# Predictors of PTSD Symptom Reduction in a Secondary Analysis of a Randomized Controlled Clinical Trial

**Authors:** Tyler C. Smith, Besa Smith, An-Fu Hsiao, Andrea Munoz, Chelsea Aden, Jennifer Lai-Trzebiatowski, Megan Jung, Trevor J. Murphy, Michael Hollifield

PMC · DOI: 10.3390/jcm15010090 · Journal of Clinical Medicine · 2025-12-23

## TL;DR

This study identifies factors like gender, acupuncture, and physical health that predict PTSD symptom improvement in veterans.

## Contribution

The study introduces a combined model of demographics, clinical variables, and acupuncture intervention for predicting PTSD symptom reduction.

## Key findings

- Demographics and clinical variables together predicted PTSD symptom reduction with high accuracy (c-statistic = 0.92).
- Acupuncture added to the prediction accuracy (c-statistic = 0.94).
- Females and those with better physical health were more likely to show significant symptom reduction.

## Abstract

Objective: In a secondary analysis of a randomized, sham-controlled trial, we prospectively investigated baseline comorbidities, demographics, and intervention as predictors of clinically meaningful (≥15-point) CAPS-5 reduction in PTSD symptom reduction. Methods: This four-year (2018–2022), two-arm, parallel-group, prospective randomized placebo controlled clinical trial was conducted at the Long Beach VA Healthcare System among 71 treatment-seeking 18–55-year-old Veterans with chronic combat-related PTSD. Hierarchical and backward multivariable logistic regression models were conducted to compare the predictive capabilities of discriminating between 15-point reduction or more in CAPS-5 at follow-up. Results: Hierarchical multivariable logistic modeling found demographic variables alone provided a nearly acceptable prediction of 15-point reduction (c-statistic = 0.69) while clinical assessments alone provided an acceptable prediction (c-statistic = 0.75). Together, the baseline demographic and clinical variables indicated strong prediction (c-statistic = 0.92) and the addition of the group intervention variable increased the prediction (c-statistic = 0.94). In a backwards stepwise regression retaining variables with an alpha = 0.10 significance, females (adjusted odds ratio (AOR) = 14.7), and those receiving acupuncture (AOR = 4.17), indicating better physical health (AOR = 1.14) and less pain (AOR = 0.95), were statistically more likely to result in a 15-point CAPS-5 reduction at follow-up after controlling for other variables in the model. Conclusions: In this small sample, demographic and baseline clinical variables were independently predictive of symptom reduction and, together with the acupuncture intervention, presented a near perfect prediction of PTSD symptom reduction, though further validation is warranted. Patient characteristics that may indicate a more favorable response for PTSD symptom reduction include less baseline pain, better physical functioning, females, increasing age, and sociodemographic variables including higher income and not employed.

## Linked entities

- **Diseases:** PTSD (MONDO:0005146)

## Full-text entities

- **Diseases:** pain (MESH:D010146), PTSD (MESH:D013313)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

72 references — full list in the complete paper: https://tomesphere.com/paper/PMC12786897/full.md

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Source: https://tomesphere.com/paper/PMC12786897