Factors associated with chronic obstructive pulmonary disease exacerbation, based on big data analysis
Identifieur interne : 000656 ( Main/Exploration ); précédent : 000655; suivant : 000657Factors associated with chronic obstructive pulmonary disease exacerbation, based on big data analysis
Auteurs : Jongmin Lee [Corée du Sud] ; Hyun Myung Jung [Corée du Sud] ; Sook Kyung Kim [Corée du Sud] ; Kwang Ha Yoo [Corée du Sud] ; Ki-Suck Jung [Corée du Sud] ; Sang Haak Lee [Corée du Sud] ; Chin Kook Rhee [Corée du Sud]Source :
- Scientific Reports [ 2045-2322 ] ; 2019.
Abstract
Preventing exacerbation in chronic obstructive pulmonary disease (COPD) patients is crucial, but requires identification of the exacerbating factors. To date, no integrated analysis of patient-derived and external factors has been reported. To identify factors associated with COPD exacerbation, we collected data, including smoking status, lung function, and COPD assessment test scores, from 594 COPD patients in the Korean COPD subgroup study (KOCOSS), and merged these data with patients’ Korean Health Insurance Review and Assessment Service data for 2007–2012. We also collected primary weather variables, including levels of particulate matter <10 microns in diameter, daily minimum ambient temperature, as well as respiratory virus activities, and the logs of web queries on COPD-related issues. We then assessed the associations between these patient-derived and external factors and COPD exacerbations. Univariate analysis showed that patient factors, air pollution, various types of viruses, temperature, and the number of COPD-related web queries were associated with COPD exacerbation. Multivariate analysis revealed that the number of exacerbations in the preceding year, female sex, COPD grade, and influenza virus detection rate, and lowest temperature showed significant association with exacerbation. Our findings may help COPD patients predict when exacerbations are likely, and provide intervention as early as possible.
Url:
DOI: 10.1038/s41598-019-43167-w
PubMed: 31040338
PubMed Central: 6491439
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en"><p id="Par1">Preventing exacerbation in chronic obstructive pulmonary disease (COPD) patients is crucial, but requires identification of the exacerbating factors. To date, no integrated analysis of patient-derived and external factors has been reported. To identify factors associated with COPD exacerbation, we collected data, including smoking status, lung function, and COPD assessment test scores, from 594 COPD patients in the Korean COPD subgroup study (KOCOSS), and merged these data with patients’ Korean Health Insurance Review and Assessment Service data for 2007–2012. We also collected primary weather variables, including levels of particulate matter <10 microns in diameter, daily minimum ambient temperature, as well as respiratory virus activities, and the logs of web queries on COPD-related issues. We then assessed the associations between these patient-derived and external factors and COPD exacerbations. Univariate analysis showed that patient factors, air pollution, various types of viruses, temperature, and the number of COPD-related web queries were associated with COPD exacerbation. Multivariate analysis revealed that the number of exacerbations in the preceding year, female sex, COPD grade, and influenza virus detection rate, and lowest temperature showed significant association with exacerbation. Our findings may help COPD patients predict when exacerbations are likely, and provide intervention as early as possible.</p>
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<name sortKey="Lee, Sang Haak" sort="Lee, Sang Haak" uniqKey="Lee S" first="Sang Haak" last="Lee">Sang Haak Lee</name>
<name sortKey="Rhee, Chin Kook" sort="Rhee, Chin Kook" uniqKey="Rhee C" first="Chin Kook" last="Rhee">Chin Kook Rhee</name>
<name sortKey="Yoo, Kwang Ha" sort="Yoo, Kwang Ha" uniqKey="Yoo K" first="Kwang Ha" last="Yoo">Kwang Ha Yoo</name>
</country>
</tree>
</affiliations>
</record>
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