Opening book details…
Can I read Novel metabolic classification for extrahepatic complication of metabolic associated fatty liver disease: A data-driven cluster analysis with international validation on EtoBox?
Novel metabolic classification for extrahepatic complication of metabolic associated fatty liver disease: A data-driven cluster analysis with international validation by Junzhao Ye; Xiaodong Zhuang; Xin Li; Xiaorong Gong; Yanhong Sun; Wei Wang; Shiting Feng; Tingfeng Wu; Bihui Zhong is a Medicine article available to read on EtoBox.
What is Novel metabolic classification for extrahepatic complication of metabolic associated fatty liver disease: A data-driven cluster analysis with international validation about?
## Background: Traditional classification systems of metabolic-associated fatty liver disease (mafld) do not account for the high rate of extrahepatic complications. to create a new classification of mafld using metabolic parameters to identify risks of complications more accurately. ## Methods: The retrospective study included mafld patients from the first affiliated hospital of sun yat-sen university for model development, and the model was validated respectively using chinese cohort and uk biobank database. cluster analysis with k-means cluster was built using age, body mass index (bmi), glycosylated hemoglobin (hba1c), total cholesterol/high density lipoprotein cholesterol (hdl-c) ratio, triglyceride, and lipoprotein(a) [lp(a)] levels. cox regression models were used to compare the risk of type 2 diabetes (t2dm), chronic heart disease (chd), stroke and mortality between the clusters. ## Results: 1038 mafld patients from cross-sectional population were recruited for the model derivation, with 10,451 cases (33.4 % of mafld) from chinese cohort and 304,141 cases (34.9 % of mafld, 1010 cases with magnetic resonance imaging proton density fat fraction measurement [mri-pdff]) from th
Who reads Novel metabolic classification for extrahepatic complication of metabolic associated fatty liver disease: A data-driven cluster analysis with international validation?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Junzhao Ye; Xiaodong Zhuang; Xin Li; Xiaorong Gong; Yanhong Sun; Wei Wang; Shiting Feng; Tingfeng Wu; Bihui Zhong
- Publisher
- Elsevier BV
- Published
- 2022
- Language
- EN
- Field
- Medicine (Health Sciences)