Dataset Information

Predictive value of the age, creatinine, and ejection fraction score in patients with myocardial infarction with nonobstructive coronary arteries.

ABSTRACT:

Background

Little is known about risk stratification in patients with myocardial infarction with nonobstructive coronary arteries (MINOCA). We investigated whether the age, creatinine, and ejection fraction (ACEF) score (age [years]/ejection fraction [%] + 1 [if creatinine >176 μmol/L]) might predict long-term outcomes after MINOCA.

Hypothesis

The ACEF score enables accurate risk prediction in patients with MINOCA.

Methods

A total of 1179 patients with MINOCA were enrolled and divided based on their ACEF score tertile levels. The primary endpoint was a composite of major adverse cardiovascular events (MACE), including all-cause death, nonfatal MI, nonfatal stroke, revascularization, and hospitalization for unstable angina or heart failure. Kaplan-Meier and Cox regression analyses were performed. Discrimination was defined as the area under the curve (AUC) using receiver operating characteristic analysis.

Results

During the median follow-up of 41.7 months, patients with MINOCA with higher ACEF score tertiles had a significantly higher incidence of MACE (6.3%, 12.5%, and 23.8%, respectively; p < .001). The adjusted risk of MACE increased with the rising ACEF score tertiles (1st tertile as reference; 2nd tertile: HR 2.70, 95% CI: 1.38-5.29, p = .004; and 3rd tertile: HR 5.35, 95% CI: 2.72-10.51, p < .001). Moreover, an elevated ACEF score was closely associated with an increased risk of MACE overall (HR 4.23, 95% CI: 3.37-5.30, p < .001) and in subgroups (all p < .05). The ACEF score also yielded a good predictive value (AUC 0.79) for MACE.

Conclusion

Elevated ACEF scores were strongly associated with a poor prognosis after MINOCA. This simple and valid risk score may facilitate risk stratification and decision making in the population with MINOCA.

SUBMITTER: Gao S

PROVIDER: S-EPMC8259146 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Aims: HFA-PEFF score has been proposed for diagnosing heart failure with preserved ejection fraction (HFpEF). Currently, there are only a limited number of tools for predicting the prognosis. In this study, we evaluated whether the HFA-PEFF score can predict mortality in patients with HFpEF. Methods: This single-center, retrospective observational study enrolled patients diagnosed with HFpEF at the First Affiliated Hospital of Dalian Medical University between January 1, 2015, and April 30, 2018. The subjects were divided according to their HFA-PEFF score into low (0-2 points), intermediate (3-4 points), and high (5-6 points) score groups. The primary outcome was all-cause mortality. Results: A total of 358 patients (mean age: 70.21 ± 8.64 years, 58.1% female) were included. Of these, 63 (17.6%), 156 (43.6%), and 139 (38.8%) were classified into the low, intermediate, and high score groups, respectively. Over a mean follow-up of 26.9 months, 46 patients (12.8%) died. The percentage of patients who died in the low, intermediate, and high score groups were 1 (1.6%), 18 (11.5%), and 27 (19.4%), respectively. A multivariate Cox regression identified HFA-PEFF score as an independent predictor of all-cause mortality [hazard ratio (HR):1.314, 95% CI: 1.013-1.705, P = 0.039]. A Cox analysis demonstrated a significantly higher rate of mortality in the intermediate (HR: 4.912, 95% CI 1.154-20.907, P = 0.031) and high score groups (HR: 5.291, 95% CI: 1.239-22.593, P = 0.024) than the low score group. A receiver operating characteristic (ROC) analysis indicated that the HFA-PEFF score can effectively predict all-cause mortality after adjusting for age and New York Heart Association (NYHA) class [area under the curve (AUC) 0.726, 95% CI 0.651-0.800, P = 0.000]. With an HFA-PEFF score cut-off value of 3.5, the sensitivity and specificity were 78.3 and 54.8%, respectively. The AUC on ROC analysis for the biomarker component of the score was similar to that of the total score. Conclusions: The HFA-PEFF score can be used both to diagnose HFpEF and predict the prognosis. The higher scores are associated with higher all-cause mortality.

Project description:AimsThe prevalence of heart failure (HF) after acute myocardial infarction (AMI) is common. Contemporary data are lacking on the prognostic utility of the measurement of biomarker for patients with AMI complicated by HF according to preserved (HFpEF) and reduced ejection fraction (HFrEF). We aim to assess the association between D-dimer levels and all-cause mortality in patients with AMI complicated by different HF subtypes during hospitalization in the context of other risk factors.Methods and resultsWe enrolled 4495 patients with AMI with complete clinical and laboratory variable assessments in this cohort. D-dimer levels were measured on admission immediately at baseline. We used Cox proportional hazards analysis to assess this association accounting for 18 relevant clinical variables. During the index hospitalization, 589 patients with AMI developed HFpEF, 513 patients with AMI developed HFrEF, and 3393 patients with AMI did not develop HF. The patients were divided into HFpEF, HFrEF, and non-HF groups accordingly. The median length of follow-up was 1 year (range: 1 to 24 months). During the whole follow-up, 58 (15.5%), 107 (27.9%), and 96 (4.2%) of the patients experienced death event in HFpEF, HFrEF, and non-HF groups, respectively. In each group, the patients were divided into high or low D-dimer levels according to D-dimer concentration (145 ng/mL). In the fully adjusted model, the risk of all-cause mortality of those patients with high D-dimer levels was 2.09 [95% confidence intervals (CI): 1.08 to 4.02, P = 0.02] times as high as the risk of patients with low D-dimer levels in HFpEF group. When analysing D-dimer as a continuous variable, this associations still existed. But there was no significant association between D-dimer concentration and all-cause mortality in HFrEF [hazard ratio (HR): 1.25, CI: 0.76 to 2.04, P = 0.37] or non-HF (HR: 1.56, CI: 0.98 to 2.47, P = 0.06), respectively, after fully adjustment for other key clinical variables.ConclusionsHigh D-dimer levels on admission were found to be strongly associated with the subsequent cumulative incidence of all-cause mortality in patients with AMI complicated by HFpEF.

Project description:BackgroundThe role of stress hyperglycemia in acute myocardial infarction (AMI) has long been emphasized. Recently, the stress hyperglycemia ratio (SHR), a novel index reflecting an acute glycemia rise, has shown a good predictive value in AMI. However, its prognostic power in myocardial infarction with nonobstructive coronary arteries (MINOCA) remains unclear.MethodsIn a prospective cohort of 1179 patients with MINOCA, relationships between SHR levels and outcomes were analyzed. SHR was defined as acute-to-chronic glycemic ratio using admission blood glucose (ABG) and glycated hemoglobin. The primary endpoint was defined as major adverse cardiovascular events (MACE), including all-cause death, nonfatal MI, stroke, revascularization, and hospitalization for unstable angina or heart failure. Survival analyses and receiver-operating characteristic (ROC) curve analyses were performed.ResultsOver the median follow-up of 3.5 years, the incidence of MACE markedly increased with higher SHR tertile levels (8.1%, 14.0%, 20.5%; p < 0.001). At multivariable Cox analysis, elevated SHR was independently associated with an increased risk of MACE (HR 2.30, 95% CI: 1.21-4.38, p = 0.011). Patients with rising tertiles of SHR also had a significantly higher risk of MACE (tertile 1 as reference; tertile 2: HR 1.77, 95% CI: 1.14-2.73, p = 0.010; tertile 3: HR 2.64, 95% CI: 1.75-3.98, p < 0.001). SHR remained a robust predictor of MACE in patients with and without diabetes; whereas ABG was no longer associated with the MACE risk in diabetic patients. SHR showed an area under the curve of 0.63 for MACE prediction. By incorporating SHR to TIMI risk score, the combined model further improved the discrimination for MACE.ConclusionsThe SHR independently confers the cardiovascular risk after MINOCA, and may serve as a better predictor than glycemia at admission alone, particularly in those with diabetes.KEY MESSAGESStress hyperglycemia ratio (SHR) is independently associated with the prognosis in a distinct population with myocardial infarction with nonobstructive coronary arteries (MINOCA).SHR is a better predictor of prognosis than admission glycemia alone, especially in diabetic patients with MINOCA.SHR may serve as a prognostic marker for risk stratification as well as a potential target for tailored glucose-lowering treatment in MINOCA.

Project description:BackgroundAcute myocardial infarction (AMI) with no evidence of relevant stenosis of the coronary artery, known as myocardial infarction (MI) with nonobstructive coronary arteries (MINOCA), has a prevalence of up to 14%. The various causes of MINOCA lead to damage of the myocardium, and there are marked differences in diagnoses, prognoses, and treatments. Although the number of patients affected is considerable owing to the high prevalence of acute coronary syndrome (ACS), the causes of MINOCA have received little attention with the result that some patients may not receive appropriate treatment. Awareness of this disease among clinicians has started only to improve since the beginning of the current century. The aim of this study was to develop a score that enables patients with MINOCA to be distinguished from patients with MI with coronary artery disease (MI-CAD) and thus to facilitate appropriate diagnosis and therapy.Patients and methodsA multicenter observational cohort study was designed. All patients aged ≥18 years from the ARIAM-SEMICYUC (Analysis of Delay in AMI-Spanish Society of Intensive Care Medicine and Coronary Unit) registry, diagnosed with AMI, and admitted to critical care units or coronary care units (CCUs) were included. Patients were classified into two groups: MINOCA, comprising patients with no significant lesions on angiography, and MI-CAD, comprising patients with lesions of the coronary artery tree.ResultsA score based on standard variables to assess the probability of MINOCA on admission was designed, showing a maximum value corresponding to a 40% probability of MINOCA. The discriminative power of the model was 0.756 (P-value for the Hosmer-Lemeshow test was >0.05). At 30-day follow-up, the mortality rate was higher for MI-CAD patients.ConclusionPatients with MINOCA constitute a population that differs from other patients with AMI. Their differential characteristics require a certain diagnostic effort to align therapy with the disease causing the ischemic event. This score could prove useful in establishing additional diagnostic procedures.