Huang HT, Zhang XY, Zhang C, Ling Q, Zheng SS. Predicting dyslipidemia after liver transplantation: A significant role of recipient metabolic inflammation profile. World J Gastroenterol 2020; 26(19): 2374-2387 [PMID: 32476799 DOI: 10.3748/wjg.v26.i19.2374]
Corresponding Author of This Article
Qi Ling, MD, PhD, Doctor, Surgeon, Department of Surgery, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79, Qingchun Road, Hangzhou 310003, Zhejiang Province, China. lingqi@zju.edu.cn
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Clinical And Translational Research
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Table 3 Logistic regression analysis of variables related to post-transplant dyslipidemia
Univariate
Multivariate
OR (95% CI)
P value
OR (95%CI)
P value
Overweight
2.726 (1.494-4.973)
0.001
2.705 (1.457-5.020)
0.002
Hyper-TG
7.846 (1.032-59.679)
0.047
Hypo-HDLC
3.116 (1.861-5.217)
< 0.001
3.090 (1.828-5.224)
< 0.001
Hepatitis B
0.489 (0.261-0.915)
0.025
Gastrointestinal bleeding
1.916 (1.021-3.595)
0.043
Ascites
1.677 (1.042-2.701)
0.033
HCC
0.594 (0.385-0.916)
0.019
WIT
2.286 (1.147-4.557)
0.019
Table 4 Multivariate logistic regression analysis of risk factors associated with post-transplant dyslipidemia
Multivariate
P value
β
OR (95%CI)
Model 1
Recipient overweight
0.991
2.693 (1.451-4.998)
0.002
Recipient hypo-HDLC
1.134
3.107 (1.838-5.251)
< 0.001
Constant
-0.249
Model 2
Recipient overweight
1.625
3.425 (1.297-9.046)
0.027
Recipient hypo-HDLC
1.231
5.077 (1.206-21.381)
0.013
Low IL-12 (p70) level
1.846
6.336 (2.553-15.726)
< 0.001
Constant
-1.494
Citation: Huang HT, Zhang XY, Zhang C, Ling Q, Zheng SS. Predicting dyslipidemia after liver transplantation: A significant role of recipient metabolic inflammation profile. World J Gastroenterol 2020; 26(19): 2374-2387