Augmented Pulse Pressure Variation to Predict Fluid Responsiveness in Open Laparotomy

Pulse Pressure Variation With Augmented Ventilation to Predict Fluid Responsiveness in the Patients Undergoing Open Laparotomy Surgery

NCT02653469•Samsung Medical Center

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Summary

Pulse pressure variation (PPV) is a well-known and widely used dynamic preload indicator based on heart-lung interaction to predict fluid responsiveness. Generally, patients are considered to be fluid-responsive when the PPV value larger than 11-13%. However, several previous researches demonstrated that there is a zone of uncertainty (grey zone) in PPV. To predict fluid-responsiveness accurately in the patients with PPV within grey zone (9-13%), the investigators would evaluate the augmented PPV using augmented ventilation.

Eligibility

Age

20 - 80 years

Sex

ALL

Healthy Volunteers

Inclusion Criteria

•Adult patients undergoing elective open laparotomy surgery.

Exclusion Criteria

•Irregular heart beats,
•cardiac arrhythmia,
•moderate or severe valvular heart disease,
•preoperative left ventriular ejection fraction less than 40%,
•moderate t severe obstructive pulmonary disease,
•preoperative need of inotropics infusion,
•preoperative serum Cr \> 1.3ml/dl,
•moderate to severe renal or liver disease,
•acute lung injury or acute lung problem,
•coexisting open chest condition,
+2 more criteria

Locations (1)

Samsung Medical Center

Seoul, South Korea

Key Dates

Start Date

September 1, 2015

Primary Completion Date

February 1, 2016

Completion Date

February 1, 2016

Last Updated

March 4, 2016

Enrollment

ACTUAL participants

Conditions

Gynecologic NeoplasmsAbdominal Neoplasms

Interventions

Augmented ventilation

OTHER

Fluid loading

OTHER

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Data Source & Attribution

This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.

ClinicalTrials.gov last update: March 4, 2016Data synced to Clareo: March 29, 2026

Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.

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