QT dispersion predicts mortality and correlates with both coronary artery calcification and atherosclerosis in hemodialysis patients

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• 作者：Murat Guney (1)
  Abdullah Ozkok (1)
  Yasar Caliskan (1)
  Hamdi Pusuroglu (1)
  Halil Yazici (1)
  Savas Tepe (2)
  Huseyin Oflaz (3)
  Alaattin Yildiz (1)
  
• 关键词：Hemodialysis ; Vascular calcification ; QT dispersion ; Coronary artery calcification ; Atherosclerosis ; Carotid plaque score ; Left ventricular hypertrophy ; Mortality
• 刊名：International Urology and Nephrology
• 出版年：2014
• 出版时间：March 2014
• 年：2014
• 卷：46
• 期：3
• 页码：599-605
• 全文大小：444 KB
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• 作者单位：Murat Guney (1)
  Abdullah Ozkok (1)
  Yasar Caliskan (1)
  Hamdi Pusuroglu (1)
  Halil Yazici (1)
  Savas Tepe (2)
  Huseyin Oflaz (3)
  Alaattin Yildiz (1)
  
  1. Division of Nephrology, Department of Internal Medicine, Istanbul School of Medicine, Istanbul University, Fatih, 34093, Istanbul, Turkey
  2. TEST Diagnostic Center, Fatih, Istanbul, Turkey
  3. Department of Cardiology, Istanbul Faculty of Medicine, Istanbul University, Fatih, 34093, Istanbul, Turkey
  
• ISSN：1573-2584

文摘

Purpose QT dispersion (QTd) was shown to be an independent predictor of mortality in hemodialysis (HD) patients. It may be hypothesized that coronary artery calcification is related to QTd in HD patients because widespread calcification may also involve the cardiac conducting system in these patients. In this study, we aimed to investigate the relationships of corrected QTd (QTcd) with coronary artery calcification score (CACS), carotid plaque score (CPS) and possible influence of these parameters on survival of HD patients. Methods Seventy-two HD patients (33 male, 39 female) were enrolled into the study. Mean age of the patients was 44?±?12?years. Mean follow-up duration was 77?±?24?months. CACS was determined by computed tomography. QTcd values were calculated as the difference of maximum and minimum QT intervals. Left ventricular mass index (LVMI) and CPS were measured by echocardiography. Results QTcd was significantly correlated with CACS (r?=?0.233, p?=?0.049), CPS (r?=?0.354, p?=?0.003) and LVMI (p?=?0.011, r?=?0.299). CPS was found to be significantly higher in the group with high QTcd (>60?ms) [2 (1-) versus 0 (0-), p?=?0.02]. CACS was significantly correlated with age (r?=?0.44, p?<?0.001), LVMI (r?=?0.52, p?<?0.001) and CPS (r?=?0.32, p?=?0.003). In Kaplan–Meier analysis, survival of patients with high QTcd was significantly lower than the patients with low QTcd. In Cox regression analysis for predicting mortality, age, serum albumin and QTcd were found to be the independent predictors of mortality. Conclusions QTcd independently predicted mortality, and it was significantly associated with coronary artery calcification, left ventricular hypertrophy and atherosclerosis in HD patients.