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Clinical indicators associated with successful tracheostomy cuff deflation

Overview of attention for article published in Australian critical care : official journal of the Confederation of Australian Critical Care Nurses., February 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Title
Clinical indicators associated with successful tracheostomy cuff deflation
Published in
Australian critical care : official journal of the Confederation of Australian Critical Care Nurses., February 2016
DOI 10.1016/j.aucc.2016.01.002
Pubmed ID
Authors

Lee N. Pryor, Elizabeth C. Ward, Petrea L. Cornwell, Stephanie N. O’Connor, Marianne J. Chapman

Abstract

Tracheostomy cuff deflation is a necessary stage of the decannulation pathway, yet the optimal clinical indicators to guide successful cuff deflation are unknown. The study aims were to identify (1) the proportion of patients tolerating continuous cuff deflation at first attempt; (2) the clinical observations associated with cuff deflation success or failure, including volume of above cuff secretions and (3) the predictive capacity of these observations within a heterogeneous cohort. A retrospective review of 113 acutely tracheostomised patients with a subglottic suction tube in situ was conducted. Ninety-five percent of patients (n=107) achieved continuous cuff deflation on the first attempt. The clinical observations recorded as present in the 24h preceding cuff deflation included: (1) medical stability, (2) respiratory stability, (3) fraction of inspired oxygen ≤0.4, (4) tracheal suction ≤1-2 hourly, (5) sputum thin and easy to suction, (6) sputum clear or white, (7) ≥moderate cough strength, (8) above cuff secretions ≤1ml per hour and (9) alertness≥eyes open to voice. Using the presence of all 9 indicators as predictors of successful cuff deflation tolerance, specificity and positive predictive value were 100%, although sensitivity was only 77% and negative predictive value 19%. Refinement to a set of 3 clinically driven criteria (medical and respiratory stability, above cuff secretions ≤1ml/h) provided high specificity (100%), sensitivity (95%), positive predictive value (100%) and an improved negative predictive value (55%). Key criteria can help guide clinical decision-making on patient readiness for cuff deflation.

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X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 16%
Other 9 12%
Student > Ph. D. Student 9 12%
Student > Postgraduate 7 10%
Student > Bachelor 4 5%
Other 12 16%
Unknown 20 27%
Readers by discipline Count As %
Medicine and Dentistry 25 34%
Nursing and Health Professions 16 22%
Neuroscience 3 4%
Business, Management and Accounting 1 1%
Agricultural and Biological Sciences 1 1%
Other 5 7%
Unknown 22 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 October 2016.
All research outputs
#3,555,242
of 25,373,627 outputs
Outputs from Australian critical care : official journal of the Confederation of Australian Critical Care Nurses.
#221
of 809 outputs
Outputs of similar age
#53,647
of 313,053 outputs
Outputs of similar age from Australian critical care : official journal of the Confederation of Australian Critical Care Nurses.
#2
of 7 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 809 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,053 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.