ArticleMolecular psychiatry2021
Pre-deployment risk factors for PTSD in active-duty personnel deployed to Afghanistan: a machine-learning approach for analyzing multivariate predictors.
Article in Molecular psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.
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Who cites it
54 citing papers in PubMed, 2 syntheses or guidelines pooled it, 108 citations in OpenAlex.
- Artificial intelligence techniques applied to anxiety disorders recognition: a systematic review.Frontiers in digital health · 2025Pooled it
- Hair Cortisol Research in Posttraumatic Stress Disorder - 10 Years of Insights and Open Questions. A Systematic Review.Current neuropharmacology · 2024Pooled it
- Oxytocin vs. placebo effects on intrusive memory consolidation using a trauma film paradigm: a randomized, controlled experimental study in healthy women.Translational psychiatry · 2023Trial
- A novel soil-derived Mycolicibacterium decreases anxiety-like defensive behavioral responses in association with decreases in biomarkers of neuroinflammation and hippocampal microglial priming in adult male rats.Brain, behavior, and immunity · 2026Article
- Advanced glycation end products and PTSD: molecular insights and dietary approaches for neuropsychiatric health.Metabolic brain disease · 2026Review
- Pre-trauma cognitive traits predict fear generalization and associated prefrontal functioning in a longitudinal rodent model.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Mechanisms through which sleep influences intrusive memories: protocol for a trauma film paradigm study.Sleep advances : a journal of the Sleep Research Society · 2026Article
- Predicting PTSD development with early post-trauma assessments: a proof-of-concept for a concise tree-based classification method.European journal of psychotraumatology · 2025Article
- A commentary on Bonanno and Westphal's (2024) three axioms of resilience: Application to military contexts.Journal of traumatic stress · 2025Article
- Estimating Treatment Effect Heterogeneity in Psychiatry: A Review and Tutorial With Causal Forests.International journal of methods in psychiatric research · 2025Review
- Long-Term miRNA Changes Predicting Resiliency Factors of Post-Traumatic Stress Disorder in a Large Military Cohort-Millennium Cohort Study.International journal of molecular sciences · 2025Article
- Using artificial intelligence to predict patient outcomes from patient-reported outcome measures: a scoping review.Health and quality of life outcomes · 2025Article
- Surface Plasmon Resonance Imaging-Based Platform Enables Detection of Single, Site-Specific 5-Methylcytosine Associated with Post-traumatic Stress Disorder (PTSD).ACS pharmacology & translational science · 2025Article
- Predictors of acute stress disorder following a military maritime accident.Frontiers in psychiatry · 2025Article
- Real-time monitoring of military health and readiness: a perspective on future research.Frontiers in digital health · 2025Article
- A systematic review of machine learning findings in PTSD and their relationships with theoretical models.Nature. Mental health · 2025Article
- Prevalence of post-traumatic stress disorder in Peruvian military: a cross-sectional study.Frontiers in psychiatry · 2025Article
- A prediction model for differential resilience to the effects of combat-related stressors in US army soldiers.International journal of methods in psychiatric research · 2024Article
- Blood-based DNA methylation and exposure risk scores predict PTSD with high accuracy in military and civilian cohorts.BMC medical genomics · 2024Article
- At-home, telehealth-supported ketamine treatment for depression: Findings from longitudinal, machine learning and symptom network analysis of real-world data.Journal of affective disorders · 2024Article
Corrections and comments
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Authors and funding
18 authors at 6 institutions in 1 country.
Funding
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Abstract
Active-duty Army personnel can be exposed to traumatic warzone events and are at increased risk for developing post-traumatic stress disorder (PTSD) compared with the general population. PTSD is associated with high individual and societal costs, but identification of predictive markers to determine deployment readiness and risk mitigation strategies is not well understood. This prospective longitudinal naturalistic cohort study-the Fort Campbell Cohort study-examined the value of using a large multidimensional dataset collected from soldiers prior to deployment to Afghanistan for predicting post-deployment PTSD status. The dataset consisted of polygenic, epigenetic, metabolomic, endocrine, inflammatory and routine clinical lab markers, computerized neurocognitive testing, and symptom self-reports. The analysis was computed on active-duty Army personnel (N = 473) of the 101st Airborne at Fort Campbell, Kentucky. Machine-learning models predicted provisional PTSD diagnosis 90-180 days post deployment (random forest: AUC = 0.78, 95% CI = 0.67-0.89, sensitivity = 0.78, specificity = 0.71; SVM: AUC = 0.88, 95% CI = 0.78-0.98, sensitivity = 0.89, specificity = 0.79) and longitudinal PTSD symptom trajectories identified with latent growth mixture modeling (random forest: AUC = 0.85, 95% CI = 0.75-0.96, sensitivity = 0.88, specificity = 0.69; SVM: AUC = 0.87, 95% CI = 0.79-0.96, sensitivity = 0.80, specificity = 0.85). Among the highest-ranked predictive features were pre-deployment sleep quality, anxiety, depression, sustained attention, and cognitive flexibility. Blood-based biomarkers including metabolites, epigenomic, immune, inflammatory, and liver function markers complemented the most important predictors. The clinical prediction of post-deployment symptom trajectories and provisional PTSD diagnosis based on pre-deployment data achieved high discriminatory power. The predictive models may be used to determine deployment readiness and to determine novel pre-deployment interventions to mitigate the risk for deployment-related PTSD.
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