The Ethics of Risk Prediction for Psychosis and Suicide Attempt in Youth Mental Health

Smith, William; Appelbaum, Paul S.; Lebowitz, Matthew S.; Gülöksüz, Sinan; Calkins, Monica E.; Kohler, Christian G.; Gur, Raquel E.; Barzilay, Ran

doi:10.1016/j.jpeds.2023.113583

Cited by 1 publication

(1 citation statement)

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“…Third, our approach allows identification of exposures associated with suicide attempt that are included in the exposomic score, which can improve interpretability for patients and clinicians, and might consequently help increase acceptance of exposomic scores as decision support tools in the future . Additionally, more community engagement work is needed to address the ethical challenges of using exposomic scores for risk classification in clinical settings …”

Section: Discussionmentioning

confidence: 99%

Classification of Suicide Attempt Risk Using Environmental and Lifestyle Factors in 3 Large Youth Cohorts

Visoki,

Moore,

Zhang

et al. 2024

JAMA Psychiatry

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ImportanceSuicide is the third-leading cause of death among US adolescents. Environmental and lifestyle factors influence suicidal behavior and can inform risk classification, yet quantifying and incorporating them in risk assessment presents a significant challenge for reproducibility and clinical translation.ObjectiveTo quantify the aggregate contribution of environmental and lifestyle factors to youth suicide attempt risk classification.Design, Setting, and ParticipantsThis was a cohort study in 3 youth samples: 2 national longitudinal cohorts from the US and the UK and 1 clinical cohort from a tertiary pediatric US hospital. An exposome-wide association study (ExWAS) approach was used to identify risk and protective factors and compute aggregate exposomic scores. Logistic regression models were applied to test associations and model fit of exposomic scores with suicide attempts in independent data. Youth from the Adolescent Brain Cognitive Development (ABCD) study, the UK Millennium Cohort Study (MCS), and the Children’s Hospital of Philadelphia emergency department (CHOP-ED) were included in the study.ExposuresA single-weighted exposomic score that sums significant risk and protective environmental/lifestyle factors.Main Outcome and MeasureSelf-reported suicide attempt.ResultsA total of 40 364 youth were included in this analysis: 11 564 from the ABCD study (3 waves of assessment; mean [SD] age, 12.0 [0.7] years; 6034 male [52.2%]; 344 attempted suicide [3.0%]; 1154 environmental/lifestyle factors were included in the ABCD study), 9000 from the MCS cohort (mean [SD] age, 17.2 [0.3] years; 4593 female [51.0%]; 661 attempted suicide [7.3%]; 2864 environmental/lifestyle factors were included in the MCS cohort), and 19 800 from the CHOP-ED cohort (mean [SD] age, 15.3 [1.5] years; 12 937 female [65.3%]; 2051 attempted suicide [10.4%]; 36 environmental/lifestyle factors were included in the CHOP-ED cohort). In the ABCD discovery subsample, ExWAS identified 99 risk and protective exposures significantly associated with suicide attempt. A single weighted exposomic score that sums significant risk and protective exposures was associated with suicide attempt in an independent ABCD testing subsample (odds ratio [OR], 2.2; 95% CI, 2.0-2.6; P &lt; .001) and explained 17.6% of the variance (based on regression pseudo-R2) in suicide attempt over and above that explained by age, sex, race, and ethnicity (2.8%) and by family history of suicide (6.3%). Findings were consistent in the MCS and CHOP-ED cohorts (explaining 22.6% and 19.3% of the variance in suicide attempt, respectively) despite clinical, demographic, and exposure differences. In all cohorts, compared with youth at the median quintile of the exposomic score, youth at the top fifth quintile were substantially more likely to have made a suicide attempt (OR, 4.3; 95% CI, 2.6-7.2 in the ABCD study; OR, 3.8; 95% CI, 2.7-5.3 in the MCS cohort; OR, 5.8; 95% CI, 4.7-7.1 in the CHOP-ED cohort).Conclusions and RelevanceResults suggest that exposomic scores of suicide attempt provided a generalizable method for risk classification that can be applied in diverse samples from clinical or population settings.

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Section: Discussionmentioning

confidence: 99%