scholarly journals Effect of Exercise Training on Heart Rate Variability in Patients with Heart Failure After Percutaneous Coronary Intervention

Author(s):  
S Abolahrari-Shirazi ◽  
J Kojuri ◽  
Z Bagheri ◽  
Z Rojhani-Shirazi

Background: This study aims to evaluate the effect of exercise training on heart rate variability (HRV) and to determine the correlation between parameters of HRV and the ejection fraction in patients with heart failure after percutaneous coronary intervention.Material and Methods: Fifty patients with left ventricular ejection fraction ≤ 40% undergone percutaneous coronary intervention were randomly allocated in either an exercise training (ET) group or a control group. The ET group performed exercise training for 45 minutes, three times a week for seven weeks. Patients in both groups received a leaflet for daily exercising at home. HRV parameters comprising, the standard deviation of normal R-R intervals (SDNN), the square root of the mean of the squares of successive R-R intervals differences (RMSSD) ,the percentage of successive R-R intervals differing from more than 50 ms (PNN50), using 24-hour Holter electrocardiographic monitoring was measured.Results: After the intervention, the SDNN improved in the ET group (P=0.002), while changes in all remaining HRV indices were insignificant (P≥0.05). The control group showed no significant changes in any HRV parameters (P≥0.05). Changes in SDNN in the ET group were significantly different from the control group (P=0.003). At baseline, our results revealed a significant weak correlation between ejection fraction and SDNN (r =0.279, P=0.047). However, ejection fraction did not correlate significantly with RMSSD and PNN50.Conclusion: Exercise training is safe and feasible in post percutaneous coronary intervention patients, even in those with reduced ejection fraction. In a seven-week period, exercise training was effective in improving HRV in heart failure patients after percutaneous coronary intervention.

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C He ◽  
K Lin ◽  
H Chen ◽  
H He ◽  
J Yang ◽  
...  

Abstract   Predictive value of plasma volume status for contrast-induced nephropathy in patients with heart failure undergoing elective percutaneous coronary intervention. Objective Contrast-induced nephropathy (CIN) remains a common complication of coronary procedure and increases poor outcomes, especially in patients with heart failure. Plasma volume expansion relates to worsening prognosis of heart failure. We hypothesised that calculated plasma volume status (PVS) might provide predictive utility for contrast-induced nephropathy in patients with heart failure undergoing elective percutaneous coronary intervention (PCI). Methods We enrolled 441 patients with heart failure undergoing PCI from 2012 to 2018. Pre-procedural PVS was calculated by comparing actual plasma volume (aPV) derived from the Hakim formula to ideal plasma volume (iPV). CIN was defined as an absolute SCr increase ≥0.5 mg/dl within 72h of contrast medium exposure. We assessed the association between PVS and risk of contrast-induced nephropathy in patients with heart failure undergoing elective PCI. Results In 441 patients, 28 (6.3%) patients developed CIN. The median pre-procedural PVS was −0.02 (−0.09–0.05). The best cutoff value of PVS for predicting CIN was 0.04 with 64.5% sensitivity and 75.5% specificity according to the ROC analysis (C statistic = 0.718; 95% CI: 0.674–0.760),of which predictive value is similar to NT-proBNP (C statistics 0.721 vs. 0.773, P=0.355). After adjusting for potential confounding risk factors, multivariable analysis demonstrated that PVS >0.04 (OR=3.142, 95% CI: 1.185–8.332, P<0.05) and NT-proBNP >4518pg/ml (OR=7.591, 95% CI: 2.886–19.968, P<0.05)were strong independent predictors of CIN. Conclusion Pre-procedural PVS is an independent risk factor for predicting CIN markedly, of which predictive value is comparable to BNP and also independent of BNP. The best cutoff point of PVS for predicting CIN was 0.04. ROC for PVS and NT-proBNP to predict CIN Funding Acknowledgement Type of funding source: None


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