Psychotic experiences and suicide attempt risk in common mental disorders and borderline personality disorder

Kelleher, Ian; Ramsay, Hugh; DeVylder, Jordan

doi:10.1111/acps.12693

Cited by 41 publications

(34 citation statements)

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“…These finding are consistent with previous studies. 13,27 and lend weight to the hypothesis that the experience of PEs even in the absence of mental disorders may be sufficient to influence the subsequent onset of STBs. This is an important finding from a clinical point of view because it suggests that PEs may be a predictor of subsequent STBs even in individuals who do not meet criteria for mental disorders.…”

Section: Discussionmentioning

confidence: 92%

Association Between Psychotic Experiences and Subsequent Suicidal Thoughts and Behaviors

et al. 2017

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IMPORTANCE Community-based studies have linked psychotic experiences (PEs) with increased risks of suicidal thoughts and behaviors (STBs). However, it is not known if these associations vary across the life-course or if mental disorders (antecedent to the STBs) contribute to these associations. OBJECTIVE To examine the temporal association between PEs and subsequent STBs across the life span as well as the influence of mental disorders (antecedent to the STBs) on these associations. DESIGN, SETTING, AND PARTICIPANTS A total of 33,370 adult respondents across 19 countries from the WHO World Mental Health (WMH) Surveys were assessed for PEs, STBs (ideation, plans, and attempts), and 21 DSM-IV mental disorders. Discrete-time survival analysis was used to investigate the associations of PEs with subsequent onsets of STBs. MAIN OUTCOMES AND MEASURES Prevalence and frequency of STBs with PEs, and odds ratios and 95%CIs. Results Of 33 370 included participants, among those with PEs (n = 2488), the lifetime prevalence (SE) of suicidal ideation, plans, and attempts was 28.5%(1.3), 10.8%(0.7), and 10.2%(0.7), respectively. Respondents with 1 or more PEs had 2-fold increased odds of subsequent STBs after adjusting for antecedent or intervening mental disorders (suicidal ideation: odds ratio, 2.2; 95%CI, 1.8-2.6; suicide plans: odds ratio, 2.1; 95%CI, 1.7-2.6; and suicide attempts: odds ratio, 1.9; 95%CI, 1.5-2.5). There were significant dose-response relationships of number of PE types with subsequent STBs that persisted after adjustment for mental disorders. Although PEs were significant predictors of subsequent STB onset across all life stages, associations were strongest in individuals 12 years and younger. After adjustment for antecedent mental disorders, the overall population attributable risk proportions for lifetime suicidal ideation, plans, and attempts associated with temporally prior PEs were 5.3%, 5.7%, and 4.8%, respectively. Conclusions PEs are associated with elevated odds of subsequent STBs across the life-course that cannot be explained by antecedent mental disorders. These results highlight the importance of including information about PEs in screening instruments designed to predict STBs.

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Section: Discussionmentioning

confidence: 92%

Association Between Psychotic Experiences and Subsequent Suicidal Thoughts and Behaviors

et al. 2017

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“…The patients having mental disorders are subject to certain risk of suicide related death [15]. On the contrary, some severe adverse events of the drugs might also cause death.…”

Section: Resultsmentioning

confidence: 99%

Post-marketing Drug Safety Evaluation Using Data Mining Based on FAERS

Duan

Zhang

et al. 2017

Data Mining and Big Data

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Healthcare is going through a big data revolution. The amount of data generated by healthcare is expected to increase significantly in the coming years. Therefore, efficient and effective data processing methods are required to transform data into information. In addition, applying statistical analysis can transform the information into useful knowledge. We developed a data mining method that can uncover new knowledge in this enormous field for clinical decision making while generating scientific methods and hypotheses. The proposed pipeline can be generally applied to a variety of data mining tasks in medical informatics. For this study, we applied the proposed pipeline for post-marketing surveillance on drug safety using FAERS, the data warehouse created by FDA. We used 14 kinds of neurology drugs to illustrate our methods. Our result indicated that this approach can successfully reveal insight for further drug safety evaluation.

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“…The scores from each of the criteria (yes = 1 and no = 0) were added to create a scale ranging from 0-9 (Cronbach's alpha 0.74). Following the lead of a previous publication using the same dataset (Kelleher, Ramsay, & DeVylder, 2017), the cutoff to represent high BPD traits was based on a figure that corresponds to a prevalence which is approximately 10 times higher than that of BPD (0.4% in this dataset). Specifically, a score of ≥6 was used as the cutoff to construct the dichotomous variable subsequently used in the analyses, with a score of ≥6 coded as 1 and a score of <6 coded as 0.…”

Section: Bpd Traitsmentioning

confidence: 99%

Attention deficit hyperactivity disorder symptoms and disordered eating in the English general population

Jacob

Haro

Koyanagi

2018

Intl J Eating Disorders

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Psychotic experiences and suicide attempt risk in common mental disorders and borderline personality disorder

Abstract: Psychotic experiences are associated with high odds of suicidal behaviour in individuals with and without psychopathology. This relationship is not explained by clinical or subclinical BPD.

Cited by 41 publications

References 45 publications

Association Between Psychotic Experiences and Subsequent Suicidal Thoughts and Behaviors

Association Between Psychotic Experiences and Subsequent Suicidal Thoughts and Behaviors

Post-marketing Drug Safety Evaluation Using Data Mining Based on FAERS

Attention deficit hyperactivity disorder symptoms and disordered eating in the English general population

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