Outcomes of COVID-19 in hospitalized solid organ transplant recipients compared to a matched cohort of non-transplant patients at a national healthcare system in the United States.
Arielle M FisherDaniel SchlauchMatthew MulloyAnn D KatariaAshraf I ReyadMick CorrellGregg J FromellJames PittmanAdam W BingamanBalamurugan SankarapandianSridhar R AllamPublished in: Clinical transplantation (2021)
Data describing outcomes of solid organ transplant (SOT) recipients with coronavirus disease 2019 (COVID-19) are variable, and the association between SOT status and mortality remains unclear. In this study, we compare clinical outcomes of SOT recipients hospitalized with COVID-19 between March 10, and September 1, 2020, to a matched cohort of non-SOT recipients at a national healthcare system in the United States (US). From a population of 43 461 hospitalized COVID-19-positive patients, we created a coarsened exact matched cohort of 4035 patients including 128 SOT recipients and 3907 weighted matched non-SOT controls. Multiple logistic regression was used to evaluate association between SOT status and clinical outcomes. Among the 4035 patients, median age was 60 years, 61.7% were male, 21.9% were Black/African American, and 50.8% identified as Hispanic/Latino ethnicity. Patients with a history of SOT were more likely to die within the study period when compared to matched non-SOT recipients (21.9% and 14.9%, respectively; odds ratio [OR] 1.93; 95% confidence interval [CI]: 1.18-3.15). Moreover, SOT status was associated with increased odds of receiving invasive mechanical ventilation (OR [95% CI]: 2.34 [1.51-3.65]), developing acute kidney injury (OR [95% CI]: 2.41 [1.59-3.65]), and receiving vasopressor support during hospitalization (OR [95% CI]: 2.14 [1.31-3.48]).
Keyphrases
- coronavirus disease
- end stage renal disease
- sars cov
- african american
- acute kidney injury
- ejection fraction
- newly diagnosed
- chronic kidney disease
- mechanical ventilation
- peritoneal dialysis
- type diabetes
- magnetic resonance
- magnetic resonance imaging
- cardiovascular disease
- computed tomography
- patient reported outcomes
- metabolic syndrome
- artificial intelligence
- molecular dynamics
- cardiac surgery
- risk factors
- weight loss
- big data
- adipose tissue
- cardiovascular events
- data analysis
- patient reported
- density functional theory