Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Oct 31:10:1243050.
doi: 10.3389/fmed.2023.1243050. eCollection 2023.

Early detection of deterioration in COVID-19 patients by continuous ward respiratory rate monitoring: a pilot prospective cohort study

Affiliations

Early detection of deterioration in COVID-19 patients by continuous ward respiratory rate monitoring: a pilot prospective cohort study

Eva Rivas et al. Front Med (Lausanne). .

Abstract

Background: Tachypnea is among the earliest signs of pulmonary decompensation. Contactless continuous respiratory rate monitoring might be useful in isolated COVID-19 patients admitted in wards. We therefore aimed to determine whether continuous monitoring of respiratory patterns in hospitalized patients with COVID-19 predicts subsequent need for increased respiratory support.

Methods: Single-center pilot prospective cohort study in COVID-19 patients who were cared for in routine wards. COVID-19 patients who had at least one escalation of pulmonary management were matched to three non-escalated patients. Contactless respiratory monitoring was instituted after patients enrolled, and continued for 15 days unless hospital discharge, initiation of invasive mechanical ventilation, or death occurred. Clinicians were blinded to respiratory rate data from the continuous monitor. The exposures were respiratory features over rolling periods of 30 min, 24 h, and 72 h before respiratory care escalation. The primary outcome was a subsequent escalation in ventilatory support beyond a Venturi mask.

Results: Among 125 included patients, 13 exhibited at least one escalation and were each matched to three non-escalated patients. A total of 28 escalation events were matched to 84 non-escalation episodes. The 30-min mean respiratory rate in escalated patients was 23 breaths per minute (bpm) ranging from 13 to 40 bpm, similar to the 22 bpm in non-escalated patients, although with less variability (range 14 to 31 bpm). However, higher respiratory rate variability, especially skewness over 1 day, was associated with higher incidence of escalation events. Our overall model, based on continuous data, had a moderate accuracy with an AUC 0.81 (95%CI: 0.73, 0.88) and a good specificity 0.93 (95%CI: 0.87, 0.99).

Conclusion: Our pilot observational study suggests that respiratory rate variability as detected with continuous monitoring is associated with subsequent care escalation during the following 24 h. Continuous respiratory monitoring thus appears to be a valuable increment over intermittent monitoring.

Strengths and limitations: Our study was the initial evaluation of Circadia contactless respiratory monitoring in COVID-19 patients who are at special risk of pulmonary deterioration. The major limitation is that the analysis was largely post hoc and thus needs to be confirmed in an out-of-sample population.

Keywords: COVID-19; continuous monitoring; hospitalization ward; respiratory failure; respiratory rate.

PubMed Disclaimer

Conflict of interest statement

SK, TL, and OA were employed by Circadia Technologies, Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The authors declare that this study received funding from Circadia Technologies, Ltd. The funder had the following involvement in the study: SK is a Circadia employee and did the statistical analysis. TL is also a Circadia employee and helped interpret the data and reviewed and revised the manuscript.

Figures

Figure 1
Figure 1
Subject selection flow chart.
Figure 2
Figure 2
Forest plot of respiratory rate features odds ratio (95% confidence intervals) of being associated with an escalation event within 24 h thereafter. Higher values indicate higher odds of escalation. All units are in breaths per minute, except respiratory trend (breaths per minute per day).
Figure 3
Figure 3
Receiver operating characteristics curve for full model.

References

    1. World Health Organization . (2022). WHO coronavirus disease dashboard. Available at: https://covid19.who.int/ [Accessed August 16, 2022]
    1. Zhou F, Yu T, du R, Fan G, Liu Y, Liu Z, et al. . Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. (2020) 395:1054–62. doi: 10.1016/S0140-6736(20)30566-3, PMID: - DOI - PMC - PubMed
    1. Singer AJ, Morley EJ, Meyers K, Fernandes R, Rowe AL, Viccellio P, et al. . Cohort of four thousand four hundred four persons under investigation for COVID-19 in a New York hospital and predictors of ICU care and ventilation. Ann Emerg Med. (2020) 76:394–404. doi: 10.1016/J.ANNEMERGMED.2020.05.011, PMID: - DOI - PMC - PubMed
    1. Liu J, Xie W, Wang Y, Xiong Y, Chen S, Han J, et al. . A comparative overview of COVID-19, MERS and SARS: Review article. Int J Surg. (2020) 81:1–8. doi: 10.1016/J.IJSU.2020.07.032 - DOI - PMC - PubMed
    1. Smith MEB, Chiovaro JC, O’neil M, Kansagara D, Quiñones AR, Freeman M, et al. . SYSTEMATIC REVIEW early warning system scores for clinical deterioration in hospitalized patients: a Systematic Review. Ann Am Thorac Soc. (2014) 11:1454–65. doi: 10.1513/AnnalsATS.201403-102OC, PMID: - DOI - PubMed

LinkOut - more resources