The Effect Of Perioperative Results On Mortality In Coronary Artery Bypass Surgery

NCT06812624 | Completed

• 1 other identifier: 112
• Study Type: observational
• Target: 485
• Locations: 1 country
• Sites: 1

Brief Summary

Coronary artery bypass grafting (CABG) is one of the most common heart surgeries. Most patients are elderly with comorbidities that affect morbidity and mortality rates. Even in developed countries mortality rate is 1.9-5.3%. Determination of perioperative risk factors and creating protocols to take precautions accordingly may reduce mortality in patients. In CABG patients, due to the surgical burden combined with existing comorbidities, it is important for physicians to evaluate the risk status and predict the mortality rates. For this purpose, various scoring systems have been developed. Fuzzy logic method allows partially membership, so that a glass that is neither full nor empty can be numerically expressed as being partially full but also partially empty. This feature is similar to the reasoning structure of the human brain that uses linguistic tools. In this way, in cases where there is no precise mathematical model and where the existence of imprecise and uncertain information is natural, such as medical applications, in order to solve the problem, fuzzy easily allows linguistic expressions containing the knowledge, experience and intuition of expert to transforme into the model created for the solution. In decision making process, fuzzy logic provides ability to use linguistic expressions, including experts' intuition. Thus, decisions can be made even with approximate data and uncertainty. For this reason, fuzzy logic is used in a wide range of research from engineering to medicine. The records of patients who underwent CABG surgery in Istanbul University-Cerrahpaşa Cardiology Institute between January 1, 2020 and July 31, 2024 will be examined. Preoperative major risk factors diabetes, pulmonary, neurological, kidney and liver disease with preoperative minor risk factors age, weight and smoking will be recorded. Perioperative risk factors; duration of artificial circulation, number of vessels bypassed, and number of blood products used will be recorded. Our primary aim is to create a fuzzy logic-based perioperative risk classification model to identify high-risk patients in CABG surgery. Secondly we aimed to investigate the effect of perioperative risk factors on postoperative complications

Conditions

Cardiovascular Diseases; Cardiovascular Complication; Anesthesia

Keywords

Fuzzy logic; mortality; coronary artery surgery; risk assessment; risk scoring system; complications

Outcome Measures

Primary Outcomes (1)

• Risk assessment with fuzzy logic

  Create a fuzzy logic-based perioperative risk classification model to identify high-risk patients in CABG operations.

  4 months

Secondary Outcomes (1)

• Perioperative risk factors

  4 months

Study Arms (1)

coronary artery bypass surgery group

All patients over the age of 18 who underwent isolated coronary artery bypass surgery at the IUC Cardiology Institute hospital between January 1, 2020 and July 31, 2024 will be included in the study.

Other: There is no intervention in this study.

Interventions

There is no intervention in this study. OTHER

This study is planned as a retrospective cross sectional study. Only the information of the patients will be used.

coronary artery bypass surgery group

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

Over 18 year of age, all isolated coronary artery bypass surgery between January 1, 2020 and July 31, 2024 at IUC Cardiology Institute hospital

You may qualify if:

• All isolated coronary artery bypass surgery between January 1, 2020 and July 31, 2024 at IUC Cardiology Institute hospital

You may not qualify if:

• All surgical procedures other than isolated coronary artery bypass surgery and patients under the age of 18 were excluded

Sponsors & Collaborators

• Istanbul University - Cerrahpasa: lead

Study Sites (1)

Istanbul University-Cerrahpaşa

Istanbul, Turkey (Türkiye)

Location

MeSH Terms

Conditions

Cardiovascular Diseases

Study Officials

• Kerem Erkalp

  Istanbul University - Cerrahpasa

  STUDY CHAIR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: professor

Study Record Dates

• First Submitted: February 2, 2025
• First Posted: February 6, 2025
• Study Start: December 15, 2024
• Primary Completion: December 15, 2025
• Study Completion: December 15, 2025
• Last Updated: February 24, 2026

Record last verified: 2025-01

Locations

TU (1)