The impact of age on the implementation of evidence-based medications in patients with coronary artery disease and its prognostic significance: a retrospective cohort study.

BACKGROUND: Elderly patients with coronary artery disease (CAD) frequently complicated with more cardiovascular risk factors, but received fewer evidence-based medications (EBMs). This study explored the association of EBMs compliance in different age groups and the risk of long-term death. METHODS: A retrospective analysis was conducted from a single registered database. 2830 consecutive patients with CAD were enrolled and grouped into 3 categories by age. The primary end point was all-cause mortality and secondary endpoint is cardiovascular mortality. RESULTS: The mean follow-up time was 30.25 ± 11.89 months and death occurred in 270 cases,including 150 cases of cardiac death. Cumulative survival curves indicated that the incidence rates of all-cause death and cardiovascular death increased with age (older than 75 years old vs. 60 to 75 years old vs. younger than 60 years old, mortality: 18.7% vs. 9.6% vs. 4.1%, p < 0.001; cardiovascular mortality: 10.3% vs. 5.1% vs. 2.7%, p < 0.001). The percentage of elderly patients using no EBMs was significantly higher than the percentages in the other age group (7.7% vs. 4.6% vs. 2.2%,p < 0.05). Cox regression analysis revealed the benefit of combination EBMs (all-cause mortality: hazard ratio [HR] 0.15, 95% CI 0.08-0.27; cardiac mortality: HR 0.08, 95% CI 0.04-0.19) for older CAD patients. Similar trends were found about different kinds of EBMs in elderly patients. CONCLUSIONS: Elderly patients with CAD had higher risk of death but a lower degree of compliance with EBMs usage. Elderly CAD patients could receive more clinical benefits by using EBMs.

The impact of renal function on the prognostic value of N-terminal pro-B-type natriuretic peptide in patients with coronary artery disease.

BACKGROUND: The impact of renal function on the prognostic value of N-terminal pro-B-type natriuretic peptide (NT-proBNP) remains unclear in coronary artery disease (CAD). This study sought to investigate the value of using NT-proBNP level to predict prognoses of CAD patients with different estimated glomerular filtration rates (eGFRs). METHODS: A retrospective analysis was conducted from a single registered database. 2087 consecutive patients with CAD confirmed by coronary angiography were enrolled. The primary endpoint was allcause mortality. RESULTS: The mean follow-up time was 26.4 ± 11.9 months and death events occurred in 197 cases. The NT-proBNP levels increased with the deterioration of renal function, as well as the optimal cutoff values based on eGFR stratification to predict endpoint outcome (179.4 pg/mL, 1443.0 pg/mL, 3478.0 pg/mL, for eGFR ≥ 90, 60-90 and < 60 mL/min/1.73 m2, respectively). Compared with the routine cut-off value or overall optimal one, stratified optimal ones had superior predictive ability for endpoint in each eGFR group (all with the highest Youden's J statistics). And the prognostic value became weaker as eGFR level decreased (eGFR ≥ 90 vs. 60-90 vs. < 60 mL/min/1.73 m2, odds ratio [OR] 7.7; 95% confidence interval [CI] 1.7-33.9 vs. OR 4.8; 95% CI 2.7-8.5 vs. OR 3.0; 95% CI 1.5-6.2). CONCLUSIONS: This study demonstrated that NT-proBNP exhibits different predictive values for prognosis for CAD patients with different levels of renal function. Among the assessed values, the NT-proBNP cut-off value determined using renal function improve the accuracy of the prognosis prediction of CAD. Moreover, lower eGFR is associated with a higher NT-proBNP cut-off value for prognostic prediction.