association between kawasaki disease and exposure to air...

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Association between Kawasaki Disease and Exposure to Air Pollution Chau-Ren Jung 1,2 , Wei-Ting Chen 3 , Yu-Ting Lin 1,2 , and Bing-Fang Hwang 2 * 1 Department of Public Health, China Medical University, Taiwan 2 Department of Occupational Safety and Health, China Medical University, Taiwan 3 Department of Atmospheric Science, National Taiwan University, Taipei, Taiwan Present at The European Academy of Paediatrics Congress and Master Course 2015, 17-20 September 2015, Oslo, Norway

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Page 1: Association between Kawasaki Disease and Exposure to Air ...2015.eapcongress.com/wp-content/uploads/2015/11/... · Association between Kawasaki Disease and Exposure to Air Pollution

Association between Kawasaki Disease

and Exposure to Air Pollution

Chau-Ren Jung1,2, Wei-Ting Chen3,

Yu-Ting Lin1,2, and Bing-Fang Hwang2*

1Department of Public Health, China Medical University, Taiwan 2Department of Occupational Safety and Health, China Medical

University, Taiwan 3Department of Atmospheric Science, National Taiwan University,

Taipei, Taiwan

Present at

The European Academy of Paediatrics Congress and Master

Course 2015, 17-20 September 2015, Oslo, Norway

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Introduction

• Kawasaki disease (KD)

—An acute and multi-systemic vasculitis

—Predominantly occurs in young children age less than

5 years

—15 to 25% of untreated children may affect coronary

arteries

• The etiology of KD remains unknown!

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Introduction

• The increase of KD cases from Japan, Hawaii, and

San Diego is associated with a large-scale shift in the

Asia-North Pacific wind pattern (Rodó et al. 2011)

—The etiological agent of KD probably spread by wind

• Air pollution is one of the airborne environmental

factors, the role of air pollutants contribute to KD is

unclear.

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Aims

• We conducted a time stratified case-crossover study

to assess the effects of air pollutants on the risk of KD

and controlled for meteorological variables.

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Data source

• Longitudinal Health Insurance Database 2000 (LHID2000)

—A subset data of Taiwan National Health Insurance Research Database (NHIRD)

—1,000,000 individuals

—Followed to the end of 2010

—Outpatient visit, inpatient visit, prescriptions, diagnosis of disease based on the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM)

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Definition of KD

• Children aged less than 5 years old

• With a diagnosis of KD (ICD-9-CM code 446.1) from

January 1, 2000 to December 31, 2010.

—Assigned by pediatricians

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Exposure assessment

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Calculate the country

level average

concentration of air

pollutants

Inverse distance

weighting

(IDW)

CO

NO2

O3

PM10

SO2

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Covariates

• 2 meter temperature

• 2 meter dew point temperature

—From European Center for Medium-Range Weather

Forecasts (ECMWF).

• RH ≈ 100 − 5 𝑡 − 𝑡𝑑

—RH is the relative humidity in percent, td and t are the

2 meter dew point temperature and 2 meter

temperature in degrees Celsius, separately

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Study design

9 Calendar month

Direction of time

Arrows pointing up

indicate case periods;

vertical lines indicate

control periods.

Time stratified case crossover study

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Results

• A total of 697 KD hospital admissions from

LHID2000 during January 1, 2000 to December 31,

2010.

• The mean age of admissions: 2.54 years (0.11-4.99

years)

• Most were male (56.81%)

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Associations between KD and air

pollution—single pollutant models (1)

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OR, 95%CI Adjusted OR P for

trend O3 per 28.73 ppb change 1.17 (1.01-1.35) 1.22 (1.03-1.45) 1.17-27.18 ppb 1.00 1.00 0.11 27.18-41.13 ppb 1.27 (0.99-1.63) 1.30 (1.01-1.69) 41.13-55.91 ppb 1.23 (0.95-1.59) 1.29 (0.97-1.70) 55.91-106.52 ppb 1.33 (1.00-1.75) 1.42 (1.03-1.97) NO2 per 13.34 ppb change 1.05 (0.87-1.26) 1.05 (0.87-1.27) 2.64-16.02 ppb 1.00 1.00 0.02 16.02-22.33 ppb 0.99 (0.75-1.30) 0.99 (0.75-1.30) 22.33-29.36 ppb 1.00 (0.72-1.39) 1.00 (0.72-1.39) 29.36-72.02 ppb 1.24 (0.87-1.76) 1.25 (0.88-1.78)

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Associations between KD and air

pollution—single pollutant models (2)

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OR, 95%CI Adjusted OR P for

trend CO per 0.34 ppm change 0.99 (0.89-1.11) 1.00 (0.89-1.12) 0.15-0.54 ppm 1.00 1.00 0.06 0.54-0.69 ppm 0.91 (0.70-1.19) 0.91 (0.70-1.19) 0.69-0.88 ppm 1.03 (0.77-1.37) 1.04 (0.77-1.39) 0.88-9.27 ppm 1.12 (0.81-1.54) 1.16 (0.84-1.60) PM10 per 40.60 μg/m3 change 1.10 (0.94-1.28) 1.10 (0.94-1.30) 10.75-34.54 μg/m3 1.00 1.00 0.22 34.54-50.62 μg/m3 1.12 (0.87-1.45) 1.12 (0.86-1.45) 50.62-75.14 μg/m3 1.01 (0.77-1.33) 1.01 (0.75-1.35) 75.14-235.43 μg/m3 1.17 (0.85-1.60) 1.17 (0.83-1.64)

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Associations between KD and air

pollution—single pollutant models (3)

OR, 95%CI Adjusted OR P for

trend SO2 per 3.47 ppb change 1.06 (0.92-1.22) 1.06 (0.91-1.22) 0.05-2.40 ppb 1.00 1.00 0.69 2.40-3.92 ppb 1.19 (0.91-1.54) 1.18 (0.90-1.54) 3.92-5.87 ppb 1.09 (0.82-1.45) 1.09 (0.82-1.46) 5.87-25.68 ppb 1.13 (0.83-1.55) 1.13 (0.82-1.57)

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Lag pattern

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Conclusion

• In animal study

—Inhalation of O3 increased vascular dysfunction,

oxidative stress, mitochondrial damage, and

accelerate atherogenesis.

• Children exposure to O3 may increase the risk of KD.

However, further investigation is needed to

understand the plausible biological mechanism.

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Thank you for your listening

• Acknowledgment —Ministry of Science and Technology of Taiwan under MOST-104-

2922-I-039-016

—China Medical University

—Taiwan Environmental Protection Administration

—Taiwan National Health Research Institutes

• Contact information —Chau-Ren Jung, Ph.D. Student

—Bing-Fang Hwang, Professor

—China Medical University

—Department of Occupational Safety and Health

—Tel/Fax: +886-4-22053366 ext. 2208

—E-Mail: [email protected]; [email protected]

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Exposure assessment

• The daily average of air pollutants ( 24-hour for

CO, NO2, SO2, and PM10; 8-hour (1000-1800

hours) for O3 ) were calculated for subsequent

analyses, at least 75% of the 1 hour values must

be available on that particulate day

• The monitoring data were interpolated to daily

pollutant surfaces using inverse distance

weighting method (IDW)

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Distribution of daily data during

study period

Daily Variable Mean [SD] Min. Max. IQR Air pollutants CO (ppm) 0.75 (0.35) 0.15 9.27 0.34 NO2 (ppb) 23.20 (9.41) 2.64 72.02 13.34 O3 (ppb) 42.75 (19.36) 1.17 106.52 28.73 PM10 (μg/m3) 57.39 (29.88) 10.75 235.43 40.60 SO2 (ppb) 4.43 (2.80) 0.05 25.68 3.47 Temperature (℃) 21.86 (5.03) 5.54 30.69 7.83 Humidity (%) 81.85 (8.67) 51.15 98.98 12.50

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Exposure assessment

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CO

NO2

O3

PM10

SO2

Air pollutants monitoring data

from Taiwan EPA

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Correlation between air pollutants and

meteorological variables

CO NO2 O3 PM10 SO2 Temperature

CO 1.00

NO2 0.77** 1.00

O3 0.14** 0.23** 1.00

PM10 0.48** 0.63** 0.57** 1.00

SO2 0.40** 0.55** 0.27** 0.54** 1.00

Temperature -0.23** -0.43** 0.05* -0.30** 0.02 1.00

Humidity -0.01 -0.17** -0.51** -0.43** -0.29** -0.05*

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Associations between KD and ozone

from multi-pollutant models

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