Reduced Heart Rate Variability Correlates With Anaemia and Impaired Quality of Life in Patients With Chronic Compensated Heart Failure

Purpose: Resting heart rate (HR), health related quality of life (HQoL) and NYHA functional capacity are referred as important determinants of prognosis and targets of therapy in heart failure (HF). REALITY HF (Resting Heart Rate and Real Life Treatment Modality in Outpatients with Left Ventricular Systolic Dysfunction) study data were analyzed for the evaluation of any relationship of resting HR with HQoL assessed by Kansas City Cardiomyopathy Questionnaire (KCCQ) and NYHA functional class. Methods: REALITY HF was a multicenter, prospective registry designed to evaluate HF patients’ characteristics and effects of treatment modalities on resting HR and enrolled 1057 patients (age 61±12 years) with LVEF <40%. 781 (74%) patients in sinus rhythm were included in this analysis. Patients were classified into 4 groups according to the quartiles of HR: Q1:<68 bpm (n=234), Q2:69-75 bpm (n=189), Q3:76-87 bpm (n=194) and Q4:>87 bpm (n=164). KCCQ was completed in a random sample of 320 (Q1:n=27, Q2:n=99, Q3:n=125, Q4:n=69) patients, in which higher scores show better patient’s health status. Results: During enrollment, 82% of patients were receiving ≥2 drugs including ACE[[Unable to Display Character: İ]]/ARB, beta blocker, aldosterone blocker, diuretic or digoxin. Resting HR was 76±14 bpm and 68% of patients had a resting HR ≥70 bpm. KCCQ overall summary score (OSC) was found to be 75.7±13.2 in those in Q1, 65.5±20.8 in Q2, 64.4±20.6 in Q3 and 58.3±21.2 in Q4 (p=0.004) and KCCQ clinical summary score (CSS) was 80.4±15.7 in those in Q1, 70.0±22.4 in Q2, 69.9±21.9 in Q3 and 63.8±23.3 in Q4 (p=0.016). Also, there was a significant negative correlation between resting HR and OSC (p=0.008) or CSS (p=0.031). The distribution of NYHA-I patients for Q1, Q2, Q3 and Q4 were 40.7%, 22.8%, 23.8% and 12.7%, NYHA-II patients-30.8%, 23.1%, 27.2% and 18.9%, NYHA-III patients-21.2%, 23.9%, 24.3% and 30.6% and NYHA-IV patients-22.7%, 34.1%, 22.7% and 20.5%, respectively (p<0.001). Also, resting HR were found to gradually and significantly increase across NYHA categories (72.8±12 bpm in NYHA-I, 76.1±13 bpm in NYHA-II, 80.2±15 bpm in NYHA-III and 78.9±16 bpm in NYHA-IV, p<0.001). Conclusions: These results suggest that elevated resting HR in HF patients is associated with impaired HQoL and worse NYHA functional capacity.

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Mind–body interactive qigong improves physical and mental aspects of quality of life in inpatients with stroke: A randomized control study

European Journal of Cardiovascular Nursing ◽

10.1177/1474515119860232 ◽

2019 ◽

Vol 18 (8) ◽

pp. 658-666 ◽

Cited By ~ 7

Author(s):

Ching-Hsiang Chen ◽

Kuo-Sheng Hung ◽

Yu-Chu Chung ◽

Mei-Ling Yeh

Keyword(s):

Quality Of Life ◽

Heart Rate ◽

Heart Rate Variability ◽

High Frequency ◽

Standard Care ◽

Low Frequency ◽

Control Group ◽

Subacute Stroke ◽

Interactive Exercise

Background: Stroke, a medical condition that causes physical disability and mental health problems, impacts negatively on quality of life. Post-stroke rehabilitation is critical to restoring quality of life in these patients. Objectives: This study was designed to evaluate the effect of a mind–body interactive qigong intervention on the physical and mental aspects of quality of life, considering bio-physiological and mental covariates in subacute stroke inpatients. Methods: A randomized controlled trial with repeated measures design was used. A total of 68 participants were recruited from the medical and rehabilitation wards at a teaching hospital in northern Taiwan and then randomly assigned either to the Chan-Chuang qigong group, which received standard care plus a 10-day mind–body interactive exercise program, or to the control group, which received standard care only. Data were collected using the National Institutes of Health Stroke Scale, Hospital Anxiety and Depression Scale, Short Form-12, stroke-related neurologic deficit, muscular strength, heart rate variability and fatigue at three time points: pre-intervention, halfway through the intervention (day 5) and on the final day of the intervention (day 10). Results: The results of the mixed-effect model analysis showed that the qigong group had a significantly higher quality of life score at day 10 ( p<0.05) than the control group. Among the covariates, neurologic deficit ( p=0.04), muscle strength ( p=0.04), low frequency to high frequency ratio ( p=0.02) and anxiety ( p=0.04) were significantly associated with changes in quality of life. Conversely, heart rate, heart rate variability (standard deviation of normal-to-normal intervals, low frequency and high frequency), fatigue and depression were not significantly associated with change in quality of life ( p >0.05). Conclusions: This study supports the potential benefits of a 10-day mind–body interactive exercise (Chan-Chuang qigong) program for subacute stroke inpatients and provides information that may be useful in planning adjunctive rehabilitative care for stroke inpatients.

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