Antibody Response and Molecular Graft Surveillance in Kidney Transplant Recipients Following Sars-CoV-2 Vaccination

Purpose: Preliminary studies suggest that kidney transplant recipients (KTRs) show diminished humoral responses to SARS-CoV-2 vaccination. Although reports of allograft rejection after SARS-CoV-2 vaccination have been rare, there is no recommended framework for monitoring for potential vaccine-related allograft injury. Here, we describe an approach for longitudinal assessment of immunogenicity and safety of SARS-COV-2 vaccination in KTRs. Method(s): KTRs eligible for SARS-CoV-2 vaccination were identified through medical records, beginning March 12, 2021. Baseline and weekly blood samples were collected for SARS-CoV-2 spike protein antibody titers, dd-cfDNA and gene expression profiling (GEP) for 12 weeks. Donor specific antibody (DSA) testing was performed at baseline, 2 weeks after completion of vaccine doses and at week 12. Antibody response was defined as a 10-fold increase in total binding IgG titers. Result(s): 49 KTRs were identified for analysis. Patient demographics are shown in Table 1. Ten patients (20.4%) demonstrated a spike antibody response post- vaccination. Of responders, 80% (n=8) had a history of COVID-19. The odds ratio for the association of a history of COVID-19 with vaccine response was 18.3 (95% CI 3.2, 105.0, p=0.0005). Median dd-cfDNA levels did not differ between pre- and postvaccination (0.23% versus 0.21% respectively). There was no significant difference between pre- and post-vaccination GEP scores (9.85 versus 10.4 respectively). No patients developed clinically significant DSA, eGFR decline or allograft rejection following vaccination. Conclusion(s): Quantitative antibody responses were strongly associated with a diagnosis of prior SARS-CoV-2 infection. Stability of eGFR, dd-cfDNA, GEP profiles and lack of allosensitization reinforce the safety profile of SARS-CoV-2 vaccination in KTRs. Further studies are needed to better understand immunogenicity in SARSCoV- 2 naive individuals, including whether cellular responses are protective in the absence of humoral responses.

Antibody Response and Cellular Phenotyping in Kidney Transplant Recipients Following Sars-CoV-2 Vaccination

Purpose: Correlates of protection for SARS-CoV-2 vaccines are not well-established in kidney transplant recipients(KTRs). Studies have highlighted the importance of neutralizing antibodies(Abs), however data suggests T cell responses may play a secondary role in preventing reinfection. We performed a longitudinal assessment of immunogenicity, T and B cell response in KTRs following SARS-CoV-2 vaccination. Method(s): KTRs eligible for SARS-CoV-2 vaccination from 3/12/21 were enrolled. Baseline and weekly blood samples were collected for routine lab, SARS-CoV-2 spike protein Ab titers and cellular phenotyping for 12 weeks. Ab response was defined as a 10-fold increase in total binding IgG titers. To determine if T cell responses were induced by vaccination, we considered the proportion of activated non-naive CD4+ and CD8+ T cells post-vaccination. Result(s): 49 KTRs were enrolled ( Demographics -Table 1). 10 patients (20.4%) mounted an Ab response following vaccination. A history of COVID-19 was associated with an increased likelihood of developing an Ab response (OR: 18.3, 95% CI 3.2, 105.0, p=0.0005). For non-naive CD8+ T cells, a subset co-expressing CD38+Ki67+ was induced 1 week after the 1st immunization in some SARS-CoV- 2-naiive patients (P=0.12 versus P=0.14 for SARS-CoV-2-experienced adults, Fig 1A/B). For non-naive CD4+ T cells, induction of a subset co-expressing CD38+Ki67+ was observed at 1 week after the 1st immunization for SARS-CoV-2-naive participants (P = 0.09 for SARS-CoV-2-naive, P=0.03 for SARS-CoV-2-experienced adults, Fig 1C/D). For CD8+ and CD4+ T cells, dose 2 stimulated weak induction of the CD38+Ki67+ subset in the SARS-CoV-2-naive patients only (Fig 1A-D). Conclusion(s): Quantitative Ab responses were strongly associated with prior SARS-CoV-2 infection. Activated CD4+ and CD8+ T cell responses were evident in most patients irrespective of history of COVID-19. Further studies are needed to determine whether these activated CD4+ and CD8+ T cell responses were antigenspecific or confer immunity. (Table Presented).

Association between overcrowded households, multigenerational households, and COVID-19: a cohort study.

OBJECTIVES: The role of overcrowded and multigenerational households as a risk factor for COVID-19 remains unmeasured. The objective of this study is to examine and quantify the association between overcrowded and multigenerational households and COVID-19 in New York City (NYC). STUDY DESIGN: Cohort study. METHODS: We conducted a Bayesian ecological time series analysis at the ZIP Code Tabulation Area (ZCTA) level in NYC to assess whether ZCTAs with higher proportions of overcrowded (defined as the proportion of the estimated number of housing units with more than one occupant per room) and multigenerational households (defined as the estimated percentage of residences occupied by a grandparent and a grandchild less than 18 years of age) were independently associated with higher suspected COVID-19 case rates (from NYC Department of Health Syndromic Surveillance data for March 1 to 30, 2020). Our main measure was an adjusted incidence rate ratio (IRR) of suspected COVID-19 cases per 10,000 population. Our final model controlled for ZCTA-level sociodemographic factors (median income, poverty status, White race, essential workers), the prevalence of clinical conditions related to COVID-19 severity (obesity, hypertension, coronary heart disease, diabetes, asthma, smoking status, and chronic obstructive pulmonary disease), and spatial clustering. RESULTS: 39,923 suspected COVID-19 cases were presented to emergency departments across 173 ZCTAs in NYC. Adjusted COVID-19 case rates increased by 67% (IRR 1.67, 95% CI = 1.12, 2.52) in ZCTAs in quartile four (versus one) for percent overcrowdedness and increased by 77% (IRR 1.77, 95% CI = 1.11, 2.79) in quartile four (versus one) for percent living in multigenerational housing. Interaction between both exposures was not significant (ßinteraction = 0.99, 95% CI: 0.99-1.00). CONCLUSIONS: Overcrowdedness and multigenerational housing are independent risk factors for suspected COVID-19. In the early phase of the surge in COVID cases, social distancing measures that increase house-bound populations may inadvertently but temporarily increase SARS-CoV-2 transmission risk and COVID-19 disease in these populations.

Percutaneous dilational tracheostomy during the COVID-19 pandemic in New York City

INTRODUCTION: The COVID-19 pandemic overwhelmed New York City hospitals. Shortages of ventilators and sedatives prompted tracheostomy earlier than recommended by professional societies. The objective of this study was to determine the impact of percutaneous dilational tracheostomy (PDT) in COVID-19 patients on critical care capacity. METHODS: This is a single-institution prospective case series of SARS-CoV-2 infected patients undergoing PDT from April 1-June 4, 2020 with follow-up through June 25, 2020 at a public tertiary care center. Clinical data were obtained through medical record review. Mechanically ventilated COVID-19 patients were screened for intervention based on the following criteria: ≥ 6 days of intubation with further need for mechanical ventilation, a fractional inspired oxygen concentration of ≤ 60%, positive end expiratory pressure ≤12, no significant organ dysfunction except acute kidney injury, and minimal pressor requirements. The main outcomes measured were change in 48-hour periprocedural sedative/analgesia requirements, liberation from the ventilator, rate of transfer from the ICU, decannulation, PDT-related complications, and in-hospital survival. RESULTS: Fifty-five patients met PDT criteria and underwent PDT a median of 13 days from intubation. Patient characteristics are found in Table 1. Intravenous midazolam equivalents, fentanyl equivalents and cisatracurium equivalents were significantly reduced post- PDT (Table 2). Thirty-five patients were transferred from the ICU and liberated from the ventilator. Median time from PDT to ventilator liberation and ICU discharge was 10 and 12 days respectively. Decannulation occurred in 45.5% and 52.7% were discharged from acute inpatient care. Median follow-up for the study was 62 days. Four patients had bleeding complications postoperatively and 11 died during the study period. Older age was associated with increased odds of complication (OR 1.12, 95% CI 1.04, 1.23) and death (OR=1.15, 95% CI 1.05, 1.30). CONCLUSIONS: Mechanically ventilated COVID-19 patients undergoing PDT using standard criteria improves ventilator and medication utilization in areas strained by the SARS-CoV-2 pandemic. Long term outcomes after PDT in this population deserve further study.

Quality improvement tool for rapid identification of risk factors for SARS-CoV-2 infection among healthcare workers.

The rapid growth of the coronavirus disease 2019 (COVID-19) pandemic, limited availability of personal protective equipment, and uncertainties regarding transmission modes of severe acute respiratory syndrome coronavirus-2 have heightened concerns for the safety of healthcare workers (HCWs). Systematic studies of occupational risks for COVID-19 in the context of community risks are difficult and have only recently started to be reported. Ongoing quality improvement studies in various locales and within many affected healthcare institutions are needed. A template design for small-scale quality improvement surveys is proposed. Such surveys have the potential for rapid implementation and completion, are cost-effective, impose little administrative or workforce burden, can reveal occupational risks while taking community risks into account, and can be repeated easily with short time intervals between repetitions. This article describes a template design and proposes a survey instrument that is easily modifiable to fit the particular needs of various healthcare institutions in the hope of beginning a collaborative effort to refine the design and instrument. These methods, along with data management and analytic techniques, can be widely useful and shared globally. The authors' goal is to facilitate quality improvement surveys aimed at reducing the risk of occupational infection of HCWs during the COVID-19 pandemic.