Timely prediction of impending respiratory failure is vital, yet relies on subjective clinical assessment of the patient's respiratory status. Pulse oximetry plethysmographic signal analysis is indicative of the effort to breathe and may provide an objective measurement of respiratory loading.
Initiating invasive mechanical ventilation is a vital and delay-critical decision. Precise and timely prediction of impending respiratory failure would be highly consequential. Subjective evaluation of respiratory loading conditions is inconsistent, imprecise and may result in erroneous management. Photoplethysmographic (POP) waveform analysis provides a non-invasive, readily available tool to estimate breathing effort in a semiquantitative fashion. It is the aim of this study to examine: 1. if the degree of dyspnoea, when clinically assessed by means of the respiratory rate and SpO2 values, correlates with the SpO2 wave variations (ΔPOP) in ICU spontaneously breathing COVID-19 and non-COVID-19 patients. 2. if a ΔPOP threshold could be identified to adequately predict further need of orotracheal intubation and invasive mechanical ventilation. This study consists of three main steps: 1. Clinical evaluation of dyspnoea based on: 1.1. Respiratory rate 1.2. Oxygen saturation (SpO2) 2. Storage of SpO2 curve for ΔPOP computation according to a proprietary algorithm after offline POP analysis . 3. Within a time frame of 10 days from when the first two steps are met, monitor for need of invasive ventilatory support.
Study Type
OBSERVATIONAL
Enrollment
60
In both groups, pulse oximeters provide continuous monitoring of oxygen saturation (SpO2). Also, SpO2 curve can be recorded for off-line analysis.
ECG signal is used to monitor respiratory rate (RR).
Clinical Emergency Hospital Bucharest
Bucharest, Romania
Clinical Hospital of Infectious and Tropical Diseases "Dr. Victor Babes"
Bucharest, Romania
Rate of failure of spontaneous breathing
Number of patients who fail spontaneous breathing (SB). Failure of SB is defined as death or need of invasive mechanical ventilation whereas SB includes any form of non-invasive ventilatory support
Time frame: Day 10
Respiratory rate
Patient's respiratory rate during non-invasive respiratory support as derived from an ECG signal
Time frame: Day 0
SpO2 under non-invasive respiratory support
Peripheral oxygen saturation (SpO2) as measured with a pulse oximeter during any form of non-invasive ventilatory support
Time frame: Day 0
ΔPOP
Photoplethysmographic variation index following offline computation of the SpO2 curve stored at day 0 according to a proprietary algorithm
Time frame: day 0
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