Incidence, Clinical Characteristics and Short-Term Prognosis in Patients With Cardiogenic Shock and Various Left Ventricular Ejection Fractions After Acute Myocardial Infarction

Prediction of major adverse cardiovascular events following acute myocardial infarction using electrocardiogram DETERMINE score

BACKGROUND

Acute myocardial infarction (AMI) remains a major cause of mortality and morbidity globally, with a high incidence of major adverse cardiovascular events (MACE) post-primary percutaneous coronary intervention (PPCI). The DETERMINE score, derived from electrocardiographic (ECG) markers, has shown promise as a predictor of adverse outcomes, but its clinical utility requires further validation.

OBJECTIVE

To evaluate the predictive value of the DETERMINE score for MACE and provide early clinical warnings for high-risk patients.

METHODS

This bidirectional cohort study included AMI patients from the Second Affiliated Hospital of Anhui Medical University between 2019 and 2023. The training cohort comprised 545 patients between January 2019 and January 2023, while the validation cohort consisted of 122 patients between February 2023 and July 2023. The primary endpoint was MACE within one-year post-PPCI. The relationship between the DETERMINE score and MACE was analyzed using Cox regression, trend tests, and restricted cubic splines to assess linear and nonlinear associations. Patients were stratified into risk groups based on tertiles or optimal cutoffs, and Kaplan-Meier survival curves compared MACE incidence across groups. Predictive accuracy was evaluated through time-dependent C-index, ROC curves, decision curve analysis, and calibration, and compared to other prognostic scores, including the Selvester, GRACE, and SYNTAX scores, as well as left ventricular ejection fraction (LVEF). Subgroup analyses by sex, age, and culprit artery involvement were also conducted.

RESULTS

Cox multivariate regression indicated that the DETERMINE score was an independent risk factor for MACE (HR = 1.56, 95% CI 1.38-1.75, P < 0.001). Trend test and RCS showed a positive correlation and non-linear relationship between the DETERMINE score and MACE (P-trend < 0.001, P-overall < 0.001, P-nonlinear: 0.003). Kaplan-Meier survival analysis revealed that, in both the training and validation datasets, groups with a higher DETERMINE score showed a higher cumulative risk of MACE. The DETERMINE score outperformed traditional prognostic scores (Selvester, GRACE, SYNTAX) in terms of predictive accuracy, with an AUROC of 0.840 at 12 months in the training cohort. The score also provided a substantial clinical net benefit, particularly over longer follow-up periods. Subgroup analyses confirmed its predictive power across different demographics and clinical presentations.

CONCLUSION

The DETERMINE score has outstanding predictive power for MACE post-PPCI, which can guide the early identification of high-risk patients with poor prognosis of AMI in clinical practice.

Long-Term Risk of Cardiovascular Death in Patients With Mildly Reduced Ejection Fraction After Acute Myocardial Infarction: A Multicenter, Prospective Registry Study

BACKGROUND

The prognostic implication of mildly reduced ejection fraction (mrEF) after acute myocardial infarction has not been clearly demonstrated. We investigated the long-term risk of cardiovascular death and its predictors in patients with mrEF following acute myocardial infarction.

METHODS AND RESULTS

A total of 18 668 patients who presented with acute myocardial infarction were included in 2 prospective, multicenter registries. The incidence of adverse cardiovascular events according to the left ventricular ejection fraction (EF) strata at index admission were evaluated. A score system consisting of clinical variables were developed to predict long-term cardiovascular death in the mrEF group. There were 2548 patients with reduced EF (EF ≤40%), 4266 patients with mrEF (EF 41%-49%), and 11 854 patients with preserved EF (EF ≥50%). During a median follow-up period of 37.9 months, the cardiovascular death rate was 22.3% in the reduced EF group, 10.3% in the mrEF group, and 7.3% in the preserved EF group (P<0.001). In the mrEF group, age>65 years, hypertension, stroke, severe renal insufficiency, and Killip class ≥3 were independent predictors for cardiovascular death. Presence of >2 predictors best discriminated the high-risk patients for cardiovascular death with an area under the curve of 0.746. Incidence of cardiovascular death in the high-risk mrEF group was comparable with the rEF group, while it was lower in the low-risk mrEF group than in the pEF group.

CONCLUSIONS

Patients with mrEF after acute myocardial infarction had a modest risk of cardiovascular death. Clinical predictors could help discriminate a high-risk subpopulation with cardiovascular death risks comparable with those in the reduced EF group.

Storax Attenuates Cardiac Fibrosis following Acute Myocardial Infarction in Rats via Suppression of AT1R-Ankrd1-P53 Signaling Pathway

Myocardial fibrosis following acute myocardial infarction (AMI) seriously affects the prognosis and survival rate of patients. This study explores the role and regulation mechanism of storax, a commonly used traditional Chinese medicine for treatment of cardiovascular diseases, on myocardial fibrosis and cardiac function. The AMI rat model was established by subcutaneous injection of Isoproterenol hydrochloride (ISO). Storax (0.1, 0.2, 0.4 g/kg) was administered by gavage once/d for 7 days. Electrocardiogram, echocardiography, hemodynamic and cardiac enzyme in AMI rats were measured. HE, Masson, immunofluorescence and TUNEL staining were used to observe the degree of pathological damage, fibrosis and cardiomyocyte apoptosis in myocardial tissue, respectively. Expression of AT1R, CARP and their downstream related apoptotic proteins were detected by WB. The results demonstrated that storax could significantly improve cardiac electrophysiology and function, decrease serum cardiac enzyme activity, reduce type I and III collagen contents to improve fibrosis and alleviate myocardial pathological damage and cardiomyocyte apoptosis. It also found that storax can significantly down-regulate expression of AT1R, Ankrd1, P53, P-p53 (ser 15), Bax and cleaved Caspase-3 and up-regulate expression of Mdm2 and Bcl-2. Taken together, these findings indicated that storax effectively protected cardiomyocytes against myocardial fibrosis and cardiac dysfunction by inhibiting the AT1R-Ankrd1-P53 signaling pathway.

Comparison of Long-Term Clinical Outcomes in Patients Stratified by a Novel Acute Myocardial Infarction Risk Stratification (nARS) System

BACKGROUND

As severity of acute myocardial infarction (AMI) varies widely, several risk stratifications for AMI have been reported. We have introduced a novel AMI risk stratification system linked to a rehabilitation program (novel AMI risk stratification; nARS), which stratified AMI patients into low (L)-, intermediate (I)-, and high (H)-risk groups. The purpose of this retrospective study was to compare the long-term clinical outcomes in patients with AMI among L-, I-, H-risk groups.

METHODS AND RESULTS

This study included 773 AMI patients, and assigned them into the L-risk group (n=332), the I-risk group (n=164), and the H-risk group (n=277). The primary endpoint was major cardiovascular events (MACE), defined as the composite of all-cause death, readmission for heart failure, non-fatal myocardial infarction, and target vessel revascularization after the discharge of index admission. The median follow-up duration was 686 days. MACE was most frequently observed in the H-risk group (39.4%), followed by the I-risk group (23.2%), and least in the L-risk group (19.9%) (P<0.001). The multivariate Cox hazard analysis revealed that the H-risk was significantly associated with MACE (HR 2.166, 95% CI 1.543-3.041, P<0.001) after controlling for multiple confounding factors.

CONCLUSIONS

H-risk according to nARS was significantly associated with long-term adverse events after hospital discharge for patients with AMI. These results support the validity of nARS as a risk marker for long-term outcomes.