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1.
Gastroenterology ; 165(3): 696-716, 2023 09.
Article in English | MEDLINE | ID: mdl-37263305

ABSTRACT

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.


Subject(s)
Acute-On-Chronic Liver Failure , COVID-19 , Humans , Latin America/epidemiology , Liver Cirrhosis/diagnosis , Liver Cirrhosis/epidemiology , Liver Cirrhosis/genetics , Prospective Studies , COVID-19/complications , Acute-On-Chronic Liver Failure/diagnosis , Acute-On-Chronic Liver Failure/epidemiology , Acute-On-Chronic Liver Failure/genetics , Inflammation/complications , Prognosis
2.
World J Gastroenterol ; 14(16): 2522-8, 2008 Apr 28.
Article in English | MEDLINE | ID: mdl-18442199

ABSTRACT

AIM: To evaluate the epidemiological, clinical, laboratory and histological variables capable of predicting the progression of hepatic structural disturbances in chronic hepatitis C patients during the time interval between two liver biopsies. METHODS: Clinical charts of 112 chronic hepatitis C patients were retrospectively analyzed, whereas liver biopsies were revised. Immunohistochemical detection of interferon receptor was based on the Envision-Peroxidase System. RESULTS: In the multivariate analysis, the variables in the age at first biopsy, ALT levels, presence of lymphoid aggregates and siderosis were the determinants of the best model for predicting the severity of the disease. The direct progression rate of hepatic structural lesions was significantly higher in untreated patients, intermediate in treated non-responders and lower in treated responders to antiviral therapy (non-treated vs responders, 0.22 +/- 0.50 vs -0.15 +/- 0.46, P = 0.0053). Immuno-expression of interferon receptor is not a relevant factor. CONCLUSION: The best predictors of the progression of fibrosis are age at the first liver biopsy, extent of ALT elevation, inflammation at liver histology and hepatic siderosis. Antiviral treatment is effective in preventing the progression of liver structural lesions in chronic hepatitis C patients.


Subject(s)
Hepatitis C, Chronic/pathology , Adult , Biopsy , Disease Progression , Female , Hepatitis C, Chronic/etiology , Hepatitis C, Chronic/physiopathology , Humans , Immunohistochemistry , Liver Cirrhosis/pathology , Liver Cirrhosis/physiopathology , Liver Cirrhosis/virology , Male , Middle Aged , Predictive Value of Tests , Prognosis , Receptors, Interferon/metabolism , Regression Analysis
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