Cardiology Consultation in Noncardiac Surgery

April 12, 2023 updated by: Funda Atar, Diskapi Yildirim Beyazit Education and Research Hospital

Impact of 2014 ACC/AHA Perioperative Guidelines on Cardiological Resource Use in Noncardiac Surgery Patients

Recently, a predictive model has been developed to assess the risk of myocardial infarction or cardiac arrest (MICA) during and after surgery using the American Society of Surgeons' National Surgical Quality Improvement Program (NSQIP) database. In this MICA model, 180 hospital databases were used in 2007 and 2008 and included more than 200 000 patients. The Gupta score developed with this MICA model identified five predictors of perioperative myocardial infarction and cardiac arrest: type of surgery, functional status, creatinine increase (>130 mmol/L or >1.5 mg/dL), age, and American Association of Anesthesiologists (ASA) class. The Gupta score is presented as an interactive risk calculation program in the 2014 guideline of the ACC/AHA. The risk can be calculated simply and accurately at the bedside or clinic. The Gupta score is in spreadsheet format and can be downloaded online at http://www.surgicalriskcalculator.com/miorcardiacarrest. Unlike the previously used indexes, a scoring system has not been established. An estimate of the probability of myocardial infarction/cardiac arrest is provided for individual patients.

In this study, the primary aim was to compare the frequency of cardiology consultation requests according to the use of the Gupta score. The secondary aim is to evaluate the perioperative clinical results (coronary angiography, ECHO, acute coronary syndrome, arrhythmia, 30-day mortality, etc.).SPSS 21.0 (Version 22.0, SPSS, Inc, Chicago, IL, USA) program will be used for statistical analysis. After applying the Shapiro-Wilk test for normality, the student's t-test will be used if the distribution is normal, and the Mann-Whitey U test will be used if the distribution is not normal. Fisher's exact test or chi-square test will be used for categorical variables. Results p<0.05 will be considered significant.

Study Overview

Status

Completed

Intervention / Treatment

Detailed Description

All patients undergoing non-cardiac surgery are at risk of major perioperative cardiovascular events. Cardiac complications account for 42% of the overall complications of these surgeries. Therefore, cardiologists are the most frequently consulted specialists in preoperative evaluation. Unnecessary cardiology consultations may cause comments that will not affect the practice of anesthesia, inappropriate tests and interventions, and delay in the surgical procedure.

Recently, a predictive model has been developed to assess the risk of myocardial infarction or cardiac arrest (MICA) during and after surgery using the American Society of Surgeons' National Surgical Quality Improvement Program (NSQIP) database. In this MICA model, 180 hospital databases were used in 2007 and 2008 and included more than 200 000 patients. The Gupta score developed with this MICA model identified five predictors of perioperative myocardial infarction and cardiac arrest: type of surgery, functional status, creatinine increase (>130 mmol/L or >1.5 mg/dL), age, and American Association of Anesthesiologists (ASA) class. The Gupta score is presented as an interactive risk calculation program in the 2014 guideline of the ACC/AHA. The risk can be calculated simply and accurately at the bedside or clinic. The Gupta score is in spreadsheet format and can be downloaded online at http://www.surgicalriskcalculator.com/miorcardiacarrest. Unlike the previously used indexes, a scoring system has not been established. An estimate of the probability of myocardial infarction/cardiac arrest is provided for individual patients.

Study Type

Observational

Enrollment (Actual)

898

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

    • Ankara
      • Altındağ, Ankara, Turkey, 06000
        • University of Medical Science, Yıldırım Beyazıt Training and Research Hospital, Ankara, Turkey

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 99 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Patients over the age of 18 who will be referred to the anesthesia polyclinic and will undergo non-cardiac surgery will be included in the study. Cardiology consultation will be requested from these patients according to the Gupta score. Additional tests or examinations may be requested if the cardiologist deems it necessary.

Description

Inclusion Criteria:

  • Patients undergoing non-cardiovascular surgery
  • Patients evaluated routinely preoperatively in the anesthesiologist preoperative outpatient clinic

Exclusion Criteria:

  • Emergency surgeries
  • ASA Physical Status V
  • Patients undergoing cardiovascular surgery
  • Minor surgeries
  • Patients who did not want to participate in the study

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

  • Observational Models: Other
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Gupta group
Cardiology consultation requested using Gupta score
The Gupta score is presented as an interactive risk calculation program in the 2014 guideline of the ACC/AHA. The Gupta score developed with this MICA model identified five predictors of perioperative myocardial infarction and cardiac arrest: type of surgery, functional status, creatinine increase (>130 mmol/L or >1.5 mg/dL), age, and American Association of Anesthesiologists (ASA) class. The frequency of cardiology consultation requests will be investigated according to the use of the Gupta score.
Non-Gupta group
Number of cardiology consultations requested without using Gupta score

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Gupta score
Time Frame: perioperative period
The frequency of cardiology consultation requests will be compared according to the use of the Gupta score.
perioperative period

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Perioperative clinical results
Time Frame: perioperative period
Perioperative clinical results (coronary angiography, ECHO, acute coronary syndrome, arrhythmia, 30-day mortality, etc.) will be evaluated.
perioperative period

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 (Actual)

January 15, 2022

Primary Completion (Actual)

March 31, 2023

Study Completion (Actual)

April 12, 2023

Study Registration Dates

First Submitted

September 5, 2022

First Submitted That Met QC Criteria

September 5, 2022

First Posted (Actual)

September 8, 2022

Study Record Updates

Last Update Posted (Estimate)

April 13, 2023

Last Update Submitted That Met QC Criteria

April 12, 2023

Last Verified

April 1, 2023

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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