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A total of 494 AAD patients\u2019 data from 2013 to 2016 were analyzed. The results showed that AAD had the strongest associations with [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text] on the day before an AAD incident (lag1) and with [Formula: see text] two days before an incident (lag2) in single-pollutant model. In the three-pollutant model, [Formula: see text] was associated with the highest risk of adverse effects (RR = 1.37, 95% CI: 1.22, 1.53), whereas [Formula: see text] was associated with the lowest risk (RR = .83, 95% CI: .79, .88). Both [Formula: see text] and [Formula: see text] were affected by season, and [Formula: see text] was significantly different between heating and non-heating seasons as well. This study revealed significant associations between short-term [Formula: see text], [Formula: see text], and [Formula: see text] exposure and daily AAD incidence, showing that [Formula: see text] and [Formula: see text] were strong predictors of AAD incidence in a moderately polluted area.<\/jats:p>","DOI":"10.1177\/00469580211065691","type":"journal-article","created":{"date-parts":[[2021,12,28]],"date-time":"2021-12-28T03:48:55Z","timestamp":1640663335000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":10,"title":["Examining the Relationships Between Air Pollutants and the Incidence of Acute Aortic Dissection with Electronic Medical Data in a Moderately Polluted Area of Northwest China"],"prefix":"10.1177","volume":"58","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4373-8000","authenticated-orcid":false,"given":"Qingnan","family":"Wang","sequence":"first","affiliation":[{"name":"Xi\u2019an Jiaotong 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