ERJ Open Res. 2020 Sep 28;6(3). doi: 10.1183/23120541.00023-2020. eCollection 2020 Jul.
Current clinical methods of measurement of respiratory rate give imprecise values.
ERJ open research
Gordon B Drummond, Darius Fischer, D K Arvind
Affiliations
Affiliations
- Dept of Anaesthesia, Critical Care, and Pain Medicine, University of Edinburgh, Edinburgh UK.
- Centre for Speckled Computing, School of Informatics, University of Edinburgh, Edinburgh, UK.
PMID: 33015146
PMCID: PMC7520170 DOI: 10.1183/23120541.00023-2020
Abstract
BACKGROUND: Respiratory rate is a basic clinical measurement used for illness assessment. Errors in measuring respiratory rate are attributed to observer and equipment problems. Previous studies commonly report rate differences ranging from 2 to 6 breaths·min
METHODS: To study why repeated observations should vary so much, we conducted a virtual experiment, using continuous recordings of breathing from acutely ill patients. These records allowed each breathing cycle to be precisely timed. We made repeated random measures of respiratory rate using different sample durations of 30, 60 and 120 s. We express the variation in these repeated rate measurements for the different sample durations as the interquartile range of the values obtained for each subject. We predicted what values would be found if a single measure, taken from any patient, were repeated and inspected boundary values of 12, 20 or 25 breaths·min
RESULTS: When the sample duration was nominally 30 s, the mean interquartile range of repeated estimates was 3.4 breaths·min
CONCLUSIONS: Early warning scores will be unreliable when short sample durations are used to measure respiratory rate. Precision improves with longer sample duration, but this may be impractical unless better measurement methods are used.
Copyright ©ERS 2020.
Conflict of interest statement
Conflict of interest: G.B. Drummond reports a grant from the Edinburgh and Lothians Health Foundation for a previous study, not this one. Conflict of interest: D. Fischer has nothing to disclose. Conf
References
- J Clin Invest. 1928 Oct;6(2):171-85 - PubMed
- Ann Emerg Med. 2002 Mar;39(3):233-7 - PubMed
- Int J Clin Pract. 2016 Oct;70(10):806-824 - PubMed
- Anesthesiology. 2003 Dec;99(6):1249-50 - PubMed
- BMJ Qual Saf. 2017 Oct;26(10):832-836 - PubMed
- Resuscitation. 2013 Feb;84(2):173-8 - PubMed
- Ann Emerg Med. 2013 Jan;61(1):37-43 - PubMed
- Resuscitation. 2016 May;102:1-5 - PubMed
- BMJ. 2010 Jun 23;340:c2289 - PubMed
- Ann Am Thorac Soc. 2014 Nov;11(9):1454-65 - PubMed
- J Clin Monit Comput. 2018 Feb;32(1):109-116 - PubMed
- Cochrane Database Syst Rev. 2007 Jul 18;(3):CD005529 - PubMed
- Eur J Epidemiol. 1987 Sep;3(3):284-7 - PubMed
- J Pharmacol Exp Ther. 1972 Dec;183(3):577-607 - PubMed
- J Adv Nurs. 2009 Oct;65(10):1992-2006 - PubMed
- Eur J Intern Med. 2017 Nov;45:13-19 - PubMed
- Resuscitation. 2018 Jan;122:99-105 - PubMed
- Resuscitation. 2004 Aug;62(2):137-41 - PubMed
- Am J Respir Crit Care Med. 2001 Nov 15;164(10 Pt 1):1914-9 - PubMed
- PLoS One. 2019 Jan 15;14(1):e0210875 - PubMed
- J Appl Physiol (1985). 1988 Jul;65(1):309-17 - PubMed
- Resuscitation. 2014 Mar;85(3):418-23 - PubMed
- Br J Anaesth. 2013 Dec;111(6):971-8 - PubMed
- Respir Med. 2002 Jan;96(1):31-3 - PubMed
- J Clin Epidemiol. 2018 Jun;98:133-143 - PubMed
- J Clin Epidemiol. 2018 Jun;98:89-97 - PubMed
- Chest. 2013 Jun;143(6):1740-1744 - PubMed
- Resuscitation. 2004 Feb;60(2):129-36 - PubMed
- Expert Rev Med Devices. 2019 Feb;16(2):145-154 - PubMed
- Epidemiology. 2010 Jan;21(1):128-38 - PubMed
- Anesthesiology. 2020 Mar;132(3):424-439 - PubMed
- Anesthesiology. 2003 Dec;99(6):1255-62 - PubMed
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