Clinical Manifestation, Timing Course, Precipitating Factors, and Protective Factors of Ventricular Free Wall Rupture Following ST-Segment Elevation Myocardial Infarction

Factors related to cardiac rupture after acute myocardial infarction

Background

Cardiac rupture (CR) after acute myocardial infarction (AMI) is a fatal mechanical complication. The early identification of factors related to CR in high-risk cases may reduce mortality. The purpose of our study was to discover relevant risk factors for CR after AMI and in-hospital mortality from CR.

Methods

In this study, we enrolled 1,699 AMI cases from October 2013 to May 2020. A total of 51 cases were diagnosed with CR. Clinical diagnostic information was recorded and analyzed retrospectively. We randomly matched these cases with AMI patients without CR in a 1:4 ratio. Univariate and multivariate logistic regression and stratifying analysis were used to identify risk factors for CR. Univariate and multivariate Cox regression hazard analysis and stratifying analysis were used to assess predictors of in-hospital mortality from CR.

Results

The incidence of CR after AMI was 3.0% and in-hospital mortality was approximately 57%. Multivariate logistic regression analysis identified that white blood cell count, neutrophil percentage, anterior myocardial infarction, a Killip class of >II, and albumin level were independently associated with CR (p < 0.05). Stratifying analysis showed that age, systolic blood pressure, and bicarbonate were independent risk factors for female CR (p < 0.05) but not male CR. Triglyceride and cardiac troponin I were independent risk factors for male CR (p < 0.05) but not female CR. Anterior myocardial infarction, a Killip class of >II, and neutrophil percentage were independent risk factors for male and female CR (p < 0.05). Multivariate Cox regression analysis showed that the time from symptom to CR and the site of CR were independent predictors for in-hospital mortality from CR (p < 0.05). Stratification analysis indicated that risk factors did not differ based on gender, but platelet counts were predictors for in-hospital mortality in female and male CR.

Conclusion

Low albumin, a high white blood cell count, neutrophil percentage, anterior myocardial infarction, and a Killip class of >II were independent and significant predictors for CR. However, risk factors are different in male and female CR. The time from symptom to CR, the site of CR, and platelet counts were independent predictors for in-hospital mortality from CR. These may be helpful in the early and accurate identification of high-risk patients with CR and the assessment of prognosis. In addition, gender differences should be considered.

Unveiling the microbiota-metabolite-myocardium axis: a novel perspective on cardiovascular health

Introduction

Cardiovascular diseases, including myocardial infarction, remain a leading cause of death globally. Emerging evidence suggests the gut microbiota plays a crucial role in cardiovascular health. This study aims to explore the impact of gut microbiota on myocardial infarction using a mouse model.

Methods

The research utilizes a multi-omics approach, including 16S rDNA sequencing and LC-MS-based metabolomics to analyze fecal and serum samples from mice modeled to mimic myocardial infarction. This methodology allows for a comprehensive analysis of microbial populations and their metabolic output.

Results

The findings reveal a significant reduction in gut microbiota α-diversity in mice with induced myocardial infarction compared to healthy controls. Notably, there is an increase in populations of Fusobacteria and Clostridia. Metabolomic analysis indicates disruptions in amino acid and energy metabolism, suggesting a metabolic dysregulation linked to myocardial health.

Discussion

The study proposes a novel microbiota-metabolite-myocardium axis, where specific microbial metabolites may directly affect heart health. This connection points to the gut microbiota as a potential player in the pathogenesis of myocardial infarction and may open new therapeutic avenues targeting the gut microbiome to combat cardiovascular diseases.

Time course of cardiac rupture after acute myocardial infarction and comparison of clinical features of different rupture types

Objective

This study aimed to investigate the time course of cardiac rupture (CR) after acute myocardial infarction (AMI) and the differences among different rupture types.

Method

We retrospectively analyzed 145 patients with CR after AMI at Shanxi Cardiovascular Hospital from June 2016 to September 2022. Firstly, according to the time from onset of chest pain to CR, the patients were divided into early CR (≤24 h) (n = 61 patients) and late CR (>24 h) (n = 75 patients) to explore the difference between early CR and late CR. Secondly, according to the type of CR, the patients were divided into free wall rupture (FWR) (n = 55) and ventricular septal rupture (VSR) (n = 90) to explore the difference between FWR and VSR.

Results

Multivariate logistic regression analysis showed that high white blood cell count (OR = 1.134, 95% CI: 1.019-1.260, P = 0.021), low creatinine (OR = 0.991, 95% CI: 0.982-0.999, P = 0.026) were independently associated with early CR. In addition, rapid heart rate (OR = 1.035, 95% CI: 1.009-1.061, P = 0.009), low systolic blood pressure (OR = 0.981, 95% CI: 0.962-1.000, P = 0.048), and anterior myocardial infarction (OR = 5.989, 95% CI: 1.978-18.136, P = 0.002) were independently associated with VSR.

Conclusion

In patients with CR, high white blood cell count and low creatinine were independently associated with early CR, rapid heart rate, low systolic blood pressure, and anterior myocardial infarction were independently associated with VSR.

Risk of cardiac rupture among elderly patients with diabetes presenting with first acute myocardial infarction

Objective

We aimed to analyze the risk of cardiac rupture (CR) in aged diabetic patients with acute ST-segment elevated myocardial infarction (STEMI) who were followed up for one month, and analyze its independent risk factors.

Methods

A total of 3063 aged patients with first onset STEMI admitted to Beijing Anzhen Hospital from January 2001 to December 2020 were retrospectively included. There were 2020 patients without diabetes mellitus (DM) and 1043 patients with DM. We used propensity scores matching (PSM) method to balance baseline exposure factors between patients with or without DM, and all were divided the DM group (1043 cases) and the non-DM group (1043 cases) after the PSM. The primary outcome was CR (the composite rate of papillary muscle rupture, ventricular septum perforation, free wall rupture), which was diagnosed based on clinical manifestations and/or echocardiographic findings. Kaplan-meier survival analyses and log-rank test was used to evaluate the risk of CR between the two groups, and Cox regression analysis was used to evaluate the independent risk factors for CR.

Results

After PSM, the baseline clinical data were similar between the DM and non-DM group (all P>0.05). However, level of glycated hemoglobin was significantly higher in the DM group (P<0.05). During 1 month of follow-up, there were 55 (2.64%) cases of CR, most occurred within 48h after admission (40 cases). Among the 55 cases, 11(0.53%) had papillary muscle rupture, 18(0.86%) had ventricular septum perforation, and 26(1.25%) had free wall rupture. Kaplan-meier survival analyses detected that the DM group was associated with significantly increased risk of CR (3.36% vs. 1.92%, HR=1.532, 95% CI: 1.054-2.346, P=0.030), ventricular septum perforation (1.05% vs. 0.67%, HR=1.464, 95% CI: 1.021-2.099, P=0.038) and free wall rupture (1.63% vs. 0.86%, HR=1.861, 95% CI: 1.074-3.225, P=0.027) than those in the non-DM group. Among the 2031 aged STEMI patients without CR, 144 cases (6.90%, 144/2086) died; and among the 55 patients with CR, 37 cases (1.77%, 37/2086) died due to CR. Therefore, twenty percent (20.44%, 37/181) of death was due to CR. Multivariate Cox regression analysis indicated that DM (HR=1.532, 95%CI: 1.054-2.346), age (HR=1.390, 95%CI: 1.079-1.791), female (HR=1.183, 95%CI: 1.049-1.334), troponin I (HR=1.364, 95%CI: 1.108-1.679), brain natriuretic peptide (HR=1.512, 95%CI: 1.069-2.139), revascularization (HR=0.827, 95%CI: 0.731-0.936) and β-receptor blocker (HR=0.849, 95%CI: 0.760-0.948) were independent risk factors of CR (all P<0.05).

Conclusion

DM as well as a few other factors, are independent determinants of CR. CR is not a rare event among the aged STEMI patients and twenty percent of deaths are due to CR. However, large sample-sized studies are warranted to confirm these findings.

Neutrophil percentage-to-albumin ratio and monocyte-to-lymphocyte ratio as predictors of free-wall rupture in patients with acute myocardial infarction

Backgrounds

Free‐wall rupture (FWR) has a high mortality rate. We aimed to find sensitive predictive indicators to identify high‐risk FWR patients by exploring the predictive values of neutrophil percentage‐to‐albumin ratio (NPAR) and monocyte‐to‐lymphocyte ratio (MLR) on patients with acute myocardial infarction (AMI).

Methods

76 FWR patients with AMI were collected, and then 228 non‐CR patients with AMI were randomly selected (1:3 ratio) in this retrospective study. The independent influencing factors of FWR were evaluated by univariate and multivariate logistic regression analysis. The receiver‐operating characteristic (ROC) curve analysis was applied to evaluate the predictive value of NPAR and MLR for FWR.

Results

According to the results of multivariate logistic regression analysis, emergency percutaneous coronary intervention (PCI) (OR = 0.27, 95% CI: 0.094–0.751, p = 0.012), angiotensin‐converting enzyme inhibitor (ACEI)/angiotensin receptor blocker (ARB) treatment (OR = 0.17, 95% CI: 0.044–0.659, p = 0.010), NPAR (OR = 2.69, 95% CI: 1.031–7.044, p = 0.043), and MLR (OR = 5.99, 95% CI: 2.09–17.168, p = 0.001) were the influencing factors of the FWR patients with AMI, independently. Additionally, the NPAR and MLR were the predictors of FWR patients, with AUC of 0.811 and 0.778, respectively (both p < 0.001).

Conclusions

In summary, the emergency PCI and ACEI/ARB treatment were independent protective factors for FWR patients with AMI, while the increase of MLR and NPAR were independent risk factors. What's more, NPAR and MLR are good indicators for predicting FWR.

New risk factors for early- and late-onset cardiac rupture in ST-elevation myocardial infarction patients after primary percutaneous coronary intervention

BACKGROUND

Cardiac rupture (CR) is a catastrophic complication of acute myocardial infarction. Primary percutaneous coronary intervention (pPCI) reduces the incidence of CR. This study aimed to investigate the clinical risk factors and characteristics of CR after pPCI.

METHODS

This was a retrospective, case-control, multicenter study. We enrolled 2444 consecutive patients with ST-elevation myocardial infarction (STEMI) who had undergone pPCI between 2009 and 2015; 33 patients experienced CR (1.35%): 19 were assigned as early CR (≤72 h) and 14 as late CR (>72 h). The 132 controls were randomly selected from the 2411 STEMI patients without CR, by matching institutions at a 1:4 ratio.

RESULTS

Multivariate logistic regression revealed that female sex, acute hyperglycemia, thrombocytopenia (platelets <15 × 10⁴/µL), and incomplete revascularization [post-PCI thrombolysis in myocardial infarction (TIMI) <3] were independent risk factors for CR (p<0.05). Older age, female sex, and emergency surgical repair were strongly associated with in-hospital death, which occurred in 66.7% of CR patients (p<0.05). Univariate logistic regression adjusted for age and sex revealed that low systolic blood pressure, anterior infarction, acute hyperglycemia, Killip class >1, and post-PCI TIMI <3 were significantly associated with early CR, and that Killip class >1 and thrombocytopenia were strongly associated with late CR. Early CR occurred more frequently between 12:00 and 21:00 h, whereas the peak incidence of late CR was bimodal between 6:00-12:00 and 21:00-24:00 h.

CONCLUSIONS

In STEMI patients after pPCI, acute hyperglycemia and thrombocytopenia are new risk factors for early and late CR, respectively. Clinical risk factors and time of occurrence of early and late CR may differ in the PCI era.