] OR [virtual reality]. Results: We summarized the synthesized literature in two categories: prediction and assessment (including diagnostic, screening and monitoring). Two independent reviewers screened, extracted data and quality appraised the sources. Results were synthesized narratively. Conclusions: This overview shows that many studies are underway allowing researchers to start building a PTSD digital phenotype using passive data obtained by biometric sensors. Active data obtained from Ecological Momentary Assessment (EMA) could allow clinicians to assess PTSD patients. The place of connected objects, Artificial Intelligence and remote monitoring of patients with psychiatric pathology remains to be defined. These tools must be explained and adapted to the different profiles of physicians and patients. The involvement of patients, caregivers and health professionals is essential to the design and evaluation of these new tools.

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“…Heart rate variability (HRV) provides an index of autonomic nervous system function that reflects the relative influence of sympathetic versus parasympathetic cardiac modulation. Lower HRV characterizes individuals with PTSD (e.g., Agorastos et al, 2012; Cohen, Kotler, Matar, Kaplan, Miodownik, & Cassuto, 1997; Mellman, Knorr, Pigeon, Leiter, & Akay, 2004) and predicts the onset of PTSD among motor vehicle accident survivors (al Arab et al, 2012). Importantly, the ventral vagal complex also exerts an inhibitory influence on the HPA axis (Porges, 2007).…”

Section: Discussionmentioning

confidence: 99%

Cortisol, heart rate, and blood pressure as early markers of PTSD risk: A systematic review and meta-analysis

Morris

Hellman

Abelson

et al. 2016

Clinical Psychology Review

120

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Individuals with posttraumatic stress disorder (PTSD) typically exhibit altered hypothalamic-pituitary-adrenal (HPA) function and sympathetic nervous system (SNS) activity. The goals of this study were to determine whether HPA and SNS alterations in the immediate aftermath of trauma predict subsequent PTSD symptom development and whether inconsistencies observed between studies can be explained by key demographic and methodological factors. This work informs secondary prevention of PTSD by identifying subgroups of trauma survivors at risk for PTSD. This meta-analysis (26 studies, N = 5,186 individuals) revealed that higher heart rate measured soon after trauma exposure was associated with higher PTSD symptoms subsequently (r = .13). Neither cortisol (r = −.07) nor blood pressure (diastolic: r = −.01; systolic: r = .02) were associated with PTSD symptoms which may be influenced by methodological limitations. Associations between risk markers (heart rate, cortisol, systolic blood pressure) and PTSD symptoms were in the positive direction for younger samples and negative direction for older samples. These findings extend developmental traumatology models of PTSD by revealing an age-related shift in the presentation of early risk markers. More work will be needed to identify risk markers and pathways to PTSD while addressing methodological limitations in order to shape and target preventive interventions.

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Temporal analysis of heart rate variability as a predictor of post traumatic stress disorder in road traffic accidents survivors

Cited by 50 publications

References 41 publications

Individual differences in resting heart rate variability and cognitive control in posttraumatic stress disorder

Individual differences in resting heart rate variability and cognitive control in posttraumatic stress disorder

e-PTSD: an overview on how new technologies can improve prediction and assessment of Posttraumatic Stress Disorder (PTSD)

Cortisol, heart rate, and blood pressure as early markers of PTSD risk: A systematic review and meta-analysis

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