2019
DOI: 10.1016/j.resp.2019.103264
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Heart rate variability and heart rate recovery in lung cancer survivors eligible for long-term cure

Abstract: A B S T R A C TLung cancer survivors are at risk for physical fitness and autonomic function impairments. In a cross-sectional study of consecutive lung cancer survivors post-curative intent therapy, we assessed and identified predictors of resting heart rate variability (HRV) and heart rate recovery (HRR), defined as standard deviation of normal-tonormal-R-to-R intervals (SDNN) and root-mean-square-of-successive-differences (rMSSD) from routine outpatient single 10-s electrocardiographs (ECGs) and difference … Show more

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Cited by 9 publications
(5 citation statements)
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References 54 publications
(76 reference statements)
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“…Vigo et al (2015) [ 18 ] confirmed the need to investigate the relationship between physical exercise and ANS to define personalized programs of secondary preventions for this population. In this sense, a previous study [ 60 ] analyzed lung cancer survivors and found no correlations between SDNN, RMSSD, and the “6MWT”. In the present study, we found no correlations for any HRV parameters with the “6MWT”.…”
Section: Discussionmentioning
confidence: 88%
“…Vigo et al (2015) [ 18 ] confirmed the need to investigate the relationship between physical exercise and ANS to define personalized programs of secondary preventions for this population. In this sense, a previous study [ 60 ] analyzed lung cancer survivors and found no correlations between SDNN, RMSSD, and the “6MWT”. In the present study, we found no correlations for any HRV parameters with the “6MWT”.…”
Section: Discussionmentioning
confidence: 88%
“…Modern BioMeTs contain additional information that can help to correct for this. For example, resting heart rate, heart rate response to activity increases or decreases, respiratory variation as a function of heart rate and activity, and other physiologic data are related to physical function, 43,44 are obtainable from BioMeTs, 45 and could be included within a BioMeTderived physical function measure. Furthermore, other types of clinical outcomes assessments may also provide nonoverlapping data to give additional precision around physical function assessment, such as self-reported physical function (e.g., PROMIS 46,47 ), or the results of periodic standardized physical assessments, such as a 6-minute walk test 48 or short physical performance battery.…”
Section: Measuring Physical Function With Biometsmentioning
confidence: 99%
“…[ 14 16 ] Heart rate variability (HRV) is another marker of cardiac autonomic system function and is evaluated by electrocardiography monitoring. Although the association between HRR and HRV has been presented in some studies, this association is not strong [ 17 , 18 ], which may suggest different aspects of cardiac autonomic system function assessed by these markers. [ 19 ] HRV is associated with LA phasic functions in patients with hypertension and diabetes.…”
Section: Introductionmentioning
confidence: 99%