Self-HArm one-year Risk Prediction in personality disorders (SHARP-PD): a clinical risk prediction model development and internal-external cross-validation study

Background.Personality-disorders (PDs) are associated with markedly-increased risk of selfharm.We aimed to develop and validate a risk-prediction model (Self-HArm one-year Risk Prediction in personality disorders [SHARP-PD]) to predict 1-year self-harm in people with newly-diagnosed PD.Methods.This population-based study identified individuals with first-recorded diagnosis of PD in 2002-2021, utilising an electronic-health-record database of public-healthcare service in Hong-Kong.SHARP-PD was developed using binary-logistic-regression model, with Least-Absolute-Shrinkage-and-Selection-Operator penalisation.Model performance was assessed through internal-external cross-validation (IECV), sequentially leaving out one cluster from the seven healthcare-catchment areas for validation and averaging performance across seven clusters via random-effect meta-analysis.Predictors for model development included socio-demographic characteristics, psychiatric and physical morbidities, psychotropic medication use, history of selfpoisoning and self-inflicting injuries, and psychiatric service utilisation.Results.Among 6229 patients with PD, 608 (9.8%) performed self-harm at 1-year post-diagnosis.The model exhibited excellent performance in IECV: area-under-the-curve 0.93 (0.92-0.94);Brier-score 0.06 (0.05-0.06); calibration-slope 1.01 (0.95-1.08); calibration-intercept 0.02 (-0.14-0.19);integrated-calibration-index 0.15 (0.11-0.19); observed/expected-ratio 1.00 (0.92-1.08).Decision-curve-analysis showed that SHARP-PD provided greater net-benefit than the treat-all and treat-none strategies starting from the threshold probability of 1%.The model performance remained largely-consistent in sensitivity-analyses excluding predictors with near-zero prevalence, complete-case analyses, including longer washout period for incident PD diagnosis, and restricting to non-fatal self-harm in outcome definition, and across key socio-demographic subgroups of sex, age categories, and borderline PD.

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Publication Details

Journal
European Psychiatry
Published
2026-11-03
DOI
https://doi.org/10.1192/j.eurpsy.2026.12271
Primary Topic
Personality Disorders and Psychopathology
Type
article
Field-Weighted Citation Impact
0.00
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article

Self-HArm one-year Risk Prediction in personality disorders (SHARP-PD): a clinical risk prediction model development and internal-external cross-validation study

Pak Chung Sham, Corine Sau Man Wong, Joe Kwun Nam Chan, Simon S. Y. Lui et al.
European Psychiatry
Personality Disorders and Psychopathology
article

Self-HArm one-year Risk Prediction in personality disorders (SHARP-PD): a clinical risk prediction model development and internal-external cross-validation study

Pak Chung Sham, Corine Sau Man Wong, Joe Kwun Nam Chan, Simon S. Y. Lui, Wing Chung Chang, Hon Cheong So, Ivan Wai Lok Chu
article en

Abstract

Background.Personality-disorders (PDs) are associated with markedly-increased risk of selfharm.We aimed to develop and validate a risk-prediction model (Self-HArm one-year Risk Prediction in personality disorders [SHARP-PD]) to predict 1-year self-harm in people with newly-diagnosed PD.Methods.This population-based study identified individuals with first-recorded diagnosis of PD in 2002-2021, utilising an electronic-health-record database of public-healthcare service in Hong-Kong.SHARP-PD was developed using binary-logistic-regression model, with Least-Absolute-Shrinkage-and-Selection-Operator penalisation.Model performance was assessed through internal-external cross-validation (IECV), sequentially leaving out one cluster from the seven healthcare-catchment areas for validation and averaging performance across seven clusters via random-effect meta-analysis.Predictors for model development included socio-demographic characteristics, psychiatric and physical morbidities, psychotropic medication use, history of selfpoisoning and self-inflicting injuries, and psychiatric service utilisation.Results.Among 6229 patients with PD, 608 (9.8%) performed self-harm at 1-year post-diagnosis.The model exhibited excellent performance in IECV: area-under-the-curve 0.93 (0.92-0.94);Brier-score 0.06 (0.05-0.06); calibration-slope 1.01 (0.95-1.08); calibration-intercept 0.02 (-0.14-0.19);integrated-calibration-index 0.15 (0.11-0.19); observed/expected-ratio 1.00 (0.92-1.08).Decision-curve-analysis showed that SHARP-PD provided greater net-benefit than the treat-all and treat-none strategies starting from the threshold probability of 1%.The model performance remained largely-consistent in sensitivity-analyses excluding predictors with near-zero prevalence, complete-case analyses, including longer washout period for incident PD diagnosis, and restricting to non-fatal self-harm in outcome definition, and across key socio-demographic subgroups of sex, age categories, and borderline PD.

European Psychiatry
Chinese University of Hong Kong (HK), Queen Mary Hospital (CN), University of Hong Kong (HK)
Openalex Percentile: Top 10%
Personality Disorders and Psychopathology
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