- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05532917
Cardiology Consultation in Noncardiac Surgery
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
Conditions
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
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
Ankara
-
Altındağ, Ankara, Turkey, 06000
- University of Medical Science, Yıldırım Beyazıt Training and Research Hospital, Ankara, Turkey
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
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
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
Publications and helpful links
General Publications
- Glance LG, Faden E, Dutton RP, Lustik SJ, Li Y, Eaton MP, Dick AW. Impact of the Choice of Risk Model for Identifying Low-risk Patients Using the 2014 American College of Cardiology/American Heart Association Perioperative Guidelines. Anesthesiology. 2018 Nov;129(5):889-900. doi: 10.1097/ALN.0000000000002341.
- Madi-Jebara S, Chalhoub V, Jabbour K, Yazigi A, Haddad F, Richa F, El-Hage C, Yazbeck P. [Audit on preoperative cardiac evaluation before non-cardiac surgery: the importance of a pocket guide to improve the anaesthesist's adhesion to ACC/AHA guidelines]. Ann Fr Anesth Reanim. 2009 Oct;28(10):850-4. doi: 10.1016/j.annfar.2009.08.007. Epub 2009 Oct 29. French.
- Cinello M, Nucifora G, Bertolissi M, Badano LP, Fresco C, Gonano N, Fioretti PM. American College of Cardiology/American Heart Association perioperative assessment guidelines for noncardiac surgery reduces cardiologic resource utilization preserving a favourable clinical outcome. J Cardiovasc Med (Hagerstown). 2007 Nov;8(11):882-8. doi: 10.2459/JCM.0b013e3280122d63.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 10.1.2022 128/21
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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