ReviewNeurocritical care2022
Leveraging Continuous Vital Sign Measurements for Real-Time Assessment of Autonomic Nervous System Dysfunction After Brain Injury: A Narrative Review of Current and Future Applications.
Review in Neurocritical care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 22 citations in OpenAlex.
- Recognising and differentiating paroxysmal sympathetic hyperactivity after severe traumatic brain injury: a practical diagnostic approach.Acta neurologica Belgica · 2026Review
- Article
- The Predictive Value of Heart Rate Variability for the Prognosis of Patients with Mild to Moderate Traumatic Brain Injury.Neurology and therapy · 2025Article
- Group-Based Trajectory Modeling Identifies Distinct Patterns of Sympathetic Hyperactivity Following Traumatic Brain Injury.Neurocritical care · 2025Observational
- Machine Learning Approaches to Prognostication in Traumatic Brain Injury.Current neurology and neuroscience reports · 2025Review
- Use of a continuous single lead electrocardiogram analytic to predict patient deterioration requiring rapid response team activation.PLOS digital health · 2024Article
- The ECG abnormalities in persons with chronic disorders of consciousness.Medical & biological engineering & computing · 2024Article
- Group based trajectory modeling identifies distinct patterns of sympathetic hyperactivity following traumatic brain injury.Research square · 2024Article
- Overlapping Physiologic Signs of Sepsis and Paroxysmal Sympathetic Hyperactivity After Traumatic Brain Injury: Exploring A Clinical Conundrum.Neurocritical care · 2024Article
- Article
- Utilizing ultra-early continuous physiologic data to develop automated measures of clinical severity in a traumatic brain injury population.Scientific reports · 2024Article
- Multi-Mechanistic Approaches to the Treatment of Traumatic Brain Injury: A Review.Journal of clinical medicine · 2023Review
- Fast Healthcare Interoperability Resources for Inpatient Deterioration Detection With Time-Series Vital Signs: Design and Implementation Study.JMIR medical informatics · 2022Article
- Navigating the Ocean of Big Data in Neurocritical Care.Neurocritical care · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Subtle and profound changes in autonomic nervous system (ANS) function affecting sympathetic and parasympathetic homeostasis occur as a result of critical illness. Changes in ANS function are particularly salient in neurocritical illness, when direct structural and functional perturbations to autonomic network pathways occur and may herald impending clinical deterioration or intervenable evolving mechanisms of secondary injury. Sympathetic and parasympathetic balance can be measured quantitatively at the bedside using multiple methods, most readily by extracting data from electrocardiographic or photoplethysmography waveforms. Work from our group and others has demonstrated that data-analytic techniques can identify quantitative physiologic changes that precede clinical detection of meaningful events, and therefore may provide an important window for time-sensitive therapies. Here, we review data-analytic approaches to measuring ANS dysfunction from routine bedside physiologic data streams and integrating this data into multimodal machine learning-based model development to better understand phenotypical expression of pathophysiologic mechanisms and perhaps even serve as early detection signals. Attention will be given to examples from our work in acute traumatic brain injury on detection and monitoring of paroxysmal sympathetic hyperactivity and prediction of neurologic deterioration, and in large hemispheric infarction on prediction of malignant cerebral edema. We also discuss future clinical applications and data-analytic challenges and future directions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.