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And after a 500 ml fluid load.
Variations were calculated after passive leg raising and after the fluid load.
The registry lacked of data about fluid load administered and hemodynamic monitor directing fluid resuscitation.
Passive leg raising simulates a fluid load with the great advantage to be reversible.
Additional high fluid load and a positive balance are highly associated with mortality.
Digitalized CRT variation during a passive leg raising predict CRT variation after a fluid load.
CI responsiveness was define as an increase of 15%% of the CI after the fluid load.
The primary end point was the ability of EtCO2 variation after a 500-ml fluid load to diagnose fluid responsiveness.
ΔEtCO2, ΔMAP, and ΔHR are the variation % of each hemodynamic parameter after a 500-ml fluid load.
Correlation between CRT variation after passive leg raising and after the fluid load was r = 0.74 (p < 0.001).
Our method is, in our knowledge, the first to predict the effect of a fluid load on tissue perfusion.
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