Elevated TG/HDL-C Ratio as a Marker for NAFLD Risk and Severity: Insights from a Cross-Sectional Analysis DOI Creative Commons
Yanyan Xuan, Qin Zhang, Jinguo Chu

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 20, 2024

Abstract Background Non-alcoholic fatty liver disease (NAFLD) has emerged as a prominent global health concern, affecting approximately 25% of adults. This study aimed to investigate the association between triglyceride high-density lipoprotein cholesterol ratio (TG/HDL-C) and NAFLD. Methods In this cross-sectional analysis, data from 2017 2018 National Health Nutrition Examination Survey were utilized survey 4,763 individuals. Subgroup analyses, stratified by age sex, performed, along with adjusted multivariable logistic regression analyses evaluate relationship TG/HDL-C levels likelihood NAFLD, steatosis, hepatic fibrosis stage. Additionally, novel curve-fitting approach, employing an expanded generalized additive model, was applied explore non-linear connection Results Among participants, 1,874 individuals diagnosed All three models consistently demonstrated positive sex-stratified subgroup 1.240-fold increased risk observed among men. Furthermore, significant variations in associations NAFLD across different groups, 20–40 group exhibiting stronger correlation. Interestingly, exhibited inverse U-shaped pattern. Conclusion Elevated independently associated heightened severity steatosis American population.

Language: Английский

Hybrid XGBoost model with hyperparameter tuning for prediction of liver disease with better accuracy DOI Creative Commons
Surjeet Dalal, Edeh Michael Onyema, Amit Malik

et al.

World Journal of Gastroenterology, Journal Year: 2022, Volume and Issue: 28(46), P. 6551 - 6563

Published: Dec. 6, 2022

Liver disease indicates any pathology that can harm or destroy the liver prevent it from normal functioning. The global community has recently witnessed an increase in mortality rate due to disease. This could be attributed many factors, among which are human habits, awareness issues, poor healthcare, and late detection. To curb growing threats disease, early detection is critical help reduce risks improve treatment outcome. Emerging technologies such as machine learning, shown this study, deployed assist enhancing its prediction treatment.To present a more efficient system for timely of using hybrid eXtreme Gradient Boosting model with hyperparameter tuning view detection, diagnosis, reduction associated disease.The dataset used study consisted 416 people problems 167 no history. data were collected state Andhra Pradesh, India, through https://www.kaggle.com/datasets/uciml/indian-liver-patient-records. population was divided into two sets depending on patient. binary information recorded attribute "is_patient".The results indicated chi-square automated interaction classification regression trees models achieved accuracy level 71.36% 73.24%, respectively, much better than conventional method. proposed solution would patients physicians tackling problem ensuring cases detected developing cirrhosis (scarring) enhance survival patients. showed potential learning health care, especially concerns monitoring.This contributed knowledge application efforts toward combating However, relevant authorities have invest research other maximize their potential.

Language: Английский

Citations

34
Clinical-nutritional and metabolic disorders in the formation of non-alcoholic fatty liver disease DOI Creative Commons
E. A. Znakharenko, O. N. Gerasimenko, V. N. Maximov

et al.

Experimental and Clinical Gastroenterology, Journal Year: 2025, Volume and Issue: 9, P. 55 - 62

Published: March 6, 2025

Non-alcoholic fatty liver disease (NAFLD) encompasses a range of diseases, including non-alcoholic and steatohepatitis (NASH), potentially leading to cirrhosis hepatocellular carcinoma. Globally, approximately 30% the population suffers from NAFLD, with recent data indicating an increasing prevalence. The incidence NAFLD its complex relationship metabolic dysfunction highlight risk in patients different BMIs who are not provided timely diagnosis therapy. Therefore, it is critical prioritize prevention screening measures for NAFLD. purpose our work was determine factors development without obesity. Materials methods. A one-time study carried out comprehensive assessment nutritional status, anthropometry, bioimpedansometry actual nutrition, as well level biochemical hormonal indicators on basis Regional Clinical Hospital War Veterans No. 3 Novosibirsk. total 349 people took part study. Of these: 113 obesity, 122 obesity according BMI 114 apparently healthy people. Results discussion. In course multivariate regression analysis, models were identified that combine set influencing status. For are: excess dietary cholesterol intake EXP(B) = 1.004 95CI [1.001-1.008], HOMA -IR index 20.535 [5.893-71.551], EXP (B) 5.092 [2.226-11.649], gamma-glutamyl transpeptidase (GGTP) 1.282 [1.155-1.423] visfatin 1.117 [1.067-1.107]. combination factor model consisted fat mass bioimpedance measurements 1.288 [1.123-1.477], HOMA-IR 13.318 [3.045-58.242], GGT 1.388 [1.185-1.626] 1.193 [1.063-1.338]. Conclusion. Thus, depending BMI, have factors, which includes both important features status disorders underlie formation whole. resulting combinations can be used early normal body weight expanded screening.

Language: Английский

Citations

0
Lipoprotein Combine Index as a Better Marker for NAFLD Identification Than Traditional Lipid Parameters DOI Creative Commons
Jiajun Qiu, Xin Huang,

Maobin Kuang

et al.

Diabetes Metabolic Syndrome and Obesity, Journal Year: 2024, Volume and Issue: Volume 17, P. 2583 - 2595

Published: June 1, 2024

Purpose: The association between traditional lipid parameters and non-alcoholic fatty liver disease (NAFLD) has been extensively discussed. This study aims to evaluate compare the lipoprotein combine index (LCI) [total cholesterol (TC), triglycerides (TG), low-density (LDL-C), high-density (HDL-C)] identify NAFLD. Patients Methods: analysis included 14,251 participants from NAfld in Gifu Area, Longitudinal Analysis (NAGALA). Logistic regression models were employed calculate standardized odds ratios (ORs) 95% confidence intervals (CIs) for assessing comparing of LCI with Additionally, receiver operating characteristic (ROC) curves used area under curve (AUC) identifying Results: After adjusting various confounders, we found that was positively associated NAFLD (OR=2.25, CI 1.92– 2.63), this stronger than [OR: TC1.23, TG1.73 LDL-C1.10]. Further subgroup analyses revealed other all subgroups, including men women, overweight/obese [body mass (BMI)≥ 25 kg/m 2 ] non-obese (BMI< ), older (age≥ 45 years) younger (age< participants. ROC indicated (AUC=0.8118) had significantly higher accuracy (All DeLong P < 0.05) compared (AUC: TC0.6309; TG0.7969; LDL-C0.6941); HDL-C0.7587). Sensitivity further confirmed robustness findings. Conclusion: first time a positive correlation Compared parameters, demonstrated suggesting may be better marker identification parameters. Keywords: disease, index, NAFLD,

Language: Английский

Citations

2
Causal relationship between air pollution, lung function, gastroesophageal reflux disease, and non-alcoholic fatty liver disease: univariate and multivariate Mendelian randomization study DOI Creative Commons
Runmin Cao,

Honghe Jiang,

Yurun Zhang

et al.

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: April 29, 2024

Background The association between air pollution, lung function, gastroesophageal reflux disease, and Non-alcoholic fatty liver disease (NAFLD) remains inconclusive. Previous studies were not convincing due to confounding factors reverse causality. We aim investigate the causal relationship NAFLD using Mendelian randomization analysis. Methods In this study, univariate analysis was conducted first. Subsequently, Steiger testing performed exclude possibility of association. Finally, significant risk identified from analysis, as well important affecting previous observational (type 2 diabetes body mass index), included in multivariable Results results univariable showed a positive correlation particulate matter 2.5, NAFLD. There negative forced expiratory volume 1 s, vital capacity, indicated direct (OR = 1.537, p 0.011), type 1.261, &lt; 0.001), Conclusion This study confirmed relationships reflux, Furthermore, independent for NAFLD, having connection with occurrence

Language: Английский

Citations

1
Androgens exacerbate hepatic triglyceride accumulation in rats with polycystic ovary syndrome by downregulating MTTP expression DOI
Dongxu Wang, Han Zhao, Chuan Xing

et al.

Endocrine, Journal Year: 2023, Volume and Issue: 84(2), P. 735 - 744

Published: Nov. 11, 2023

Language: Английский

Citations

3
Association between paravertebral muscle radiological parameter alterations and non-alcoholic fatty liver disease DOI

Lu‐Lu Lin,

Mengjiao Chen, Xiaoyan Huang

et al.

Abdominal Radiology, Journal Year: 2024, Volume and Issue: 49(7), P. 2250 - 2261

Published: May 27, 2024

Language: Английский

Citations

0
Deciphering the complex links between inflammatory bowel diseases and NAFLD through advanced statistical and machine learning analysis DOI Creative Commons
Deepak Kumar, Brijesh Bakariya, Chaman Verma

et al.

Computer Methods and Programs in Biomedicine Update, Journal Year: 2024, Volume and Issue: unknown, P. 100165 - 100165

Published: Sept. 1, 2024

Language: Английский

Citations

0
Elevated TG/HDL-C Ratio as a Marker for NAFLD Risk and Severity: Insights from a Cross-Sectional Analysis DOI Creative Commons
Yanyan Xuan, Qin Zhang, Jinguo Chu

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 20, 2024

Abstract Background Non-alcoholic fatty liver disease (NAFLD) has emerged as a prominent global health concern, affecting approximately 25% of adults. This study aimed to investigate the association between triglyceride high-density lipoprotein cholesterol ratio (TG/HDL-C) and NAFLD. Methods In this cross-sectional analysis, data from 2017 2018 National Health Nutrition Examination Survey were utilized survey 4,763 individuals. Subgroup analyses, stratified by age sex, performed, along with adjusted multivariable logistic regression analyses evaluate relationship TG/HDL-C levels likelihood NAFLD, steatosis, hepatic fibrosis stage. Additionally, novel curve-fitting approach, employing an expanded generalized additive model, was applied explore non-linear connection Results Among participants, 1,874 individuals diagnosed All three models consistently demonstrated positive sex-stratified subgroup 1.240-fold increased risk observed among men. Furthermore, significant variations in associations NAFLD across different groups, 20–40 group exhibiting stronger correlation. Interestingly, exhibited inverse U-shaped pattern. Conclusion Elevated independently associated heightened severity steatosis American population.

Language: Английский

Citations

0