Why the study?
Does heart rate variability monitoring predict successful resuscitation and the need for ICU admission in patients referred to the rapid response team?
Does heart rate variability monitoring predict successful resuscitation and the need for ICU admission in patients referred to the rapid response team?
Reduced heart rate variability, specifically very low frequencies, identifies unsuccessful resuscitation and predicts the need for early ICU admission in patients evaluated by rapid response teams.
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May aid early ICU risk stratification after rapid response activation; hypothesis-generating and requires prospective validation.
Background. Reduced heart rate variability (HRV) indicates dominance of the sympathetic system and a state of “physiologic stress.” We postulated that, in patients with critical illness, increases in HRV might signal successful resuscitation and improved prognosis. Methods. We carried out a prospective observational study of HRV on all patients referred to the rapid response team (RRT) and correlated with serial vital signs, lactate clearance, ICU admission, and mortality. Results. Ninety-one patients were studied. Significantly higher HRV was observed in patients who achieved physiological stability and did not need ICU admission: ASDNN 19 versus 34.5, p=0.032 ; rMSSD 13.5 versus 25, p=0.046 ; mean VLF 9.4 versus 17, p=0.021 ; mean LF 5.8 versus 12.4, p=0.018 ; and mean HF 4.7 versus 10.5, p=0.017 . ROC curves confirmed the change in very low frequencies at 2 hours as a strong predictor for ICU admission with an AUC of 0.772 (95% CI 0.633, 0.911, p=0.001 ) and a cutoff value of −0.65 associated with a sensitivity of 78.6% and a specificity of 61%. Conclusions. Reduced HRV, specifically VLF, appears closely related to greater severity of critical illness, identifies unsuccessful resuscitation, and can be used to identify consultations that need early ICU admission.
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Salahuddin et al. (2018) studied this question.
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