BackgroundAcute kidney injury (AKI) is a complication of coronavirus disease 2019 (COVID-19) that is associated with high mortality. Despite documented kidney tropism of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), there are no consistent reports of viral detection in urine or correlation with AKI or COVID-19 severity. Here we hypothesize that quantification of SARS-CoV-2 viral load in urine sediment from COVID-19 patients correlates with occurrence of AKI and mortality. MethodsSARS-CoV-2 viral load in urine sediments (U-viral load) was quantified by qRT-PCR in 52 patients with PCR-confirmed COVID-19 diagnosis, hospitalized between March 15th and June 8th, 2020. Immunolabeling of SARS-CoV-2 proteins Spike and Nucleocapsid was performed in two COVID-19 kidney biopsies and urine sediments. Viral infectivity assays were performed from 32 urine sediments. ResultsTwenty COVID-19 patients (39%) had detectable SARS-CoV-2 U-viral load, of which 17 (85%) developed AKI with an average U-viral load 4-times higher than non-AKI COVID-19 patients. U-viral load was highest (7.7-fold) within two weeks after AKI diagnosis. A higher U-viral load correlated with mortality but not with albuminuria or AKI stage. SARS-CoV-2 proteins partially colocalized with the viral receptor ACE2 in kidney biopsies in tubules and parietal cells, and in urine sediment cells. Infective SARS-CoV-2 was not detected in urine sediments. ConclusionOur results further support SARS-CoV-2 kidney tropism. A higher SARS-CoV-2 viral load in urine sediments from COVID-19 patients correlated with increased incidence of AKI and mortality. Urinary viral detection could inform medical care of COVID-19 patients with kidney injury to improve prognosis.
Background: COVID-19 disease has spread globally and was declared a pandemic on March 11, 2020, by the World Health Organization. On March 10, the State of Michigan confirmed its first 2 cases of COVID-19, and the number of confirmed cases has reached 47,182 as of May 11, 2020, with 4555 deaths. Setting: Currently, little is known if patients living with HIV (PLWH) are at a higher risk of severe COVID-19 or if their antiretrovirals are protective. This study presents epidemiologic and clinical features of COVID-19 infected PLWH in Detroit, Michigan. Methods: This is a case series that included 14 PLWH with laboratory-confirmed COVID-19 infection who were evaluated at Henry Ford Hospital in Detroit, Michigan, between March 20, 2020, and April 30, 2020. Results: Fourteen PLWH were diagnosed with COVID-19. Twelve patients were men and 2 were women; 13 patients were virally suppressed. Eight patients were hospitalized, and 6 patients were told to self-quarantine at home after their diagnoses. Three patients who were admitted expired during their hospital stay. No patient required bilevel positive airway pressure or nebulizer use in the emergency department, and none developed acute respiratory distress syndrome, pulmonary embolism, deep venous thrombosis, or a cytokine storm while on therapy for COVID-19. Conclusion: Although the clinical spectrum of COVID-19 among PLWH cannot be fully ascertained by this report, it adds to the data that suggest that HIV-positive patients with SARS-CoV-2 infection are not at a greater risk of severe disease or death as compared to HIV-negative patients.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.