Matteo Armillotta, Luca Bergamaschi, Francesco Angeli, Marta Belmonte, Marcello Casuso Alvarez, Angelo Sansonetti, Damiano Fedele, Sara Amicone, Lisa Canton, Davide Bertolini, Andrea Impellizzeri, Francesca Bodega, Nicole Suma, Francesco Pio Tattilo, Daniele Cavallo, Ornella Di Iuorio, Khrystyna Ryabenko, Andrea Rinaldi, Francesco Saia, Gianni Casella, Jacopo Lenzi, Paola Rucci, Pasquale Paolisso, Carmine Pizzi
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This study aimed to assess the association of glucometabolic parameters-admission blood glucose (ABG), glycated hemoglobin (HbA1c) and stress hyperglycemia ratio (SHR)-with type 4a MI in NSTEMI patients undergoing PCI and evaluate their independent predictive role.</p><p><strong>Methods: </strong>Consecutive NSTEMI patients undergoing PCI from the AMIPE multicenter prospective registry (NCT03883711) with stable or falling pre-procedural cardiac troponin levels were analyzed. The optimal glucometabolic predictor of type 4a MI among ABG, HbA1c and SHR was identified using receiver operating characteristic analysis. The best cut-off for each parameter was derived using Youden's index. Regression analysis and Kaplan-Meier curves were performed to identify independent predictors of type 4a MI and their prognostic implications.</p><p><strong>Results: </strong>The study population included 1005 patients (mean age 70.3 ± 12.5 years, 25.5% females), with 45.9% having diabetes mellitus. SHR showed a significantly higher accuracy (AUC 0.69, 95% CI 0.65-0.73) in predicting type 4a MI compared with ABG and HbA1c (p < 0.001), with an optimal cut-off of 1.14, consistent across diabetic and non-diabetic patients. SHR > 1.14 was independently associated with type 4a MI (aOR = 2.73; 95% CI 1.70-4.42; p < 0.001), unlike ABG and HbA1c, and was also linked to an increased risk of long-term major adverse cardiovascular events (p < 0.001).</p><p><strong>Conclusions: </strong>SHR emerged as a strong predictor of type 4a MI in NSTEMI patients undergoing PCI, outperforming other glucometabolic markers.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"394"},"PeriodicalIF":10.6000,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12514836/pdf/","citationCount":"0","resultStr":"{\"title\":\"Impact of glucometabolic status on type 4a myocardial infarction in patients with non-ST-segment elevation myocardial infarction: the role of stress hyperglycemia ratio.\",\"authors\":\"Matteo Armillotta, Luca Bergamaschi, Francesco Angeli, Marta Belmonte, Marcello Casuso Alvarez, Angelo Sansonetti, Damiano Fedele, Sara Amicone, Lisa Canton, Davide Bertolini, Andrea Impellizzeri, Francesca Bodega, Nicole Suma, Francesco Pio Tattilo, Daniele Cavallo, Ornella Di Iuorio, Khrystyna Ryabenko, Andrea Rinaldi, Francesco Saia, Gianni Casella, Jacopo Lenzi, Paola Rucci, Pasquale Paolisso, Carmine Pizzi\",\"doi\":\"10.1186/s12933-025-02837-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Type 4a myocardial infarction (MI) is a relevant complication in non-ST-segment elevation myocardial infarction (NSTEMI) patients undergoing percutaneous coronary intervention (PCI). 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引用次数: 0
摘要
背景:4a型心肌梗死(MI)是接受经皮冠状动脉介入治疗(PCI)的非st段抬高型心肌梗死(NSTEMI)患者的相关并发症。虽然糖代谢状态与慢性冠状动脉综合征的4a型心肌梗死有关,但缺乏急性情况下的数据。本研究旨在评估接受PCI治疗的NSTEMI患者入院时血糖(ABG)、糖化血红蛋白(HbA1c)和应激性高血糖比(SHR)与4a型心肌梗死的相关性,并评估其独立预测作用。方法:对AMIPE多中心前瞻性登记(NCT03883711)中连续接受PCI治疗且术前心肌肌钙蛋白水平稳定或下降的NSTEMI患者进行分析。通过受试者工作特征分析,确定ABG、HbA1c和SHR中4a型心肌梗死的最佳糖代谢预测因子。使用约登指数得出每个参数的最佳截止值。采用回归分析和Kaplan-Meier曲线确定4a型心肌梗死的独立预测因素及其预后意义。结果:1005例患者(平均年龄70.3±12.5岁,女性25.5%),其中45.9%患有糖尿病。与ABG和HbA1c相比,SHR在预测4a型心肌梗死方面显示出更高的准确性(AUC 0.69, 95% CI 0.65-0.73) (p1.14与4a型心肌梗死独立相关(aOR = 2.73; 95% CI 1.70-4.42; p)。结论:SHR是接受PCI治疗的NSTEMI患者4a型心肌梗死的一个强有力的预测指标,优于其他糖代谢标志物。
Impact of glucometabolic status on type 4a myocardial infarction in patients with non-ST-segment elevation myocardial infarction: the role of stress hyperglycemia ratio.
Background: Type 4a myocardial infarction (MI) is a relevant complication in non-ST-segment elevation myocardial infarction (NSTEMI) patients undergoing percutaneous coronary intervention (PCI). While glucometabolic status has been linked to type 4a MI in chronic coronary syndromes, data in the acute setting are lacking. This study aimed to assess the association of glucometabolic parameters-admission blood glucose (ABG), glycated hemoglobin (HbA1c) and stress hyperglycemia ratio (SHR)-with type 4a MI in NSTEMI patients undergoing PCI and evaluate their independent predictive role.
Methods: Consecutive NSTEMI patients undergoing PCI from the AMIPE multicenter prospective registry (NCT03883711) with stable or falling pre-procedural cardiac troponin levels were analyzed. The optimal glucometabolic predictor of type 4a MI among ABG, HbA1c and SHR was identified using receiver operating characteristic analysis. The best cut-off for each parameter was derived using Youden's index. Regression analysis and Kaplan-Meier curves were performed to identify independent predictors of type 4a MI and their prognostic implications.
Results: The study population included 1005 patients (mean age 70.3 ± 12.5 years, 25.5% females), with 45.9% having diabetes mellitus. SHR showed a significantly higher accuracy (AUC 0.69, 95% CI 0.65-0.73) in predicting type 4a MI compared with ABG and HbA1c (p < 0.001), with an optimal cut-off of 1.14, consistent across diabetic and non-diabetic patients. SHR > 1.14 was independently associated with type 4a MI (aOR = 2.73; 95% CI 1.70-4.42; p < 0.001), unlike ABG and HbA1c, and was also linked to an increased risk of long-term major adverse cardiovascular events (p < 0.001).
Conclusions: SHR emerged as a strong predictor of type 4a MI in NSTEMI patients undergoing PCI, outperforming other glucometabolic markers.
期刊介绍:
Cardiovascular Diabetology is a journal that welcomes manuscripts exploring various aspects of the relationship between diabetes, cardiovascular health, and the metabolic syndrome. We invite submissions related to clinical studies, genetic investigations, experimental research, pharmacological studies, epidemiological analyses, and molecular biology research in this field.