ABSTRACT
Background: Little is known about the underpinning mechanisms of neurological dysfunction in post-COVID syndrome. Methods: We conducted a cross-sectional study of 87 consecutive subjects after a mild infection, with a median of 54 days after diagnosis of COVID-19. We performed structured interviews, neurological examinations, 3T-MRI scans, and neuropsychological assessments. The MRI study included white matter investigation with diffusion tensor images (DTI) and functional connectivity with resting-state functional MRI (RS-fMRI). Results: Subjects self-reported headaches (40%) and memory difficulties (33%). The quantitative analyses confirmed symptoms of fatigue (68% of participants), excessive somnolence (35%), symptoms of anxiety (29%), impaired cognitive flexibility (40%), and language dysfunction (33%). Besides, we observed a correlation between DTI fractional anisotropy (FA) and abnormal attention and cognitive flexibility in the Trail Making Test part B. Elevated levels of fatigue and somnolence associated with higher connectivity of the posterior cingulate cortex (PCC) in the RS-fMRI study of the default mode network. While higher connectivity of the PCC with bilateral angular gyri was associated with higher fatigue levels, the elevated levels of somnolence correlated with higher connectivity between the PCC and both the left thalamus and putamen. Conclusions: COVID-19 is associated with long-term neuropsychiatric symptoms and cerebral functional and microstructural alterations.
Subject(s)
Anxiety Disorders , Language Disorders , Fatigue , Headache , Disorders of Excessive Somnolence , Attention Deficit Disorder with Hyperactivity , Nervous System Diseases , Mobility Limitation , COVID-19 , Brain Diseases , Cognition DisordersABSTRACT
INTRODUCTION: Understanding the different transmission routes of SARS-CoV-2 is crucial in planning effective interventions in healthcare institutions. This study aimed to evaluate the presence of SARS-Cov-2 genome on inanimate surfaces in COVID-19 intensive care unit and emergency care cohorts. METHODS: This is a prospective cross-sectional study. Samples of the environmental surface of objects and furniture were collected between July 15 and October 15, 2020, at COVID-19 intensive and emergency care units. The presence of SARS-CoV-2 genome was determined by quantitative RT-qPCR. The positivity rate for SARS-Cov-2 genome is presented as the arithmetic mean of the sum of the values obtained in each collection. Values of 1.0, 0.5, and 0.0 were assigned for positive, indeterminate, and negative events, respectively. RESULTS: In the intensive care unit, 86% of samples collected at the stethoscope and bed rail surfaces were positive. In the emergency care unit, 43% of bathroom tap, bed rails, and bedside table samples were positive. SARS-CoV-2 genome was not detected at the computer mouse and keyboard. At the emergency care unit, 14.3% of the samples from the collection room armchair were positive. CONCLUSIONS: SARS-CoV-2 genome can be found at the environmental surface of objects and furniture at COVID-19 care units. They can represent a potential source of indirect transmission pathway for COVID-19, especially within health service institutions.
Subject(s)
COVID-19 , Emergency Medical Services , Cross-Sectional Studies , Humans , Intensive Care Units , Prospective Studies , RNA, Viral/genetics , SARS-CoV-2/geneticsABSTRACT
Although post-acute cognitive dysfunction and neuroimaging abnormalities have been reported after hospital discharge in patients recovered from COVID-19, little is known about persistent, long-term alterations in people without hospitalization. We conducted a cross-sectional study of 87 non-hospitalized recovered individuals 54 days after the laboratory confirmation of COVID-19. We performed structured interviews, neurological examination, 3T-MRI scans with diffusion tensor images (DTI) and functional resting-state images (fMRI). Also, we investigated fatigue, anxiety, depression, somnolence, language, memory, and cognitive flexibility, using validated instruments. Individuals self-reported a high frequency of headache (40%) and memory difficulties (33%). The quantitative analyses confirmed symptoms of fatigue (68%), excessive somnolence (35%), anxiety (29%), impaired cognitive flexibility (40%) and language impairment (33%). There were widespread cerebral white matter alterations (mainly characterized by increased fractional anisotropy), which correlated with abnormal attention and cognitive flexibility. The resting-state fMRI networks analysis showed severely disrupted brain hyperconnectivity and loss of resting-state networks specificity.