Short‐Term Exposure to Air Pollution and Epiglottitis: A Nested Case–Control Study

Kim, So Young; Min, Chanyang; Yoo, Dae Myoung; Park, Bumjung; Choi, Hyo Geun

doi:10.1002/lary.29560

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…Through this mechanism, sunlight may have a protective effect on the occurrence of respiratory infections, which is consistent with our results. Air pollutants are also known to weaken the body’s defense against pathogens, which has been reported in South Korea [ 26 , 27 ]. Exposure to air pollutants results in free radicals in the respiratory tract.…”

Section: Discussionmentioning

confidence: 99%

Machine Learning Models for Predicting the Occurrence of Respiratory Diseases Using Climatic and Air-Pollution Factors

Kwon

Yoon

et al. 2022

Clin Exp Otorhinolaryngol

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Objectives. Because climatic and air-pollution factors are known to influence the occurrence of respiratory diseases, we used these factors to develop machine learning models for predicting the occurrence of respiratory diseases.Methods. We obtained the daily number of respiratory disease patients in Seoul. We used climatic and air-pollution factors to predict the daily number of patients treated for respiratory diseases per 10,000 inhabitants. We applied the reliefbased feature selection algorithm to evaluate the importance of feature selection. We used the gradient boosting and Gaussian process regression (GPR) methods, respectively, to develop two different prediction models. We also employed the holdout cross-validation method, in which 75% of the data was used to train the model, and the remaining 25% was used to test the trained model. We determined the estimated number of respiratory disease patients by applying the developed prediction models to the test set. To evaluate the performance of each model, we calculated the coefficient of determination (R 2 ) and the root mean square error (RMSE) between the original and estimated numbers of respiratory disease patients. We used the Shapley Additive exPlanations (SHAP) approach to interpret the estimated output of each machine learning model. Results.Features with negative weights in the relief-based algorithm were excluded. When applying gradient boosting to unseen test data, R 2 and RMSE were 0.68 and 13.8, respectively. For GPR, the R 2 and RMSE were 0.67 and 13.9, respectively. SHAP analysis showed that reductions in average temperature, daylight duration, average humidity, sulfur dioxide (SO2), total solar insolation amount, and temperature difference increased the number of respiratory disease patients, whereas increases in atmospheric pressure, carbon monoxide (CO), and particulate matter ≤2.5 µm in aerodynamic diameter (PM2.5) increased the number of respiratory disease patients.Conclusions. We successfully developed models for predicting the occurrence of respiratory diseases using climatic and airpollution factors. These models could evolve into public warning systems.

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Section: Discussionmentioning

confidence: 99%

Machine Learning Models for Predicting the Occurrence of Respiratory Diseases Using Climatic and Air-Pollution Factors

Kwon

Yoon

et al. 2022

Clin Exp Otorhinolaryngol

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“…A recent study has shown a positive correlation between the occurrence of AE and exposure to nitrogen dioxide, a consequence of air pollution. 22 Even during the COVID-19 pandemic of 2020-2021, epidemic prevention and control measures, such as city lockdowns, maintaining social distancing, and wearing masks, had little impact on the incidence of AE. The low number of patients hospitalized on Sundays in this study may be attributed to the fact that people travel during weekends and cannot promptly seek medical treatment.…”

Section: Discussionmentioning

confidence: 99%

Rising Incidence of Acute Epiglottitis in Eastern China: An Eight-Year Retrospective Study and Its Association with the 24 Solar Terms

Lu,

Wang,

Miao

et al. 2024

IJGM

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This study aimed to investigate the clinical characteristics of acute epiglottitis (AE) patients in East China and examine the correlation between the incidence of AE and the 24 solar terms (24 STs). Methods: A retrospective, observational study was conducted on patients diagnosed with AE between January 2014 and December 2021 at a single-center medical institution in East China. The clinical characteristics of patients with AE and their correlation with the 24 STs were investigated. Results: A total of 287 patients with AE were included in this study, among which there were 179 males (62.37%) and 108 females (37.63%), with a mean age of 47.79 ± 13.83 years (range 16-87 years). Of these patients, 100 (34.84%) had at least one comorbidity and the most common comorbidities were hypertension, smoking and type 2 diabetes. The duration of hospitalization was 3 days (IQR, 1-16 days). All patients, except for one who required tracheal intubation, were cured with intravenous antibiotic administration and the combined use of corticosteroids. The incidence of AE showed significant fluctuations between the 24 STs and the highest number of cases occurred during the Summer solstice (24 cases, 8.36%). Conclusion:The incidence of AE was seen to increase annually in this study. The main features of AE are sore throat, dysphagia, odynophagia and fever, which may be accompanied by inflammation in surrounding areas. A clear correlation exists between the incidence of AE and the fluctuations within the 24 STs, notably with the peak incidence observed during the Summer solstice, which approximately corresponds to June 21 to July 7 in the Gregorian calendar.

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Epidemiology, presentation, management and outcomes of patients with acute epiglottitis - A 10-year retrospective study based on a tertiary hospital in northern China

Fan,

Qiao,

Shi

et al. 2024

Eur Arch Otorhinolaryngol

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Short‐Term Exposure to Air Pollution and Epiglottitis: A Nested Case–Control Study

Cited by 3 publications

References 29 publications

Machine Learning Models for Predicting the Occurrence of Respiratory Diseases Using Climatic and Air-Pollution Factors

Machine Learning Models for Predicting the Occurrence of Respiratory Diseases Using Climatic and Air-Pollution Factors

Rising Incidence of Acute Epiglottitis in Eastern China: An Eight-Year Retrospective Study and Its Association with the 24 Solar Terms

Epidemiology, presentation, management and outcomes of patients with acute epiglottitis - A 10-year retrospective study based on a tertiary hospital in northern China

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