Backgrounds: People with metabolic dysfunction-associated steatotic liver disease (MASLD) frequently report fatigue. This symptom is associated with hepatic inflammation and fibrosis. FibroScan-aspartate aminotransferase (FAST) score is a noninvasive measurement tool that can be used to assess the severity of MASLD. We aimed to investigate the independent factors associated with patient-reported outcomes (PROs) including fatigue, and their FAST scores.
Methods: We enrolled 116 patients with MASLD. PROs were assessed by the Chronic Liver Disease Questionnaire for nonalcoholic fatty liver disease (CLDQ-NAFLD), which consists of six domains including fatigue. Each domain score that was less than 6 was classified into the impairment group. A cutoff value of 0.67 in the FAST score was used to categorize a high or low FAST score. Independent factors associated with impaired PROs and fatigue were analyzed using logistic regression analysis and a graphical model.
Results: For factor total, in the logistic regression analysis, the high FAST score was only identified as a negative independent factor for impaired total CLDQ-NAFLD (odds ratio: 5.9, 95% confidence interval: 1.11-31.20, P = 0.034). The graphical model revealed that FAST score, BMI, and age directly interact with impaired total CLDQ-NAFLD. For fatigue, there was no statistically significant factor in the logistic regression analysis. The graphical model revealed that the FAST score, BMI, estimated glomerular filtration rate, and age directly interact with fatigue.
Conclusion: We found that the FAST score directly interacted with total CLDQ-NAFLD and the domain of fatigue. The FAST score may be a useful tool to assess impaired CLDQ-NAFLD.
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http://dx.doi.org/10.1097/MEG.0000000000002895 | DOI Listing |
Am J Pathol
December 2024
Department of Computer Science, Faculty of Engineering Sciences, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
Understanding the tumor hypoxic microenvironment is crucial for grasping tumor biology, clinical progression, and treatment responses. This study presents a novel application of AI in computational histopathology to evaluate hypoxia in breast cancer. Weakly Supervised Deep Learning (WSDL) models can accurately detect morphological changes associated with hypoxia in routine Hematoxylin and Eosin (H&E) whole slide images (WSI).
View Article and Find Full Text PDFNutr J
December 2024
Department of Nutrition, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Background: Although emerging evidence suggests that indole derivatives, microbial metabolites of tryptophan, may improve cardiometabolic health, the effective metabolites remain unclear. Also, the gut microbiota that involved in producing indole derivatives are less studied. We identified microbial taxa that can predict serum concentrations of the key indole metabolite indole-3-propionic acid (IPA) at population level and investigated the associations of indole derivatives and IPA-predicting microbial genera with cardiometabolic risk markers.
View Article and Find Full Text PDFBackground: Insomnia is a modifiable risk factor for type 2 diabetes.
Objective: Describe the methodology for the Sleep for Health study, a randomized clinical trial examining the effectiveness of digital cognitive behavioral therapy for insomnia (dCBT-I) in reducing hyperglycemia in 300 people with both insomnia and prediabetes.
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Pediatr Cardiol
December 2024
Department of Preventive Cardiology, Medical University of Lodz (MUL), Lodz, Poland.
Arterial hypertension and increased atherogenic index of plasma (AIP) are strong predictors of cardiovascular risk associated in individuals with obesity both in adults and children. Thus, we aimed to explore the relationship between AIP and systolic ambulatory blood pressure index (sABPI) with left ventricular geometry pattern in obese children. In this cross-sectional study, a total of 129 obese children (BMI greater or equal to the 95th percentile for age and sex) were examined.
View Article and Find Full Text PDFCurr Oncol
November 2024
School of Kinesiology, Yeungnam University, 280, Daehak-ro, Gyeongsan 38541, Gyeongbuk, Republic of Korea.
Colorectal cancer (CRC) is the third most common cancer globally. Therefore, this study aims to examine data from the National Health Insurance Sharing Service (NHISS) to investigate factors influencing colon cancer incidence, focusing on key variables and optimal cutoff points. The patient cohort from the NHISS database included 1,120,377 individuals aged 1-85 years.
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