A principal component analysis of coagulation after trauma

被引:93
作者
Kutcher, Matthew E. [1 ]
Ferguson, Adam R. [2 ]
Cohen, Mitchell J. [1 ]
机构
[1] San Francisco Gen Hosp, Dept Surg, San Francisco, CA 94110 USA
[2] Univ Calif San Francisco, Dept Neurol Surg, Brain & Spinal Injury Ctr BASIC, San Francisco, CA USA
关键词
Coagulopathy; principal components analysis; fibrinolysis; HYPOPERFUSION; COAGULOPATHY; MORTALITY;
D O I
10.1097/TA.0b013e31828b7fa1
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
BACKGROUND: Clotting factor abnormalities underlying acute traumatic coagulopathy are poorly understood, with application of traditional regression techniques confounded by colinearity. We hypothesized that principal components analysis (PCA), a pattern-finding and data reduction technique, would identify clinically predictive patterns in the complex clotting factor milieu after trauma. METHODS: Plasma was prospectively collected from 163 critically injured trauma patients. Prothrombin; factors V, VII, VIII, IX, X; D-dimer; activated and native protein C; and antithrombin III levels were assayed and subjected to nonlinear PCA to identify principal components (PCs). RESULTS: Of 163 patients, 19.0% were coagulopathic on admission. PCA identified 3 significant PCs, accounting for 67.5% of overall variance. PC1 identified global clotting factor depletion; PC2 the activation of protein C and fibrinolysis; and PC3 factor VII elevation and VIII depletion. PC1 score correlated with penetrating injury and injury severity, predicting coagulopathy (odds ratio [OR], 4.67; p < 0.001) and mortality (OR, 1.47; p = 0.032). PC2 score correlated with injury severity, acidosis, and shock, and significantly predicted ventilator-associated pneumonia (OR, 1.59; p = 0.008), acute lung injury (OR, 2.24; p < 0.001), multiorgan failure (OR, 1.83; p = 0.002), and mortality (OR, 1.62; p = 0.006) but was not associated with international normalized ratio (INR)-based or partial thromboplastin time (PTT)-based coagulopathy (p > 0.200). PC3 did not significantly predict outcomes. CONCLUSION: PCA identifies distinct patterns of coagulopathy: depletion coagulopathy predicts mortality and INR/PTT elevation, while fibrinolytic coagulopathy predicts infection, end-organ failure, and mortality, without detectable differences in INR or PTT. While depletion coagulopathy is intuitive, fibrinolytic coagulopathy may be a distinct but often overlapping entitywith differential effects on outcomes. (Copyright (c) 2013 by Lippincott Williams & Wilkins)
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页码:1223 / 1229
页数:7
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