ABSTRACT
1BackgroundAnalyses in hospitalized patients and small autopsy series suggest that severe SARS-CoV-2 infection may affect the heart. We investigated heart tissue by in situ hybridization, immunohistochemistry and RNA sequencing in consecutive autopsy cases to quantify virus load and characterize cardiac involvement in COVID-19. MethodsLeft ventricular tissue from 95 deceased with diagnosed SARS-CoV-2 infection undergoing autopsy was analyzed and clinical data were collected. RNA was isolated to examine virus load of SARS- CoV-2 and its replication in the heart. A virus load >1000 copies per {micro}g RNA was defined as relevant. Viral RNA and inflammatory cells were assessed using histology. RNA sequencing and gene ontology (GO) enrichment were performed in 10 cases with high cardiac virus load and 10 age-matched cases without cardiac infection. ResultsA relevant SARS-CoV-2 virus load was detected in 41 out of 95 deceased (43%). The median cardiac virus load was 7952 copies per {micro}g RNA (IQR 2507, 32 005). In situ hybridization revealed SARS- CoV-2 RNA primarily in the interstitium or interstitial cells. Virus detection was not associated with increased inflammatory cells. Relevant cardiac infection was associated with increased expression of the entry factor TMPRSS2. Cardiac virus replication was found in 14/95 hearts (15%). Remarkably, cardiac virus replication was associated with shorter time between diagnosis and death. RNA sequencing revealed clear activation of immune response pathways to virus infection and destruction of cardiomyocytes. Hearts with high virus load showed activation of the GO term "extracellular exosomes". ConclusionSARS-CoV-2 infection including virus replication and distinct transcriptomic alterations without signs of myocarditis demonstrate a cardiac involvement. In this autopsy series, cardiac replication of SARS-CoV-2 was associated with early death.
Subject(s)
COVID-19ABSTRACT
Purpose: Identifying preventive strategies in Covid-19 patients helps to improve ICU-resource-allocation and reduce mortality. We recently demonstrated in a post-mortem cohort that SARS-CoV-2 renal tropism was associated with kidney injury, disease severity and mortality. We also proposed an algorithm to predict the need for ICU-resources and the risk of adverse outcomes in Covid-19 patients harnessing urinalysis and protein/coagulation parameters on admission for signs of kidney injury. Here, we aimed to validate this hypothesis in a multicenter cohort. Methods: Patients hospitalized for Covid-19 at four tertiary centers were screened for an available urinalysis, serum albumin (SA) and antithrombin-III activity (AT-III) obtained prospectively within 48h upon admission. The respective presumed risk for an unfavorable course was categorized as “low”, “intermediate” or “high”, depending on a normal urinalysis, an abnormal urinalysis with SA ≥2 g/dl and AT-III ≥70%, or an abnormal urinalysis with at least one SA or AT-III abnormality. Time to ICU or death within ten days served as primary, in-hospital mortality and required organ support served as secondary endpoints.Results: Among a total of N=223 screened patients, N=145 were eligible for enrollment, falling into the low (N=43), intermediate (N=84), and high risk (N=18) categories. The risk for ICU transfer or death was 100% in the high risk group and significantly elevated in the composite of high and intermediate risk as compared to the low risk group (63.7% vs. 27.9%; HR 2.6; 95%-CI 1.4 to 4.9; P=0.0020). Having an abnormal urinalysis was associated with mortality, need for mechanical ventilation, extra-corporeal membrane oxygenation (ECMO) or renal replacement therapy (RRT). Conclusion: Our data confirm that Covid-19-associated urine abnormalities on admission predict disease aggravation and need for ICU. By engaging a simple urine dipstick on hospital admission our algorithm allows for early preventive measures and appropriate patient stratification. (ClinicalTrials.gov number NCT04347824)