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Increased risk of gallstones after appendectomy: A longitudinal follow-up study using a national sample cohort.


ABSTRACT: To evaluate the association between appendectomy and the occurrence of gallstones using a national sample cohort from Korea.The Korean National Health Insurance Service-National Sample Cohort was collected from 2002 to 2013. We extracted data for patients who had undergone appendectomy (n?=?14,955) and a 1:4 matched control group (n?=?59,820) and then analyzed the occurrence of gallstones. The patients were matched according to age, sex, income, region of residence, hypertension, diabetes mellitus, and history of dyslipidemia. Appendectomies were identified using operation codes (Q2860-Q2863) for appendicitis alone (International Classification of Disease-10: K35). Gallstones were diagnosed if the corresponding International Classification of Disease-10 code (K80) was reported ?2 times. Crude (simple) and adjusted hazard ratios (HRs) were analyzed using stratified Cox proportional hazard models, and 95% confidence intervals were calculated. Subgroup analyses were performed based on age, sex, and time period after appendectomy.The adjusted HR for gallstones was 1.78 (95% confidence interval?=?1.51-2.09, P?

SUBMITTER: Kim SY 

PROVIDER: S-EPMC7253851 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Increased risk of gallstones after appendectomy: A longitudinal follow-up study using a national sample cohort.

Kim So Young SY   Lim Hyoseob H   Park Bumjung B   Lim Hyun H   Kim Miyoung M   Kong Il Gyu IG   Choi Hyo Geun HG  

Medicine 20200501 20


To evaluate the association between appendectomy and the occurrence of gallstones using a national sample cohort from Korea.The Korean National Health Insurance Service-National Sample Cohort was collected from 2002 to 2013. We extracted data for patients who had undergone appendectomy (n = 14,955) and a 1:4 matched control group (n = 59,820) and then analyzed the occurrence of gallstones. The patients were matched according to age, sex, income, region of residence, hypertension, diabetes mellit  ...[more]

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