Observational studyThe American journal of emergency medicine2020
Heart rate variability measures for prediction of severity of illness and poor outcome in ED patients with sepsis.
Observational study in The American journal of emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Predicting deterioration of patients with early sepsis at the emergency department using continuous heart rate variability analysis: a model-based approach.Scandinavian journal of trauma, resuscitation and emergency medicine · 2023Trial
- A novel index for trending sepsis and inflammatory response using processed EEG and Heart Rate Variability.Journal of clinical monitoring and computing · 2026Observational
- Associations of Heart Rate Trajectories with Mortality and AKI Occurrence in Septic Patients: A Retrospective Study from MIMIC-IV and eICU Databases.Journal of clinical medicine · 2026Article
- Ultra Short Heart Rate Variability as a Prognostic Marker in Pulmonary Embolism: A Retrospective Cohort Study.Journal of clinical medicine · 2026Article
- Significance of the tendency for relative bradycardia during induction therapy for acute myeloid leukemia.International journal of hematology · 2026Article
- Analysis of the predictive value of heart rate variability analysis combined with SOFA and APACHE II scores for the 28-day mortality risk of patients in the emergency intensive care unit.Frontiers in medicine · 2026Article
- A Heart Rate Variability-Derived Decision Support Tool for Prognostication in Emergency Department Patients With Suspected Infection.BioMed research international · 2026Observational
- Electrochemical skin conductance is associated with peripheral tissue hypoperfusion in septic patients.Intensive care medicine experimental · 2025Article
- Development of Prediction Model for Intensive Care Unit Admission Based on Heart Rate Variability: A Case-Control Matched Analysis.Diagnostics (Basel, Switzerland) · 2024Article
- Influence of blood lactate variations and passive exercise on cardiac responses.Journal of physical therapy science · 2024Article
- Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU.NPJ digital medicine · 2023Article
- Wearable sensors for prediction of intraamniotic infection in women with preterm premature rupture of membranes: a prospective proof of principle study.Archives of gynecology and obstetrics · 2023Article
- HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF).Physiological measurement · 2023Article
- Adding heart rate n-variability (HRnV) to clinical assessment potentially improves prediction of serious bacterial infections in young febrile infants at the emergency department: a prospective observational study.Annals of translational medicine · 2023Article
- Can heart rate variability be a bio-index of hope? A pilot study.Frontiers in psychiatry · 2023Article
- Development and validation of a score to predict mortality in ICU patients with sepsis: a multicenter retrospective study.Journal of translational medicine · 2021Article
- Autonomic balance determines the severity of COVID-19 courses.Bioelectronic medicine · 2020Article
- A narrative review of heart rate and variability in sepsis.Annals of translational medicine · 2020Review
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Abstract
introductionThis study evaluates the utility of heart rate variability (HRV) for assessment of severity of illness and poor outcome in Emergency Department (ED) patients with sepsis. HRV measures evaluated included low frequency (LF) signal, high frequency (HF) signal, and deviations in LF and HF signal from age-adjusted reference values.
methodsThis was a prospective, observational study. Seventy-two adult ED patients were assessed within 6 h of arrival.
resultsSeverity of illness as defined by sepsis subtype correlated with decreased LF signal (sepsis: 70.68 ± 22.95, severe sepsis: 54.00 ± 28.41, septic shock: 45.54 ± 23.31, p = 0.02), increased HF signal (sepsis: 27.87 ± 19.42, severe sepsis: 44.63 ± 27.29, septic shock: 47.66 ± 20.98, p = 0.01), increasingly negative deviations in LF signal (sepsis: 0.41 ± 24.53, severe sepsis: -21.43 ± 30.09, septic shock -30.39 ± 26.09, p = 0.005) and increasingly positive deviations in HF signal (sepsis: -1.86 ± 21.09, severe sepsis: 20.07 ± 29.03, septic shock: 23.6 ± 24.17, p = 0.004). Composite poor outcome correlated with decreased LF signal (p = 0.008), increased HF signal (p = 0.03), large negative deviations in LF signal (p = 0.004) and large positive deviations in HF signal (p = 0.02). Deviations in LF and HF signal from age-adjusted reference values correlated with individual measures of poor outcome with greater consistency than LF or HF signal. DISCUSSION: Accounting for the influence of age on baseline HRV signal improves the predictive value of HRV measures in ED patients with sepsis.
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