Journal of Clinical and Translational Hepatology

Journal of Clinical and Translational Hepatology

Monday, 03 / 30 / 2020

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The Association between Meteorological Factors and the Prevalence of Acute-on-chronic Liver Failure: A Population-based Study, 2007–2016

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The Association between Meteorological Factors and the Prevalence of Acute-on-chronic Liver Failure: A Population-based Study, 2007–2016

Su Lin1, Lifen Han2, Dongliang Li3, Ting Wang1, Zimu Wu1, Haoyang Zhang4, Zhansong Xiao5, Yinlian Wu1, Jiaofeng Huang1, Mingfang Wang1 and Yueyong Zhu*,1

1Liver Research Center of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
2Department of Infectious Disease, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian, China
3Department of Hepatobiliary Disease, 900 Hospital of PLA, Fuzhou, Fujian, China
4School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
5Fujian Medical University, Fuzhou, Fujian, China

*Correspondence to: Yueyong Zhu, Department of Liver Research Center, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350001, China. Tel: +86-591-87981656, Fax: +86-591-87982526, E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Journal of Clinical and Translational Hepatology 2019;7(4):341-345 DOI: 10.14218/JCTH.2019.00044
Received: September 6, 2019 Accepted: December 6, 2019 Published online: December 19, 2019

Abstract

Background and Aims: The aim of this study was to investigate the effect(s) of meteorological factors on the prevalence of acute-on-chronic liver failure (ACLF) based on 10-years’ worth of population data.

Methods: We retrospectively collected ACLF case data from January 2007 to December 2016 from three major hospitals in Fuzhou City, China. Climatic data, including rainfall, mean temperature, differences in temperature (delta temperature) and mean humidity for each month were downloaded from the China Climatic Data Service Center. Following data collection, Poisson regression analysis was used to estimate the effect(s) of climatic factors on the risk of the prevalence of ACLF.

Results: The population consisted of a total of 3510 cases, with a mean age of 44.7 ± 14.8 years-old and with 79.8% being male. Upon analyzing the population data, we found a growing trend and seasonal pattern of monthly counts of ACLF-related hospitalization throughout the past decade. Specifically, the primary peak of ACLF prevalence was in January and the secondary peak was in July. Poisson regression showed mean temperature (risk ratio = 0.991, 95%CI = 0.986–0.996) and mean humidity (risk ratio = 1.011, 95%CI = 1.006–1.017) to be independently correlated with the monthly cases of ACLF. The results suggest that every unit increase of mean temperature (1°C) and mean humidity (1%) are associated with 0.991- and 1.011-fold changes of ACLF cases, respectively. Rainfall and delta temperature did not appear to affect the prevalence of this disease.

Conclusions: The hospitalization for ACLF peaks in January and July. Low temperature and high humidity appear to function as factors contributing to this seasonal pattern.

Keywords

Acute-on-chronic liver failure, Seasonal variation, Temperature, Humidity

 

 

 

Journal of Clinical and Translational Hepatology 2019 vol. 7, 341-345  [ Html ] [ PDF Full-text ]

© The Authors 2019. This article is published under the terms of the Creative Commons Attribution-Noncommercial License (CC BY-NC 4.0), which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non-commercial and is otherwise in compliance with the license.

 

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