Biomarkers associated with future suicide risk enhance predictive performance in psychiatric inpatients - Takeaways - MDSpire
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Biomarkers Linked to Future Suicide Risk Improve Predictive Accuracy in Psychiatric Hospitalized Patients

  • By

  • Zheya Cai

  • Enzhao Zhu

  • Jianmeng Dai

  • Xu Zhang

  • Jiayi Wang

  • Xiuake Bahuojia

  • Ruyi Shui

  • Qiuyi Lu

  • Duoduo Bai

  • Shengbei Liu

  • Ruichen Tang

  • Xin Wang

  • Qianyi Yu

  • Han Yang

  • Guoquan Zhou

  • Siqi Liu

  • Zhihao Chen

  • Yuqin Weng

  • Xinyi Tang

  • Huan Wang

  • Huiqing Pan

  • Tongxing Ou

  • Yue Liu

  • Weiwei Xu

  • Kexin Chen

  • Xunuo Lu

  • Wenjing Wang

  • Xuqi Song

  • Zongyuan Wang

  • Feng Wang

  • Dong Wang

  • Kang Ju

  • Liangliang Chen

  • Yichao Yin

  • Chunbo Li

  • Yanping Zhang

  • Pu Ai

  • Tianyu Ji

  • Weizhong Shi

  • Jiaojiao Hou

  • Fazhan Chen

  • Hui Li

  • Zisheng Ai

  • March 27, 2026

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  • 1

    The study analyzed data from 2785 psychiatric inpatients to evaluate biomarkers associated with suicide risk.

  • 2

    Nine biomarkers were identified as linked to elevated suicide risk, while six showed potential protective effects.

  • 3

    Machine learning models incorporating biomarkers and clinical data achieved an area under the curve of 0.808 for predicting suicide risk.

  • 4

    Propensity score matching was used to minimize confounding factors in the analysis of suicide risk.

  • 5

    The findings suggest that integrating biomarkers into suicide risk assessments may enhance objectivity and predictive accuracy.

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