Zhao CN, et al. - A distributed lag non-linear model combined with quasi-Poisson generalized linear regression on a total of 546 hospital admissions during 2015–2017, was done in order to assess the impacts of air pollutants on SLE hospital admissions in Bengbu, China, from 2015 to 2017. For single-day lag structures, the risk impacts occurred from lag 2 to lag 9 and lag 3 to lag 9 for the 75th percentile particulate matter (PM)_2.5 and the 80th percentile PM_2.5, respectively. For cumulative lag structures, with no important impact noted for 90th PM_2.5, the risk impacts occurred from lag 0–5 to lag 0–14 for both 75th PM_2.5 and 80th PM_2.5. Moreover, from lag 0 to lag 1 for NO₂ and lag 1 to lag 2 for SO₂, the occurrence of the adverse events on SLE first admissions was seen. The maximum impact and the minimum effect value of PM_2.5 on SLE was 4.27 at lag 0–13 day and 1.12 at lag day 9, respectively. Hence, findings show that high PM_2.5, NO₂ and SO₂ are related to SLE hospital admissions. Furthermore, additionally , this study showed that exposure to the high concentration of PM_2.5 raised the risk of SLE relapse, whereas high levels of NO₂ and SO₂ rose the risk of SLE first admissions.