scholarly journals The prediction model of fatty liver was established by blood biochemical indexes

2021 ◽  
Author(s):  
yan xu ◽  
Rong LIU
Keyword(s):  
Liver Disease ◽  
Prediction Model ◽  
Fatty Liver ◽  
Roc Curve ◽  
Alcoholic Fatty Liver ◽  
Validation Population ◽  
Blood Biochemical ◽  
Prevention And Treatment ◽  
The Future ◽  
Area Under Roc Curve

Abstract Background The main cause of chronic liver disease is fatty liver, which includes alcoholic fatty liver and non-alcoholic fatty liver disease. This study is aimed to establish the prediction model of fatty liver, and provide help for the prevention and treatment of fatty liver, especially NAFLD in the future. Methods Datasets from 2017 to March 2020 NHANES required for the analysis were downloaded from the NHANES web site and R 4.1.1. Software was used for data analysis. A total of 3762 subjects were enrolled in this study, which were divided into model construction group and model validation group in a 2:1 ratio. Results The study selected 6 indicators to build the prediction model, which are as follows: ALT, Platelet count, Creatinine, LDH, HS C-Reactive Protein, Glucose. Then the prediction model was constructed. The area under ROC curve of the model was 0.7471. In the validation population, the area under the ROC curve of the model was 0.7816. Conclusions F score has a good predictive effect on fatty liver, which can be used as an important means for the prevention and treatment of fatty liver, especially NAFLD in the future.

Comparison of Blood Biochemical Markers and Anthropometric Parameters in Different Fatty Liver Grades

2021 ◽  
Author(s):  
Narges Jani ◽  
Manizheh Azari ◽  
Sina Jafari Ghalekohneh ◽  
Mahdie Hemati ◽  
Javad Mohiti-Ardekani ◽  
...  
Keyword(s):  
Liver Disease ◽  
Statistical Analysis ◽  
Fatty Liver ◽  
Biochemical Markers ◽  
Fatty Liver Disease ◽  
Anthropometric Parameters ◽  
Serum Glutamic Oxaloacetic Transaminase ◽  
Alcoholic Fatty Liver ◽  
Blood Biochemical ◽  
Significant Difference

Background and Aims: Obesity and hyperlipidemia, diabetes, and malnutrition are among the causes of fatty liver disease. This study compares blood biochemical markers and anthropometric parameters in different grades of fatty liver. Materials and Methods: In this descriptive cross-sectional study, 73 fatty liver patients were studied. The degree of fatty liver disease was divided into three grades on ultrasonography. Anthropometric parameters BMI, waist circumstance, height, weight in the fasting state were evaluated according to the standard protocols. The blood samples were taken and biochemical variables fasting blood sugar, serum glutamic-oxaloacetic transaminase (SGOT), Serum glutamic-pyruvic transaminase (SGPT), calcium, phosphorus, low density lipoprotein (LDL), cholesterol, triglyceride, and others were examined with photometric and HPLC methods. Results: Statistical analysis was significant between grades 1 and 3 of fatty liver (p = 0.006) and body mass index between grades 1 and 3 of fatty liver (p = 0.003). Comparing SGOT between different grades did not show any significant differences. However, comparing Bili Total indicated a significant difference between grades 1 and 2 and 1 and 3. Moreover, statistical analysis of qualitative variables, such as gender, hypertension, smoking, drug, alcohol, heart disease, stomach disease, and kidney disease, was not statistically significant between the three fatty liver groups. Median ± IQR had a significant difference for SGOT and Bili Total (p < 0.05). Conclusion: This study showed the significance of BMI, waist circumstance, and bilirubin factors in different grades of fatty liver. Monitoring BMI, waist circumstance, and bilirubin factors will be useful for susceptible people to non-alcoholic fatty liver disease.

Sign in / Sign up

Export Citation Format

Share Document