Assessment of Ventilatory Management During General Anesthesia for Robotic Surgery (AVATaR)

February 10, 2020 updated by: Ary Serpa Neto, Hospital Israelita Albert Einstein

Assessment of Ventilatory Management During General Anesthesia for Robotic Surgery and Its Effects on Postoperative Pulmonary Complications: A Prospective Observational Multicenter Study

The aim of this study is to assess the incidence of postoperative pulmonary complications in patients undergoing mechanical ventilation during general anesthesia for robotic surgery, to characterize current practices of mechanical ventilation and to evaluate a possible association between ventilatory parameters and postoperative pulmonary complications.

Study Overview

Status

Completed

Intervention / Treatment

Detailed Description

Research questions:

  1. What is the incidence of PPC in patients undergoing mechanical ventilation during general anesthesia for robotic surgery?
  2. Are the outcomes in patients undergoing robotic surgery dependent on ventilation practice and surgical positioning?
  3. What is the incidence of patients at high risk for PPC undergoing robotic surgery

Methods:

In this international observational study, consecutive patients undergoing mechanical ventilation for robotic surgery are eligible for participation. Patients in participating centers will be screened on a daily basis. Patients undergoing mechanical ventilation for robotic surgery will be included during a 30-day period. The inclusion period will be flexible for participating centers and determined at a later stage together with the study-coordinator.

Time points of data collection:

  1. Demographic data and baseline data, including severity scores (e.g. ASA) and ARISCAT, are collected from the clinical files on the day of surgery
  2. Ventilation settings, gas exchange variables, positioning and vital parameters are collected hourly during surgery
  3. Chest radiography data from available chest X-rays (i.e., no extra chest X-rays are obtained)
  4. Predefined complications are recorded from medical chart until the first five postoperative days, discharge from hospital or death, whatever comes first
  5. Length of hospital stay, and hospital mortality

Centres: The investigators aim to recruit 20 - 50 centers worldwide.

Ethics Approval: National coordinators will be responsible for clarifying the need for ethics approval and applying for this where appropriate according to local policy. Centres will not be permitted to record data unless ethics approval or an equivalent waiver is in place. The investigators expect that in most, if not every participating country, a patient informed consent is not be required.

Monitoring: Due to the observational nature of the study, a DSMB is not be necessary.

Study Population: Adult patients undergoing mechanical ventilation for robotic surgery.

Data Collection: Data will be collected at inclusion, during surgery and every day during five days, and day of hospital discharge. Data will be coded by a patient identification number (PIN) of which the code will be kept safe at the local sites. The data will be transcribed by local investigators onto an internet based electronic CRF.

Sample Size Calculation: A formal sample size will not be calculated, seen the largely descriptive character of this investigation. Data from 500 patients is expected to be collected, which will be sufficient to test the hypotheses.

Statistical Analysis: Patient characteristics will be compared and described by appropriate statistics. Student's t-test or Mann-Whitney U-tests are used to compare continuous variables and chi-squared tests are used for categorical variables. Data are expressed as means (SD), medians (interquartile range) and proportions as appropriate. Comparisons between and within groups are performed using one-way ANOVA and post-hoc analyses for continuous variables.

The primary analysis concerns the determination of the incidence of postoperative pulmonary complications in patients undergoing mechanical ventilation for robotic surgery.

To identify potential factors associated with outcome like development of postoperative pulmonary complications, or death, univariable analyses will be performed. A multi-level multivariable logistic regression model will be used to identify independent risk factors. A gradual approach will be used to enter new terms into the model, with a limit of p < 0.2 to enter the terms. Time to event variables will be analyzed using Cox regression and visualized by Kaplan-Meier.

Organization: The study is conducted by the PROtective VEntilation Network (PROVENet). National co-ordinators will lead the project within individual nations and identify participating hospitals, translate study paperwork, distribute study paperwork and ensure necessary regulatory approvals are in place. They provide assistance to the participating clinical sites in trial management, record keeping and data management. Local coordinators in each site will supervise data collection and ensure adherence to Good Clinical Practice during the trial.

Study Type

Observational

Enrollment (Actual)

1015

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Gent, Belgium
        • Maria Middelares Hospital
      • São Paulo, Brazil
        • Hospital israelita Albert Einstein
      • Essen, Germany
        • Kliniken Essen-Mitte
    • North Rhine-Westphalia
      • Düsseldorf, North Rhine-Westphalia, Germany, 0511
        • University of Düsseldorf
      • Petah Tikva, Israel
        • Rabin Medical Center
      • Tel-Aviv, Israel
        • Tel-Aviv Sourasky Medical Center
      • Barcelona, Spain
        • Hospital Clinic of Barcelona
    • Community Of Madrid
      • Madrid, Community Of Madrid, Spain
        • Hospital Clínico Universitario San Carlos
    • California
      • San Francisco, California, United States, 94143
        • University of California San Francisco
    • Massachusetts
      • Boston, Massachusetts, United States, 02114
        • Massachusetts General Hospital
    • Minnesota
      • Rochester, Minnesota, United States, 55905
        • Mayo Clinic
    • Texas
      • Houston, Texas, United States, 77030
        • University of Texas MD Anderson Cancer Center

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Adult patients undergoing mechanical ventilation during general anesthesia for robotic surgery

Description

Inclusion Criteria:

  • Age ≥ 18 years
  • All surgical procedures performed under general anesthesia for robotic surgery, including head and neck operations, chest, cardiac, and abdominal surgeries

Exclusion Criteria:

  • Any procedure during pregnancy
  • Procedures outside of the operating room

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Mechanical Ventilation
Patients undergoing mechanical ventilation during robotic surgery
Mechanical ventilation during robotic surgery

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Incidence of postoperative pulmonary complications
Time Frame: Five days or until hospital discharge, whichever occurs first
Composite of five postoperative pulmonary complications
Five days or until hospital discharge, whichever occurs first

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mechanical ventilation practice
Time Frame: Intraoperatively
Mechanical ventilation practice in patients submitted to general anesthesia for robotic surgery
Intraoperatively
Mechanical ventilation practice and postoperative pulmonary complications
Time Frame: Five days or until hospital discharge, whichever occurs first
Association between mechanical ventilation practice and development of postoperative pulmonary complications
Five days or until hospital discharge, whichever occurs first
Surgical positioning and ventilation
Time Frame: Intraoperatively
Association between surgical positioning and ventilatory parameters
Intraoperatively
Patients at high risk for postoperative pulmonary complications
Time Frame: Pre-operatively
Incidence of patients at high risk for postoperative pulmonary complications according to the ARISCAT score
Pre-operatively
Mechanical ventilation practice and intraoperative complications
Time Frame: Intraoperatively
Association between mechanical ventilation practice and development of intraoperative complications
Intraoperatively

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Chair: Ary Serpa Neto, MD, MSc, PhD, Department of Critical Care Medicine, Hospital Israelita Albert Einstein
  • Study Director: Veronica NF Queiroz, MD, AVATaR Study Coordinator, Anesthesiology, Hospital Israelita Albert Einstein
  • Principal Investigator: Luiz Guilherme V da Costa, MD, PhD, Anesthesiology, Hospital Israelita Albert Einstein
  • Principal Investigator: Rogério P Barbosa, MD, Anesthesiology, Hospital Israelita Albert Einstein
  • Principal Investigator: Flavio Takaoka, MD, Anesthesiology, Hospital Israelita Albert Einstein
  • Principal Investigator: Luc de Baerdemaeker, MD, PhD, Department of Anesthesiology and Perioperative Medicine; Ghent University Hospital - Ghent University; Ghent, Belgium
  • Principal Investigator: Daniel S Cesar, MD, Anesthesiology, Hospital Israelita Albert Einstein
  • Principal Investigator: Ulisses C D'Orto, MD, Anesthesiology, Hospital Israelita Albert Einstein
  • Principal Investigator: José Roberto Galdi, MD, PhD, Anesthesiology, Hospital Israelita Albert Einstein
  • Principal Investigator: Vijaya Gottumukkala, MD, PhD, Department of Anesthesiology and Perioperative Medicine; The University of Texas MD Anderson Cancer Center; Houston, Texas, USA
  • Principal Investigator: Sabrine NT Hemmes, MD, PhD, Department of Anaesthesiology; Academic Medical Center; University of Amsterdam; Amsterdam, The Netherlands
  • Principal Investigator: Markus W Hollmann, MD, PhD, Department of Anaesthesiology; Academic Medical Center; University of Amsterdam; Amsterdam, The Netherlands
  • Principal Investigator: Alain Kalmar, MD, PhD, Department of Anesthesia and Intensive Care Medicine; Maria Middelares Hospital; Ghent, Belgium
  • Principal Investigator: Renato M Mariano, MD, PhD, Anesthesiology, Hospital Israelita Albert Einstein
  • Principal Investigator: Idit Matot, MD, PhD, Division of Anesthesiology, Intensive Care and Pain; Tel Aviv Medical Center and the Sackler Faculty of Medicine; Tel Aviv University; Tel Aviv, Israel
  • Principal Investigator: Guido Mazzinari, MD, Department of Anaesthesiology; Manises General Hospital; Manises, Spain
  • Principal Investigator: Gary H Mills, MD, PhD, Department of Anaesthesia and Critical Care Medicine; Sheffield Teaching Hospital; Sheffield, UK
  • Principal Investigator: Irimar P Posso, MD, PhD, Anesthesiology, Hospital Israelita Albert Einstein
  • Principal Investigator: Alexandre Teruya, MD, PhD, Anesthesiology, Hospital Israelita Albert Einstein
  • Principal Investigator: Marcos Francisco Vidal Melo, MD, PhD, Department of Anesthesia, Critical Care and Pain Medicine; Massachusetts General Hospital; Harvard Medical School; Boston, MA, USA
  • Principal Investigator: Paolo Pelosi, MD, FERS, Department of Surgical Sciences and Integrated Diagnostics; IRCCS San Martino IST; University of Genoa; Genoa, Italy
  • Principal Investigator: Marcelo Gama de Abreu, MD, PhD, Pulmonary Engineering Group; Department of Anesthesiology and Intensive Care Medicine; University Hospital Carl Gustav Carus; Technische Universität Dresden; Dresden, Germany
  • Principal Investigator: Marcus J Schultz, MD, PhD, Department of Intensive Care; Academic Medical Center; University of Amsterdam; Amsterdam. The Netherlands

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

August 3, 2017

Primary Completion (ACTUAL)

March 15, 2019

Study Completion (ACTUAL)

January 15, 2020

Study Registration Dates

First Submitted

December 7, 2016

First Submitted That Met QC Criteria

December 7, 2016

First Posted (ESTIMATE)

December 12, 2016

Study Record Updates

Last Update Posted (ACTUAL)

February 12, 2020

Last Update Submitted That Met QC Criteria

February 10, 2020

Last Verified

February 1, 2020

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

The data will be available for substudies suggested by members of the collaboration.

IPD Sharing Time Frame

After the publication of the main manuscript

IPD Sharing Access Criteria

The data will be available for substudies suggested by members of the collaboration.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ICF
  • ANALYTIC_CODE
  • CSR

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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