Division of Gastrointestinal Surgery, Department of Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, South Korea.
Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine and Science, Incheon 21565, South Korea.
World J Gastroenterol. 2020 Oct 21;26(39):6074-6086. doi: 10.3748/wjg.v26.i39.6074.
Gastroesophageal reflux disease (GERD) is a highly prevalent disease of the upper gastrointestinal tract, and it is associated with environmental and lifestyle habits. Due to an increasing interest in the environment, several groups are studying the effects of meteorological factors and air pollutants (MFAPs) on disease development.
To identify MFAPs effect on GERD-related medical utilization.
Data on GERD-related medical utilization from 2002 to 2017 were obtained from the National Health Insurance Service of Korea, while those on MFAPs were obtained from eight metropolitan areas and merged. In total, 20071900 instances of GERD-related medical utilizations were identified, and 200000 MFAPs were randomly selected from the eight metropolitan areas. Data were analyzed using a multivariable generalized additive Poisson regression model to control for time trends, seasonality, and day of the week.
Five MFAPs were selected for the prediction model. GERD-related medical utilization increased with the levels of particulate matter with a diameter ≤ 2.5 μm (PM) and carbon monoxide (CO). S-shaped and inverted U-shaped changes were observed in average temperature and air pollutants, respectively. The time lag of each variable was significant around nine days after exposure.
Using five MFAPs, the final model significantly predicted GERD-related medical utilization. In particular, PM and CO were identified as risk or aggravating factors for GERD.
胃食管反流病(GERD)是一种高发的上消化道疾病,与环境和生活方式习惯有关。由于人们对环境的兴趣日益浓厚,有几个研究小组正在研究气象因素和空气污染物(MFAPs)对疾病发展的影响。
确定 MFAPs 对 GERD 相关医疗利用的影响。
从韩国国家医疗保险服务处获取 2002 年至 2017 年 GERD 相关医疗利用的数据,从 8 个大都市地区获取 MFAPs 数据并进行合并。总共确定了 20071900 例 GERD 相关医疗利用实例,并从 8 个大都市地区随机选择了 200000 个 MFAPs。使用多变量广义加性泊松回归模型分析数据,以控制时间趋势、季节性和星期几的影响。
选择了 5 种 MFAPs 用于预测模型。GERD 相关医疗利用随着细颗粒物(PM)和一氧化碳(CO)的水平增加而增加。平均温度和空气污染物分别呈 S 型和倒 U 型变化。暴露后,每个变量的时间滞后均在 9 天左右。
使用 5 种 MFAPs,最终模型可以显著预测 GERD 相关医疗利用。特别是 PM 和 CO 被确定为 GERD 的风险或加重因素。