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An optimal intraoperative fluid replacement reduces the hospital stay, the admissions in the intensive care unit and the mortality rate after a major surgery. Different criteria are used to guide the optimal vascular filling of a patient. Among the various monitoring for the last twenty years are parameters originating from the respiratory variations of the arterial pressure curves and the pulse oximetry. On arterial curves, the Systolic Pressure Variation (SPV) is the difference between the maximum systolic pressure (DeltaUp) and the minimal one (DeltaDown).On the oxygen saturometry curves obtained with the Masimo Radical7, the plethysmographic variability index (PVI) corresponds to the formula (PImax-PImin/PImax X 100%) where PI corresponds to the quotient expressed in % between the pulsed infrared absorption signal and the continuous absorption signal. It has been demonstrated that the dynamic indexes were better than the static indexes to determine the response to the vascular filling. A meta-analysis showed that the dynamic changes of the variables derived from the arterial pressure curve of patients under mechanic ventilation could predict the vascular filling responsiveness with a high specificity and sensibility. The same thing applies to the variables derived from the pulsed oxymetry curves. Furthermore, monitoring and minimizing, through the vascular filling, the variations of the pulsated arterial pressure (delta PP) induced by the mechanic ventilation during a high risk surgery allows to reduce the postoperative complications and the hospital length of stay. This has not yet been proved for the non invasive parameters (IP and PVI). The goal of this study is thus to compare a non invasive strategy (based on PVI) to an invasive strategy (based on the deltaPP) of perioperatory filling during abdomino-pelvic interventions (digestive, gynecologic, urologic), in order to test their equivalence and measure their impact in terms of hospital stay. This record is linked to the NCT02709252 record and share the same cohort of patients.