Evidence map›Paper›PMID 20232044›Full record

ArticleIntensive care medicine2010

Tracheal pressure and endotracheal tube obstruction can be detected by continuous cuff pressure monitoring: in vitro pilot study.

Shai Efrati, Israel Deutsch, Gabriel M Gurman, Matitiau Noff, Giorgio Conti

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Article in Intensive care medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

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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

5 authors.

Shai EfratiResearch and Development Unit, Assaf Harofeh Medical Center, Zerifin, Sackler School of Medicine, Tel-Aviv University, Zerifin, Israel. Efratishai@013.net
Israel Deutsch
Gabriel M Gurman
Matitiau Noff
Giorgio Conti

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate whether the degree of endotracheal tube (ETT) obstruction can be predicted by changes of ETT cuff pressure (P (c)) as a function of peak inspiratory pressure.

methodsThe study was conducted in three phases: phase I evaluated the correlation between peak tracheal pressure (P (tr)) and P (c); phase II evaluated the relation between P (c) versus ventilator pressure (P (v)) and ETT obstruction (range of obstruction 0-58%). In phase III the analytical model developed in phase II was used to predict the degree of obstruction of five ETTs removed from intensive care unit (ICU) patients. All measurements were conducted on a tracheal-lung simulator.

resultsIn phases I and II it was found that P (c) correlates significantly with P (tr). The gradient (dP (c)/dP (v)) reflects the degree of ETT obstruction according to the formula: obstruction (%) = -553 x (dP (c)/dP (v))(2) + 672.5 x (dP (c)/dP (v)) - 142.81. Using this formula, the degree of obstruction of the ETTs could be predicted in ICU patients during controlled mechanical ventilation (r (2) = 0.98, p < 0.001).

conclusionsThis study proposes a new method to predict the degree of ETT obstruction based on differences between P (c) and P (v). The method was proved accurate on simulator, and further studies are needed on intubated patients.

Indexed as

Equipment FailurePressureAlgorithmsHumansInspiratory CapacityIntubation, IntratrachealIn Vitro TechniquesIsraelPilot ProjectsTrachea

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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.