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Wanchun Tang

Researcher at Virginia Commonwealth University

Publications -  323
Citations -  12701

Wanchun Tang is an academic researcher from Virginia Commonwealth University. The author has contributed to research in topics: Cardiopulmonary resuscitation & Ventricular fibrillation. The author has an hindex of 54, co-authored 317 publications receiving 12189 citations. Previous affiliations of Wanchun Tang include Shanghai Jiao Tong University & Xi'an Jiaotong University.

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δ-Opioid–induced pharmacologic myocardial hibernation during cardiopulmonary resuscitation

TL;DR: TheMyocardial metabolism reflected by the concentration of lactate, or myocardial tissue Pco2 and Po2, is dramatically reduced during cardiac arrest and cardiopulmonary resuscitation, and these are associated with less severe postresuscitation myocardia dysfunction and longer duration of postResuscitation survival.
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Levosimendan improves postresuscitation myocardial dysfunction after β-adrenergic blockade

TL;DR: Investigation of the potential value of a non-beta-adrenergic inotropic drug, levosimendan, in conjunction with propranolol, for minimizing postresuscitation myocardial dysfunction after successful resuscitation from cardiac arrest found that when levosIMendan was added, postrescue contractile function was improved even more.
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Optimizing the duration of CPR prior to defibrillation improves the outcome of CPR in a rat model of prolonged cardiac arrest

TL;DR: After prolonged VF, optimal duration of CPR prior to defibrillation guided by AMSA improves the outcome of CPR and is associated with significantly better post-resuscitation myocardial and neurological function and longer durations of survival.
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Delayed high-quality CPR does not improve outcomes

TL;DR: The outcomes after immediate LQ CPR, were better than those after delayed HQ CPR in this rat model of cardiac arrest and resuscitation.
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Automated detection of ventricular fibrillation to guide cardiopulmonary resuscitation.

TL;DR: Although the proposed algorithm has a lesser predictive value for VF detection than the uncorrupted ECGs in clinical settings, it has the major potential for automated rhythm identification to guide defibrillation without repetitive interruptions of CPR.