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Risk Factors of Pertussis Among Older Adults in South Korea: A Nationwide Health Data-Based Case–Control Study

INTRODUCTION: To better understand the conditions associated with pertussis diagnosis among older adults in South Korea, a matched case–control study was conducted of individuals ≥ 50 years diagnosed with pertussis between 2009 and 2018. METHODS: Pertussis cases were identified using the nationwide...

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Autores principales: Kim, Hyungwoo, Shin, Ju-Young, Chen, Jing, Kim, Ju Hwan, Noh, Yunha, Cheong, Hee Jin, Oh, Yeon-Mok, Guignard, Adrienne, Shantakumar, Sumitra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925654/
https://www.ncbi.nlm.nih.gov/pubmed/36588139
http://dx.doi.org/10.1007/s40121-022-00747-0
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author Kim, Hyungwoo
Shin, Ju-Young
Chen, Jing
Kim, Ju Hwan
Noh, Yunha
Cheong, Hee Jin
Oh, Yeon-Mok
Guignard, Adrienne
Shantakumar, Sumitra
author_facet Kim, Hyungwoo
Shin, Ju-Young
Chen, Jing
Kim, Ju Hwan
Noh, Yunha
Cheong, Hee Jin
Oh, Yeon-Mok
Guignard, Adrienne
Shantakumar, Sumitra
author_sort Kim, Hyungwoo
collection PubMed
description INTRODUCTION: To better understand the conditions associated with pertussis diagnosis among older adults in South Korea, a matched case–control study was conducted of individuals ≥ 50 years diagnosed with pertussis between 2009 and 2018. METHODS: Pertussis cases were identified using the nationwide Health Insurance Review and Assessment service (HIRA) database. Each case was then matched to up to 10 controls identified using the National Health Insurance Service–National Sample Cohort (NHIS-NSC) by age, sex, and geographic region at index date. In the 12 months and 30 days prior to index date, the presence of clinical characteristics previously reported to be related to pertussis and pertussis-like conditions were assessed, respectively. A conditional multivariate logistic regression model was then used to calculate odds ratios (ORs) of pertussis diagnosis, adjusted for each of the characteristics. RESULTS: Pertussis cases (n = 1004) generally demonstrated a higher prevalence of comorbidities compared to controls (n = 9710). Pre-existing asthma and chronic obstructive pulmonary disease (COPD) within 12 months of index date were associated with a two-fold increased risk of pertussis with adjusted ORs (95% confidence interval) of 2.08 (1.68–2.58) and 2.32 (1.59–3.39), respectively. Gastroesophageal reflux disease [GERD; 2.67 (2.23–3.19)], cancer [1.68 (1.23–2.31)], cardiovascular disease [1.62 (1.31–2.00)], renal disease [1.56 (1.12–2.16)], autoimmune disease [1.50 (1.25–1.79)], and hyperlipidemia [1.43 (1.16–1.77)] were also associated with pertussis diagnosis. Finally, acute respiratory events within 30 days prior to index date, such as pneumonia, acute bronchitis, and upper respiratory tract infection (URTI), were highly associated with increased odds of pertussis diagnosis [adjusted ORs of 8.28 (5.10–13.44), 4.86 (3.84–6.14), and 2.90 (2.30–3.67), respectively]. CONCLUSIONS: This study’s findings complement and expand upon previous studies on the adult pertussis population, generating real-world data to describe underlying clinical characteristics of those diagnosed with pertussis in South Korea. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40121-022-00747-0.
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spelling pubmed-99256542023-02-15 Risk Factors of Pertussis Among Older Adults in South Korea: A Nationwide Health Data-Based Case–Control Study Kim, Hyungwoo Shin, Ju-Young Chen, Jing Kim, Ju Hwan Noh, Yunha Cheong, Hee Jin Oh, Yeon-Mok Guignard, Adrienne Shantakumar, Sumitra Infect Dis Ther Original Research INTRODUCTION: To better understand the conditions associated with pertussis diagnosis among older adults in South Korea, a matched case–control study was conducted of individuals ≥ 50 years diagnosed with pertussis between 2009 and 2018. METHODS: Pertussis cases were identified using the nationwide Health Insurance Review and Assessment service (HIRA) database. Each case was then matched to up to 10 controls identified using the National Health Insurance Service–National Sample Cohort (NHIS-NSC) by age, sex, and geographic region at index date. In the 12 months and 30 days prior to index date, the presence of clinical characteristics previously reported to be related to pertussis and pertussis-like conditions were assessed, respectively. A conditional multivariate logistic regression model was then used to calculate odds ratios (ORs) of pertussis diagnosis, adjusted for each of the characteristics. RESULTS: Pertussis cases (n = 1004) generally demonstrated a higher prevalence of comorbidities compared to controls (n = 9710). Pre-existing asthma and chronic obstructive pulmonary disease (COPD) within 12 months of index date were associated with a two-fold increased risk of pertussis with adjusted ORs (95% confidence interval) of 2.08 (1.68–2.58) and 2.32 (1.59–3.39), respectively. Gastroesophageal reflux disease [GERD; 2.67 (2.23–3.19)], cancer [1.68 (1.23–2.31)], cardiovascular disease [1.62 (1.31–2.00)], renal disease [1.56 (1.12–2.16)], autoimmune disease [1.50 (1.25–1.79)], and hyperlipidemia [1.43 (1.16–1.77)] were also associated with pertussis diagnosis. Finally, acute respiratory events within 30 days prior to index date, such as pneumonia, acute bronchitis, and upper respiratory tract infection (URTI), were highly associated with increased odds of pertussis diagnosis [adjusted ORs of 8.28 (5.10–13.44), 4.86 (3.84–6.14), and 2.90 (2.30–3.67), respectively]. CONCLUSIONS: This study’s findings complement and expand upon previous studies on the adult pertussis population, generating real-world data to describe underlying clinical characteristics of those diagnosed with pertussis in South Korea. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40121-022-00747-0. Springer Healthcare 2023-01-02 2023-02 /pmc/articles/PMC9925654/ /pubmed/36588139 http://dx.doi.org/10.1007/s40121-022-00747-0 Text en © GlaxoSmithKline Biologicals SA 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Kim, Hyungwoo
Shin, Ju-Young
Chen, Jing
Kim, Ju Hwan
Noh, Yunha
Cheong, Hee Jin
Oh, Yeon-Mok
Guignard, Adrienne
Shantakumar, Sumitra
Risk Factors of Pertussis Among Older Adults in South Korea: A Nationwide Health Data-Based Case–Control Study
title Risk Factors of Pertussis Among Older Adults in South Korea: A Nationwide Health Data-Based Case–Control Study
title_full Risk Factors of Pertussis Among Older Adults in South Korea: A Nationwide Health Data-Based Case–Control Study
title_fullStr Risk Factors of Pertussis Among Older Adults in South Korea: A Nationwide Health Data-Based Case–Control Study
title_full_unstemmed Risk Factors of Pertussis Among Older Adults in South Korea: A Nationwide Health Data-Based Case–Control Study
title_short Risk Factors of Pertussis Among Older Adults in South Korea: A Nationwide Health Data-Based Case–Control Study
title_sort risk factors of pertussis among older adults in south korea: a nationwide health data-based case–control study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925654/
https://www.ncbi.nlm.nih.gov/pubmed/36588139
http://dx.doi.org/10.1007/s40121-022-00747-0
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