Gang-yong WU, Dong-mei AN, Liang CHEN, Ting WU, Qin SHEN, Shi CHEN, Zu-fei WU, Gang-jun ZONG. Correlation and predictive value of serum parathyroid hormone levels with slow-reflow and ventricular arrhythmias during primary PCI[J]. Chinese Heart Journal, 2020, 32(4): 370-375. DOI: 10.12125/j.chj.202003045
    Citation: Gang-yong WU, Dong-mei AN, Liang CHEN, Ting WU, Qin SHEN, Shi CHEN, Zu-fei WU, Gang-jun ZONG. Correlation and predictive value of serum parathyroid hormone levels with slow-reflow and ventricular arrhythmias during primary PCI[J]. Chinese Heart Journal, 2020, 32(4): 370-375. DOI: 10.12125/j.chj.202003045

    Correlation and predictive value of serum parathyroid hormone levels with slow-reflow and ventricular arrhythmias during primary PCI

    • AIM To evaluate the association and predictive value of serum parathyroid hormone (PTH) levels with slow-reflow and peri-operative ventricular arrhythmias (VAs) in patients with acute ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PCI).
      METHODS A total of 112 consecutive patients with STEMIs treated with primary PCI were enrolled in this study. Binary logistic regression analysis model was used to analyze whether PTH levels were independently related to slow-reflow and VAs, and ROC curve was drawn to evaluate its predictive value.
      RESULTS PTH was a risk factor of slow-reflow (OR=5.768, 95%CI: 1.808-18.402, P<0.01) and medium to high risk VAs (OR=18.278, 95%CI: 4.881-68.445, P<0.01). The area under ROC curve (AUC) for predicting slow-reflow was 0.737 (95%CI: 0.634-0.841, P<0.01), the cut-off point was PTH=65.5pg/ mL, with a sensitivity of 75% and a specificity of 72%. When VAs was predicted, the AUC was 0.837 (95%CI: 0.759-0.914, P<0.01), the cut-off point was PTH=61.9pg/mL, with a sensitivity of 82% and a specificity of 73%.
      CONCLUSION Serum PTH levels are correlated with intra-operative slow-reflow and peri-operative VAs in patients with STEMI undergoing primary PCI, and has certain predictive value.
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