Heart Rate Variability, Clinical and Laboratory Measures to Predict Future Deterioration in Patients Presenting with Sepsis

Douglas P. Barnaby, Shannon M. Fernando, Christophe L. Herry, Nathan B. Scales, Edward John Gallagher, Andrew J.E. Seely

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

Background:Risk stratification of patients presenting to the emergency department (ED) with sepsis can be challenging. We derived and evaluated performance of a predictive model containing clinical, laboratory, and heart rate variability (HRV) measures to quantify risk of deterioration in this population.Methods:ED patients aged 21 and older satisfying the 1992 consensus conference criteria for sepsis and able to consent (directly or through a surrogate) were enrolled (n=1,247). Patients had clinical, laboratory, and HRV data recorded within 1 h of ED presentation, and were followed to identify deterioration within 72h.Results:Eight hundred thirty-two patients had complete data, of whom 68 (8%) reached at least one endpoint. Optimal predictive performance was derived from a combination of laboratory values and HRV metrics with an area under the receiver-operating curve (AUROC) of 0.80 (95% CI, 0.65-0.92). This combination of variables was superior to clinical (AUROC=0.69, 95% CI, 0.54-0.83), laboratory (AUROC=0.77, 95% CI, 0.63-0.90), and HRV measures (AUROC=0.76, 95% CI, 0.61-0.90) alone. The HRV+LAB model identified a high-risk cohort of patients (14% of all patients) with a 4.3-fold (95% CI, 3.2-5.4) increased risk of deterioration (incidence of deterioration: 35%), as well as a low-risk group (61% of all patients) with 0.2-fold (95% CI 0.1-0.4) risk of deterioration (incidence of deterioration: 2%).Conclusions:A model that combines HRV and laboratory values may help ED physicians evaluate risk of deterioration in patients with sepsis and merits validation and further evaluation.

Original languageEnglish (US)
Pages (from-to)416-422
Number of pages7
JournalShock
Volume51
Issue number4
DOIs
StatePublished - Apr 1 2019

Keywords

  • Critical care
  • emergency department
  • heart rate variability
  • prediction
  • sepsis

ASJC Scopus subject areas

  • Emergency Medicine
  • Critical Care and Intensive Care Medicine

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