{"title":"甘油三酯-葡萄糖指数对并发代谢综合征的急性 ST 段抬高型心肌梗死患者经皮冠状动脉介入治疗后无回流现象的预测价值。","authors":"Zhi Qu, Xiaohua Guan","doi":"10.62347/HQVS4428","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Acute ST-segment elevation myocardial infarction (STEMI) remains a major contributor to morbidity and mortality worldwide. The no-reflow phenomenon following percutaneous coronary intervention (PCI) complicates the clinical outcome of STEMI. This study aimed to identify a valuable predictor for no-reflow phenomenon.</p><p><strong>Methods: </strong>This retrospective study analyzed clinical data from 378 STEMI patients with metabolic syndrome who underwent PCI between January 2023 and December 2023. Patients were divided into normal reflow (n = 311) and no-reflow (n = 67) groups based on post-PCI coronary angiography results. Data collected included patient demographics, medication usage, lipid profiles, cardiac biomarkers, and the triglyceride-glucose (TyG) index.</p><p><strong>Results: </strong>Patients in the no-reflow group were older (59.98 ± 3.45 vs. 58.69 ± 3.57 years, P = 0.007), with higher fasting glucose (118.57 ± 7.23 vs. 113.59 ± 7.62 mg/dL, P < 0.001) and triglycerides (185.36 ± 10.17 vs. 176.56 ± 10.38 mg/dL, P < 0.001). The TyG index was notably higher in the no-reflow group (8.97 ± 1.15 vs. 7.49 ± 1.17, P < 0.001), showing the strongest correlation with no-reflow (r = 0.420, P < 0.001). Receiver Operating Characteristic (ROC) analysis identified the TyG index as the best predictor, with an AUC of 0.818 at a threshold of 8.1. Multivariable logistic regression identified TyG index ≥ 8.1 as the strongest independent predictor of no-reflow (OR, 9.591; 95% CI, 4.469-20.587, P < 0.001). The AUC of the TyG for predicting no-reflow was 0.869, with specificity and sensitivity of 0.891 and 0.791, respectively.</p><p><strong>Conclusion: </strong>The TyG index is a powerful predictor of the no-reflow phenomenon in STEMI patients with metabolic syndrome undergoing PCI. Its robust sensitivity and specificity underscore its utility for risk stratification, enabling clinicians to identify high-risk patients and tailor preventive strategies.</p>","PeriodicalId":7731,"journal":{"name":"American journal of translational research","volume":"16 10","pages":"5539-5551"},"PeriodicalIF":1.7000,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11558368/pdf/","citationCount":"0","resultStr":"{\"title\":\"Predictive value of the triglyceride-glucose index for no-reflow phenomenon after percutaneous coronary intervention in patients with acute ST-segment elevation myocardial infarction complicated by metabolic syndrome.\",\"authors\":\"Zhi Qu, Xiaohua Guan\",\"doi\":\"10.62347/HQVS4428\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Acute ST-segment elevation myocardial infarction (STEMI) remains a major contributor to morbidity and mortality worldwide. The no-reflow phenomenon following percutaneous coronary intervention (PCI) complicates the clinical outcome of STEMI. This study aimed to identify a valuable predictor for no-reflow phenomenon.</p><p><strong>Methods: </strong>This retrospective study analyzed clinical data from 378 STEMI patients with metabolic syndrome who underwent PCI between January 2023 and December 2023. Patients were divided into normal reflow (n = 311) and no-reflow (n = 67) groups based on post-PCI coronary angiography results. Data collected included patient demographics, medication usage, lipid profiles, cardiac biomarkers, and the triglyceride-glucose (TyG) index.</p><p><strong>Results: </strong>Patients in the no-reflow group were older (59.98 ± 3.45 vs. 58.69 ± 3.57 years, P = 0.007), with higher fasting glucose (118.57 ± 7.23 vs. 113.59 ± 7.62 mg/dL, P < 0.001) and triglycerides (185.36 ± 10.17 vs. 176.56 ± 10.38 mg/dL, P < 0.001). The TyG index was notably higher in the no-reflow group (8.97 ± 1.15 vs. 7.49 ± 1.17, P < 0.001), showing the strongest correlation with no-reflow (r = 0.420, P < 0.001). Receiver Operating Characteristic (ROC) analysis identified the TyG index as the best predictor, with an AUC of 0.818 at a threshold of 8.1. Multivariable logistic regression identified TyG index ≥ 8.1 as the strongest independent predictor of no-reflow (OR, 9.591; 95% CI, 4.469-20.587, P < 0.001). The AUC of the TyG for predicting no-reflow was 0.869, with specificity and sensitivity of 0.891 and 0.791, respectively.</p><p><strong>Conclusion: </strong>The TyG index is a powerful predictor of the no-reflow phenomenon in STEMI patients with metabolic syndrome undergoing PCI. Its robust sensitivity and specificity underscore its utility for risk stratification, enabling clinicians to identify high-risk patients and tailor preventive strategies.</p>\",\"PeriodicalId\":7731,\"journal\":{\"name\":\"American journal of translational research\",\"volume\":\"16 10\",\"pages\":\"5539-5551\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11558368/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of translational research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.62347/HQVS4428\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of translational research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.62347/HQVS4428","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Predictive value of the triglyceride-glucose index for no-reflow phenomenon after percutaneous coronary intervention in patients with acute ST-segment elevation myocardial infarction complicated by metabolic syndrome.
Objective: Acute ST-segment elevation myocardial infarction (STEMI) remains a major contributor to morbidity and mortality worldwide. The no-reflow phenomenon following percutaneous coronary intervention (PCI) complicates the clinical outcome of STEMI. This study aimed to identify a valuable predictor for no-reflow phenomenon.
Methods: This retrospective study analyzed clinical data from 378 STEMI patients with metabolic syndrome who underwent PCI between January 2023 and December 2023. Patients were divided into normal reflow (n = 311) and no-reflow (n = 67) groups based on post-PCI coronary angiography results. Data collected included patient demographics, medication usage, lipid profiles, cardiac biomarkers, and the triglyceride-glucose (TyG) index.
Results: Patients in the no-reflow group were older (59.98 ± 3.45 vs. 58.69 ± 3.57 years, P = 0.007), with higher fasting glucose (118.57 ± 7.23 vs. 113.59 ± 7.62 mg/dL, P < 0.001) and triglycerides (185.36 ± 10.17 vs. 176.56 ± 10.38 mg/dL, P < 0.001). The TyG index was notably higher in the no-reflow group (8.97 ± 1.15 vs. 7.49 ± 1.17, P < 0.001), showing the strongest correlation with no-reflow (r = 0.420, P < 0.001). Receiver Operating Characteristic (ROC) analysis identified the TyG index as the best predictor, with an AUC of 0.818 at a threshold of 8.1. Multivariable logistic regression identified TyG index ≥ 8.1 as the strongest independent predictor of no-reflow (OR, 9.591; 95% CI, 4.469-20.587, P < 0.001). The AUC of the TyG for predicting no-reflow was 0.869, with specificity and sensitivity of 0.891 and 0.791, respectively.
Conclusion: The TyG index is a powerful predictor of the no-reflow phenomenon in STEMI patients with metabolic syndrome undergoing PCI. Its robust sensitivity and specificity underscore its utility for risk stratification, enabling clinicians to identify high-risk patients and tailor preventive strategies.
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