PMID- 38123768
OWN - NLM
STAT- MEDLINE
DCOM- 20240122
LR  - 20240202
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Print)
IS  - 0944-1344 (Linking)
VI  - 31
IP  - 4
DP  - 2024 Jan
TI  - 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.
PG  - 5429-5443
LID - 10.1007/s11356-023-31346-2 [doi]
AB  - Limited data have examined the association between air pollution and the risk of 
      end-stage renal disease (ESRD) in patients with type 2 diabetes mellitus (T2DM) 
      and chronic kidney disease (CKD). We aimed to investigate whether long-term 
      exposure to air pollutants is related to the development of ESRD among patients 
      with T2DM and CKD. A total of 1,738 patients with T2DM and CKD hospitalized in 
      Peking University Third Hospital from January 1, 2013, to December 31, 2021 were 
      enrolled in this study. The outcome was defined as the occurrence of ESRD. Data 
      on six air pollutants (PM(2.5), PM(10), CO, NO(2), SO(2,) and O(3)) from 35 
      monitoring stations were obtained from the Beijing Municipal Ecological and 
      Environmental Monitoring Center. Long-term exposure to air pollutants during the 
      follow-up period was measured using the ordinary Kriging method. During a mean 
      follow-up of 41 months, 98 patients developed ESRD. Multivariate logistic 
      regression analysis showed that an increase of 10 mug/m(3) in PM(2.5) (odds ratio 
      [OR] 1.19, 95% confidence interval [CI] 1.03-1.36) and PM(10) (OR 1.15, 95% CI 
      1.02-1.30) concentration were positively associated with ESRD. An increase of 
      1 mg/m(3) in CO (2.80, 1.05-7.48) and an increase of 1 mug/m(3) in SO(2) (1.06, 
      1.00-1.13) concentration were also positively associated with ESRD. Apart from 
      O(3) and NO(2), all the above air pollutants have additional predictive value for 
      ESRD in patients with T2DM and CKD. The results of Bayesian kernel machine 
      regression and the weighted quantile sum regression all showed that PM(2.5) was 
      the most important air pollutant. Backward stepwise logistic regression showed 
      that PM(2.5) was the only pollutant remaining in the prediction model. In 
      patients with T2DM and CKD, long-term exposure to ambient PM(2.5), PM(10), CO, 
      and SO(2) was positively associated with the development of ESRD.
CI  - (c) 2023. The Author(s).
FAU - Shang, Zhi
AU  - Shang Z
AD  - Department of Cardiology and Institute of Vascular Medicine, Peking University 
      Third Hospital, Beijing, 100191, China.
AD  - State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, 
      Beijing, China.
AD  - NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, 
      Peking University, Beijing, China.
AD  - Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, 100191, 
      China.
FAU - Gao, Yue-Ming
AU  - Gao YM
AD  - Department of Nephrology, Peking University Third Hospital, 49 Huayuan North 
      Road, Haidian District, Beijing, 100191, China.
FAU - Deng, Zhen-Ling
AU  - Deng ZL
AD  - Department of Nephrology, Peking University Third Hospital, 49 Huayuan North 
      Road, Haidian District, Beijing, 100191, China.
FAU - Wang, Yue
AU  - Wang Y
AD  - Department of Nephrology, Peking University Third Hospital, 49 Huayuan North 
      Road, Haidian District, Beijing, 100191, China. bjwangyue@sina.com.
LA  - eng
GR  - Grant number 82070736/National Natural Science Foundation of China/
PT  - Journal Article
DEP - 20231220
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
RN  - 0 (Air Pollutants)
RN  - 0 (Environmental Pollutants)
RN  - S7G510RUBH (Nitrogen Dioxide)
RN  - 0 (Particulate Matter)
SB  - IM
MH  - Humans
MH  - *Air Pollutants/analysis
MH  - Beijing/epidemiology
MH  - *Environmental Pollutants/analysis
MH  - *Diabetes Mellitus, Type 2/epidemiology/chemically induced
MH  - Retrospective Studies
MH  - Bayes Theorem
MH  - Nitrogen Dioxide/analysis
MH  - Environmental Exposure/analysis
MH  - *Air Pollution/analysis
MH  - *Kidney Failure, Chronic/chemically induced/epidemiology
MH  - China/epidemiology
MH  - Particulate Matter/analysis
PMC - PMC10799089
OTO - NOTNLM
OT  - Air pollution
OT  - Chronic kidney disease
OT  - Cohort
OT  - End-stage renal disease
OT  - Long-term exposure
OT  - Type 2 diabetes mellitus
COIS- The authors have no relevant financial or non-financial interests to disclose.
EDAT- 2023/12/21 00:41
MHDA- 2024/01/22 06:42
PMCR- 2023/12/20
CRDT- 2023/12/20 23:41
PHST- 2023/07/18 00:00 [received]
PHST- 2023/11/30 00:00 [accepted]
PHST- 2024/01/22 06:42 [medline]
PHST- 2023/12/21 00:41 [pubmed]
PHST- 2023/12/20 23:41 [entrez]
PHST- 2023/12/20 00:00 [pmc-release]
AID - 10.1007/s11356-023-31346-2 [pii]
AID - 31346 [pii]
AID - 10.1007/s11356-023-31346-2 [doi]
PST - ppublish
SO  - Environ Sci Pollut Res Int. 2024 Jan;31(4):5429-5443. doi: 
      10.1007/s11356-023-31346-2. Epub 2023 Dec 20.