Adherence and Compliance to ERAS in Gynecological Surgery (ERASGYNBS002)

January 24, 2024 updated by: Federico Ferrari, Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia

Adherence and Compliance to ERAS in Gynecological Surgery as Predictor of Postoperative Complications

The aim of the study is to investigate the association between early non-compliance to ERAS in postoperative day 2 (POD2) with the rate of postoperative complications.

Study Overview

Detailed Description

The aim of this prospective multicenter observational study is to investigate the association between the early non-compliance to ERAS in postoperative day 2 (POD2) with the rate of postoperative complications, in women undergoing open surgery for gynecological cancer.

Every POD is defined from 8.00 AM of the same day until 8.00 AM of the day after. Namely, POD0 is the day of surgery, while POD1 is the first day after surgery and so on.

According to the ERAS protocol the same day of surgery (POD0) the patients should be mobilized out of bed and allowed to take liquids by mouth at will. Removal of urinary catheter and starting of oral feeding is planned on POD1. Intravenous fluid infusion is stopped as early as possible according to oral feeding recovery at POD1.

POD2 is considered more adequated to measure the early ERAS compliance compared to POD1. In fact, according to previous published data in colonic surgery, a small delay in recovery within an ERAS pathway in POD1, can be the reflection of inadvertent intraoperative fluid overload, inadequate control pain and missing nausea and vomiting prophylasis. Moreover, late end time of surgery can further impair the full application of ERAS during POD1.

The compliance of the participants will be assessed in POD2 using the following 5 indicators derived from ERAS items.

  1. Poorly controlled pain with NRS>3, measured using a dedicated Patient Reported Outcomes form administered at 8 PM of POD2, covering the last 12 hours. The need of rescue dose of antalgic therapy does not affect the status of poorly controlled pain.
  2. Failure to remove urinary catheter, namely the manteinance of the catether after 8.00 AM of POD2.
  3. Administration of intravenous infusion as hydration therapy after 8.00 AM of POD2.
  4. Failure to have an adequate oral intake (namely refusal of having one or more of the proposed meals, producing hence a calories deficit).
  5. Poor mobilization, defined as less than 4 hours outside the bed during whole POD2.

Any postoperative complications will be recorded up to 30 days and classified according to Clavien Dindo classification. Complications graded as III or greater were considered as major.

STATISTICAL PLAN

According to the literature, the complication rate for gynecological surgery in the oncological field under the ERAS protocol is around 25%. A sample of 600 patients produces a 95% confidence interval ranging from 21.5% to 28.5%, with an estimate precision (semi-width of the confidence interval) equal to 3.5%.

Based on the five ERAS indicators of compliance as predictors (independent variables), the sample size is calculated using the generic rule of 10 events for each independent variable (15 variables), corresponding to 150 events. Considering the aforementioned complication rate (25%), the sample must be at least 600 patients. Reasoning on a single ERAS item represented in about 40% of the patients, a number of 600 guarantees to highlight an OR equal to 2.5 in a logistic model that considers other independent binary variables with a correlation of 0.7 between them.

The collected data will first be synthesized using the tools of descriptive statistics, with categorical variables synthesized through absolute and relative frequencies, and quantitative variables through mean ± standard deviation, or median and interquartile range. The complication rate will be summarized in terms of proportion (percentage) with relative 95% confidence interval calculated using the Clopper-Pearson estimator. The chi-square test, with Fisher's exact variant in the case of expected frequencies less than 5, will be used to evaluate the association between categorical variables and i) adherence to ERAS (in terms of the number of indicators considered) and ii) the primary outcome (complications). For normally distributed quantitative variables the ANOVA test will be used; in the absence of the normality assumption underlying the test, the Kruskal-Wallis non-parametric test will be employed. Appropriate post-hoc comparisons, taking into account test multiplicity (multiples), will be conducted to identify ERAS item "pairs" that show statistical significance with the primary outcome.

The logistic regression model will be used to quantify the association and magnitude between the five ERAS indicators considered individually and the primary outcome represented by the presence of postoperative complications. An ordinal variable will also be constructed, with values from 1 to 5, which summarizes adherence to the five ERAS indicators. The magnitude of the association between the five ERAS indicators will first be quantified in terms of Odds Ratio (OR) and related confidence interval in a univariate setting, and then in a multivariate model that will consider the above adjustment variables. In the construction of the multivariate model, methods for choosing the predictors will be taken into consideration, such as the backward (and/or stepwise) technique. The results of the regression model will also be graphically represented through the "confidence-interval plot", a graphical representation that summarizes the punctual estimate of the OR and its 95% confidence interval. All analyzes will be performed considering a type I error α equal to 5%.

Study Type

Observational

Enrollment (Estimated)

600

Contacts and Locations

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

Study Contact

Study Locations

    • BS
      • Brescia, BS, Italy, 25123
        • Recruiting
        • Federico Ferrari
        • Contact:
        • Principal Investigator:
          • Federico Ferrari, MD, PhD

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 to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Women affected by hystological confirmed gynecological cancer treated with open access surgery.

Description

Inclusion criteria:

  • histological diagnosis of primary or recurrent gynecological cancer (endometrial, uterine, tubo-ovarian and cervical cancer);
  • perioperative management according to ERAS guidelines;
  • age 18-75;
  • open access surgery.

Exclusion criteria:

  • postoperative recovery in intensive care unit (planned or unplanned);
  • Covid19 positive status known at the moment of surgery;
  • minimally invasive access surgery or palliative surgery;
  • prior pelvic radiotherapy;
  • hyperthermic intraperitoneal chemotherapy;
  • previous abdominal surgery (excluding appendectomy and primary surgery for gynecological malignancy);
  • pelvic exenteration or lateral extended endopelvic resection (LEER).

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
Women affected by gynecological cancer.
Women affected by confirmed gynecological cancer treated with open access surgery and managed according to ERAS guidelines.
Assessment of compliance to ERAS in postoperative day 2 (POD2) using five indicators based on ERAS items and association with postoperative complications up to 30 days after discharge.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Early non-compliance to ERAS
Time Frame: Postoperative day 2 (POD2)
Association between the early non-compliance to ERAS with the rate of postoperative complications.
Postoperative day 2 (POD2)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Early non-compliance to ERAS in tubo-ovarian cancer
Time Frame: Postoperative day 2 (POD2)
Subgroup analysis association between the early non-compliance to ERAS with the rate of postoperative complications in women undergoing surgery for tubo-ovarian cancer
Postoperative day 2 (POD2)

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Federico Ferrari, MD, PhD, University of Brescia, Italy

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)

May 30, 2023

Primary Completion (Estimated)

March 31, 2025

Study Completion (Estimated)

March 31, 2025

Study Registration Dates

First Submitted

February 13, 2023

First Submitted That Met QC Criteria

February 13, 2023

First Posted (Actual)

February 22, 2023

Study Record Updates

Last Update Posted (Actual)

January 25, 2024

Last Update Submitted That Met QC Criteria

January 24, 2024

Last Verified

January 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

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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