2011
DOI: 10.1016/j.resuscitation.2011.02.013
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Correlations between hemodynamic, oxygenation and tissue perfusion parameters during asphyxial cardiac arrest and resuscitation in a pediatric animal model

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Cited by 14 publications
(13 citation statements)
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References 27 publications
(36 reference statements)
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“…Few authors have investigated the relationship between cardiac output and regional spectroscopy data. A study based on an experimental model of swine asphyxia [17] using femoral TPTD found a weak correlation of the CI with both rSO 2 c (r = 0.26) and rSO 2 r (r = 0.23). On the other hand, Butha et al [4] reported a better correlation between the CI obtained using pulmonary artery catheterization and rSO 2 c (r = 0.45) in 29 stable patients after heart transplantation.…”
Section: Discussionmentioning
confidence: 99%
“…Few authors have investigated the relationship between cardiac output and regional spectroscopy data. A study based on an experimental model of swine asphyxia [17] using femoral TPTD found a weak correlation of the CI with both rSO 2 c (r = 0.26) and rSO 2 r (r = 0.23). On the other hand, Butha et al [4] reported a better correlation between the CI obtained using pulmonary artery catheterization and rSO 2 c (r = 0.45) in 29 stable patients after heart transplantation.…”
Section: Discussionmentioning
confidence: 99%
“…There are no studies examining the correlation between global hemodynamic and tissue perfusion parameters during cardiac arrest and resuscitation (30,31). A study showed that global hemodynamic parameters do not correlate with oxygenation and tissue perfusion values (18); there may be cardiac dysfunction after ROSC with coronary blood flow not reducing the condition. Thus, it is necessary to monitor the microcirculatory blood flow of the myocardium to evaluate treatment effectiveness.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, it is necessary to monitor the microcirculatory blood flow of the myocardium to evaluate treatment effectiveness. The new PET tracer, 18 F-flurpiridaz, with high myocardial extraction, allows quantitative MBF estimation from dynamic PET data and tracer kinetic modeling (32). MPI is a simple and noninvasive method for detecting myocardial ischemia, monitoring MBF after ROSC.…”
Section: Discussionmentioning
confidence: 99%
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