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Estimated Oxygen Extraction Versus Dynamic Parameters for Perioperative Hemodynamic Optimization

Estimated Oxygen Extraction Versus Dynamic Parameters for Perioperative Hemodynamic Optimization of Patients Undergoing Non-cardiac Surgery: a Non-inferiority Randomized Controlled Trial

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04053595
Enrollment
200
Registered
2019-08-12
Start date
2020-06-30
Completion date
2021-12-31
Last updated
2020-03-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Morality, Perioperative/Postoperative Complications

Keywords

Peri-operative goal-directed therapy, Hemodynamic optimization, Postoperative complications, Mortality

Brief summary

The aim of the study is to evaluate the complications rate of high risk patients undergoing non-cardiac surgery that receive two different protocols of hemodynamic optimization. A group of patients receive a protocol based on dynamic parameters of fluid responsiveness; the other group of patients receive a protocol based of the optimization of oxygen extraction. The hypothesis is that a perioperative hemodynamic optimization protocol based on oxygen extraction is not inferior to a protocol based on dynamic parameters of fluid responsiveness considering the complication rate developed postoperatively.

Detailed description

Any surgical intervention is a trauma for the organism and a stress response is activated to cope the external insult. This stress response is responsible of an increase in oxygen consumption. If patient is not able to overcome the deficit in oxygen consumption (VO2) during the first hours postoperatively, he/she will go toward complications (in case of delay to meet metabolic demand) or death (in case of persistent VO2 deficit). Therefore, several protocols have been developed to optimise haemodynamic parameters with the aim to reduce tissue hypoperfusion coming from maldistribution or inadequate perfusion and meet the increased metabolic need as soon as possible. Every patient that probably will not be able to face the surgical stress himself might benefit from modulation of haemodynamic parameters. Actually, goal directed therapy (GDT) is able to improve survival only in high-risk surgical patients. Instead, the reduction of complications rate has been shown also in intermediate-risk population. Originally, hemodynamic optimisation protocols were developed to reach supranormal value for cardiac output (CO), oxygen delivery (DO2) and VO2. Based on the concept that oxygen extraction rate (O2ER) reflects the balance between DO2 and VO2, a GDT protocol based on O2ER estimation (O2ERe) calculated as (SaO2-ScvO2)/SaO2 has been proposed showing a significantly lower number of organ failure postoperatively compared with control group. The major determinants of DO2 are cardiac output (CO), haemoglobin level (Hb) and arterial oxygen saturation (SaO2). An inadequate CO may be optimised using fluids as first line therapy and then inotropes. In mechanically ventilated patients, heart-lung interaction is useful to recognise in which portion of the Frank-Starling curve the heart of the patient is working and then if CO is able to rise after fluid administration aimed to increase preload. Several parameters based on mini-invasive monitor systems are available to assess fluid responsiveness such as pulse pressure variation (PPV) and stroke volume variation (SVV).

Interventions

DIAGNOSTIC_TESTDynamic parameters of fluid responsiveness protocol

Dynamic parameter of fluid responsiveness (pulse pressure variation/stroke volume variation) are used to optimize hemodynamics intraoperatively and during the first 6 hours postoperatively when appropriate. A cutoff of 12% is used to predict an increase of stroke volume \>10% after fluid administration.

DIAGNOSTIC_TESTEstimated oxygen extraction protocol

Oxygen extraction is estimated by the difference of arterial oxygen saturation and central venous oxygen saturation divided by arterial oxygen saturation. A cutoff of 27% is used as a marker of inadequate tissue perfusion requiring hemodynamic optimization.

Sponsors

Università Politecnica delle Marche
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
DOUBLE (Subject, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* patients undergoing general anesthesia and mechanical ventilation for elective major open abdominal surgery (gastrointestinal, urologic, gynecologic and vascular surgery) * expected duration of surgical procedure higher than 120 minutes * ASA II-III-IV * planned postoperative ICU/HDU admission

Exclusion criteria

* \<18 years old * pregnancy * arrhythmia * arterial curve alteration (resonance, damping) not solvable * palliative surgical procedures * denial of consent

Design outcomes

Primary

MeasureTime frameDescription
Complications rateFrom date of randomization until the date of hospital discharge assessed up to 90 daysEvaluate the difference of postoperative complications rate between the two groups

Secondary

MeasureTime frameDescription
Fluid administeredImmediately after the surgery, 6 hours postoperatively and at the date of ICU/HDU discharge assessed up to 90 daysEvaluate the difference of total amount of fluids administered during the perioperative period between the two groups
Fluid balanceImmediately after the surgery, 6 hours postoperatively and at the date of ICU/HDU discharge assessed up to 90 daysEvaluate the difference of fluid balance (difference between fluid administered and fluid loss) during postoperative period between the two groups
Vasopressor/inopropic drugsImmediately after the, 6 hours postoperatively and at the date of ICU/HDU discharge assessed up to 90 daysEvaluate the difference in needs of vasopressor/inotropic drugs (reporting mean dosage used) between the two groups
Hospital length of stayFrom date of randomization until the date of hospital discharge or death from any cause assessed up to 90 daysEvaluate the difference of total number of days of hospital stay between the two groups
Mortality at day 28Day 28 from randomizationEvaluate the difference of mortality rate at day 28 between the two groups

Countries

Italy

Contacts

Primary ContactAbele Donati, MD, PhD
a.donati@univpm.it+390715963858

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 27, 2026