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Single-Breath Counting Test Predicts Non-Invasive Respiratory Support Requirements in Patients with COVID-19 Pneumonia.

Authors :
Longhitano Y
Zanza C
Romenskaya T
Saviano A
Persiano T
Leo M
Piccioni A
Betti M
Maconi A
Pindinello I
Boverio R
Rello J
Franceschi F
Racca F
Source :
Journal of clinical medicine [J Clin Med] 2021 Dec 29; Vol. 11 (1). Date of Electronic Publication: 2021 Dec 29.
Publication Year :
2021

Abstract

The use of non-invasive respiratory strategies (NIRS) is crucial to improve oxygenation in COVID-19 patients with hypoxemia refractory to conventional oxygen therapy. However, the absence of respiratory symptoms may delay the start of NIRS. The aim of this study was to determine whether a simple bedside test such as single-breath counting test (SBCT) can predict the need for NIRS in the 24 h following the access to Emergency Department (ED). We performed a prospective observational study on 120 patients with COVID-19 pneumonia. ROC curves were used to analyze factors which might predict NIRS requirement. We found that 36% of patients had normal respiratory rate and did not experience dyspnea at rest. 65% of study population required NIRS in the 24 h following the access to ED. NIRS-requiring group presented lower PaO <subscript>2</subscript> /FiO <subscript>2</subscript> (235.09 vs. 299.02), SpO <subscript>2</subscript> /FiO <subscript>2</subscript> ratio (357.83 vs. 431.07), PaCO <subscript>2</subscript> (35.12 vs. 40.08), and SBCT (24.46 vs. 30.36) and showed higher incidence of dyspnea at rest (57.7% vs. 28.6%). Furthermore, SBCT predicted NIRS requirement even in the subgroup of patients without respiratory symptoms (AUC = 0.882, cut-off = 30). SBCT might be a valuable tool for bedside assessment of respiratory function in patients with COVID-19 pneumonia and might be considered as an early clinical sign of impending respiratory deterioration.

Details

Language :
English
ISSN :
2077-0383
Volume :
11
Issue :
1
Database :
MEDLINE
Journal :
Journal of clinical medicine
Publication Type :
Academic Journal
Accession number :
35011920
Full Text :
https://doi.org/10.3390/jcm11010179