The diagnostic value of pulse oximetry with data transmission via a smartphone for the diagnosis of respiratory disorders in chronic heart failure

Abstract Funding Acknowledgements Type of funding sources: None. Introduction All diagnostic systems used to clarify breathing disorders during sleep are divided into 4 types. The level of evidence for their use depends on the number of recorded parameters and reflects the amount of information obtained during the study. The simplest type includes screening systems that measure the level of blood saturation. The aim of our work was to study the diagnostic value of pulse oximetry as a screening method for the diagnosis of breathing disorders during sleep in patients with chronic heart failure. Materials and methods A comparative study of the two methods included 70 patients (50 men and 20 women), whose average age was 55.5 ± 11.2 years. All patients underwent contact pulse measurement using a smart watch with data sending via a smartphone. In parallel, control was carried out with a resuscitation cardiac monitor. Results When analyzing the distribution of patients into groups according to the number of episodes of a decrease in oxygen saturation by more than 3% during pulse oximetry and during cardiorespiratory monitoring. Thus, less than 5 events per hour were recorded in 16 (22.8%) patients according to pulse oximetry data and in 18 (25.7%) patients according to cardiorespiratory monitoring data; from 5 to 15 events per hour - in 17 (24.2%) patients according to the results of two methods, from 15 to 30 events per hour - 18 (25.7%) and 11 (15.7%) patients, respectively, and more than 30 events per hour - in 16 (22.8%) and 11 (15.7%) patients, while there was no statistically significant difference between the groups. Thus, the sensitivity of the remote pulse oximetry method with the option of transmitting via a smartphone in detecting breathing disorders during sleep of varying severity (the number of episodes more than 5 per hour) was 94.4%. The specificity of the method of computerized pulse oximetry when detecting a sign of the presence of more than 5 events per hour is 79.2%. The predictive value of a positive result was 91.1%, i.e. in patients with a desaturation index of more than 5 events per hour according to pulse oximetry data, respiratory disorders will be confirmed by monitoring with a probability of 91.1%. Conclusions Pulse oximetry with data transmission via a smartphone is an accurate screening diagnostic method among cardiac patients for a broader detection of breathing disorders during sleep.