According to this multi-center study results, patients hospitalized with COVID-19 who coughed 3.4 times per hour or less based on digital cough monitoring faced a greater risk for intubation or death.
This multi-site study investigates the potential of digital cough sounds as predictive biomarkers for clinical outcomes in hospitalized COVID-19 patients. It aims to determine if the acoustic properties of coughs can predict the severity and progression of the disease.
Methodology: The authors utilized digital cough recordings from hospitalized COVID-19 patients using Hyfe's cough detection and monitoring platform. Advanced acoustic analysis techniques were applied to these recordings to identify specific characteristics or patterns associated with different clinical outcomes.
Implications for Healthcare:
The study concludes that digital cough monitoring holds promise as a non-invasive, efficient, and effective way to predict clinical outcomes in COVID-19 patients. This innovative approach could enhance patient management and treatment strategies in the ongoing fight against COVID-19.