HRV Heart Rate Variability Dynamics

Heart Rate Variability dynamics is a widely studied non-invasive biomarker.  HRV is generally analyzed as the R-R interval.

Applications, RCTs and clinical studies include:

  • 24 hour prognostic window for earlier detection of infection/sepsis risk in neonatal ICUs.  Mortality reductions up to 20%, and reduced and improved use of antibiotics in about thirty NICUs in US and Europe. Validated by RCT involving 3000 infants.Karen D. Fairchild, MD, T. Michael O’Shea, MD (2010) Heart Rate Characteristics: Physiomarkers for Detection of Late-Onset Neonatal Sepsis, download free at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2933427/
  • Clinical retrospective study of ambulatory post-Bone Marrow Transplant patients in Canada.  A 25% decline from HRV baseline provided an average of 64 hours prognostic notice of infection/sepsis, taken as time of administration of antibiotics. Ahmad, 2009.
  • Clinical study: progression to septic shock in ED patients.Chen WL and Kuo CD (2007) Characteristics of heart rate variability can predict impending septic shock in emergency department patients with sepsis. Academic Emergency Medicine. 2007 May;14 (5):392-7. Epub 2007 Mar 26.
  • Pulmonary infections post cardiac surgeryCorrêa, Paulo Roggerio et al. (2010) Heart Rate Variability and Pulmonary Infections after Myocardial Revascularization, Arq Bras Cardiol 2010; 95(4): p448-456.
  • As integrated biomarker – HRV and poly-trauma and PTSD in soldiers -Tan (2009) Associations among Pain, PTSD, mTBI, and Heart Rate Variability in Veterans of Operation Enduring and Iraqi Freedom: A Pilot Study, PAIN MEDICINE Vol 10, Number 7.

 

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Author: Caldwell Palmer Research

My applied research work currently combines complexity sciences with commensurable dynamic views and measures of human body and mind from the theoretical perspective of integrated and coherent variability as health and its impairment or loss as disease and illness. These evidence-based concepts are used for the design and implementation of applied research projects for clinical care improvement. For example, I have a multi-year program underway to develop and validate prognostic biomarkers for COPD exacerbations. I also teach and apply my narrative concordance model for improving interpersonal healthcare interactions to better understand patient adherence and its increase. Narrative concordance also is applicable to care team coordination and care continuity. Future applied projects will concern and include how economic aspects intertwine with healthcare/medical issues by using, as does my current work, my human ontology construct of the Processual Interdependent Phenotype. My basic research focuses on developing my human ontology theory and its construct, the Processual Interdependent Phenotype; the associated evidence base; the empirical scaffolding; and networking with other commensurable theories. My doctoral research degree is in complex responsive processes taught as a highly integrated, radically social/personal psychology. Complex responsive processes is a particular one of multiple fields of complexity sciences. The Complexity and Management doctoral programme is taught at the University of Hertfordshire. I have worked in healthcare for fifteen years. My education was originally as an Economist at the University of Chicago and Texas Christian University.

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