Application of smart devices in investigating the effects of air pollution on atrial fibrillation onset

Abstract Few studies have examined the link between short-term exposure to air pollutants and atrial fibrillation (AF) episodes. This study aims to examine the association of hourly criteria air pollutants with AF episodes. We employ a smart device-based photoplethysmography technology to screen AF...

Full description

Bibliographic Details
Main Authors: Cong Liu, Meihui Tai, Jialu Hu, Xinlei Zhu, Weidong Wang, Yutao Guo, Haidong Kan, Renjie Chen
Format: Article
Language:English
Published: Nature Portfolio 2023-03-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-023-00788-w
_version_ 1797420714147446784
author Cong Liu
Meihui Tai
Jialu Hu
Xinlei Zhu
Weidong Wang
Yutao Guo
Haidong Kan
Renjie Chen
author_facet Cong Liu
Meihui Tai
Jialu Hu
Xinlei Zhu
Weidong Wang
Yutao Guo
Haidong Kan
Renjie Chen
author_sort Cong Liu
collection DOAJ
description Abstract Few studies have examined the link between short-term exposure to air pollutants and atrial fibrillation (AF) episodes. This study aims to examine the association of hourly criteria air pollutants with AF episodes. We employ a smart device-based photoplethysmography technology to screen AF from 2018 to 2021. Hourly concentrations of six criteria air pollutants are matched to the onset hour of AF for each participant. We adopt a time-stratified case-crossover design to capture the acute effects of air pollutants on AF episodes, using conditional logistic regression models. Subgroup analyses are conducted by age, gender, and season. A total of 11,906 episodes of AF are identified in 2976 participants from 288 Chinese cities. Generally, the strongest associations of air pollutants are present at lag 18–24 h, with positive and linear exposure-response relationships. For an interquartile range increase in inhalable particles, fine particles, nitrogen dioxide, and carbon monoxide, the odds ratio (OR) of AF is 1.19 [95% confidential interval (CI): 1.03, 1.37], 1.38 (95%CI: 1.14, 1.67), 1.60 (95%CI: 1.16, 2.20) and 1.48 (95%CI: 1.19, 1.84), respectively. The estimates are robust to the adjustment of co-pollutants, and they are larger in females, older people, and in cold seasons. There are insignificant associations for sulfur dioxide and ozone. This nationwide case-crossover study demonstrates robust evidence of significant associations between hourly exposure to air pollutants and the onset of AF episodes, which underscores the importance of ongoing efforts to further improve air quality as an effective target for AF prevention.
first_indexed 2024-03-09T07:06:34Z
format Article
id doaj.art-b7e0ac94e4b4444889d0b5381b4d6064
institution Directory Open Access Journal
issn 2398-6352
language English
last_indexed 2024-03-09T07:06:34Z
publishDate 2023-03-01
publisher Nature Portfolio
record_format Article
series npj Digital Medicine
spelling doaj.art-b7e0ac94e4b4444889d0b5381b4d60642023-12-03T09:32:20ZengNature Portfolionpj Digital Medicine2398-63522023-03-01611810.1038/s41746-023-00788-wApplication of smart devices in investigating the effects of air pollution on atrial fibrillation onsetCong Liu0Meihui Tai1Jialu Hu2Xinlei Zhu3Weidong Wang4Yutao Guo5Haidong Kan6Renjie Chen7School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan UniversityPulmonary Vessel and Thrombotic Disease, Sixth Medical Center, Chinese PLA General HospitalDepartment of Cardiology, Zhongshan Hospital Affiliated to Fudan UniversitySchool of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan UniversitySchool of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan UniversityPulmonary Vessel and Thrombotic Disease, Sixth Medical Center, Chinese PLA General HospitalSchool of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan UniversitySchool of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan UniversityAbstract Few studies have examined the link between short-term exposure to air pollutants and atrial fibrillation (AF) episodes. This study aims to examine the association of hourly criteria air pollutants with AF episodes. We employ a smart device-based photoplethysmography technology to screen AF from 2018 to 2021. Hourly concentrations of six criteria air pollutants are matched to the onset hour of AF for each participant. We adopt a time-stratified case-crossover design to capture the acute effects of air pollutants on AF episodes, using conditional logistic regression models. Subgroup analyses are conducted by age, gender, and season. A total of 11,906 episodes of AF are identified in 2976 participants from 288 Chinese cities. Generally, the strongest associations of air pollutants are present at lag 18–24 h, with positive and linear exposure-response relationships. For an interquartile range increase in inhalable particles, fine particles, nitrogen dioxide, and carbon monoxide, the odds ratio (OR) of AF is 1.19 [95% confidential interval (CI): 1.03, 1.37], 1.38 (95%CI: 1.14, 1.67), 1.60 (95%CI: 1.16, 2.20) and 1.48 (95%CI: 1.19, 1.84), respectively. The estimates are robust to the adjustment of co-pollutants, and they are larger in females, older people, and in cold seasons. There are insignificant associations for sulfur dioxide and ozone. This nationwide case-crossover study demonstrates robust evidence of significant associations between hourly exposure to air pollutants and the onset of AF episodes, which underscores the importance of ongoing efforts to further improve air quality as an effective target for AF prevention.https://doi.org/10.1038/s41746-023-00788-w
spellingShingle Cong Liu
Meihui Tai
Jialu Hu
Xinlei Zhu
Weidong Wang
Yutao Guo
Haidong Kan
Renjie Chen
Application of smart devices in investigating the effects of air pollution on atrial fibrillation onset
npj Digital Medicine
title Application of smart devices in investigating the effects of air pollution on atrial fibrillation onset
title_full Application of smart devices in investigating the effects of air pollution on atrial fibrillation onset
title_fullStr Application of smart devices in investigating the effects of air pollution on atrial fibrillation onset
title_full_unstemmed Application of smart devices in investigating the effects of air pollution on atrial fibrillation onset
title_short Application of smart devices in investigating the effects of air pollution on atrial fibrillation onset
title_sort application of smart devices in investigating the effects of air pollution on atrial fibrillation onset
url https://doi.org/10.1038/s41746-023-00788-w
work_keys_str_mv AT congliu applicationofsmartdevicesininvestigatingtheeffectsofairpollutiononatrialfibrillationonset
AT meihuitai applicationofsmartdevicesininvestigatingtheeffectsofairpollutiononatrialfibrillationonset
AT jialuhu applicationofsmartdevicesininvestigatingtheeffectsofairpollutiononatrialfibrillationonset
AT xinleizhu applicationofsmartdevicesininvestigatingtheeffectsofairpollutiononatrialfibrillationonset
AT weidongwang applicationofsmartdevicesininvestigatingtheeffectsofairpollutiononatrialfibrillationonset
AT yutaoguo applicationofsmartdevicesininvestigatingtheeffectsofairpollutiononatrialfibrillationonset
AT haidongkan applicationofsmartdevicesininvestigatingtheeffectsofairpollutiononatrialfibrillationonset
AT renjiechen applicationofsmartdevicesininvestigatingtheeffectsofairpollutiononatrialfibrillationonset