Barra Sérgio, Providência Rui, Faustino Catarina, Paiva Luís, Fernandes Andreia, Leitão Marques António
Cardiology Department, Papworth Hospital NHS Foundation Trust, Papworth Everard,Cambridge CB23 3RE, UK.
Cardiology Department, Clinique Pasteur,Toulouse,France.
J Atr Fibrillation. 2013 Oct 31;6(3):896. doi: 10.4022/jafib.896. eCollection 2013 Oct-Nov.
Renal dysfunction is a strong predictor of adverse events in patients with atrial fibrillation (AF). The Cokcroft-Gault, Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease-Epidemiology Collaboration (CKD-EPI) equations are available for estimating the glomerular filtration rate (GFR). No comparisons between these equations have yet been performed in patients with non-valvular AF concerning their mid-term prognostic performance. Cross-sectional study of 555 consecutive patients with non-valvular AF undergoing transesophageal echocardiogram. We tested the prognostic performance of the aforementioned GFR estimation formulae, namely their ability to predict all-cause mortality (primary endpoint) and major cardiac adverse or ischemic cerebrovascular events (secondary endpoints) during an average follow-up of 24 months. Regarding the primary endpoint, Cockcroft-Gault (AUC=0.749±0.028) was superior to both MDRD (AUC=0.624±0.039) and CKD-EPI (AUC=0.641±0.034) [p<0.001 both comparisons] while CKD-EPI was superior to MDRD (p=0.011). Cockcroft-Gault was marginally superior to both MDRD (AUC=0.673±0.049 vs. AUC=0.586±0.054, p=0.041) and CKD-EPI (AUC=0.673±0.049 vs. AUC=0.604±0.054, p=0.063) in the prediction of ischemic cerebrovascular events, while no difference was found between CKD-EPI and MDRD. Concerning AUC for prediction of MACE, Cockcroft-Gault was superior to MDRD (p=0.009) and CKD-EPI (p=0.012), while CKD-EPI was similar to MDRD (p=0.215). Multivariate predictive models consistently included Cockcroft-Gault formula along with CHADS, excluding the other two equations. Measures of reclassification revealed a significant improvement in risk stratification for all studied endpoints with Cockcroft-Gault instead of CKD-EPI. In patients with non-valvular AF, the Cockcroft-Gault more appropriately classified individuals with respect to risk of all-cause mortality, ischaemic cerebrovascular event and major adverse cardiac event.
肾功能不全是心房颤动(AF)患者不良事件的有力预测指标。Cockcroft-Gault公式、肾脏疾病饮食改良(MDRD)公式和慢性肾脏病流行病学协作组(CKD-EPI)公式可用于估算肾小球滤过率(GFR)。尚未对这些公式在非瓣膜性AF患者中的中期预后性能进行比较。对555例连续接受经食管超声心动图检查的非瓣膜性AF患者进行横断面研究。我们测试了上述GFR估算公式的预后性能,即它们在平均24个月随访期间预测全因死亡率(主要终点)和主要心脏不良或缺血性脑血管事件(次要终点)的能力。关于主要终点,Cockcroft-Gault公式(AUC = 0.749±0.028)优于MDRD公式(AUC = 0.624±0.039)和CKD-EPI公式(AUC = 0.641±0.034)[两项比较p均<0.001],而CKD-EPI公式优于MDRD公式(p = 0.011)。在预测缺血性脑血管事件方面,Cockcroft-Gault公式略优于MDRD公式(AUC = 0.673±0.049 vs. AUC = 0.586±0.054,p = 0.041)和CKD-EPI公式(AUC = 0.673±0.049 vs. AUC = 0.604±0.054,p = 0.063),而CKD-EPI公式和MDRD公式之间未发现差异。关于预测主要不良心血管事件(MACE)的AUC,Cockcroft-Gault公式优于MDRD公式(p = 0.009)和CKD-EPI公式(p = 0.012),而CKD-EPI公式与MDRD公式相似(p = 0.215)。多变量预测模型始终将Cockcroft-Gault公式与CHADS一起纳入,排除了其他两个公式。重新分类测量显示,用Cockcroft-Gault公式代替CKD-EPI公式,所有研究终点的风险分层有显著改善。在非瓣膜性AF患者中,Cockcroft-Gault公式在全因死亡率、缺血性脑血管事件和主要心脏不良事件风险方面对个体的分类更合适。