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Associations between particulate matter air pollutants and hospitalization risk for systemic lupus erythematosus: a time-series study from Xi’an, China

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Abstract

Air pollution exposure is an important environmental risk factor involved in the development of systemic lupus erythematosus (SLE). This study was conducted to investigate the relationships between particulate matter (PM) air pollutants exposure and the risk of SLE admission in Xi’an, China. The records of SLE admission, air pollutants and meteorological data were retrieved from the First Affiliated Hospital of Xi’an Jiaotong University, the Xi’an Environmental Monitoring Station and China Meteorological Data Network, respectively. A distributed lagged nonlinear model combined with Poisson generalized linear regression was used to evaluate the effect of air pollution on SLE admission. Exposure–response curves showed positive associations of PM ≤ 2.5 (PM2.5) and 10 microns (PM10) in aerodynamic diameter exposures with the risk of SLE admission. Subgroup analyses showed that PM2.5 exposure was associated with the increased risk of SLE admission in women, age over 65 years old, and during the cold season, and PM10 exposure showed an increased risk of SLE in women and during the cold season, but additional tests did not observe the significant associations of PM2.5 and PM10 exposure with SLE admission between subgroups. In addition, null associations of carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3), and sulfur dioxide (SO2) with the risk of SLE admission were found. Our study indicates that PM2.5 and PM10 exposures have significant effects on the risk of SLE admission, and early measures should be taken for high PM2.5 and PM10 exposure to protect vulnerable populations, rational use of limited health care resources.

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The data and material that support the findings of this study are available upon reasonable request.

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Acknowledgements

The authors are grateful to the National Natural Science Foundation of China, Anhui Provincial Natural Science Foundation, Research Fund of Anhui Institute of Translational Medicine, Natural Science Foundation of Anhui Medical University and Postgraduate Innovation Research and Practice Program of Anhui Medical University for funding support.

Funding

This study was funded by grants from the National Natural Science Foundation of China (81872687, 82103932), Anhui Provincial Natural Science Foundation (2108085Y26, 2108085QH361), Research Fund of Anhui Institute of Translational Medicine (2021zhyx-B04) and Natural Science Foundation of Anhui Medical University (2020xkj0), Postgraduate Innovation Research and Practice Program of Anhui Medical University (YJS20210286).

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Authors

Contributions

HP, PW and JN conceived of the presented idea. YF, YC and RZ developed the theory and performed the computations. XF, YZ and LJ verified the analytical methods. YP, and YF drafted the manuscript. All authors discussed the results and contributed to the final manuscript.

Corresponding authors

Correspondence to Peng Wang or Hai-Feng Pan.

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The authors declare that they have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript.

Ethical approval

This study was approved by the Medical Ethics Committee of Anhui Medical University and the First Affiliated Hospital of Xi’an Jiaotong University.

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Supplementary Information

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10653_2022_1409_MOESM1_ESM.jpg

Figure S1 Spearman's correlation coefficients between the different meteorological factors and air pollutants (JPG 199 KB)

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Figure S2 Concentration-response relationship curves between PM2.5 and PM10 exposure levels and daily hospitalization in patients admitted with SLE (JPG 61 KB)

Figure S3 Time series of PM2.5, PM10 and PM2.5/PM10 during cold season in Xi'an from 2014 to 2020 (JPG 113 KB)

Figure S4 Time series of PM2.5, PM10 and PM2.5/PM10 during warm season in Xi'an from 2014 to 2020 (JPG 251 KB)

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Figure S5 Concentration-response relationship curves between CO, NO2, O3, SO2 exposure levels and daily hospitalization in patients admitted with SLE (JPG 309 KB)

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Figure S6 The single-day association between an increase of IQR of PM2.5 and SLE admissions was increased when varying the degrees of freedom of SO2, humidity, NO2, average temperature, wind speed (3-5dfs) and time of df (6-8dfs/year) (JPG 251 KB)

10653_2022_1409_MOESM7_ESM.jpg

Figure S7 Single-day association between an increase of IQR of PM10 and SLE admissions when varying CO, humidity, NO2, O3, average temperature, wind speed of freedom (3-5dfs) and time of df (6-8dfs/year) (JPG 309 KB)

10653_2022_1409_MOESM8_ESM.docx

Table S1 The association between an increase of every IQR μg/m3 of PM2.5 and SLE outpatients in different subgroups and season (RR and 95% CI) (DOCX 23 KB)

10653_2022_1409_MOESM9_ESM.docx

Table S2 The association between an increase of every IQR μg/m3 of PM10 and SLE outpatients in different subgroups and season (RR and 95% CI) (DOCX 23 KB)

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Pan, Y., Fang, Y., Chen, Y. et al. Associations between particulate matter air pollutants and hospitalization risk for systemic lupus erythematosus: a time-series study from Xi’an, China. Environ Geochem Health 45, 3317–3330 (2023). https://doi.org/10.1007/s10653-022-01409-3

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