Deficits in social cognition (SC) are significantly related to community functioning in schizophrenia (SZ). Few studies investigated longitudinal changes in SC and its impact on recovery. In the present study, we aimed: (a) to estimate the magnitude and clinical significance of SC change in outpatients with stable SZ who were assessed at baseline and after 4 years, (b) to identify predictors of reliable and clinically significant change (RCSC), and (c) to determine whether changes in SC over 4 years predicted patient recovery at follow-up.

The reliable change index was used to estimate the proportion of true change in SC, not attributable to measurement error. Stepwise multiple logistic regression models were used to identify the predictors of RCSC in a SC domain (The Awareness of Social Inference Test [TASIT]) and the effect of change in TASIT on recovery at follow-up.

In 548 participants, statistically significant improvements were found for the simple and paradoxical sarcasm of TASIT scale, and for the total score of section 2. The reliable change index was 9.8. A cut-off of 45 identified patients showing clinically significant change. Reliable change was achieved by 12.6% and RCSC by 8% of participants. Lower baseline TASIT sect. 2 score predicted reliable improvement on TASIT sect. 2. Improvement in TASIT sect. 2 scores predicted functional recovery, with a 10-point change predicting 40% increase in the probability of recovery.

The RCSC index provides a conservative way to assess the improvement in the ability to grasp sarcasm in SZ, and is associated with recovery.

Resilience is defined as the ability to modify thoughts to cope with stressful events. Patients with schizophrenia (SCZ) having higher resilience (HR) levels show less severe symptoms and better real-life functioning. However, the clinical factors contributing to determine resilience levels in patients remain unclear. Thus, based on psychological, historical, clinical and environmental variables, we built a supervised machine learning algorithm to classify patients with HR or lower resilience (LR).

SCZ from the Italian Network for Research on Psychoses (N = 598 in the Discovery sample, N = 298 in the Validation sample) underwent historical, clinical, psychological, environmental and resilience assessments. A Support Vector Machine algorithm (based on 85 variables extracted from the above-mentioned assessments) was built in the Discovery sample, and replicated in the Validation sample, to classify between HR and LR patients, within a nested, Leave-Site-Out Cross-Validation framework. We then investigated whether algorithm decision scores were associated with the cognitive and clinical characteristics of patients.

The algorithm classified patients as HR or LR with a Balanced Accuracy of 74.5% (p < 0.0001) in the Discovery sample, and 80.2% in the Validation sample. Higher self-esteem, larger social network and use of adaptive coping strategies were the variables most frequently chosen by the algorithm to generate decisions. Correlations between algorithm decision scores, socio-cognitive abilities, and symptom severity were significant (pFDR < 0.05).

We identified an accurate, meaningful and generalizable clinical-psychological signature associated with resilience in SCZ. This study delivers relevant information regarding psychological and clinical factors that non-pharmacological interventions could target in schizophrenia.

Permanent pacing in children with isolated congenital complete atrioventricular block may cause left ventricular dysfunction. To prevent it, alternative pacing sites have been proposed: left ventricular epicardial or selective right ventricular endocardial pacing.

To compare the functional outcome (left ventricular systolic function and synchrony) in paediatric patients with congenital complete atrioventricular block and left ventricular apical epicardial or right ventricular transvenous mid-septal pacing.

Retrospective study. Epicardial leads were implanted by standard surgical technique, transvenous leads by 3D electroanatomic mapping systems. 3D mapping acquired 3D right ventricular local pacing map and defined the narrowest paced QRS site. 3D mapping guided screw-in bipolar leads on that ventricular site. Electrocardiogram (ECG) (QRS duration) and echocardiographic data (synchrony: interventricular mechanical delay, septal to posterior wall motion delay, systolic dyssynchrony index; contractility: global longitudinal strain, ejection fraction) were recorded. Data are reported as median [interquartile ranges]. p < 0.05 was significant.

There were 19 transvenous systems (age 8.8 [6–14] years; right ventricular mid-septum) and 17 epicardial systems (0.04 [0.001–0.6] years; left ventricular apex). Post-implantation QRS significantly widened either in endocardial or in epicardial patients. Most patients reached 4-year follow-up. One-year and 4-year ejection fraction and global longitudinal strain were mostly within normal limits and did not show significant differences between the two groups and between the same endocardial/epicardial group. Synchrony parameters were within normal limits in the two groups.

Left ventricular apical epicardial pacing and 3D mapping-guided right ventricular mid-septal pacing preserved left ventricular contractility and synchrony in children and adolescents with congenital complete atrioventricular block at short-/mid-term follow-up, without relevant significant differences between the two groups.

22q11.2 Deletion Syndrome (22q11.2DS) represents a congenital syndrome with several clinical features. It entails a 25% risk of psychotic onset in lifespan. 22q11.2DS is a reliable model for biological vulnerability to schizophrenia.

With the hypothesis of similar impairments in schizophrenia and 22q11DS, to investigate a possible correlation between Social Cognition (SC) and Interpersonal Functioning (FU).

Sample consists of 1735 adults: 893 schizophrenic subjects (SCZ); 18 with 22q11.2DS and psychosis (DEL_SCZ); 44 22q11.2DS individuals (DEL); 780 healthy controls (HC). SCZ and HC data come from a multicentric study by Network for Research on Psychoses. SC was assessed with The Awareness of Social Interference Test (TASIT, consisting of three sections: T1= Emotion Recognition; T2=Minimal Social Inference; T3=Social Inference Enriched). The Specific Levels of Functioning (SLOF) interview was employed.

DEL_SCZ (p<0.001) and SCZ (p<0.001) showed impairments in each TASIT sections compared to HC. Significant deficits in interpersonal functioning area were found in SCZ (p<0.001) compared to HC. The interpersonal functioning domain showed a positive correlation with SC in HC (T1: r=0.097; p<0.001; T2: r=0.120; p=0.001; T3: r=0.121; p=0.001); DEL (T1: r=0.380; p=0.024; T2: r=0.466; p=0.005) and SCZ (T1: r=0.113, p=0.001; T2: r=0.110, p=0.001; T3: r=0.134; p<0.001).

SC deficits both in subjects with 22q11.2DS and in people with schizophrenia suggest a role of endophenotypes. SC is directly correlated to interpersonal functioning in 22q11.2DS without psychosis and people with schizophrenia. DEL_SCZ may suffer from deeper cognitive and symptomatic conditions that both impact differently on FU.

An unprecedented wave of patients with acute respiratory failure due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease 2019 (COVID-19) hit emergency departments (EDs) in Lombardy, starting in the second half of February 2020. This study describes the direct and indirect impacts of the SARS-CoV-2 outbreak on an urban major-hospital ED.

Data regarding all patients diagnosed with COVID-19 presenting from February 1 to March 31, 2020, were prospectively collected, while data regarding non-COVID patients presenting within the same period in 2019 were retrospectively retrieved.

ED attendance dropped by 37% in 2020. Two-thirds of this reduction occurred early after the identification of the first autochthonous COVID-19 case in Lombardy, before lockdown measures were enforced. Hospital admissions of non-COVID patients fell by 26%. During the peak of COVID-19 attendance, the ED faced an extraordinary increase in: patients needing oxygen (+239%) or noninvasive ventilation (+725%), transfers to the intensive care unit (+57%), and in-hospital mortality (+309%), compared with the same period in 2019.

The COVID-19 outbreak determined an unprecedented upsurge in respiratory failure cases and mortality. Fear of contagion triggered a spontaneous, marked reduction of ED attendance, and, presumably, some as yet unknown quantity of missed or delayed diagnoses for conditions other than COVID-19.

The ‘jumping to conclusions’ (JTC) bias is associated with both psychosis and general cognition but their relationship is unclear. In this study, we set out to clarify the relationship between the JTC bias, IQ, psychosis and polygenic liability to schizophrenia and IQ.

A total of 817 first episode psychosis patients and 1294 population-based controls completed assessments of general intelligence (IQ), and JTC, and provided blood or saliva samples from which we extracted DNA and computed polygenic risk scores for IQ and schizophrenia.

The estimated proportion of the total effect of case/control differences on JTC mediated by IQ was 79%. Schizophrenia polygenic risk score was non-significantly associated with a higher number of beads drawn (B = 0.47, 95% CI −0.21 to 1.16, p = 0.17); whereas IQ PRS (B = 0.51, 95% CI 0.25–0.76, p < 0.001) significantly predicted the number of beads drawn, and was thus associated with reduced JTC bias. The JTC was more strongly associated with the higher level of psychotic-like experiences (PLEs) in controls, including after controlling for IQ (B = −1.7, 95% CI −2.8 to −0.5, p = 0.006), but did not relate to delusions in patients.

Our findings suggest that the JTC reasoning bias in psychosis might not be a specific cognitive deficit but rather a manifestation or consequence, of general cognitive impairment. Whereas, in the general population, the JTC bias is related to PLEs, independent of IQ. The work has the potential to inform interventions targeting cognitive biases in early psychosis.

Schizotypy and Cluster A personality profiles are more represented in first-degree relatives of patients with schizophrenia than in the general population. This study presents two diagnostic instruments for the assessment of cluster A personality profiles: the Structured Clinical Interview for personality disorders Axis II (SCID-II) and the Shedler-Westen Assessment Procedure (SWAP 200).

1. 1) Verify sensitivity of SCID-II and SWAP-200 to detect schizophrenia spectrum personality traits;

2. 2) Assess the prevalence of the traits and personality disorders (PD) related to cluster A.

Evaluate diagnostic sensitivity of these instruments in detecting schizotypy and cluster A personality profiles, that are ultra high risk predictors for psychosis.

25 schizophrenic patients(SchzP), 18 their first-degree relatives(FdR), 23 healthy-control(HC) subjects, have been subjected to personality assessment. MANOVA and subsequent planned comparisons were assessed to detect difference between PD profiles in the three groups.

SchzP present significant scores relative to cluster A in both evaluations. FdR show statistically significant differences compared with HC, with higher mean scores relative to cluster A profiles measured with SWAP-200 [PD: Paranoid F(1,63)=7.02;p=0.01. Schizoid F(1,63)=6.56;p=0.013. Schizotypy F(1,63)=6.1;p=0.016; Q-Factor: Schizoid (F(1,63)=6.47;p=0.013; Paranoid F(1,63)=2.11;p=0.151], but not with SCID-II.

Data suggest low sensitivity of SCID-II to identify traits related to cluster A. FdR scored for traits related to schizophrenia spectrum greater than in the general population. SWAP-200 is able to accurately evidentiate the presence of schizotypal traits in FdR of patients with schizophrenia and suggests the importance of a clinical dimensional diagnosis for a more reliable identification of schizophrenia spectrum.

Data show impairment in Social Cognition (SC) in schizophrenia underlining also the diagnostic importance of neuroimaging in this area. So, it seems important to identify possible correlations between SC and structural brain abnormalities.

1)Evaluate differences in emotional recognition between schizophrenics and healthy controls and the structural characteristics of the anterior left and right thalamic radiation (TR) of both groups. 2)Identify possible association between sociocognitive abilities and structural characteristics of the thalamic radiation.

Investigate the relationship between anomalies in integrity and fiber orientation of anterior TR and sociocognitive performance in schizophrenia.

27 Schizophrenics (SCID-I), age-matched with 11 healthy controls, were evaluated with The awareness of Social Inference Test (TASIT) to assess emotion and conversation literally and non-literally remarks recognition. DTI images –with measure of fractional anisotropy (FA) of TR– were collected using 3T-MRI scanner. Mixed-design ANOVA was performed on right and left FA. MANOVA was performed on TASIT.

Deficits in recognition of positive and negative emotions, perceive sarcasm, distinguish between truth and lies were observed. Moreover, significant negative correlations between FA of left TR and scores in “Positive Emotions” (r=-466,p=.019), “Total Emotions” (r=-411,p=.041), “Lie” (r=-451,p=.024) and a negative significant correlation between FA right TR and scores “sincerity” (r=-522,p=.009), were observed.

These preliminary results confirm that SC is impaired in schizophrenia and show that increased FA of left and right TR correlates with lower TASIT scores. These results highlight the role of TR in emotion regulation suggesting that structural anomalies could result in worse sociocognitive performance.

The increased use of the MATRICS Consensus Cognitive Battery (MCCB) to investigate cognitive dysfunctions in schizophrenia fostered interest in its sensitivity in the context of family studies. As various measures of the same cognitive domains may have different power to distinguish between unaffected relatives of patients and controls, the relative sensitivity of MCCB tests for relative–control differences has to be established. We compared MCCB scores of 852 outpatients with schizophrenia (SCZ) with those of 342 unaffected relatives (REL) and a normative Italian sample of 774 healthy subjects (HCS). We examined familial aggregation of cognitive impairment by investigating within-family prediction of MCCB scores based on probands’ scores.

Multivariate analysis of variance was used to analyze group differences in adjusted MCCB scores. Weighted least-squares analysis was used to investigate whether probands’ MCCB scores predicted REL neurocognitive performance.

SCZ were significantly impaired on all MCCB domains. REL had intermediate scores between SCZ and HCS, showing a similar pattern of impairment, except for social cognition. Proband's scores significantly predicted REL MCCB scores on all domains except for visual learning.

In a large sample of stable patients with schizophrenia, living in the community, and in their unaffected relatives, MCCB demonstrated sensitivity to cognitive deficits in both groups. Our findings of significant within-family prediction of MCCB scores might reflect disease-related genetic or environmental factors.