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Appendectomy and rheumatoid arthritis: A longitudinal follow-up study using a national sample cohort.

Abstract
The present study evaluated the association between appendectomy and rheumatoid arthritis (RA) using a national sample cohort of the Korean population. In this cohort study, the Korean National Health Insurance Service-National Sample Cohort of individuals ≥20 years old was collected from 2002 to 2013. A total of 14,995 appendectomy participants were 1:4 matched with 59,980 control subjects for age, group, sex, income group, region of residence, hypertension, diabetes, and dyslipidemia. We analyzed the occurrence of RA in both the appendectomy and control groups. Appendectomies were identified using operation codes for appendicitis only. RA was defined by International Classification of Disease-10 codes (M05 or M06) and medication histories. Crude and adjusted hazard ratios (HRs) were analyzed using a stratified Cox proportional hazard model. Subgroup analyses were performed on groups stratified by age and sex. The adjusted HR for RA was 1.02 (95% confidence interval = 0.76-1.38) in the appendectomy group (Pā€Š=ā€Š.883). In all of the subgroup analyses according to age and sex, the adjusted HRs for RA were not higher in the appendectomy group than those in the control group. We could not identify any significant relationship between appendectomy and RA.
AuthorsHyo Geun Choi, Dong Jun Oh, Miyoung Kim, Sunmi Kim, Chanyang Min, Il Gyu Kong
JournalMedicine (Medicine (Baltimore)) Vol. 98 Issue 40 Pg. e17153 (Oct 2019) ISSN: 1536-5964 [Electronic] United States
PMID31577706 (Publication Type: Journal Article, Observational Study)
Topics
  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Appendectomy (statistics & numerical data)
  • Appendicitis (surgery)
  • Arthritis, Rheumatoid (epidemiology)
  • Depression (epidemiology)
  • Dyslipidemias (epidemiology)
  • Female
  • Follow-Up Studies
  • Humans
  • Hypertension (epidemiology)
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Proportional Hazards Models
  • Residence Characteristics
  • Risk Factors
  • Sex Factors
  • Socioeconomic Factors
  • Young Adult

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