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Multicenter Study
. 2024 Sep 27;24(1):474.
doi: 10.1186/s12890-024-03298-x.

Similarity analyses of causative viruses for chronic obstructive pulmonary disease and asthma exacerbations : Author

Tai Joon An  1 , Jangwon Lee  2 , Myoungin Shin  3 , Kwang Ha Yoo  4 , Yong Il Hwang  5 , Kyung Hoon Min  6 , Deog Kyeom Kim  7 , Yun Su Sim  8 , Ji Ye Jung  9 , Chin Kook Rhee  10 ; Korean Asthma Study Group and the Korean COPD Study Group in The Korean Academy of Tuberculosis and Respiratory Diseases (KATRD)
Affiliations
Multicenter Study

Similarity analyses of causative viruses for chronic obstructive pulmonary disease and asthma exacerbations : Author

Tai Joon An et al. BMC Pulm Med. .

Abstract

Background: The representativeness of cohort studies compared to nationwide data is a major concern. This study evaluated the similarity and seasonality of causative respiratory viruses for chronic obstructive pulmonary disease (COPD) and asthma exacerbations between retrospective multicenter cohort study and nationwide data.

Methods: We compared data from the retrospective multicenter cohort study with Korean Influenza and Respiratory Surveillance System data between 2015 and 2018. Correlation, dynamic time warping (DTW), and seasonal autoregressive integrated moving average (SARIMA) analyses were performed.

Results: Spearman correlation coefficients [ρ] indicated very strong (respiratory syncytial virus [RSV] [ρ = 0.8458] and influenza virus [IFV] [ρ = 0.8272]), strong (human metapneumovirus [HMPV] [ρ = 0.7177] and parainfluenza virus [PIV] [ρ = 0.6742]), and moderate (rhinovirus [RV] [ρ = 0.5850] and human coronavirus [HCoV] [ρ = 0.5158]) correlations. DTW analyses showed moderate (PIV) and high (IFV, RSV, and HMPV) synchronicity between the two datasets, while RV and HCoV showed low synchronicity. SARIMA analyses revealed 12-month seasonality for IFV, RSV, PIV, and HMPV. The peak season was winter for RSV and IFV, spring to summer for PIV, and spring for HMPV.

Conclusions: This was the first study to report the synchronicity between a retrospective multicenter cohort study of viruses that can cause COPD or asthma exacerbations and nationwide surveillance system data.

Keywords: Asthma; Causative agent; Chronic obstructive pulmonary disease; Cohort; Exacerbation; Representativeness; Respiratory virus.

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Conflict of interest statement

CK Rhee received consulting/lecture fees from MSD, AstraZeneca, GSK, Novartis, Takeda, Mundipharma, Boehringer-Ingelheim, Teva, Sanofi, and Bayer. Other authors did not have any conflicts of interest to declare.

Figures

Fig. 1
Fig. 1
The results of dynamic time warping (DTW). Figure 1 provides results of the dynamic time warping analyses. Blue line means positivity trends of KDCA data and red dash line means those of multicenter retrospective cohort data in each year. IFV, RSV, HMPV, and PIV showed synchronicity
See this image and copyright information in PMC

References

    1. Jo YS, Rhee CK, Yoon HK, Park CK, Lim JU, An TJ, Hur J. Evaluation of asthma-chronic obstructive pulmonary disease overlap using a mouse model of pulmonary disease. J Inflamm (Lond). 2022;19(1):25. - PMC - PubMed
    1. An TJ, Rhee CK, Kim JH, Lee YR, Chon JY, Park CK, Yoon HK. Effects of macrolide and corticosteroid in neutrophilic asthma mouse model. Tuberc Respir Dis. 2018;81(1):80–7. - PMC - PubMed
    1. An TJ, Kim JH, Park CK, Yoon HK. Tiotropium bromide has a more potent effect than corticosteroid in the acute neutrophilic asthma mouse model. Tuberc Respir Dis. 2022;85(1):18–24. - PMC - PubMed
    1. Lee EG, Rhee CK. Epidemiology, burden, and policy of chronic obstructive pulmonary disease in South Korea: a narrative review. J Thorac Dis. 2021;13(6):3888–97. - PMC - PubMed
    1. An TJ, Yoon HK. Prevalence and socioeconomic burden of chronic obstructive pulmonary disease. JKMA. 2018;61(9):533–8.

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