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Though many studies have been conducted on the effect of chronic smoking on pulmonary function test (PFT) and heart rate variability (HRV), no study has found a correlation between the pulmonary function test and heart rate variability parameters so far.The aim was to study if there was a correlation, if any, between PFT and HRV.Thirty male subjects who were chronic smokers of at least 10 pack years and another 30 nonsmoking healthy males were included in the study and were matched for age, height, weight, and body surface area.PFT and HRV were performed on these subjects and a correlation was statistically derived.Spearman's correlation coefficient was used for the analysis of HRV and PFT. Multiple stepwise regression analysis was used subsequently.HF and LF showed correlation coefficients of 0.378 and-0.383 with forced expiratory volume in the first second (FEV 1) and peak expiratory flow rate (PEFR), respectively. It was found that only FEV 1/FVC was having a statistically significant regression coefficient with HF the R-value was found to be 0.425 while with other parameters, it was not significant.We conclude that smoking affects all the parameters of PFT and HRV. Since there is a correlation between PFT parameters (PEFR and FEV1) and HRV parameter (LF and HF), this can help us in predicting cardiac morbidity in chronic smokers. So HRV should be included as a routine test along with PFT in chronic smokers for early diagnosis of cardiac involvement.

作者:Joshil Kumar, Behera;Sushma, Sood;Naresh, Kumar;Kirti, Sharma;Reshmi, Mishra;Prasanta Saha, Roy

来源:Heart views : the official journal of the Gulf Heart Association 2013 年 14卷 1期

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作者:
Joshil Kumar, Behera;Sushma, Sood;Naresh, Kumar;Kirti, Sharma;Reshmi, Mishra;Prasanta Saha, Roy
来源:
Heart views : the official journal of the Gulf Heart Association 2013 年 14卷 1期
标签:
Heart rate variability parasympathetic pulmonary function test smoking
Though many studies have been conducted on the effect of chronic smoking on pulmonary function test (PFT) and heart rate variability (HRV), no study has found a correlation between the pulmonary function test and heart rate variability parameters so far.The aim was to study if there was a correlation, if any, between PFT and HRV.Thirty male subjects who were chronic smokers of at least 10 pack years and another 30 nonsmoking healthy males were included in the study and were matched for age, height, weight, and body surface area.PFT and HRV were performed on these subjects and a correlation was statistically derived.Spearman's correlation coefficient was used for the analysis of HRV and PFT. Multiple stepwise regression analysis was used subsequently.HF and LF showed correlation coefficients of 0.378 and-0.383 with forced expiratory volume in the first second (FEV 1) and peak expiratory flow rate (PEFR), respectively. It was found that only FEV 1/FVC was having a statistically significant regression coefficient with HF the R-value was found to be 0.425 while with other parameters, it was not significant.We conclude that smoking affects all the parameters of PFT and HRV. Since there is a correlation between PFT parameters (PEFR and FEV1) and HRV parameter (LF and HF), this can help us in predicting cardiac morbidity in chronic smokers. So HRV should be included as a routine test along with PFT in chronic smokers for early diagnosis of cardiac involvement.