Serum cystatin C levels relate to no-reflow phenomenon in percutaneous coronary interventions in ST-segment elevation myocardial infarction

The predictive value of laboratory parameters for no-reflow phenomenon in patients with ST-elevation myocardial infarction following primary percutaneous coronary intervention: A meta-analysis

To date, the predictive role of laboratory indicators for the phenomenon of no flow is unclear. Hence, our objective was to conduct a meta-analysis to investigate the association between laboratory parameters and the risk of the no-reflow phenomenon in patients with ST-elevation myocardial infarction (STEMI) following primary percutaneous coronary intervention (PCI). This, in turn, aims to offer valuable insights for early clinical prediction of no-reflow. We searched Pubmed, Embase, and Cochrane Library from the establishment of the database to October 2023. We included case-control or cohort study that patients with STEMI following primary PCI. We excluded repeated publication, research without full text, incomplete information or inability to conduct data extraction and animal experiments, reviews, and systematic reviews. STATA 15.1 was used to analyze the data. The pooled results indicated that elevated white blood cell (WBC) count (odds ratio [OR] = 1.061, 95% confidence interval [CI]: 1.013-1.112), neutrophil count (OR = 1.324, 95% CI: 1.128-1.553), platelet (PLT) (OR = 1.002, 95% CI: 1.000-1.005), blood glucose (OR = 1.005, 95% CI: 1.002-1.009), creatinine (OR = 1.290, 95% CI: 1.070-1.555), total cholesterol (TC) (OR = 1.022, 95% CI: 1.012-1.032), d-dimer (OR = 1.002, 95% CI: 1.001-1.004), and fibrinogen (OR = 1.010, 95% CI: 1.005-1.015) were significantly associated with increased risk of no-reflow. However, elevated hemoglobin was significantly associated with decreased risk of no-reflow. In conclusion, our comprehensive analysis highlights the predictive potential of various parameters in assessing the risk of no-reflow among STEMI patients undergoing PCI. Specifically, WBC count, neutrophil count, PLT, blood glucose, hemoglobin, creatinine, TC,  d-dimer, and fibrinogen emerged as significant predictors. This refined risk prediction may guide clinical decision-making, allowing for more targeted and effective preventive measures to mitigate the occurrence of no-reflow in this patient population.

Novel Biomarkers and Their Role in the Diagnosis and Prognosis of Acute Coronary Syndrome

The burden of cardiovascular diseases and the critical role of acute coronary syndrome (ACS) in their progression underscore the need for effective diagnostic and prognostic tools. Biomarkers have emerged as crucial instruments for ACS diagnosis, risk stratification, and prognosis assessment. Among these, high-sensitivity troponin (hs-cTn) has revolutionized ACS diagnosis due to its superior sensitivity and negative predictive value. However, challenges regarding specificity, standardization, and interpretation persist. Beyond troponins, various biomarkers reflecting myocardial injury, neurohormonal activation, inflammation, thrombosis, and other pathways are being explored to refine ACS management. This review article comprehensively explores the landscape of clinically used biomarkers intricately involved in the pathophysiology, diagnosis, and prognosis of ACS (i.e., troponins, creatine kinase MB (CK-MB), B-type natriuretic peptides (BNP), copeptin, C-reactive protein (CRP), interleukin-6 (IL-6), d-dimers, fibrinogen), especially focusing on the prognostic role of natriuretic peptides and of inflammatory indices. Research data on novel biomarkers (i.e., endocan, galectin, soluble suppression of tumorigenicity (sST2), microRNAs (miRNAs), soluble oxidized low-density lipoprotein receptor-1 (sLOX-1), F2 isoprostanes, and growth differentiation factor 15 (GDF-15)) are further analyzed, aiming to shed light on the multiplicity of pathophysiologic mechanisms implicated in the evolution of ACS. By elucidating the complex interplay of these biomarkers in ACS pathophysiology, diagnosis, and outcomes, this review aims to enhance our understanding of the evolving trajectory and advancements in ACS management. However, further research is necessary to establish the clinical utility and integration of these biomarkers into routine practice to improve patient outcomes.

Total ischemic time and age as predictors of PCI failure in STEMIs: A systematic review

BACKGROUND

When feasible, primary percutaneous coronary intervention (PCI) is the definitive intervention for ST-elevation myocardial infarction (STEMI). However, cardiac tissue reperfusion is not always achievable after opening the infarct-related artery. Studies have investigated associating factors and scoring for the "no-reflow" phenomenon. This paper aims to systematically establish the predictive values of total ischemic time and patient age as factors of coronary no-reflow in patients undergoing primary PCI.

METHODS

A systematic search was performed using EBSCOhost, including CINAHL Complete, Academic Search Premier, MEDLINE with Full Text, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews. Search results were compiled utilizing Zotero reference manager and exported to Covidence.org for screening, selection, and data extraction by two independent reviewers. The Newcastle-Ottawa Quality Assessment Scale for Cohort Studies was used to evaluate the eight selected studies.

RESULTS

The initial search resulted in 367 articles, with eight meeting the inclusion criteria with a total of 7060 participants. Our systematic review demonstrated that for patients older than 60 years, the odds of the no-reflow phenomenon increased 1.53- 2.53 times. Additionally, patients with increased total ischemic time had 1.147- 4.655 times the odds of no-reflow incidence.

CONCLUSIONS

Patients older than 60 years with a total ischemic time >4-6 h are at higher risk of PCI failure due to the no-reflow phenomenon. Therefore, new guidelines and more research to prevent and treat this physiologic occurrence are essential to improve coronary reperfusion after primary PCI.

From Classic to Modern Prognostic Biomarkers in Patients with Acute Myocardial Infarction

Despite all the important advances in its diagnosis and treatment, acute myocardial infarction (AMI) is still one of the most prominent causes of morbidity and mortality worldwide. Early identification of patients at high risk of poor outcomes through the measurement of various biomarker concentrations might contribute to more accurate risk stratification and help to guide more individualized therapeutic strategies, thus improving prognoses. The aim of this article is to provide an overview of the role and applications of cardiac biomarkers in risk stratification and prognostic assessment for patients with myocardial infarction. Although there is no ideal biomarker that can provide prognostic information for risk assessment in patients with AMI, the results obtained in recent years are promising. Several novel biomarkers related to the pathophysiological processes found in patients with myocardial infarction, such as inflammation, neurohormonal activation, myocardial stress, myocardial necrosis, cardiac remodeling and vasoactive processes, have been identified; they may bring additional value for AMI prognosis when included in multi-biomarker strategies. Furthermore, the use of artificial intelligence algorithms for risk stratification and prognostic assessment in these patients may have an extremely important role in improving outcomes.

Predictive Value of Soluble Growth Stimulator Gene 2 Protein for Coronary Slow Flow/No-Reflow in ST-Elevation Myocardial Infarction Patients Receiving Percutaneous Coronary Intervention

Background

Soluble growth stimulator gene 2 protein (sST2) is associated with heart failure and myocardial infarction; however, the predictive value of plasma sST2 level for coronary slow flow/no-reflow (CSF/NRF) is unclear. This study aimed to explore the predictive value of plasma sST2 levels for CSF/NRF in patients with ST-elevation myocardial infarction (STEMI) who underwent emergency percutaneous coronary intervention (PCI).

Methods

A total of 242 STEMI patients who underwent emergency PCI at our hospital between November 2020 and July 2021 were enrolled in this study. According to the postprocedural procedure, these patients were divided into the CSF/NRF and control groups. Clinical data were collected from both groups and were used to explore the predictive value of serum sST2 levels for CSF/NRF.

Results

Of the total 242 patients, CSF/NRF was observed in 50 patients (20.7%). Statistically significant differences (P < 0.05) were observed in age, diabetes mellitus, sST2 level, neutrophil-to-lymphocyte ratio (NLR), fasting blood sugar, preprocedural blood pressure, intraprocedural hypotension, N-terminal pro-B-type natriuretic peptide, MB isoenzyme of creatine kinase (CK-MB), and cardiac troponin I (cTNI). Multivariate analysis showed that the sST2 level, NLR, and intraoperative hypotension were independent risk factors for CSF/NRF. ROC curve analysis showed that the sensitivity and specificity of the sST2 level for predicting CSF/NRF were 68.0% and 75.5%, respectively, when the sST2 level was more than 64.6 ng/mL (AUC = 0.780, 95% CI: 1.003–1.020, P=0.009).

Conclusion

For STEMI patients, preprocedural sST2 levels significantly correlated with CSF/NRF occurring in PCI. sST2 level is a potential predictor for CSF/NRF occurrence.

No-reflow phenomenon and in vivo cholesterol crystals combined with lipid core in acute myocardial infarction

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The number of in vivo cholesterol crystals at the culprit plaque is increased in patients with the no-reflow phenomenon.

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The number of cholesterol crystals, lipid arch, and ostium lesion are independent predictors for the no-reflow phenomenon after PCI.

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The combination of the number of cholesterol crystals and lipid arc can improve the prediction ability for the no-reflow phenomenon.

Background

The release of lipid-laden plaque material subsequent to ST-segment elevation myocardial infarction (STEMI) may contribute to the no-reflow phenomenon. The aim of this study was to investigate the association between in vivo cholesterol crystals (CCs) detected by optical coherence tomography (OCT) and the no-reflow phenomenon after successful percutaneous coronary intervention (PCI) in patients with acute STEMI.

Methods

We investigated 182 patients with STEMI. Based on the thrombolysis in myocardial infarction (TIMI) flow grade after PCI, patients were divided into a no-reflow group (n = 31) and a reflow group (n = 151). On OCT, CCs were defined as thin, high-signal intensity regions within a plaque. A multivariable logistic regression analysis was performed to determine predictors for the no-reflow phenomenon.

Results

The prevalence of CCs was higher in the no-reflow group than the reflow group (no-reflow group, 77% vs. reflow group, 53%; p = 0.012). The multivariable logistic model showed that the CC number, lipid arc and ostial lesions were positive independent predictors of no-reflow. The combination of a lipid arc ≥ 139°and CC number ≥ 12 showed good predictive performance for the no-reflow phenomenon (sensitivity, 48%; specificity, 93%; and accuracy, 86%).

Conclusion

In vivo CCs at the culprit plaque are associated with the no-reflow phenomenon after PCI in patients with STEMI. The combination of the number of CCs and lipid arc can predict the no-reflow phenomenon after PCI with a high accuracy of 86%.

D-dimer for risk stratification and antithrombotic treatment management in acute coronary syndrome patients: asystematic review and metanalysis

BACKGROUND

Data on the prognostic role of D-dimer in patients with acute coronary syndrome (ACS) are controversial. Our aim was to summarize current evidence on the association between D-dimer levels and short/long-term poor prognosis of ACS patients. We also investigated the association between D-dimer and no-reflow phenomenon.

METHODS

Systematic review and metanalysis of observational studies including ACS patients and reporting data on D-dimer levels. PubMed and SCOPUS databases were searched. Data were combined with hazard ratio (HR) and metanalysed. The principal endpoint was a composite of cardiovascular events (CVEs) including myocardial infarction, all-cause and cardiovascular mortality.

RESULTS

Overall, 32 studies included in the systematic review with 28,869 patients. Of them, 6 studies investigated in-hospital and 26 studies long-term outcomes. Overall, 23 studies showed positive association of high D-dimer levels with CVEs. D-dimer levels predicted poor prognosis in all studies reporting in-hospital outcomes. Five studies satisfied inclusion criteria and were included in the metanalysis, with a total of 8616 patients. Median follow-up was 13.2 months with 626 CVEs. The pooled HR for D-dimer levels and CVEs was 1.264 (95% CI 1.134-1.409). Five out of 7 studies (4195 STEMI patients) investigating the association between D-dimer levels and no-reflow showed a positive correlation of D-dimer levels with no-reflow.

CONCLUSIONS

In patients with ACS, D-dimer was associated with higher in-hospital and short/long-term complications. D-dimer was also higher in patients with no-reflow phenomenon. The use of D-dimer may help to identify patients with residual thrombotic risk after ACS.

TRIAL REGISTRATION

The review protocol was registered in PROSPERO International Prospective Register of Systematic Reviews: CRD42021267233 .

The ATRIA and Modified-ATRIA Scores in Evaluating the Risk of No-Reflow in Patients With STEMI Undergoing Primary Percutaneous Coronary Intervention

The no-reflow (NR) phenomenon is frequently encountered in acute coronary syndrome. We evaluated the association between anticoagulation and risk factors in atrial fibrillation (ATRIA) and modified ATRIA risk scores and NR in ST-elevation myocardial infarction (STEMI). Consecutive patients (n = 551) who underwent primary percutaneous coronary intervention between December 2019 and June 2020 due to STEMI were included. The mean age of the patients was 60.5 ± 10.8 years (n = 369, 67% male). The ATRIA and modified anticoagulation and risk factors in atrial fibrillation-hyperlipidemia, smoking, male (m-ATRIA-HS) scores were calculated. The NR group had higher frequency of diabetes mellitus (DM), serum creatine kinase-MB (CK-MB) levels, and corrected thrombolysis in myocardial infarction frame count (cTFC) (P = .002, P = .006, and P < .001, respectively). In regression analysis, ATRIA, m-ATRIA-HS, thrombus grade, and cTFC were independent predictors of NR. Age, higher CK-MB, and neutrophil-to-lymphocyte ratio and DM were the other predictors for NR. Pairwise comparison of receiver operating characteristics curve analysis showed that the m-ATRIA-HS (>2, area under curve [AUC]: 0.715) has better performance than ATRIA score (>1, AUC: 0.656), with a P < .022 and z statistics 2.279. In conclusion, ATRIA, especially the m-ATRIA-HS, can be used to evaluate NR risk in STEMI.

[The Clinical Value of no-Reflow Phenomenon in the Routing Operation of The Regional Vascular Center]

Coronary no-reflow phenomenon (CNR) is a complication of primary percutaneous coronary intervention (PCI). According to different reports, CNR occurs in 10 to 60 % of cases. Despite the long history of studying this phenomenon many issues remain unsolved. This article presents a clinical case of electrocardiographically confirmed ST-segment elevation myocardial infarction. In this case, the CNR phenomenon occurred during PCI and was associated with heart rhythm disorders, left ventricular (LV) cavity dilatation with a decrease in LV contractility, and formation of intracavitary thrombus. The patient asked for medical care late, which could influence the development of CNR. This case demonstrates the clinical significance, diagnostic characteristics, and successful drug correction of the no-reflow phenomenon.