Mallory R. Taylor, Miranda C. Bradford, Chuan Zhou, Kaitlyn M. Fladeboe, Jorie F. Wittig, K. Scott Baker, Joyce P. Yi-Frazier, Abby R. Rosenberg
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引用次数: 0
Abstract
Introduction
Adolescents and young adults (AYAs) receiving hematopoietic cell transplantation (HCT) are at high risk for poor psychosocial outcomes. Heart rate variability (HRV), a surrogate for autonomic nervous system activity, is a promising digital biomarker that has been linked to important outcomes. The objectives of this study were to prospectively describe the trajectory of HRV among AYAs receiving HCT and explore the association between HRV and patient-reported outcomes (PROs).
Methods
This was a multi-site study embedded in a randomized trial among AYAs receiving HCT (NCT03640325). We collected sequential 24-h HRV metrics, including the standard deviation of normal-to-normal beats (SDNN), root-mean-square of successive differences (RMSSD), as well as frequency domain measures. PRO surveys queried anxiety, depression, quality of life, hope, and resilience at baseline and 3 months. We summarized outcomes using descriptive statistics, and Pearson correlation coefficients were used to examine the relationship between HRV and PROs.
Results
Thirty-nine HRV recordings were collected from n = 16 participants aged 12–21 years. There was a moderately strong correlation between inferior baseline HRV and higher anxiety and depression (anxiety: r = −0.35 (p = 0.18) for SDNN, r = −0.47 (p = 0.07) for RMSSD; depression: r = −0.26 (p = 0.34) for SDNN, r = −0.39 (p = 0.14) for RMSSD). Among participants with elevated baseline anxiety, higher HRV suggested greater improvement in anxiety over time (r = −0.66 (p = 0.08) for SDNN, r = −0.31 (p = 0.45) for RMSSD).
Conclusions
There was a correlation between HRV and PROs in this study, and among those with elevated anxiety, HRV predicted improvement over time. Digital biomarkers may augment behavioral intervention design and implementation.
期刊介绍:
Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas:
Clinical Cancer Research
Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations
Cancer Biology:
Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery.
Cancer Prevention:
Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach.
Bioinformatics:
Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers.
Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.