Evidence map›Paper›PMID 22174403›Full record

ArticleJournal of applied physiology (Bethesda, Md. : 1985)2012

Breath-by-breath analysis of cardiorespiratory interaction for quantifying developmental maturity in premature infants.

Matthew T Clark, Craig G Rusin, John L Hudson, Hoshik Lee, John B Delos, Lauren E Guin, Brooke D Vergales, Alix Paget-Brown, John Kattwinkel, Douglas E Lake and 1 more

Abstract read
In one paragraph

Article in Journal of applied physiology (Bethesda, Md. : 1985), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Cardiorespiratory coupling in preterm infants.Journal of applied physiology (Bethesda, Md. : 1985) · 2019
    Article
  12. Article
  13. Cardioventilatory Control in Preterm-born Children and the Risk of Obstructive Sleep Apnea.American journal of respiratory and critical care medicine · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Accurate automated apnea analysis in preterm infants.American journal of perinatology · 2014
    Article
  18. Article
  19. Review
  20. 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

11 authors.

Matthew T ClarkDepartment of Chemical Engineering, University of Virginia, Charlottesville, USA.
Craig G Rusin
John L Hudson
Hoshik Lee
John B Delos
Lauren E Guin
Brooke D Vergales
Alix Paget-Brown
John Kattwinkel
Douglas E Lake
J Randall Moorman

Funding

Neonatal apnea: Online risk score from new analyses of bedside monitor waveformsRC2HD064488 · NICHD · UNIVERSITY OF VIRGINIA · PI KATTWINKEL, JOHN, MOORMAN, JOSEPH RANDALL · 2009 to 2010
$2.0M
NICHD NIH HHS 1 1RC2 HD-064488-02
6 · The paper itself

Abstract

In healthy neonates, connections between the heart and lungs through brain stem chemosensory pathways and the autonomic nervous system result in cardiorespiratory synchronization. This interdependence between cardiac and respiratory dynamics can be difficult to measure because of intermittent signal quality in intensive care settings and variability of heart and breathing rates. We employed a phase-based measure suggested by Schäfer and coworkers (Schäfer C, Rosenblum MG, Kurths J, Abel HH. Nature 392: 239-240, 1998) to obtain a breath-by-breath analysis of cardiorespiratory interaction. This measure of cardiorespiratory interaction does not distinguish between cardiac control of respiration associated with cardioventilatory coupling and respiratory influences on the heart rate associated with respiratory sinus arrhythmia. We calculated, in sliding 4-min windows, the probability density of heartbeats as a function of the concurrent phase of the respiratory cycle. Probability density functions whose Shannon entropy had a <0.1% chance of occurring from random numbers were classified as exhibiting interaction. In this way, we analyzed 18 infant-years of data from 1,202 patients in the Neonatal Intensive Care Unit at University of Virginia. We found evidence of interaction in 3.3 patient-years of data (18%). Cardiorespiratory interaction increased several-fold with postnatal development, but, surprisingly, the rate of increase was not affected by gestational age at birth. We find evidence for moderate correspondence between this measure of cardiorespiratory interaction and cardioventilatory coupling and no evidence for respiratory sinus arrhythmia, leading to the need for further investigation of the underlying mechanism. Such continuous measures of physiological interaction may serve to gauge developmental maturity in neonatal intensive care patients and prove useful in decisions about incipient illness and about hospital discharge.

Indexed as

Autonomic Nervous SystemBirth WeightBreath TestsFemaleGestational AgeHeartHeart RateHumansInfant, NewbornInfant, PrematureIntensive Care Units, NeonatalLungMaleRespiratory Mechanics

Identifiers

PMID22174403
PMCPMC3311658

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.