The Association Between Platelet Inhibition and Perioperative Major Adverse Cardiac Events In Post-Percutaneous Coronary Intervention (PCI) Patients Undergoing Non-Cardiac Surgery

June 17, 2015 updated by: University Health Network, Toronto

This prospective, multicentre, observational study aims to test pre-operative platelet function when taking anti-platelet medications. The investigators are using a simple bedside blood test called Thromboelastography (TEG) and Platelet Mapping Assay (PMA). The investigators will then follow the patient throughout their hospital stay for any major cardiac complications (MACE) after surgery (peri-operative). The investigators hope to determine if there is an association between how well platelets were inhibited by these drugs before surgery and MACE during the perioperative period, 30 day, and one year follow-up. Also, the response of various people to anti-platelet medications and their chances of getting a major adverse cardiac outcome are determined by their genetic makeup. The investigators will try to determine if certain genes are associated with higher cardiac risk.

Hypothesis: In patients who had percutaneous coronary intervention (PCI) and are undergoing non-cardiac surgery (NCS) major adverse cardiac events (MACE) are associated with inadequate platelet inhibition.

Study Overview

Status

Completed

Conditions

Detailed Description

Data analysis: The participants' demographics, preoperative characteristics and postoperative information will be summarized using descriptive statistics: expressed as mean (standard deviation) or median (minimum, maximum, interquartile range) for continuous variables and number (percent) for categorical variables. We will initially use restricted cubic spline plots to evaluate the nature of the association of platelet inhibition (continuous variable) and the risk of MACE (logit transformation). Based upon these results, we will determine if percent inhibition can be treated as a continuous variable, or whether it can be categorized along specific cut-offs. We will also compare these results against a receiver-operating-characteristic curve analysis. Once we have determined the appropriate approach for describing percent platelet inhibition, univariate analyses will be performed with chi-square or Fishers' exact test for categorical data, and t-test and Mann-Whitney U test for continuous data. A p < 0.05 will be considered statistically significant. Random effect multivariable logistic regression will be used to assess the adjusted association of platelet inhibition with MACE during the perioperative period.46 This regression model will employ a random intercept for each center, so as to minimize the bias due to any confounding by center.47 Regression models will be constructed to selectively include the potentially confounding perioperative variables that are associated with a higher risk of MACE (as identified from the literature and clinical experience).7-12 In addition to platelet inhibition (preoperative value or change), four covariates will be included in the model: type of stent; time between PCI and NCS; mono-, dual (aspirin or aspirin and clopidogrel) or no therapy until the day of surgery; and urgent surgery. Since the recommended range of platelet inhibition (20-50%)was never validated during the perioperative period we will describe it as a continuous variable (0-100%).

Primary analysis will be as per protocol the secondary analysis will include patients who have incomplete data i.e. discharged early or refused one or more TEG samples.

Sample Size: The sample size estimations were based on comparison of platelet inhibition (measures as a continuous variable) between individuals who did or did not suffer MACE. We assumed that the difference between the MACE and non-MACE groups with regard to platelet inhibition would correspond to a medium Cohen's effect size (0.5 SD; i.e. difference in means equaling 0.5 of the pooled standard deviation). Based on the assumption of the medium effect size difference, an expected 20% rate of MACE, a 2-sided alpha of 0.05, 90 % power, and a 10% dropout rate, we would need 189 patients in total. In addition, since our planned statistical model involves logistic regression with a total of five covariates (platelet inhibition value; stent type; emergency surgery; time between PCI and NCS; mono-, dual or no therapy after PCI [aspirin vs. aspirin and clopidogrel or no medications]) the sample size estimate would still have approximately 8 events per included covariate in the regression model. To minimize bias in the regression model, estimates recommend the minimum number of outcomes per covariate is 5-10.

Study Type

Observational

Enrollment (Actual)

201

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

    • Ontario
      • Toronto, Ontario, Canada
        • Toronto General Hospital

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

Non-Probability Sample

Study Population

Patients who have coronary stents and undergoing non-cardiac surgery

Description

Inclusion Criteria:

  • Scheduled for non-cardiac surgery
  • Has had PCI with: BMS within the last 24 months OR DES within any time frame

Exclusion criteria:

  • Lack of informed consent
  • Known clotting abnormality affecting any part of the clotting cascade
  • Liver dysfunction with co-existing thrombocytopenia or INR > 1.4

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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of patients with major adverse cardiac event (MACE)
Time Frame: Measure will occure every day for 5 postoperative days

ECG daily for five days postoperatively Troponin measurements every 8 h +/- 1h for 6 measurements (first 48 hours postoperatively) then once daily till the fifth postoperative day.

Patients will be assessed daily by study personnel for the presence of MACE (defined as death, ST or non-ST elevation myocardial infarction [MI], stent thrombosis or the need for repeat revascularization [PCI or coronary artery bypass grafting]transfusions, or the presence of bleeding complications.

Measure will occure every day for 5 postoperative days

Collaborators and Investigators

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

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.

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

March 1, 2010

Primary Completion (Actual)

August 1, 2013

Study Completion (Actual)

August 1, 2014

Study Registration Dates

First Submitted

December 12, 2011

First Submitted That Met QC Criteria

October 13, 2012

First Posted (Estimate)

October 16, 2012

Study Record Updates

Last Update Posted (Estimate)

June 18, 2015

Last Update Submitted That Met QC Criteria

June 17, 2015

Last Verified

June 1, 2015

More Information

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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