Key result
Heart rate variability measures, specifically root mean square successive difference, significantly predicted progression to septic shock within 6 hours among 81 ED patients with sepsis.
Why the study?
Does heart rate variability measurement predict progression to septic shock in emergency department patients with sepsis?
Observational (n=81)
No
Does heart rate variability measurement predict progression to septic shock in emergency department patients with sepsis?
Heart rate variability measures, particularly root mean square successive difference, can serve as early predictors of impending septic shock in emergency department patients with sepsis.
May aid early risk stratification of ED sepsis patients; hypothesis-generating and requires prospective validation before practice change.
OBJECTIVES: To determine whether heart rate variability (HRV) measures can be used to predict which septic patients in the emergency department (ED) will progress to septic shock. METHODS: The authors prospectively enrolled consecutive patients who met the 2001 International Sepsis Definitions Conference criteria of sepsis and visited the ED of a university teaching hospital over a six-month period. In addition to the septic workup, a continuous 10-minute electrocardiogram recording was performed at the same time. The HRV measures were calculated off-line and correlated with the outcome of the patients. RESULTS: Eighty-one patients aged 30-84 years who met the inclusion criteria were enrolled. The patients were classified as those with no septic shock (n = 60) and those with septic shock (n = 21), according to their outcome within six hours. The baseline root mean square successive difference, high-frequency power, and normalized high-frequency power of the septic shock group were significantly higher than those of the no septic shock group. The low-frequency power, normalized low-frequency power, and low-/high-frequency power ratio of the septic shock group were significantly lower than those of the no septic shock group. Multiple logistic regression analysis identified root mean square successive difference as the best predictor of impending septic shock for septic ED patients. CONCLUSIONS: HRV measures may be used to identify septic ED patients with impending septic shock. Among those HRV measures, root mean square successive difference seems to be the best indicator to predict the occurrence of septic shock.
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Chen et al. (2007) conducted an observational in Sepsis (n=81). Heart rate variability (HRV) measures was evaluated on Progression to septic shock within six hours. Heart rate variability measures, specifically root mean square successive difference, significantly predicted progression to septic shock within 6 hours among 81 ED patients with sepsis.
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