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Completed

NCT Number: NCT05532917

Cardiology Consultation in Noncardiac Surgery

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.

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Key information

Age range

18 year–99 year

Sex eligibility

All sexes

Study type

Observational

Primary location

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

Altındağ, Ankara, 06000, Turkey (Türkiye)

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Gupta score

Other

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.

Primary outcomes

  1. Gupta score

    Time frame: perioperative period

    The frequency of cardiology consultation requests will be compared according to the use of the Gupta score.

Secondary outcomes

  1. Perioperative clinical results

    Time frame: perioperative period

    Perioperative clinical results (coronary angiography, ECHO, acute coronary syndrome, arrhythmia, 30-day mortality, etc.) will be evaluated.

Sponsors and collaborators

Lead sponsor

Diskapi Yildirim Beyazit Education and Research Hospital

Other Gov

Registry information

Official study title

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

Important dates

Study start
2022
Primary completion
2023
Study completion
2023
First posted
Sep 8, 2022
Registry last updated
Apr 13, 2023

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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