Background We examined the impact of gout on the end-stage renal disease (ESRD) risk in patients with type 2 diabetes mellitus (T2DM) and determined whether this association differs according to chronic kidney disease (CKD) status.
Methods Using the Korean National Health Insurance Service, this nationwide cohort study enrolled 847,884 patients with T2DM who underwent health checkups in 2009. Based on the presence of CKD (estimated glomerular filtration rate <60 mL/min/1.73 m2) and gout (two outpatient visits or one hospitalization within 5 years), patients were classified into four groups: CKD−Gout−, CKD− Gout+, CKD+Gout−, and CKD+Gout+. Patients with incident ESRD were followed up until December 2018.
Results Among 847,884 patients, 11,825 (1.4%) experienced progression to ESRD. ESRD incidence increased in the following order: 0.77 per 1,000 person-years (PY) in the CKD−Gout− group, 1.34/1,000 PY in the CKD−Gout+ group, 8.20/1,000 PY in the CKD+Gout− group, and 23.06/1,000 PY in the CKD+Gout+ group. The presence of gout modified the ESRD risk in a status-dependent manner. Hazard ratios (HR) were 1.49 (95% confidence interval [CI], 1.32 to 1.69) and 2.24 (95% CI, 2.09 to 2.40) in patients without and with CKD, respectively, indicating a significant interaction (P<0.0001). The CKD+Gout+ group had a markedly higher risk of developing ESRD (HR, 18.9; 95% CI, 17.58 to 20.32) than the reference group (CKD−Gout−).
Conclusion Gout substantially enhances the risk of ESRD, even in the absence of CKD. Concurrent CKD and gout synergistically increase the risk of ESRD. Therefore, physicians should carefully screen for hyperuricemia to prevent progression to ESRD.
This cross-sectional study enrolled 267 patients with metabolic risk factors and established non-alcoholic fatty liver disease in the prospective cohort. The performance of fibrosis-4 (FIB-4) score (≥1.3) to diagnose advanced fibrosis using transient elastography (liver stiffness measurement [LSM] ≥8 kPa) was analyzed. Comparing patients with type 2 diabetes (T2D, n=87) and without (n=180), not FIB-4, but LSM was significantly higher in T2D (P=0.026). The prevalence of advanced fibrosis was 17.2% in T2D and 12.8% in non-T2D. FIB-4 exhibited higher proportion of false negatives in T2D patients (10.9%) than those without (5.2%). The diagnostic performance of FIB-4 was suboptimal in T2D (area under curve [AUC], 0.653; 95% confidence interval [CI], 0.462 to 0.844) compared to that in non-T2D (AUC, 0.826; 95% CI, 0.724 to 0.927). In conclusion, patients with T2D might be beneficial to conduct transient elastography without screening to avoid missing advanced fibrosis.
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Original Article
Diabetes, Obesity and Metabolism Big Data Articles (National Health Insurance Service Database)
Background This study aimed to investigate the long-term effects of diabetes drug costs on cardiovascular (CV) events and death.
Methods This retrospective observational study used data from 2009 to 2018 from the National Health Insurance in Korea. Among the patients with type 2 diabetes, those taking antidiabetic drugs and who did not have CV events until 2009 were included. Patients were divided into quartiles (Q1 [lowest]–4 [highest]) according to the 2009 diabetes drug cost. In addition, the 10-year incidences of CV events (non-fatal myocardial infarction, stroke, hospitalization for heart failure, and coronary revascularization) and CV death (death due to CV events) were analyzed.
Results A total of 441,914 participants were enrolled (median age, 60 years; men, 57%). CV events and death occurred in 28.1% and 8.36% of the patients, respectively. The 10-year incidences of CV events and deaths increased from Q1 to 4. After adjusting for sex, age, income, type of diabetes drugs, comorbidities, and smoking and drinking status, the risk of CV events significantly increased according to the sequential order of the cost quartiles. In contrast, the risk of CV death showed a U-shaped pattern, which was the lowest in Q3 (hazard ratio [HR], 0.953; 95% confidence interval [CI], 0.913 to 0.995) and the highest in Q4 (HR, 1.266; 95% CI, 1.213 to 1.321).
Conclusion Diabetes drug expenditure affects 10-year CV events and mortality. Therefore, affording an appropriate diabetes drug cost at a similar risk of CV is an independent protective factor against CV death.
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