A simple risk score in acute ST-elevation myocardial infarction: Modified ACEF(age, creatinine, and ejection fraction) score

Kalaycı, Arzu; Oduncu, Vecih; Geçmen, Çetin; Topçu, Selim; Karabay, Can Yücel; İzgi, İbrahim Akın; Kırma, Cevat

doi:10.3906/sag-1601-11

Cited by 8 publications

(3 citation statements)

References 17 publications

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“…Kalaycı et al (13) applied the improved ACEF scoring system to evaluate STEMI patients. The score can predict the morbidity and mortality rate of heart disease patients within postoperative 1 year.…”

Section: Discussionmentioning

confidence: 99%

Predictive value of ACEF score for clinical prognosis of elderly patients with ST-segment elevation myocardial infarction after percutaneous coronary intervention

Chen

Kong

et al. 2021

Ann Palliat Med

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Background: To investigate the predictive value of the age, creatinine, and ejection fraction (ACEF) score for cardiac death in patients aged ≥75 years diagnosed with acute ST-segment elevation myocardial infarction (STEMI) at 1 month and 1 year after emergency percutaneous coronary intervention (PCI).Methods: A total of 360 patients with STEMI undergoing emergency PCI in the Department of Cardiology of Anhui Provincial Hospital from January 2013 to April 2018 were consecutively recruited. The primary endpoint event was cardiac death at postoperative 1 month and 1 year. The ROC curve was utilized to evaluate ACEF scoring system and predict cardiac death rate.Results: According to ACEF score upon admission, 360 patients were divided into low-to-intermediate risk group (n=80) with ACEF score of 0.99-1.27 (1.18±0.07) and high-risk group (n=280) with ACEF score of 1.28-4.14 (1.83±0.51). The age, left ventricular ejection fraction (LVEF), estimated glomerular filtration rate (eGFR), heart rate and the proportion of complete revascularization in the high-risk group were significantly higher than those in low-to-intermediate risk group (all P<0.05). The area under ROC curve for ACEF scoring system to predict cardiac death at 1 month and 1 year following PCI was 0.809 and 0.763, respectively.Conclusions: ACEF value upon admission can predict the cardiac death rate at 1 month and 1 year after emergency PCI in STEMI patients aged ≥75 years old.

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Section: Discussionmentioning

confidence: 99%

Predictive value of ACEF score for clinical prognosis of elderly patients with ST-segment elevation myocardial infarction after percutaneous coronary intervention

Chen

Kong

et al. 2021

Ann Palliat Med

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“…In addition, the Clinical SYNTAX score (CSS) also has been reported to show a predictive value in patients with heavily calcified coronary stenosis undergoing RA with stent implantation [ 11 ]. The ACEF score, containing three core parameters of age, creatinine and LVEF, is simple and handy risk- stratification model for PCI, which has been confirmed by our team in STEMI patients aged ≥ 75 years old [ 10 ], as well as other groups [ 8 , 18 , 19 ]. The age, gender proportion and LVEF between the low-to-intermediate risk and high-risk groups was significant difference, but the PCI parameters between the two groups had no statistical difference, which suggested the application of ACEF score between the two groups in the present study.…”

Section: Discussionmentioning

confidence: 67%

Predictive value of ACEF score for clinical prognosis of patients with heavily calcified coronary lesions after percutaneous coronary intervention with rotational atherectomy

Chen

Qiu

et al. 2022

J Cardiothorac Surg

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Background To inquiry the predictive value of the age, creatinine, and ejection fraction (ACEF) score for cardiac mortality in patients diagnosed with heavily calcified coronary lesions at 1 year after percutaneous coronary intervention (PCI) with rotational atherectomy (RA). Methods 275 patients with heavily calcified coronary lesions undergoing PCI with RA in the Department of Cardiology of Anhui Provincial Hospital from January 2017 to December 2019 were consecutively recruited. The primary endpoint event was cardiac death at postoperative 1 year. The ROC curve was used to assess ACEF scoring system and predict cardiac mortality. Results In term of ACEF score upon admission, 275 patients were divided into low-to-intermediate risk group (n = 130) with ACEF score < 1.23 and high-risk group (n = 145) with ACEF score ≥ 1.23. The age, gender proportion and left ventricular ejection fraction (LVEF) have a significant difference between the low-to-intermediate risk group and the high-risk group (all P < 0.05). The area under ROC curve for ACEF scoring system to predict cardiac mortality at 1 year after PCI with RA was 0.756 and 0.715, respectively. Conclusions ACEF value upon admission can predict the cardiac mortality at 1 year following PCI with RA in heavily calcified coronary lesions patients.

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“…Since the introduction of aspirin and thrombolytic therapy, LVEF is the most consistent predictor of mortality in STEMI [ 21 ] and is included in mortality score systems such as ACEF (age, creatinine, and ejection fraction) [ 22 ]. Impaired LV systolic function also remains a strong predictor of cardiovascular events in STEMI patients undergoing PCI [ 23 ].…”

Section: Discussionmentioning

confidence: 99%

Nomogram for Predicting In-Hospital Mortality in Patients with Acute ST-Elevation Myocardial Infarction Complicated by Cardiogenic Shock after Primary Percutaneous Coronary Intervention

Wang

Liu

et al. 2022

Journal of Interventional Cardiology

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Background. Mortality after percutaneous coronary intervention (PCI) in ST-elevation myocardial infarction (STEMI) patients with cardiogenic shock (CS) remains high. However, the real-world risk factors for mortality in these patients are poorly defined. Objective. The aim of this study is to establish a clinical prognostic nomogram for predicting in-hospital mortality after primary PCI in STEMI patients with CS. Methods. This retrospective, multicenter, observational study included STEMI patients with CS who underwent PCI at 39 hospitals in Hebei Province from January 2018 to December 2019. A multivariate logistic regression model was used to identify the factors associated with in-hospital mortality. These factors were then incorporated into a nomogram and its performance was evaluated by discrimination, calibration, and clinical utility. Results. This study included 274 patients, among whom 179 died in hospital. Sex, random blood glucose on admission, ejection fraction after PCI, no-reflow, and intra-aortic balloon pump (IABP) were independently associated with in-hospital mortality (all P < 0.05 ). In the training set, the nomogram showed a C-index of 0.819, goodness-of-fit of 0.08, and area under the receiver operating characteristic curve (AUC) of 0.819 (95%CI = 0.759–0.879). In the testing set, the C-index was 0.842, goodness-of-fit was 0.585, and AUC was 0.842 (95%CI = 0.715–0.970). The results indicate that the nomogram had good discrimination and good prediction accuracy and could achieve a good net benefit. Conclusion. We established and validated a nomogram that provided individual prediction of in-hospital mortality for STEMI patients with CS after PCI in a Chinese population.

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A simple risk score in acute ST-elevation myocardial infarction: Modified ACEF(age, creatinine, and ejection fraction) score

Abstract: The modified ACEF score is a predictor of cardiac mortality and morbidity during 1-year follow-up.

Cited by 8 publications

References 17 publications

Predictive value of ACEF score for clinical prognosis of elderly patients with ST-segment elevation myocardial infarction after percutaneous coronary intervention

Predictive value of ACEF score for clinical prognosis of elderly patients with ST-segment elevation myocardial infarction after percutaneous coronary intervention

Predictive value of ACEF score for clinical prognosis of patients with heavily calcified coronary lesions after percutaneous coronary intervention with rotational atherectomy

Nomogram for Predicting In-Hospital Mortality in Patients with Acute ST-Elevation Myocardial Infarction Complicated by Cardiogenic Shock after Primary Percutaneous Coronary Intervention

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