
Assessment of Computed Tomography-Defined Muscle and Adipose Tissue Features in Relation to Length of Hospital Stay and Recurrence of Hypertriglyceridemic Pancreatitis
Author(s) -
Huajun Yu,
Yingbao Huang,
Lifang Chen,
Liuzhi Shi,
Yunjun Yang,
Weiliang Xia
Publication year - 2021
Publication title -
international journal of general medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.722
H-Index - 36
ISSN - 1178-7074
DOI - 10.2147/ijgm.s311118
Subject(s) - medicine , confidence interval , hazard ratio , adipose tissue , logistic regression , multivariate statistics , acute pancreatitis , pancreatitis , multivariate analysis , medical record , bayesian multivariate linear regression , odds ratio , gastroenterology , linear regression , statistics , mathematics , machine learning , computer science
Analytic morphometric assessment has recently been proposed to be applied to the study of acute pancreatitis (AP). However, the relationship between body composition and the outcomes of hypertriglyceridemic pancreatitis (HTGP) is still unclear. The aim of this study was to evaluate body composition in relation to the length of hospital stay (LOS) and recurrence of HTGP.