Development of an optimized multimarker strategy for early risk assessment of patients with acute coronary syndromes

被引:42
作者
Moeckel, Martin [1 ]
Danne, Oliver [2 ]
Mueller, Reinhold [3 ]
Vollert, Jorn O. [1 ]
Muller, Christian [4 ]
Lueders, Christian [1 ]
Stoerk, Thomas [5 ]
Frei, Ulrich [2 ]
Koenig, Wolfgang [6 ]
Dietz, Rainer [1 ]
Jaffe, Allan S. [7 ]
机构
[1] Charite Univ Med Berlin, Dept Cardiol, D-13353 Berlin, Germany
[2] Charite Univ Med Berlin, Dept Nephrol Intens Care Med, D-13353 Berlin, Germany
[3] James Cook Univ, Sch Publ Hlth Trop Med, Townsville, Qld, Australia
[4] Charite Univ Med Berlin, Inst Clin Chem, D-13353 Berlin, Germany
[5] Karl Olga Hosp, Dept Cardiol Angiol & Internal Intens Care, Stuttgart, Germany
[6] Univ Ulm, Med Ctr, Dept Cardiol, Ulm, Germany
[7] Mayo Clin, Cardiovasc Dis & Lab Med, Rochester, MN USA
关键词
acute coronary syndrome; emergency department; early risk stratification; multi marker approach; choline; NT-proBNP; classification and regression trees;
D O I
10.1016/j.cca.2008.03.022
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Background: A multitude of biomarkers have been suggested for early risk-assessment in patients admitted to the emergency department with suspected acute coronary syndromes. We used logistic regression synergistically with classification and regression tree (CART) analysis to define a multimarker strategy and the cut-off values and sequencing needed to optimize risk stratification in a low to moderate risk population of the emergency department. Methods: 432 unselected patients (59.7 +/- 14.5 y, 60.4% male) admitted to the emergency department (ED) with acute coronary syndromes (ACS) were enrolled. Cardiac troponin I (cTnI), N-terminal pro-B-Type natriuretic peptide (NT-proBNP), high sensitivity C-reactive protein (hsCRP), placental growth factor (PIGF), lipoprotein-associated phospholipase A(2) (Lp-PLA(2)) and D-dimers were measured by immunoassay and whole blood choline (WBCHO) and plasma choline (PLCHO) were measured using LC/MS from baseline samples. Logistic regression and CART analysis were used to define the importance of the various biomarkers tested and to define their hierarchy with respect to the prediction of major adverse cardiac events (MACE; cardiac death, non-fatal MI, unstable angina, CHIF requiring admission, urgent PCI and CABG) over the 42-day follow-up period. Results: A combination of NT-proBNR WBCHO and Lp-PLA2 with cutoffs identified by CART-analysis was optimal for risk-stratification and superior to all other possible combinations of markers. Increased concentrations of both NT-proBNP (>1400 ng/l) and WBCHO (>21 mu mol/l) identified patients with very high risk (RR=2.4, 39% primary endpoint) while low concentrations of NT-proBNP (:51400 ng/l), WBCHO (:517 mu mol/l) and LP-PLA2 (<= 210 mu g/l) indicated very low risk (0% primary endpoint). WBCHO >17 mu mol/l additionally identified a subgroup with intermediate risk (RR=3.0,13.5% primary endpoint) in patients with NT-proBNP concentrations <= 1400 ng/l. Troponin when increased was highly prognostic but was not often positive in this early cohort. Conclusions: A multimarker strategy defined synergistically by logistic regression and by classification and regression tree (CART) analysis can stratify patients into risk groups ranging from very low risk (0% MACE) to very high risk (39.5% MACE) based on admission values. (c) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:103 / 109
页数:7
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