The clinical spectrum of COVID‐19 in heart transplant recipients has not been fully defined, because asymptomatic and sub‐clinical cases are difficult to capture. Seroprevalence surveys are an important tool to identify not just cases that have come to clinical attention, but all previously infected recipients. We performed a seroprevalence survey of the adult heart transplant program at a large New York City Hospital System. A total of 232 (87% of recipients being followed) subjects were tested, of whom 37 (15.9%) were found to be previously infected. This is comparable to the overall rate of prior infection in the NYC metro area. Disease course tended to be more severe than in the general population; however, this was at least partially driven by traditional risk factors of age and comorbidities. Lastly, 9 of 10 recipients who were initially found to be PCR positive subsequently tested positive for antibodies, confirming the ability of this population to mount a humoral response. In conclusion, prevalence of COVID‐19 in heart transplant recipients on immunosuppression was comparable to that in the general population of NYC, and 90% of those with an initially positive viral swab developed antibodies. In those who are infected, disease course tends to be more severe.

Background The novel coronavirus disease 2019 outbreak presents a significant threat to global health. A better understanding of patient clinical profiles is essential to drive efficient and timely health service strategies. In this study, we aimed to identify risk factors for a higher susceptibility to symptomatic presentation with COVID-19 and a transition to severe disease. Methods We analysed data on 2756 patients admitted to Chelsea & Westminster Hospital NHS Foundation Trust between 1 st January and 23rd April 2020. We compared differences in characteristics between patients designated positive for COVID-19 and patients designated negative on hospitalisation and derived a multivariable logistic regression model to identify risk factors for predicting risk of symptomatic COVID-19. For patients with COVID-19, we used univariable and multivariable logistic regression to identify risk factors associated with progression to severe disease defined by: 1) admission to the hospital's AICU, 2) the need for mechanical ventilation, 3) in-hospital mortality, and 4) at least one measurement of elevated Ddimer (≥1,000 μg/L) indicative of increased risk of venous thromboembolism. Results The patient population consisted of 1148 COVID-19 positive and 1608 COVID-19 negative patients. Age, sex, self-reported ethnicity, C-reactive protein, white blood cell count, respiratory rate, body temperature, and systolic blood pressure formed the most parsimonious model for predicting risk of symptomatic COVID-19 at hospital admission. Among 1148 patients with COVID-19, 116 (10.1%) were admitted to the AICU, 71 (6.2%) required mechanical ventilation, 368 (32.1%) had at least one record of D-dimer levels ≥1,000 μg/L, and 118 patients died. In the multivariable logistic regression, age (OR = 0.953 per 1 year, 95% CI: 0.937-0.968) C-reactive protein (OR = 1.004 per 1 mg/L, 95% CI: 1.002-1.007), and white blood cell counts (OR = 1.059 per 10 9 /L, 95% CI: 1.010-1.111) were found to be associated with admission to the AICU. Age (OR = 0.973 per 1 year, 95% CI: 0.955-0.990), C-reactive protein (OR = 1.003 per 1 mg/L, 95% CI: 1.000-1.006) and sodium (OR = 0.915 per 1 mmol/L, 0.868-0.962) were associated with mechanical ventilation. Age (OR = 1.023 per 1 year, 95% CI: 1.004-1.043), CRP (OR = 1.004 per 1 mg/L, 95% CI: 1.002-1.006), and body temperature (OR = 0.723 per 1 o C, 95% CI: 0.541-0.958) were associated with elevated D-dimer. For mortality, we observed associations with age (OR = 1.060 per 1 year, 95% CI: 1.040-1.082), female sex (OR = 0.442, 95% CI: 0.442, 95% CI: 0.245-0.777), Asian ethnic background (OR All rights reserved. No reuse allowed without permission. : medRxiv preprint = 2.237 vs White ethnic background, 95% CI: 1.111-4.510), C-reactive protein (OR = 1.004 per 1 mg/L, 95% CI: 1.001-1.006), sodium (OR = 1.038 per 1 mmol/L, 95% CI: 1.001-1.006), and respiratory rate (OR = 1.054 per 1 breath/min, 95% CI: 1.024-1.087). Conclusion Our analysis suggests there are several demographic, clinical and laboratory findings associated ...

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