Acute kidney injury in COVID-19: are kidneys the target or just collateral damage? A comprehensive assessment of viral RNA and AKI rate in patients with COVID-19.

PURPOSE OF REVIEW: To investigate the possible effects of severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) on kidney function and assess the rate of viral ribonucleic acid (RNA) shedding/detection in urine. RECENT FINDINGS: Most of the research on the topic suggests that for the moment our ability to estimate whether SARS-CoV-2 is a direct causative agent in acute kidney injury (AKI) or whether it has a cytokine storm effect is limited. During our prospective assessment of 333 patients with COronaVIrus Disease 2019 (COVID-19) it was found that frequency of AKI of 9.6% (32 cases). Despite previous data suggestive of the ability to detect SARS-CoV-2 in urine, we were unable to identify any traces of messenger ribonucleic acid (mRNA) in our group. Both COVID-19 severity (odds ratio, OR = 23.09, confidence interval, CI 7.89-67.57, P < 0.001) and chronic kidney disease (CKD) history (OR = 7.17, CI 2.09-24.47, P = 0.002) were associated with the AKI rate. SUMMARY: AKI is a relatively frequent condition for patients with COVID-19 and is normally correlated with the severity of the disease and the patient's history of CKD. The available data fail to address whether SARS-CoV-2 mRNA is present in urine, whereas our prospective trial data suggest that mRNA is undetectable in urine irrespective of the severity of the disease.

Chronic biopsy proven post-COVID myoendocarditis with SARS-Cov-2 persistence and high level of antiheart antibodies.

PURPOSE: To study the clinical signs and mechanisms (viral and autoimmune) of myoendocarditis in the long-term period after COronaVIrus Disease 2019 (COVID-19). METHODS: Fourteen patients (nine male, 50.1 ± 10.2 y.o.) with biopsy proven post-COVID myocarditis were observed. The diagnosis of COVID-19 was confirmed by IgG seroconversion. The average time of admission after COVID-19 was 5.5 [2; 10] months. An endomyocardial biopsy (EMB) of the right ventricle was obtained. The biopsy analysis included polymerase chain reaction diagnosis of viral infection, morphological, immunohistochemical (IHC) examination with antibodies to CD3, CD45, CD68, CD20, SARS-Cov-2 spike, and nucleocapsid antigens. Coronary atherosclerosis was ruled out in all patients over 40 years. RESULTS: The new cardiac symptoms (congestive heart failure 3-4 New York Heart Association class with severe right ventricular involvement, various rhythm, and conduction disturbances) appeared 1-5 months following COVID-19. Magnetic resonance imaging showed disseminated or focal subepicardial and intramyocardial late gadolinium enhancement, hyperemia, edema, and increased myocardial native T1 relaxation time. Antiheart antibodies levels were increased 3-4 times in 92.9% of patients. The mean left ventricular (LV) ejection fraction (EF) was 28% (24.5; 37.8). Active lymphocytic myocarditis was diagnosed in 12 patients, eosinophilic myocarditis in two patients. SARS-Cov-2 RNA was detected in 12 cases (85.7%), in association with parvovirus B19 DNA-in one. Three patients had also endocarditis (infective and nonbacterial, with parietal thrombosis). As a result of steroid and chronic heart failure therapy, the EF increased to 47% (37.5; 52.5). CONCLUSIONS: COVID-19 can lead to long-term severe post-COVID myoendocarditis, that is characterized by prolonged persistence of coronavirus in cardiomyocytes, endothelium, and macrophages (up to 18 months) in combination with high immune activity. Corticosteroids and anticoagulants should be considered as a treatment option of post-COVID myoendocarditis.

Effect of CES1 and ABCB1 genotypes on the pharmacokinetics and clinical outcomes of dabigatran etexilate in patients with atrial fibrillation and chronic kidney disease.

Background Despite the well-studied safety profile of dabigatran, its interactions with genetic polymorphism parameters are poorly understood, especially in patients with moderate chronic kidney disease (CKD). The study assessed whether genetic factors can contribute to CKD and alter dabigatran concentration. Methods Patients with atrial fibrillation (AF) and stage 3 CKD treated with dabigatran 110 or 150 mg have been included in the study. Real-time polymerase chain reaction was used to evaluate single-nucleotide polymorphisms of the ABCB1 gene (rs1045642 and rs4148738) and CES1 gene (rs2244613). A plasma trough concentration/dose (C/D) ratio was used as a pharmacokinetic index. Results A total of 96 patients aged 51-89 years (median age: 75 years) were evaluated. Patients on a reduced regimen of 110 mg twice a day were older (79.8 vs. 67.9, p < 0.0001) and had lower creatinine clearance (49.7 vs. 62.3 mL/min/1.73 m2, p = 0.015). Patients with the rs2244613 CC genotype had lower C/D values (70% reduction in the mean C/D vs. AA genotype, p = 0.001). Linear stepwise regression has shown the CKD epidemiology collaboration to be the only significant predictor of C/D among genetic factors and kidney function characteristics. During the median follow-up of 15 months, there were 15 bleedings in 13 patients. Conclusions Polymorphism of CES1 rs2244613 can contribute to the safety of dabigatran in patients with AF and CKD. There was no influence of the aforementioned polymorphisms of ABCB1 on dabigatran trough plasma concentrations and C/D. Kidney function is a mainstay of clinical decision-making on direct oral anticoagulant (DOAC) dose, and further knowledge should be accumulated on the role of genetic factors.

Factors Affecting Trough Plasma Dabigatran Concentrations in Patients with Atrial Fibrillation and Chronic Kidney Disease.

INTRODUCTION: Dabigatran is effective and widely used to prevent ischemic stroke and systemic embolism (SE) in patients with atrial fibrillation (AF). Chronic kidney disease (CKD) also has implications for choice of any medications, as it alters pharmacokinetic parameters of drugs. AIM: To evaluate trough plasma dabigatran concentration (DTPC) and to analyse potential factors affecting these values in patients with AF and CKD. METHODS: Patients with AF and stage 3 CKD were treated with dabigatran 110 mg or 150 mg have been included in the study and allocated into D110 or D150 group. DTPC was evaluated with high-performance liquid chromatography. A plasma trough concentration/dose (C/D) ratio was used as a pharmacokinetic index. Factors affecting the DTPC were investigated. RESULTS: A total of 60 patients, aged 51-89 years, were evaluated. Compared with patients given 150 mg twice a day, those given 110 mg twice a day were older (79 vs 67.5, p < 0.0001) and had lower creatinine clearance (CrCl) (50.5 vs 60.5 mL/min/1.73 m2, p = 0.015). During the median follow up of 9.5 months there were 11 bleedings in 9 patients. The C/D ratio was higher in patients aged > 75 years (p = 0.024) and was also affected by CrCl (CrCl < 50 mL/min, p = 0.02). Individuals with CKD 3B had higher concentration of dabigatran were compared with those with 3A stage (488.7 vs 332 pg/ml: mg/day, p = 0.02). However, there was also negative correlation between C/D and CrCl (r = - 0.4, p = 0.0015). Co-prescribed medications did not influence DTPC. In addition, patients with bleeding events were additionally evaluated for C/D and no significant differences were found. CONCLUSION: Patients on dabigatran treatment showed highly variable trough plasma concentrations. C/D values were significantly higher in patients with CKD 3B stage and were influenced by elder age and comorbidities.

Diagnostic Value of Combinatorial Markers in Colorectal Carcinoma.

Objectives: Blood-based tests have been shown to be an effective strategy for colorectal cancer (CRC) detection in screening programs. This study was aimed to test the performance of 20 blood markers including tumor antigens, inflammatory markers, and apolipoproteins as well as their combinations. Methods: In total 203 healthy volunteers and 102 patients with CRC were enrolled into the study. Differences between healthy and cancer subjects were evaluated using Wilcoxon rank-sum test. Several multivariate classification algorithms were employed using information about different combinations of biomarkers altered in CRC patients as well as age and gender of the subjects; random sub-sampling cross-validation was done to overcome overfitting problem. Diagnostic performance of single biomarkers and multivariate classification models was evaluated by receiver operating characteristic (ROC) analysis. Results: Of 20 biomarkers, 16 were significantly different between the groups (p-value ≤ 0.001); ApoA1, ApoA2 and ApoA4 levels were decreased, whereas levels of tumor antigens (e.g. carcinoembriogenic antigen) and inflammatory markers (e.g., C-reactive protein) were increased in CRC patients vs. healthy subjects. Combinatorial markers including information about all 16 significant analytes, age and gender of patients, demonstrated better performance over single biomarkers with average accuracy on test datasets ≥95% and area under ROC curve (AUROC) ≥98%. Conclusions: Combinatorial approach was shown to be a valid strategy to improve performance of blood-based CRC diagnostics. Further evaluation of the proposed models in screening programs will be performed to gain a better understanding of their diagnostic value.