Evidence map›Paper›PMID 30928542›Full record

ArticleRespiratory physiology & neurobiology2019

Ventilatory pattern variability as a biometric for severity of acute lung injury in rats.

Benjamin P Young, Kenneth A Loparo, Thomas E Dick, Frank J Jacono

Abstract read
In one paragraph

Article in Respiratory physiology & neurobiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Review
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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

4 authors.

Benjamin P YoungDivision of Pulmonary, Critical Care, & Sleep Medicine, Department of Medicine, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA.
Kenneth A LoparoDepartment of Electrical Engineering and Computer Science, School of Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
Thomas E DickDivision of Pulmonary, Critical Care, & Sleep Medicine, Department of Medicine, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA; Department of Neurosciences, School of Medicine Case Western Reserve University, Cleveland, OH 44106, USA. Electronic address: ted3@case.edu.
Frank J JaconoDivision of Pulmonary, Critical Care, & Sleep Medicine, Department of Medicine, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA; Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Louis Stokes VA Medical Center, Cleveland, OH 44106, USA.

Funding

Modeling Brainstem Inflammation's Role in Systemic Dysfunction during SepsisU01EB021960 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI DICK, THOMAS E · 2017 to 2020
$2.6M
Modeling of Pathogenic Breathing Pattern Dysregulation in Cardiopulmonary DiseaseR33HL087377 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI DICK, THOMAS E · 2008 to 2010
$961k
BLRD VA I01 BX000873BLRD VA I01 BX004197NHLBI NIH HHS R33 HL087377NIBIB NIH HHS U01 EB021960
6 · The paper itself

Abstract

We hypothesize that ventilatory pattern variability (VPV) varies with the magnitude of acute lung injury (ALI). In adult male rats, we instilled a low- or high- dose of bleomycin or saline (PBS) intratracheally. While representative samples of pulmonary tissue indicated graded lung injury, coefficient of variation (CV) of TTOT did not differ among the 3 groups. Broncho-alveolar lavage fluid (BALF), respiratory rate (fR), mutual information were greater in ALI than sham rats; but did not differ between bleomycin doses. However, nonlinear complexity index (NLCI), which is the difference in sample entropy between original and surrogate data sets was greater for high- versus low- dose; but did not differ between low-dose and sham groups. Further, NLCI correlated to an injury index based on protein concentration of BALF and failure to gain weight. Finally, Receiver Operator Curves (ROCs) indicated that both mutual information and NLCI had greater sensitivity and specificity than fR and CVTTOT in identifying ALI. Thus, nonlinear analyses of VPV can distinguish ALI and out performs fR as a biometric.

Indexed as

BiometryAcute Lung InjuryAnimalsBronchoalveolar Lavage FluidMaleNonlinear DynamicsRatsRats, Sprague-DawleyRespiratory MechanicsRespiratory RateSensitivity and SpecificityBiometrics of respiratory diseaseBrainstem inflammationNeural control of respirationNonlinear dynamics

Identifiers

PMID30928542
PMCPMC9994622

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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.