Trial reportScientific reports2022
Early heart rate variability evaluation enables to predict ICU patients' outcome.
Trial report in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 28 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Setting up a Warehouse of Physiological Data and Biomedical Signals in Adult Intensive Care
Association Between Early Autonomic Dysfunction Measured by the Analgesia Nociception Index (ANI) and Prolonged Mechanical Ventilation in Postoperative ICU Patients
Who cites it
28 citing papers in PubMed.
- Cardiac autonomic dysfunction is associated with advanced stage, fast progression and poor survival in amyotrophic lateral sclerosis.Journal of neuromuscular diseases · 2026Article
- Heart Rate Variability Integrated into a Longitudinal Multimodal Model to Predict Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage.Bioengineering (Basel, Switzerland) · 2026Article
- Impact of positive end-expiratory pressure on autonomic nervous system activity and its interaction with cerebrovascular reactivity - an experimental study.Journal of clinical monitoring and computing · 2026Article
- Heart-rate-derived variability measures and in-hospital mortality in critically ill patients with heart failure and atrial fibrillation: insights from the MIMIC-IV database.BMC cardiovascular disorders · 2026Article
- Comparative evaluation of feature selection methods for HRV-based survival modeling in HIV-positive ICU patients: a retrospective study.BMC medical informatics and decision making · 2026Article
- Interpreting peripheral oxygen saturation variability in critical illness: A directional framework adjusted for hypoxia severity.Experimental physiology · 2026Article
- Prediction of neurological outcome after pediatric cardiac arrest using heart rate variability and machine learning.Resuscitation · 2026Article
- Heart rate variability findings in neurological decompression sickness: an exploratory case series.Frontiers in physiology · 2026Article
- Volatile sedation using isoflurane versus intravenous sedation in intensive care unit: a propensity matched case control study.Annals of intensive care · 2026Article
- Advancing entropy analysis for heart rate variability: clinical insights for aging and diabetes.Frontiers in physiology · 2026Review
- Electrochemical skin conductance is associated with peripheral tissue hypoperfusion in septic patients.Intensive care medicine experimental · 2025Article
- Autonomic heart rate variability trends predict outcome in disorders of consciousness.Scientific reports · 2025Article
- Association between cardiac autonomic dysfunction, cognitive impairment, and survival in patients with amyotrophic lateral sclerosis.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2025Article
- Effect of 24-hour heart rate fluctuations on mortality in patients with acute myocardial infarction: based on the MIMIC III database.BMC cardiovascular disorders · 2025Article
- Regional cerebral oxygen saturation during initial mobilization of critically ill patients is associated with clinical outcomes: a prospective observational study.Intensive care medicine experimental · 2025Article
- Peripheral arterial oxygen saturation to fraction of inspired oxygen ratio: a versatile parameter for critically ill patients.Critical care science · 2025Article
- Article
- Exploration of simultaneous transients between cerebral hemodynamics and the autonomic nervous system using windowed time-lagged cross-correlation matrices: a CENTER-TBI study.Acta neurochirurgica · 2024Article
- Detecting cardiac states with wearable photoplethysmograms and implications for out-of-hospital cardiac arrest detection.Scientific reports · 2024Article
- Use of a continuous single lead electrocardiogram analytic to predict patient deterioration requiring rapid response team activation.PLOS digital health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heart rate variability (HRV) is a mean to evaluate cardiac effects of autonomic nervous system activity, and a relation between HRV and outcome has been proposed in various types of patients. We attempted to evaluate the best determinants of such variation in survival prediction using a physiological data-warehousing program. Plethysmogram tracings (PPG) were recorded at 75 Hz from the standard monitoring system, for a 2 h period, during the 24 h following ICU admission. Physiological data recording was associated with metadata collection. HRV was derived from PPG in either the temporal and non-linear domains. 540 consecutive patients were recorded. A lower LF/HF, SD2/SD1 ratios and Shannon entropy values on admission were associated with a higher ICU mortality. SpO2/FiO2 ratio and HRV parameters (LF/HF and Shannon entropy) were independent correlated with mortality in the multivariate analysis. Machine-learning using neural network (kNN) enabled to determine a simple decision tree combining the three best determinants (SDNN, Shannon Entropy, SD2/SD1 ratio) of a composite outcome index. HRV measured on admission enables to predict outcome in the ICU or at Day-28, independently of the admission diagnosis, treatment and mechanical ventilation requirement.Trial registration: ClinicalTrials.gov identifier NCT02893462.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.