Identification of Risk Factors for Suicidal Ideation and Attempt Based on Machine Learning Algorithms: A Longitudinal Survey in Korea (2007-2019).
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ABSTRACT:
SUBMITTER: Choi J
PROVIDER: S-EPMC8657265 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Background and aimDepression is often accompanied by thoughts of self-harm, which are a strong predictor of subsequent suicide attempt and suicide death. Few empirical data are available regarding the temporal correlation between depression symptoms and suicidal ideation. We investigated the anecdotal concern that suicidal ideation may increase during a period of depression improvement.DataLongitudinal Patient Health Questionnaire (PHQ)-9 is a questionnaire of 9 multiple-choice questions to assess the frequency of depressive symptoms within the previous two weeks. We analyzed a chronic depression treatment population's electronic health record (EHR) data, containing 610 patients' longitudinal PHQ-9 scores (62% age 45 and older; 68% female) within 40 weeks.MethodsThe irregular and sparse EHR data were transformed into continuous trajectories using Gaussian process regression. We first estimated the correlations between the symptoms (total score of the first 8 questions; PHQ-8) and suicide ideation (9th question score; Item 9) using the cross-correlation function. We then used an artificial neural network (ANN) to discover subtypes of depression patterns from the fitted depression trajectories. In addition, we conducted a separate analysis using the unfitted raw PHQ scores to examine PHQ-8's and Item 9's pattern changes.ResultsResults showed that the majority of patients' PHQ-8 and Item 9 scores displayed strong temporal correlations. We found five patterns in the PHQ-8 and the Item 9 trajectories. We also found 8% - 13% of the patients have experienced an increase in suicidal ideation during the improvement of their PHQ-8. Using a trajectory-based method for subtype pattern detection in depression progression, we provided a better understanding of temporal correlations between depression symptoms over time.
| S-EPMC6754154 | biostudies-literature
Project description:The patient expressing suicidal ideation is a common mental health presentation in the emergency department (ED) but a notion exists that this psychiatric crisis precludes them from research participation. In order to better understand the potential research participation of suicidal patients, this study surveyed patients in the ED with suicide attempt or ideation. This was an anonymized survey study interviewing 50 patients in a tertiary care ED with a chief complaint of suicide attempt or suicidal ideation. A script was read by the research assistant regarding a hypothetical research study using ketamine to treat suicidality in the ED and asked to rate their interest in participation in the study as well as their interest in a 1-week follow-up call. Most patients (84%) reported that they would be interested in participating in this research project while 96% of all 50 patients would be interested in a follow-up phone call at 1 week. The data from this study should help other emergency medicine and psychiatry researchers advance projects in this underserved ED patient population.
| S-EPMC10704937 | biostudies-literature
Project description:BackgroundGiven the relatively high rates of suicidal ideation and attempt among people with chronic pain, there is a need to understand the underlying factors to target suicide prevention efforts. To date, no study has examined the association between pain phenotypes and suicide related behaviors among those with mild traumatic brain injuries.ObjectiveTo determine if pain phenotypes were independently associated with suicidal ideation / attempt or if comorbidities within the pain phenotypes account for the association between pain phenotypes and suicide related behaviors.MethodsThis is a longitudinal retrospective cohort study of suicide ideation/attempts among pain phenotypes previously derived using general mixture latent variable models of the joint distribution of repeated measures of pain scores and pain medications/treatment. We used national VA inpatient, outpatient, and pharmacy data files for Post-9/11 Veterans with mild traumatic injury who entered VA care between fiscal years (FY) 2007 and 2009. We considered a counterfactual causal modeling framework to assess the extent that the pain phenotypes during years 1-5 of VA care were predictive of suicide ideation/attempt during years 6-8 of VA care conditioned on covariates being balanced between pain phenotypes.ResultsWithout adjustment, pain phenotypes were significant predictors of suicide related behaviors. When we used propensity scores to balance the comorbidities present in the pain phenotypes, the pain phenotypes were no longer significantly associated with suicide related behaviors.ConclusionThese findings suggest that suicide ideation/attempt is associated with pain trajectories primarily through latent multimorbidity. Therefore, it is critical to identify and manage comorbidities (e.g., depression, post-traumatic stress disorder) to prevent tragic outcomes associated with suicide related behaviors throughout the course of chronic pain and mild traumatic brain injury management.
| S-EPMC9053801 | biostudies-literature
Project description:Suicide is the second leading cause of death among high school-aged youths 14-18 years after unintentional injuries. This report summarizes data regarding suicidal ideation (i.e., seriously considered suicide) and behaviors (i.e., made a suicide plan, attempted suicide, and made a suicide attempt requiring medical treatment) from CDC's 2019 Youth Risk Behavior Survey. Results are reported overall and by sex, grade, race/ethnicity, sexual identity, and sex of sexual contacts, overall and within sex groups. Trends in suicide attempts during 2009-2019 are also reported by sex, race/ethnicity, and grade. During 2009-2019, prevalence of suicide attempts increased overall and among female, non-Hispanic white, non-Hispanic black, and 12th-grade students. Data from 2019 reflect substantial differences by demographics regarding suicidal ideation and behaviors. For example, during 2019, a total of 18.8% of students reported having seriously considered suicide, with prevalence estimates highest among females (24.1%); white non-Hispanic students (19.1%); students who reported having sex with persons of the same sex or with both sexes (54.2%); and students who identified as lesbian, gay, or bisexual (46.8%). Among all students, 8.9% reported having attempted suicide, with prevalence estimates highest among females (11.0%); black non-Hispanic students (11.8%); students who reported having sex with persons of the same sex or with both sexes (30.3%); and students who identified as lesbian, gay, or bisexual (23.4%). Comprehensive suicide prevention can address these differences and reduce prevalence of suicidal ideation and behaviors by implementing programs, practices, and policies that prevent suicide (e.g., parenting programs), supporting persons currently at risk (e.g., psychotherapy), preventing reattempts (e.g., emergency department follow-up), and attending to persons who have lost a friend or loved one to suicide.
| S-EPMC7440198 | biostudies-literature
Project description:Methods relying on diagnostic codes to identify suicidal ideation and suicide attempt in Electronic Health Records (EHRs) at scale are suboptimal because suicide-related outcomes are heavily under-coded. We propose to improve the ascertainment of suicidal outcomes using natural language processing (NLP). We developed information retrieval methodologies to search over 200 million notes from the Vanderbilt EHR. Suicide query terms were extracted using word2vec. A weakly supervised approach was designed to label cases of suicidal outcomes. The NLP validation of the top 200 retrieved patients showed high performance for suicidal ideation (area under the receiver operator curve [AUROC]: 98.6, 95% confidence interval [CI] 97.1-99.5) and suicide attempt (AUROC: 97.3, 95% CI 95.2-98.7). Case extraction produced the best performance when combining NLP and diagnostic codes and when accounting for negated suicide expressions in notes. Overall, we demonstrated that scalable and accurate NLP methods can be developed to identify suicidal behavior in EHRs to enhance prevention efforts, predictive models, and precision medicine.
| S-EPMC9452591 | biostudies-literature
Project description:BackgroundWhile clinicians are expected to routinely assess and address suicide risk, existing data provide little guidance regarding the significance of visit-to-visit changes in suicidal ideation.MethodsElectronic health records from four large healthcare systems identified patients completing the Patient Health Questionnaire or PHQ9 at outpatient visits. For patients completing two questionnaires within 90 days, health system records and state vital records were used to identify nonfatal and fatal suicide attempts. Analyses examined how changes in PHQ9 item 9 responses between visits predicted suicide attempt or suicide death over 90 days following the second visit.ResultsAnalyses included 430,701 pairs of item 9 responses for 118,696 patients. Among patients reporting thoughts of death or self-harm "nearly every day" at the first visit, risk of suicide attempt after the second visit ranged from approximately 2.0% among those reporting continued thoughts "nearly every day" down to 0.5% among those reporting a decrease to "not at all." Among those reporting thoughts of death or self-harm "not at all" at the first visit, risk of suicide attempt following the second visit ranged from approximately 0.2% among those continuing to report such thoughts "not at all" up to 1.2% among those reporting an increase to "nearly every day".ConclusionsResolution of suicidal ideation between visits does imply a clinically important reduction in short-term risk, but prior suicidal ideation still implies significant residual risk. Onset of suicidal ideation between visits does not imply any special elevation compared to ongoing suicidal ideation. Risk is actually highest for patients repeatedly reporting thoughts of death or self-harm.
| S-EPMC5870867 | biostudies-literature
Project description:ObjectivesThis study was performed to explore socioeconomic factors associated with suicidal ideation and suicidal attempts among the local community's resident elderly.MethodsThe subjects included 129,277 participants aged 65 years or above of the Korea Community Health Survey conducted in 2013 and 2017. Based on the questions for suicidal ideation and suicidal attempts, the subjects were divided into a no suicidal ideation group (n=111,344), a suicidal ideation group (n=17,487), and a suicidal attempt group (n=446). All analyses were stratified by gender, and a complex sample logistic regression analysis was performed to analyze associated factors. SAS version 9.4 was used for all analyses with a significance level of 0.05.ResultsCommon factors associated with suicidal ideation in both genders included marital status, frequency of contact with friends, social activity, and average monthly household income. Economic activity was demonstrated as relevant only to the elderly men subjects. According to the analysis, factors associated with suicidal attempts were the recipients of the National Basic Living Security Act for the elderly men compared to age, frequency of contact with family, frequency of contact with friends, and average monthly household income for the elderly women.ConclusionsThe study revealed that socioeconomic factors leading to suicidal ideation were similar in the elderly of both genders, while a difference was demonstrated for factors associated with suicidal attempts between the elderly of both genders. It is expected that the results of this study may be used as the basis for screening the local community's elderly with a high suicidal risk, and in the development of suicide prevention services.
| S-EPMC7871144 | biostudies-literature
Project description:BackgroundMedical training poses significant challenge to medical student wellbeing. With the alarming trend of trainee burnout, mental illness, and suicide, previous studies have reported potential risk factors associated with suicidal behaviours among medical students. The objective of this study is to provide a systematic overview of risk factors for suicidal ideation (SI) and suicide attempt (SA) among medical students and summarize the overall risk associated with each risk factor using a meta-analytic approach.MethodsSystemic search of six electronic databases including MEDLINE, Embase, Education Source, Scopus, PsycInfo, and CINAHL was performed from database inception to March 19, 2021. Studies reporting original quantitative or epidemiological data on risk factors associated with SI and SA among undergraduate medical students were included. When two or more studies reported outcome on the same risk factor, a random-effects inverse variance meta-analysis was performed to estimate the overall effect size.ResultsOf 4,053 articles identified, 25 studies were included. Twenty-two studies reported outcomes on SI risk factors only, and three studies on both SI and SA risk factors. Meta-analysis was performed on 25 SI risk factors and 4 SA risk factors. Poor mental health outcomes including depression (OR 6.87; 95% CI [4.80-9.82] for SI; OR 9.34 [4.18-20.90] for SA), burnout (OR 6.29 [2.05-19.30] for SI), comorbid mental illness (OR 5.08 [2.81-9.18] for SI), and stress (OR 3.72 [1.39-9.94] for SI) presented the strongest risk for SI and SA among medical students. Conversely, smoking cigarette (OR 1.92 [0.94-3.92]), family history of mental illness (OR 1.79 [0.86-3.74]) and suicidal behaviour (OR 1.38 [0.80-2.39]) were not significant risk factors for SI, while stress (OR 3.25 [0.59-17.90]), female (OR 3.20 [0.95-10.81]), and alcohol use (OR 1.41 [0.64-3.09]) were not significant risk factors for SA among medical students.ConclusionsMedical students face a number of personal, environmental, and academic challenges that may put them at risk for SI and SA. Additional research on individual risk factors is needed to construct effective suicide prevention programs in medical school.
| S-EPMC8694469 | biostudies-literature
Project description:BackgroundSeveral original studies have investigated the effect of alcohol use disorder (AUD) on suicidal thought and behavior, but there are serious discrepancies across the studies. Thus, a systematic assessment of the association between AUD and suicide is required.MethodsWe searched PubMed, Web of Science, and Scopus until February 2015. We also searched the Psycinfo web site and journals and contacted authors. We included observational (cohort, case-control, and cross-sectional) studies addressing the association between AUD and suicide. The exposure of interest was AUD. The primary outcomes were suicidal ideation, suicide attempt, and completed suicide. We assessed heterogeneity using Q-test and I2 statistic. We explored publication bias using the Egger's and Begg's tests and funnel plot. We meta-analyzed the data with the random-effects models. For each outcome we calculated the overall odds ratio (OR) or risk ratio (RR) with 95% confidence intervals (CI).ResultsWe included 31 out of 8548 retrieved studies, with 420,732 participants. There was a significant association between AUD and suicidal ideation (OR=1.86; 95% CI: 1.38, 2.35), suicide attempt (OR=3.13; 95% CI: 2.45, 3.81); and completed suicide (OR=2.59; 95% CI: 1.95, 3.23 and RR=1.74; 95% CI: 1.26, 2.21). There was a significant heterogeneity among the studies, but little concern to the presence of publication bias.ConclusionsThere is sufficient evidence that AUD significantly increases the risk of suicidal ideation, suicide attempt, and completed suicide. Therefore, AUD can be considered an important predictor of suicide and a great source of premature death.
| S-EPMC4439031 | biostudies-literature
Project description:ObjectiveSexual and gender minority youths are more likely to consider, attempt, and die by suicide than are heterosexual and cisgender youths, yet little is known about how to predict future attempts or transitions from suicidal thoughts to behaviors. Additionally, adaptive measurement of psychopathology is a promising approach that may help characterize risk in this population. This study examined the validity of the Computerized Adaptive Test for Suicide Scale (CAT-SS) in predicting suicide attempts and the transition from suicidal ideation to attempt.MethodsThe CAT-SS was administered to participants of two ongoing cohort studies of sexual and gender minority adolescents and young adults (N=1,006). Survival analyses examined longitudinal associations between CAT-SS scores and time to suicide attempt. Analyses were conducted for the full sample and stratified by those with and without a history of suicidal ideation, with comparisons between adaptive and static measures of depressive symptoms.ResultsThe CAT-SS predicted future suicide attempts in the overall sample (hazard ratio [HR]=1.34, 95% confidence interval [CI]=1.03-1.74). Among youths without a history of suicidal ideation, social support reduced the risk for attempts (HR=0.66, 95% CI=0.45-0.96). Among youths with a history of ideation, predictors of the transition from suicidal thoughts to attempts included baseline CAT-SS score (HR=1.51, 95% CI=1.06-2.15) and victimization (HR=2.48, 95% CI=1.10-5.59).ConclusionsRisk and protective factors for suicide attempts differed between youths with and without a history of suicidal thoughts. The CAT-SS had validity in predicting future risk of the sample overall and of youths with suicidal ideation.
| S-EPMC8570968 | biostudies-literature