Cognitive impairment in COVID‐19 Survivors: Analysis and Extensions on Population Studies in Greece

Background The aim of our study was to investigate the prevalence and associations of cognitive impairment in COVID‐19 survivors in the post‐acute setting. Method Our study is conducted in three post‐COVID‐19 outpatient clinics in tertiary hospitals in Greece. Eligible subjects included previously hospitalized COVID‐19 survivors with mild to moderate disease, returning for follow‐up at least two months post‐discharge. Exclusion criteria included intensive care unit admission, intubation, a history of neurodegenerative disease and other significant comorbidities. Study measurements included demographics, clinical evaluation, medical, family history, anthropometrics, 6‐minute walk test (6MWT), 30 seconds sit‐to‐stand (30STS), handgrip strength, spirometry, Pittsburgh Sleep Quality Index (PSQI), the Montreal Cognitive Assessment (MoCA), reactive oxygen metabolites (dROMs) and plasma antioxidant capacity (PAT). Cognitive impairment was considered on MoCA ≤24. Result 142 COVID‐19 survivors were included in the study (110 Male, 32 Female;Mean age of 56.16±10.92). A total of 47.2% presented with cognitive decline (CD) as indicated by a MoCA score ≤24. Cognitive decline prevalence by SARS‐CoV‐2 variant of concern (VOC) was 39.5%, 50% and 62.5% for Alpha, Beta and Delta, correspondingly. A binary logistic regression model controlling for age, gender and VOC indicated that the diffusing capacity for carbon monoxide (DLCO) was independently associated with MoCA ≤24 (p = 0.014, OR = 0.669, 95%CI: 0.484‐0.923). Compared to severe untreated OSAS (n = 28), distinct domains but similar prevalence of cognitive impairment was noted. Conclusion Diffusion capacity abnormalities for carbon monoxide in COVID‐19 survivors as noted in other studies, may be implicated in the development of cognitive impairment.

Anti-MOG Positive Bilateral Optic Neuritis and Brainstem Encephalitis Secondary to COVID-19 Infection: A Case Report.

(1) Introduction: There have been numerous reports on the neuroinvasive competence of SARS-CoV-2. Here, we present a case with anti-MOG positive bilateral optic neuritis and brainstem encephalitis secondary to COVID-19 infection. Additionally, we present a review of the current literature regarding the manifestation of anti-MOG positive optic neuritis as well as anti-MOG positive encephalitis after COVID-19 infection. (2) Case Report: A 59-year-old female patient, with a recent history of COVID-19 infection, presented a progressive reduction of visual acuity and bilateral retrobulbar pain for the last 20 days. An ophthalmological examination revealed a decreased visual acuity (counting fingers) and a bilateral papilledema. An MRI scan of the brain revealed a mild thickening of the bilateral optic nerves and high-intensity lesions in the medial and right lateral pons. A high titer of IgG and IgM antibodies against SARS-CoV-2 in serum and antibodies against myelin oligodendrocyte glycoprotein (anti-MOG) in serum and CSF were revealed. The diagnosis of anti-MOG brainstem encephalitis and optic neuritis was set. (3) Conclusions: The history of COVID-19 infection should raise awareness about these autoimmune and infection-triggered diseases, such as anti-MOG antibody disease.

Prevalence and Determinants of Chronic Pain Post-COVID; Cross-Sectional Study.

INTRODUCTION: Chronic pain is increasingly recognized as part of long COVID syndrome, mainly in the form of myalgias. However, chronic pain has several forms, and according to our clinical experience, COVID-19 survivors suffer from numerous painful syndromes, other than myalgias. The aim of our study was to estimate the prevalence of chronic pain, describe the commonest painful syndromes and identify pain determinants in a random population of COVID-19 survivors. METHODS: This was a cross-sectional study conducted at the Medical School, University of Cyprus. A random population of 90 COVID-19 survivors was recruited. Demographic and COVID-19 related clinical characteristics were recorded. The painDETECT and DN4 questionnaires were used to evaluate the painful syndromes. RESULTS: The prevalence of chronic pain was estimated to be 63.3%. The most common site of pain was low back (37.8%), followed by joints (28.9%) and neck (12.2%). Patients with chronic pain compared to subjects without pain were older (50.5 ± 15.9 versus 42.2 ± 12.6, p = 0.011) and more likely to be female (71.9% versus 45.5%, p = 0.013). One in six subjects (16.7%) reported new-onset pain post COVID-19. The prevalence of neuropathic pain was estimated to be 24.4%. After adjusting for age and gender, headache during COVID-19 was a statistically significant predictor of neuropathic pain, increasing 4.9 times (95% 1.4-16.6, p = 0.011) the odds of neuropathic pain. CONCLUSION: Chronic pain-especially neuropathic-is widely prevalent in COVID-19 survivors. One in six subjects will develop new-onset pain that will persist beyond the acute phase of the disease and, therefore, should be considered a symptom of long COVID syndrome.

Trained immunity in viral infections, Alzheimer's disease and multiple sclerosis: A convergence in type I interferon signalling and IFNß-1a.

Type I interferon (IFN-I) signalling represents a major target for modulation in a virus' bid for latency. IFN-I perturbations are also present in such as Alzheimer's disease (AD) and multiple sclerosis (MS), where viral infections are known to increase symptomatic burden. IFN-I modulation such as via IFNß-1a, an established MS treatment, has been researched to a limited extent to both AD and COVID-19. In this mini review, we present emerging research on trained immunity as a pathogenetic basis for Alzheimer's disease and the emerging context for IFNß-1a repositioning, via mechanisms shared with multiple sclerosis and induced by viral infections.

Modeling the first wave of Covid-19 pandemic in the Republic of Cyprus.

We present different data analytic methodologies that have been applied in order to understand the evolution of the first wave of the Coronavirus disease 2019 in the Republic of Cyprus and the effect of different intervention measures that have been taken by the government. Change point detection has been used in order to estimate the number and locations of changes in the behaviour of the collected data. Count time series methods have been employed to provide short term projections and a number of various compartmental models have been fitted to the data providing with long term projections on the pandemic's evolution and allowing for the estimation of the effective reproduction number.

Medical Studies during the COVID-19 Pandemic: The Impact of Digital Learning on Medical Students' Burnout and Mental Health.

OBJECTIVES: The aim of this ecological study was to investigate what the impact of digital learning due to the COVID-19 pandemic was on the burnout and overall mental health (MH) of medical students. BACKGROUND: During the unprecedented era of the COVID-19 pandemic, the majority of countries worldwide adopted very strong measures. Universities closed their doors, and education continued through digital learning lectures. METHODS: An anonymous questionnaire was administered to all 189 eligible candidates before and during the COVID-19 pandemic. Mental health was assessed via the MH domain of the 36-item Short Form Health Survey (SF-36) and burnout with the Maslach Burnout Inventory-Student Survey (MBI-SS). RESULTS: The overall response rate was 81.5%. The overall burnout prevalence did not differ significantly between the two periods (pre-COVID-19 18.1% vs. COVID-19 18.2%). However, the burnout prevalence dropped significantly in year 4 (pre-COVID-19 40.7% vs. COVID-19 16.7%, p = 0.011), whereas it increased significantly in year 6 (pre-COVID-19 27.6% vs. COVID-19 50%, p = 0.01). When looking at each MBI-SS dimension separately, we found that emotional exhaustion decreased significantly in year 4 but increased in year 6, and cynicism increased in all years. The overall MH deteriorated significantly between the two periods (pre-COVID-19 58.8 ± 21.6 vs. COVID-19 48.3 ± 23, p < 0.001). CONCLUSIONS: Digital learning in medical studies carries significant risks. Not only does the MH deteriorate, but cynicism levels also increase. Emotional exhaustion was found to increase particularly in final year students, who struggle with the lack of clinical experience just before they start working as qualified junior doctors.