Case 29-2020: A 66-Year-Old Man with Fever and Shortness of Breath after Liver Transplantation

What Is New in Prophylaxis and Treatment of COVID-19 in Renal Transplant Patients? A Report from an ESOT Meeting on the Topic

I should highlight that this manuscript is not a formal review on the topic, but a report from an ESOT meeting held on 22 June 2022. The assumption of immunosuppressants exposes kidney transplant recipients to the risk of infections, including COVID-19 infection. A transplant patient having COVID-19 infection raises several questions, including whether the immunosuppressive therapy should be reduced with the consequent risk of favoring acute rejections. Patient vaccination before transplantation is probably the gold standard to avoid the risk of COVID-19 infection after transplantation. In the case of transplant patients, three measures may be undertaken: vaccination, use of monoclonal antibodies and use of therapeutic antiviral small molecules. Concerning vaccination, it is still debated which one is the best and how many doses should be administered, particularly considering the new variants of the virus. The onset of virus variants has stimulated researchers to find new active vaccines. In addition, not all transplant patients develop antibodies. An alternative prophylactic measure to be principally used for patients that do not develop antibodies after vaccination is the use of monoclonal antibodies. These drugs may be administered as prophylaxis or in the early stage of the disease. Finally, the small antiviral molecules may be used again as prophylaxis or treatment. Their major drawbacks are their interference with immunosuppressive drugs and the fact that some of them cannot be administered to patients with low eGFR.

Comparing immunoassays for SARS-Coronavirus-2 antibody detection in patients with and without laboratory-confirmed SARS-Coronavirus-2 infection

Background. Commercially available SARS-CoV-2-directed antibody assays may assist in diagnosing past exposure to SARS-CoV-2 antigens. Methods. We cross-compared eight immunoassays detecting antibodies against SARS-CoV-2 nucleocapsid(N)- or spike(S)-antigens in three cohorts consisting of 859 samples from 622 patients: (#1)EDI™-Novel-Coronavirus-COVID19, Epitope; (#2)RecomWell-SARS-CoV-2, Mikrogen; (#3)COVID19-ELISA, VirCell; (#4)Elecsys-Anti-SARS-CoV-2-N, Roche; (#5)LIAISON®-SARS-CoV-2-S1/S2, Diasorin; (#6)Anti-SARS-CoV-2-ELISA, EuroImmun; (#7)Elecsys-Anti-SARS-CoV-2-S, Roche; and (#8)LIAISON®-SARS-CoV-2-TrimericS, Diasorin. Results. In cross-sectional Cohort-1 (68 sera from 38 patients with documented SARS-CoV-2 infection), agreement between assays #1 to #6 ranged from 75% to 93%, whereby discordance mostly resulted from N-based assays #1 to #4. In cross-sectional Cohort-2 (510 sera from 510 patients; 56 documented, 454 unknown SARS-CoV-2 infection), assays #4 to #6 were analyzed further together with #7 and #8 revealing 94% concordance (44 [9%] positives and 485 [85%] negatives). Discordance was highest within 2 weeks after SARS-CoV-2/CoVID19 diagnosis and confirmed in the longitudinal Cohort-3 (281 sera from 74 CoVID19 patients), using assays #4, #6, #7 and #8. Sub-analysis of 20 (27%) initially seronegative Cohort-3 patients revealed assay-dependent 50% and 90% seroconversion rates after 8-11 days and 14-18 days, respectively. Increasing SARS-CoV-2 antibodies were significantly associated with declining levels of viral loads, lactate dehydrogenase, interleukin-6 and C-reactive protein and preceded clearance of SARS-CoV-2 detection in the upper respiratory tract by approximately 1 week. Conclusion. SARS-CoV-2 specific antibody assays show substantial agreement, but interpretation of qualitative and semi-quantitative results depends on the time elapsed post-diagnosis and the choice of viral antigen. Mounting of systemic SARS-CoV-2-specific antibodies may predict recovery from viral injury and clearance of mucosal replication.

SARS-CoV-2 Viral Persistence Based on Cycle Threshold Value and Liver Injury in Patients With COVID-19

BACKGROUND

Liver injury in patients with coronavirus disease 2019 (COVID-19) is common and prognostic. Direct viral tropism of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) for angiotensin-converting enzyme 2 receptors in hepatocytes may be one of the mechanisms of liver injury. We aimed to determine the role of viral persistence of SARS-CoV-2, based on cycle threshold (Ct) value, in liver injury in COVID-19.

METHODS

This was a territory-wide retrospective cohort study of all public hospitals in Hong Kong. Laboratory-confirmed COVID-19 was identified. Serial liver biochemistries and Ct values of SARS-CoV-2 RNA were analyzed.

RESULTS

We identified 7622 COVID-19 patients (mean age, 47 years; 48.2% male) diagnosed from March 24 to January 1, 2021, who had serial liver biochemistries and Ct values. A total of 1363 (17.9%) COVID-19 patients had alanine transferase (ALT)/aspartate aminotransferase (AST) elevations with 2 temporal patterns-early (within first 14 days of symptom onset) and late (>14 days from symptom onset). COVID-19 patients with ALT/AST elevations had a lower Ct value at admission (23 vs 25; P < .001), day 5 (24 vs 26; P < .001), and day 20 (31 vs 32; P < .001) after admission, compared with those without ALT/AST elevations. COVID-19 patients with ALT/AST elevations had a longer duration from first positive to first negative reverse transcription polymerase chain reaction test for SARS-CoV-2 (13 vs 9 days; P < .001). ALT/AST elevation and presence of diabetes were independent risk factors of viral persistence.

CONCLUSIONS

Liver injury in COVID-19 is linked to a higher SARS-CoV-2 viral load during the early phase of infection, signifying a possible direct viral injury to the liver. Prolonged viral persistence of SARS-CoV-2 is associated with liver injury.

COVID-19 in Solid Organ Transplantation: Disease Severity and Clinical Update

BACKGROUND

Solid organ transplant (SOT) recipients are a complex, immunocompromised population in whom greater coronavirus disease 2019 (COVID-19) mortality has been reported compared with the general population.

METHODS

We examined a retrospective cohort of 58 SOT recipients with first-wave COVID-19, comparing patients with severe and nonsevere illness. Additionally, SOT recipients are compared with general patients with first-wave COVID-19.

RESULTS

Organs transplanted included 38 kidneys, 8 livers, 5 hearts, and 3 pancreases. Average SOT recipient age was 57.4 years; 62% were male; 46.6% were African American 36.2% were white. Comorbidities included hypertension (86%), chronic kidney disease (86%), diabetes mellitus (50%), coronary artery disease (26%), and chronic obstructive pulmonary disease (14%). Twenty patients had severe COVID-19 (34.5%) and 38 had nonsevere disease (65.5%). Severe disease was more common in older SOT recipients with comorbidities and was associated with cough, dyspnea, pneumonia, C-reactive protein >10 mg/L, and platelet count <150/μL. Sex, race, body mass index, time from transplant, baseline immunosuppression, and diagnosis month did not differ among those with severe and nonsevere COVID-19. Seventy percent of SOT recipients were hospitalized vs 27.2% of general patients with COVID-19 and inpatient SOT recipients had a higher mechanical ventilation rate. Though a trend toward longer length of stay, higher intensive care unit admission, and greater inpatient mortality was observed (19.5% vs 14.8%), these differences were not significant.

CONCLUSIONS

The severe acute respiratory syndrome coronavirus 2 has greatly impacted SOT recipients. One-third of our SOT recipients seen during the first wave had severe illness with associated standard risk factors for poor outcome. Compared with general first-wave patients, more SOT recipients were hospitalized, although inpatient COVID-19 mortality did not significantly differ.

A retrospective matched cohort single-center study evaluating outcomes of COVID-19 and the impact of immunomodulation on COVID-19-related cytokine release syndrome in solid organ transplant recipients

This retrospective matched cohort study describes 30 solid organ transplant (SOT) patients with Coronavirus Disease 2019 (COVID-19) matched 1:2 to 60 non-SOT patients (control group) based on age, body mass index (BMI), and comorbidities (hypertension and diabetes mellitus with hemoglobin A1c > 8.0%). The SOT group had a higher proportion of cardiovascular disease (P < .05). During the index hospitalization, there were no significant differences with regard to disease severity or critical care needs (mechanical intubation, vasopressors, and renal replacement therapy). At 28 days, 4 (13%) patients died in the SOT group and 8 (13%) patients died in the control group (P = 1.0). Nineteen patients received tocilizumab in the SOT group compared to 29 patients in the control group. Among these patients, interleukin-6 (IL-6) and soluble interleukin-2 receptor (sIL2R) levels increased after tocilizumab and interleukin-10 (IL-10) levels decreased after tocilizumab. Overall, SOT patients had comparable mortality to non-SOT patients, although numerically more SOT patients received tocilizumab (63% vs 48%) and steroids (37% vs 20%). Larger, multi-center studies are needed to ascertain these findings. Lastly, the complex cytokine release syndrome in COVID-19 remains an area of intense research and the analysis of key interleukin levels (IL-6, IL-10, and sIL2R) in this study contributes to the understanding of this process.

Epidemiology and precision of SARS-CoV-2 detection following lockdown and relaxation measures

OBJECTIVES

Detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is key to the clinical and epidemiological assessment of CoVID-19. We cross-validated manual and automated high-throughput testing for SARS-CoV-2-RNA, evaluated SARS-CoV-2 loads in nasopharyngeal-oropharyngeal swabs (NOPS), lower respiratory fluids, and plasma, and analyzed detection rates after lockdown and relaxation measures.

METHODS

Basel-S-gene, Roche-E-gene, and Roche-cobas®6800-Target1 and Target2 were prospectively validated in 1344 NOPS submitted during the first pandemic peak (Week 13). Follow-up cohort (FUP) 1, 2, and 3 comprised 10,999, 10,147, and 19,389 NOPS submitted during a 10-week period until Weeks 23, 33, and 43, respectively.

RESULTS

Concordant results were obtained in 1308 cases (97%), including 97 (9%) SARS-CoV-2-positives showing high quantitative correlations (Spearman's r > .95; p < .001) for all assays and high precision by Bland-Altman analysis. Discordant samples (N = 36, 3%) had significantly lower SARS-CoV-2 loads (p < .001). Following lockdown, detection rates declined to <1% in FUP-1, reducing single-test positive predictive values from 99.3% to 85.1%. Following relaxation, rates flared up to 4% and 12% in FUP-2 and -3, but infected patients were younger than during lockdown (34 vs. 52 years, p < .001). In 261 patients providing 936 NOPS, SARS-CoV-2 loads declined by three orders of magnitude within 10 days postdiagnosis (p < .001). SARS-CoV-2 loads in NOPS correlated with those in time-matched lower respiratory fluids or in plasma but remained detectable in some cases with negative follow-up NOPS, respectively.

CONCLUSION

Manual and automated assays significantly correlated qualitatively and quantitatively. Following a successful lockdown, declining positive predictive values require independent dual-target confirmation for reliable assessment. Confirmatory and quantitative follow-up testing should be obtained within <5 days and consider lower respiratory fluids in symptomatic patients with SARS-CoV-2-negative NOPS.