Retrospective study evaluating the cytokine dynamics in COVID-19 patients who were treated with casirivimab/imdevimab

Background. Neutralizing antibody therapy such as casirivimab/imdevimab is known to significantly reduce the viral load of SARS-CoV-2, but there is limited study on the clinical prognosis of neutralizing antibody therapy, especially in Asia, and the dynamics of cytokines is unknown worldwide. Several cytokines have been investigated as biomarkers to predict oxygen demand, among which CCL17 and INF3 have received approved and covered by the national health insurance in Japan. Methods. Between July 2021 - December 2021, patient's demographic, laboratory, radiological findings, prognosis, and cytokine kinetics (IFN-gamma3, CCL17) at National Center for Global Health and Medicine, Tokyo, Japan, were analyzed using medical charts and serum samples. Univariate analysis was performed using Fisher's exact probability test and Mann-Whitney U test to evaluate the clinical characteristics of the group with oxygen demand compared with those of the group without oxygen demand. Results. Thirty-four patients were analyzed. The median age of the cohort was 57.5 years (IQR 52.8-67.3), and 25 (73.5%) were male. Eight patients (23.5%) had been fully vaccinated and three patients (8.8%) had been vaccinated once. The severity of disease before casirivimab/imdevimab was asymptomatic in two (5.9%), mild in 12 (35.3%), moderate in 20 (58.8%) cases. Of the 17 cases in which mutant strains were identified, 16 were delta strains. The IFN-gamma3 level (pg/mL) before casirivimab/imdevimab was significantly higher (7.6 vs. 17.2, p = 0.005), while the CCL17 level (pg/mL) was significantly lower (148.8 vs. 64.2, p = 0.036) in the group with oxygen demand during the therapeutic course compared to those in the group without oxygen demand. After casirivimab/imdevimab was administered, the IFN-gamma3 level decreased to a median of 0.0 (IQR 0.0-0.3), while the CCL17 level increased to median of 220.3 (IQR 135.8-304.8), with no statistically significant differences between both groups (Figure 1). None of the patients became seriously ill. Figure 1A and 1B show the changing of the cytokine dynamics in COVID-19 patients who were treated with casirivimab/imdevimab on IFN-gamma3 level and CCL17 level, respectively. Conclusion. There was a statistically significant difference between IFN-gamma3 and CCL17 levels before casirivimab/imdevimab in both groups. Our results suggest that casirivimab/immudevimab may improve the clinical prognosis for COVID-19 patients with delta strains.

Post COVID-19 condition of the Omicron variant of SARS-CoV-2.

OBJECTIVES: To investigate the prevalence of post coronavirus disease (COVID-19) condition of the Omicron variant in comparison to other strains. STUDY DESIGN: A single-center cross-sectional study. METHODS: Patients who recovered from Omicron COVID-19 infection (Omicron group) were interviewed via telephone, and patients infected with other strains (control group) were surveyed via a self-reporting questionnaire. Data on patients' characteristics, information regarding the acute-phase COVID-19, as well as presence and duration of COVID-19-related symptoms were obtained. Post COVID-19 condition in this study was defined as a symptom that lasted for at least 2 months, within 3 months of COVID-19 onset. We investigated and compared the prevalence of post COVID-19 condition in both groups after performing propensity score matching. RESULTS: We conducted interviews for 53 out of 128 patients with Omicron and obtained 502 responses in the control group. After matching cases with controls, 18 patients from both groups had improved covariate balance of the factors: older adult, female sex, obesity, and vaccination status. There were no significant differences in the prevalence of each post COVID-19 condition between the two groups. The number of patients with at least one post COVID-19 condition in the Omicron and control groups were 1 (5.6%) and 10 (55.6%) (p = 0.003), respectively. CONCLUSIONS: The prevalence of post Omicron COVID-19 conditions was less than that of the other strains. Further research with a larger sample size is needed to investigate the precise epidemiology of post COVID-19 condition of Omicron, and its impact on health-related quality of life and social productivity.

HLA-A∗11:01:01:01, HLAC∗ 12:02:02:01∼HLA-B∗52:01:02:02, age and sex are associated with severity of Japanese COVID-19 with respiratory failure

Coronavirus disease 2019 (COVID-19) was announced as an outbreak by the World Health Organization (WHO) in January 2020 and as a pandemic in March 2020. The majority of infected individuals have experienced no or only mild symptoms, ranging from fully asymptomatic cases to mild pneumonic disease. However, a minority of infected individuals develop severe respiratory symptoms. The objective of this study was to identify susceptible HLA alleles and clinical markers that can be used in risk prediction models for the early identification of severe COVID-19 among hospitalized COVID-19 patients. A total of 137 patients with mild COVID-19 (mCOVID-19) and 53 patients with severe COVID-19 (sCOVID-19) were recruited from the Center Hospital of the National Center for Global Health and Medicine (NCGM), Tokyo, Japan for the period of February-August 2020. High-resolution sequencing-based typing for eight HLA genes was performed using next-generation sequencing. In the HLA association studies, HLA-A∗11:01:01:01 [Pc = 0.013, OR = 2.26 (1.27-3.91)] and HLA-C∗12:02:02:01∼HLAB∗ 52:01:01:02 [Pc = 0.020, OR = 2.25 (1.24-3.92)] were found to be significantly associated with the severity of COVID-19. After multivariate analysis controlling for other confounding factors and comorbidities, HLAA∗ 11:01:01:01 [P = 3.34E-03, OR = 3.41 (1.50-7.73)], age at diagnosis [P = 1.29E-02, OR= 1.04 (1.01-1.07)] and sex at birth [P = 8.88E-03, OR= 2.92 (1.31-6.54)] remained significant. The area under the curve of the risk prediction model utilizing HLA-A∗11:01:01:01, age at diagnosis, and sex at birth was 0.772, with sensitivity of 0.715 and specificity of 0.717. To the best of our knowledge, this is the first article which describes associations of HLA alleles with COVID-19 at the 4-field (highest) resolution level. Early identification of potential COVID-19 could help clinicians prioritize medical utility and significantly decrease mortality from COVID-19.