The Effect Of Perioperative Results On Mortality In Coronary Artery Bypass Surgery
The Effect Of Perioperative Results On Mortality In Coronary Artery Bypass Surgery: Risk Assessment With Fuzzy Logic
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
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Coronary artery bypass grafting (CABG) is one of the most common heart surgeries. Most patients are elderly with comorbidities such as diabetes mellitus and renal diseases. Tehese risk factors affect morbidity and mortality rates. Even in developed countries mortality rate in CABG patients is between 1.9-5.3%. Identifying perioperative risk factors and taking precautions by creating protocols can decrease mortality in patients. Experienced surgical and anesthesia teams, evidence-based practices, and advances in pharmacology and technology can increase survival.
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.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Kerem Erkalp
- Phone Number: +905327879500
- Email: keremerkalp@hotmail.com
Study Contact Backup
- Name: AYLA ESIN
- Phone Number: +905326343959
- Email: ayla.esin@iuc.edu.tr
Study Locations
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Istanbul, Turkey (Türkiye)
- Istanbul University-Cerrahpaşa
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- All isolated coronary artery bypass surgery between January 1, 2020 and July 31, 2024 at IUC Cardiology Institute hospital
Exclusion Criteria:
- All surgical procedures other than isolated coronary artery bypass surgery and patients under the age of 18 were excluded
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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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.
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This study is planned as a retrospective cross sectional study.
Only the information of the patients will be used.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Risk assessment with fuzzy logic
Time Frame: 4 months
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Create a fuzzy logic-based perioperative risk classification model to identify high-risk patients in CABG operations.
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4 months
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Perioperative risk factors
Time Frame: 4 months
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Investigate the effects of artificial circulation time, number of bypassed vessels, and how many bags of blood products were used as perioperative risk factors on postoperative complications.
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4 months
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Chair: Kerem Erkalp, Istanbul University - Cerrahpasa
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 112
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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