Background: We aimed to investigate the predictive value of recently updated ACEF II score on major adverse cardiac and cerebrovascular events (MACCE) in patients with multi-vessel coronary artery disease (MVCAD) undergoing one-stop hybrid coronary revascularization (HCR).
Methods: Patients with MVCAD undergoing one-stop HCR were retrospectively recruited from March 2018 to September 2020. Several prediction risk models, including ACEF II score, were calculated for each patient. Kaplan-Meier curve was used to evaluate freedom from cardiac death and MACCE survival rates. Differences of prediction performance among risk scores for predicting MACCE were compared by receiver operating characteristic (ROC) curve.
Results: According to the ACEF II score, a total of 120 patients undergoing one-stop HCR were assigned to low-score group (80 cases) and high-score group (40 cases). During the median follow-up time of 18 months, the incidence of MACCE in the low-score group and high-score group were 8.8 % and 37.5 %, respectively (p < 0.001); and the cardiac death rate of the two were 2.5% and 12.5%, respectively (p < 0.05). Moreover, the cumulative freedom from cardiac death (97.5% vs. 86.8, p < 0.05) and MACCE (75.2% vs. 52.8%, p < 0.001) survival rates in the high-score group were significantly lower than in the low-score group. According to the Cox proportional hazards regression, the ACEF II score was an independent prognostic indicator for MACCE with hazards ratio (HR) 2.24, p = 0.003. The ROC curve analysis indicated that the areas under the curve (AUC) of MACCE from the ACEF II score was 0.740 (p < 0.001), while the AUC of MACCE from the SYNTAX score II CABG was 0.621 (p = 0.070) and the AUC from the EuroSCORE II was 0.703 (p < 0.001). Thus, the accurate predictive value of ACEF II score was similar to the EuroSCORE II but much higher than the SYNTAX score II CABG.
Conclusions: The updated ACEF II score is a more convenient and validated prediction tool for MACCE in patients with MVCAD undergoing one-stop HCR comparing to other risk models.
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http://dx.doi.org/10.1186/s12872-021-02299-6 | DOI Listing |
Objectives: This study evaluated the predictive performance of age, creatinine, and ejection fraction (ACEF) I and II scores for the development of postoperative atrial fibrillation (PoAF) after isolated on-pump coronary artery bypass grafting (CABG) surgery and compared them with a novel nomogram model developed for PoAF prediction.
Subjects And Methods: This retrospective multicenter study involved 511 patients who underwent isolated on-pump CABG. Their ACEF scores were calculated, and multivariate logistic regression analysis was performed to develop a nomogram model.
Ren Fail
December 2025
Center for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China.
Background: The incidence of acute kidney injury (AKI) increases after surgical aortic valve replacement (SAVR). This study aimed to characterize the risk factors of AKI after SAVR.
Methods And Results: We conducted a retrospective registry study based on data from 299 consecutive patients undergoing SAVR.
Cardiovasc Diabetol
December 2024
Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Background: The ACEF score (age, creatinine, and left ventricular ejection fraction) and the triglyceride-glucose (TyG) index have been identified as robust risk prediction models for adverse outcomes post-percutaneous coronary intervention (PCI) in coronary atherosclerotic heart disease (CHD) patients. This study aimed to assess whether incorporating the TyG index enhances the predictive ability of the ACEF score and enhances risk stratification for CHD patients undergoing PCI.
Methods: This observational cohort study enrolled 1248 patients diagnosed with CHD who underwent PCI at the Third People's Hospital of Chengdu, China, between May 2018 and December 2022.
Tex Heart Inst J
December 2024
Cardiology Department, Bakırköy Dr Sadi Konuk Training and Research Hospital, Istanbul, Turkey.
Background: A score based on age, creatinine level, and ejection fraction as well as hematocrit value and the presence of emergency surgery (ACEF-II) has been proposed to have predictive value for risk stratification in cardiac surgery. This study aimed to evaluate its utility in patients with non-ST-segment elevation myocardial infarction and unstable angina (NSTEMI-ACS) to predict 1-year major adverse cardiac events (MACE).
Methods: In all, 768 patients with NSTEMI-ACS were enrolled in the study.
J Clin Med
November 2024
Department of Invasive Cardiology, Medical University of Białystok, 15-089 Białystok, Poland.
: Simple surgical and clinical risk scores are useful in mortality prediction. : The study's aim was to validate three scores in real-world registry of percutaneous coronary intervention (PCI) for the left main coronary artery (LMCA). : All data were obtained from the BIA-LM Registry.
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