Publications by authors named "Riham Soliman"
Letter: Identifying the Best Model for Predicting Post-SVR HCC-Authors' Reply.
Aliment Pharmacol Ther
January 2025
Article Synopsis
- Recurrent pregnancy loss (RPL) is defined as two or more consecutive miscarriages and may be influenced by immune system and genetic factors, particularly the Vitamin D Binding Protein (VDBP).
- The study involved 198 women with a history of multiple miscarriages, focusing on the role of Vitamin D levels and its impact on immune function, using various laboratory techniques to analyze these relationships.
- Results indicated that low Vitamin D is linked to reduced natural killer (NK) cell activity and altered protein levels (like VDBP and HLA-G1), suggesting that Vitamin D deficiency could disrupt adenosine metabolism, contributing to reproductive complications.
Background: Several HCC risk stratification scores were developed; however, none has been prospectively validated. The primary aim is to validate the clinical utility of six HCC risk scores in large prospective study of F3-4 patients achieving SVR following DAAs according to EASL guidelines. The secondary aim is to explore whether individualized risk stratification improves detection of HCC at early stages amenable to curative treatment.
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- MAFLD (Metabolic Associated Fatty Liver Disease) is the main cause of chronic liver problems, and it's super common in people with diabetes and obesity; around 70% of them can have it.
- This study wanted to find out how much diabetic patients know about MAFLD and how things like their ethnic backgrounds and habits affect their health.
- Out of the diabetic patients checked, over half had fat in their liver, but only about 31% knew about MAFLD, and 69% of those with serious liver issues had never even heard of it before.
It is alarming that globally, only 2.2% (6.6 million) of patients with chronic hepatitis B (CHB) received treatment in 2019.
View Article and Find Full Text PDFBackground: We recently developed a simple novel index called fibrosis 6 (FIB-6) using machine learning data analysis. We aimed to evaluate its performance in the diagnosis of liver fibrosis and cirrhosis in chronic hepatitis B (CHB).
Methods: A retrospective observational analysis of data was obtained from seven countries (Egypt, Kingdom of Saudi Arabia (KSA), Turkey, Greece, Oman, Qatar, and Jordan) of CHB patients.
Background And Aims: We previously developed and validated a non-invasive diagnostic index based on routine laboratory parameters for predicting the stage of hepatic fibrosis in patients with chronic hepatitis C (CHC) called FIB-6 through machine learning with random forests algorithm using retrospective data of 7238 biopsy-proven CHC patients. Our aim is to validate this novel score in patients with metabolic dysfunction-associated fatty liver disease (MAFLD).
Method: Performance of the new score was externally validated in cohorts from one site in Egypt (n = 674) and in 5 different countries (n = 1798) in Iran, KSA, Greece, Turkey and Oman.
Article Synopsis
- Direct-acting antivirals have led to a rise in hepatocellular carcinoma (HCC) cases in patients who have achieved sustained virologic response (SVR) for hepatitis C, with limited understanding of regional differences in outcomes post-SVR HCC.
- A study of 8796 patients with advanced liver fibrosis found that 6.6% developed HCC, revealing significant geographic variations in detection, tumor size, and survival rates, with East Asia, North America, and South America having the best outcomes.
- The findings suggest that implementing HCC surveillance can lead to earlier detection and improved survival rates, highlighting its importance as an intervention strategy across different regions.