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.

Background: The global health emergency generated by the COVID-19 pandemic is posing an unprecedented challenge to health care workers, who are facing heavy workloads under psychologically difficult situations. Mental mobile Health (mHealth) interventions are now being widely deployed due to their attractive implementation features, despite the lack of evidence about their efficacy in this specific population and context. Objective: The aim of this trial is to evaluate the effectiveness of a psychoeducational, mindfulness-based mHealth intervention to reduce mental health problems in health care workers during the COVID-19 pandemic. Methods: We conducted a blinded, parallel-group, controlled trial in Spain. Health care workers providing face-to-face health care to patients with COVID-19 were randomly assigned (1:1) to receive the PsyCovidApp intervention (an app targeting emotional skills, healthy lifestyle behavior, burnout, and social support) or a control app (general recommendations about mental health care) for 2 weeks. The participants were blinded to their group allocation. Data were collected telephonically at baseline and after 2 weeks by trained health psychologists. The primary outcome was a composite of depression, anxiety, and stress (overall score on the Depression Anxiety Stress Scale-21 [DASS-21]). Secondary outcomes were insomnia (Insomnia Severity Index), burnout (Maslach Burnout Inventory Human Services Survey), posttraumatic stress (Davidson Trauma Scale), self-efficacy (General Self-Efficacy Scale), and DASS-21 individual scale scores. Differences between groups were analyzed using general linear modeling according to an intention-to-treat protocol. Additionally, we measured the usability of the PsyCovidApp (System Usability Scale). The outcome data collectors and trial statisticians were unaware of the treatment allocation. Results: Between May 14 and July 25, 2020, 482 health care workers were recruited and randomly assigned to PsyCovidApp (n=248) or the control app (n=234). At 2 weeks, complete outcome data were available for 436/482 participants (90.5%). No significant differences were observed between the groups at 2 weeks in the primary outcome (standardized mean difference –0.04; 95% CI –0.11 to 0.04; P=.15) or in the other outcomes. In our prespecified subgroup analyses, we observed significant improvements among health care workers consuming psychotropic medications (n=79) in the primary outcome (–0.29; 95% CI –0.48 to –0.09; P=.004), and in posttraumatic stress, insomnia, anxiety, and stress. Similarly, among health care workers receiving psychotherapy (n=43), we observed improvements in the primary outcome (–0.25; 95% CI –0.49 to –0.02; P=.02), and in insomnia, anxiety, and stress. The mean usability score of PsyCovidApp was high (87.21/100, SD 12.65). After the trial, 208/221 participants in the intervention group (94.1%) asked to regain access to PsyCovidApp, indicating high acceptability. Conclusions: In health care workers assisting patients with COVID-19 in Spain, PsyCovidApp, compared with a control app, reduced mental health problems at 2 weeks only among health care workers receiving psychotherapy or psychotropic medications. Trial Registration: ClinicalTrials.gov NCT04393818; https://clinicaltrials.gov/ct2/show/NCT04393818.

Suicide is a serious public health concern. Depression is the main gateway to suicidal behavior. The already established relationship between depression and suicidal risk should now focus on the investigation of more specific factors: recent studies have suggested an association between vulnerability to suicidal behavior and neurocognitive alterations, a nuclear symptom of depression. This project aims to identify alterations in the Executive Functions (EF) of patients suffering a first depressive episode that might constitute a risk factor for suicidal ideation, suicidal attempts and suicide, to allow for more adequate suicide prevention. Prospective longitudinal design involving two groups (first depressive episodes with and without alterations in their EF) and four repeated measures (0, 6, 12 and 24 months). The estimated minimum sample size is 216 subjects. The variables and measurement instruments will include socio-demographic variables, clinical variables (age of illness onset, family and personal antecedents, psychopathological and medical comorbidity, suicidal ideation, suicide attempts and completed suicides, severity of depression, including melancholic or atypical, remission of the depressive episode), and neuropsychological variables (EF and decision-making processes evaluated through the Cambridge Neuropsychological Test Automated Battery (CANTAB)). First and foremost, the identification of clinical and neuropsychological risk factors associated with suicidal behavior will open the possibility to prevent such behavior in patients with a first depressive episode in the context of clinical practice. Secondly, interventions aimed at cognitive impairment (in particular: EF) derived from the study may be incorporated into strategies for the prevention of suicidal behavior. Finally, impaired neurocognitive function (even in early stages) could become an identifiable endophenotype or “marker” in clinical and neurobiological studies about suicidal behavior in depressive patients.

Only a small number of articles have investigated the relationship between mindfulness-based interventions (MBIs) and biomarkers. The aim of this systematic review was to study the effect of MBIs on specific biomarkers (cytokines, neuropeptides and C-reactive protein (CRP)) in both healthy subjects and cancer patients. A search was conducted using PubMed, EMBASE, PsycINFO and the Cochrane library between 1980 and September 2016. A total of 13 studies with 1110 participants were included. In the healthy population, MBIs had no effect on cytokines, but were found to increase the levels of the neuropeptide insulin-like growth factor 1 (IGF-1). With respect to neuropeptide Y, despite the absence of post-intervention differences, MBIs may enhance recovery from stress. With regard to CRP, MBIs could be effective in lower Body Mass Index (BMI) individuals. In cancer patients, MBIs seem to have some effect on cytokine levels, although it was not possible to determine which specific cytokines were affected. One possibility is that MBIs might aid recovery of the immune system, increasing the production of interleukin (IL)-4 and decreasing interferon gamma (IFN-γ). MBIs may be involved in changes from a depressive/carcinogenic profile to a more normalized one. However, given the complexity and different contexts of the immune system, and the fact that this investigation is still in its preliminary stage, additional randomized controlled trials are needed to further establish the impact of MBI programmes on biomarkers in both clinical and non-clinical populations.

Background: The aim of the study was to determine the most common pharmacological strategies used in the management of major depressive disorder (MDD) after an inadequate response to first-line antidepressant treatment in clinical practice. Methods: Multicenter, non-interventional study in adult outpatients with a DSM-IV-TR diagnosis of MDD and inadequate response to first-line antidepressant medication. Multiple logistic regression analyses were performed to identify independent factors associated with the adoption of a specific second-line strategy. Results: A total of 273 patients were analyzed (mean age: 46.8 years, 67.8% female). Baseline mean Montgomery-Asberg Depression Rating Scale total score was 32.1 (95%CI 31.2-32.9). The most common strategies were: switching antidepressant medication (39.6%), augmentation (18.8%), and combination therapy (17.9%). Atypical antipsychotic drugs were the most commonly used agent for augmenting antidepressant effect. The presence of psychotic symptoms and the number of previous major depressive episodes were associated with the adoption of augmenting strategy (OR = 3.2 and 1.2, respectively). Conclusion: The switch to another antidepressant agent was the most common second-line therapeutic approach. Psychiatrists chose augmentation based on a worse patients’ clinical profile (number of previous episodes and presence of psychotic symptoms).