Association between ambient temperature and chronic rhinosinusitis

被引:5
作者
Du, Runming [1 ]
Jiao, Wangteng [1 ]
Ma, Junxiong [1 ]
Zhou, Qinfeng [1 ]
Liang, Zhi-Sheng [1 ]
Sun, Shengzhi [2 ]
Ahmed, Omar G. [3 ]
Rowan, Nicholas R. [4 ]
Pinto, Jayant M. [5 ]
Ramanathan Jr, Murugappan [4 ]
Zhang, Zhenyu [1 ,6 ]
机构
[1] Peking Univ, Sch Publ Hlth, Dept Global Hlth, 38 Xueyuan Rd, Beijing 100191, Peoples R China
[2] Capital Med Univ, Sch Publ Hlth, Beijing, Peoples R China
[3] Houston Methodist Hosp, Div Rhinol Sinus Sleep & Skull Base Surg, Houston, TX USA
[4] Johns Hopkins Sch Med, Dept Otolaryngol Head & Neck Surg, 601 N Caroline St,JHOC 6263, Baltimore, MD 21287 USA
[5] Univ Chicago, Sect Otolaryngol Head & Neck Surg, Chicago, IL USA
[6] Peking Univ, Inst Global Hlth & Dev, Beijing, Peoples R China
关键词
ambient temperature; chronic rhinosinusitis; distributed lag nonlinear model; matched case-control study; MORTALITY; EPIDEMIOLOGY; SYMPTOMS; EXPOSURE; ASTHMA; NASAL;
D O I
10.1002/alr.23152
中图分类号
R76 [耳鼻咽喉科学];
学科分类号
100213 ;
摘要
BackgroundChronic exposure to particulate matter air pollution (PM2.5) is associated with chronic rhinosinusitis (CRS). Elevated ambient temperature may increase PM2.5 levels and thereby exacerbate sinonasal symptoms. This study investigates the association between high ambient temperature and the risk of CRS diagnosis. MethodsPatients with CRS were diagnosed at Johns Hopkins hospitals from May to October 2013-2022, and controls were matched patients without CRS meanwhile. A total of 4752 patients (2376 cases and 2376 controls) were identified with a mean (SD) age of 51.8 (16.8) years. The effect of maximum ambient temperature on symptoms was estimated with a distributed lag nonlinear model (DLNM). Extreme heat was defined as 35.0 degrees C (95(th) percentile of the maximum temperature distribution). Conditional logistic regression models estimated the association between extreme heat and the risk of CRS diagnosis. ResultsExposure to extreme heat was associated with increased odds of exacerbation of CRS symptoms (odds ratio [OR] 1.11, 95% confidence interval [CI] 1.03-1.19). The cumulative effect of extreme heat during 0-21 lag days was significant (OR 2.37, 95% CI 1.60-3.50) compared with the minimum morbidity temperature (MMT) at 25.3 degrees C. Associations were more pronounced among young and middle-aged patients and patients with abnormal weight. ConclusionsWe found that short-term exposure to high ambient temperature is associated with increased CRS diagnosis, suggesting a cascading effect of meteorological phenomena. These results highlight climate change's potentially deleterious health effects on upper airway diseases, which could have a significant public health impact.
引用
收藏
页码:1906 / 1914
页数:9
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