• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

考虑时间依赖性药物调整时,颗粒物暴露对糖尿病肾病患者的长期影响。

Long-term impact of PM exposure on diabetic kidney disease patients considering time-dependent medication adjustment.

作者信息

Kwon Soie, Sim Hyunman, Ko Ara, Lee Whanhee, Kim Ho, Han Seung Hyun, Hwang Hyeon Seok, Kim Dong Ki, Lim Chun Soo, Kim Yon Su, Lee Jung Pyo, Lee Woojoo

机构信息

Department of Internal Medicine, Chung-Ang University Seoul Hospital, Seoul, Republic of Korea.

Department of Internal Medicine, Chung-Ang University, Seoul, Republic of Korea.

出版信息

Clin Kidney J. 2025 Jul 9;18(7):sfaf216. doi: 10.1093/ckj/sfaf216. eCollection 2025 Jul.

DOI:10.1093/ckj/sfaf216
PMID:40747240
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12311423/
Abstract

BACKGROUND

Ambient air pollutants adversely affect renal function and increase type 2 diabetes incidence. However, the impact of air pollution on diabetic kidney disease (DKD) patients remains underexplored, with limited consideration of medication-related effects. We assessed the influence of air pollutants on DKD patients while meticulously adjusting for medication use.

METHODS

We retrospectively enrolled DKD patients. Primary and secondary outcomes included end-stage kidney disease (ESKD) and a composite (ESKD and mortality). Nationwide forecasted ultra-high-resolution air pollutant data [2.5-μm particulate matter (PM), 10-μm particulate matter (PM), nitrogen dioxide (NO), carbon monoxide (CO)] were obtained from the Ai-Machine learning Statistics Collaborative Research Ensemble for Air pollution, Temperature, and all types of Environmental exposures (AiMS-CREATE). Monthly updated ambient air pollutants and medication prescription information were considered time-varying variables in multivariable time-dependent Cox analyses.

RESULTS

Patients ( = 9482) were followed for a median of 9 (ESKD) and 11 (composite outcome) years; 20.6% progressed to ESKD and 46.7% experienced composite outcomes. The DKD-stage patient distribution was 12.5% (stage 1-2), 35.8% (stage 3) and 51.6% (stage 4-5). Initial renin-angiotensin system blocker use increased from 37.4% to 58.5% during year 1 then gradually decreased. During follow-up, all four air pollutant concentrations significantly decreased, with CO exhibiting the most pronounced decline. The 1-month lagged PM exposure (Lag1_PM) was significantly associated with higher ESKD progression risk {adjusted hazard ratio [aHR] 1.28 [95% confidence interval (CI) 1.085-1.508]}, whereas PM itself showed no significance [aHR 1.05 (95% CI 0.872-1.260)]. Both exposures increased the composite outcome risk (PM aHR 1.16 Lag1_PM aHR 1.15). PM and Lag1_PM showed no significant associations with either ESKD progression or composite outcomes. NO exposure increased ESKD progression risk but was not associated with composite outcomes.

CONCLUSION

Even after comprehensive medication use adjustment, higher PM exposure was independently associated with an increased risk of ESKD progression and composite outcome in DKD patients.

摘要

背景

环境空气污染物会对肾功能产生不利影响,并增加2型糖尿病的发病率。然而,空气污染对糖尿病肾病(DKD)患者的影响仍未得到充分研究,对药物相关影响的考虑也有限。我们在仔细调整药物使用情况的同时,评估了空气污染物对DKD患者的影响。

方法

我们回顾性纳入了DKD患者。主要和次要结局包括终末期肾病(ESKD)以及一个综合结局(ESKD和死亡率)。从空气污染、温度及所有类型环境暴露的人工智能机器学习统计协作研究集成(AiMS-CREATE)中获取了全国范围预测的超高分辨率空气污染物数据[2.5微米颗粒物(PM)、10微米颗粒物(PM)、二氧化氮(NO)、一氧化碳(CO)]。在多变量时间依赖性Cox分析中,每月更新的环境空气污染物和药物处方信息被视为随时间变化的变量。

结果

对9482例患者进行了中位数为9年(ESKD)和11年(综合结局)的随访;20.6%的患者进展为ESKD,46.7%的患者出现综合结局。DKD分期患者分布为12.5%(1-2期)、35.8%(3期)和51.6%(4-5期)。初始使用肾素-血管紧张素系统阻滞剂的比例在第1年从37.4%增加到58.5%,然后逐渐下降。在随访期间,所有四种空气污染物浓度均显著下降,其中CO下降最为明显。滞后1个月的PM暴露(Lag1_PM)与ESKD进展风险较高显著相关{调整后风险比[aHR]为1.28[95%置信区间(CI)为1.085-1.508]},而PM本身无显著意义[aHR为1.05(95%CI为0.872-1.260)]。两种暴露均增加了综合结局风险(PM的aHR为1.16,Lag1_PM的aHR为1.15)。PM和Lag1_PM与ESKD进展或综合结局均无显著关联。NO暴露增加了ESKD进展风险,但与综合结局无关。

结论

即使在全面调整药物使用后,较高的PM暴露仍与DKD患者ESKD进展风险和综合结局增加独立相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b999/12311423/c528827e91d7/sfaf216fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b999/12311423/c528827e91d7/sfaf216fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b999/12311423/c528827e91d7/sfaf216fig1.jpg

相似文献

1
Long-term impact of PM exposure on diabetic kidney disease patients considering time-dependent medication adjustment.考虑时间依赖性药物调整时,颗粒物暴露对糖尿病肾病患者的长期影响。
Clin Kidney J. 2025 Jul 9;18(7):sfaf216. doi: 10.1093/ckj/sfaf216. eCollection 2025 Jul.
2
Analysis of the effects of air pollutants and meteorological factors on upper respiratory tract infection outpatients in Gansu Province.甘肃省空气污染物及气象因素对上呼吸道感染门诊患者的影响分析
Environ Sci Process Impacts. 2025 Jul 21. doi: 10.1039/d4em00748d.
3
COPD Exacerbations, Air Pollutant Fluctuations, and Individual-Level Factors in the Pandemic Era.大流行时代的慢性阻塞性肺疾病急性加重、空气污染物波动及个体层面因素
Int J Chron Obstruct Pulmon Dis. 2025 Mar 17;20:735-751. doi: 10.2147/COPD.S498088. eCollection 2025.
4
Vitamin B and its derivatives for diabetic kidney disease.用于治疗糖尿病肾病的维生素B及其衍生物
Cochrane Database Syst Rev. 2015 Jan 12;1(1):CD009403. doi: 10.1002/14651858.CD009403.pub2.
5
Long-Term Air Pollution Exposure and Severity of Idiopathic Pulmonary Fibrosis: Data from the Idiopathic Pulmonary Fibrosis Prospective Outcomes (IPF-PRO) Registry.长期暴露于空气污染与特发性肺纤维化的严重程度:来自特发性肺纤维化前瞻性结局(IPF-PRO)注册研究的数据。
Ann Am Thorac Soc. 2025 Mar;22(3):378-386. doi: 10.1513/AnnalsATS.202404-382OC.
6
Pentoxifylline for diabetic kidney disease.己酮可可碱用于治疗糖尿病肾病。
Cochrane Database Syst Rev. 2012 Feb 15;2012(2):CD006800. doi: 10.1002/14651858.CD006800.pub2.
7
Investigating the Consequences of Measurement Error of Gradually More Sophisticated Long-Term Personal Exposure Models in Assessing Health Effects: The London Study (MELONS).探究在评估健康影响时,日益复杂的长期个人暴露模型的测量误差所产生的后果:伦敦研究(MELONS)。
Res Rep Health Eff Inst. 2025 May;2025(227):1-78.
8
Effect of Air Pollution Reductions on Mortality During the COVID-19 Lockdowns in Early 2020.2020年初新冠疫情封锁期间空气污染减少对死亡率的影响
Res Rep Health Eff Inst. 2025 Mar(224):1-47.
9
Associations between life course exposure to ambient air pollution with cognition and later-life brain structure: a population-based study of the 1946 British Birth Cohort.生命历程中暴露于环境空气污染与认知及晚年脑结构之间的关联:基于1946年英国出生队列的一项人群研究。
Lancet Healthy Longev. 2025 Jul 16:100724. doi: 10.1016/j.lanhl.2025.100724.
10
Immunosuppressive treatment for idiopathic membranous nephropathy in adults with nephrotic syndrome.成人肾病综合征特发性膜性肾病的免疫抑制治疗
Cochrane Database Syst Rev. 2014 Oct 16;2014(10):CD004293. doi: 10.1002/14651858.CD004293.pub3.

本文引用的文献

1
The burden of chronic kidney disease in Asia region: a review of the evidence, current challenges, and future directions.亚洲地区慢性肾脏病的负担:证据综述、当前挑战及未来方向
Kidney Res Clin Pract. 2025 May;44(3):411-433. doi: 10.23876/j.krcp.23.194. Epub 2024 Sep 9.
2
Air pollution can affect kidney disease? Scientific evidence from epidemiology to experimental studies.空气污染会影响肾脏疾病?从流行病学研究到实验研究的科学证据。
Kidney Res Clin Pract. 2024 Sep;43(5):559-561. doi: 10.23876/j.krcp.24.103. Epub 2024 Aug 12.
3
The pathophysiological and molecular mechanisms of atmospheric PM affecting cardiovascular health: A review.
大气 PM 影响心血管健康的病理生理和分子机制:综述。
Ecotoxicol Environ Saf. 2023 Jan 1;249:114444. doi: 10.1016/j.ecoenv.2022.114444. Epub 2022 Dec 21.
4
Particulate matters (PM, PM) and the risk of depression among middle-aged and older population: analysis of the Korean Longitudinal Study of Aging (KLoSA), 2016-2020 in South Korea.颗粒物(PM,PM)与中老年人群抑郁症风险:韩国 2016-2020 年老龄化纵向研究(KLoSA)分析。
Environ Health. 2024 Jan 3;23(1):4. doi: 10.1186/s12940-023-01043-1.
5
Long-term exposure to ambient air pollutants and increased risk of end-stage renal disease in patients with type 2 diabetes mellitus and chronic kidney disease: a retrospective cohort study in Beijing, China.长期暴露于环境空气污染物与 2 型糖尿病合并慢性肾脏病患者终末期肾病风险增加的相关性:一项来自中国北京的回顾性队列研究。
Environ Sci Pollut Res Int. 2024 Jan;31(4):5429-5443. doi: 10.1007/s11356-023-31346-2. Epub 2023 Dec 20.
6
Association between long-term PM exposure and risk of Kawasaki disease in children: A nationwide longitudinal cohort study.长期 PM 暴露与儿童川崎病风险的关联:一项全国性纵向队列研究。
Environ Res. 2024 Mar 1;244:117823. doi: 10.1016/j.envres.2023.117823. Epub 2023 Dec 9.
7
PM exposure aggravates kidney damage by facilitating the lipid metabolism disorder in diabetic mice.PM 暴露通过促进糖尿病小鼠的脂质代谢紊乱加重肾脏损伤。
PeerJ. 2023 Sep 1;11:e15856. doi: 10.7717/peerj.15856. eCollection 2023.
8
Association of long-term exposure to air pollution with chronic sleep deprivation in South Korea: A community-level longitudinal study, 2008-2018.长期暴露于空气污染与韩国慢性睡眠剥夺的关联:2008-2018 年的社区水平纵向研究。
Environ Res. 2023 Jul 1;228:115812. doi: 10.1016/j.envres.2023.115812. Epub 2023 Apr 6.
9
Associations between long term air pollution exposure and first hospital admission for kidney and total urinary system diseases in the US Medicare population: nationwide longitudinal cohort study.美国医疗保险人群长期空气污染暴露与肾脏及整个泌尿系统疾病首次住院治疗之间的关联:全国性纵向队列研究
BMJ Med. 2022 Apr 12;1(1):e000009. doi: 10.1136/bmjmed-2021-000009. eCollection 2022.
10
Global estimates of daily ambient fine particulate matter concentrations and unequal spatiotemporal distribution of population exposure: a machine learning modelling study.全球每日环境细颗粒物浓度估计值及其人口暴露的不平等时空分布:机器学习建模研究。
Lancet Planet Health. 2023 Mar;7(3):e209-e218. doi: 10.1016/S2542-5196(23)00008-6.