Acta Psychiatrica Scandinavica最新文献

Introduction: Many patients with eating disorders (EDs) engage in excessive and compulsive physical activity (pathological exercise, PE) to regulate negative mood or to "burn calories." PE can lead to negative health consequences. Non-exercise activity (NEA) bears the potential to serve as intervention target to counteract PE and problematic eating behaviors since it has been associated with positive mood effects. However, to date, there is no investigation on whether the positive link between NEA and mood seen in the healthy translates to patients with ED.

Material and methods: To study potential associations of NEA and mood in ED, we subjected 29 ED-patients and 35 healthy controls (HCs) to an ambulatory assessment study across 7 days. We measured NEA via accelerometers and repeatedly assessed mood on electronic smartphone diaries via a mixed sampling strategy based on events, activity and time. Within- and between-subject effects of NEA on mood, PE as moderator, and the temporal course of effects were analyzed via multilevel modeling.

Results: NEA increased valence (β = 2.12, p < 0.001) and energetic arousal (β = 4.02, p < 0.001) but showed no significant effect on calmness. The effects of NEA on energetic arousal where significantly stronger for HCs (β_HC = 6.26, p < 0.001) than for EDs (β_ED = 4.02, p < 0.001; β_interaction = 2.24, p = 0.0135). Effects of NEA were robust across most timeframes of NEA and significantly moderated by PE, that is, Lower PE levels exhibited stronger NEA effects on energetic arousal.

Conclusion: Patients with ED and HC show an affective benefit from NEA, partly depending on the level of PE. If replicated in experimental daily life studies, this evidence may pave the way towards expedient NEA interventions to cope with negative mood. Interventions could be especially promising if delivered as Just-in-time adaptive interventions (JITAIs) and should be tailored according to the PE level.

Objective: Childhood maltreatment is associated with less favourable treatment outcomes with pharmacotherapy and psychotherapy for depression. It is unknown whether this increased risk of treatment resistance in maltreated individuals extends to electroconvulsive therapy (ECT).

Methods: This retrospective cohort study included 501 consecutive adult referrals for an acute course of twice-weekly ECT for unipolar or bipolar depression at an academic inpatient centre in Ireland between 2016 and 2024. Retrospectively reported physical and sexual childhood maltreatment were assessed on hospital admission. Response was defined as a score of 1 or 2 and remission was defined as a score of 1 on the Clinical Global Impression - Improvement scale 1-3 days after final ECT session. Logistic regression analyses were used to examine the associations between childhood maltreatment and ECT nonresponse and nonremission, adjusting for covariates. Mediation analyses were conducted to explore the role of psychiatric comorbidities, persistent depressive symptoms lasting 2 years or more in the current episode, and baseline depression severity.

Results: Compared to the group with no childhood maltreatment, the childhood maltreatment group had similar odds of ECT nonresponse (adjusted odds ratio = 1.47, 95% CI = 0.85-2.53) but significantly elevated odds of ECT nonremission (adjusted odds ratio = 3.75, 95% CI = 1.80-7.81). In a mediation analysis, presence of persistent depressive symptoms mediated 7.4% of the total effect of childhood maltreatment on ECT nonremission.

Conclusion: Individuals with exposure to childhood maltreatment may be less likely to achieve full remission following a course of ECT.

Introduction: Peripartum depression is common and treatment with mirtazapine may be indicated. However, evidence on its safety in pregnancy and lactation is fragmented. The objective of this systematic review was to evaluate the literature on the safety of mirtazapine in pregnancy and lactation.

Methods: PubMed, Embase, Medline, PsycInfo, and clinicaltrials.gov were searched for 'antidepressants' or 'mirtazapine' in combination with 'pregnancy', 'lactation' or 'offspring'. No restrictions on type of study were applied and selection was performed by two independent reviewers using Covidence. Two reviewers extracted data and performed risk of bias assessment and evidence synthesis was performed for each outcome individually. The protocol was registered at PROSPERO (registration number CRD42021275127).

Results: The initial search yielded 15,380 articles after removal of duplicates. After screening based on title and abstract, 431 articles remained for full text review. Of these, 41 studies were included (15 cohort studies, one case-control study, 11 case series, and 14 case reports). In most studies, the outcomes in mirtazapine-exposed pregnancies were comparable to controls. However, results on congenital malformations and spontaneous abortion were conflicting. Neonatal adaptation syndrome was reported after mirtazapine exposure in late pregnancy. Data on mirtazapine exposure during lactation were scarce.

Conclusions: We identified no substantial evidence indicating that mirtazapine exposure is associated with adverse outcomes in pregnancy or in offspring, other than neonatal adaptation syndrome. However, overall quality of evidence was low, and results on congenital malformations and spontaneous abortions were conflicting. Data on mirtazapine exposure through breastfeeding were limited and did not allow for conclusions.

Introduction: Accurate detection of cardiometabolic risk in early psychosis is crucial to reducing somatic morbidity and mortality in people with psychotic disorders. We conducted an external validation of the psychosis metabolic risk calculator (PsyMetRiC), a cardiometabolic risk prediction tool developed in the UK and tailored for young people with psychosis. We compared the predictive accuracy and clinical usefulness of PsyMetRiC and a general population-based risk prediction tool for type 2 diabetes, the Finnish Diabetes Risk Score (FINDRISC).

Methods: We included first-episode psychosis and ultra-high-risk for psychosis patients without metabolic syndrome aged 18-35 years from the Helsinki Early Psychosis and Turku Early Psychosis Study cohorts. We tested two versions of PsyMetRiC: the full model including age, sex, ethnicity, body-mass index, smoking status, prescription of metabolically-active antipsychotic medication, high-density lipoprotein, and triglyceride concentrations, and the partial-model excluding biochemical predictors, and the simplified FINDRISC including BMI, sex, systolic blood pressure, and fasting glucose. Discrimination, calibration, and decision curve analyses were used to assess the predictive performance and clinical usefulness of both PsyMetRiC and FINDRISC. We performed a site-specific re-calibration of PsyMetRiC (PsyMetRiC-Fi).

Results: The study sample consisted of 278 individuals (all White European ethnicity, 58.6% male, mean age 24.8 years, 37.8% smoking, mean BMI 23.5). Discrimination was marginally better in the PsyMetRiC full model (C = 0.72, 95% CI, 0.59-0.82) compared with partial model (C = 0.70, 95% CI 0.59-0.80) or FINDRISC (C = 0.63, 95% CI 0.54-0.71). Calibration plots displayed evidence of minor miscalibration for PsyMetRiC, which corrected following recalibration. Miscalibration was more pronounced for FINDRISC. Decision curve analysis showed that PsyMetRiC offers likely clinical usefulness in improving cardiometabolic risk management in early psychosis compared with giving everyone or no one an intervention.

Conclusion: PsyMetRiC has utility in predicting cardiometabolic risk in Finnish patients with early psychosis. It has better discriminatory accuracy and offers more accurate risk prediction compared to other available strategies.

Introduction: Suicidal ideation variability refers to within-day fluctuations in suicidal ideation, and has recently been proposed as an indicator of suicide risk. However, not much is known yet about its correlates and clinical relevance.

Methods: We examined characteristics of real-time suicidal ideation using Ecological Momentary Assessment in 82 individuals with current active suicidal ideation. Data were collected four times daily over 21 days. Latent profile analysis was used to identify subtypes of suicidal ideation. We further examined sociodemographic and clinical correlates of the profiles, and their association with the occurrence of suicide attempts during a 1-year follow-up.

Results: We identified three "digital" phenotypes of suicidal ideation that differed on the frequency, intensity and variability of ideation. The profiles were: high frequency, high intensity, moderate variability (Phenotype 1), moderate/high frequency, moderate intensity, high variability (Phenotype 2), and moderate frequency, low intensity, low variability (Phenotype 3). Phenotypes 1 and 2 were associated with a worse clinical profile at baseline (higher suicidal ideation and depressive symptom severity), and increased odds of suicide attempt during follow-up, compared to Phenotype 3. Phenotype 1 was further characterized by repeated suicidal behavior.

Conclusions: Two phenotypes of real-time suicidal ideation were identified that appear to confer a higher risk of suicidal behavior in the near future (12 months). These phenotypes were characterized by higher variability of suicidal ideation-and also higher intensity and frequency of ideation. Considering the small sample size, the clinical usefulness of the profiles remains to be demonstrated.