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Association of Metabolic Parameter Variability with Esophageal Cancer Risk: A Nationwide Population-Based Study.

Authors :
Lee, Ji Eun
Han, Kyungdo
Yoo, Juhwan
Yeo, Yohwan
Cho, In Young
Cho, Belong
Kwon, Hyuktae
Shin, Dong Wook
Cho, Jong Ho
Park, Yong-Moon
Source :
Journal of Personalized Medicine; Mar2022, Vol. 12 Issue 3, p375-N.PAG, 11p
Publication Year :
2022

Abstract

Introduction: Certain metabolic parameters increase the risk of esophageal cancer. This study investigated the association between the variability in metabolic parameters and esophageal cancer incidence using large nationally representative data. Methods: Using the health checkup and claims data provided by the Korean National Health Insurance Service (NHIS), we included 8,376,233 subjects who underwent NHIS-provided health checkups between 2009 and 2010 (index year) and two or more health checkups within five years before the index year. Hazard ratios (HRs) and 95% confidence intervals (CIs) for esophageal cancer were obtained using Cox proportional hazards models according to the quartiles of variability of each metabolic parameter: fasting blood glucose (FBG), weight, systolic blood pressure (SBP), and total cholesterol (TC) as well as a cumulative number of high-variability parameters. Results: A total of 6,455 cases of esophageal cancer occurred during a mean (±SD) follow-up of 8.8 (±1.1) years. The following metabolic parameters were used, with an adjusted HR and 95% CI: FBG (1.11, 1.03–1.18), weight (1.15, 1.07–1.23), SBP (1.08, 1.01–1.16), and TC (1.23, 1.15–1.32). The risk of esophageal cancer was higher in the highest quartile of variability than the lower quartiles. The risk of esophageal cancer gradually increased with a greater number of high-variability parameters: 1.08 (1.02–1.15), 1.22 (1.14–1.31), and 1.33 (1.21–1.46) for 1, 2, and 3–4 high-variability parameters (vs. none). Conclusions: A high variability of metabolic parameters was associated with an increased esophageal cancer risk. Further studies are needed to replicate our findings in other populations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20754426
Volume :
12
Issue :
3
Database :
Complementary Index
Journal :
Journal of Personalized Medicine
Publication Type :
Academic Journal
Accession number :
156052492
Full Text :
https://doi.org/10.3390/jpm12030375