Bipolar disorder is highly prevalent and consists of biphasic recurrent mood episodes of mania and depression, which translate into altered mood, sleep and activity alongside their physiological expressions.

The IdenTifying dIgital bioMarkers of illnEss activity and treatment response in BipolAr diSordEr with a novel wearable device (TIMEBASE) project aims to identify digital biomarkers of illness activity and treatment response in bipolar disorder.

We designed a longitudinal observational study including 84 individuals. Group A comprises people with acute episode of mania (n = 12), depression (n = 12 with bipolar disorder and n = 12 with major depressive disorder (MDD)) and bipolar disorder with mixed features (n = 12). Physiological data will be recorded during 48 h with a research-grade wearable (Empatica E4) across four consecutive time points (acute, response, remission and episode recovery). Group B comprises 12 people with euthymic bipolar disorder and 12 with MDD, and group C comprises 12 healthy controls who will be recorded cross-sectionally. Psychopathological symptoms, disease severity, functioning and physical activity will be assessed with standardised psychometric scales. Physiological data will include acceleration, temperature, blood volume pulse, heart rate and electrodermal activity. Machine learning models will be developed to link physiological data to illness activity and treatment response. Generalisation performance will be tested in data from unseen patients.

Recruitment is ongoing.

This project should contribute to understanding the pathophysiology of affective disorders. The potential digital biomarkers of illness activity and treatment response in bipolar disorder could be implemented in a real-world clinical setting for clinical monitoring and identification of prodromal symptoms. This would allow early intervention and prevention of affective relapses, as well as personalisation of treatment.

Deficits in emotional intelligence (EI) were detected in patients with bipolar disorder (BD), but little is known about whether these deficits are already present in patients after presenting a first episode mania (FEM). We sought (i) to compare EI in patients after a FEM, chronic BD and healthy controls (HC); (ii) to examine the effect exerted on EI by socio-demographic, clinical and neurocognitive variables in FEM patients.

The Emotional Intelligence Quotient (EIQ) was calculated with the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). Performance on MSCEIT was compared among the three groups using generalized linear models. In patients after a FEM, the influence of socio-demographic, clinical and neurocognitive variables on the EIQ was examined using a linear regression model.

In total, 184 subjects were included (FEM n = 48, euthymic chronic BD type I n = 75, HC n = 61). BD patients performed significantly worse than HC on the EIQ [mean difference (MD) = 10.09, standard error (s.e.) = 3.14, p = 0.004] and on the understanding emotions branch (MD = 7.46, s.e. = 2.53, p = 0.010). FEM patients did not differ from HC and BD on other measures of MSCEIT. In patients after a FEM, EIQ was positively associated with female sex (β = −0.293, p = 0.034) and verbal memory performance (β = 0.374, p = 0.008). FEM patients performed worse than HC but better than BD on few neurocognitive domains.

Patients after a FEM showed preserved EI, while patients in later stages of BD presented lower EIQ, suggesting that impairments in EI might result from the burden of disease and neurocognitive decline, associated with the chronicity of the illness.

The COVID-19 pandemic has and will have a huge impact on mental health, especially in countries that have been significantly affected, such as Spain.

Here we aim to provide the perspectives of a group of psychiatrists from Barcelona, one of the epicentres of the pandemic so far, to highlight the potential fatality of a virus that caught us unaware and unprepared, and hopefully this article will be of aid to countries about to face the pandemic.

The unprecedented situations that we have been faced with so far have included reconfiguring hospitals and the redeployment of healthcare professionals, with flexibility and adaptability key to managing the overload in demand. This has led to healthcare professionals being exposed to extremely stressful situations and they have had impossible decisions to make that may have mental health consequences, some of which may be severe and long lasting.

A rebound effect on mental health problems is to be expected in the medium and long term, especially for healthcare professionals and psychiatric patients, necessitating a strengthening of preventive approaches and policies for mental health along with a prompt reopening of mental health services. Ways to provide psychiatric healthcare in the immediate future need to be re-evaluated, and the development of telepsychiatry services is probably to be expected.

Schizoaffective disorder, bipolar type (SAD) and bipolar disorder I (BD) present a large clinical overlap. In a 1-year follow-up, we aimed to evaluate days to hospitalization (DTH) and predictors of relapse in a SAD-BD cohort of patients.

A 1–year, prospective, naturalistic cohort study considering DTH as primary outcome and incidence of direct and indirect measures of psychopathological compensation as secondary outcomes. Kaplan-Meyer survival analysis with Log-rank Mantel-Cox test compared BD/SAD subgroups as to DTH. After bivariate analyses, Cox regression was performed to assess covariates possibly associated with DTH in diagnostic subgroups.

Of 836 screened patients, 437 were finally included (SAD = 105; BD = 332). Relapse rates in the SAD sample was n = 26 (24.8%) vs. n = 41 (12.3%) in the BD sample (p = 0.002). Mean ± SD DTH were 312.16 ± 10.6 (SAD) vs. 337.62 ± 4.4 (BD) days (p = 0.002). Patients with relapses showed more frequent suicide acts, violent behaviors, and changes in pharmacological treatments (all p < 0.0005) in comparison to patients without relapse. Patients without relapses had significantly higher mean number of treatments at T0 (p = 0.010). Cox regression model relating the association between diagnosis and DTH revealed that BD had higher rates of suicide attempts (HR = 13.0, 95%CI = 4.0–42.0, p < 0.0005), whereas SAD had higher rates of violent behavior during psychotic episodes (HR = 12.0, 95%CI =.3.3-43.5, p > 0.0005).

SAD patients relapse earlier with higher hospitalization rates and violent behavior during psychotic episodes whereas bipolar patients have more suicide attempts. Psychiatric/psychological follow-up visits may delay hospitalizations by closely monitoring symptoms of self- and hetero-aggression.

One of the main utilities of staging in bipolar disorder is enhancing the formulation of pharmacological and non-pharmacological treatment strategies. Hence, it is essential to ascertain whether the number of previous episodes influences treatment response. Hereby, we present a 5-year post hoc study on the efficacy of group psychoeducation for bipolar disorders according to the number of previous episodes.

For this subanalysis, we have compared the 5-year outcome of 120 euthymic psychoeducated versus non-psychoeducated bipolar patients according to the number of previous episodes at study entry.

Patients with more than seven episodes at study entry did not show any significant improvement with psychoeducation according to time to recurrence. Patients with more than 14 episodes did not benefit from psychoeducation in terms of a reduction of time spent ill. Patients with 7 or 8 episodes showed a benefit in terms of fewer days spent in hypomania, depression, mixed episodes or any episodes but not mania, while patients with 9–14 episodes showed a benefit in terms of fewer days spent in hypomania and depression but not in mixed states or mania. Only patients who presented up to 6 episodes showed reduction in time spent in any episode polarity.

The number of previous episodes clearly worsens response to psychoeducation, perhaps in a more subtle way than that observed with other psychological therapies. Psychoeducation should be delivered as soon as possible in the illness course, supporting the idea of early intervention.