Serum per- and polyfluoroalkyl substance concentrations and longitudinal change in post-infection and post-vaccination SARS-CoV-2 antibodies

Per- and polyfluoroalkyl substances (PFAS) are ubiquitous throughout the United States. Previous studies have shown PFAS exposure to be associated with a reduced immune response. However, the relationship between serum PFAS and antibody levels following SARS-CoV-2 infection or COVID-19 vaccination has not been examined. We examined differences in peak immune response and the longitudinal decline of antibodies following SARS-CoV-2 infection and COVID-19 vaccination by serum PFAS levels in a cohort of essential workers in the United States. We measured serum antibodies using an in-house semi-quantitative enzyme-linked immunosorbent assay (ELISA). Two cohorts contributed blood samples following SARS-CoV-2 infection or COVID-19 vaccination. We used linear mixed regression models, adjusting for age, race/ethnicity, gender, presence of chronic conditions, location, and occupation, to estimate differences in immune response with respect to serum PFAS levels. Our study populations included 153 unvaccinated participants that contributed 316 blood draws over a 14-month period following infection, and 860 participants and 2451 blood draws over a 12-month period following vaccination. Higher perfluorooctane sulfonic acid (PFOS), perfluorohexane sulfonic acid (PFHxS), and perfluorononanoic acid (PFNA) concentrations were associated with a lower peak antibody response after infection (p = 0.009, 0.031, 0.015). Higher PFOS, perfluorooctanoic acid (PFOA), PFHxS, and PFNA concentrations were associated with slower declines in antibodies over time after infection (p = 0.003, 0.014, 0.026, 0.025). PFOA, PFOS, PFHxS, and PFNA serum concentrations prior to vaccination were not associated with differences in peak antibody response after vaccination or with differences in decline of antibodies over time after vaccination. These results suggest that elevated PFAS may impede potential immune response to SARS-CoV-2 infection by blunting peak antibody levels following infection; the same finding was not observed for immune response to vaccination.

COVID-19 subphenotypes at hospital admission are associated with mortality: a cross-sectional study

BACKGROUND

We have an incomplete understanding of COVID-19 characteristics at hospital presentation and whether underlying subphenotypes are associated with clinical outcomes and therapeutic responses.

METHODS

For this cross-sectional study, we extracted electronic health data from adults hospitalized between 1 March and 30 August 2020 with a PCR-confirmed diagnosis of COVID-19 at five New York City Hospitals. We obtained clinical and laboratory data from the first 24 h of the patient's hospitalization. Treatment with tocilizumab and convalescent plasma was assessed over hospitalization. The primary outcome was mortality; secondary outcomes included intubation, intensive care unit (ICU) admission and length of stay (LOS). First, we employed latent class analysis (LCA) to identify COVID-19 subphenotypes on admission without consideration of outcomes and assigned each patient to a subphenotype. We then performed robust Poisson regression to examine associations between COVID-19 subphenotype assignment and outcome. We explored whether the COVID-19 subphenotypes had a differential response to tocilizumab and convalescent plasma therapies.

RESULTS

A total of 4620 patients were included. LCA identified six subphenotypes, which were distinct by level of inflammation, clinical and laboratory derangements and ranged from a hypoinflammatory subphenotype with the fewest derangements to a hyperinflammatory with multiorgan dysfunction subphenotypes. Multivariable regression analyses found differences in risk for mortality, intubation, ICU admission and LOS, as compared to the hypoinflammatory subphenotype. For example, in multivariable analyses the moderate inflammation with fever subphenotype had 3.29 times the risk of mortality (95% CI 2.05, 5.28), while the hyperinflammatory with multiorgan failure subphenotype had 17.87 times the risk of mortality (95% CI 11.56, 27.63), as compared to the hypoinflammatory subphenotype. Exploratory analyses suggested that subphenotypes may differential respond to convalescent plasma or tocilizumab therapy.

CONCLUSION

COVID-19 subphenotype at hospital admission may predict risk for mortality, ICU admission and intubation and differential response to treatment.KEY MESSAGEThis cross-sectional study of COVID patients admitted to the Mount Sinai Health System, identified six distinct COVID subphenotypes on admission. Subphenotypes correlated with ICU admission, intubation, mortality and differential response to treatment.

Efficacy of COVID-19 control measures on post-vaccination outbreak in Italian Long Term Care Facilities: implications for policies

Background

Numerous individual and organizational factors can influence the spread of SARS-CoV-2 infection in Long Term Care Facilities (LTCFs). A range of outbreak control measures are still implemented in most facilities involving administrations, staff, residents and their families. This study aims to evaluate which measure could influence the transmission of SARS-CoV-2 infection among residents during the period March 2021-June 2022.

Methods

We enrolled 3,272 residents aged ≥60 years. The outbreak control measures adopted to prevent or manage the infection included entry regulations, contact-regulating procedures, and virological surveillance of residents and staff. The association between LTCFs' and participants' characteristics with new cases of COVID-19 infections was analyzed using multilevel logistic regression models.

Results

In 33.8% of the facilities 261 cases of SARS-CoV-2 infection were reported. Among participant characteristics, gender and age were not associated with SARS-CoV-2 infection, while having received the vaccine booster dose was protective against infection [Odds Ratio (OR) = 0.34, 95% Confidence Interval (CI) 0.12-0.99, p = 0.048]. In addition, the implementation of protected areas for family visits was associated with a significant reduction of the probability of infections (OR = 0.18, 95% CI 0.03-0.98, p = 0.047). Overall, about 66% of the variability in the probability of SARS-CoV-2 infection during the observational period may be due to facility structure characteristics and 34% to the participant characteristics.

Conclusions

These data showed that vaccination booster doses and family visit restriction-control are still needed to make the LTCFs safer against SARS-CoV-2 infection.

A cross-sectional study of the mental health burden among COVID-19 survivors

Introduction

Coronavirus disease 2019 (COVID-19) pandemic has had a significant impact on mental health, including stress, anxiety, and depression. This study aimed to assess the incidence and severity of mental health issues among individuals diagnosed with COVID-19 infection.

Methods

A semi-structured proforma for socio-demographic and clinical parameters was used to collect cross-sectional hospital-based data of subjects who tested positive for COVID-19 infection. The Modified Fatigue Impact Scale (MFIS), Hospital Anxiety and Depression Scale (HADS), and Perceived Stress Scale (PSS) were used to assess the presence of physical, psychological, and cognitive symptoms. The presence of anxiety, depression, and stress was based on the cut-off scores for HADS-A (≥8), HADS-D (≥8), and PSS (≥14), respectively.

Results

A total of 101 patients comprising 39 (38.6%) males were recruited. Compared to nuclear families, we observed that patients living in joint families had significantly greater severity scores for fatigue [MFIS (p = 0.04)], anxiety [HADS-A (p = 0.004)], depression [HADS-D (p = 0.004)], and stress [PSS (p = 0.02)]. Based on the cut-off scores, we found that 44 (43.6%) patient had anxiety, 41 (40.6%) had depressive, and 72 (71.3%) had moderate to high stress symptoms, respectively. We also observed significantly greater fatigue and anxiety scores, that is, MFIS (p = 0.008) and HADS-A (p = 0.03) in those who received oxygen therapy compared to those who did not. The subjects who received corticosteroids were older (p = 0.01) and had significantly higher stress scores [PSS (p < 0.001)]. The study showed that patients who were assessed more than 3 months post-COVID-19 infection had higher fatigue and depression scores; however, the difference did not reach statistical significance (MFIS P = 0.058; HADS P = 0.059).

Conclusion

Our study confirms that COVID-19 infection can cause various adverse mental health issues. Mitigating the hazardous effects of COVID-19 pandemic on mental health should be a top priority for public health to prevent long-term complications.

On Analyzing Capnogram as a Novel Method for Screening COVID-19: A Review on Assessment Methods for COVID-19

In November 2019, the novel coronavirus disease COVID-19 was reported in Wuhan city, China, and was reported in other countries around the globe. COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Strategies such as contact tracing and a vaccination program have been imposed to keep COVID-19 under control. Furthermore, a fast, noninvasive and reliable testing device is needed urgently to detect COVID-19, so that contact can be isolated and ringfenced before the virus spreads. Although the reverse transcription polymerase chain reaction (RT-PCR) test is considered the gold standard method for the diagnosis of SARS-CoV-2 infection, this test presents some limitations which cause delays in detecting the disease. The antigen rapid test (ART) test, on the other hand, is faster and cheaper than PCR, but is less sensitive, and may limit SARS-CoV-2 detection. While other tests are being developed, accurate, noninvasive and easy-to-use testing tools are in high demand for the rapid and extensive diagnosis of the disease. Therefore, this paper reviews current diagnostic methods for COVID-19. Following this, we propose the use of expired carbon dioxide (CO2) as an early screening tool for SARS-CoV-2 infection. This system has already been developed and has been tested on asthmatic patients. It has been proven that expired CO2, also known as capnogram, can help differentiate between respiratory conditions and, therefore, could be used to detect SARS-CoV-2 infection, as it causes respiratory tract-related diseases.

A case series of children and young people admitted to a tertiary care hospital in Germany with COVID-19

Background

While our knowledge about COVID-19 in adults has rapidly increased, data on the course of disease and outcome in children with different comorbidities is still limited.

Methods

Prospective, observational study at a tertiary care children’s hospital in southern Germany. Clinical and virology data from all paediatric patients admitted with SARS-CoV-2 infection at our hospital were prospectively assessed.

Results

Between March and November 2020, 14 patients were admitted with COVID-19. One patient was admitted a second time with COVID-19 6 months after initial disease. Among seven patients with severe underlying comorbidities, three developed multisystem inflammatory syndrome (MIS-C), two were admitted to the paediatric intensive care unit. One patient needed invasive ventilation. Another patient died shortly after discharge of COVID-19-related complications.

Conclusions

While COVID-19 generally causes mild disease in children, severe respiratory illness and MIS-C occur, in some cases with fatal outcome. Children with underlying diseases might be at special risk for severe disease.