Development and validation of a nomogram for suicide attempts in patients with first-episode drug-naïve major depressive disorder
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View abstract on PubMed
Summary
This summary is machine-generated.This study developed a nomogram to predict suicide attempts in first-episode drug-naïve major depressive disorder patients. The tool aids early detection and intervention for suicide prevention.
Area Of Science
- Psychiatry and Clinical Psychology
- Medical Informatics
- Biostatistics
Background
- Accurate identification of suicide risk is crucial for effective intervention.
- First-episode drug-naïve (FEDN) major depressive disorder (MDD) patients represent a vulnerable population for suicide attempts (SA).
- Developing predictive tools for SA in this group is essential for suicide prevention.
Purpose Of The Study
- To develop and validate a nomogram for predicting suicide attempts (SA) in patients with first-episode drug-naïve (FEDN) major depressive disorder (MDD).
- To identify key clinical factors associated with SA in this specific patient cohort.
Main Methods
- Cross-sectional analysis of 1,718 FEDN MDD patients.
- Data collection included sociodemographics, Hamilton Depression (HAMD-17) and Anxiety (HAMA) scales, thyroid hormones, lipid profiles, and fasting blood glucose.
- LASSO analysis and multivariate regression identified risk factors; a nomogram was constructed and validated internally using AUC and calibration plots.
Main Results
- A nomogram incorporating HAMD, HAMA, TSH, TPOAb, and SBP was developed for SA risk prediction in FEDN MDD patients.
- The nomogram demonstrated good predictive accuracy with AUCs of 0.802 (training) and 0.821 (validation).
- Calibration analysis and decision curve analysis confirmed the nomogram's reliability and clinical applicability.
Conclusions
- A validated nomogram effectively predicts suicide attempt risk in FEDN MDD patients.
- This tool can aid clinicians in early detection and targeted suicide prevention strategies.
- An online version is available to enhance accessibility for clinicians and researchers.
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