The ACEF (age, creatinine, ejection fraction) score predicts ischemic and bleeding outcomes of patients with acute coronary syndromes treated conservatively

Risk Prediction Models for Ischemic Cardiovascular Outcomes in Patients with Acute Coronary Syndrome

Acute coronary syndrome (ACS) has a high incidence of adverse cardiovascular events, even after early invasive treatment. Patients may still have a poor prognosis after discharge. The keys to the long-term survival of patients with ACS include effective treatment in a timely manner and identification of those patients who are at higher risk for long-term adverse events. Therefore, several nations have now devised a range of risk assessment models to provide data for accurately formulating treatment plans for patients with various risk levels following an ACS to prevent short and long-term cardiovascular events. The purpose of this article is to review the risk scores associated with mortality and ischemic events in patients with ACS. By using the clinical risk prediction score, we can accurately and effectively judge the prognosis of patients, so as to take a more reasonable treatment.

The relationship between degree of coronary artery stenosis detected by coronary computed tomography angiography and ACEF risk score in patients with chronic coronary syndrome

BACKGROUND

The ACEF risk score (age, creatinine, and ejection fraction) has been associated with satisfactory predictive values not only for short-term and long-term mortality but also for major adverse cardiovascular events.

OBJECTIVES

Investigate the relationship between ACEF risk score and degree of coronary artery stenosis.

DESIGN

Retrospective, observational study.

SETTING

Tertiary percutaneous coronary intervention center.

PATIENTS AND METHODS

In patients with coronary coronary artery stenosis <70% were compared with patients with stenosis ≥70%. All were diagnosed with chronic coronary syndrome (CCS) and had undergone coronary computed tomography angiography (CTA). Receiver operating characteristic analysis was performed for the cut-off value of the ACEF risk score. Univariable and multivariable regression analyses were performed for significant parameters related to degree of coronary artery stenosis in coronary CTA.

MAIN OUTCOME MEASURES

Relationship between ACEF risk score and degree of coronary artery stenosis in coronary CTA.

SAMPLE SIZE

148 patients.

RESULTS

In the multivariable regression analysis; left ventricular ejection fraction (OR: 0.94; 95%CI: 0.89-0.99, P=.015) and ACEF risk score (OR: 5.63; 95% CI: 1.62-19.57, P=.007) were independent predictors for degree of coronary artery stenosis. The ACEF risk score was statistically significantly higher in with patients with stenosis ≥70% (1.43 [0.59]) than in patients with stenosis <70% (0.98 [0.35]), P<.001). An ACEF risk score value >1.04 was a predictor of the presence of severe coronary artery stenosis detected by coronary CTA in patients with CCS, with 66% sensitivity and 69% specificity.

CONCLUSIONS

A high ACEF risk score (age, creatinine, ejection fraction) in patients with CCS is associated with the presence of severe coronary artery stenosis detected by coronary CTA, and was useful as an assessment tool for coronary angiography in patients with CCS.

LIMITATIONS

Since we do not have long-term follow-up results, we do not know the prognostic value of the ACEF risk score in the long-term follow-up of patients with CCS.

CONFLICT OF INTEREST

None.

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

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.

Management, survival, and predictors of mortality among hospitalized heart failure patients at Debre Markos comprehensive specialized hospital, Northwest Ethiopia: Prospective cohort study

Introduction:

Heart failure is a major public health problem worldwide. Since heart failure with reduced ejection fraction and preserved ejection fraction are different clinical entities, in-hospital mortality may occur at different rates. This study aimed to assess the management, survival, and predictors of mortality among hospitalized heart failure patients at Debre Markos comprehensive specialized medical ward.

Methods:

A prospective cohort study was conducted on 228 heart failure patients at Debre Markos Comprehensive Specialized Hospital medical wards. A structured data collection tool was used to collect data. Data were analyzed using SPSS version 21.0. The Kaplan–Meier survival curve was used to investigate if there was a difference in the in-hospital survival between heart failure with a reduced ejection fraction and heart failure with a preserved ejection fraction. Those variables having p-value < 0.05 were considered statistically significant.

Results:

From the 228 participants, 126 (55.3%) were females with a mean age of 53.32 ± 15.68 years. One hundred thirty-three (58.3%) patients were presented with preserved (⩾50%) level of ejection fraction. The all-cause in-hospital death rate was 12.7%, and the risk of in-hospital mortality was higher in heart failure patients with reduced ejection fraction (7.4% vs 5.3%; p = 0.005). Current occupation (p = 0.041), elevated serum creatinine (p = 0.010), reduced ejection fraction (p = 0.017), and asthma/chronic obstructive pulmonary disease comorbidity (p = 0.002) were the independent predictors of high hospital mortality.

Conclusion:

The rate of in-hospital mortality among heart failure patients was high. Healthcare providers should provide effective education activities and define disease management strategies for patients with reduced ejection fractions.

Predictive value of the age, creatinine and ejection fraction score in patients undergoing primary percutaneous coronary intervention with bail-out tirofiban therapy

INTRODUCTION

In patients who have undergone interventional cardiac procedures, the risk of bleeding is higher than in patients who received conservative treatment due to multiple medications and comorbidities.

AIM

This study aimed to evaluate the usefulness of the age, creatinine and ejection fraction (ACEF) score for predicting bleeding events and to compare short- and long-term clinical outcomes according to the ACEF score in patients with ST-elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (pPCI) with bail-out tirofiban therapy (BOTT).

MATERIAL AND METHODS

A total of 2,543 patients were included and divided into three groups according to the following ACEF score tertiles: T1 (ACEFlow ≤ 1.033), T2 (1.033 < ACEFmid ≤ 1.371), and T3 (ACEFhigh > 1.371). The main outcomes measured were the incidence rates of relevant bleeding events and mortality within 30 days and 3 years after the procedure.

RESULTS

A total of 73 (2.9%) patients had Bleeding Academic Research Consortium bleeding events of grades 3, 4 or 5 and 104 (4%) patients died in a 30-day period. The ACEF score was effective at predicting 30-day bleeding (area under the receiver operating characteristic curve (AUC): 0.658, 95% confidence interval (CI): 0.579-0.737; p < 0.001), 30-day mortality (AUC = 0.701, 95% CI: 0.649-0.753; p < 0.001) and 3-year mortality (AUC = 0.778, 95% CI: 0.748-0.807; p < 0.001) events. Considering the ACEF score tertiles, T3 patients presented greater 30-day bleeding (1.6%, 2.8% and 4.1%; odds ratio (OR) = 2.56, 95% CI: 1.37-4.80), 30-day mortality (1.7%, 3.5% and 7.1%; OR = 4.53, 95% CI: 2.51-8.18) and 3-year mortality (6.4%, 11% and 19.8%; hazard ratio = 3.56, 95% CI: 2.58-4.91) risks.

CONCLUSIONS

The ACEF score is a user-friendly tool with excellent predictive value for bleeding events and mortality in patients undergoing pPCI with BOTT.