Pieringer Herwig, Pohanka Erich, Puchner Rudolf, Brummaier Tobias
Kepler University Hospital, 2nd Department of Internal Medicine, Academic Research Unit, Linz, Austria; Paracelsus Private Medical University Salzburg, Salzburg, Austria.
Kepler University Hospital, 2nd Department of Internal Medicine, Academic Research Unit, Linz, Austria.
Rev Bras Reumatol Engl Ed. 2017 Sep-Oct;57(5):452-460. doi: 10.1016/j.rbre.2017.06.001. Epub 2017 Jul 4.
Rheumatoid arthritis (RA) patients should receive cardiovascular (CV) risk assessment. For this purpose CV risk calculators are available. In addition, parameters of vascular function can be measured and used for risk prediction. Aim of the present study was to assess the association of these two concepts.
287 RA patients (58.4±12.6 years) and 232 controls (49.9±13.4 years) were included in this cross-sectional study. We calculated 10 year CV risk with SCORE and QRISK2. For SCORE we used the recommended multiplier of 1.5 in eligible RA patients and estimated the risk also in patients younger than 40 years (mSCORE (0-65)). Augmentation index (AIx) and central pulse pressure (PP), markers of vascular integrity and CV risk, were assessed by pulse wave analysis (PWA). Primary endpoint was the correlation of AIx and the estimated CV risk using mSCORE (0-65).
In RA patients AIx showed a statistically significant correlation with mSCORE (0-65) (rho=0.3374; p<0.0001) and QRISK2 (rho=0.3307; p<0.0001). The correlations of central PP with mSCORE (0-65) (rho=0.4692; p<0.0001) and QRISK2 (rho=0.5828; p<0.0001) were also statistically significant. Increasing quartiles of central PP were associated with an increased odds of being in the "high risk" category according to SCORE (OR 2.18; 95% CI 1.58-3.01) or QRISK2 (OR 2.18; 95% CI 1.75-2.72). In control patients we also found a correlation of AIx and central PP with SCORE (0-65) and QRISK2.
Parameters of central haemodynamics correlate with calculated CV risk. However, both do not give exactly the same information. The question arises whether a combination of both concepts would result in an improved CV risk prediction.
类风湿关节炎(RA)患者应接受心血管(CV)风险评估。为此,有可用的CV风险计算器。此外,血管功能参数可以进行测量并用于风险预测。本研究的目的是评估这两个概念之间的关联。
本横断面研究纳入了287例RA患者(58.4±12.6岁)和232例对照者(49.9±13.4岁)。我们使用SCORE和QRISK2计算10年CV风险。对于SCORE,我们在符合条件的RA患者中使用推荐的1.5倍乘数,并对40岁以下患者(mSCORE(0 - 65))也估计了风险。通过脉搏波分析(PWA)评估增强指数(AIx)和中心脉压(PP),这两者是血管完整性和CV风险的标志物。主要终点是AIx与使用mSCORE(0 - 65)估计的CV风险之间的相关性。
在RA患者中,AIx与mSCORE(0 - 65)(rho = 0.3374;p < 0.0001)和QRISK2(rho = 0.3307;p < 0.0001)显示出统计学显著相关性。中心PP与mSCORE(0 - 65)(rho = 0.4692;p < 0.0001)和QRISK2(rho = 0.5828;p < 0.0001)的相关性也具有统计学意义。根据SCORE(比值比2.18;95%可信区间1.58 - 3.01)或QRISK2(比值比2.18;95%可信区间1.75 - 2.72),中心PP四分位数增加与处于“高风险”类别几率增加相关。在对照患者中,我们也发现AIx和中心PP与SCORE(0 - 65)和QRISK2存在相关性。
中心血流动力学参数与计算出的CV风险相关。然而,两者提供的信息并不完全相同。问题在于这两个概念的组合是否会导致CV风险预测得到改善。