QIU Jie, WANG Ru-zhu, WANG Jian, SONG Gui-xian. Analysis of relationship between hemoglobin glycation index and in-stent restenosis in patients with type 2 diabetes mellitus[J]. Chinese Heart Journal, 2023, 35(6): 648-651, 660. DOI: 10.12125/j.chj.202305017
    Citation: QIU Jie, WANG Ru-zhu, WANG Jian, SONG Gui-xian. Analysis of relationship between hemoglobin glycation index and in-stent restenosis in patients with type 2 diabetes mellitus[J]. Chinese Heart Journal, 2023, 35(6): 648-651, 660. DOI: 10.12125/j.chj.202305017

    Analysis of relationship between hemoglobin glycation index and in-stent restenosis in patients with type 2 diabetes mellitus

    • AIM To investigate the relationship between hemoglobin glycation index (HGI) and in-stent restenosis (ISR) after percutaneous coronary intervention (PCI) in patients with type 2 diabetes mellitus.
      METHODS A retrospective analysis was performed on 134 patients with T2DM who underwent PCI in the Department of Cardiovascular Medicine, Taizhou People’s Hospital from October 2019 to October 2022 and who underwent coronary angiography 8~24 months after surgery due to recurrence of chest pain or by doctor’s advice. The patients were divided into two groups according to the examination results of angiography: ISR group (40 cases) and NISR group (94 cases). The differences of basic data, laboratory examinations, medication and interventional therapy between the two groups were analyzed. Multivariate logistic regression was used to analyze the influencing factors of ISR in patients with type 2 diabetes mellitus and receiver operating characteristic curve (ROC) was used to analyze the efficacy of HGI in predicting ISR in patients with type 2 diabetes.
      RESULTS The age, residual lipoprotein, glycosylated hemoglobin (HbA1c), HGI, Gensini score and total length of stent in ISR group were higher than those in NISR group, and the mean stent diameter was lower than that in NISR group, with statistical significance (P<0.05, P<0.01). Logistic regression analysis showed that HGI was an independent risk factor for ISR in patients with type 2 diabetes mellitus (OR=2.534, 95%CI: 1.023~6.281, P<0.05). ROC curve showed that the area under the curve of predicting ISR of patients with type 2 diabetes mellitus by HGI was 0.777. When HGI was 0.309, the predictive sensitivity was 72.5% and the specificity was 77.7%.
      CONCLUSION HGI is independently associated with the risk of ISR in patients with type 2 diabetes mellitus and HGI can be used as a clinical indicator to predict ISR in patients with type 2 diabetes mellitus.
    • loading

    Catalog

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return