Evidence map›Paper›PMID 32245979›Full record

ArticleScientific reports2020

Comparison of wavelet and correlation indices of cerebral autoregulation in a pediatric swine model of cardiac arrest.

Xiuyun Liu, Xiao Hu, Ken M Brady, Raymond Koehler, Peter Smielewski, Marek Czosnyka, Joseph Donnelly, Jennifer K Lee

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Xiuyun LiuDepartment of Anesthesiology and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA. Liuxiuyun1@gmail.com.
Xiao HuDepartment of Physiological Nursing, University of California, San Francisco, CA, USA.
Ken M BradyNorthwestern University, Ann & Robert H. Lurie Children's Hospital of Chicago, Department of Anesthesiology, Chicago, IL, USA.
Raymond KoehlerDepartment of Anesthesiology and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Peter SmielewskiBrain Physics Laboratory, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.
Marek CzosnykaBrain Physics Laboratory, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.
Joseph DonnellyBrain Physics Laboratory, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.
Jennifer K LeeDepartment of Anesthesiology and Critical Care Medicine, Division of Pediatric Anesthesiology, Johns Hopkins University, Baltimore, MD, USA.

Funding

Therapeutic Strategies for Neonatal Hypoxic-Ischemiic EncephalopathyR01NS060703 · NINDS · JOHNS HOPKINS UNIVERSITY · PI KOEHLER, RAYMOND CHARLES · 2008 to 2019
$3.9M
Integrate Dynamic System Model and Machine Learning for Calibration-Free Noninvasive ICPR01NS106905 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HU, XIAO · 2018 to 2022
$2.8M
Development of real-time, non-invasive photoacoustic imaging to rapidly detect and track perinatal focal stroke at birthR01HL139543 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BOCTOR, EMAD M, GRAHAM, ERNEST MARSHALL · 2018 to 2021
$2.4M
Brain Microstructural MRI in a Piglet Model of Hypoxia-IschemiaR01NS107417 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LEE, JENNIFER KIM · 2018 to 2022
$1.8M
ICP Elevation Alerting Based on a Predictive Model Hosting PlatformR01NS076738 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HU, XIAO · 2012 to 2015
$1.7M
Neuronal injury after pediatric cardiac arrest, hypothermia, and rewarmingK08NS080984 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LEE, JENNIFER KIM · 2014 to 2018
$960k
Use of transnasal air flow to cool and protect the brain after pediatric cardiac arrestR21NS095036 · NINDS · JOHNS HOPKINS UNIVERSITY · PI KOEHLER, RAYMOND CHARLES, TANDRI, HARIKRISHNA · 2016 to 2017
$446k
NHLBI NIH HHS R01 HL139543NINDS NIH HHS K08 NS080984NINDS NIH HHS R01 NS060703NINDS NIH HHS R01 NS076738NINDS NIH HHS R01 NS106905NINDS NIH HHS R01 NS107417NINDS NIH HHS R21 NS095036
6 · The paper itself

Abstract

Existing cerebrovascular blood pressure autoregulation metrics have not been translated to clinical care for pediatric cardiac arrest, in part because signal noise causes high index time-variability. We tested whether a wavelet method that uses near-infrared spectroscopy (NIRS) or intracranial pressure (ICP) decreases index variability compared to that of commonly used correlation indices. We also compared whether the methods identify the optimal arterial blood pressure (ABPopt) and lower limit of autoregulation (LLA). 68 piglets were randomized to cardiac arrest or sham procedure with continuous monitoring of cerebral blood flow using laser Doppler, NIRS and ICP. The arterial blood pressure (ABP) was gradually reduced until it dropped to below the LLA. Several autoregulation indices were calculated using correlation and wavelet methods, including the pressure reactivity index (PRx and wPRx), cerebral oximetry index (COx and wCOx), and hemoglobin volume index (HVx and wHVx). Wavelet methodology had less index variability with smaller standard deviations. Both wavelet and correlation methods distinguished functional autoregulation (ABP above LLA) from dysfunctional autoregulation (ABP below the LLA). Both wavelet and correlation methods also identified ABPopt with high agreement. Thus, wavelet methodology using NIRS may offer an accurate vasoreactivity monitoring method with reduced signal noise after pediatric cardiac arrest.

Indexed as

AnimalsArterial PressureCerebrovascular CirculationChildDisease Models, AnimalHeart ArrestHemoglobinsHomeostasisHumansHypoxia, BrainIntracranial PressureLaser-Doppler FlowmetryMaleNeurophysiological MonitoringOximetrySpectroscopy, Near-InfraredHemoglobins

Identifiers

PMID32245979
PMCPMC7125097

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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.