The predictive value of the HALP score for no-reflow phenomenon and short-term mortality in patients with ST-elevation myocardial infarction

Toprak, Kenan; Toprak, İbrahim Halil; Acar, Osman; Ermiş, Mehmet Fatih

doi:10.1080/00325481.2024.2319567

Postgraduate Medicine

2024

DOI: 10.1080/00325481.2024.2319567

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The predictive value of the HALP score for no-reflow phenomenon and short-term mortality in patients with ST-elevation myocardial infarction

Kenan Toprak,

İbrahim Halil Toprak,

Osman Acar

et al.

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2024

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Cited by 4 publications

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The HALP score predicts no-reflow phenomenon and long-term prognosis in patients with ST-segment elevation myocardial infarction after primary percutaneous coronary intervention

Liu,

Zhang,

et al. 2024

Coronary Artery Disease

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Introduction and objective Despite recent advances in the management of ST-segment elevation myocardial infarction (STEMI), the clinical outcome of some patients is still unsatisfactory. Therefore, early evaluation to identify high-risk individuals in STEMI patients is essential. The hemoglobin, albumin, lymphocyte, and platelet (HALP) score, as a new indicator that can reflect both nutritional status and inflammatory state of the body, can provide prognostic information. In this context, the present study was designed to investigate the relationship between HALP scores assessed at admission and no-reflow as well as long-term outcomes in patients with STEMI. Material and methods A total of 1040 consecutive STEMI patients undergoing primary PCI were enrolled in this retrospective study. According to the best cutoff value of HALP score of 40.11, the study samples were divided into two groups. The long-term prognosis was followed up by telephone. Results Long-term mortality was significantly higher in patients with HALP scores lower than 40.11 than in those higher than 40.11. The optimal cutoff value of HALP score for predicting no-reflow was 41.38, the area under the curve (AUC) was 0.727. The best cutoff value of HALP score for predicting major adverse cardiovascular events (MACE) was 40.11, the AUC was 0.763. The incidence of MACE and all-cause mortality was higher in the HALP score <40.11 group. Conclusion HALP score can independently predict the development of no-reflow and long-term mortality in STEMI patients undergoing PCI.

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The HALP score predicts no-reflow phenomenon and long-term prognosis in patients with ST-segment elevation myocardial infarction after primary percutaneous coronary intervention

Liu,

Zhang,

et al. 2024

Coronary Artery Disease

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Non-O Blood Group Is Associated with High Thrombus Burden and Poor Short- and Long-Term Prognosis in ST-Segment Elevation Myocardial Infarction Patients

Toprak,

Kaplangöray,

Omar

et al. 2024

Med Princ Pract

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Introduction: This study investigated how non-O blood groups relate to thrombus burden (TB) and prognosis in ST-segment elevation myocardial infarction (STEMI) patients, aiming to shed light on their association with thrombotic complications in cardiovascular diseases. Methods: Retrospectively, 1,180 STEMI patients undergoing primary percutaneous coronary intervention were included. The study population was divided into groups according to TB status and the groups were compared in terms of basic clinical characteristics, laboratory parameters and ABO blood group types. In addition, short-term (30 days) and long-term (12 months) clinical outcomes were assessed to evaluate the prognostic implications. Results: The analysis revealed a significant association between non-O blood groups and increased TB in STEMI patients (p = 0.001). Non-O blood group was independently associated with high TB (OR: 1.726, 95% confidence interval [CI]: 1.279–2.330, p < 0.001). Additionally, patients with non-O blood groups had higher short and long-term mortality rates (hazard ratio [HR]: 2.480, 95% CI: 1.361–4.520, p = 0.003; HR: 2.347, 95% CI: 1.433–3.844, p = 0.001; respectively). Conclusions: This study emphasizes the significance of the ABO blood group system in STEMI outcomes, associating non-O blood groups with higher TB and poorer clinical outcomes. While proposing personalized treatment strategies based on blood group status to improve reperfusion interventions and outcomes, additional trials are needed to comprehensively evaluate their impact.

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A Machine Learning Model for the Prediction of No-Reflow Phenomenon in Acute Myocardial Infarction Using the CALLY Index

Fedai,

Sariisik,

Toprak

et al. 2024

Diagnostics

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Background: Acute myocardial infarction (AMI) constitutes a major health problem with high mortality rates worldwide. In patients with ST-segment elevation myocardial infarction (STEMI), no-reflow phenomenon is a condition that adversely affects response to therapy. Previous studies have demonstrated that the CALLY index, calculated using C-reactive protein (CRP), albumin, and lymphocytes, is a reliable indicator of mortality in patients with non-cardiac diseases. The objective of this study is to investigate the potential utility of the CALLY index in detecting no-reflow patients and to determine the predictability of this phenomenon using machine learning (ML) methods. Methods: This study included 1785 STEMI patients admitted to the clinic between January 2020 and June 2024 who underwent percutaneous coronary intervention (PCI). Patients were in no-reflow status, and other clinical data were analyzed. The CALLY index was calculated using data on patients’ inflammatory status. The Extreme Gradient Boosting (XGBoost) ML algorithm was used for no-reflow prediction. Results: No-reflow was detected in a proportion of patients participating in this study. The model obtained with the XGBoost algorithm showed high accuracy rates in predicting no-reflow status. The role of the CALLY index in predicting no-reflow status was clearly demonstrated. Conclusions: The CALLY index has emerged as a valuable tool for predicting no-reflow status in STEMI patients. This study demonstrates how machine learning methods can be effective in clinical applications and paves the way for innovative approaches for the management of no-reflow phenomenon. Future research needs to confirm and extend these findings with larger sample sizes.

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The predictive value of the HALP score for no-reflow phenomenon and short-term mortality in patients with ST-elevation myocardial infarction

Cited by 4 publications

References 42 publications

The HALP score predicts no-reflow phenomenon and long-term prognosis in patients with ST-segment elevation myocardial infarction after primary percutaneous coronary intervention

The HALP score predicts no-reflow phenomenon and long-term prognosis in patients with ST-segment elevation myocardial infarction after primary percutaneous coronary intervention

Non-O Blood Group Is Associated with High Thrombus Burden and Poor Short- and Long-Term Prognosis in ST-Segment Elevation Myocardial Infarction Patients

A Machine Learning Model for the Prediction of No-Reflow Phenomenon in Acute Myocardial Infarction Using the CALLY Index

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