ELIPTO-2: Intraoperative Hemodynamic Management and Postoperative Outcomes in Liver Transplantation

Sponsor
Centre hospitalier de l'Université de Montréal (CHUM) (Other)
Overall Status
Recruiting
CT.gov ID
NCT04732689
Collaborator
McGill University Health Centre/Research Institute of the McGill University Health Centre (Other), Toronto General Hospital (Other), London Health Sciences Centre (Other), University of Alberta (Other), Queen Elizabeth II Health Sciences Centre (Other), Hopital Paul Brousse (Other), Pitié-Salpêtrière Hospital (Other)
500
1
23.5
21.3

Study Details

Study Description

Brief Summary

The overarching objective of the research program entitled ELIPTO (Enhancing Liver Insufficiency and Postoperative Transplantation Outcomes) (www.elipto.ca) is to improve the perioperative care of liver transplant recipients. One of this program's purposes is to better define the effects of intraoperative hemodynamic management on postoperative outcomes in adult liver transplant recipients. In this study, the incidence of postoperative complications within this population will be defined in Canada and France and the association between intraoperative hemodynamics and postoperative outcomes will be measured.

Liver transplantation improves the survival of patients with end-stage liver disease (ESLD). It is the second most transplanted organ with a continuously increasing annual number of transplantations, an observation partly explained by an endemic ESLD etiology in the United States, the obesity-related non-alcoholic steatohepatitis (NASH) cirrhosis. In recent decades, although sicker patients are prioritized, survival has improved possibly through an overall improvement in the quality of care. However, postoperative complications have concomitantly increased. On average, liver transplant recipients suffer from more than three postoperative complications, mainly infectious, pulmonary, renal or graft-related, two thirds of them being severe. In a low-risk patients cohort, close to 60% of all patients suffered from at least one severe complication up to 6 months after surgery. Such complications increase mortality, readmissions and cost of care. Organs available for transplantation are a scarce resource; up to 10% of grafts are no longer functional after one year. Interventions that improve patients' postoperative and graft outcomes are needed and few perioperative ones are supported by high-quality evidence.

Condition or Disease Intervention/Treatment Phase

    Detailed Description

    OBJECTIVES:

    The main objective of this study is to describe and measure the effects of intraoperative hemodynamic management on postoperative outcomes in liver transplantation in Canada and France.

    The specific objectives are:
    1. To describe the overall incidence of postoperative complications and graft outcomes in adult liver transplant recipients in Canada and France and across different recipients' characteristics.

    2. To measure the effects of fluid balance, within an overall hemodynamic instability and management strategy, on the postoperative outcomes of liver transplant recipients in Canada and France.

    The central hypotheses of this study are that an intraoperative hemodynamic management based on a restrictive fluid administration may improve postoperative outcomes in this population.

    EXPOSURE VARIABLES:

    The exposures of interest will be the intraoperative fluid balance and the intraoperative doses and types of vasopressors used. Fluid balance will be defined as the sum of the volume of administered crystalloids, colloids and blood product transfusions minus drained ascites, intraoperative diuresis and bleeding. Doses of administered vasopressors will be converted into a time-weighted total norepinephrine equivalent dose calculated as the total equipotent units of norepinephrine administered as an infusion divided by the number of hours the infusion was given during the period between entrance in the operating room and end of surgery. Types of vasopressors used will also be collected. Since a restrictive fluid management strategy is associated with a higher use of vasopressors and vice versa, both variables may covary together. However, more difficult surgeries will be associated with higher blood loss, higher volume of administered fluid and higher doses of vasopressors. The combination of these two variables will help estimate the intraoperative hemodynamic management strategy used and delineate the effects of each component.

    OTHER DESCRIPTIVE VARIABLES:

    Other patients' characteristics and perioperative practices variables will be captured for descriptive purposes. Recipients' demographic characteristics (age, sex), anthropometric variables (body mass index (BMI)), the presence of any previous abdominal surgery, presence of hepatic encephalopathy, need for preoperative organ support or any preoperative hospital admission will be collected as well. Data on the perioperative use of invasive cardiac output monitoring (thermodilution catheter, transoesophageal echocardiography, etc.), as well as coagulation management (use of thromboelastometry, tranexamic acid, transfusion thresholds, etc.) will be collected. Other donor and graft variables, such as donor sex, donor's BMI, the type of vascular and biliary anastomoses, the use of extended-criteria donor graft, the use of ex vivo perfusion, ischemia time, the practice of donation after circulatory death (donor characteristics, heparin usage, etc.) and the perioperative use of liver biopsies will also be collected.

    DESCRIPTIVE AND STATISTICAL ANALYSIS:

    Missing data The investigators will train all sites regarding quality of data collection and will emphasize the importance of complete data collection. In case a complete case analysis would exclude more than 5% of the observations, the investigators will use multiple imputations by chained equations using 5 to 20 imputated datasets assuming MAR (missingness at random) on the covariables and the outcomes. In case of any missing outcome, the investigators will not include imputated outcomes in the analyses.

    Descriptive analyses and complications incidences across centers:

    The cumulative incidences of different complications will be described. The main descriptive analysis will be to report these incidences overall as well as across denominated centers. For each complication, the investigators will first compute a chi-square test for each complication to test if the variation across centre is statistically significant. Secondly, investigators will estimate multivariable determination models for each complication by fitting generalized mixed effect models using a logit link adjusted for age, sex, disease severity (MELD) and the DRI with an estimated random-effect for clustering within centres. The investigators will then compute intra-class correlation (ICC) coefficients to better define the variability of complications across centres (heterogeneity). However, investigators will fit a Cox regression with a frailty factor for biliary complications.Finally, the investigators will fit a generalized mixed effect model using a log link and quasi-Poisson distribution for the total number of complications up to 30 days per patient with an estimated random effect for clustering within centres The secondary exploratory analyses will be to report the cumulative incidence of each complications according to age categories (< 50, 50-60, >60), sex, nature and severity of liver disease (chronic liver disease (CLF), acute liver failure (ALF), retransplantation and MELD categories among CLD patients (< 20, 20-30, >30). Such incidences per subgroups will be reported with 95% confidence intervals. The investigators will also report survival up to 6 months over and across centres by fitting a Cox regression with a frailty factor.

    Association between hemodynamic management and postoperative complications:

    The primary association analysis will be the association between fluid balance and primary graft dysfunction by 7 days after transplantation using a multivariable mixed-effect model using a logistic link and random intercepts to estimate inter-centre variability and intra-cluster correlation, adjusted for the time-weighted dose of vasopressors and the aforementioned confounders, and estimated using residualized penalized quasi-likelihood. The investigators will consider any patient needing a retransplantation within 7 days after the index transplantation as having a primary graft dysfunction.

    The secondary main analysis will be the association between fluid balance and time to biliary non-anastomotic strictures using a multivariable Fine and Gray model, adjusted for the same confounders, with retransplantation and death (not caused by the biliary non-anastomotic strictures) considered as competing risks. The intra-cluster correlation will be addressed using a frailty factor. The second transplantation of any patient performed during the observation period will have been excluded by design to avoid intra-patient correlation.

    The other secondary analyses will be the association between fluid balance and other outcomes, including the total number of complications up to 30 days, using similar adjusted survival models (with frailty factors) or generalized mixed effect models (with random intercepts). Statistical interaction will be explored between fluid balance and the vasopressors dose variable. Risk proportionality over time will be explored using the Harrel and Lee test and a visual inspection of the Schoenfeld residuals.

    Sensitivity analyses For the primary outcome, the main secondary outcome and the total number of complications at 30 days, the investigators will first conduct a sensitivity analysis using a generalized propensity score for fluid balance (based on probability density) that will include all confounders and the vasopressor exposure and estimate a marginal effect of fluid balance using an inverse probability of treatment weighting with stabilized weights. The investigators will evaluate the confounding effect of hypotension by removing it from the models as well as by a sensitivity analysis restricted in the subgroup of patients without significant residual hypotension (< 150 min*Hg). The investigators will conduct influential analyzes to explore the robustness of their findings by alternatively excluding patients transplanted for acute liver failure, those who received a living donor graft or cadaveric donor graft after cardiocirculatory arrest, and those with severe chronic renal failure (glomerular filtration rate < 15 mL/hour/1.73 m2 or on dialysis).

    Finally, the investigators will conduct all analyses by adding data from the French centres to explore the variation in the estimates created by adding non-Canadian centres.

    Economic analysis:

    An economic analysis to evaluate hospital costs associated with the observed incidences of postoperative complications will be conducted. The costs associated with our fluid balance exposure effect will be analyzed. Costs will be those associated with the actual procedures, as determined by every hospital using its account systems, and include both fixed and variable components previously identified as major cost drivers (mechanical ventilation days, LOS, reoperation and ICU readmission).

    SAMPLE SIZE

    Based on clinical trials in major surgery, a relative difference of 25% for all complications was considered minimally clinically significant. If investigators assume an overall 7-day proportion (cumulative) incidence of primary graft dysfunction of 25% at the mean of fluid balance and a relative increase of 25% of this complication (absolute increase of 6.25%) by increasing the fluid balance by 1 standard deviation, a sample of 475 will be necessary (power = 90%, R2 of the covariables on the main exposure = 0,1).Since random effects have a minimal impact on the sample size when the intervention is not cluster randomized, the investigators did not take it into account in the sample size calculation. To prevent potential seasonal variability in organ procurement, have more power in case of missing data or a slightly lower than expected incidence of the primary outcome, the investigators planned to enroll all eligible patients over a 1-year period. The investigators anticipated being able to enroll 500 consecutive liver transplant recipients over such period according to the annual volume in each centre (CHUM: 65, MUHC: 45, TGH: 200, LHSC: 60, UAH: 100, QEIIHSC: 30). Sample size calculation was conducted using G-Power software using the recommended Demidenko procedure.

    Study Design

    Study Type:
    Observational
    Anticipated Enrollment :
    500 participants
    Observational Model:
    Cohort
    Time Perspective:
    Prospective
    Official Title:
    Intraoperative Hemodynamic Management and Postoperative Outcomes in Liver Transplantation: a Multicenter Prospective Cohort Study
    Actual Study Start Date :
    Jun 16, 2021
    Anticipated Primary Completion Date :
    Nov 30, 2022
    Anticipated Study Completion Date :
    Jun 1, 2023

    Arms and Interventions

    Arm Intervention/Treatment
    Groups/Cohorts

    The investigators propose to conduct a prospective observational cohort which will include all consecutive adult liver transplant recipients in each center during a one-year period but will exclude same patients who undergo a retransplantation during the same period of observation.

    Outcome Measures

    Primary Outcome Measures

    1. Occurence of primary graft dysfunction [At 7 days after transplantation]

      This outcome was chosen because preliminary data from the CHUM suggested that a higher fluid balance was associated with primary graft non-function (retransplantation or death). Since graft perfusion is correlated with cardiac output, intraoperative hemodynamic management may have an effect on graft perfusion and postoperative graft function. Also, this is a well-defined, quantitative definition, that is associated with overall graft and patient survival. Since graft loss of 10% at 1 year is a concern among the transplant community, finding causes and solutions to improve graft function is paramount.

    Secondary Outcome Measures

    1. Occurrence of biliary complications [Up to 6 months after transplantation]

      Biliary complications have major impacts on patients' quality of life, graft survival and mortality. While biliary ducts are sensible to ischemic injury, the incidence of non-anastomotic strictures have been overlooked in previous perioperative studies. Biliary complications will be classified as any stricture (anastomotic or non-anastomotic) based on medical imaging results and/or surgical, endoscopic and radiological procedures.

    2. Occurence of biliary anastomotic strictures [Up to 6 months after transplantation]

      Biliary complications will be classified as any stricture (anastomotic or non-anastomotic) based on medical imaging results and/or surgical, endoscopic and radiological procedures.

    3. Liver transplant-related reoperations [Up to 30 days after transplantation]

      Patient having to undergo any liver transplant-related reoperations up to 30 days after transplantation.

    4. Retransplantation [Up to 6 months after transplantation]

      Retransplantation is defined as the patient having to undergo a new transplantation following the index transplantation.

    5. Occurence of acute kidney injury [48 hours, 7 days and 30 days after transplantation]

      The grade of AKI was classified according to the KDIGO-AKI criteria using the highest reported creatinine or the need for new renal replacement therapy after surgery, including any mode of renal replacement therapy.

    6. Occurence of infectious complications [Up to 30 days after transplantation]

      Infectious complications by any antibiotic prescription lasting more than 72 hours

    7. Occurrence of pulmonary complications [Up to 30 days after transplantation]

      Pulmonary complications will be classified using standardized definitions for atelectasis and ARDS.

    8. The need for a new postoperative ICU admission [Up to 30 days after transplantation]

      The dates for all ICU admissions and dates of ICU discharge were recorded. If the patient was readmitted to ICU following his initial admission to ICU, the dates for admissions and discharges were recorded.

    9. 30-day mechanical ventilation free-days [Up to 30 days after transplantation]

      The total number of days the patient was on invasive mechanical support was recorded. If mechanical ventilation was weaned and started again, the days when the patients were under mechanical ventilation were indicated. Non-invasive ventilation or high-flow nasal cannula (HFNC) were not included.

    10. 30-day organ dysfunction free days [Up to 30 days after transplantation]

      The total number of days the patient was: on invasive mechanical ventilator, under vasopressor therapy for more than 2 hours up to 30 days after surgery and spent under renal replacement therapy was recorded.

    11. Hospital length of stay [30 days after transplantation]

      The number of days of hospital length of stay was calculated using the difference between the local date of discharge from the hospital and the date of hospital admission (day of surgery). If the patient died during surgery or prior to hospital discharge, the patient's date of death was recorded as the date of discharge.

    12. Occurence of acute rejection episode [30 days after transplantation]

      An acute rejection episode defined as the grafted liver is attacked by the immune system.

    13. Survival up to 6 months [6 months after transplantation]

      Survival was calculated from the date of participant initial transplant to the date of participant death due to any cause, within 6 months after the surgery.

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    N/A and Older
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No
    Inclusion Criteria:

    All consecutive adult liver transplant recipients in each center during a one-year period or more (anywhere in between June 1, 2021 and November 30, 2022).

    Exclusion Criteria:

    Same patients who undergo a retransplantation during the same period of observation.

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Centre Hospitalier de l'Université de Montréal (CHUM) Montreal Quebec Canada H2X 3E4

    Sponsors and Collaborators

    • Centre hospitalier de l'Université de Montréal (CHUM)
    • McGill University Health Centre/Research Institute of the McGill University Health Centre
    • Toronto General Hospital
    • London Health Sciences Centre
    • University of Alberta
    • Queen Elizabeth II Health Sciences Centre
    • Hopital Paul Brousse
    • Pitié-Salpêtrière Hospital

    Investigators

    • Principal Investigator: François-Martin Carrier, MD, FRCPC, Centre hospitalier de l'Université de Montréal (CHUM)

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    Centre hospitalier de l'Université de Montréal (CHUM)
    ClinicalTrials.gov Identifier:
    NCT04732689
    Other Study ID Numbers:
    • 20.353
    First Posted:
    Feb 1, 2021
    Last Update Posted:
    Jun 16, 2022
    Last Verified:
    Mar 1, 2022
    Individual Participant Data (IPD) Sharing Statement:
    Undecided
    Plan to Share IPD:
    Undecided
    Studies a U.S. FDA-regulated Drug Product:
    No
    Studies a U.S. FDA-regulated Device Product:
    No
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Jun 16, 2022