The Effect of Perioperative Results on Mortality in Coronary Artery Bypass Surgery
NCT ID: NCT06812624
Last Updated: 2025-02-06
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
485 participants
OBSERVATIONAL
2024-12-15
2025-05-15
Brief Summary
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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
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Detailed Description
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Risk assessment is important in determining the treatment plans of patients who will be operated on, providing patient education for the postoperative period, providing insight into prognosis, and determining health care quality standards.
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 low and high risk studies have been conducted and various scoring systems have been developed. European System for Cardiac Operative Risk Evaluation-II (EUROSCORE-II) is a scoring system that was created specifically for cardiac surgery patients and is widely used all over the world, predicting mortality through preoperative evaluation. EUROSCORE-II scoring may be low in older patients (over 70 years of age). A scoring system with higher predictive power is aimed by making modifications to EUROSCORE-II or comparisons with other scoring systems.
In 1965, Zadeh first introduced Fuzzy, which is the basis of the fuzzy logic procedure 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 isolated CABG surgery in Istanbul University-Cerrahpaşa Cardiology Institute between January 1, 2020 and July 31, 2024 will be included.
Diabetes mellitus, pulmonary, neurological, kidney and liver disease will be recorded as preoperative major risk factors. Age, weight and smoking will be recorded as preoperative minor risk factors. Duration of artificial circulation, number of vessels bypassed, and number of blood products used will be recorded as perioperative risk factors.
The effect of preoperative risk factors on mortality has been investigated in many studies. Our primary aim is to create a fuzzy logic-based perioperative risk classification model to identify high-risk patients in isolated CABG surgery.
Conditions
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Study Design
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COHORT
CROSS_SECTIONAL
Study Groups
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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.
There is no intervention in this study.
This study is planned as a retrospective cross sectional study. Only the information of the patients will be used.
Interventions
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There is no intervention in this study.
This study is planned as a retrospective cross sectional study. Only the information of the patients will be used.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Istanbul University - Cerrahpasa
OTHER
Responsible Party
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Kerem Erkalp, MD, Prof
professor
Principal Investigators
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Kerem Erkalp
Role: STUDY_CHAIR
Istanbul University - Cerrahpasa
Locations
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Istanbul University-Cerrahpaşa
Istanbul, , Turkey (Türkiye)
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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112
Identifier Type: -
Identifier Source: org_study_id
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