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  • Using natural language processing to extract self-harm and suicidality data from a clinical sample of patients with eating disorders: a retrospective cohort study

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Using natural language processing to extract self-harm and suicidality data from a clinical sample of patients with eating disorders: a retrospective cohort study
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  • Published on: 9 May 2022
    Self-harm and suicidality in patients with eating disorders with special reference to comorbid psychiatric disorder

    Cliffe et al. conducted a retrospective cohort study to determine the risk of self-harm and suicidality in patients with eating disorders (1). The odds ratios (ORs) (95% confidence intervals) of patients reporting either self-harm or suicidality for a diagnosis of anorexia nervosa (AN) were 3.44 (1.05 to 11.3) and 8.20 (2.17 to 30.1), respectively. The authors also reported that patients reporting either self-harm or suicidality have a risk of have a diagnosis of borderline personality disorder, bipolar disorder or substance misuse disorder, and I have a query about their study.

    The authors also conducted a multivariable logistic regression analysis, and I recommend adopting adjusted ORs as a preferable evidence. AN and bulimia nervosa may present different risk of self-harm and suicidality in patients with eating disorders, and causal association may be difficult to be confirmed by an epidemiological study. According to multivariable analysis, the adjusted ORs of depression, bipolar disorder, personality disorder excepting borderline diagnosis, alcohol use disorder and substance misuse were significantly associated with self-harm or suicidality in patients with eating disorder. Anyway, time trend analysis by using incidence data of eating disorder, comorbid diagnosis, self-harm and suicidality should be conducted for determining causal association.

    References
    1. Cliffe C, Seyedsalehi A, Vardavoulia K, et al. Using natural language processing to extract...

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    Conflict of Interest:
    None declared.