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Kim SY, Park IH, Byun CS, Choi HG, Kwon MJ, Kim JH, Kim JH, Kim CW. Associations between Peritonsillar Abscess and Deep Neck Infection in Chronic Periodontitis Patients: Two Nested Case-Control Studies Using a National Health Screening Cohort. J Clin Med 2024; 13:2166. [PMID: 38673440 PMCID: PMC11050854 DOI: 10.3390/jcm13082166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 04/04/2024] [Accepted: 04/05/2024] [Indexed: 04/28/2024] Open
Abstract
Background/Introduction: Odontogenic infection is one of the main etiologies of deep neck infection (DNI). However, the relationship between chronic periodontitis (CP) and the incidence of DNI has not been examined. This study aimed to evaluate the incidence of DNI and peritonsillar abscess (PTA) after CP. Methods: The Korean National Health Insurance Service-National Sample Cohort 2002-2019 was used. In Study I, 4585 PTA patients were matched with 19,340 control I participants. A previous history of CP for 1 year was collected, and the odds ratios (ORs) of CP for PTA were analyzed using conditional logistic regression. In Study II, 46,293 DNI patients and 185,172 control II participants were matched. A previous history of CP for 1 year was collected, and conditional logistic regression was conducted for the ORs of CP for DNI. Secondary analyses were conducted in demographic, socioeconomic, and comorbidity subgroups. Results: In Study I, a history of CP was not related to the incidence of PTA (adjusted OR = 1.28, 95% confidence interval [CI] = 0.91-1.81). In Study II, the incidence of DNI was greater in participants with a history of CP (adjusted OR = 1.55, 95% CI = 1.41-1.71). The relationship between CP history and DNI was greater in groups with young, male, low-income, and rural residents. Conclusions: A prior history of CP was associated with a high incidence of DNI in the general population of Korea. Patients with CP need to be managed for the potential risk of DNI.
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Affiliation(s)
- So Young Kim
- Department of Anatomy and Cell Biology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea;
| | - Il Hwan Park
- Department of Cardiovascular and Thoracic Surgery, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea; (I.H.P.); (C.S.B.)
| | - Chun Sung Byun
- Department of Cardiovascular and Thoracic Surgery, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea; (I.H.P.); (C.S.B.)
| | - Hyo Geun Choi
- Mdanalytics, Seoul 06349, Republic of Korea;
- Suseoseoulent Clinic, Seoul 06349, Republic of Korea
| | - Mi Jung Kwon
- Department of Pathology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea;
| | - Ji Hee Kim
- Department of Neurosurgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea;
| | - Joo-Hee Kim
- Department of Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang 14068, Republic of Korea;
| | - Chang Wan Kim
- Department of Cardiovascular and Thoracic Surgery, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea; (I.H.P.); (C.S.B.)
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Chen J, Zhang Y, Zhang X, Jiang Y, Huang Y. Ambient Temperature Is an Independent Risk Factor for Acute Tonsillitis Incidence. EAR, NOSE & THROAT JOURNAL 2023; 102:NP40-NP45. [PMID: 33393820 DOI: 10.1177/0145561320984573] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE Acute tonsillitis is a common disease in otorhinolaryngology. Meteorological factors can affect the incidence of many infectious diseases. This study aims to analyze the correlation between acute tonsillitis and meteorological conditions. MATERIALS AND METHODS We collected the meteorological data, including daily temperature, humidity, and fine particulate matter (PM2.5) of Shanghai, China, from 2014 to 2015. The monthly number of acute tonsillitis cases in our hospital was also calculated and used as the outcome variable. The associations between them were evaluated, respectively. RESULTS The average number of patients diagnosed with acute tonsillitis in our hospital per month was 68.67 ± 18.67 from 2014 to 2015. The average temperature, humidity, and PM2.5 of Shanghai during the defined period was 16.84 °C ± 7.80 °C, 75.93% ± 5.45%, and 52.38 ± 14.23 μg/m3, respectively. The temperature was significantly positively associated with the acute tonsillitis cases number both in Pearson correlation analysis (R = 0.423, P = .039) and in multivariate regression analysis (coefficient =2.194, P = .012). However, no correlation between the acute tonsillitis cases number and relative humidity or PM2.5 was found through a multivariate regression model (P = .225 and P = .243), respectively. CONCLUSION The high temperature was associated with an increased incidence of acute tonsillitis.
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Affiliation(s)
- Jian Chen
- ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, People's Republic of China
| | - Yibo Zhang
- ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, People's Republic of China
| | - Xin Zhang
- Shanghai Central Meteorological Observatory, Shanghai, People's Republic of China
| | - Yingfang Jiang
- Nursing Department, Eye & ENT Hospital, Fudan University, Shanghai, People's Republic of China
| | - Yibo Huang
- ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, People's Republic of China
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Čabanová K, Štrbová K, Motyka O, Zeleník K, Dvořáčková J, Zabiegaj D, Havlíček M, Kukutschová J. Traffic pollution tracers in the lymphatic system tissue of children-possible link to chronic tonsillitis development: pilot study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:39131-39138. [PMID: 35099699 DOI: 10.1007/s11356-022-18869-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 01/21/2022] [Indexed: 06/14/2023]
Abstract
The origin of metal elements in tonsillar tissues of children patients was investigated in order to establish the link between environmental pollution and tonsilitis diagnosis. The children lived either in a polluted, industrial region (Moravian-Silesian Region, North-East Czechia) or a clean, predominantly agricultural region (South Bohemian Region, South-East Czechia). Simultaneously, the distance of the address of the patients to the closest main road was assessed. The elemental content of the present particulate matter in the tonsil samples, coming from indicated tonsillectomies, was analysed using scanning electron microscopy equipped with an X-ray microprobe. No significant association of the elemental composition and the region was found using both bivariate and multivariate methods; however, an association with the distance to the closest main road was found. The study presents a novel assessment of the tonsillar tissues and supports the link between environmental factors (traffic-related particulate pollution) and the onset of chronic, idiopathic diseases in children, which has been debated recently.
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Affiliation(s)
- Kristina Čabanová
- Centre for Advanced Innovation Technologies, VŠB - Technical University of Ostrava, Ostrava, Czech Republic.
- Faculty of Mining and Geology, VŠB - Technical University of Ostrava, Ostrava, Czech Republic.
| | - Kristína Štrbová
- ENET Centre, CEET, VŠB - Technical University of Ostrava, Ostrava, Czech Republic
| | - Oldřich Motyka
- Nanotechnology Centre, CEET, VŠB - Technical University of Ostrava, Ostrava, Czech Republic
| | - Karol Zeleník
- Department of Otorhinolaryngology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Jana Dvořáčková
- Institute of Pathology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Dominika Zabiegaj
- Smart Materials and Surfaces Laboratory, Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK
| | | | - Jana Kukutschová
- Centre for Advanced Innovation Technologies, VŠB - Technical University of Ostrava, Ostrava, Czech Republic
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Ku Y, Kwon SB, Yoon JH, Mun SK, Chang M. Machine Learning Models for Predicting the Occurrence of Respiratory Diseases Using Climatic and Air-Pollution Factors. Clin Exp Otorhinolaryngol 2022; 15:168-176. [PMID: 34990536 PMCID: PMC9149237 DOI: 10.21053/ceo.2021.01536] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 09/19/2021] [Indexed: 11/24/2022] Open
Abstract
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 relief-based 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 (R2) 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, R2 and RMSE were 0.68 and 13.8, respectively. For GPR, the R2 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. Conclusion We successfully developed models for predicting the occurrence of respiratory diseases using climatic and air-pollution factors. These models could evolve into public warning systems.
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Affiliation(s)
- Yunseo Ku
- Department of Biomedical Engineering, Chungnam National University College of Medicine, Daejeon, Korea
| | - Soon Bin Kwon
- Department of Neurology, Columbia University, New York, NY, USA
| | - Jeong-Hwa Yoon
- Institute of Health Policy and Management, Medical Research Center, Seoul National University, Seoul, Korea
| | - Seog-Kyun Mun
- Department of Otorhinolaryngology-Head and Neck Surgery, Chung-Ang University College of Medicine, Seoul, Korea
| | - Munyoung Chang
- Department of Otorhinolaryngology-Head and Neck Surgery, Chung-Ang University College of Medicine, Seoul, Korea
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5
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National cohort and meteorological data based nested case-control study on the association between air pollution exposure and thyroid cancer. Sci Rep 2021; 11:21562. [PMID: 34732774 PMCID: PMC8566463 DOI: 10.1038/s41598-021-00882-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 10/19/2021] [Indexed: 12/16/2022] Open
Abstract
The objective of this study was to evaluate the influence of exposure to meteorological conditions, including air pollution, on thyroid cancer. A nested case–control study was conducted utilizing 4632 patients with thyroid cancer and 18,528 control subjects who were matched at a 1:4 ratio by age group, sex, income, and region of residence. Korean National Health Insurance Service-Health Screening Cohort data from 2002 to 2015 were used. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated for thyroid cancer correlated with meteorological and air pollution exposure over a moving average of 3 years before the index dates. For all participants, the adjusted ORs associated with relative humidity (1.01, 95% CI 1.00–1.03, P value = 0.023), ambient atmospheric pressure (1.02, 95% CI 1.01–1.03, P value < 0.001), and sunshine duration (1.17, 95% CI 1.04–1.31, P value = 0.007) indicated correlations with the occurrence of thyroid cancer; however, these results were inconsistent in the subgroup analyses. Overall, exposure to nitrogen dioxide (NO2) (1.33, 95% CI 1.24–1.43, P value < 0.001) and particulate matter (PM10) (0.64, 95% CI 0.60–0.69, P value < 0.001) were related to thyroid cancer. These relationships persisted in the subgroup analyses. In conclusion, thyroid cancer occurrence was positively associated with NO2 exposure and negatively associated with PM10 exposure.
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Wee JH, Min C, Jung HJ, Park MW, Park B, Choi HG. Association between air pollution and chronic rhinosinusitis: a nested case-control study using meteorological data and national health screening cohort data. Rhinology 2021; 59:451-459. [PMID: 34472546 DOI: 10.4193/rhin21.141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Inconsistent results about the effect of air pollution on chronic rhinosinusitis (CRS) have been reported. This study aimed to evaluate the impact of meteorological conditions/air pollution on the prevalence of CRS in adult Koreans. METHODOLOGY The data from the Korean National Health Insurance Service-Health Screening Cohort from 2002 through 2015 were used. A CRS group (defined as ICD-10 codes J32, n=6159) was matched with a control group (n=24,636) in 1:4 ratios by age, sex, income, and region of residence. The meteorological conditions and air pollution data included the daily mean, highest, and lowest temperature (°C), daily temperature range (°C), relative humidity (%), ambient atmospheric pressure (hPa), sunshine duration (hr), and the rainfall (mm), SO2 (ppm), NO2 (ppm), O3 (ppm), CO (ppm), and PM10 (μg/m3) levels before the CRS diagnosis. Crude and adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for CRS were analyzed using logistic regression analyses. RESULTS When the NO2 level increased by 0.1 ppm, the odds for CRS increased 5.40 times, and when the CO level increased by 1 ppm and PM10 increased by 10 μg/m3, the odds for CRS decreased 0.75 times and 0.93 times, respectively. Other meteorological conditions, such as the mean/highest/lowest temperature, temperature range, rainfall and other air pollution, such as SO2 and O3, were not statistically significant. NO2 for 90 days before the index date increased the risk of CRS in all subgroups, except for the nasal polyp and older age subgroups. CONCLUSION CRS is related to high concentrations of NO2.
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Affiliation(s)
- J H Wee
- Department of Otorhinolaryngology-Head and Neck Surgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea
| | - C Min
- Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang, Korea; Graduate School of Public Health, Seoul National University, Seoul, Korea
| | - H J Jung
- Department of Otorhinolaryngology-Head and Neck Surgery, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea
| | - M W Park
- Department of Otorhinolaryngology-Head and Neck Surgery, Kangdong Sacred Heart Hospital, Seoul, Korea
| | - B Park
- Department of Otorhinolaryngology-Head and Neck Surgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea
| | - H G Choi
- Department of Otorhinolaryngology-Head and Neck Surgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea; Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang, Korea
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7
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Kim SY, Kim JH, Kim YH, Wee JH, Min C, Han SM, Kim S, Choi HG. Short- and long-term exposure to air pollution increases the risk of stroke. Int J Stroke 2021; 17:654-660. [PMID: 34427474 DOI: 10.1177/17474930211042118] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Many epidemiological studies have observed the association of air pollutant exposure with the onset, progression, and mortality of stroke. The aim of this study was to investigate the associations of air pollutants, including SO2, NO2, O3, CO, and PM10, with stroke according to exposure duration. METHODS Data from the Korean National Health Insurance Service-Health Screening Cohort from 2002 to 2015 were obtained. The 21,240 patients who were admitted for or died due to stroke were 1:4 matched for age, sex, income, and region of residence with 84,960 control participants. The meteorological factors of mean, highest, and lowest temperatures; relative humidity; ambient atmospheric pressure; and air pollutant concentrations (SO2, NO2, O3, CO, and PM10) were analyzed to determine their associations with stroke. The odds ratios for stroke after exposure to each meteorological factor and air pollutant at 7 and 30 days were calculated in the stroke and control groups. Subgroup analyses were conducted according to age, sex, income, and region of residence. RESULTS The odds ratio associated with seven days of exposure to CO was 1.16 (95% CI = 1.04-1.31) in stroke patients. For 30 days of exposure, the odds ratio associated with CO was 1.16 (95% CI = 1.02-1.32) in stroke patients. Seven and 30 days of NO2 exposure were inversely associated with stroke. The odds ratio associated with seven days of exposure to O3 was 1.16 (95% CI = 1.01-1.32) in ischemic stroke patients. Both ischemic and hemorrhagic stroke had negative associations with 7 and 30 days of NO2 exposure. CONCLUSION Both short- and long-term exposure to CO were related to stroke.
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Affiliation(s)
- So Young Kim
- Department of Otorhinolaryngology-Head & Neck Surgery, CHA Bundang Medical Center, CHA University, Seongnam, Korea
| | - Joo-Hee Kim
- Department of Neurosurgery, Hallym University College of Medicine, Hallym University Medical Center, Seoul, Korea
| | - Yoo Hwan Kim
- Department of Neurology, Hallym University College of Medicine, Anyang, Korea
| | - Jee Hye Wee
- Department of Otorhinolaryngology-Head & Neck Surgery, Hallym University College of Medicine, Anyang, Korea
| | - Chanyang Min
- Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang, Korea.,Graduate School of Public Health, Seoul National University, Seoul, Korea
| | - Sang-Min Han
- Department of Political Science (Climate and Environmental Policy), Graduate School of Global Cooperation, Hallym University, Chuncheon, Korea
| | - Seungdo Kim
- Research Center for Climate Change and Energy, Hallym University, Chuncheon, Korea
| | - Hyo Geun Choi
- Department of Otorhinolaryngology-Head & Neck Surgery, Hallym University College of Medicine, Anyang, Korea.,Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang, Korea.,Hallym Institute for Environmental Diseases (HIED), Chuncheon, Korea
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Choi HG, Lee CH, Yoo DM, Min C, Park B, Kim SY. Effects of short- and long-term exposure to air pollution and meteorological factors on Meniere's disease. Sci Rep 2021; 11:16063. [PMID: 34373509 PMCID: PMC8352931 DOI: 10.1038/s41598-021-95491-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 07/23/2021] [Indexed: 11/30/2022] Open
Abstract
The association between air pollutants and Meniere’s disease has not been explored. The present study investigated the relationship between meteorological factors and air pollutants on Meniere’s disease. Participants, aged ≥ 40 years, of the Korean National Health Insurance Service-Health Screening Cohort were included in this study. The 7725 patients with Meniere’s disease were matched with 30,900 control participants. The moving average meteorological and air pollution data of the previous 7 days, 1 month, 3 months, and 6 months before the onset of Meniere’s disease were compared between the Meniere’s disease and control groups using conditional logistic regression analyses. Additional analyses were conducted according to age, sex, income, and residential area. Temperature range; ambient atmospheric pressure; sunshine duration; and levels of SO2, NO2, O3, CO, and PM10 for 1 month and 6 months were associated with Meniere’s disease. Adjusted ORs (odds ratios with 95% confidence interval [CI]) for 1 and 6 months of O3 concentration were 1.29 (95% CI 1.23–1.35) and 1.31 (95% CI 1.22–1.42), respectively; that for the 1 and 6 months of CO concentration were 3.34 (95% CI 2.39–4.68) and 4.19 (95% CI 2.79–6.30), respectively. Subgroup analyses indicated a steady relationship of O3 and CO concentrations with Meniere’s disease. Meteorological factors and air pollutants were associated with the rate of Meniere’s disease. In particular, CO and O3 concentrations were positively related to the occurrence of Meniere’s disease.
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Affiliation(s)
- Hyo Geun Choi
- Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang, Korea.,Department of Otorhinolaryngology-Head & Neck Surgery, Hallym University College of Medicine, Anyang, Korea.,Hallym Institute for Environmental Diseases (HIED), Chuncheon, Korea
| | - Chang Ho Lee
- Department of Otorhinolaryngology-Head & Neck Surgery, CHA Bundang Medical Center, CHA University, Seongnam, Korea
| | - Dae Myoung Yoo
- Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang, Korea
| | - Chanyang Min
- Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang, Korea.,Graduate School of Public Health, Seoul National University, Seoul, Korea
| | - Bumjung Park
- Department of Otorhinolaryngology-Head & Neck Surgery, Hallym University College of Medicine, Anyang, Korea
| | - So Young Kim
- Department of Otorhinolaryngology-Head & Neck Surgery, CHA Bundang Medical Center, CHA University, Seongnam, Korea.
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High Risk of Peritonsillar Abscess in End-Stage Renal Disease Patients: A Nationwide Real-World Cohort Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18136775. [PMID: 34202480 PMCID: PMC8297125 DOI: 10.3390/ijerph18136775] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 06/19/2021] [Accepted: 06/22/2021] [Indexed: 01/01/2023]
Abstract
Background: Peritonsillar abscess (PTA) is an infectious emergency in the head and neck, and patients with end-stage renal disease (ESRD) have an immunocompromised status. However, no relevant research has focused on the ESRD–PTA relationship. This study explored PTA in ESRD patients and their prognosis. Methods: We identified 157,026 patients diagnosed as having ESRD over January 1997 to December 2013 from Taiwan’s National Health Insurance Research Database (NHIRD). Each patient with ESRD (hereafter, patients) was matched with one control without chronic kidney disease (CKD; hereafter, controls) by sex, age, urbanization level, and income. Next, PTA incidence until death or the end of 2013 was compared between the two groups, and the relative risk of PTA was analyzed using a multiple logistic regression model. Results: The patients had a significantly higher PTA incidence than did the controls (incidence rate ratio: 2.02, 95% confidence interval [CI]: 1.40–2.91, p < 0.001). The Kaplan–Meier analysis revealed that the patients had a higher cumulative incidence of PTA than did the controls (p < 0.001). In Cox regression analysis, the patients had nearly twofold higher PTA risk (adjusted hazard ratio [HR]: 1.98, 95% CI: 1.37–2.86, p < 0.001). The between-group differences in the PTA-related hospital stay length (8.1 ± 10.3 days in patients and 5.7 ± 4.6 days in controls, p = 0.09), consequent deep-neck infection complication (4.2% in patients and 6.3% in controls, p = 0.682), and mortality (0.0% in both groups) were nonsignificant. Conclusions: Although ESRD does not predict a poor prognosis of PTA, it is an independent PTA risk factor.
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Kim SY, Min C, Yoo DM, Park B, Choi HG. Short-Term Exposure to Air Pollution and Epiglottitis: A Nested Case-Control Study. Laryngoscope 2021; 131:2483-2489. [PMID: 33830515 DOI: 10.1002/lary.29560] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 03/17/2021] [Accepted: 03/30/2021] [Indexed: 11/11/2022]
Abstract
OBJECTIVES/HYPOTHESIS This study investigated the impacts of air pollution and meteorological factors on the occurrence of epiglottitis. STUDY DESIGN A nested case-control study. METHODS Participants ≥40 years old in the Korean National Health Insurance Service-Health Screening Cohort were analyzed. A total of 2,615 epiglottitis patients and 10,460 matched control participants were analyzed. The odds ratios (ORs) for epiglottitis associated with meteorological and air pollution factors, including sulfur dioxide (SO2 , ppb), nitrogen dioxide (NO2 , ppb), ozone (O3 , ppb), and carbon monoxide (CO, ppm), after 3, 7, 15, and 30 days of exposure were analyzed using conditional logistic regression adjusted for total cholesterol, blood pressure, fasting blood glucose, obesity, smoking, alcohol consumption, prior upper respiratory infection, tonsillectomy, immunocompromise, autoimmune disease, and the Charlson comorbidity index. RESULTS The daily temperature range and NO2 exposure after 3 days were associated with increased rates of epiglottitis (OR = 1.03, 95% confidence interval [CI] = 1.02-1.05 for temperature range and OR = 1.78, 95% CI = 1.14-2.77 for NO2 , respectively). These results were generally consistent at 7, 15, and 30 days. CONCLUSIONS The temperature range and NO2 exposure for 3, 7, 15, and 30 days were positively related to the occurrence of adult epiglottitis. LEVEL OF EVIDENCE 3 Laryngoscope, 2021.
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Affiliation(s)
- So Young Kim
- Department of Otorhinolaryngology-Head & Neck Surgery, CHA Bundang Medical Center, CHA University, Seongnam, South Korea
| | - Chanyang Min
- Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang, South Korea.,Graduate School of Public Health, Seoul National University, Seoul, South Korea
| | - Dae Myoung Yoo
- Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang, South Korea
| | - Bumjung Park
- Department of Otorhinolaryngology-Head & Neck Surgery, Hallym University College of Medicine, Anyang, South Korea
| | - Hyo Geun Choi
- Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang, South Korea.,Department of Otorhinolaryngology-Head & Neck Surgery, Hallym University College of Medicine, Anyang, South Korea
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Short and long term exposure to air pollution increases the risk of ischemic heart disease. Sci Rep 2021; 11:5108. [PMID: 33658616 PMCID: PMC7930275 DOI: 10.1038/s41598-021-84587-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 02/18/2021] [Indexed: 12/22/2022] Open
Abstract
Previous studies have suggested an increased risk of ischemic heart disease related to air pollution. This study aimed to explore both the short-term and long-term effects of air pollutants on the risk of ischemic heart disease after adjusting for meteorological factors. The Korean National Health Insurance Service-Health Screening Cohort from 2002 to 2013 was used. Overall, 2155 participants with ischemic heart disease and 8620 control participants were analyzed. The meteorological data and air pollution data, including SO2 (ppm), NO2 (ppm), O3 (ppm), CO (ppm), and particulate matter (PM)10 (μg/m3), were analyzed using conditional logistic regression. Subgroup analyses were performed according to age, sex, income, and region of residence. One-month exposure to SO2 was related to 1.36-fold higher odds for ischemic heart disease (95% confidence interval [95% CI] 1.06–1.75). One-year exposure to SO2, O3, and PM10 was associated with 1.58- (95% CI 1.01–2.47), 1.53- (95% CI 1.27–1.84), and 1.14 (95% CI 1.02–1.26)-fold higher odds for ischemic heart disease. In subgroup analyses, the ≥ 60-year-old group, men, individuals with low income, and urban groups demonstrated higher odds associated with 1-month exposure to SO2. Short-term exposure to SO2 and long-term exposure to SO2, O3, and PM10 were related to ischemic heart disease.
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Kim SY, Bang M, Wee JH, Min C, Yoo DM, Han SM, Kim S, Choi HG. Short- and long-term exposure to air pollution and lack of sunlight are associated with an increased risk of depression: A nested case-control study using meteorological data and national sample cohort data. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 757:143960. [PMID: 33321334 DOI: 10.1016/j.scitotenv.2020.143960] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 11/13/2020] [Accepted: 11/14/2020] [Indexed: 06/12/2023]
Abstract
Previous studies have suggested an increased risk of depression related to air pollutants. This study investigated the relationship of air pollutant exposure and meteorological factors with depression. The Korean National Health Insurance Service-Health Screening Cohort from 2002 to 2013 was analyzed. In total, 25,589 depression participants were 1:4 matched with 102,356 control participants for age, sex, income, and region of residence. Depression was defined based on a diagnosis (ICD-10: F31-33) by a psychiatric physician. Meteorological factors and air pollutants including sulfur dioxide (SO2) (ppm), nitrogen dioxide (NO2) (ppm), ozone (O3) (ppm), carbon monoxide (CO) (ppm), and particulate matter with an aerodynamic diameter <10 μm (PM10) (μg/m3) during the 30 days and 365 days before the index date were analyzed for associations with depression using conditional logistic regression. Subgroup analyses were performed according to age, sex, income, and region of residence. The odds ratios (ORs) for depression were 1.05 (95% CI = 1.02-1.08) at 365 days for 1 h less of sunshine. The ORs for depression were 1.02 (95% CI = 1.01-1.03) and 1.03 (95% CI = 1.00-1.05) at 30 days and 365 days for PM10 (10 μg/m3), respectively. The ORs for depression were 1.18 (95% CI = 1.04-1.35) and 1.25 (95% CI = 1.07-1.47) at 30 days and 365 days for CO (ppm), respectively. In the subgroup analyses, the overall results were consistent. However, statistical significance diminished in the younger, high-income, and urban resident subgroups. Both short- and long-term exposure to PM10 and CO and a reduced duration of sunshine were related to an increased risk of depression.
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Affiliation(s)
- So Young Kim
- Department of Otorhinolaryngology-Head & Neck Surgery, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea
| | - Minji Bang
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea
| | - Jee Hye Wee
- Department of Otorhinolaryngology-Head & Neck Surgery, Hallym University College of Medicine, Anyang, Republic of Korea
| | - Chanyang Min
- Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang, Republic of Korea; Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Dae Myoung Yoo
- Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang, Republic of Korea
| | - Sang-Min Han
- Political Science (Climate and Environmental Policy), Graduate School of Global Cooperation, Hallym University, Chuncheon, Republic of Korea
| | - Seungdo Kim
- Research Center for Climate Change and Energy, Hallym University, Chuncheon, Republic of Korea
| | - Hyo Geun Choi
- Department of Otorhinolaryngology-Head & Neck Surgery, Hallym University College of Medicine, Anyang, Republic of Korea; Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang, Republic of Korea; Hallym Institute for Environmental Diseases (HIED), Chuncheon, Republic of Korea.
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