Septal deviation could be associated with the development of bronchial asthma: A nationwide cohort study

You, Yeon Seok; Kim, Jong Seung; Jeong, Jae Seok; Yeom, Sang Woo; Kim, Doo Hwan; Kwon, Sam Hyun; Lee, Yong Chul

doi:10.1016/j.jaip.2021.11.002

Cited by 6 publications

(4 citation statements)

References 8 publications

(7 reference statements)

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“…From the asthma cohort (defined earlier), the control group was matched by 1:1 propensity score (PS) matching considering seven covariates, including the Charlson comorbidity index (CCI). We conducted PS matching using a "greedy nearest neighbor" algorithm with a 1:1 ratio (18)(19)(20)(21)(22)(23)(24). The success of PS matching was confirmed by standardized mean differences (SMDs) in each group (Table 1) (18)(19)(20)(21)(22)(23)(24).…”

Section: Study Design Studymentioning

confidence: 99%

“…We conducted PS matching using a "greedy nearest neighbor" algorithm with a 1:1 ratio (18)(19)(20)(21)(22)(23)(24). The success of PS matching was confirmed by standardized mean differences (SMDs) in each group (Table 1) (18)(19)(20)(21)(22)(23)(24). The initiation point for the study group was the date of the first asthma diagnosis, and that for the control group was the date of the first visit to the hospital from January 1, 2009.…”

Section: Study Design Studymentioning

confidence: 99%

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Long-term bidirectional association between asthma and attention deficit hyperactivity disorder: A big data cohort study

Park

Kim²,

Na³

et al. 2023

Front. Psychiatry

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BackgroundPrevious studies have argued that attention deficit hyperactivity disorder (ADHD) is associated with asthma. However, reliable evidence to verify this association has not yet been reported.ObjectivesTo investigate the bidirectional association between asthma and ADHD through a 12-year big data cohort study.MethodsThe independent variable group was extracted from 3.5 million individuals randomly sampled by the National Health Insurance Service (NHIS). In Study 1, the incidence of ADHD according to asthma was evaluated, while in Study 2, the incidence of asthma according to ADHD was analyzed. Propensity score (PS) matching with several variables was used to obtain a control group.Measurements and main resultsIn Study 1, the asthma group included 131,937 individuals and the non-asthma group included 131,937 individuals. The adjusted hazard ratio (aHR) for ADHD in the asthma group was 1.17 [95% confidence interval (CI): 1.11–1.23]. In subgroup analysis, the aHRs for ADHD of individuals in the subgroups male sex, 0–5 years old, 6–10 years old, atopic dermatitis, allergic rhinitis, Charlson comorbidity index (CCI) 1, and CCI > 2 were significant (aHR: 2.83, 1.70, 1.79, 1.09, 1.15, 1.06, and 1.49, respectively). In Study 2, ADHD was found to significantly affect asthma in all age groups (aHRs of the subgroups 0∼60 and 0∼17 years old were 1.10 and 1.09, respectively). In the 0∼17 years old subgroup, the association of ADHD with asthma was greater with younger age (aHRs of the subgroups 0∼5 and 6∼10 years old were 2.53 and 1.54, respectively).ConclusionFrom long-term follow-up, the incidence of ADHD was 1.17 times higher in the asthma group than in the control group. The incidence of asthma was 1.10 times higher in the ADHD group than in the control group. Asthma and ADHD have a bidirectional relationship, and childhood asthma and ADHD should be rigorously managed.

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Section: Study Design Studymentioning

confidence: 99%

Section: Study Design Studymentioning

confidence: 99%

Long-term bidirectional association between asthma and attention deficit hyperactivity disorder: A big data cohort study

Park

Kim²,

Na³

et al. 2023

Front. Psychiatry

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“…The control group was obtained from individuals over 20 years of age without periodontitis through 1:1 propensity score (PS) matching by demographics and comorbidity, at a ratio of 1:1 using the “greedy nearest neighbor” method. The success of PS matching was judged through standardized mean difference (SMD) values (Jeong et al, 2021; Yeom et al, 2021; Jeong et al, 2022; You et al, 2022).…”

Section: Methodsmentioning

confidence: 99%

Periodontitis is associated with the development of fungal sinusitis: A nationwide 12‐year follow‐up study

Kim

Kang

Lee

et al. 2022

J Clinic Periodontology

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Aim The incidence of fungal sinusitis is increasing; however, its pathophysiology has not been investigated previously. We investigate the effect of periodontitis on the incidence of fungal sinusitis over a 12‐year follow‐up period using nationwide population‐based data. Materials and Methods The periodontitis group was randomly selected from the National Health Insurance Service database. The non‐periodontitis group was obtained by propensity score matching considering several variables. The primary end point was the diagnosis of sinonasal fungal balls (SFBs) and invasive fungal sinusitis (IFS). Results The periodontitis and non‐periodontitis groups included 12,442 and 12,442 individuals, respectively. The overall adjusted hazard ratio (aHR) for SFBs in the periodontitis group was 1.46 (p = .002). In subgroup analysis, the aHR for SFBs was 1.59 (p = 0.008) for those with underlying chronic kidney disease (CKD), 1.58 (p = .022) for those with underlying atopic dermatitis, 1.48 (p = .019) for those with chronic obstructive pulmonary disease (COPD), and 1.36 (p = .030) for those with diabetes mellitus (DM), but these values are applicable only when considering the relationship between periodontitis and SFB. The aHR for IFS in the periodontitis group was higher than in the non‐periodontitis group (2.80; p = .004). Conclusions The risk of SFBs and IFS increased after diagnosis of periodontitis. This trend is often more severe in patients with DM, COPD, or CKD, but this association with underlying diseases is applicable only when considering the association between periodontitis and fungal sinusitis.

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“…The study group was defined as the ATD group and included individuals diagnosed with International Classification of Diseases, 10th revision (ICD-10) code J35 at least once. Study outcomes are based on ICD-10 codes, which is a validated approach of diagnosis ( Supplementary Table 1 ) ( 15 – 17 ). The inclusion criterion was patients diagnosed with adenoid and/or tonsillar disease between 2008 and 2010.…”

Section: Methodsmentioning

confidence: 99%

Association of adenotonsillar disease and adenotonsillectomy with the development of vitiligo: A nationwide population-based cohort study

Kim

Lee

et al. 2022

Front. Med.

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BackgroundVitiligo is a common acquired skin depigmentation disorder and is associated with various other autoimmune diseases which include thyroid disease and rheumatoid arthritis. Similarly, adenotonsillar disease (ATD) may induce inflammatory or autoimmune diseases in other organs which include the skin. However, the influence of ATD on the development of vitiligo has not been studied.ObjectivesTo determine the association between ATD and adenotonsillectomy, and the development of vitiligo.Design and methodsUsing data from the National Health Insurance Service database, patients diagnosed with ATD between 2008 and 2010 were included in the study. We performed two rounds of 1:1 propensity score matching in the ATD and adenotonsillectomy groups. The ATD and non-ATD groups both included 206,514 individuals. Among the ATD group, the adenotonsillectomy and non-adenotonsillectomy groups both included 23,354 individuals. Each individual was monitored until 2019. The primary end point was the risk of vitiligo. Using the Cox Proportional Hazards model, the incidence of vitiligo and the hazard ratio (HR) were calculated.ResultsThe incidence of vitiligo was 1.16-fold higher in the ATD group than in the non-ATD group [adjusted HR (aHR), 1.16; 95% confidence interval (CI), 1.09–1.24] and 0.82-fold lower in the adenotonsillectomy group than in the non-adenotonsillectomy group (aHR, 0.82; 95% CI, 0.68–0.99). Additionally, the other risk factors for developing vitiligo included thyroid disease (aHR, 1.48; 95% CI, 1.11–1.98), age younger than 30 years (aHR, 1.18; 95% CI, 1.09–1.27), and age over 60 years (aHR, 1.22; 95% CI, 1.06–1.41), whereas factors including rural residency (aHR, 0.91; 95% CI, 0.85–0.98) and low economic status (aHR 0.87; 95% CI, 0.82–0.93) were associated with decreased incidence of vitiligo.ConclusionIn this study, ATD increases the risk of vitiligo and adenotonsillectomy attenuates its development. Clinicians should consider ATD as a pathogenic factor for vitiligo and the potential effect of adenotonsillectomy in its management.

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Septal deviation could be associated with the development of bronchial asthma: A nationwide cohort study

Cited by 6 publications

References 8 publications

Long-term bidirectional association between asthma and attention deficit hyperactivity disorder: A big data cohort study

Long-term bidirectional association between asthma and attention deficit hyperactivity disorder: A big data cohort study

Periodontitis is associated with the development of fungal sinusitis: A nationwide 12‐year follow‐up study

Association of adenotonsillar disease and adenotonsillectomy with the development of vitiligo: A nationwide population-based cohort study

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