Evidence map›Paper›PMID 28099286›Full record

Observational studyAnesthesia and analgesia2017

Multicenter Study Validating Accuracy of a Continuous Respiratory Rate Measurement Derived From Pulse Oximetry: A Comparison With Capnography.

Sergio D Bergese, Michael L Mestek, Scott D Kelley, Robert McIntyre, Alberto A Uribe, Rakesh Sethi, James N Watson, Paul S Addison

Abstract readComparative StudyMulticenter StudyObservational Study
In one paragraph

Observational study in Anesthesia and analgesia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Non-Contact Monitoring of Inhalation-Exhalation (I:E) Ratio in Non-Ventilated Subjects.IEEE journal of translational engineering in health and medicine · 2024
    Article
  7. Robust Non-Contact Monitoring of Respiratory Rate using a Depth Camera.Journal of clinical monitoring and computing · 2023
    Article
  8. Article
  9. Effects of human tissue acoustic properties, abdominal wall shape, and respiratory motion on ultrasound-mediated hyperthermia for targeted drug delivery to pancreatic tumors.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2022
    Article
  10. Article
  11. Observational
  12. Article
  13. Inhaled COEnvironmental health insights · 2022
    Article
  14. The Effect of rGO-Doping on the Performance of SnONanomaterials (Basel, Switzerland) · 2021
    Article
  15. Article
  16. Article
  17. Review
  18. A Pervasive Respiratory Monitoring Sensor for COVID-19 Pandemic.IEEE open journal of engineering in medicine and biology · 2021
    Article
  19. Review
  20. More on Pulse Oximetry for Monitoring Patients with COVID-19 at Home.Annals of the American Thoracic Society · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Sergio D BergeseFrom the Departments of *Anesthesiology and †Neurological Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio; ‡Respiratory & Monitoring Solutions, Medtronic, Boulder, Colorado; §Department of Surgery, University of Colorado Hospital, Aurora, Colorado; and ‖Respiratory & Monitoring Solutions, Medtronic, Edinburgh, United Kingdom.
Michael L Mestek
Scott D Kelley
Robert McIntyre
Alberto A Uribe
Rakesh Sethi
James N Watson
Paul S Addison

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntermittent measurement of respiratory rate via observation is routine in many patient care settings. This approach has several inherent limitations that diminish the clinical utility of these measurements because it is intermittent, susceptible to human error, and requires clinical resources. As an alternative, a software application that derives continuous respiratory rate measurement from a standard pulse oximeter has been developed. We sought to determine the performance characteristics of this new technology by comparison with clinician-reviewed capnography waveforms in both healthy subjects and hospitalized patients in a low-acuity care setting.

methodsTwo independent observational studies were conducted to validate the performance of the Medtronic Nellcor Respiration Rate Software application. One study enrolled 26 healthy volunteer subjects in a clinical laboratory, and a second multicenter study enrolled 53 hospitalized patients. During a 30-minute study period taking place while participants were breathing spontaneously, pulse oximeter and nasal/oral capnography waveforms were collected. Pulse oximeter waveforms were processed to determine respiratory rate via the Medtronic Nellcor Respiration Rate Software. Capnography waveforms reviewed by a clinician were used to determine the reference respiratory rate.

resultsA total of 23,243 paired observations between the pulse oximeter-derived respiratory rate and the capnography reference method were collected and examined. The mean reference-based respiratory rate was 15.3 ± 4.3 breaths per minute with a range of 4 to 34 breaths per minute. The Pearson correlation coefficient between the Medtronic Nellcor Respiration Rate Software values and the capnography reference respiratory rate is reported as a linear correlation, R, as 0.92 ± 0.02 (P < .001), whereas Lin's concordance correlation coefficient indicates an overall agreement of 0.85 ± 0.04 (95% confidence interval [CI] +0.76; +0.93) (healthy volunteers: 0.94 ± 0.02 [95% CI +0.91; +0.97]; hospitalized patients: 0.80 ± 0.06 [95% CI +0.68; +0.92]). The mean bias of the Medtronic Nellcor Respiration Rate Software was 0.18 breaths per minute with a precision (SD) of 1.65 breaths per minute (healthy volunteers: 0.37 ± 0.78 [95% limits of agreement: -1.16; +1.90] breaths per minute; hospitalized patients: 0.07 ± 1.99 [95% limits of agreement: -3.84; +3.97] breaths per minute). The root mean square deviation was 1.35 breaths per minute (healthy volunteers: 0.81; hospitalized patients: 1.60).

conclusionsThese data demonstrate the performance of the Medtronic Nellcor Respiration Rate Software in healthy subjects and patients hospitalized in a low-acuity care setting when compared with clinician-reviewed capnography. The observed performance of this technology suggests that it may be a useful adjunct to continuous pulse oximetry monitoring by providing continuous respiratory rate measurements. The potential patient safety benefit of using combined continuous pulse oximetry and respiratory rate monitoring warrants assessment.

Indexed as

AdultCapnographyFemaleHospitalizationHumansMaleMiddle AgedOximetryPhotoplethysmographyReproducibility of ResultsRespiratory Rate

Identifiers

PMID28099286
PMCPMC5367492

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.