Evidence map›Paper›PMID 25307894›Full record

ArticleCritical care (London, England)2014

Automated patient-ventilator interaction analysis during neurally adjusted non-invasive ventilation and pressure support ventilation in chronic obstructive pulmonary disease.

Jonne Doorduin, Christer A Sinderby, Jennifer Beck, Johannes G van der Hoeven, Leo M A Heunks

Abstract readComparative Study
In one paragraph

Article in Critical care (London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
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  7. Article
  8. Review
  9. Clinical review of non-invasive ventilation.The European respiratory journal · 2024
    Review
  10. Article
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  12. Article
  13. Article
  14. Control of respiratory drive by extracorporeal COCritical care (London, England) · 2019
    Article
  15. Review
  16. How should we monitor patients with acute respiratory failure treated with noninvasive ventilation?European respiratory review : an official journal of the European Respiratory Society · 2018
    Review
  17. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jonne Doorduin
Christer A Sinderby
Jennifer Beck
Johannes G van der Hoeven
Leo M A Heunks

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDelivering synchronous assist during non-invasive ventilation (NIV) is challenging with flow- or pressure-controlled ventilators, especially in patients with chronic obstructive pulmonary disease (COPD). Neurally adjusted ventilatory assist (NAVA) uses diaphragm electrical activity (EAdi) to control the ventilator. We evaluated patient-ventilator interaction in patients with COPD during NIV with pressure support ventilation (PSV) and NAVA using a recently introduced automated analysis.

methodsTwelve COPD patients underwent three 30-minute trials: 1) PSV with dedicated NIV ventilator (NIV-PSVVision), 2) PSV with intensive care unit (ICU) ventilator (NIV-PSVServo-I), and 3) with NIV-NAVA. EAdi, flow, and airway pressure were recorded. Patient-ventilator interaction was evaluated by comparing airway pressure and EAdi waveforms with automated computer algorithms. The NeuroSync index was calculated as the percentage of timing errors between airway pressure and EAdi.

resultsThe NeuroSync index was higher (larger error) for NIV-PSVVision (24 (IQR 15 to 30) %) and NIV-PSVServo-I (21 (IQR 15 to 26) %) compared to NIV-NAVA (5 (IQR 4 to 7) %; P <0.001). Wasted efforts, trigger delays and cycling-off errors were less with NAVA (P <0.05 for all). The NeuroSync index and the number of wasted efforts were strongly correlated (r2 = 0.84), with a drastic increase in wasted efforts after timing errors reach 20%.

conclusionsIn COPD patients, non-invasive NAVA improves patient-ventilator interaction compared to PSV, delivered either by a dedicated or ICU ventilator. The automated analysis of patient-ventilator interaction allowed for an objective detection of patient-ventilator interaction during NIV. In addition, we found that progressive mismatch between neural effort and pneumatic timing is associated with wasted efforts.

Indexed as

AdultAgedAlgorithmsFemaleHumansIntensive Care UnitsInteractive Ventilatory SupportIntermittent Positive-Pressure VentilationMaleMiddle AgedNoninvasive VentilationPulmonary Disease, Chronic ObstructiveRespiration

Identifiers

PMID25307894
PMCPMC4207887

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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.