Occurrence of elevated shock index in acute patients and development of a proportional shock index metric

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Abstract

Although shock index, as the ratio between heart rate and systolic blood pressure, is a well-recognized predictor for adverse outcomes, it is seldom integrated into clinical evaluation procedures as it requires on-the-fly evaluation of multiple terms. In this paper, we investigate the prevalence of elevated shock index in emergency department patients through an analysis of automatic heart rate and blood pressure readings from 809 admissions to an acute bedside ward at a large Danish hospital. The analysis is conducted by evaluating differences in terms of 30 day mortality. Our results indicate that elevated shock indexes are frequent in acute patients. This finding should spur a discussion on the utility of interventions relying on calculations of shock index based on spot measurements. As an alternative, we propose a novel proportional representation of shock index based on automated calculations of temporal shock index aspects.

Original languageEnglish
Title of host publication2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Volume2016
PublisherIEEE Press
Publication dateAug 2016
Pages2411-2414
Article number7591216
ISBN (Print)978-1-4577-0219-8
ISBN (Electronic)978-1-4577-0220-4
DOIs
Publication statusPublished - Aug 2016
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, United States
Duration: 16. Aug 201620. Aug 2016
Conference number: 38
http://embc.embs.org/2016/

Conference

Conference38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number38
Country/TerritoryUnited States
CityOrlando
Period16/08/201620/08/2016
Internet address
SeriesProceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society
ISSN2375-7477

Keywords

  • Adult
  • Aged
  • Algorithms
  • Blood Pressure Determination
  • Blood Pressure/physiology
  • Denmark
  • Emergency Service, Hospital
  • Female
  • Heart Rate
  • Humans
  • Male
  • Middle Aged
  • Monitoring, Physiologic/methods
  • Pattern Recognition, Automated
  • Prognosis
  • Severity of Illness Index
  • Shock/diagnostic imaging
  • Signal Processing, Computer-Assisted
  • Time Factors

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