Background/Objective: The heterogeneous clinical presentations of individuals with Autism Spectrum Disorders (ASD) pose a significant challenge for sample characterization. Therefore the main goal of DSM-5 must be to identify subgroups of ASD, including comorbidity disorders and severity. The main goal of this study is to explore the psychiatric comorbidities and the severity of symptoms that could be relevant for the phenotype characterization in ASD and also to compare these results according to the different classification criteria between the DSM-IV-TR and the DSM-5. Method: A comparative study of severity and psychiatric comorbidities was carried out between a sample of participants that only met criteria for Pervasive Developmental Disorder (PDD) according to the DSM-IV-TR and a sample of participants that also met ASD criteria according to DSM-5 classification. The recruitment of children was via educational (N = 123). The psychiatric symptoms, comorbid disorders and severity of symptoms were assessed through The Nisonger Child Behavior Rating Form, clinical interview and The Inventory of Autism Spectrum Disorder, respectively. The psychiatric comorbidities considered were: anxiety, eating behavioural problems, self-aggressiveness, hetero–aggressiveness, self-harm, obsessive compulsive disorder and attention deficit and hyperactivity disorder. Results: Statistically significant differences between both groups were found regarding obsessive compulsive disorder, eating behavioural problems and severity. Conclusions: The results support the hypothesis that patients who meet the DSM-5 criteria have more severe symptoms, not only regarding the core autistic symptoms but also in relation with psychiatric comorbidities.

No abstract

Brain volume and thickness abnormalities have been reported in first-episode psychosis (FEP). However, it is unclear if and how they are modulated by brain developmental stage (and, therefore, by age at FEP as a proxy). This is a multicenter cross-sectional case-control brain magnetic resonance imaging (MRI) study. Patients with FEP (n = 196), 65.3% males, with a wide age at FEP span (12-35 y), and healthy controls (HC) (n = 157), matched for age, sex, and handedness, were scanned at 6 sites. Gray matter volume and thickness measurements were generated for several brain regions using FreeSurfer software. The nonlinear relationship between age at scan (a proxy for age at FEP in patients) and volume and thickness measurements was explored in patients with schizophrenia spectrum disorders (SSD), affective psychoses (AFP), and HC. Earlier SSD cases (ie, FEP before 15-20 y) showed significant volume and thickness deficits in frontal lobe, volume deficits in temporal lobe, and volume enlargements in ventricular system and basal ganglia. First-episode AFP patients had smaller cingulate cortex volume and thicker temporal cortex only at early age at FEP (before 18-20 y). The AFP group also had age-constant (12-35-y age span) volume enlargements in the frontal and parietal lobe. Our study suggests that age at first episode modulates the structural brain abnormalities found in FEP patients in a nonlinear and diagnosis-dependent manner. Future MRI studies should take these results into account when interpreting samples with different ages at onset and diagnosis.

No abstract

The shared reduced volume and thickness in the anterior and posterior regions of the insula in ASD and FEP provides the first tentative evidence that these conditions share structural pathology that may be linked to shared symptomatology.

Background: The COVID-19 pandemic has had global effects; cases have been counted in the tens of millions, and there have been over two million deaths throughout the world. Health systems have been stressed in trying to provide a response to the increasing demand for hospital beds during the different waves. This paper analyzes the dynamic response of the hospitals of the Community of Madrid (CoM) during the first wave of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in the period between 18 March and 31 May 2020. The aim was to model the response of the CoM’s health system in terms of the number of available beds. Methods: A research design based on a case study of the CoM was developed. To model this response, we use two concepts: “bed margin” (available beds minus occupied beds, expressed as a percentage) and “flexibility” (which describes the ability to adapt to the growing demand for beds). The Linear Hinges Model allowed a robust estimation of the key performance indicators for capturing the flexibility of the available beds in hospitals. Three new flexibility indicators were defined: the Average Ramp Rate Until the Peak (ARRUP), the Ramp Duration Until the Peak (RDUP), and the Ramp Growth Until the Peak (RGUP). Results: The public and private hospitals of the CoM were able to increase the number of available beds from 18,692 on 18 March 2020 to 23,623 on 2 April 2020. At the peak of the wave, the number of available beds increased by 160 in 48 h, with an occupancy of 90.3%. Within that fifteen-day period, the number of COVID-19 inpatients increased by 200% in non-intensive care unit (non-ICU) wards and by 155% in intensive care unit (ICU) wards. The estimated ARRUP for non-ICU beds in the CoM hospital network during the first pandemic wave was 305.56 beds/day, the RDUP was 15 days, and the RGUP was 4598 beds. For the ICU beds, the ARRUP was 36.73 beds/day, the RDUP was 20 days, and the RGUP was 735 beds. This paper includes a further analysis of the response estimated for each hospital. Conclusions:This research provides insights not only for academia, but also for hospital management and practitioners. The results show that not all of the hospitals dealt with the sudden increase in bed demand in the same way, nor did they provide the same flexibility in order to increase their bed capabilities. The bed margin and the proposed indicators of flexibility summarize the dynamic response and can be included as part of a hospital’s management dashboard for monitoring its behavior during pandemic waves or other health crises as a complement to other, more steady-state indicators.

The aim of the study was to analyze changes in functional adjustment from childhood to 2 years after the first episode of psychosis (FEP) in patients with early-onset schizophrenia spectrum disorders (SSD) and affective psychoses (AFP) and a good or intermediate level of premorbid adjustment. We followed 106 adolescents (aged 12-17 years) with FEP for 2 years after recruitment. Premorbid adjustment in childhood was assessed in 98 patients with the childhood subscale of the Cannon-Spoor Premorbid Adjustment Scale (c-PAS). Global functioning was assessed 2 years after the FEP with the Children's Global Assessment Scale (c-GAS) or the Global Assessment of Functioning scale (GAF), as appropriate. Functional deterioration was defined as a downward shift in the level of functional adjustment from childhood to 2 years after the FEP. In patients with good or intermediate premorbid adjustment, functional deterioration was observed in 28.2 % (26.5 % of the AFP group, 29.4 % of the SSD group). Longer duration of untreated psychosis (Beta = 0.01; P = 0.01) and higher symptom severity at the FEP, as measured with the Clinical Global Impression Scale (Beta = 1.12; P = 0.02), significantly predicted the presence of functional deterioration, accounting for 21.4 % of the variance. Irrespective of diagnosis (SSD or AFP), almost one-third of adolescents with FEP and good or intermediate premorbid adjustment showed functional deterioration from the premorbid period to 2 years after the FEP.

No abstract