ABSTRACT
Introduction: The CoLab-score was originally developed and validated to rule out COVID-19 in suspected patients presenting in the emergency department [1, 2]. The CoLab-score includes the patient's age and ten blood parameters, reflecting the host response to SARSCoV-2 infection. Here, we investigated the CoLab-score over time in mechanically ventilated COVID-19 patients at the ICU. We hypothesized that the CoLab-score will decrease over time, independent of survival, disease severity and pandemic periods. This would create the opportunity to monitor COVID-19 patients and potentially ruling out the need for isolation when the host response decreases and the infection is overcome. Method(s): We used serial data of the Maastricht Intensive Care Covid (MaastrICCht) cohort of mechanically ventilated COVID-19 patients to investigate the association between time and daily CoLab-score using linear-mixed models. Crude models were adjusted for sex, APACHE II score, SOFA score, and stratified for intensive care mortality. Result(s): 324 patients (73% men), aged 64 +/- 12 years with 5959 daily CoLab-scores, were included. CoLab-score decreased with 0.31 points per day (95% CI -0.33 to -0.28). Adjustment for sex, APACHE II and stratification for mortality did not change this result. Conclusion(s): The CoLab-score decreased over time in mechanically ventilated ICU COVID-19 patients, with a point reduction per three days. This suggests that the CoLab-score eventually decreases to a normal state, reflecting a host response that has overcome infection. Future investigation is warranted to assess whether the need for isolation can be ruled out based on the CoLab-score.
ABSTRACT
BACKGROUND: Comparative data collection in transborder areas can contribute to informed decision making processes when dealing with borderless health threats such as pandemics, and thus help minimize the negative health effects for its citizens. To examine the pandemic response over time and the impact of infectious disease control in a cross-border setting, a prospective longitudinal study was conducted in the border area between Germany, Belgium and the Netherlands. In the spring of 2021, a random sample of 26,925 adult citizens selected from governmental registries was invited to collect a blood sample at home for SARS-CoV-2 antibody testing and to fill in an online questionnaire on attitudes and behaviour towards infection prevention measures, cross-border mobility, social network and support, COVID-19 self-reported infection(s) and symptoms, vaccination, general self-reported health and socio-demographics. In autumn 2021, participants were invited for a follow-up round. An online tool was developed to coordinate fieldwork procedures, real-time monitoring of participation and consultation of antibody test results. Furthermore, a helpdesk in all three languages for participants' support was set up. RESULTS: In the first round, 6,006 citizens in the Meuse-Rhine Euroregion participated. 15.3% of the invited citizens on the Belgian side of the border participated. In the Netherlands and Germany this was respectively 27% and 23.7%. In the follow-up round 4,286 (71.4%) citizens participated for the second time. The participation rate was highest in the age group 50-69 years and lowest in > 80 in all sub regions of the Meuse-Rhine Euroregion. More women participated than men. Overall, more blood samples were returned than completed questionnaires. In total, 3,344 citizens in the Meuse-Rhine Euroregion completed all components of participation in both rounds. CONCLUSIONS: The collection of comparative data can help better assess the pandemic response and the impact of infectious disease control in a cross-border area. Recommendations for a longitudinal cross-border study include a centralized online environment, mapping out potential challenges related to national regulations in the preparation phase and organizing regional coordination centres to create more familiarity and trust towards the involved organisations.
ABSTRACT
Introduction: There is a need for detailed data on early antibody responses against SARS-CoV-2 as this may contribute to the prediction of the clinical course of COVID-19 and the optimization of convalescent plasma treatment. This study aims to gain insight into developing antibodies to SARS-CoV-2 in health care workers (HCWs) infected in the first wave of the SARS-CoV-2 pandemic in the Netherlands. Materials and methods: In this retrospective analysis, sera from PCR-confirmed COVID-19 positive HCWs are included at the time of the initial PCR (T = 0, n = 95) and at least 21 days after the initial serum (T ≥ 21, n = 133). This study assesses correlations between qualitative total Ig, IgM, IgA, IgG, and quantitative anti-S-RBD antibody responses and participant characteristics. Results: Higher Ct values were associated with higher antibody positivity rates for total Ig (OR 1.261 (95% CI 1.095-1.452)), IgM (OR 1.373 (95% CI 1.125-1.675)), and IgA (OR 1.222 (95% CI 1.013-1.475)). Gender was predictive of IgM and IgA antibody positivity rates at T = 0 (OR 0.018 (95% CI 0.001-0.268)) and (OR 0.070 (95% CI 0.008-0.646)). At T ≥ 21, a substantial proportion of HCWs developed IgM (103/133; 77.4%) and total Ig (128/133; 96.2%) antibodies. IgA and IgG seroconversions were observed in only 51.1% (67/131) and 55.7% (73/131) of HCWs. Anti-S-RBD responses were higher when the interval between onset of symptoms and sampling was longer. Conclusion: The findings of this study give insight into early antibody responses and may have implications for the selection of convalescent plasma donors and the further development of monoclonal antibody treatment.