AB1053 CARDIOVASCULAR RISKS AND MORTALITY IN KOREAN PATIENTS WITH GOUT

Background Gout is associated with an increased risk of cardiovascular comorbidities and premature mortality. Many epidemiologic studies support association between gout diverse diseases. There has been no study on risks mortality in Korean patients large scale data. Therefore, we intended to investigate the each specific disease patient national insurance database. The purpose this gout. Objectives Methods Using National Health Insurance Service data, conducted a cohort patients. were defined as those aged ≥ 20 years who diagnosed 2009 2010, control matched (1:1 ratio) after frequency matching for age, sex index year. Primary outcomes ischemic heart (IHD), acute myocardial infarction (AMI), congestive failure (CHF), cerebrovascular (CVD), cerebral infarction, hemorrhage, or transient attack (TIA). Secondary all-cause We calculated hazard ratio (HR) Cox regression, adjusting potential confounders. Results This included 3,306 equal number controls. Multivariate regression analysis showed that IHD (HR 1.860, 95% CI 1.446-2.392), AMI 3.246, 1.460-7.217), CVD 1.552, 1.177-2.036) sex, laboratory findings, comorbidities, medication (Table 1). However, statistical differences not found CHF, TIA, mortality, Table 1. proportional HRs Outcome HR P-value Ischemic 1.860 1.446-2.392 <0.001 Acute 3.246 1.460-7.217 0.004 Congestive 1.399 0.853-2.295 0.183 Cerebrovascular 1.552 1.177-2.046 0.002 Cerebral 1.061 0.687-1.637 0.790 hemorrhage 0.779 0.283-2.145 0.629 Transient 1.233 0.651-2.336 0.521 All-cause 1.199 0.737-1.952 0.465 Cardiovascular 1.377 0.452-4.188 0.573 HR, ratio; CI, confidence interval. Conclusion Our increased, especially IHD, CVD. References [1]Kuo CF, See LC, Luo SF, Ko YS, Lin et al. 2010. Gout: independent factor Rheumatology (Oxford ) 49:141-6 [2]Kuo SF. 2017. Risk death unchanged years. Nat Rev Rheumatol 13:200-1 [3]Jung JH, Song GG, Ji JD, Lee YH, Kim 2018. Metabolic syndrome: prevalence factors J Intern Med 33:815-22 [4]Lee J, JS, Park SH, Shin SA, K. Cohort Profile: Service-National Sample (NHIS-NSC), South Korea. Int Epidemiol 46:e15 [5]Huang CL, Wang TW, Chen YC, Hu JM, Ku PM, 2021. infarction: evidence from competing model analysis. Investig 69:1161-7 [6]Krishnan E, Baker JF, Furst DE, Schumacher HR. 2006. infarction. Arthritis Rheum 54:2688-96 [7]Liu SC, Xia L, Zhang Lu XH, DK, 2015. Myocardial Infarction: A Systematic Review Meta-Analysis Studies. PLoS One 10:e0134088 Disclosure Interests None declared