Brain positron emission tomography (PET) and cognitive abnormalities one year after COVID-19.

Emerging evidence indicates that the etiologic agent responsible for coronavirus disease 2019 (COVID-19), can cause neurological complications. COVID-19 may induce cognitive impairment through multiple mechanisms. The aim of the present study was to describe the possible neuropsychological and metabolic neuroimaging consequences of COVID-19 12 months after patients' hospital discharge. We retrospectively recruited 7 patients (age [mean ± SD] = 56 years ± 12.39, 4 men) who had been hospitalized for COVID-19 with persistent neuropsychological deficits 12 months after hospital discharge. All patients underwent cognitive assessment and brain (18F-FDG) PET/CT, and one also underwent 18F-amyloid PET/CT. Of the seven patients studied, four had normal glucose metabolism in the brain. Three patients showed various brain hypometabolism patterns: (1) unilateral left temporal mesial area hypometabolism; (2) pontine involvement; and (3) bilateral prefrontal area abnormalities with asymmetric parietal impairment. The patient who showed the most widespread glucose hypometabolism in the brain underwent an 18F-amyloid PET/CT to assess the presence of Aß plaques. This examination showed significant Aß deposition in the superior and middle frontal cortex, and in the posterior cingulate cortex extending mildly in the rostral and caudal anterior cingulate areas. Although some other reports have already suggested that brain hypometabolism may be associated with cognitive impairment at shorter intervals from SarsCov-2 infection, our study is the first to assess cognitive functions, brain metabolic activity and in a patient also amyloid PET one year after COVID-19, demonstrating that cerebral effects of COVID-19 can largely outlast the acute phase of the disease and even be followed by amyloid deposition.

One-year cognitive follow-up of COVID-19 hospitalized patients.

BACKGROUND AND PURPOSE: Cognitive dysfunction has been observed following recovery from COVID-19. To the best of our knowledge, however, no study has assessed the progression of cognitive impairment after 1 year. The aim was to assess cognitive functioning at 1 year from hospital discharge, and eventual associations with specific clinical variables. METHODS: Seventy-six patients (aged 22-74 years) who had been hospitalized for COVID-19 were recruited. Patients received neuropsychological assessments at 5 (n = 76) and 12 months (n = 53) from hospital discharge. RESULTS: Over half (63.2%) of the patients had deficits in at least one test at 5 months. Compared to the assessment at 5 months, verbal memory, attention and processing speed improved significantly after 1 year (all p < 0.05), whereas visuospatial memory did not (all p > 0.500). The most affected domains after 1 year were processing speed (28.3%) and long-term visuospatial (18.1%) and verbal (15.1%) memory. Lower PaO2 /FiO2 ratios in the acute phase were associated with worse verbal long-term memory (p = 0.029) and visuospatial learning (p = 0.041) at 5 months. Worse visuospatial long-term memory at 5 months was associated with hyposmia (p = 0.020) and dysgeusia (p = 0.037). CONCLUSION: Our study expands the results from previous studies showing that cognitive impairment can still be observed after 1 year. Patients with severe COVID-19 should receive periodic cognitive follow-up evaluations, as cognitive deficits in recovered patients could have social and occupational implications.

A Multidisciplinary Telerehabilitation Approach for Supporting Social Interaction in Autism Spectrum Disorder Families: An Italian Digital Platform in Response to COVID-19.

Due to its complexity and high variability in symptomology, autism spectrum disorder (ASD) requires a coordinated and multidisciplinary intervention to better support the different programs over time and to promote social interactions in all contexts of life. Telemedicine can offer a valuable contribution in this regard, providing low-cost and portable applications. In this paper, we presented an Italian project, SUPER, which aimed to foster collaboration and information sharing between ASD families, health services, and schools. SUPER provided a digital platform with several tools that were useful both to enhance general and specific ASD knowledge and to promote personalized programs for children with ASD. We conducted a preliminary user test for the platform with 30 participants (18 therapists and 12 parents of children with ASD) using the system usability scale (SUS). The total mean SUS score (89.2) showed that SUPER is an excellent, usable system. Moreover, we extracted the usability and learnability mean components from the SUS scores, which were 96.1 and 61.7, respectively. Our preliminary results indicate that SUPER is a very user-friendly application and its innovative telemedicine approach could be ahelpful communication and collaboration tool among the different contexts of care for children with ASD.