Risk Factors of Pertussis Among Older Adults in South Korea: A Nationwide Health Data-Based Case–Control Study
Abstract 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 nati...
Auteurs principaux: | , , , , , , , , |
---|---|
Format: | Article |
Langue: | English |
Publié: |
Adis, Springer Healthcare
2023-01-01
|
Collection: | Infectious Diseases and Therapy |
Sujets: | |
Accès en ligne: | https://doi.org/10.1007/s40121-022-00747-0 |
_version_ | 1827983179273732096 |
---|---|
author | Hyungwoo Kim Ju-Young Shin Jing Chen Ju Hwan Kim Yunha Noh Hee Jin Cheong Yeon-Mok Oh Adrienne Guignard Sumitra Shantakumar |
author_facet | Hyungwoo Kim Ju-Young Shin Jing Chen Ju Hwan Kim Yunha Noh Hee Jin Cheong Yeon-Mok Oh Adrienne Guignard Sumitra Shantakumar |
author_sort | Hyungwoo Kim |
collection | DOAJ |
description | Abstract 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. |
first_indexed | 2024-04-09T22:44:40Z |
format | Article |
id | doaj.art-3e9ab1fb7d8c43c38a34c7f5c55e2c50 |
institution | Directory Open Access Journal |
issn | 2193-8229 2193-6382 |
language | English |
last_indexed | 2024-04-09T22:44:40Z |
publishDate | 2023-01-01 |
publisher | Adis, Springer Healthcare |
record_format | Article |
series | Infectious Diseases and Therapy |
spelling | doaj.art-3e9ab1fb7d8c43c38a34c7f5c55e2c502023-03-22T11:56:32ZengAdis, Springer HealthcareInfectious Diseases and Therapy2193-82292193-63822023-01-0112254556110.1007/s40121-022-00747-0Risk Factors of Pertussis Among Older Adults in South Korea: A Nationwide Health Data-Based Case–Control StudyHyungwoo Kim0Ju-Young Shin1Jing Chen2Ju Hwan Kim3Yunha Noh4Hee Jin Cheong5Yeon-Mok Oh6Adrienne Guignard7Sumitra Shantakumar8GSKSchool of Pharmacy, Sungkyunkwan UniversityGSKSchool of Pharmacy, Sungkyunkwan UniversitySchool of Pharmacy, Sungkyunkwan UniversityDepartment of Internal Medicine, Korea University College of MedicineDepartment of Pulmonology and Critical Care Medicine, Asan Medical Center, University of Ulsan College of MedicineGSKGSKAbstract 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.https://doi.org/10.1007/s40121-022-00747-0AdultsAsthmaCOPDPertussisRisk factorsSouth Korea |
spellingShingle | Hyungwoo Kim Ju-Young Shin Jing Chen Ju Hwan Kim Yunha Noh Hee Jin Cheong Yeon-Mok Oh Adrienne Guignard Sumitra Shantakumar Risk Factors of Pertussis Among Older Adults in South Korea: A Nationwide Health Data-Based Case–Control Study Infectious Diseases and Therapy Adults Asthma COPD Pertussis Risk factors South Korea |
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 | Adults Asthma COPD Pertussis Risk factors South Korea |
url | https://doi.org/10.1007/s40121-022-00747-0 |
work_keys_str_mv | AT hyungwookim riskfactorsofpertussisamongolderadultsinsouthkoreaanationwidehealthdatabasedcasecontrolstudy AT juyoungshin riskfactorsofpertussisamongolderadultsinsouthkoreaanationwidehealthdatabasedcasecontrolstudy AT jingchen riskfactorsofpertussisamongolderadultsinsouthkoreaanationwidehealthdatabasedcasecontrolstudy AT juhwankim riskfactorsofpertussisamongolderadultsinsouthkoreaanationwidehealthdatabasedcasecontrolstudy AT yunhanoh riskfactorsofpertussisamongolderadultsinsouthkoreaanationwidehealthdatabasedcasecontrolstudy AT heejincheong riskfactorsofpertussisamongolderadultsinsouthkoreaanationwidehealthdatabasedcasecontrolstudy AT yeonmokoh riskfactorsofpertussisamongolderadultsinsouthkoreaanationwidehealthdatabasedcasecontrolstudy AT adrienneguignard riskfactorsofpertussisamongolderadultsinsouthkoreaanationwidehealthdatabasedcasecontrolstudy AT sumitrashantakumar riskfactorsofpertussisamongolderadultsinsouthkoreaanationwidehealthdatabasedcasecontrolstudy |