苅尾 七臣

BACKGROUND: Polypharmacy is associated with an increased risk of adverse events due to the higher number of drugs used. This is particularly notable in patients with chronic coronary syndrome (CCS), who are known to use a large number of drugs. Therefore, we investigated polypharmacy in patients with CCS, using CLIDAS, a multicenter database of patients who underwent percutaneous coronary intervention. METHOD AND RESULTS: Between 2017 and 2020, 1411 CCS patients (71.5 ± 10.5 years old; 77.3 % male) were enrolled. The relationship between cardiovascular events occurring during the median follow-up of 514 days and the number of drugs at the time of PCI was investigated. The median number of drugs prescribed was nine. Major adverse cardiovascular events (MACE), defined as cardiovascular death, myocardial infarction, stroke, heart failure, transient ischemic attack, or unstable angina, occurred in 123 patients, and all-cause mortality occurred in 68 patients. For each additional drug, the adjusted hazard ratios for MACE and all-cause mortality increased by 2.069 (p = 0.003) and 1.102 (p = 0.010). The adjusted hazard ratios for MACE and all-cause mortality were significantly higher in the group using nine or more drugs compared to the group using eight or fewer drugs (1.646 and 2.253, both p < 0.001). CONCLUSION: This study showed that an increase in the number of drugs used for CCS may be associated with MACE and all-cause mortality. In patients with CCS, it might be beneficial to minimize the number of medications as much as possible, while managing comorbidities and using guideline-recommended drugs.

BACKGROUND: Previous studies with several limitations have comparatively analyzed the relationship between ambulatory blood pressure (BP) and self-measured BP and biomarkers of organ damage. This study extends this line of research by examining the relationship between ambulatory and self-measured BP and cardiac, renal, and atherosclerotic biomarkers in outpatients at cardiovascular risk. METHODS: In 1,440 practice outpatients who underwent office, ambulatory, and self-measured BP monitoring, we assessed the relationships of each BP with organ damage biomarkers including b-type natriuretic peptide (BNP), echocardiographic left ventricular mass index (LVMI), urine-albumin-creatinine ratio (UACR), and brachial-ankle pulse wave velocity (baPWV). RESULTS: In the comparison of correlation, self-measured systolic BP (SBP) was more strongly correlated to log-transformed (Ln) BNP (n=1,435; r=0.123 vs. r = -0.093, P<0.001), LVMI (n=1,278; r=0.223 vs. r=0.094, P<0.001), Ln-UACR (n=1,435; r=0.244 vs. r=0.154, P=0.010), and baPWV (n=1,360; r=0.327 vs. r=0.115, P<0.001) than daytime ambulatory SBP. In the linear regression models including office, ambulatory, and self-measured SBP, only self-measured SBP was significantly related to Ln-BNP (P=0.016) and LVMI (P<0.001). In the logistic regression models for the top quartile of LVMI, adding self-measured SBP improved the model predictability (P=0.027), but adding daytime ambulatory SBP did not. However, adding daytime ambulatory SBP improved the model predictability in the logistic model including office and self-measured SBP. CONCLUSIONS: Our study findings suggested that self-measured BP was associated with cardiac biomarkers independent of ambulatory BP.