Evaluation of clinical prognostic models for suicide attempts after a major depressive episode

TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records

Deep learning transformer-based models using longitudinal electronic health records (EHRs) have shown a great success in prediction of clinical diseases or outcomes. Pretraining on a large dataset can help such models map the input space better and boost their performance on relevant tasks through finetuning with limited data. In this study, we present TransformEHR, a generative encoder-decoder model with transformer that is pretrained using a new pretraining objective-predicting all diseases and outcomes of a patient at a future visit from previous visits. TransformEHR's encoder-decoder framework, paired with the novel pretraining objective, helps it achieve the new state-of-the-art performance on multiple clinical prediction tasks. Comparing with the previous model, TransformEHR improves area under the precision-recall curve by 2% (p < 0.001) for pancreatic cancer onset and by 24% (p = 0.007) for intentional self-harm in patients with post-traumatic stress disorder. The high performance in predicting intentional self-harm shows the potential of TransformEHR in building effective clinical intervention systems. TransformEHR is also generalizable and can be easily finetuned for clinical prediction tasks with limited data.

Clinical predictors of suicidal ideation, suicide attempts and suicide death in depressive disorder: a systematic review and meta-analysis

Patients with depressive disorders are especially prone to suicide risk. Among the clinical predictors of suicidality, those specifically related to depressive disorders have not been accurately detailed. Our aim was to conduct a systematic review and meta-analysis of studies reporting longitudinal predictors of suicidal ideation, suicide attempts and suicide death within depression, including diagnostic subtypes, symptoms, clinical course, and assessment scales. A systematic search of the literature between 2001 and 2022 identified 4422 references, among which 19 studies providing 45 different predictors of suicidality met the inclusion criteria. Random effects meta-analyses were performed for 22 predictors, three for suicidal ideation, eleven for suicide attempts and eight for suicide death. Heterogeneity and publication bias were inspected through I2 tests and Egger's tests respectively. Meta-analysis results showed that severity of hopelessness predicted suicidal ideation and suicide attempts. History of suicide attempts, suicidal ideation, severe depression, and psychotic symptoms predicted subsequent suicide attempts and suicide death. Time to full remission and sleep disturbances were also found as relevant predictors of future suicide behaviours. This review specifies which predictors of suicidality within the clinical features of depression will help clinicians and policy makers to better prevent suicide risk in patients with depressive disorders. Further longitudinal studies are needed to reliably assess the predictive ability of our results and to analyse other possible clinical predictors to prevent suicidality, especially with regard to suicidal ideation.

Suicide ideation among Brazilian college students: Relationship with academic factors, mental health, and sexual abuse

BACKGROUND

Suicide is one of the leading causes of death among youth and its occurrence among college students is a matter of great concern. Challenges of transitional adulting and mental illness increase the likelihood of suicidal cognition in students. The objective of present study was to investigate the prevalence of suicide ideation and associated factors in a representative sample of Brazilian college students (n = 12,245).

METHODS

Data were drawn from a nationwide survey and further subjected to estimate the prevalence of suicide ideation and its association with socio-demographic and academic characteristics. We performed logistic regression analyses upon a conceptual framework, considering individual and academic factors.

RESULTS

The point-prevalence of suicide ideation among college students was 5.9 % (SE = 0.37). In the final regression model, variables associated with the likelihood of suicide ideation were psychopathology, sexual abuse, and academic variables, such as dissatisfaction with the chosen undergraduate course (OR = 1.86; IC95 % 1.43-2.41) and low academic performance (OR = 3.56; IC95 % 1.69-7.48). Having children and religious affiliation were inversely associated with the likelihood of suicide ideation.

LIMITATIONS

Participants were recruited from state capitals, which limited data generalizability to non-urban college students.

CONCLUSIONS

The impact of academic life on the mental health of students should be carefully monitored in in-campus pedagogical and health services. Early identification of poor-performance students with social disadvantages could indicate vulnerable ones who are much in need of psycho-social support.

Clinical features of individuals with schizotypal personality disorder with and without suicidal ideation

This study compared demographic and clinical features in a sample of 384 participants: healthy controls (HC; n = 166) and individuals with schizotypal personality disorder (SPD) with (n = 50) and without (n = 168) suicidal ideation (SI) to examine specific risk factors for suicidality in SPD. Compared to the non-SI group, the SI group showed significantly greater severity of depression, aggression, impulsivity, affective lability, schizotypal features, poorer social adjustment, and had fewer social contacts. Individuals in the SI group were also more likely to have a history of a suicide attempt and comorbid borderline personality disorder in comparison to the non-SI group. Logistic regression analysis indicated that severity of depression and the number of social contacts drove the difference between the SI and non-SI groups. Compared with both SPD subgroups, the HC group was significantly less depressed, aggressive, impulsive, affectively labile, had fewer schizotypal features, was better socially adjusted, and had more social contacts. This study indicates that overall, the SI group is a more severely impaired group of individuals with SPD compared to the non-SI group. Better educating medical professionals about the diagnosis and management of SPD and its associations with suicidality is warranted.

Long-Term Suicidal Ideation Profiles in Late-Life Depression and Their Association With Suicide Attempt or Death by Suicide

Objective: In young and middle-aged adults, suicidal ideation is an important predictor of prospective suicide attempts, but its predictive power in late life remains unclear. In this study, we used Latent Profile Analysis (LPA) in a cohort of depressed older adults to identify distinct ideation profiles and their clinical correlates and test their association with risk of suicidal behavior longitudinally.

Methods: A total of 337 depressed older adults (aged 50-93 years) were assessed for suicidal ideation and behavior for up to 14 years (median = 3 years), at least once per year (study period: 2002-2020). LPA was used, which derived 4 profiles of ideation scores based on subject-level aggregates. Groups were compared using analysis of variance (ANOVA) and χ2 tests at baseline and competing risk survival analysis during follow-up.

Results: Ideation showed significant decline over time, on average (P < .001). LPA identified 4 suicidal ideation profiles. Risk of suicide attempt/death was higher for chronic severe ideators (age-adjusted hazard ratio [HR] = 5.75; 95% CI, 2.25-14.7; P < .001) and highly variable ideators (HR = 3.21; 95% CI, 1.03-10.1; P = .045) compared to fast-remitting ideators, despite comparable current ideation severity at baseline. Fast-remitting ideators had higher risk than low/non-ideators with no attempts or suicides (P < .001). Chronic severe ideators displayed the most severe dysfunction across personality, social characteristics, and impulsivity measures, whereas highly variable and fast-remitting ideators displayed specific deficits.

Conclusions: Assessing suicidal ideation over months/years has clinical relevance, as it enabled the identification of distinct ideation patterns associated with substantive differences in clinical presentation and risk of future suicidal behavior despite similar ideation levels at baseline.

Prediction of suicide attempts in a prospective cohort study with a nationally representative sample of the US population

BACKGROUND

There is still little knowledge of objective suicide risk stratification.

METHODS

This study aims to develop models using machine-learning approaches to predict suicide attempt (1) among survey participants in a nationally representative sample and (2) among participants with lifetime major depressive episodes. We used a cohort called the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) that was conducted in two waves and included a nationally representative sample of the adult population in the United States. Wave 1 involved 43 093 respondents and wave 2 involved 34 653 completed face-to-face reinterviews with wave 1 participants. Predictor variables included clinical, stressful life events, and sociodemographic variables from wave 1; outcome included suicide attempt between wave 1 and wave 2.

RESULTS

The model built with elastic net regularization distinguished individuals who had attempted suicide from those who had not with an area under the ROC curve (AUC) of 0.89, balanced accuracy 81.86%, specificity 89.22%, and sensitivity 74.51% for the general population. For participants with lifetime major depressive episodes, AUC was 0.89, balanced accuracy 81.64%, specificity 85.86%, and sensitivity 77.42%. The most important predictor variables were a diagnosis of borderline personality disorder, post-traumatic stress disorder, and being of Asian descent for the model in all participants; and previous suicide attempt, borderline personality disorder, and overnight stay in hospital because of depressive symptoms for the model in participants with lifetime major depressive episodes. Random forest and artificial neural networks had similar performance.

CONCLUSIONS

Risk for suicide attempt can be estimated with high accuracy.

Suicidal and self-harm ideation among Chinese hospital staff during the COVID-19 pandemic: Prevalence and correlates

The COVID-19 pandemic put global medical systems under massive pressure for its uncertainty, severity, and persistence. For detecting the prevalence of suicidal and self-harm ideation (SSI) and its related risk factors among hospital staff during the COVID-19 pandemic, this cross-sectional study collected the sociodemographic data, epidemic-related information, the psychological status and need, and perceived stress and support from 11507 staff in 46 hospitals by an online survey from February 14 to March 2, 2020. The prevalence of SSI was 6.47%. Hospital staff with SSI had high family members or relatives infected number and the self-rated probability of infection. Additionally, they had more perceived stress, psychological need, and psychological impact. On the contrary, hospital staff without SSI reported high self-rated health, willingness to work in a COVID-19 ward, confidence in defeating COVID-19, and perceived support. Furthermore, they reported better marital or family relationship, longer sleep hours, and shorter work hours. The infection of family members or relatives, poor marital status, poor self-rated health, the current need for psychological intervention, perceived high stress, perceived low support, depression, and anxiety were independent factors to SSI. A systematic psychological intervention strategy during a public health crisis was needed for the hospital staff's mental well-being.

Suicide among physicians and health-care workers: A systematic review and meta-analysis

BACKGROUND

Medical-related professions are at high suicide risk. However, data are contradictory and comparisons were not made between gender, occupation and specialties, epochs of times. Thus, we conducted a systematic review and meta-analysis on suicide risk among health-care workers.

METHOD

The PubMed, Cochrane Library, Science Direct and Embase databases were searched without language restriction on April 2019, with the following keywords: suicide* AND (« health care worker* » OR physician* OR nurse*). When possible, we stratified results by gender, countries, time, and specialties. Estimates were pooled using random-effect meta-analysis. Differences by study-level characteristics were estimated using stratified meta-analysis and meta-regression. Suicides, suicidal attempts, and suicidal ideation were retrieved from national or local specific registers or case records. In addition, suicide attempts and suicidal ideation were also retrieved from questionnaires (paper or internet).

RESULTS

The overall SMR for suicide in physicians was 1.44 (95CI 1.16, 1.72) with an important heterogeneity (I2 = 93.9%, p<0.001). Female were at higher risk (SMR = 1.9; 95CI 1.49, 2.58; and ES = 0.67; 95CI 0.19, 1.14; p<0.001 compared to male). US physicians were at higher risk (ES = 1.34; 95CI 1.28, 1.55; p <0.001 vs Rest of the world). Suicide decreased over time, especially in Europe (ES = -0.18; 95CI -0.37, -0.01; p = 0.044). Some specialties might be at higher risk such as anesthesiologists, psychiatrists, general practitioners and general surgeons. There were 1.0% (95CI 1.0, 2.0; p<0.001) of suicide attempts and 17% (95CI 12, 21; p<0.001) of suicidal ideation in physicians. Insufficient data precluded meta-analysis on other health-care workers.

CONCLUSION

Physicians are an at-risk profession of suicide, with women particularly at risk. The rate of suicide in physicians decreased over time, especially in Europe. The high prevalence of physicians who committed suicide attempt as well as those with suicidal ideation should benefits for preventive strategies at the workplace. Finally, the lack of data on other health-care workers suggest to implement studies investigating those occupations.

The Relationship Between Smoking and Suicidal Behavior in Psychiatric Patients with Major Depressive Disorder

Smoking is frequently associated with suicidal behavior, but also with confounding other risk factors. We investigated whether smoking independently predicts suicidal ideation, attempts (SAs), or modifies risk of SAs during major depressive episodes (MDEs). In the Vantaa Depression Study (VDS), a 5-year prospective study of psychiatric patients (N = 269) with major depressive disorder (MDD), we investigated the association of suicidal ideation and smoking, and smoking as an independent risk factor for SAs in 2-level analyses of risk during MDEs. Smoking was not significantly associated with suicidal ideation, nor SAs after controlling for confounding factors, and no evidence of a significant effect during MDEs was found. Smoking was neither significantly associated with suicidal ideation, nor predicted suicide attempts.

A Comparison of Attitudes Toward Suicide Among Individuals With and Without Suicidal Thoughts and Suicide Attempts in South Korea

Abstract. Background: A suicidal person can go through different stages that include suicidal thoughts and suicide attempts. For a few individuals, these can end up with suicide. However, there have been no studies investigating any differences in attitudes toward suicides among individuals with no suicidal thoughts, those with suicidal thoughts, and those with suicide attempts. Aims: This study was carried out to compare attitudes toward suicide among three different groups: individuals with a history of no suicidal thoughts, those with a history of suicidal thoughts, and those with a history of suicide attempts. Method: To examine Koreans' attitudes toward suicide, we analyzed the data from the 2013 National Suicide Survey involving 1,500 participants aged between 19 and 75 years. Results: Different attitudes toward suicide were found among the three groups. Persons reporting that they had made a suicide attempt in their life showed the most permissive attitudes toward suicide. Limitations: Since this research is based on cross-sectional data, it is difficult to eliminate the possibility of changes in attitude toward suicide completely after having a suicidal thought and suicide attempt. Conclusion: These results can be a useful source for constructing effective messages for suicide prevention campaigns and can ultimately contribute to an improvement in the public's perceptions of suicide in the future.

Suicidal ideation and behavior in institutions of higher learning: A latent class analysis

Suicide is the second leading cause of death among undergraduate students, with an annual rate of 7.5 per 100,000. Suicidal behavior (SB) is complex and heterogeneous, which might be explained by there being multiple etiologies of SB. Data-driven identification of distinct at-risk subgroups among undergraduates would bolster this argument. We conducted a latent class analysis (LCA) on survey data from a large convenience sample of undergraduates to identify subgroups, and validated the resulting latent class model on a sample of graduate students. Data were collected through the Interactive Screening Program deployed by the American Foundation for Suicide Prevention. LCA identified 6 subgroups from the undergraduate sample (N = 5654). In the group with the most students reporting current suicidal thoughts (N = 623, 66% suicidal), 22.5% reported a prior suicide attempt, and 97.6% endorsed moderately severe or worse depressive symptoms. Notably, LCA identified a second at-risk group (N = 662, 27% suicidal), in which only 1.5% of respondents noted moderately severe or worse depressive symptoms. When graduate students (N = 1138) were classified using the model, a similar frequency distribution of groups was found. Finding multiple replicable groups at-risk for suicidal behavior, each with a distinct prevalence of risk factors, including a group of students who would not be classified as high risk with depression-based screening, is consistent with previous studies that identified multiple potential etiologies of SB.

Which are the most useful scales for predicting repeat self-harm? A systematic review evaluating risk scales using measures of diagnostic accuracy

OBJECTIVES

The aims of this review were to calculate the diagnostic accuracy statistics of risk scales following self-harm and consider which might be the most useful scales in clinical practice.

DESIGN

Systematic review.

METHODS

We based our search terms on those used in the systematic reviews carried out for the National Institute for Health and Care Excellence self-harm guidelines (2012) and evidence update (2013), and updated the searches through to February 2015 (CINAHL, EMBASE, MEDLINE, and PsychINFO). Methodological quality was assessed and three reviewers extracted data independently. We limited our analysis to cohort studies in adults using the outcome of repeat self-harm or attempted suicide. We calculated diagnostic accuracy statistics including measures of global accuracy. Statistical pooling was not possible due to heterogeneity.

RESULTS

The eight papers included in the final analysis varied widely according to methodological quality and the content of scales employed. Overall, sensitivity of scales ranged from 6% (95% CI 5% to 6%) to 97% (CI 95% 94% to 98%). The positive predictive value (PPV) ranged from 5% (95% CI 3% to 9%) to 84% (95% CI 80% to 87%). The diagnostic OR ranged from 1.01 (95% CI 0.434 to 2.5) to 16.3 (95%CI 12.5 to 21.4). Scales with high sensitivity tended to have low PPVs.

CONCLUSIONS

It is difficult to be certain which, if any, are the most useful scales for self-harm risk assessment. No scales perform sufficiently well so as to be recommended for routine clinical use. Further robust prospective studies are warranted to evaluate risk scales following an episode of self-harm. Diagnostic accuracy statistics should be considered in relation to the specific service needs, and scales should only be used as an adjunct to assessment.

Predictive Modeling and Concentration of the Risk of Suicide: Implications for Preventive Interventions in the US Department of Veterans Affairs

OBJECTIVES

The Veterans Health Administration (VHA) evaluated the use of predictive modeling to identify patients at risk for suicide and to supplement ongoing care with risk-stratified interventions.

METHODS

Suicide data came from the National Death Index. Predictors were measures from VHA clinical records incorporating patient-months from October 1, 2008, to September 30, 2011, for all suicide decedents and 1% of living patients, divided randomly into development and validation samples. We used data on all patients alive on September 30, 2010, to evaluate predictions of suicide risk over 1 year.

RESULTS

Modeling demonstrated that suicide rates were 82 and 60 times greater than the rate in the overall sample in the highest 0.01% stratum for calculated risk for the development and validation samples, respectively; 39 and 30 times greater in the highest 0.10%; 14 and 12 times greater in the highest 1.00%; and 6.3 and 5.7 times greater in the highest 5.00%.

CONCLUSIONS

Predictive modeling can identify high-risk patients who were not identified on clinical grounds. VHA is developing modeling to enhance clinical care and to guide the delivery of preventive interventions.

A Cross-National Tool for Assessing and Studying Suicidal Behaviors

Current methodologies employed in collecting data for suicide research present several limitations. In this article, we describe a novel method and tool to prospectively study suicidal behavior and its related risk and protective factors in different countries. This tool is a web-based database, which will initially be developed and piloted by suicide research groups from Austria, Brazil, Chile, France, Italy, Mexico, Spain, Sweden, and the US. The database will develop and integrate research tools key to collaboration, permit exploration of ethical considerations, and provide a universal interface in English, Spanish, French, Portuguese, Italian, and German that will make it possible to incorporate new groups from different countries to the network. The common database resulting of this cross-national effort will allow researchers to share and compare data across countries in a large sample of patients. Using anonymous electronic records of patients, we will: 1) determine the impact of risk and protective factors (viz. aggression and religious affiliation) in different socio-cultural environments; 2) develop a clinical model of suicidal behavior that integrates the multiple dimensions implicated; 3) try differentiating the effects of biological, environmental, and cultural factors on suicidal behavior, and 4) offer the global psychiatric research community a tool that will standardize assessment across nations, allowing for better generalization.

Prediction by data mining, of suicide attempts in Korean adolescents: a national study

OBJECTIVE

This study aimed to develop a prediction model for suicide attempts in Korean adolescents.

METHODS

We conducted a decision tree analysis of 2,754 middle and high school students nationwide. We fixed suicide attempt as the dependent variable and eleven sociodemographic, intrapersonal, and extrapersonal variables as independent variables.

RESULTS

The rate of suicide attempts of the total sample was 9.5%, and severity of depression was the strongest variable to predict suicide attempt. The rates of suicide attempts in the depression and potential depression groups were 5.4 and 2.8 times higher than that of the non-depression group. In the depression group, the most powerful factor to predict a suicide attempt was delinquency, and the rate of suicide attempts in those in the depression group with higher delinquency was two times higher than in those in the depression group with lower delinquency. Of special note, the rate of suicide attempts in the depressed females with higher delinquency was the highest. Interestingly, in the potential depression group, the most impactful factor to predict a suicide attempt was intimacy with family, and the rate of suicide attempts of those in the potential depression group with lower intimacy with family was 2.4 times higher than that of those in the potential depression group with higher intimacy with family. And, among the potential depression group, middle school students with lower intimacy with family had a 2.5-times higher rate of suicide attempts than high school students with lower intimacy with family. Finally, in the non-depression group, stress level was the most powerful factor to predict a suicide attempt. Among the non-depression group, students who reported high levels of stress showed an 8.3-times higher rate of suicide attempts than students who reported average levels of stress.

DISCUSSION

Based on the results, we especially need to pay attention to depressed females with higher delinquency and those with potential depression with lower intimacy with family to prevent suicide attempts in teenagers.

Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments

BACKGROUND

To date, our ability to accurately identify patients at high risk from suicidal behaviour, and thus to target interventions, has been fairly limited. This study examined a large pool of factors that are potentially associated with suicide risk from the comprehensive electronic medical record (EMR) and to derive a predictive model for 1-6 month risk.

METHODS

7,399 patients undergoing suicide risk assessment were followed up for 180 days. The dataset was divided into a derivation and validation cohorts of 4,911 and 2,488 respectively. Clinicians used an 18-point checklist of known risk factors to divide patients into low, medium, or high risk. Their predictive ability was compared with a risk stratification model derived from the EMR data. The model was based on the continuation-ratio ordinal regression method coupled with lasso (which stands for least absolute shrinkage and selection operator).

RESULTS

In the year prior to suicide assessment, 66.8% of patients attended the emergency department (ED) and 41.8% had at least one hospital admission. Administrative and demographic data, along with information on prior self-harm episodes, as well as mental and physical health diagnoses were predictive of high-risk suicidal behaviour. Clinicians using the 18-point checklist were relatively poor in predicting patients at high-risk in 3 months (AUC 0.58, 95% CIs: 0.50 - 0.66). The model derived EMR was superior (AUC 0.79, 95% CIs: 0.72 - 0.84). At specificity of 0.72 (95% CIs: 0.70-0.73) the EMR model had sensitivity of 0.70 (95% CIs: 0.56-0.83).

CONCLUSION

Predictive models applied to data from the EMR could improve risk stratification of patients presenting with potential suicidal behaviour. The predictive factors include known risks for suicide, but also other information relating to general health and health service utilisation.

Suicide risk assessment and formulation: an update

There continues to be a lack of clarity on how to assess individual cases for suicidal risk. Though a surfeit of information regarding patient risk factors for suicide is available, clinicians and mental health professionals face difficulties in integrating and applying this information to individuals, in order to come up with an assessment report that is at once comprehensive, operational and easily communicable. This article outlines the basic steps involved in risk assessment with a focus on applying and integrating them. Illustrative questions and examples are used to aid understanding where appropriate. The three major domains emphasized across all contemporary models of risk assessment are specific suicidal thoughts, risk factors and protective factors. Evidence based warning signs associated with near term risk of suicide are reviewed and various approaches proposed for risk formulation are discussed with the aim of providing usable and practical information regarding assessment and formulation of suicide risk. The importance of following a structured, systematic approach is highlighted.

Suicidal behavior in war veterans

Military veterans represent a unique, heterogeneous population with suicide prevalence rates, risk factors and preventative management needs that differ from those of the rest of community. Veterans worldwide receive high proportions of their healthcare from community providers, and sensitivity to these distinct needs is required for optimized care. An overview of the recent prevalence-study literature, with a focus upon statistical design, is presented in order to provide a critical orientation within this field with high levels of popular media attention. Attention to psychiatric comorbidity, subthreshold symptomology, select signature disorders of contemporary conflicts (namely, post-traumatic stress disorder and traumatic brain injury), and veteran life narratives before, within and beyond military service will guide our review of risk factor assessment and management strategies. This critical review of the literature provides an overview of this active field of neuropsychiatric research with a select focus upon these topics of special interest.

Decreased suicidal ideation in depressed patients with or without comorbid posttraumatic stress disorder treated with selective serotonin reuptake inhibitors: an open study

Comorbidity of posttraumatic stress disorder (PTSD) and major depressive disorder (MDD) is associated with higher morbidity including suicidal ideation and behavior. Selective serotonin reuptake inhibitors (SSRIs) are a known treatment for PTSD, MDD and comorbid PTSD and MDD. Since the patients with comorbid MDD and PTSD (PTSD-MDD) are sicker, we hypothesize a poorer response to treatment compared to patients with MDD only. Ninety-six MDD patients were included in the study: 76 with MDD only and 20 with PTSD-MDD. Demographic and clinical parameters at baseline were assessed. We examined clinical parameters before and after 3 months of open SSRI treatment in subjects with PTSD-MDD and compared this group to individuals with MDD only. At baseline, PTSD-MDD patients had higher Hamilton Depression Rating Scale and Buss-Durkee Hostility Scale scores compared with MDD only subjects. There was a significant decrease in scores on the Hamilton Depression Rating Scale, Beck Depression Inventory, Beck Hopelessness Scale, and Beck Scale for Suicidal Ideation after 3 months of treatment with SSRIs in both groups. The magnitude of improvement in Beck Scale for Suicidal Ideation scores was greater in the PTSD-MDD group compared to the MDD only subjects. Symptoms of depression including suicidal ideation improved in MDD patients with or without comorbid PTSD after 3 months of treatment with SSRIs but improvement in suicidal ideation was greater in the PTSD-MDD group. Our finding has not supported the hypothesis that a response to treatment is poorer in the PTSD-MDD group which may indicate that sicker patients benefit more from the treatment.

Work environment and recent suicidal thoughts among male university hospital physicians in Sweden and Italy: the health and organization among university hospital physicians in Europe (HOUPE) study

BACKGROUND

Male and female physicians are at elevated suicide risk. The work environment has become a focus of attention as a possible contributor to this risk. The potential association between work environment and suicidal thoughts has been examined among female physicians in several countries, and significant findings have been reported.

OBJECTIVE

The purpose of this study was to examine the role of the work environment in relation to suicidal thoughts among male university hospital physicians in 2 European countries.

METHODS

Cross-sectional multivariate analysis was performed to identify significant associations between work-related factors and suicide risk among male physicians from the Health and Organization among University Hospital Physicians in Europe (HOUPE) study. The dependent variable was termed recent suicidal thoughts, which includes having thought about suicide and/or having thought about specific ways to commit suicide within the previous year. Adjusted odds ratios (ORs) and CIs are reported.

RESULTS

Of the 456 Swedish (56%) and 241 Italian (39%) male physicians who participated, 12% of the physicians from each country reported affirmatively regarding recent suicidal thoughts. Degrading work experiences were associated with recent suicidal thoughts for the Swedish and Italian physicians (OR = 2.1; 95% CI, 1.01-4.5; OR = 3.3; 95% CI, 1.3-8.0, respectively). Role conflict was associated with recent suicidal thoughts among the Swedish physicians (OR = 1.6; 95% CI, 1.1-2.2). Support at work when difficulties arose appeared to be protective for the Swedish physicians (OR = 0.7; 95% CI, 0.5-0.96). Italian physicians with little control over working conditions had an increased risk of recent suicidal thoughts, whereas confidential discussions about work experiences appeared to be protective (OR = 0.6; 95% CI, 0.4-0.9).

CONCLUSION

Attention should be paid to the work environment as it relates to suicide risk among male university hospital physicians, particularly to bolstering social support and preventing harassment.

Distinguishing the relevant features of frequent suicide attempters

BACKGROUND

In spite of the high prevalence of suicide behaviours and the magnitude of the resultant burden, little is known about why individuals reattempt. We aim to investigate the relationships between clinical risk factors and the repetition of suicidal attempts.

METHODS

1349 suicide attempters were consecutively recruited in the Emergency Room (ER) of two academic hospitals in France and Spain. Patients were extensively assessed and demographic and clinical data obtained. Data mining was used to determine the minimal number of variables that blinded the rest in relation to the number of suicide attempts. Using this set, a probabilistic graph ranking relationships with the target variable was constructed.

RESULTS

The most common diagnoses among suicide attempters were affective disorders, followed by anxiety disorders. Risk of frequent suicide attempt was highest among middle-aged subjects, and diminished progressively with advancing age of onset at first attempt. Anxiety disorders significantly increased the risk of presenting frequent suicide attempts. Pathway analysis also indicated that frequent suicide attempts were linked to greater odds for alcohol and substance abuse disorders and more intensive treatment.

CONCLUSIONS

Novel statistical methods found several clinical features that were associated with a history of frequent suicide attempts. The identified pathways may promote new hypothesis-driven studies of suicide attempts and preventive strategies.

The Role of Suicide Risk in the Decision for Psychiatric Hospitalization After a Suicide Attempt

Background: Suicide prevention can be improved by knowing which variables physicians take into account when considering hospitalization or discharge of patients who have attempted suicide. Aims: To test whether suicide risk is an adequate explanatory variable for predicting admission to a psychiatric unit after a suicide attempt. Methods: Analyses of 840 clinical records of patients who had attempted suicide (66.3% women) at four public general hospitals in Madrid (Spain). Results: 180 (21.4%) patients were admitted to psychiatric units. Logistic regression analyses showed that explanatory variables predicting admission were: male gender; previous psychiatric hospitalization; psychiatric disorder; not having a substance-related disorder; use of a lethal method; delay until discovery of more than one hour; previous attempts; suicidal ideation; high suicidal planning; and lack of verbalization of adequate criticism of the attempt. Conclusions: Suicide risk appears to be an adequate explanatory variable for predicting the decision to admit a patient to a psychiatric ward after a suicide attempt, although the introduction of other variables improves the model. These results provide additional information regarding factors involved in everyday medical practice in emergency settings.

Survey on recent suicidal ideation among female university hospital physicians in Sweden and Italy (the HOUPE study): cross-sectional associations with work stressors

BACKGROUND

Suicide rates among physicians are higher than in the general population, and rates among female physicians are particularly high. More female than male physicians report suicidal thoughts, with suicidal ideation being a well-recognized precursor of suicide. The urgent need to find the reasons for suicide risk in female physicians is underscored by society's increasing dependence on this group of health care providers.

OBJECTIVE

The aim of this paper was to identify potential risk and protective factors associated with recent suicidal ideation in female physicians.

METHODS

A cross-sectional survey analysis of work-related health, organizational culture, career paths, and working conditions was performed among permanently employed female physicians from the HOUPE (Health and Organisation among University Physicians in four European countries) study: 385 in Sweden and 126 in Italy. The main outcome measure was recent (within the prior 12 months) suicidal thoughts.

RESULTS

Overall, 13.7% and 14.3% of the participants from Sweden and Italy, respectively, reported suicidal thoughts within the prior 12 months. Among the physicians from Sweden, the most powerful multivariate model for such thoughts included 2 independent variables related to work: degrading experiences/harassment at work (odds ratio [OR], 3.03; 95% CI, 1.48-6.23), and work meetings to discuss stressful situations (OR, 0.36; 95% CI, 0.19-0.69). The model included self-diagnosis and self-treatment as a significant factor. Work meetings to discuss stressful situations were also in the multivariate model for the Italian physicians (OR, 0.21; 95% CI, 0.05-0.86), together with being given work assignments without adequate resources (OR, 5.0; 95% CI, 1.32-18.8). Significant non-work-related factors in the Italian model were younger age and seeking professional help for depression or burnout.

CONCLUSIONS

In both Sweden and Italy, work stressors have been identified that may increase the risk for suicide for female physicians. A potential protective factor was meetings to discuss stressful work experiences. These findings suggest that such meetings should be more broadly implemented.

Population-based prevalence of smoking in psychiatric inpatients: a focus on acute suicide risk and major diagnostic groups

OBJECTIVE

The aim of the study was to define the extent of current and lifetime smoking by diagnostic groups and suicide risk as reason for admission in a geographically defined psychiatric inpatient cohort.

DESIGN

The study used a population-based retrospective chart review.

METHODS

Smoking status and discharge diagnoses for Olmsted County, Minnesota, inpatients aged 18 to 65 admitted for psychiatric hospitalization in 2004 and 2005 were abstracted from the electronic medical record. Diagnostic groups were compared to each other using chi(2) tests and Fisher exact test to analyze smoking status within the inpatient sample with significance defined as P <or= .05.

RESULTS

Eighty percent (80.41) of our sample of 776 patients was hospitalized due to acute suicide risk. Discharge diagnostic group composition included affective disorders (80.3%), substance abuse disorders (36.1%), anxiety disorders (19%), psychotic disorders (16.4%), and personality disorders (10.3%). Of the sample, 72.2% had at least one comorbid disorder. Of the 776 patients, 356 (45.9%) were current smokers. Substance abuse and psychotic disorder diagnoses were significantly correlated with current smoking status (<.0001, .02) with 77.1% and 55.9%, respectively, being current smokers compared to other psychiatric inpatient groups. All diagnostic groups smoked at higher rates and had less success stopping than the US general population.

CONCLUSION

Our findings clearly demonstrate stratification of current smoking and quit rates in psychiatric inpatient' diagnostic groups vs the US general population and Minnesota. Further research into the association between suicide risk, smoking, and mortality in the seriously mentally ill is necessary. Recognizing and addressing smoking in psychiatric patients in both hospital and outpatient settings is critical to addressing survival differences compared to the general population.

Prevalence and risk factors associated with suicide ideation and attempts in korean college students

OBJECTIVE

Suicide is a leading cause of death in college age students. Identification of the associated risk factors has important implications for how to prevent and respond to this population; however, few studies have been performed on this topic in this age group. The purpose of this study was to evaluate the prevalence and risk factors associated with suicide ideation and attempts in college students.

METHODS

Three hundred sixty-eight college students participated in this cross-sectional observational study. The recent (over two weeks) suicide ideation and lifetime suicide attempts were defined according to Moscicki's suicide behavior index. Sociodemographic variables were assessed and psychopathology measured using the Beck Depression Inventory, the Bipolar Spectrum Diagnostic Scale and the Alcohol Use Disorders Identification Test. A hierarchical multiple logistic regression analysis was used to identify the significant risk factors related to suicide ideation and attempts.

RESULTS

The two-week prevalence of suicidal ideation was 9.8%, and the lifetime prevalence of suicide attempts was 3.3%. The univariate analysis showed that students who had more severe depression (p<0.001), a higher probability for bipolar disorder (p<0.001) and decrement of academic achievement (p<0.005) were more likely to have suicide ideation. Those with factors such as severe depression (p<0.05), a higher probability of bipolar disorder (p<0.001), a low socioeconomic status (p<0.001), who lived alone (p<0.01), and were female (p<0.05) had a higher risk for suicide attempts. The most important predictors of suicide ideation, by the logistic regression analysis, were depression, probability for bipolar disorder and academic achievement, and the risks identified for suicide attempts were socioeconomic status and probability of bipolar disorder.

CONCLUSION

Suicide ideation and attempts were common in college students. The results of this study suggest that early identification and management of mood disorders and other sociodemographic risk factors may have implications for intervention and prevention.