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PreprintCC BY-NC-NDmedRxiv

Clinical Correlates of Suicidal Ideation in Adults With Obsessive-Compulsive Disorder: An Interpretable Machine Learning Study

  1. 1Yale University

Abstract

IntroductionDepression accounts for much of the association between obsessive-compulsive disorder and suicidal ideation in clinical samples, but whether other features carry independent information is unclear. We examined what non-depression features reveal about suicidal ideation.

MethodsAdults with obsessive-compulsive disorder (N = 231) completed measures of quality of life, anxiety, physical symptoms, obsessive-compulsive symptoms and traits, and personality. Elastic net, random forest, and explainable boosting machines identified suicidal ideation (Beck Depression Inventory-II item 9) without depression measures in nested cross-validation. Secondary analyses compared these features with depression severity.

ResultsSixty-six participants (28.6%) endorsed suicidal ideation; 61 of these (92.4%) reported thoughts without intent to act. All models showed similar discrimination (area under the curve = .77-.78), as did depression severity alone (.77). Adding the features to depression severity yielded a small estimated gain (difference = .02, 95% confidence interval: -.03 to .06), and flexible models offered no reliable advantage. Most features, including trait anxiety and obsessive-compulsive symptom severity, were associated with suicidal ideation on their own, but these associations attenuated under mutual adjustment. Lower quality of life remained the clearest correlate.

ConclusionNon-depression features identified suicidal ideation about as well as depression severity, consistent with substantial shared, distress-related information. Clinicians should ask about suicidal ideation directly, whatever a patients depressive symptoms, and consider overall distress in case formulation.

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BibTeX
@misc{zaboski2026clinical,
  title = {{Clinical Correlates of Suicidal Ideation in Adults With Obsessive-Compulsive Disorder: An Interpretable Machine Learning Study}},
  author = {B. A. Zaboski and E. F. Mattera and C. A. Pittenger},
  howpublished = {medRxiv},
  year = {2026},
  month = may,
  doi = {10.64898/2026.05.31.26354549},
  url = {https://www.medrxiv.org/content/10.64898/2026.05.31.26354549v2},
  note = {CC BY-NC-ND},
}
RIS
TY  - UNPB
TI  - Clinical Correlates of Suicidal Ideation in Adults With Obsessive-Compulsive Disorder: An Interpretable Machine Learning Study
AU  - B. A. Zaboski
AU  - E. F. Mattera
AU  - C. A. Pittenger
PY  - 2026
DA  - 2026/05/31
PB  - medRxiv
DO  - 10.64898/2026.05.31.26354549
UR  - https://www.medrxiv.org/content/10.64898/2026.05.31.26354549v2
AB  - IntroductionDepression accounts for much of the association between obsessive-compulsive disorder and suicidal ideation in clinical samples, but whether other features carry independent information is unclear. We examined what non-depression features reveal about suicidal ideation.  MethodsAdults with obsessive-compulsive disorder (N = 231) completed measures of quality of life, anxiety, physical symptoms, obsessive-compulsive symptoms and traits, and personality. Elastic net, random forest, and explainable boosting machines identified suicidal ideation (Beck Depression Inventory-II item 9) without depression measures in nested cross-validation. Secondary analyses compared these features with depression severity.  ResultsSixty-six participants (28.6%) endorsed suicidal ideation; 61 of these (92.4%) reported thoughts without intent to act. All models showed similar discrimination (area under the curve = .77-.78), as did depression severity alone (.77). Adding the features to depression severity yielded a small estimated gain (difference = .02, 95% confidence interval: -.03 to .06), and flexible models offered no reliable advantage. Most features, including trait anxiety and obsessive-compulsive symptom severity, were associated with suicidal ideation on their own, but these associations attenuated under mutual adjustment. Lower quality of life remained the clearest correlate.  ConclusionNon-depression features identified suicidal ideation about as well as depression severity, consistent with substantial shared, distress-related information. Clinicians should ask about suicidal ideation directly, whatever a patients depressive symptoms, and consider overall distress in case formulation.
ER  -