Evidence map›Paper›PMID 29665012›Full record

ArticleThe Journal of physiology2018

Wavelet pressure reactivity index: a validation study.

Xiuyun Liu, Marek Czosnyka, Joseph Donnelly, Danilo Cardim, Manuel Cabeleira, Peter J Hutchinson, Xiao Hu, Peter Smielewski, Ken Brady

Open access · greenAbstract readValidation Study
In one paragraph

Article in The Journal of physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
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  8. Neonatal NIRS monitoring: recommendations for data capture and review of analytics.Journal of perinatology : official journal of the California Perinatal Association · 2021
    Review
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  13. Article
  14. A bright forecast for autoregulation monitoring?The Journal of physiology · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 7 countries.

Xiuyun LiuBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.ORCID 0000-0001-9540-4865
Marek CzosnykaBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.
Joseph DonnellyBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.ORCID 0000-0002-6502-8069
Danilo CardimFaculty of Medicine, Department of Anesthesiology, Pharmacology & Therapeutics, The University of British Columbia, Vancouver, Canada.
Manuel CabeleiraBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.
Peter J HutchinsonBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.
Xiao HuDepartment of Physiological Nursing, UCSF, San Francisco, CA, USA.
Peter SmielewskiBrain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.ORCID 0000-0001-5096-3938
Ken BradyBaylor College of Medicine, Houston, TX, USA.
University of Cambridge · GBUniversity of California, San Francisco · USBaylor College of Medicine · USUniversity of Auckland · NZUniversity of British Columbia · CAWarsaw University of Technology · PL

Funding

Department of Health 12/35/57Department of Health HTA/13/15/02Department of Health II-C5-0715-20005Department of Health NIHR-RP-R3-12-013Medical Research Council G0502030Medical Research Council G0600986Medical Research Council G0601025Medical Research Council G1002277Medical Research Council G9439390
6 · The paper itself

Abstract

key pointsThe brain is vulnerable to damage from too little or too much blood flow. A physiological mechanism termed cerebral autoregulation (CA) exists to maintain stable blood flow even if cerebral perfusion pressure (CPP) is changing. A robust method for assessing CA is not yet available. There are still some problems with the traditional measure, the pressure reactivity index (PRx). We introduce a new method, the wavelet transform method (wPRx), to assess CA using data from two sets of controlled hypotension experiments in piglets: one set had artificially manipulated arterial blood pressure (ABP) oscillations; the other group were spontaneous ABP waves. A significant linear relationship was found between wPRx and PRx in both groups, with wPRx providing a more stable result for the spontaneous waves. Although both methods showed similar accuracy in distinguishing intact and impaired CA, it seems that wPRx tends to perform better than PRx, although not significantly so. ABSTRACT: We present a novel method to monitor cerebral autoregulation (CA) using the wavelet transform (WT). The new method is validated against the pressure reactivity index (PRx) in two piglet experiments with controlled hypotension. The first experiment (n = 12) had controlled haemorrhage with artificial stationary arterial blood pressure (ABP) and intracranial pressure (ICP) oscillations induced by sinusoidal slow changes in positive end-expiratory pressure ('PEEP group'). The second experiment (n = 17) had venous balloon inflation during spontaneous, non-stationary ABP and ICP oscillations ('non-PEEP group'). The wavelet transform phase shift (WTP) between ABP and ICP was calculated in the frequency range 0.0067-0.05 Hz. Wavelet semblance, the cosine of WTP, was used to make the values comparable to PRx, and the new index was termed wavelet pressure reactivity index (wPRx). The traditional PRx, the running correlation coefficient between ABP and ICP, was calculated. The result showed a significant linear relationship between wPRx and PRx in the PEEP group (R = 0.88) and non-PEEP group (R = 0.56). In the non-PEEP group, wPRx showed better performance than PRx in distinguishing cerebral perfusion pressure (CPP) above and below the lower limit of autoregulation (LLA). When CPP was decreased below LLA, wPRx increased from 0.43 ± 0.28 to 0.69 ± 0.12 (P = 0.003) while PRx increased from 0.07 ± 0.21 to 0.27 ± 0.37 (P = 0.04). Moreover, wPRx provided a more stable result than PRx (SD of PRx was 0.40 ± 0.07, and SD of wPRx was 0.28 ± 0.11, P = 0.001). Assessment of CA using wavelet-derived phase shift between ABP and ICP is feasible.

Indexed as

Arterial PressureCerebrovascular CirculationHomeostasisMonitoring, PhysiologicWavelet AnalysisAnimalsBrainIntracranial PressureSwinecerebral autoregulationexperimental hypotensionlow limit of autoregulationpressure reactivity indexwavelet transform

Identifiers

PMID29665012
PMCPMC6046066
OpenAlexW2883889320

What OpenQuestion holds

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Registered trials

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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.