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  • 标题:The Prognostic Utility of Plasma NGAL Levels in ST Segment Elevation in Myocardial Infarction Patients
  • 本地全文:下载
  • 作者:Ahmet Avci ; Bahadir Ozturk ; Kenan Demir
  • 期刊名称:Advances in Preventive Medicine
  • 印刷版ISSN:2090-3480
  • 电子版ISSN:2090-3499
  • 出版年度:2020
  • 卷号:2020
  • 页码:1-7
  • DOI:10.1155/2020/4637043
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    Introduction . Plasma neutrophil gelatinase-associated lipocalin (NGAL) levels in acute myocardial infarction (AMI) patients are markedly higher. In addition, plasma NGAL levels were increased in patients with acute and chronic heart failure as a complication of myocardial infarction. In this study, we investigated whether there is a difference between the prognostic use of plasma NGAL levels in ST-elevation myocardial infarction (STEMI) patients with preserved and reduced left ventricular ejection fraction (LVEF). Methods . 235 consecutive STEMI patients were enrolled in the study. Patients were divided into groups according to LVEF. Plasma NGAL, troponin I, creatine kinase MB (CKMB), and C-reactive protein (CRP) were measured. Finally, the study population examined with 34 reduced LVEF and 34 preserved LVEF consisted of a total of 68 patients (12 females; mean age, 61.5 ± 14.7). All patients were followed up prospectively for 6 months. This study group was divided into two subgroups as the patients who died ( n = 14) and survived ( n = 34), and plasma NGAL levels of the groups were compared. Results . The median of NGAL was 190.08 ng/ml. Age, troponin I, CKMB, CRP, glomerular filtration rate, and creatinine were higher in reduced LVEF groups. Plasma NGAL levels were also higher in reduced LVEF than in preserved LVEF, but statistically not significant ( p = 0.07 ). Plasma NGAL levels were significantly higher in death patients than in survived patients ( p 0.001 ). In ROC curve analysis, the level to detect isolated cardiovascular mortality with a sensitivity of 86% and a specificity of 77% was 190 ng/mL for NGAL. Conclusion . Plasma NGAL levels can be used to predict cardiovascular mortality in STEMI patients.

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