Literature DB >> 19592027

Early loss of heart rate complexity predicts mortality regardless of mechanism, anatomic location, or severity of injury in 2178 trauma patients.

William P Riordan1, Patrick R Norris, Judith M Jenkins, John A Morris.   

Abstract

BACKGROUND: Reduced heart rate (HR) complexity (e.g., a lack of randomness or unpatterned variability) is an established predictor of trauma patient mortality. However, this finding has not been validated across the diverse spectrum of traumatic injury, and underlying mechanisms of this relationship are poorly understood.
MATERIALS AND METHODS: Two thousand one hundred seventy-eight trauma patients were admitted directly to the intensive care unit (ICU), and had sufficient (>6h) continuous integer heart rate data within the first d. Patients were stratified by location of isolated severe injury (head, torso, both, or neither), primary mechanism (blunt or penetrating), and probability of survival, an accepted scoring system based on age, admission vital signs, and injury type and severity. HR multiscale entropy (MSE) was calculated (sum of scales, Costa's algorithm, physionet.org, m=2, r=0.15) to estimate complexity. Univariate analysis was performed by comparing MSE between survivors and nonsurvivors in each subgroup. Multivariate analysis incorporated logistic regression to characterize the relationship between MSE and risk of death, controlling for probability of survival. The MSE odds ratios (OR) and area under the receiver operator curve (AUC) were calculated.
RESULTS: Reduced MSE was significantly associated with increasing mortality, and was independent of probability of survival in all multivariate analyses (OR 0.87-0.94). This range of odds ratios implies that a patient with an MSE of 15 has roughly a 2- to 6-fold increase in odds of death versus a patient with an MSE of 25. The relationship between MSE and death was moderately stronger in patients with isolated severe head injury versus torso injury, and significantly stronger in patients with penetrating versus blunt mechanism of injury. MSE measured early in the hospital stay remained a robust predictor of mortality in all subgroups, even stratified by narrow ranges of probability of survival.
CONCLUSIONS: Early reduction of heart rate complexity is an important risk factor across diverse injury etiology. This suggests common underlying physiologic mechanisms linking the loss of biologic complexity to death.

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Year:  2009        PMID: 19592027     DOI: 10.1016/j.jss.2009.03.086

Source DB:  PubMed          Journal:  J Surg Res        ISSN: 0022-4804            Impact factor:   2.192


  32 in total

1.  Heart Rate Complexity in US Army Forward Surgical Teams During Pre Deployment Training.

Authors:  Michelle B Mulder; Matthew S Sussman; Sarah A Eidelson; Kirby R Gross; Mark D Buzzelli; Andriy I Batchinsky; Carl I Schulman; Nicholas Namias; Kenneth G Proctor
Journal:  Mil Med       Date:  2020-06-08       Impact factor: 1.437

2.  Low intraoperative heart rate volatility is associated with early postoperative mortality in general surgical patients: a retrospective case-control study.

Authors:  Yael Mandel-Portnoy; Matthew A Levin; Sameer Bansilal; Maria Suprun; Hung-Mo Lin; Lynne D Richardson; Gregory W Fischer; Jonathan L Halperin
Journal:  J Clin Monit Comput       Date:  2015-10-17       Impact factor: 2.502

3.  Blood pressure variability: can nonlinear dynamics enhance risk assessment during cardiovascular surgery?

Authors:  Balachundhar Subramaniam; Kamal R Khabbaz; Thomas Heldt; Adam B Lerner; Murray A Mittleman; Roger B Davis; Ary L Goldberger; Madalena D Costa
Journal:  J Cardiothorac Vasc Anesth       Date:  2014-02-06       Impact factor: 2.628

4.  Validation of pulse rate variability as a surrogate for heart rate variability in chronically instrumented rabbits.

Authors:  Peter R Pellegrino; Alicia M Schiller; Irving H Zucker
Journal:  Am J Physiol Heart Circ Physiol       Date:  2014-05-02       Impact factor: 4.733

5.  Multi-scale symbolic entropy analysis provides prognostic prediction in patients receiving extracorporeal life support.

Authors:  Yen-Hung Lin; Hui-Chun Huang; Yi-Chung Chang; Chen Lin; Men-Tzung Lo; Li-Yu Daisy Liu; Pi-Ru Tsai; Yih-Sharng Chen; Wen-Je Ko; Yi-Lwun Ho; Ming-Fong Chen; Chung-Kang Peng; Timothy G Buchman
Journal:  Crit Care       Date:  2014-10-24       Impact factor: 9.097

Review 6.  Genomics of Cardiovascular Measures of Autonomic Tone.

Authors:  Martin I Sigurdsson; Nathan H Waldron; Andrey V Bortsov; Shad B Smith; William Maixner
Journal:  J Cardiovasc Pharmacol       Date:  2018-03       Impact factor: 3.105

7.  Modeling physiologic variability in human endotoxemia.

Authors:  Jeremy D Scheff; Panteleimon D Mavroudis; Panagiota T Foteinou; Steve E Calvano; Ioannis P Androulakis
Journal:  Crit Rev Biomed Eng       Date:  2012

8.  Initial fractal exponent of heart rate variability is associated with success of early resuscitation in patients with severe sepsis or septic shock: a prospective cohort study.

Authors:  Samuel M Brown; Quinn Tate; Jason P Jones; Daniel B Knox; Kathryn G Kuttler; Michael Lanspa; Matthew T Rondina; Colin K Grissom; Subhasis Behera; V J Mathews; Alan Morris
Journal:  J Crit Care       Date:  2013-08-17       Impact factor: 3.425

Review 9.  Computational approaches for translational clinical research in disease progression.

Authors:  Mary F McGuire; Madurai Sriram Iyengar; David W Mercer
Journal:  J Investig Med       Date:  2011-08       Impact factor: 2.895

Review 10.  Translational applications of evaluating physiologic variability in human endotoxemia.

Authors:  Jeremy D Scheff; Panteleimon D Mavroudis; Steve E Calvano; Ioannis P Androulakis
Journal:  J Clin Monit Comput       Date:  2012-12-01       Impact factor: 2.502

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