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The fast spread of COVID-19 has overcrowded Public Health Systems facilities in major countries due to the large number of seriously ill patients, particularly those requiring admission to intensive care units. Reducing viral load, along with other recommended epidemiological measures, such as social distancing and home confinement, can in time significantly help to reduce the infection R0 (Basic Reproductive Rate) and then mitigate disease burden. Early negativization or otherwise reduction of the viral load can potentially diminish disease severity, resulting in a better-controlled public health response, avoiding collapse of healthcare systems. Nitazoxanide, a widely used thiazolide approved by the FDA as an antiparasitic drug, also approved in Brazil for Norovirus and Rotavirus treatments, has an excellent safety record for a variety of indications. Nitazoxanide exhibits activity in vitro against MERS-CoV and other coronaviruses; and a specific antiviral effect (in micro molar doses) against SARS-CoV-2. The objective of this study was to evaluate the efficacy and safety of Nitazoxanide in reducing the SARS-COV 2 viral load within 7 days of treatment in respiratory samples from COVID-19-infected patients with mild to moderate disease, compared to placebo. An interim analysis showed that the ratio of patients with a viral load reduction ≥ 35% from baseline up to day 7 of treatment was significantly greater for Nitazoxanide compared to placebo (47.8% vs. 15.4%; Δ 34.6%; 95% CI: 64.7; 4.6: p = 0.037).

To achieve WHO's goal of eliminating hepatitis C virus (HCV), innovative strategies must be designed to diagnose and treat more patients. Therefore, we aimed to describe an implementation strategy to identify patients with HCV who were lost to follow-up (LTFU) and offer them re-linkage to HCV care. We conducted an implementation study utilizing a strategy to contact patients with HCV who were not under regular follow-up in 13 countries from Latin America. Patients with HCV were identified by the international classification of diseases (ICD-9/10) or equivalent. Medical records were then reviewed to confirm the diagnosis of chronic HCV infection defined by anti-HCV+ and detectable HCV-RNA. Identified patients who were not under follow-up by a liver specialist were contacted by telephone or email, and offered a medical reevaluation. A total of 10,364 patients were classified to have HCV. After reviewing their medical charts, 1349 (13%) had undetectable HCV-RNA or were wrongly coded. Overall, 9015 (86.9%) individuals were identified with chronic HCV infection. A total of 5096 (56.5%) patients were under routine HCV care and 3919 (43.5%) had been LTFU. We were able to contact 1617 (41.3%) of the 3919 patients who were LTFU at the primary medical institution, of which 427 (26.4%) were cured at a different institutions or were dead. Of the remaining patients, 906 (76.1%) were candidates for retrieval. In our cohort, about one out of four patients with chronic HCV who were LTFU were candidates to receive treatment. This strategy has the potential to be effective, accessible and significantly impacts on the HCV care cascade.

Liver transplantation (LT) is one of the leading curative therapies for hepatocellular carcinoma (HCC). Despite recent optimization of transplant selection criteria, including alpha-feto protein, HCC recurrence after LT is still the leading cause of death in these patients. During the last decades, effective systemic treatments for HCC, including tyrosine kinase inhibitors and immunotherapy, have been approved. We describe the clinical scenario of a patient with recurrence of HCC five years after LT, who received lenvatinib as first-line systemic therapy to introduce systemic treatment options in this clinical setting. In this opinion review, we detail first and second-line systemic treatment options, focusing on those feasible for patients with recurrent HCC after LT. Several trials have evaluated new drugs to treat HCC patients in first and second-line therapy, but patients with recurrent HCC after LT have been excluded from these trials. Consequently, most of the evidence comes from observational retrospective studies. Whether tyrosine kinase inhibitors will remain the primary therapeutic approach in these patients, due to a relative contraindication for immunotherapy, may be clarified in the near future.

Introduction and objectives The liver imaging reporting data system (LI-RADS) for hepatocellular carcinoma (HCC) was proposed to standardize and enhance consensus of reporting. However, clinical utility of LI-RADS has not been evaluated in Latin America. We therefore sought to compare LI-RADS categories with histopathology findings in liver transplant (LT) explants in a regional center. Materials and methods Prospective cohort study conducted between 2012 and 2018 in a single center from Argentina including patients with HCC listed for LT. LI-RADS definitions were applied to magnetic resonance images (MRI) or computed tomography (CT) abdominal scans at time of listing and at final pre-LT reassessment and compared to explant pathology findings; specifically, major nodule (NOD1). Results Of 130 patients with HCC listed for LT (96.1% with cirrhosis and 35.6% with hepatitis C virus infection), 72 underwent LT. Overall, 65% had imaging HCC diagnosis based on MRI (n = 84), 26% with CT (n = 34) and 9% (n = 12) with both methods. Among LT patients with pre-transplant imaging at our institution (n = 42/72), 69% of the NOD1 were LR-5, 21% LR-4 and 10% LR-3. Definite HCC diagnosis was 50% in LR-3 NOD1 (CI 18–90); none presented microvascular invasion. In LR-4 NOD1, HCC was confirmed in 89% (CI 59–98), of which 11% showed microvascular invasion; whereas in LR-5 NOD1 77% (CI 64–87) had confirmed HCC, 17% with microvascular invasion. Conclusions LI-RADS was useful to standardize reports; however, no significant differences were observed between LR-4 and LR-5 HCC probability when compared to explant pathology.

Liver transplantation (LT) selection models for hepatocellular carcinoma (HCC) have not been proposed to predict waitlist dropout because of tumour progression. The aim of this study was to compare the alpha-foetoprotein (AFP) model and other pre-LT models in their prediction of HCC dropout.A multicentre cohort study was conducted in 20 Latin American transplant centres, including 994 listed patients for LT with HCC from 2012 to 2018. Longitudinal tumour characteristics, and patterns of progression were recorded at time of listing, after treatments and at last follow-up over the waitlist period. Competing risk regression models were performed, and model's discrimination was compared estimating Harrell's adapted c-statistics.HCC dropout rate was significantly higher in patients beyond (24% [95% CI 16-28]) compared to those within Milan criteria (8% [95% IC 5%-12%]; p .0001), with a SHR of 3.01 [95% CI 2.03-4.47]), adjusted for waiting list time and bridging therapies (c-index 0.63 [95% CI 0.57; 0.69). HCC dropout rates were higher in patients with AFP scores2 (adjusted SHR of 3.17 [CI 2.13-4.71]), c-index of 0.71 (95% CI 0.65-0.77; p = .09 vs Milan). Similar discrimination power for HCC dropout was observed between the AFP score and the Metroticket 2.0 model. In patients within Milan, an AFP score 2 points discriminated two populations with a higher risk of HCC dropout (SHR 1.68 [95% CI 1.08-2.61]).Pre-transplant selection models similarly predicted HCC dropout. However, the AFP model can discriminate a higher risk of dropout among patients within Milan criteria.

Introduction: Early preventive strict quarantine due to COVID-19 pandemic was implemented in Argentina since March 20th, 2020. Transplant societies and organ procurement organizations were challenged to face this complex scenario and sustain organ donation and transplantation activity. Objectives: We evaluated the impact of complete and preventive lockdown in organ procurement and transplantation before the COVID-19 peak onset. Materials and Methods: We analyzed prospectively collected data from the National Report Agency (INCUCAI). By constructing time series, we compared donation and transplant rates from the years 2010 to 2020, during a same monthly-period between March 3rd and July 20th. We evaluated the effect of preventive lockdown before the peak of COVID-19 curve. Donation rates per million population in these months were also registered for each year. Transplant accessibility was calculated, dividing the total number of transplants and the total number of listed patients. Results: The preventive lockdown was associated with a 34.5% relative reduction (95% CI 26.9-43.2) in organ procurement when compared to 2010-2019 and significantly reduced comparing 2019 [53.3% (CI 44.6-61.6)]. This scenario was even worse in Buenos Aires city and its surroundings, the region most affected by COVID-19. During this period, donation per million population rates decreased from 7.8 in 2019 to 3.3 in 2020. This reduction was even higher in the number of deceased and living donor transplants performed comparing 2019 vs. 2020, with a relative reduction of 62.0% (CI 30.8-89.1) and 68.8% (CI 65.7-71.7), respectively. Conclusions: During this short observation period of 120 days of preventive quarantine, not yet having reached the ''peak'' incidence of COVID-19, a marked reduction in procurement and transplantation rates were observed. Although waiting list mortality was not significantly modified, transplant access has been significantly reduced, showing a future negative trend on waitlist mortality.