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Continuous monitoring is superior to manual measurements in detecting vital sign deviations in patients with COVID-19.
Grønbaek, Katja Kjaer; Rasmussen, Søren Møller; Langer, Natasha Hemicke; Vincentz, Mette; Oxbøll, Anne-Britt; Søgaard, Marlene; Awada, Hussein Nasser; Jensen, Tomas O; Jensen, Magnus Thorsten; Sørensen, Helge B D; Aasvang, Eske Kvanner; Meyhoff, Christian Sylvest.
  • Grønbaek KK; Department of Anaesthesia and Intensive Care, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark.
  • Rasmussen SM; Biomedical Signal Processing and AI Group, Digital Health Section, Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark.
  • Langer NH; Department of Anaesthesia and Intensive Care, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark.
  • Vincentz M; Department of Anesthesiology, Center for Cancer and Organ Disease, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
  • Oxbøll AB; Department of Anaesthesia and Intensive Care, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark.
  • Søgaard M; Department of Anaesthesia and Intensive Care, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark.
  • Awada HN; Department of Anesthesiology, Center for Cancer and Organ Disease, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
  • Jensen TO; Department of Pulmonary and Infectious Diseases, Copenhagen University Hospital - North Zealand Hospital, Copenhagen, Denmark.
  • Jensen MT; Center of Excellence for Health, Immunity, and Infections, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
  • Sørensen HBD; Department of Cardiology, Copenhagen University Hospital Amager and Hvidovre Hospital, Copenhagen, Denmark.
  • Aasvang EK; Biomedical Signal Processing and AI Group, Digital Health Section, Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark.
  • Meyhoff CS; Department of Anesthesiology, Center for Cancer and Organ Disease, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
Acta Anaesthesiol Scand ; 67(5): 640-648, 2023 05.
Article in English | MEDLINE | ID: covidwho-2261348
ABSTRACT

BACKGROUND:

Patients admitted to the emergency care setting with COVID-19-infection can suffer from sudden clinical deterioration, but the extent of deviating vital signs in this group is still unclear. Wireless technology monitors patient vital signs continuously and might detect deviations earlier than intermittent measurements. The aim of this study was to determine frequency and duration of vital sign deviations using continuous monitoring compared to manual measurements. A secondary analysis was to compare deviations in patients admitted to ICU or having fatal outcome vs. those that were not.

METHODS:

Two wireless sensors continuously monitored (CM) respiratory rate (RR), heart rate (HR), and peripheral arterial oxygen saturation (SpO2 ). Frequency and duration of vital sign deviations were compared with point measurements performed by clinical staff according to regional guidelines, the National Early Warning Score (NEWS).

RESULTS:

SpO2 < 92% for more than 60 min was detected in 92% of the patients with CM vs. 40% with NEWS (p < .00001). RR > 24 breaths per minute for more than 5 min were detected in 70% with CM vs. 33% using NEWS (p = .0001). HR ≥ 111 for more than 60 min was seen in 51% with CM and 22% with NEWS (p = .0002). Patients admitted to ICU or having fatal outcome had longer durations of RR > 24 brpm (p = .01), RR > 21 brpm (p = .01), SpO2 < 80% (p = .01), and SpO2 < 85% (p = .02) compared to patients that were not.

CONCLUSION:

Episodes of desaturation and tachypnea in hospitalized patients with COVID-19 infection are common and often not detected by routine measurements.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Acta Anaesthesiol Scand Year: 2023 Document Type: Article Affiliation country: Aas.14221

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Acta Anaesthesiol Scand Year: 2023 Document Type: Article Affiliation country: Aas.14221