The search for risk factors for rapid progression of hepatic fibrosis (HF) in chronic hepatitis C (CHC) is a topical scientific and practical task. The purpose of the study is to identify clinical and genetic predictors and create the prognostic model of rapidly progressive HF in CHC. A retrospective cohort study of 125 patients with CHC has been carried out. The logistic regression and ROC-analysis have been applied for statistical data processing. The resulting analysis of 46 potential predictors of rapidly progressive HF in CHC identified the following significant ctiteria: male gender - ОR=3.44 [95% СΙ 1.60-7.39], р=0.001; increased levels of alanine aminotransferase (ALT) - ОR=4.93 [95% СΙ 1.54-15.76], р=0.007, particularly, moderate cytolytic activity - ОR=2.36 [95% СΙ 1.08-5.16], р=0.031; aspartate aminotransferase (АSТ) - ОR=3.65 [95% СΙ 1.41-9.43] р=0.007; γ-glutamiltranspeptidase (GGTP) - ОR=3.63 [95% СΙ 1.73-7.61], р=0.001; total bilirubin - ОR=3.53 [95% СΙ 1.47-8.47], р=0.005; alkaline phosphatase - ОR=9.18 [95% 1.11-75.80], р=0.039; alcohol intake>40 g/day (ОR=3.53 [95% СΙ 1.36-9.17], р=0.009), Gln11Gln genotype of the TLR7 gene (ОR=4.56 [95% СΙ 1.57-13.22], р=0.005), presence of chronic cholecystitis and/or pancreatitis (ОR=5.30 [95% СΙ 1.84-15.25], р=0.002). The prognostic model, comprising 6 predictors (level of GGTP>upper limit of normal (ULN), male gender, Gln11Gln genotype of the TLR7 gene chronic cholecystitis and/or pancreatitis, levels of total bilirubin and АSТ>ULN) have been created, demonstrating the statistical significance (p=0.000) and high operational characteristics (sensitivity - 85.5%, specificity - 68.3%, total number of the appropriate assignments - 76.8%, positive and negative predictive value - 72,6% and 82.7%,, respectively, the AUC ROC-curve - 0.840). Use of the created model will help to predict the rapid progression of HF in CHC and form the risk-group, requiring individual approaches to prescribing antiviral therapy for CHC.
Download full-text PDF |
Source |
---|
Reprod Biomed Online
September 2024
UMF Iuliu Haţieganu, Cluj-Napoca, Romania.
Research Question: Are the combined genotypes and haplotypes of vitamin D receptor (VDR) gene polymorphisms (FokI, ApaI and TaqI) associated with susceptibility to polycystic ovary syndrome (PCOS) and metabolic features of the disease?
Design: This case-control study included 46 women with PCOS and 48 controls. Genotypes of the VDR gene were determined using the polymerase chain reaction-restriction fragment length polymorphism method. Waist circumference, and parameters of lipid and glucose metabolism were evaluated in all women.
Reprod Sci
November 2024
Dexeus Fertility, Dexeus University Hospital, 08028, Barcelona, Spain.
To analyze whether combinations of polymorphisms within FSHR gene influence ovarian response (OR) to stimulation. A multicenter prospective cohort study was conducted from 11/2016-06/2019 in Europe and Asia including predicted normo-responders under 38y. Patients underwent ovarian stimulation using fixed-dose 150 IU rFSH in a GnRH antagonist protocol.
View Article and Find Full Text PDFInflamm Intest Dis
May 2024
Endoscopy Unit, Macquarie University Hospital, Sydney, NSW, Australia.
BMJ Open Respir Res
December 2023
Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Introduction: The genetic determinants of fractional exhalation of nitric oxide (FeNO), a marker of lung inflammation, are understudied in Black individuals. Alpha globin () restricts nitric oxide signalling in arterial endothelial cells via interactions with nitric oxide synthase; however, its role in regulating the release of NO from respiratory epithelium is less well understood. We hypothesised that an gene deletion, common among Black individuals, would be associated with higher FeNO.
View Article and Find Full Text PDFDiagn Microbiol Infect Dis
February 2024
Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, Anhui, China. Electronic address:
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!