Evidence map›Paper›PMID 38020176›Full record

ArticleFrontiers in medicine2023

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

Eva Rivas, Manuel López-Baamonde, Josep Sanahuja, Elena Del Rio, Tomeu Ramis, Anna Recasens, Antonio López, Marilyn Arias, Stylianos Kampakis, Timo Lauteslager and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Artificial Intelligence-Driven Soft Bioelectronics for Self-Powered Respiration Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 3 countries.

Eva RivasDepartment of Anesthesia, Hospital Clinic of Barcelona, IDIBAPS, Universidad de Barcelona, Barcelona, Spain.
Manuel López-BaamondeDepartment of Anesthesia, Hospital Clinic of Barcelona, IDIBAPS, Universidad de Barcelona, Barcelona, Spain.
Josep SanahujaDepartment of Anesthesia, Hospital Clinic of Barcelona, IDIBAPS, Universidad de Barcelona, Barcelona, Spain.
Elena Del RioDepartment of Anesthesia, Hospital Clinic of Barcelona, IDIBAPS, Universidad de Barcelona, Barcelona, Spain.
Tomeu RamisDepartment of Anesthesiology and Critical Care, Hosptial Universitary Son Espases, Mallorca, Spain.
Anna RecasensDepartment of Anesthesiology, Hospital del Mar. Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Universitat Autònoma de Barcelona, Barcelona, Spain.
Antonio LópezDepartment of Anesthesia, Hospital Clinic of Barcelona, IDIBAPS, Universidad de Barcelona, Barcelona, Spain.
Marilyn AriasDepartment of Anesthesia, Hospital Clinic of Barcelona, IDIBAPS, Universidad de Barcelona, Barcelona, Spain.
Stylianos KampakisCircadia Technologies, Ltd., London, United Kingdom.
Timo LauteslagerCircadia Technologies, Ltd., London, United Kingdom.
Osama AwaraCircadia Technologies, Ltd., London, United Kingdom.
Edward J MaschaDepartment of Outcomes Research, Cleveland Clinic, Cleveland, OH, United States.
Alex SorianoDepartment of Infectious Disease, Hospital Clinic of Barcelona, IDIBAPS, Universidad de Barcelona, CIBERINF, Barcelona, Spain.
Joan Ramon BadíaDepartment of Pneumology, Hospital Clinic of Barcelona, IDIBAPS, Universidad de Barcelona, Barcelona, Spain.
Pedro CastroMedical Intensive Care Unit, Hospital Clinic of Barcelona, IDIBAPS, Universidad de Barcelona, Barcelona, Spain.
Daniel I SesslerDepartment of Outcomes Research, Cleveland Clinic, Cleveland, OH, United States.
Hospital Clínic de Barcelona · ESCircassia Pharmaceuticals (United Kingdom) · GBUniversitat de Barcelona · ESCleveland Clinic · USConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESHospital Universitario Son Espases · ESUniversitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Indexed as

continuous monitoringCOVID-19hospitalization wardrespiratory failurerespiratory rate

Identifiers

PMID38020176
PMCPMC10645134
OpenAlexW4388074514

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.