Literature DB >> 20562705

Is heart period variability associated with the administration of lifesaving interventions in individual prehospital trauma patients with normal standard vital signs?

Caroline A Rickards1, Kathy L Ryan, David A Ludwig, Victor A Convertino.   

Abstract

OBJECTIVE: To determine whether heart period variability provides added value in identifying the need for lifesaving interventions (LSI) in individual trauma patients with normal standard vital signs upon early medical assessment.
DESIGN: Retrospective database review.
SETTING: Helicopter transport to Level 1 trauma center and first 24 hrs of in-hospital care. PATIENTS: Prehospital trauma patients requiring helicopter transport to Level 1 trauma center.
MEASUREMENTS AND MAIN RESULTS: Heart period variability was analyzed from electrocardiographic recordings collected from 159 prehospital trauma patients with normal standard vital signs (32 LSI patients, 127 No-LSI patients). Although 13 of the electrocardiogram derived metrics demonstrated simple (i.e., univariate) discrimination between groups, at the multivariate level, only fractal dimension by curve length (FD-L) was uniquely associated with group membership (LSI vs. No-LSI, p = .0004). Whereas the area under the receiver operating characteristics curve for FD-L was 0.70, the overall correct classification rate (true positives and true negatives) of 82% was only 2% higher than the baseline prediction rate of 80% (i.e., no information except for the known proportion of overall No-LSI cases, 127 of 159 patients). Furthermore, 84% of the individual FD-L values for the LSI group were within the range of the No-LSI group.
CONCLUSIONS: Only FD-L was uniquely able to distinguish patient groups based on mean values when standard vital signs were normal. However, the accuracy of FD-L in distinguishing between patients was only slightly better than the baseline prediction rate. There was also very high overlap of individual heart period variability values between groups, so many LSI patients could be incorrectly classified as not requiring an LSI if a single heart period variability value was used as a triage tool. Based on this analysis, heart period variability seems to have limited value for prediction of LSIs in prehospital trauma patients with normal standard vital signs.

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Year:  2010        PMID: 20562705     DOI: 10.1097/CCM.0b013e3181e74cab

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  10 in total

1.  Arterial pressure oscillations are not associated with muscle sympathetic nerve activity in individuals exposed to central hypovolaemia.

Authors:  Kathy L Ryan; Caroline A Rickards; Carmen Hinojosa-Laborde; William H Cooke; Victor A Convertino
Journal:  J Physiol       Date:  2011-09-19       Impact factor: 5.182

2.  The potential therapeutic benefits of low frequency haemodynamic oscillations.

Authors:  Garen K Anderson; Caroline A Rickards
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3.  Heart Rate Variability as a Biomarker of Neurocardiogenic Injury After Subarachnoid Hemorrhage.

Authors:  Murad Megjhani; Farhad Kaffashi; Kalijah Terilli; Ayham Alkhachroum; Behnaz Esmaeili; Kevin William Doyle; Santosh Murthy; Angela G Velazquez; E Sander Connolly; David Jinou Roh; Sachin Agarwal; Ken A Loparo; Jan Claassen; Amelia Boehme; Soojin Park
Journal:  Neurocrit Care       Date:  2020-02       Impact factor: 3.210

4.  Sympathetic responses to central hypovolemia: new insights from microneurographic recordings.

Authors:  Kathy L Ryan; Caroline A Rickards; Carmen Hinojosa-Laborde; William H Cooke; Victor A Convertino
Journal:  Front Physiol       Date:  2012-04-26       Impact factor: 4.566

5.  Clinical applications of heart rate variability in the triage and assessment of traumatically injured patients.

Authors:  Mark L Ryan; Chad M Thorson; Christian A Otero; Thai Vu; Kenneth G Proctor
Journal:  Anesthesiol Res Pract       Date:  2011-02-10

6.  Heart Rate Variability during Simulated Hemorrhage with Lower Body Negative Pressure in High and Low Tolerant Subjects.

Authors:  Carmen Hinojosa-Laborde; Caroline A Rickards; Kathy L Ryan; Victor A Convertino
Journal:  Front Physiol       Date:  2011-11-21       Impact factor: 4.566

7.  A novel heart rate variability based risk prediction model for septic patients presenting to the emergency department.

Authors:  Mas'uud Ibnu Samsudin; Nan Liu; Sumanth Madhusudan Prabhakar; Shu-Ling Chong; Weng Kit Lye; Zhi Xiong Koh; Dagang Guo; R Rajesh; Andrew Fu Wah Ho; Marcus Eng Hock Ong
Journal:  Medicine (Baltimore)       Date:  2018-06       Impact factor: 1.889

8.  Development of a heart rate variability and complexity model in predicting the need for life-saving interventions amongst trauma patients.

Authors:  Aravin Kumar; Nan Liu; Zhi Xiong Koh; Jayne Jie Yi Chiang; Yuda Soh; Ting Hway Wong; Andrew Fu Wah Ho; Takashi Tagami; Stephanie Fook-Chong; Marcus Eng Hock Ong
Journal:  Burns Trauma       Date:  2019-04-18

9.  Heart Rate Variability Analysis in an Experimental Model of Hemorrhagic Shock and Resuscitation in Pigs.

Authors:  Edgard Salomão; Denise Aya Otsuki; Andre Luis Correa; Denise Tabacchi Fantoni; Fernando dos Santos; Maria Claudia Irigoyen; Jose Otavio Costa Auler
Journal:  PLoS One       Date:  2015-08-06       Impact factor: 3.240

10.  Feasibility, Reliability and Predictive Value Of In-Ambulance Heart Rate Variability Registration.

Authors:  Laetitia Yperzeele; Robbert-Jan van Hooff; Ann De Smedt; Guy Nagels; Ives Hubloue; Jacques De Keyser; Raf Brouns
Journal:  PLoS One       Date:  2016-05-04       Impact factor: 3.240

  10 in total

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