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2000
Volume 24, Issue 44
  • ISSN: 1381-6128
  • E-ISSN: 1873-4286

Abstract

This study investigates the efficiency and predictive value of light-transmission aggregometry (LTA), vasodilator-stimulated phosphoprotein (VASP) and VerifyNow for ischemia in patients undergoing percutaneous coronary intervention (PCI). Studies that used LTA, VASP or VerifyNow to predict ischemia were included, and their quality and efficiency were analyzed using Review Manager 5.3. The sensitivity and specificity of subgroup studies based on the outcome, cut-off value, and follow-up days were calculated and the summary ROC (sROC) curves were compared after having been fitted. Thirty-one studies including a total of 17,314 participants were analyzed. LTA, VASP and VerifyNow presented a considerable efficiency in predicting ischemic clinical events. In the subgroup analysis, the sensitivities of LTA, VASP and VerifyNow in predicting cardiac death, all-cause death, myocardial infarction, stent thrombosis, stroke, and revascularization were 0.40/0.63/0.62, 0.47/0.56/0.39, 0.40/0.48/0.60, 0.44/0.58/0.70, 0.29/not applicable/0.60 and 0.44/0.57/0.37, respectively and the specificities of LTA, VASP, and VerifyNow were 0.85/0.48/0.63, 0.73/0.52/0.63, 0.74/0.55/0.64, 0.75/0.47/0.61, 0.72/not applicable/ 0.61, and 0.70/0.47/0.67, respectively. LTA showed a higher sensitivity in predicting the outcomes over six months than those within six months, while VerifyNow prediction sensitivity was found to be higher within six months. Meanwhile, VerifyNow showed no statistically significant higher AUC of sROC in comparison to LTA and VASP in predicting ischemic events in patients undergoing clopidogrel treatment. The cut-off values of LTA, VASP and VerifyNow were suggested to be 56%, 50% and 235 respectively according to our study.

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/content/journals/cpd/10.2174/1381612825666190206114724
2018-12-01
2025-07-04
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/content/journals/cpd/10.2174/1381612825666190206114724
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  • Article Type:
    Review Article
Keyword(s): ischemic events; LTA; PCI; ROC; VASP; VerifyNow
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