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Ann Intensive Care. 2019 Jan 21;9(1):11. doi: 10.1186/s13613-019-0485-z.

Photoplethysmographic determination of the respiratory rate in acutely ill patients: validation of a new algorithm and implementation into a biomedical device.

Author information

1
Réanimation Médicale, LATIM INSERM UMR 1101, CHRU de la Cavale Blanche, Bvd Tanguy-Prigent, 22 rue Camille Desmoulins, 29609, Brest Cedex, France. erwan.lher@chu-brest.fr.
2
Médecine Intensive et Réanimation, CHRU de la Cavale Blanche, Bvd Tanguy-Prigent, 29609, Brest Cedex, France. erwan.lher@chu-brest.fr.
3
Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec, 2725 Ch Ste-Foy, Quebec, QC, G1V 4G5, Canada. erwan.lher@chu-brest.fr.
4
Oxynov Inc, Technopole Brest Iroise, 135 rue Claude Chappe, 29280, Plouzané, France.
5
Réanimation Médicale, LATIM INSERM UMR 1101, CHRU de la Cavale Blanche, Bvd Tanguy-Prigent, 22 rue Camille Desmoulins, 29609, Brest Cedex, France.
6
Médecine Intensive et Réanimation, CHRU de la Cavale Blanche, Bvd Tanguy-Prigent, 29609, Brest Cedex, France.
7
Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec, 2725 Ch Ste-Foy, Quebec, QC, G1V 4G5, Canada.

Abstract

BACKGROUND:

Respiratory rate is among the first vital signs to change in deteriorating patients. The aims of this study were to evaluate the accuracy of respiratory rate measurements using a specifically dedicated reflection-mode photoplethysmographic signal analysis in a pathological condition (PPG-RR) and to validate its implementation within medical devices.

METHODS:

This study is derived from a data mining project, including all consecutive patients admitted to our ICU (ReaSTOC study, ClinicalTrials.gov identifier: NCT02893462). During the evaluation phase of the algorithm, PPG-RR calculations were retrospectively performed on PPG waveforms extracted from the data warehouse and compared with RR reference values. During the prospective phase, PPG-RR calculations were automatically and continuously performed using a dedicated device (FreeO2, Oxynov, Québec, QC, Canada). In all phases, reference RR was measured continuously using electrical thoracic impedance and chronometric evaluation (Manual-RR) over a 30-s period.

RESULTS:

In total, 201 ICU patients' recordings (SAPS II 51.7 ± 34.6) were analysed during the retrospective evaluation phase, most of them being admitted for a respiratory failure and requiring invasive mechanical ventilation. PPG-RR determination was available in 95.5% cases, similar to reference (22 ± 4 vs. 22 ± 5 c/min, respectively; p = 1), and well correlated with reference values (R = 0.952; p < 0.0001), with a low bias (0.1 b/min) and deviation (± 3.5 b/min). Prospective estimation of the PPG-RR on 30 ICU patients' recordings was well correlated with the reference method (Manual-RR; r = 0.78; p < 0.001). Comparison of the methods depicted a low bias (0.5 b/min) and acceptable deviation (< ± 5.5 b/min).

CONCLUSION:

According to our results, PPG-RR is an interesting approach for ventilation monitoring, as this technique would make simultaneous monitoring of respiratory rate and arterial oxygen saturation possible, thus minimizing the number of sensors attached to the patient. Trial registry number ClinicalTrials.gov identifier NCT02893462.

KEYWORDS:

Pulse oximetry; Respiration rate; Respiratory failure

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