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Association of antibiotic use with risk of lung cancer: A nationwide cohort study

医学 肺癌 比例危险模型 危险系数 抗生素 内科学 回顾性队列研究 队列 药方 队列研究 人口 置信区间 外科 环境卫生 药理学 微生物学 生物
作者
Minseo Kim,Sun Jae Park,Seulggie Choi,Seogsong Jeong,Jooyoung Chang,Young Jun Park,Joung Sik Son,Ji Soo Kim,Yoosun Cho,Yun Hwan Oh,Ahryoung Ko,Sang Min Park
出处
期刊:Journal of Infection and Public Health [Elsevier BV]
卷期号:16 (7): 1123-1130 被引量:4
标识
DOI:10.1016/j.jiph.2023.05.006
摘要

Although recent studies indicated that antibiotics may be a risk factor for lung cancer, further understanding is needed. We investigated the association of long-term antibiotic exposure with lung cancer risk.This population-based retrospective cohort study investigated 6,214,926 participants aged ≥ 40 years who underwent health screening examinations (2005-2006) from the Korean National Health Insurance Service database. The date of the final follow-up was December 31, 2019. Exposures were the cumulative days of antibiotics prescription and the number of antibiotics classes. The adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for lung cancer risk according to antibiotic use were assessed using multivariable Cox proportional hazards regression.Compared with the antibiotic non-user group, participants with ≥ 365 days of antibiotics prescribed had a significantly increased risk of lung cancer (aHR, 1.21; 95% CI, 1.16-1.26). Participants with ≥ 365 days of antibiotics prescribed also had a significantly increased risk of lung cancer (aHR, 1.21; 95% CI, 1.17-1.24) than 1-14 days of the antibiotic user group. The results were also consistent in competing risk analyses and adjusted Cox regression models that fitted restricted cubic spline. Compared with the antibiotic non-user group, ≥ 5 antibiotic classes prescribed group had a higher lung cancer risk (aHR, 1.15; 95% CI, 1.10-1.21).The long-term cumulative days of antibiotic use and the increasing number of antibiotics classes were associated with an increased risk of lung cancer in a clear duration-dependent manner after adjusting for various risk factors.
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