Relation of COVID-19 with liver diseases and their impact on healthcare systems: The Portuguese case.

BACKGROUND: The impact caused by the coronavirus disease 2019 (COVID-19) on the Portuguese population has been addressed in areas such as clinical manifestations, frequent comorbidities, and alterations in consumption habits. However, comorbidities like liver conditions and changes concerning the Portuguese population's access to healthcare-related services have received less attention. AIM: To (1) Review the impact of COVID-19 on the healthcare system; (2) examine the relationship between liver diseases and COVID-19 in infected individuals; and (3) investigate the situation in the Portuguese population concerning these topics. METHODS: For our purposes, we conducted a literature review using specific keywords. RESULTS: COVID-19 is frequently associated with liver damage. However, liver injury in COVID-19 individuals is a multifactor-mediated effect. Therefore, it remains unclear whether changes in liver laboratory tests are associated with a worse prognosis in Portuguese individuals with COVID-19. CONCLUSION: COVID-19 has impacted healthcare systems in Portugal and other countries; the combination of COVID-19 with liver injury is common. Previous liver damage may represent a risk factor that worsens the prognosis in individuals with COVID-19.

Early humoral response to COVID-19 vaccination in patients living with obesity and diabetes in France. The COVPOP OBEDIAB study with results from the ANRS0001S COV-POPART cohort.

BACKGROUND: Patients with diabetes and obesity are populations at high-risk for severe COVID-19 outcomes and have shown blunted immune responses when administered different vaccines. Here we used the 'ANRS0001S COV-POPART' French nationwide multicenter prospective cohort to investigate early humoral response to COVID-19 vaccination in the sub-cohort ('COVPOP OBEDIAB') of patients with obesity and diabetes. METHODS: Patients with diabetes (n = 390, type 1 or 2) or obesity (n = 357) who had received two vaccine doses and had no history of previous COVID-19 infection and negative anti-nucleocapsid (NCP) antibodies were included and compared against healthy subjects (n = 573). Humoral response was assessed at baseline, at one month post-first dose (M0) and one-month post-second dose (M1), through percentage of responders (positive anti-spike SARS-CoV-2 IgG antibodies (Sabs), geometric means of Sabs; BAU/mL), proportion of individuals with anti-RBD antibodies, and proportion of individuals with anti-SARS-CoV-2-specific neutralizing antibodies (Nabs). Potential clinical and biological factors associated with weak response (defined as Sabs < 264 BAU/mL) and presence of non-reactive anti-RBD antibodies at M1 were evaluated. Univariate and multivariate regressions were performed to estimate crude and adjusted coefficients with 95 % confidence intervals. Poor glycemic control was defined as HbA1c ≥ 7.5 % at inclusion. RESULTS: Patients with diabetes, particularly type 2 diabetes, and patients with obesity were less likely to have positive Sabs and anti-RBD antibodies after the first and second dose compared to controls (p < 0.001). At M1, we found Sabs seroconversion in 94.1 % of patients with diabetes versus 99.7 % in controls, anti-RBD seroconversion in 93.8 % of patients with diabetes versus 99.1 % in controls, and Nabs seroconversion in 95.7 % of patients with diabetes versus 99.6 % in controls (all p < 0.0001). Sabs and anti-RBD seroconversion at M0 and M1 were also significantly lower in obese patients than controls, at respectively 82.1 % versus 89.9 % (p = 0.001; M0 Sabs), 94.4 % versus 99.7 % (p 0.001; M1 Sabs), 79.0 % vs 86.2 % (p = 0.004 M0 anti-RBD), and 96.99 % vs 99.1 % (p = 0.012 M1 anti-RBD). The factors associated with low vaccine response (BAU < 264/mL) in patients with diabetes were chronic kidney disease (adjusted OR = 6.88 [1.77;26.77], p = 0.005) and poor glycemic control (adjusted OR = 3.92 [1.26;12.14], p = 0.018). In addition, BMI ≥ 40 kg/m2 was found to be associated with a higher vaccine response (adjusted OR = 0.10 [0.01;0.91], p = 0.040) than patients with BMI < 40 kg/m2. CONCLUSION: COVID-19 vaccine humoral response was lower in patients with obesity and diabetes one month after second dose compared to controls, especially in diabetic patients with CKD or inadequate glycemic control. These findings point to the need for post-vaccination serological checks in these high-risk populations.

Depression in healthcare workers: Results from the nationwide AMADEUS survey.

BACKGROUND: There is now a wealth of evidence showing that work is a major determinant of physical and mental health. Recent studies have suggested increased rates of depression in healthcare workers (HCWs) in the context of the Covid-19 pandemic, with direct impact on care quality and productivity. AIM: To determine the rate of clinical depression in a national sample of HCWs in France during the post-Covid-19 area and to identify related factors (professional, individual and health-related risk behaviors) using a structural equation modeling analysis. METHOD: A survey comprising a number of standardized scales was sent to public and private national healthcare facilities through the mail or disseminated through emails from professional associations and social networks. RESULTS: 10,325 participants were recruited; 3122 (30.2%, 95% confidence interval [29.4-31.1]) met likely diagnostic criteria for clinical depression. Professional factors had the largest total effect (ß = 0.57) (burn-out: ß = 0.74, sustained bullying at the workplace ß = 0.48 and decision-making latitude ß = -0.47), followed by individual factors (ß = 0.30) (the main individual factor was recurrent major depression, path coefficient = 0.67). Professional factors had both a direct (path coefficient = 0.38) and indirect (through health risk behaviors, path coefficient = 0.19) effect on depression. Individual factors had a direct (path coefficient 0.21) and indirect (through health risk behaviors (path coefficient = 0.09) effect on depression. Health risk behaviors had a direct effect on depression (path coefficient = 0.31). INTERPRETATION: These results provide potential explanations for the likely causes of poor psychological health among HCWs. We propose several potential interventions related to professional factors and health risk behaviors. Our results suggest that improving organizational issues, reducing exposure to potentially morally injurious events, promoting brief naps at work and provision of evidence-based prevention approaches have been reported to be helpful in supporting the mental health of hospital staff (not only relaxation or stress management but training in leadership aspects, increasing the knowledge and practice of giving efficient performance feedback, reducing conflicting demands and peer support programs such as Trauma Risk Management. Our data suggest that developing caregivers reported experience and outcome measures (CREMs/CROMs) would be helpful to monitor work environment and its effect on depression in healthcare workers.

Impact of the COVID-19 pandemic in the Portuguese population: Consumption of alcohol, stimulant drinks, illegal substances, and pharmaceuticals.

BACKGROUND: The measures implemented by governments worldwide to control and prevent the spread of the COVID-19 have impacted the populations and directly influenced individuals' quality of life and consumption habits. OBJECTIVE: This work investigates the Portuguese population's changes in alcohol, stimulants drinks, illegal substances, and pharmaceutical consumptions habits during the COVID-19 pandemic. METHODS: An online questionnaire comprising seven groups of questions-with one group referring to alcohol, stimulant drinks, illegal substances, and pharmaceuticals consumption habits-was made available to the general adult population of mainland Portugal from the 26th January through the 31st of March 2021. After applying the inclusion criteria, 1666 questionnaires were selected and analysed using descriptive and inferential statistics. RESULTS: Our results show that 48.9% of the participants have alcohol drinking habits and increased their alcohol consumption by 16% after the beginning of the COVID-19 pandemic lockdown. Furthermore, 8.7% of the respondents felt the need to increase their consumption of stimulant drinks, especially coffee, the most consumed stimulant drink (77.9%). We also observed that of the 3.1% of respondents who are usual consumers of illegal substances, 26.9% increased their consumption of these substances during the COVID-19 pandemic. Concerning pharmaceuticals, 23.2% of the respondents expressed their need to take a therapeutic drug after the start of the COVID-19 pandemic. The profile of common consumers of alcohol, stimulant drinks, illegal substances, and pharmaceuticals in the COVID-19 pandemic context is contrasting and varies according to gender, age, and employment status. CONCLUSIONS: The COVID-19 pandemic led to an increase in the consumption of alcohol, stimulant drinks, illegal substances, and pharmaceuticals prescribed to treat anxiety, depression, and sleep changes in the Portuguese population. These new consumption patterns have probably aggravated domestic violence, mental diseases, and impairment of family quality of life in the Portuguese population.

A multicenter cross-sectional French study of the impact of COVID-19 on neuromuscular diseases.

BACKGROUND: Due to their health condition, patients with neuromuscular diseases (NMD) are at greater risk of developing serious complications with COVID-19. The objective of this study was to analyze the prevalence of COVID-19 among NMD patients and the risk factors for its impact and severity during the first wave of the pandemic. Clinical data were collected from NMD-COVID-19 patients, between March 25, 2020 and May 11, 2020 in an anonymous survey carried out by expert physicians from the French Health Care Network Filnemus. RESULTS: Physicians reported 84 patients, including: 34 with myasthenia gravis, 27 with myopathy and 23 with neuropathy. COVID-19 had no effect on NMD for 48 (58%) patients and 48 (58%) patients developed low COVID-19 severity. COVID-19 caused the death of 9 (11%) NMD patients. Diabetic patients were at greater risk of dying. Patients with diabetes, hypertension or severe forms of NMD had a higher risk of developing a moderate or severe form of COVID-19. In our cohort, corticosteroids and other immunosuppressants were not significantly associated with higher COVID-19 severity for acquired NMD. CONCLUSION: During this period, a small percentage of French NMD patients was affected by COVID-19 compared to the general French population and COVID-19 had a limited short-term effect on them. Diabetes, hypertension and a severe degree of NMD were identified as risk factors of unfavorable outcome following COVID-19. Conversely, in our cohort of patients with acquired NMD, corticosteroids or other immunosuppressants did not appear to be risk factors for more severe COVID-19.

Predict Score: A New Biological and Clinical Tool to Help Predict Risk of Intensive Care Transfer for COVID-19 Patients.

BACKGROUND: The COVID-19 crisis has strained world health care systems. This study aimed to develop an innovative prediction score using clinical and biological parameters (PREDICT score) to anticipate the need of intensive care of COVID-19 patients already hospitalized in standard medical units. METHODS: PREDICT score was based on a training cohort and a validation cohort retrospectively recruited in 2020 in the Marseille University Hospital. Multivariate analyses were performed, including clinical, and biological parameters, comparing a baseline group composed of COVID-19 patients exclusively treated in standard medical units to COVID-19 patients that needed intensive care during their hospitalization. RESULTS: Independent variables included in the PREDICT score were: age, Body Mass Index, Respiratory Rate, oxygen saturation, C-reactive protein, neutrophil-lymphocyte ratio and lactate dehydrogenase. The PREDICT score was able to correctly identify more than 83% of patients that needed intensive care after at least 1 day of standard medical hospitalization. CONCLUSIONS: The PREDICT score is a powerful tool for anticipating the intensive care need for COVID-19 patients already hospitalized in a standard medical unit. It shows limitations for patients who immediately need intensive care, but it draws attention to patients who have an important risk of needing intensive care after at least one day of hospitalization.

The COVID-19 Pandemic: Does Our Early Life Environment, Life Trajectory and Socioeconomic Status Determine Disease Susceptibility and Severity?

A poor socioeconomic environment and social adversity are fundamental determinants of human life span, well-being and health. Previous influenza pandemics showed that socioeconomic factors may determine both disease detection rates and overall outcomes, and preliminary data from the ongoing coronavirus disease (COVID-19) pandemic suggests that this is still true. Over the past years it has become clear that early-life adversity (ELA) plays a critical role biasing the immune system towards a pro-inflammatory and senescent phenotype many years later. Cytotoxic T-lymphocytes (CTL) appear to be particularly sensitive to the early life social environment. As we understand more about the immune response to SARS-CoV-2 it appears that a functional CTL (CD8+) response is required to clear the infection and COVID-19 severity is increased as the CD8+ response becomes somehow diminished or exhausted. This raises the hypothesis that the ELA-induced pro-inflammatory and senescent phenotype may play a role in determining the clinical course of COVID-19, and the convergence of ELA-induced senescence and COVID-19 induced exhaustion represents the worst-case scenario with the least effective T-cell response. If the correct data is collected, it may be possible to separate the early life elements that have made people particularly vulnerable to COVID-19 many years later. This will, naturally, then help us identify those that are most at risk from developing the severest forms of COVID-19. In order to do this, we need to recognize socioeconomic and early-life factors as genuine medically and clinically relevant data that urgently need to be collected. Finally, many biological samples have been collected in the ongoing studies. The mechanisms linking the early life environment with a defined later-life phenotype are starting to be elucidated, and perhaps hold the key to understanding inequalities and differences in the severity of COVID-19.