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Cardiology Consultation in Noncardiac Surgery

NCT05532917 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 898

Last updated 2023-04-13

No results posted yet for this study

Summary

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.

Conditions

Interventions

OTHER

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.

Sponsors & Collaborators

  • Diskapi Yildirim Beyazit Education and Research Hospital

    lead OTHER_GOV

Eligibility

Min Age
18 Years
Max Age
99 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-01-15
Primary Completion
2023-03-31
Completion
2023-04-12

Countries

  • Turkey (Türkiye)

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05532917 on ClinicalTrials.gov