Treatment Emergent Suicidal Ideation in depressed older adults

Polygenic risk scores for neuropsychiatric, inflammatory, and cardio-metabolic traits highlight possible genetic overlap with suicide attempt and treatment-emergent suicidal ideation

Suicide is the second cause of death among youths. Genetics may contribute to suicidal phenotypes and their co-occurrence in other neuropsychiatric and medical conditions. Our study aimed to investigate the association of polygenic risk scores (PRSs) for 24 neuropsychiatric, inflammatory, and cardio-metabolic traits/diseases with suicide attempt (SA) or treatment-worsening/emergent suicidal ideation (TWESI). PRSs were computed based on summary statistics of genome-wide association studies. Regression analyses were performed between PRSs and SA or TWESI in four clinical cohorts. Results were then meta-analyzed across samples, including a total of 688 patients with SA (N_eff  = 2,258) and 214 with TWESI (N_eff  = 785). Stratified genetic covariance analyses were performed to investigate functionally cross-phenotype PRS associations. After Bonferroni correction, PRS for major depressive disorder (MDD) was associated with SA (OR = 1.24; 95% CI = 1.11-1.38; p = 1.73 × 10^-4 ). Nominal associations were shown between PRSs for coronary artery disease (CAD) (p = 4.6 × 10^-3 ), loneliness (p = .009), or chronic pain (p = .016) and SA, PRSs for MDD or CAD and TWESI (p = .043 and p = .032, respectively). Genetic covariance between MDD and SA was shown in 86 gene sets related to drugs having antisuicidal effects. A higher genetic liability for MDD may underlie a higher SA risk. Further, but milder, possible modulatory factors are genetic risk for loneliness and CAD.

Systematic evaluation of the 'efficacy-effectiveness gap' in the treatment of depression with venlafaxine and duloxetine

OBJECTIVE

Evidence of larger drug effects in highly standardized studies (efficacy) compared to clinical routine (effectiveness) is discussed as efficacy-effectiveness gap. This study aimed to quantify effect size differences of RCTs and non-RCTs in the treatment of depression with venlafaxine and duloxetine and to identify effect modifying predictors.

METHODS

A comprehensive systematic review and meta-analysis was conducted, including all prospective trials, which evaluated the treatment effects of duloxetine or venlafaxine in patients with depression. The primary outcome was the pre-post effect size after acute therapy, which were compared between RCTs and non-RCTs. Moreover, an exploratory analysis of predictors in a mixed meta-regression model within an information-theoretic approach was performed.

RESULTS

171 RCTs and 74 non-RCTs were included. The pre-post effect size differed significantly between RCTs and non-RCTs (-3.04 vs. -2.62, Δ = 0.41, p = 0.012, high heterogeneity). Study characteristics were very similar between RCTs and non-RCTs. Most important variables to predict effect sizes were 'depression severity', 'dose' and 'number of participants'.

CONCLUSION

Despite differences in effect sizes between RCTs and non-RCTs, study design is not clearly an important predictor for the effect sizes. Our results question the common assumption that non-RCTs are generally better suited to describe a drug's effectiveness in clinical practice than RCTs. Future studies and their reporting should put more emphasis on the description of external validity, in order to allow better assessments of clinical relevance.

Investigation to identify individual socioeconomic and health determinants of suicidal ideation using responses to a cross-sectional, community-based public health survey

OBJECTIVES

To address a gap in knowledge by simultaneously assessing a broad spectrum of individual socioeconomic and potential health determinants of suicidal ideation (SI) using validated measures in a large UK representative community sample.

DESIGN

In this cross-sectional design, participants were recruited via random area probability sampling to participate in a comprehensive public health survey. The questionnaire examined demographic, health and socioeconomic factors. Logistic regression analysis was employed to identify predictors of SI.

SETTING

Community setting from high (n=20) and low (n=8) deprivation neighbourhoods across the North West of England, UK.

PARTICIPANTS

4319 people were recruited between August 2015 and January 2016. There were 809 participants from low-deprivation neighbourhoods and 3510 from high-deprivation neighbourhoods. The sample comprised 1854 (43%) men and 2465 (57%) women.

PRIMARY OUTCOME MEASURES

SI was the dependent variable which was assessed using item 9 of the Patient Health Questionnaire-9 instrument.

RESULTS

454 (11%) participants reported having SI within the last 2 weeks. Model 1 (excluding mental health variables) identified younger age, black and minority ethnic (BME) background, lower housing quality and current smoker status as key predictors of SI. Higher self-esteem, empathy and neighbourhood belonging, alcohol abstinence and having arthritis were protective against SI. Model 2 (including mental health variables) found depression and having cancer as key health predictors for SI, while identifying as lesbian, gay, bisexual, transgender or queer (LGBTQ) and BME were significant demographic predictors. Alcohol abstinence, having arthritis and higher empathy levels were protective against SI.

CONCLUSIONS

This study suggests that it could be useful to increase community support and sense of belonging using a public health approach for vulnerable groups (e.g. those with cancer) and peer support for people who identify as LGBTQ and/or BME. Also, interventions aimed at increasing empathic functioning may prove effective for reducing SI.

Comorbid anxiety in late-life depression: Relationship with remission and suicidal ideation on venlafaxine treatment

OBJECTIVE

The purpose of this study was to examine the influence of comorbid anxiety symptoms on antidepressant treatment remission in older adults with major depressive disorder (MDD).

METHOD

In this multisite clinical trial, 468 older adults aged 60 years or older with MDD received open-label protocolized treatment with venlafaxine extended release (ER) titrated to a maximum of 300 mg daily. At baseline, anxiety was assessed with the Anxiety Sensitivity Index, the Brief Symptom Inventory (BSI) anxiety subscale, and the Penn State Worry Questionnaire. To measure treatment response, depressive symptoms and suicidality were assessed every 1-2 weeks with the Montgomery-Asberg Depression Rating Scale and the 19-item Scale for Suicide Ideation; anxiety was assessed with the BSI. Logistic regression and survival analysis were used to evaluate whether anxiety symptoms predicted depression remission. We also examined the relationships between anxiety scores and suicidality at baseline.

RESULTS

Baseline anxiety symptoms did not predict remission or time to remission of depressive symptoms. Depressive, worry, and panic symptoms decreased in parallel in patients with high anxiety. Anxiety symptoms were associated with the severity of depression and with suicidality.

CONCLUSION

In older adults with MDD, comorbid anxiety symptoms are associated with symptom severity but do not affect antidepressant remission or time to remission.