A novel approach to define risk of stent thrombosis after percutaneous coronary intervention with drug-eluting stents: the DERIVATION score

被引:20
作者
Capodanno, Davide [1 ]
Capranzano, Piera [1 ]
Bucalo, Rita [1 ]
Sanfilippo, Alessandra [1 ]
Ruperto, Cettina [1 ]
Caggegi, Anna [1 ]
Ussia, Gianpaolo [1 ]
Galassi, Alfredo Ruggero [1 ]
Tamburino, Corrado [1 ]
机构
[1] Univ Catania, Ferrarotto Hosp, Dept Internal Med & Syst Dis, Clin Div Cardiol, I-95124 Catania, Italy
关键词
drug-eluting stents; stent thrombosis; predictive score; ACUTE MYOCARDIAL-INFARCTION; THROMBOLYTIC THERAPY; SIROLIMUS; IMPLANTATION; MULTICENTER; PREDICTORS; MODELS; TRIALS;
D O I
10.1007/s00392-009-0753-2
中图分类号
R5 [内科学];
学科分类号
100201 [内科学];
摘要
Recent studies of drug-eluting stents (DES) use in routine clinical practice have led to concern regarding their long-term safety and to questions about the adequacy of current antiplatelet therapy guidelines. This study sought to derivate a risk score for predicting stent thrombosis after drug-eluting stenting. The large single center DES Real-world Incremental Value in the erA of percutaneous revascularizaTION (DERIVATION) database, collecting data about 1,377 patients of any age undergoing PCI with DES as treatment for symptomatic coronary artery disease, was use for this purpose. Logistic regression and bootstrap procedure were used to select correlates of stent thrombosis that were subsequently weighted and integrated into an integer scoring system. Five variables selected from the initial multivariate model were weighted proportionally to their respective odds ratio for stent thrombosis [baseline left ventricular ejection fraction < 50% (4 points), angioplasty in the setting of acute coronary syndromes (3 points), bifurcation lesion (2 points), left anterior descending as target vessel (2 points), multiple stenting (2 points)]. Three strata of risk were defined (low risk, 0-2; intermediate risk, 3-6; high risk a parts per thousand yen7) with good prognostic accuracy for early, late and very late thrombosis (c statistic = 0.75, 0.65 and 0.73, respectively) in the derivation set. In conclusion, the DERIVATION score may be used as a simple clinical tool for the identification of a sizable cohort in whom close monitoring and aggressive therapy may be beneficial.
引用
收藏
页码:240 / 248
页数:9
相关论文
共 23 条
[1]
Bootstrap methods for developing predictive models [J].
Austin, PC ;
Tu, JV .
AMERICAN STATISTICIAN, 2004, 58 (02) :131-137
[2]
A clinical risk score for prediction of stent thrombosis [J].
Baran, Kenneth W. ;
Lasala, John M. ;
Cox, David A. ;
Song, Aijun ;
Deshpande, Mahesh C. ;
Jacoski, Mary V. ;
Mascloli, Stephen R. .
AMERICAN JOURNAL OF CARDIOLOGY, 2008, 102 (05) :541-545
[3]
Is late stent thrombosis in drug-eluting stents a real clinical issue? A single-center experience and review of the literature [J].
Carlsson, J. ;
von Wangenheim, B. ;
Linder, R. ;
Anwari, T. M. ;
Qvist, J. ;
Petersson, I. ;
Magounakis, T. ;
Lagerqvist, B. .
CLINICAL RESEARCH IN CARDIOLOGY, 2007, 96 (02) :86-93
[4]
Intraprocedural stent thrombosis during implantation of sirolimus-eluting stents [J].
Chieffo, A ;
Bonizzoni, E ;
Orlic, D ;
Stankovic, G ;
Rogacka, R ;
Airoldi, F ;
Mikhail, GW ;
Montorfano, M ;
Michev, I ;
Carlino, M ;
Colombo, A .
CIRCULATION, 2004, 109 (22) :2732-2736
[5]
Cutlip DE, 2001, CIRCULATION, V103, P1967
[6]
Clinical end points in coronary stent trials - A case for standardized definitions [J].
Cutlip, Donald E. ;
Windecker, Stephan ;
Mehran, Roxana ;
Boam, Ashley ;
Cohen, David J. ;
van Es, Gerrit-Anne ;
Steg, P. Gabriel ;
Morel, Marie-angele ;
Mauri, Laura ;
Vranckx, Pascal ;
McFadden, Eugene ;
Lansky, Alexandra ;
Hamon, Martial ;
Krucoff, Mitchell W. ;
Serruys, Patrick W. .
CIRCULATION, 2007, 115 (17) :2344-2351
[7]
Risk score for percutaneous coronary intervention: Forewarned is forearmed [J].
de Feyter, PJ ;
McFadden, E .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2003, 42 (10) :1729-1730
[8]
GLAGOV S, 1988, ARCH PATHOL LAB MED, V112, P1018
[9]
Prediction of mortality after primary percutaneous coronary intervention for acute myocardial infarction - The CADILLAC risk score [J].
Halkin, A ;
Singh, M ;
Nikolsky, E ;
Grines, CL ;
Tcheng, JE ;
Garcia, E ;
Cox, DA ;
Turco, M ;
Stuckey, TD ;
Na, YG ;
Lansky, AJ ;
Gersh, BJ ;
O'Neill, WW ;
Mehran, R ;
Stone, GW .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2005, 45 (09) :1397-1405
[10]
THE IMPORTANCE OF ASSESSING THE FIT OF LOGISTIC-REGRESSION MODELS - A CASE-STUDY [J].
HOSMER, DW ;
TABER, S ;
LEMESHOW, S .
AMERICAN JOURNAL OF PUBLIC HEALTH, 1991, 81 (12) :1630-1635