Evidence map›Paper›PMID 37151893›Full record

ArticleCritical care explorations2023

Heart Rate Change as a Potential Digital Biomarker of Brain Death in Critically Ill Children With Acute Catastrophic Brain Injury.

Kerri L LaRovere, Matthew Luchette, Alireza Akhondi-Asl, Bradley J DeSouza, Robert C Tasker, Nilesh M Mehta, Alon Geva

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Critical care explorations, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Kerri L LaRovereDepartment of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, MA.
Matthew LuchetteDepartment of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital and Department of Anesthesia, Harvard Medical School, Boston, MA.
Alireza Akhondi-AslDepartment of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital and Department of Anesthesia, Harvard Medical School, Boston, MA.
Bradley J DeSouzaDepartment of Critical Care Medicine, Children's Hospital Los Angeles and Keck School of Medicine, University of Southern California, Los Angeles, CA.
Robert C TaskerDepartment of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital and Department of Anesthesia, Harvard Medical School, Boston, MA.
Nilesh M MehtaDepartment of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital and Department of Anesthesia, Harvard Medical School, Boston, MA.
Alon GevaDepartment of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital and Department of Anesthesia, Harvard Medical School, Boston, MA.
Boston Children's Hospital · USHarvard University · US

Funding

NHLBI NIH HHS L40 HL133929
6 · The paper itself

Abstract

Bedside measurement of heart rate (HR) change (HRC) may provide an objective physiologic marker for when brain death (BD) may have occurred, and BD testing is indicated in children.

objectivesTo determine whether HRC, calculated using numeric HR measurements sampled every 5 seconds, can identify patients with BD among patients with catastrophic brain injury (CBI). DESIGN SETTING AND

participantsSingle-center, retrospective study (2008-2020) of critically ill children with acute CBI. Patients with CBI had a neurocritical care consultation, were admitted to an ICU, had acute neurologic injury on presentation or during hospitalization based on clinical and/or imaging findings, and died or survived with Glasgow Coma Scale (GCS) less than 13 at hospital discharge. Patients meeting BD criteria (BD group) were compared with those with cardiopulmonary death (CD group) or those who survived to discharge. MAIN OUTCOMES AND MEASURES: HRC was calculated as the interquartile range of HR divided by median HR using 5-minute windows with 50% overlap for up to 5 days before death or end of recording. HRC was compared among the BD, CD, and survivor groups.

resultsOf 96 patients with CBI (69% male, median age 4 years), 28 died (8 BD, 20 CD) and 20 survived (median GCS 9 at discharge). Within 24 hours before death, HRC was lower in BD compared with CD patients or survivors (0.01 vs 0.03 vs 0.04, CONCLUSIONS AND RELEVANCE: HRC is a novel digital biomarker that, with further validation, may be useful as a classifier for BD in the overall course of patients with CBI.

Indexed as

brain injuriescritical illnessheart rate variabilityintensive care unitspediatric

Identifiers

PMID37151893
PMCPMC10158912
OpenAlexW4372294531

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.