Respiratory rate: the neglected vital sign

Cretikos, Michelle; Bellomo, Rinaldo; Hillman, Ken; Chen, Jack; Finfer, Simon; Flabouris, Arthas

doi:10.5694/j.1326-5377.2008.tb01825.x

Cited by 741 publications

(484 citation statements)

References 18 publications

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“…Essentially, 48 h mortality is 3.4 times higher if there is a rise in RR by 8 breaths/min or more. As an often ignored vital sign, this is an important finding underlining the importance of measuring RR in acute trauma care 23. Of all the Δ variables, ΔHR never achieved AUROC significance, and its dire positive LR suggests very little utility.…”

Section: Discussionmentioning

confidence: 99%

The value of the difference between ED and prehospital vital signs in predicting outcome in trauma

et al. 2013

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Section: Discussionmentioning

confidence: 99%

The value of the difference between ED and prehospital vital signs in predicting outcome in trauma

et al. 2013

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“…While early detection of the deteriorating patient is possible by the use of simple physiological variables, such as respiratory rate,10 11 in-hospital deployment of medical emergency teams as a response has not proven to be effective 12 13. That is, while the deteriorating patient may be detected prior to a health crisis, that detection does not necessarily lead to improved outcomes in the medical emergency teams model.…”

Section: Discussionmentioning

confidence: 99%

What causes adverse events in prehospital care? A human-factors approach

et al. 2012

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BackgroundThe last decade has seen a vast amount of work directed at the investigation of patient harm events. Unfortunately, little of it has pertained to prehospital care and as such, risk remains unquantified and poorly understood in this setting. We hypothesised that adverse patient events occurring during the prehospital phase may fall into discernible patterns, and that an understanding of these patterns would be valuable in the development of mitigation strategies.MethodsA survey tool was developed with reference to the human factors literature. Paramedics in a large Australian ambulance service were asked to recall an adverse event and to nominate factors that may have contributed to its occurrence. Responses were analysed using principal components analysis in order to identify contributory factors that could be statistically grouped together in meaningful patterns.ResultsThe survey yielded 370 responses. Eight key single contributors and 14 groups of contributory factors were identified. Of the groups, only two were strongly associated with serious patient outcomes, such as reported significant deterioration or death.ConclusionsThe deteriorating patient was identified as the leading single contributor to prehospital adverse events, and two perfect storm patient harm scenarios were found to contribute materially to adverse outcomes. This approach to identifying both single factors contributing to an incident and factors which could be grouped together in a pattern, appears useful in delineating risk in the acute prehospital setting, and warrants further exploration in this and other areas of patient safety.

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“…RR of healthy adults in a relax state is about 12–20 times per minute. However, the RR will be abnormal for the OSA case while the sleep breathing becomes slowed or stopped by the apnea [7]. Hence, sleep RR is an early and vital indicator for OSA patients.…”

Section: Introductionmentioning

confidence: 99%

A Novel Sleep Respiratory Rate Detection Method for Obstructive Sleep Apnea Based on Characteristic Moment Waveform

Fang

Jiang

Wang

2018

Journal of Healthcare Engineering

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Obstructive sleep apnea (OSA) affecting human's health is a kind of major breathing-related sleep disorders and sometimes leads to nocturnal death. Respiratory rate (RR) of a sleep breathing sound signal is an important human vital sign for OSA monitoring during whole-night sleeping. A novel sleep respiratory rate detection with high computational speed based on characteristic moment waveform (CMW) method is proposed in this paper. A portable and wearable sound device is used to acquire the breathing sound signal. And the amplitude contrast decreasing has been done first. Then, the CMW is extracted with suitable time scale parameters, and the sleep RR value is calculated by the extreme points of CMW. Experiments of one OSA case and five healthy cases are tested to validate the efficiency of the proposed sleep RR detection method. According to manual counting, sleep RR can be detected accurately by the proposed method. In addition, the apnea sections can be detected by the sleep RR values with a given threshold, and the time duration of the segmentation of the breath can be calculated for detailed evaluation of the state of OSA. The proposed method is meaningful for continued research on the sleep breathing sound signal.

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Respiratory rate: the neglected vital sign

Cited by 741 publications

References 18 publications

The value of the difference between ED and prehospital vital signs in predicting outcome in trauma

The value of the difference between ED and prehospital vital signs in predicting outcome in trauma

What causes adverse events in prehospital care? A human-factors approach

A Novel Sleep Respiratory Rate Detection Method for Obstructive Sleep Apnea Based on Characteristic Moment Waveform

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