Long-Term Outcomes after Coronary Artery Bypass Grafting with Risk Stratification
Long-Term Outcomes after Coronary Artery Bypass Grafting with Risk Stratification作者机构：Cardiac Surgery Department Madinah Cardiac Center Madinah Saudi Arabia Cardiothoracic Surgery Department Faculty of Medicine Menoufia University Minufya Egypt Cardiology Department Madinah Cardiac Center Madinah Saudi Arabia Cardiac Anesthesia Department Madinah Cardiac Center Madinah Saudi Arabia Cardiology Department Faculty of Medicine Tanta University Tanta Egypt Cardiothoracic Surgery Department Faculty of Medicine Suez Canal University Ismailia Egypt
出 版 物：《World Journal of Cardiovascular Diseases》 (心血管病（英文）)
年 卷 期：2023年第13卷第8期
页 面：493-510页
学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学]
主 题：Coronary Artery Bypass Graft Long-Term Mortality Risk Prediction Model Risk Stratification
摘 要：Background: Risk stratification of long-term outcomes for patients undergoing Coronary artery bypass grafting has enormous potential clinical importance. Aim: To develop risk stratification models for predicting long-term outcomes following coronary artery bypass graft (CABG) surgery. Methods: We retrospectively revised the electronic medical records of 2330 patients who underwent adult Cardiac surgery between August 2016 and December 2022 at Madinah Cardiac Center, Saudi Arabia. Three hundred patients fulfilled the eligibility criteria of CABG operations with a complete follow-up period of at least 24 months, and data reporting. The collected data included patient demographics, comorbidities, laboratory data, pharmacotherapy, echocardiographic parameters, procedural details, postoperative data, in-hospital outcomes, and follow-up data. Our follow-up was depending on the clinical status (NYHA class), chest pain recurrence, medication dependence and echo follow-up. A univariate analysis was performed between each patient risk factor and the long-term outcome to determine the preoperative, operative, and postoperative factors significantly associated with each long-term outcome. Then a multivariable logistic regression analysis was performed with a stepwise, forward selection procedure. Significant (p 0.05) risk factors were identified and were used as candidate variables in the development of a multivariable risk prediction model. Results: The incidence of all-cause mortality during hospital admission or follow-up period was 2.3%. Other long-term outcomes included all-cause recurrent hospitalization (9.8%), recurrent chest pain (2.4%), and the need for revascularization by using a stent in 5 (3.0%) patients. Thirteen (4.4%) patients suffered heart failure and they were on the maximum anti-failure medications. The model for predicting all-cause mortality included the preoperative EF ≤ 35% (AOR: 30.757, p = 0.061), the bypass time (AOR: 1.029, p = 0.003), and the dur
维普期刊数据库