TY - JOUR
T1 - Combined anatomical and clinical factors for the long-term risk stratification of patients undergoing percutaneous coronary intervention: the Logistic Clinical SYNTAX score
AU - Farooq, V
AU - Vergouwe, Yvonne
AU - Raber, L
AU - Vranckx, Pascal
AU - Garcia-Garcia, H
AU - Diletti, Roberto
AU - Kappetein, Arie-Pieter
AU - Morel, Marie-Angele
AU - de Vries, T (Ton)
AU - Swart, M
AU - Valgimigli, M (Marco)
AU - Dawkins, KD
AU - Windecker, S
AU - Steyerberg, Ewout
AU - Serruys, PWJC (Patrick)
PY - 2012
Y1 - 2012
N2 - Background The SYNTAX score (SXscore), an anatomical-based scoring tool reflecting the complexity of coronary anatomy, has established itself as an important long-term prognostic factor in patients undergoing percutaneous coronary intervention (PCI). The incorporation of clinical factors may further augment the utility of the SXscore to longer-term risk stratify the individual patient for clinical outcomes. Methods and results Patient-level merged data from >6000 patients in seven contemporary coronary stent trials was used to develop a logistic regression model-the Logistic Clinical SXscore-to predict 1-year risk for all-cause death and major adverse cardiac events (MACE). A core model (composed of the SXscore, age, creatinine clearance, and left ventricular ejection fraction) and an extended model [incorporating the core model and six additional (best performing) clinical variables] were develope Conclusion The Logistic Clinical SXscore substantially enhances the prediction of 1-year mortality after PCI compared with the SXscore, and allows for an accurate personalized assessment of patient risk.
AB - Background The SYNTAX score (SXscore), an anatomical-based scoring tool reflecting the complexity of coronary anatomy, has established itself as an important long-term prognostic factor in patients undergoing percutaneous coronary intervention (PCI). The incorporation of clinical factors may further augment the utility of the SXscore to longer-term risk stratify the individual patient for clinical outcomes. Methods and results Patient-level merged data from >6000 patients in seven contemporary coronary stent trials was used to develop a logistic regression model-the Logistic Clinical SXscore-to predict 1-year risk for all-cause death and major adverse cardiac events (MACE). A core model (composed of the SXscore, age, creatinine clearance, and left ventricular ejection fraction) and an extended model [incorporating the core model and six additional (best performing) clinical variables] were develope Conclusion The Logistic Clinical SXscore substantially enhances the prediction of 1-year mortality after PCI compared with the SXscore, and allows for an accurate personalized assessment of patient risk.
U2 - 10.1093/eurheartj/ehs295
DO - 10.1093/eurheartj/ehs295
M3 - Article
C2 - 23048195
SN - 0195-668X
VL - 33
SP - 3098-+
JO - European Heart Journal
JF - European Heart Journal
IS - 24
ER -