LASSO-derived model for the prediction of lean-non-alcoholic fatty liver disease in examinees attending a routine health check-up.
Ann Med
; 56(1): 2317348, 2024 12.
Article
in En
| MEDLINE
| ID: mdl-38364216
ABSTRACT
BACKGROUND:
Lean individuals with non-alcohol fatty liver disease (NAFLD) often have normal body size but abnormal visceral fat. Therefore, an alternative to body mass index should be considered for prediction of lean-NAFLD. This study aimed to use representative visceral fat links with other laboratory parameters using the least absolute shrinkage and selection operator (LASSO) method to construct a predictive model for lean-NAFLD.METHODS:
This retrospective cross-sectional analysis enrolled 2325 subjects with BMI < 24 kg/m2 from medical records of 51,271 examinees who underwent a routine health check-up. They were randomly divided into training and validation cohorts at a ratio of 11. The LASSO-derived prediction model used LASSO regression to select 23 clinical and laboratory factors. The discrimination and calibration abilities were evaluated using the Hosmer-Lemeshow test and calibration curves. The performance of the LASSO model was compared with the fatty liver index (FLI) model.RESULTS:
The LASSO-derived model included four variables-visceral fat, triglyceride levels, HDL-C-C levels, and waist hip ratio-and demonstrated superior performance in predicting lean-NAFLD with high discriminatory ability (AUC, 0.8416; 95% CI 0.811-0.872) that was comparable with the FLI model. Using a cut-off of 0.1484, moderate sensitivity (75.69%) and specificity (79.86%), as well as high negative predictive value (95.9%), were achieved in the LASSO model. In addition, with normal WC subgroup analysis, the LASSO model exhibits a trend of higher accuracy compared to FLI (cut-off 15.45).CONCLUSIONS:
We developed a LASSO-derived predictive model with the potential for use as an alternative tool for predicting lean-NAFLD in clinical settings.
Researchers developed a model to predict a type of liver disease called non-alcoholic fatty liver disease (NAFLD) in lean individuals.The model accurately detects NAFLD in lean individuals using factors like visceral fat, triglyceride levels, and waist-to-hip ratio, aiding in identifying the disease in normal-weight people with abnormal fat distribution.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Non-alcoholic Fatty Liver Disease
Limits:
Humans
Language:
En
Journal:
Ann Med
Journal subject:
MEDICINA
Year:
2024
Document type:
Article
Affiliation country:
Taiwan
Country of publication:
United kingdom