Norms of vagal nerve activity, indexed by Heart Rate Variability, in cancer patients

Couck, Marijke; Gidron, Yori

doi:10.1016/j.canep.2013.04.016

Cited by 72 publications

(98 citation statements)

References 42 publications

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“…This is in the lower range that is reported in literature [15] and also lower than the values of patient A. Not surprisingly, the time domain metrics SDNN and RMSSD as well as pNN50 show values at the lower range that is reported in literature [15], [24]. …”

Section: Social Activitycontrasting

confidence: 40%

“…HRV analysis shows values < 2 for the LF/HF ratio which is in the lower range that is reported in literature [15]. Not surprisingly, the time domain metrics SDNN and RMSSD as well as pNN50 show values at the lower range that is reported in literature [15], [24]. Concerning vital signs, the heart rate shows peaks that are mostly connected with his physical activity, except for one at 10:15 o'clock, where his heart rate increases from below 100 to above 120 at low physical activity.…”

Section: Social Activitymentioning

confidence: 76%

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Unobstrusive mobile monitoring of well-being of ambulatory patients in palliative care: what can remote data tell us?

Pavic¹,

Kraft²,

Gückenberger³

et al. 2018

Preprint

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Background: For advanced cancer patients in palliative care, a crucial phase is the transition from palliative care in the hospital to the home setting, where 24-7 care is not guaranteed any more. To fill this gap after transition, we are evaluating the feasibility of a physical and social activity tracking system consisting of a FDA approved bracelet (Biovotion Everion MD®) collecting vital data, e.g., heart rate, oxygen saturation etc., and an Android smart-phone (Samsung Galaxy S5) collecting patients' self-reports of pain and distress as well as acceleration, GPS and phone call statistics data. When study participants are asked, how they are doing in general, a common answer is "There are good days and there are bad days." Apparently, they order their days into different groups. We argue that these "good" and "bad" days have impact on a patient's behavior and is therefore visible in the collected activity data. Objective: As a part of the study's goals, we aim to show the explanatory power of the collected data: the collected data reflect the health status of a patient. Methods: Data is collected over a study period of 12 weeks as part of a feasibility study with an explorative and descriptive study design. Study participants are enrolled from the wards of the Clinic of Radiation-Oncology at the University Hospital Zurich, including the specialized palliative care ward. The data collection chain consists of the patients' devices, Wi-Fi and internet for secured data upload and a receiving web server. The raw data is preprocessed involving resampling and basic feature extraction. Complex features are extracted using unsupervised machine learning methods, e.g., clustering. Heat maps are used to provide overview visualizations of sensor modalities. Integrated views are generated for multi-modal reconstruction and visualization of patients' daily routines. Results: Data collection started in March 2017 and already 13 study participants have finished their study participation or had to abort their participation due to health reasons. We collected more than 10000 hours of valid bracelet data and about 410000 GPS positions from the smart-phone. The cohort shows a high variability in live circumstances, e.g., some are still working, and others hardly leave their homes. We give examples of two patients with different courses of disease in order to demonstrate our approach. Conclusions: Our remote monitoring system delivers a large amount of data that allows us to reconstruct the daily routines of the patients showing differences between good and bad days.Trial Registration: The local Ethics Committee (Kantonale Ethikkommission Zürich) has approved the study protocol; approval number PB_2016-00895.

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Section: Social Activitycontrasting

confidence: 40%

Section: Social Activitymentioning

confidence: 76%

Unobstrusive mobile monitoring of well-being of ambulatory patients in palliative care: what can remote data tell us?

Pavic¹,

Kraft²,

Gückenberger³

et al. 2018

Preprint

View full text Add to dashboard Cite

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“…Vagotomy in these settings has been associated with increased rate of cancer development and mortality of gastric, colorectal, biliary tract, and lung cancer [178–181]. Lower vagal tone (based on heart rate variability analysis) is associated with higher risk of 7-day mortality in patients with advanced pancreatic and other non-lung cancers [182] and in patients with colorectal, pancreatic, prostate, lung and ovarian cancer as compared to healthy individuals [183]. In addition to a role in immune and metabolic control, reflex neuronal regulation, involving the vagus nerve, of the inflammatory tumor microenvironment has been proposed [184–186].…”

Section: Neurocircuitry and Inflammation In Obesity And Cancermentioning

confidence: 99%

Neural circuitry and immunity

2015

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Research during the last decade has significantly advanced our understanding of the molecular mechanisms at the interface between the nervous system and the immune system. Insight into bidirectional neuroimmune communication has characterized the nervous system as an important partner of the immune system in the regulation of inflammation. Neuronal pathways, including the vagus nerve-based inflammatory reflex are physiological regulators of immune function and inflammation. In parallel, neuronal function is altered in conditions characterized by immune dysregulation and inflammation. Here, we review these regulatory mechanisms and describe the neural circuitry modulating immunity. Understanding these mechanisms reveals possibilities to use targeted neuromodulation as a therapeutic approach for inflammatory and autoimmune disorders. These findings and current clinical exploration of neuromodulation in the treatment of inflammatory diseases defines the emerging field of Bioelectronic Medicine.

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“…Recently, scholars have examined how HRV affects cancer patients. Couck and Gidron and Kim et al demonstrated that cancer patients possess a relatively lower HRV compared with that of healthy people [15, 16]. Among cancer patients, advanced stage patients possess a lower HRV than do those in the early stages of cancer [15].…”

Section: Introductionmentioning

confidence: 99%

“…Couck and Gidron and Kim et al demonstrated that cancer patients possess a relatively lower HRV compared with that of healthy people [15, 16]. Among cancer patients, advanced stage patients possess a lower HRV than do those in the early stages of cancer [15]. In addition, Mouton et al showed that low level of HRV can predict subsequent cancer progression by examining the increasing tumor markers [17].…”

Section: Introductionmentioning

confidence: 99%

Heart Rate Variability Is Associated with Survival in Patients with Brain Metastasis: A Preliminary Report

Wang

Huang

et al. 2013

BioMed Research International

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Impaired heart rate variability (HRV) has been demonstrated as a negative survival prognosticator in various diseases. We conducted this prospective study to evaluate how HRV affects brain metastasis (BM) patients. Fifty-one BM patients who had not undergone previous brain operation or radiotherapy (RT) were recruited from January 2010 to July 2012, and 40 patients were included in the final analysis. A 5-minute electrocardiogram was obtained before whole brain radiotherapy. Time domain indices of HRV were compared with other clinical factors on overall survival (OS). In the univariate analysis, Karnofsky performance status (KPS) <70 (P = 0.002) and standard deviation of the normal-to-normal interval (SDNN) <10 ms (P = 0.004) significantly predict poor survival. The multivariate analysis revealed that KPS <70 and SDNN <10 ms were independent negative prognosticators for survival in BM patients with hazard ratios of 2.657 and 2.204, respectively. In conclusion, HRV is associated with survival and may be a novel prognostic factor for BM patients.

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Norms of vagal nerve activity, indexed by Heart Rate Variability, in cancer patients

Cited by 72 publications

References 42 publications

Unobstrusive mobile monitoring of well-being of ambulatory patients in palliative care: what can remote data tell us?

Unobstrusive mobile monitoring of well-being of ambulatory patients in palliative care: what can remote data tell us?

Neural circuitry and immunity

Heart Rate Variability Is Associated with Survival in Patients with Brain Metastasis: A Preliminary Report

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