Genetic Ancestry, Race, and Severity of Acutely Decompensated Cirrhosis in Latin America.

BACKGROUND & AIMS: Genetic ancestry or racial differences in health outcomes exist in diseases associated with systemic inflammation (eg, COVID-19). This study aimed to investigate the association of genetic ancestry and race with acute-on-chronic liver failure (ACLF), which is characterized by acute systemic inflammation, multi-organ failure, and high risk of short-term death. METHODS: This prospective cohort study analyzed a comprehensive set of data, including genetic ancestry and race among several others, in 1274 patients with acutely decompensated cirrhosis who were nonelectively admitted to 44 hospitals from 7 Latin American countries. RESULTS: Three hundred ninety-five patients (31.0%) had ACLF of any grade at enrollment. Patients with ACLF had a higher median percentage of Native American genetic ancestry and lower median percentage of European ancestry than patients without ACLF (22.6% vs 12.9% and 53.4% vs 59.6%, respectively). The median percentage of African genetic ancestry was low among patients with ACLF and among those without ACLF. In terms of race, a higher percentage of patients with ACLF than patients without ACLF were Native American and a lower percentage of patients with ACLF than patients without ACLF were European American or African American. In multivariable analyses that adjusted for differences in sociodemographic and clinical characteristics, the odds ratio for ACLF at enrollment was 1.08 (95% CI, 1.03-1.13) with Native American genetic ancestry and 2.57 (95% CI, 1.84-3.58) for Native American race vs European American race CONCLUSIONS: In a large cohort of Latin American patients with acutely decompensated cirrhosis, increasing percentages of Native American ancestry and Native American race were factors independently associated with ACLF at enrollment.

Impact of baseline abnormal liver enzymes in the outcome of COVID-19 infection

Background Little is known about the significance of liver function tests (LFT) abnormalities in COVID-19 and their impact on disease outcomes. The aims of the study were to evaluate abnormalities of LFT in patients with COVID-19 and their impact on disease severity, mortality, and correlation with leukocyte markers of inflammation. Methods All patients with COVID-19 admitted to the emergency department (ED) of a single reference center were retrospectively evaluated. Data were collected using an electronic medical database covering the following variables: demographics, baseline complete blood count (CBC) and ratios, neutrophil-lymphocyte (NLR) and monocyte-lymphocyte ratios (MLR), systemic immune-inflammation index (SII), aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels. Disease severity was defined by the presence of organ failure (OF) or requirement for intensive care unit (ICU) support. Mortality was considered as patient death during hospitalization. Results A total of 1,539 subjects (799 women, mean age 57±18 years) with COVID-19 were evaluated. Abnormal AST and/or ALT were seen in 50% of them, with a frequency and magnitude that significantly correlated with leukocyte count and ratios. Both LFT were significantly associated with requirement for hospital and ICU admission and mortality. High AST levels were significantly associated with the presence, number, and types of OFs and in-hospital length of stay (LOS). Elevated ALT was also significantly associated with the aforementioned variables, with the exception of OFs presence, circulatory failure and LOS. Conclusions LFT abnormalities are frequently seen in COVID-19 patients, reflect SARS-CoV-2 associated inflammation and may predict adverse outcomes. LFT may be useful to aid decision-making in the ED for hospital admission or scheduled outpatient reevaluation.

Leukocyte ratios are useful early predictors for adverse outcomes of COVID-19 infection.

Leukocyte biomarkers, including the neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte-(MLR), platelet-to-lymphocyte (PLR) ratios and systemic immune-inflammation index (SII) have been associated with severity and mortality of patients with COVID-19. The purpose of this study was to evaluate the association of baseline leukocyte biomarkers calculated in the emergency department (ED) with the disease severity and mortality. This was a retrospective cohort study that evaluated 1,535 (mean age 57+18 years) patients with SARS-CoV-2 infection in the ED of a single reference center. Outcomes were severity, defined as intensive care unit (ICU) admission requirement, and in-hospital mortality. All leukocyte biomarkers were calculated in the ED before the hospital admission. Their ability to predict the severity and mortality was measured using receiver operating characteristic (ROC) curves. Severity and mortality were observed in 30.9% and 12.6% of the patients, respectively, and were significantly correlated with NLR, MLR, PLR and SII, but only NLR was independently associated with both outcomes on multivariate analysis. Analysis of ROC curves revealed that NLR (0.78 for severity and 0.80 for mortality) and SII (0.77 for severity and 0.75 for mortality) had the best ability to predict mortality, when compared to other ratios. The highest AUC was observed for NLR, employing cut-off points of 5.4 for severity and 5.5 for mortality. Leukocyte biomarkers, particularly NLR, are capable of predicting the severity and mortality of patients with SARS-CoV-2 infection and could be important adjunct tools to identify patients in the ED that are more prone to develop adverse outcomes.

Impact of baseline abnormal liver enzymes in the outcome of COVID-19 infection.

Background: Little is known about the significance of liver function tests (LFT) abnormalities in COVID-19 and their impact on disease outcomes. The aims of the study were to evaluate abnormalities of LFT in patients with COVID-19 and their impact on disease severity, mortality, and correlation with leukocyte markers of inflammation. Methods: All patients with COVID-19 admitted to the emergency department (ED) of a single reference center were retrospectively evaluated. Data were collected using an electronic medical database covering the following variables: demographics, baseline complete blood count (CBC) and ratios, neutrophil-lymphocyte (NLR) and monocyte-lymphocyte ratios (MLR), systemic immune-inflammation index (SII), aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels. Disease severity was defined by the presence of organ failure (OF) or requirement for intensive care unit (ICU) support. Mortality was considered as patient death during hospitalization. Results: A total of 1,539 subjects (799 women, mean age 57±18 years) with COVID-19 were evaluated. Abnormal AST and/or ALT were seen in 50% of them, with a frequency and magnitude that significantly correlated with leukocyte count and ratios. Both LFT were significantly associated with requirement for hospital and ICU admission and mortality. High AST levels were significantly associated with the presence, number, and types of OFs and in-hospital length of stay (LOS). Elevated ALT was also significantly associated with the aforementioned variables, with the exception of OFs presence, circulatory failure and LOS. Conclusions: LFT abnormalities are frequently seen in COVID-19 patients, reflect SARS-CoV-2 associated inflammation and may predict adverse outcomes. LFT may be useful to aid decision-making in the ED for hospital admission or scheduled outpatient reevaluation.