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Low Heart Rate Variability Predicts Poor Overall Survival of Lung Cancer Patients With Brain Metastases

Authors :
Shuang Wu
Guangqiao Li
Weizheng Guan
Huan Zhao
Jingfeng Wang
Yongchun Zhou
Yufu Zhou
Bo Shi
Source :
Frontiers in Neuroscience, Vol 16 (2022)
Publication Year :
2022
Publisher :
Frontiers Media S.A., 2022.

Abstract

BackgroundThe aim of this prospective study was to evaluate the association between heart rate variability (HRV) and overall survival of lung cancer patients with brain metastases (LCBM).MethodsFifty-six LCBM patients were enrolled in this study. Five-minute electrocardiograms were collected before the time to first brain radiotherapy. HRV was analyzed quantitatively by using the time domain parameters, i.e., the standard deviation of all normal-normal intervals (SDNN) and the root mean square of successive differences (RMSSD). Survival time for LCBM patients was defined as from the date of HRV testing to the date of death or the last follow-up.ResultsIn the univariate analysis, SDNN ≤ 13 ms (P = 0.003) and RMSSD ≤ 4.8 ms (P = 0.014) significantly predicted poor survival. Multivariate analysis confirmed that RMSSD ≤ 4.8 ms (P = 0.013, hazard ratio = 3.457, 95% confidence interval = 1.303–9.171) was also an independent negative prognostic factor after adjusting for mean heart rate, Karnofsky performance status, and number of brain metastases in LCBM patients.ConclusionDecreased RMSSD is independently associated with shorter survival time in LCBM patients. HRV might be a novel predictive biomarker for LCBM prognosis.

Details

Language :
English
ISSN :
1662453X
Volume :
16
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.7d526ef8ce2472daf6b2abb25e0a731
Document Type :
article
Full Text :
https://doi.org/10.3389/fnins.2022.839874