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Chen W, Liu J, Shi Y. Machine learning predictions of the adverse events of different treatments in patients with ischemic left ventricular systolic dysfunction. Intern Emerg Med 2024:10.1007/s11739-024-03672-x. [PMID: 38874880 DOI: 10.1007/s11739-024-03672-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 06/04/2024] [Indexed: 06/15/2024]
Abstract
This study aimed to develop several new machine learning models based on hibernating myocardium to predict the major adverse cardiac events(MACE) of ischemic left ventricular systolic dysfunction(LVSD) patients receiving either percutaneous coronary intervention(PCI) or optimal medical therapy(OMT). This study included 329 LVSD patients, who were randomly assigned to the training or validation cohort. Least absolute shrinkage and selection operator(LASSO) regression was used to identify variables associated with MACE. Subsequently, various machine learning models were established. Model performance was compared using receiver operating characteristic(ROC) curves, the Brier score(BS), and the concordance index(C-index). A total of 329 LVSD patients were retrospectively enrolled between January 2016 and December 2021. Utilizing LASSO regression analysis, five factors were selected. Based on these factors, RSF, GBM, XGBoost, Cox, and DeepSurv models were constructed. In the development and validation cohorts, the C-indices were 0.888 vs. 0.955 (RSF). The RSF model (0.991 vs. 0.982 vs. 0.980) had the highest area under the ROC curve (AUC) compared with the other models. The BS (0.077 vs. 0.095vs. 0.077) of RSF model were less than 0.25 at 12, 18, and 24 months. This study developed a novel predictive model based on RSF to predict MACE in LVSD patients who underwent either PCI or OMT.
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Affiliation(s)
- Wenjie Chen
- Center for Coronary Artery Disease (CCAD), Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Chaoyang, 100029, Beijing, China
| | - Jinghua Liu
- Center for Coronary Artery Disease (CCAD), Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Chaoyang, 100029, Beijing, China.
| | - Yuchen Shi
- Center for Coronary Artery Disease (CCAD), Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, 2 Anzhen Road, Chaoyang, 100029, Beijing, China.
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Du Y, Li W, Chen Q, Shi H, Li Q, Zhang C, Zhuang Y, Li J, Tang L. Comparison of vasoactive-inotropic score, vasoactive-ventilation-renal score, and modified vasoactive-ventilation-renal score for predicting the poor prognosis after coronary artery bypass grafting. BMC Cardiovasc Disord 2023; 23:274. [PMID: 37226089 DOI: 10.1186/s12872-023-03313-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 05/18/2023] [Indexed: 05/26/2023] Open
Abstract
BACKGROUND Exploring reliable prediction scoring systems is valuable for the poor prognosis of patients after coronary artery bypass grafting (CABG). Herein, we explored and compared the predictive performance of vasoactive-inotropic score (VIS), vasoactive-ventilation-renal (VVR) score, and modified VVR (M-VVR) score in the poor prognosis of patients undergoing CABG. METHODS A retrospective cohort study was performed in Affiliated Hospital of Jining Medical University, and data of 537 patients were collected from January 2019 to May 2021. The independent variables were VIS, VVR, and M-VVR. Study endpoint of interest was the poor prognosis. Association between VIS, VVR, M-VVR and poor prognosis was assessed using logistic regression analysis, and odds ratios (OR) and 95% confidence intervals (CIs) were reported. The performance of VIS, VVR, and M-VVR to predict the poor prognosis was assessed by calculating the area under the curve (AUC), and differences of the AUC of the three scoring systems were compared using DeLong test. RESULTS After adjusting gender, BMI, hypertension, diabetes, surgery methods, and left ventricular ejection fraction (LVEF), VIS (OR: 1.09, 95%CI: 1.05-1.13) and M-VVR (OR: 1.09, 95%CI: 1.06-1.12) were associated with the increased odds of poor prognosis. The AUC of M-VVR, VVR, and VIS was 0.720 (95%CI: 0.668-0.771), 0.621 (95%CI: 0.566-0.677), and 0.685 (95%CI: 0.631-0.739), respectively. DeLong test displayed that the performance of M-VVR was better than VVR (P = 0.004) and VIS (P = 0.003). CONCLUSIONS Our study found the good prediction performance of M-VVR for the poor prognosis of patients undergoing CABG, indicating that M-VVR may be a useful prediction index in the clinic.
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Affiliation(s)
- Yanping Du
- Department of Cardiac Critical Care Medicine, Affiliated Hospital of Jining Medical University, No.89 Guhuai Road, Rencheng District, 272000, Jining, P.R. China
| | - Wensu Li
- Department of Cardiac Critical Care Medicine, Affiliated Hospital of Jining Medical University, No.89 Guhuai Road, Rencheng District, 272000, Jining, P.R. China
| | - Qingjuan Chen
- Department of Cardiac Critical Care Medicine, Affiliated Hospital of Jining Medical University, No.89 Guhuai Road, Rencheng District, 272000, Jining, P.R. China
| | - Haichuan Shi
- Department of Cardiac Critical Care Medicine, Affiliated Hospital of Jining Medical University, No.89 Guhuai Road, Rencheng District, 272000, Jining, P.R. China
| | - Qiong Li
- Department of Cardiac Critical Care Medicine, Affiliated Hospital of Jining Medical University, No.89 Guhuai Road, Rencheng District, 272000, Jining, P.R. China
| | - Chunying Zhang
- Department of Cardiac Critical Care Medicine, Affiliated Hospital of Jining Medical University, No.89 Guhuai Road, Rencheng District, 272000, Jining, P.R. China
| | - Yunxu Zhuang
- Department of Cardiac Critical Care Medicine, Affiliated Hospital of Jining Medical University, No.89 Guhuai Road, Rencheng District, 272000, Jining, P.R. China
| | - Junying Li
- Department of Cardiac Critical Care Medicine, Affiliated Hospital of Jining Medical University, No.89 Guhuai Road, Rencheng District, 272000, Jining, P.R. China
| | - Li Tang
- Department of Cardiac Critical Care Medicine, Affiliated Hospital of Jining Medical University, No.89 Guhuai Road, Rencheng District, 272000, Jining, P.R. China.
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Daoulah A, Naser MJ, Hersi AS, Alshehri M, Garni TA, Abuelatta R, Yousif N, Almahmeed W, Alasmari A, Aljohar A, Alzahrani B, Abumelha BK, Ghani MA, Amin H, Hashmani S, Hiremath N, Kazim HM, Refaat W, Selim E, Jamjoom A, El-Sayed O, Al-Faifi SM, Feteih MN, Dahdouh Z, Aithal J, Ibrahim AM, Elganady A, Qutub MA, Alama MN, Abohasan A, Hassan T, Balghith M, Hussien AF, Abdulhabeeb IAM, Ahmad O, Ramadan M, Alqahtani AH, Alshahrani SS, Qenawi W, Shawky A, Ghonim AA, Elmahrouk A, Alhamid S, Maghrabi M, Haddara MM, Iskandar M, Shawky AM, Hurley WT, Elmahrouk Y, Ahmed WA, Lotfi A. Impact of left ventricular ejection fraction on outcomes after left main revascularization: g-LM Registry. J Cardiovasc Med (Hagerstown) 2023; 24:23-35. [PMID: 36219153 DOI: 10.2459/jcm.0000000000001383] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
AIMS The impact of left ventricular dysfunction on clinical outcomes following revascularization is not well established in patients with unprotected left main coronary artery disease (ULMCA). In this study, we evaluated the impact of left ventricular ejection fraction (LVEF) on clinical outcomes of patients with ULMCA requiring revascularization with percutaneous coronary intervention (PCI) compared with coronary artery bypass graft (CABG). METHODS The details of the design, methods, end points, and relevant definitions are outlined in the Gulf Left Main Registry: a retrospective, observational study conducted between January 2015 and December 2019 across 14 centres in 3 Gulf countries. In this study, the data on patients with ULMCA who underwent revascularization through PCI or CABG were stratified by LVEF into three main subgroups; low (l-LVEF <40%), mid-range (m-LVEF 40-49%), and preserved (p-LVEF ≥50%). Primary outcomes were hospital major adverse cardiovascular and cerebrovascular events (MACCE) and mortality and follow-up MACCE and mortality. RESULTS A total of 2137 patients were included; 1221 underwent PCI and 916 had CABG. During hospitalization, MACCE was significantly higher in patients with l-LVEF [(10.10%), P = 0.005] and m-LVEF [(10.80%), P = 0.009], whereas total mortality was higher in patients with m-LVEF [(7.40%), P = 0.009] and p-LVEF [(7.10%), P = 0.045] who underwent CABG. There was no mortality difference between groups in patients with l-LVEF. At a median follow-up of 15 months, there was no difference in MACCE and total mortality between patients who underwent CABG or PCI with p-LVEF and m-LVEF. CONCLUSION CABG was associated with higher in-hospital events. Hospital mortality in patients with l-LVEF was comparable between CABG and PCI. At 15 months' follow-up, PCI could have an advantage in decreasing MACCE in patients with l-LVEF.
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Affiliation(s)
- Amin Daoulah
- Department of Cardiovascular Medicine, King Faisal Specialist Hospital & Research Center, Jeddah, Kingdom of Saudi Arabia
| | - Maryam Jameel Naser
- Department of Internal Medicine, University of Massachusetts Chan Medical School - Baystate, Springfield, Springfield, Massachusetts, USA
| | - Ahmad S Hersi
- Department of Cardiac Sciences, King Fahad Cardiac Center, King Saud University, Riyadh
| | - Mohammed Alshehri
- Department of Cardiology, Prince Khaled Bin Sultan Cardiac Center, Khamis Mushait
| | - Turki Al Garni
- Department of Cardiology, Prince Sultan Cardiac Center, Riyadh
| | - Reda Abuelatta
- Department of Cardiology, Madinah Cardiac Center, Madinah, Kingdom of Saudi Arabia
| | - Nooraldaem Yousif
- Department of Cardiology, Mohammed Bin Khalifa Specialist Cardiac Center, Awali, Kingdom of Bahrain
| | - Wael Almahmeed
- Heart & Vascular Institute, Cleveland Clinic Abu Dhabi, UAE
| | - Abdulaziz Alasmari
- Department of Cardiovascular Medicine, King Faisal Specialist Hospital & Research Center, Jeddah, Kingdom of Saudi Arabia
| | - Alwaleed Aljohar
- Department of Cardiac Sciences, King Fahad Cardiac Center, King Saud University, Riyadh
| | - Badr Alzahrani
- Department of Cardiology, Prince Sultan Cardiac Center, Riyadh
| | - Bader K Abumelha
- Department of Family Medicine, King Abdulaziz Medical City, National Guard Hospital, Riyadh
| | - Mohamed Ajaz Ghani
- Department of Cardiology, Madinah Cardiac Center, Madinah, Kingdom of Saudi Arabia
| | - Haitham Amin
- Department of Cardiology, Mohammed Bin Khalifa Specialist Cardiac Center, Awali, Kingdom of Bahrain
| | | | | | | | - Wael Refaat
- Department of Cardiology, Prince Sultan Cardiac Center, Al Hassa
| | - Ehab Selim
- Department of Cardiology, Alhada Armed Forces Hospital, Taif
| | - Ahmed Jamjoom
- Department of Cardiovascular Medicine, King Faisal Specialist Hospital & Research Center, Jeddah, Kingdom of Saudi Arabia
| | - Osama El-Sayed
- Department of Cardiovascular Medicine, King Faisal Specialist Hospital & Research Center, Jeddah, Kingdom of Saudi Arabia
| | - Salem M Al-Faifi
- Department of Medicine, King Faisal Specialist Hospital & Research Center
| | - Maun N Feteih
- Department of Medicine, King Faisal Specialist Hospital & Research Center
| | - Ziad Dahdouh
- Department of Cardiovascular Medicine, King Faisal Specialist Hospital & Research Center, Riyadh, Kingdom of Saudi Arabia
| | - Jairam Aithal
- Department of Cardiology, Yas Clinic, Khalifa City A, Abu Dhabi, UAE
| | | | | | - Mohammed A Qutub
- Cardiology Center of Excellence, Department of Medicine, King Abdulaziz University, Jeddah
| | - Mohamed N Alama
- Cardiology Center of Excellence, Department of Medicine, King Abdulaziz University, Jeddah
| | | | - Taher Hassan
- Department of Cardiology, Bugshan General Hospital, Jeddah
| | - Mohammed Balghith
- King Abdulaziz Cardiac Center, College of Medicine, King Saud Bin Abdulaziz University for Health Science, Riyadh
| | | | | | - Osama Ahmad
- Department of Cardiovascular Medicine, King Faisal Specialist Hospital & Research Center, Riyadh, Kingdom of Saudi Arabia
| | - Mohamed Ramadan
- Department of Cardiology, Prince Sultan Cardiac Center, Al Hassa
| | | | - Saif S Alshahrani
- Department of Emergency Medicine, King Faisal Specialist Hospital & Research Center, Riyadh, Kingdom of Saudi Arabia
| | - Wael Qenawi
- Department of Cardiology, Prince Khaled Bin Sultan Cardiac Center, Khamis Mushait
| | - Ahmed Shawky
- Department of Cardiology, Prince Khaled Bin Sultan Cardiac Center, Khamis Mushait
| | - Ahmed A Ghonim
- Cardiology Center of Excellence, Department of Medicine, King Abdulaziz University, Jeddah
| | - Ahmed Elmahrouk
- Department of Cardiovascular Medicine, King Faisal Specialist Hospital & Research Center, Jeddah, Kingdom of Saudi Arabia.,Department of Cardiothoracic Surgery, Tanta University, Tanta, Egypt
| | - Sameer Alhamid
- Department of Emergency Medicine, King Fahad Medical City
| | | | - Mamdouh M Haddara
- Department of Anesthesia, King Faisal Specialist Hospital & Research Center, Riyadh, Kingdom of Saudi Arabia
| | - Mina Iskandar
- Department of Internal Medicine-Pediatrics, University of Massachusetts Chan Medical School - Baystate, Springfield, Springfield, Massachusetts
| | - Abeer M Shawky
- Department of Cardiology, Dr Erfan and Bagedo General Hospital
| | - William T Hurley
- Department of Emergency Medicine, Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | | | - Waleed A Ahmed
- Department of Internal Medicine, Security Forces Hospital, Mecca, Kingdom of Saudi Arabia
| | - Amir Lotfi
- Division of Cardiovascular Medicine, University of Massachusetts Chan Medical School - Baystate, Springfield, Springfield, Massachusetts, USA
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