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Heart rate variability and its correlation with pulmonary function test of smokers
Joshil Kumar Behera1, Sushma Sood, Naresh Kumar
1Department of Physiology, Post Graduate Institute of Medical Sciences, Haryana, India.
Chronic smoking impacts pulmonary function tests (PFT) and heart rate variability (HRV). This study found correlations between PFT metrics like FEV1 and HRV parameters, suggesting HRV could aid in predicting cardiac risks in smokers.
Area of Science:
- Cardiology
- Pulmonology
- Physiology
Background:
- Chronic smoking adversely affects pulmonary function tests (PFT) and heart rate variability (HRV).
- Previous research has not established a direct correlation between PFT and HRV parameters in smokers.
Purpose of the Study:
- To investigate the potential correlation between PFT and HRV in chronic smokers.
- To determine if PFT and HRV parameters are linked in individuals with a history of heavy smoking.
Main Methods:
- A comparative study involving 30 chronic male smokers (≥10 pack-years) and 30 healthy non-smoking males, matched for anthropometric data.
- Pulmonary function tests (PFT) and heart rate variability (HRV) assessments were conducted.
- Spearman's correlation and multiple stepwise regression analyses were employed to derive statistical correlations.
Main Results:
- Significant correlations were observed between high-frequency (HF) and low-frequency (LF) HRV components and PFT parameters, specifically forced expiratory volume in 1 second (FEV1) and peak expiratory flow rate (PEFR).
- FEV1/FVC ratio demonstrated a statistically significant regression coefficient with HF (R=0.425).
Conclusions:
- Smoking negatively impacts both PFT and HRV parameters.
- The identified correlations between PFT (PEFR, FEV1) and HRV (LF, HF) can potentially predict cardiac morbidity in chronic smokers.
- Routine inclusion of HRV alongside PFT in chronic smokers may facilitate early detection of cardiac involvement.
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