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大气污染与中国特定病因住院风险的关系:一项全国时间序列研究。

Ambient air pollution and cause-specific risk of hospital admission in China: A nationwide time-series study.

机构信息

Center for Big Data Research in Health and Medicine, Institute for Data Sciences, Tsinghua University, Beijing, China.

Tsinghua-Fuzhou Institute of Digital Technology, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China.

出版信息

PLoS Med. 2020 Aug 6;17(8):e1003188. doi: 10.1371/journal.pmed.1003188. eCollection 2020 Aug.

Abstract

BACKGROUND

The impacts of air pollution on circulatory and respiratory systems have been extensively studied. However, the associations between air pollution exposure and the risk of noncommunicable diseases of other organ systems, including diseases of the digestive, musculoskeletal, and genitourinary systems, remain unclear or inconclusive. We aimed to systematically assess the associations between short-term exposure to main air pollutants (fine particulate matter [PM2.5] and ozone) and cause-specific risk of hospital admission in China over a wide spectrum of human diseases.

METHODS AND FINDINGS

Daily data on hospital admissions for primary diagnosis of 14 major and 188 minor disease categories in 252 Chinese cities (107 cities in North China and 145 cities in South China) from January 1, 2013, to December 31, 2017, were obtained from the Hospital Quality Monitoring System of China (covering 387 hospitals in North China and 614 hospitals in South China). We applied a 2-stage analytic approach to assess the associations between air pollution and daily hospital admissions. City-specific associations were estimated with quasi-Poisson regression models and then pooled by random-effects meta-analyses. Each disease category was analyzed separately, and the P values were adjusted for multiple comparisons. A total of 117,338,867 hospital admissions were recorded in the study period. Overall, 51.7% of the hospitalized cases were male, and 71.3% were aged <65 years. Robust positive associations were found between short-term PM2.5 exposure and hospital admissions for 7 major disease categories: (1) endocrine, nutritional, and metabolic diseases; (2) nervous diseases; (3) circulatory diseases; (4) respiratory diseases; (5) digestive diseases; (6) musculoskeletal and connective tissue diseases; and (7) genitourinary diseases. For example, a 10-μg/m3 increase in PM2.5 was associated with a 0.21% (95% CI 0.15% to 0.27%; adjusted P < 0.001) increase in hospital admissions for diseases of the digestive system on the same day in 2-pollutant models (adjusting for ozone). There were 35 minor disease categories significantly positively associated with same-day PM2.5 in both single- and 2-pollutant models, including diabetes mellitus, anemia, intestinal infection, liver diseases, gastrointestinal hemorrhage, renal failure, urinary tract calculus, chronic ulcer of skin, and back problems. The association between short-term ozone exposure and respiratory diseases was robust. No safety threshold in the exposure-response relationships between PM2.5 and hospital admissions was observed. The main limitations of the present study included the unavailability of data on personal air pollution exposures.

CONCLUSIONS

In the Chinese population during 2013-2017, short-term exposure to air pollution, especially PM2.5, was associated with increased risk of hospitalization for diseases of multiple organ systems, including certain diseases of the digestive, musculoskeletal, and genitourinary systems; many of these associations are important but still not fully recognized. The effect estimates and exposure-response relationships can inform policy making aimed at protecting public health from air pollution in China.

摘要

背景

空气污染对循环和呼吸系统的影响已得到广泛研究。然而,暴露于空气污染与其他器官系统的非传染性疾病(包括消化系统、肌肉骨骼系统和生殖泌尿系统疾病)的风险之间的关联仍不清楚或尚无定论。我们旨在系统评估主要空气污染物(细颗粒物[PM2.5]和臭氧)短期暴露与中国广泛的各种人类疾病的特定病因住院风险之间的关系。

方法和发现

我们从 2013 年 1 月 1 日至 2017 年 12 月 31 日从中国医院质量监测系统(涵盖华北地区 387 家医院和华南地区 614 家医院)获得了中国 252 个城市(华北地区 107 个城市和华南地区 145 个城市)主要诊断为 14 种主要疾病和 188 种次要疾病类别的每日住院数据。我们采用两阶段分析方法来评估空气污染与每日住院人数之间的关系。采用拟泊松回归模型估计城市特定的关联,然后通过随机效应荟萃分析进行汇总。分别分析每个疾病类别,并调整了多重比较的 P 值。研究期间共记录了 117338867 例住院病例。总体而言,51.7%的住院病例为男性,71.3%的年龄<65 岁。PM2.5 短期暴露与 7 种主要疾病类别的住院人数之间存在稳健的正相关:(1)内分泌、营养和代谢疾病;(2)神经疾病;(3)循环系统疾病;(4)呼吸系统疾病;(5)消化系统疾病;(6)肌肉骨骼和结缔组织疾病;(7)生殖泌尿系统疾病。例如,在双污染物模型中(臭氧调整),PM2.5 每增加 10μg/m3,与消化系统疾病的住院人数同日增加 0.21%(95%CI 0.15%至 0.27%;调整后 P<0.001)。在单污染物和双污染物模型中,有 35 个次要疾病类别与 PM2.5 呈显著正相关,包括糖尿病、贫血、肠道感染、肝病、胃肠道出血、肾衰竭、尿路结石、慢性皮肤溃疡和背部问题。臭氧短期暴露与呼吸系统疾病之间的关联是稳健的。在 PM2.5 与住院人数之间的暴露-反应关系中,没有观察到安全阈值。本研究的主要局限性包括缺乏个人空气污染暴露数据。

结论

在中国 2013-2017 年期间,短期暴露于空气污染,特别是 PM2.5,与多种器官系统疾病的住院风险增加有关,包括某些消化系统、肌肉骨骼和生殖泌尿系统疾病;其中许多关联很重要,但尚未得到充分认识。效应估计和暴露-反应关系可以为旨在保护中国公众健康免受空气污染的政策制定提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c74/7410211/c3096f3739b1/pmed.1003188.g001.jpg

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