Abstract
BackgroundIndividuals with chronic obstructive pulmonary disease (COPD) commonly experience exacerbations, which may require hospital admission. Early detection of exacerbations, and therefore early treatment, could be crucial in preventing admission and improving outcomes. Our previous research has demonstrated that the pattern analysis of peripheral oxygen saturation (SpO2) fluctuations provides novel insights into the engagement of the respiratory control system in response to physiological stress (hypoxia). Therefore, this pilot study tested the hypothesis that the pattern of SpO2 variations in overnight recordings of individuals with COPD would distinguish between stable and exacerbation phases of the disease.MethodsOvernight pulse oximetry data from 11 individuals with COPD, who exhibited exacerbation after a period of stable disease, were examined. Stable phase recordings were conducted overnight and one night prior to exacerbation recordings were also analyzed. Pattern analysis of SpO2 variations was carried examined using sample entropy (for assessment of irregularity), the multiscale entropy (complexity), and detrended fluctuation analysis (self‐similarity).ResultsSpO2 variations displayed a complex pattern in both stable and exacerbation phases of COPD. During an exacerbation, SpO2 entropy increased (p = 0.029) and long‐term fractal‐like exponent (α2) decreased (p = 0.002) while the mean and standard deviation of SpO2 time series remained unchanged. Through ROC analyses, SpO2 entropy and α2 were both able to classify the COPD phases into either stable or exacerbation phase. With the best positive predictor value (PPV) for sample entropy (PPV = 70%) and a cut‐off value of 0.454. While the best negative predictor value (NPV) was α2 (NPV = 78%) with a cut‐off value of 1.00.ConclusionAlterations in SpO2 entropy and the fractal‐like exponent have the potential to detect exacerbations in COPD. Further research is warranted to examine if SpO2 variability analysis could be used as a novel objective method of detecting exacerbations.
Highlights
Chronic obstructive pulmonary disease (COPD) is a global health burden estimated to affect 251 million people worldwide and carries with it high mortality (Husebø et al, 2014; Mathers & Loncar, 2006)
Using a network physiology approach, we have demonstrated that SpO2 fluctuations are not random and contain useful information about the engagement of respiratory control during hypoxia (Jiang et al, 2021)
We reported that SpO2 entropy, but not absolute or mean SpO2, was correlated with the perception of breathlessness in the same, otherwise healthy, individuals when hypoxic
Summary
Chronic obstructive pulmonary disease (COPD) is a global health burden estimated to affect 251 million people worldwide and carries with it high mortality (Husebø et al, 2014; Mathers & Loncar, 2006). Patients report that exacerbations are the most disruptive aspect of living with COPD (Zhang et al, 2018) This often leads to hospital admissions; with poor prognosis (Al Rajeh et al, 2020). Our previous research has demonstrated that the pattern analysis of peripheral oxygen saturation (SpO2) fluctuations provides novel insights into the engagement of the respiratory control system in response to physiological stress (hypoxia). This pilot study tested the hypothesis that the pattern of SpO2 variations in overnight recordings of individuals with COPD would distinguish between stable and exacerbation phases of the disease. Further research is warranted to examine if SpO2 variability analysis could be used as a novel objective method of detecting exacerbations
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