| Literature DB >> 28484119 |
Keiichi Tsuchida1, Norihito Nakamura1, Satoshi Soda2, Ryohei Sakai1, Kota Nishida1, Jiro Hiroki1, Asami Kashiwa1, Yuki Fujihara1, Shinpei Kimura1, Yukio Hosaka1, Kazuyoshi Takahashi1, Hirotaka Oda1.
Abstract
This study was conducted to assess whether any relationships exist between glucose fluctuations and electrocardiographic surrogate markers of reperfusion injury in patients with ST-elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PCI).We prospectively studied 63 consecutive patients with STEMI undergoing primary PCI. Patients had either diabetes (n = 30), impaired glucose tolerance (n = 26), impaired fasting glucose (n = 1), or normal glucose tolerance (n = 6). STsegment resolution (STR, %) was measured using electrocardiograms recorded 60 minutes after PCI. STR was categorized as ≥ 30% and < 30%. Glucose fluctuations were assessed by the following parameters obtained from a continuous glucose monitoring system: mean amplitude of glucose excursion (MAGE, mg/dL); and area under curve with reference to mean blood glucose (AUCMBG, mg/ dL/day).Both MAGE and AUCMBG were significantly higher in STR < 30%. In univariate analysis, MAGE ≥ 70 mg/dL (OR = 17.0; 95%CI, 1.93-150.12; P < 0.01), AUCMBG ≥ 20 mg/dL/day (OR = 10.9; 95%CI, 1.92-61.77; P < 0.01), and reperfusion arrhythmias (OR = 7.6; 95%CI, 1.32-44.29; P < 0.05) were significantly associated with suboptimal STR. Multiple logistic regression analysis showed only MAGE ≥ 70 mg/dL was predictive of suboptimal STR (OR = 22.5; 95%CI, 2.43-208.66, P < 0.01).Parameters of glucose fluctuations correlated with electrocardiographic surrogate markers of impaired myocardial salvage in STEMI after reperfusion therapy. Our results suggest that glucose fluctuations may represent a potential therapeutic target to reduce myocardial reperfusion injury in STEMI.Entities:
Keywords: Reperfusion injury; STEMI
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Year: 2017 PMID: 28484119 DOI: 10.1536/ihj.16-250
Source DB: PubMed Journal: Int Heart J ISSN: 1349-2365 Impact factor: 1.862