Observational studyAnesthesia and analgesia2017
Multicenter Study Validating Accuracy of a Continuous Respiratory Rate Measurement Derived From Pulse Oximetry: A Comparison With Capnography.
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.
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.
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.
Who cites it
30 citing papers in PubMed.
- A flexible piezoelectric sensor for non-contact monitoring of respiratory and heart rates: accuracy and clinical feasibility under simulated dental treatment conditions.Clinical oral investigations · 2026Article
- Noninvasive Measurement of Infant Respiration During Sleep: A Validation Study.Sensors (Basel, Switzerland) · 2026Article
- Evaluating a ballistocardiography derived respiratory rate algorithm through comprehensive clinical validation across multiple settings.Scientific reports · 2026Article
- Clinical Validation of Respiratory Rate Estimation Using Acoustic Signals from a Wearable Device.Journal of clinical medicine · 2024Article
- Measurement accuracy of a microwave doppler sensor beneath the mattress as a continuous respiratory rate monitor: a method comparison study.Journal of clinical monitoring and computing · 2024Observational
- Non-Contact Monitoring of Inhalation-Exhalation (I:E) Ratio in Non-Ventilated Subjects.IEEE journal of translational engineering in health and medicine · 2024Article
- Robust Non-Contact Monitoring of Respiratory Rate using a Depth Camera.Journal of clinical monitoring and computing · 2023Article
- Methods for calculating ventilation rates during resuscitation from out-of-hospital cardiac arrest.Resuscitation · 2023Article
- 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 · 2022Article
- A capaciflector provides continuous and accurate respiratory rate monitoring for patients at rest and during exercise.Journal of clinical monitoring and computing · 2022Article
- Evaluation of respiratory rate monitoring using a microwave Doppler sensor mounted on the ceiling of an intensive care unit: a prospective observational study.Journal of clinical monitoring and computing · 2022Observational
- Patient experience and healthcare utilization for a COVID-19 telemedicine home monitoring program offered in English and Spanish.PloS one · 2022Article
- Inhaled COEnvironmental health insights · 2022Article
- The Effect of rGO-Doping on the Performance of SnONanomaterials (Basel, Switzerland) · 2021Article
- Wearable sensor derived decompensation index for continuous remote monitoring of COVID-19 diagnosed patients.NPJ digital medicine · 2021Article
- Validation of a New Contactless and Continuous Respiratory Rate Monitoring Device Based on Ultra-Wideband Radar Technology.Sensors (Basel, Switzerland) · 2021Article
- Noncontact Respiratory Monitoring Using Depth Sensing Cameras: A Review of Current Literature.Sensors (Basel, Switzerland) · 2021Review
- A Pervasive Respiratory Monitoring Sensor for COVID-19 Pandemic.IEEE open journal of engineering in medicine and biology · 2021Article
- The Importance of Respiratory Rate Monitoring: From Healthcare to Sport and Exercise.Sensors (Basel, Switzerland) · 2020Review
- More on Pulse Oximetry for Monitoring Patients with COVID-19 at Home.Annals of the American Thoracic Society · 2020Article
Corrections and comments
- Commented on byIn Response.2017
- Commented on by
- Commented on byIn Response.2017
- Commented on by
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.