Publications by authors named "R T Owens"
Article Synopsis
- Continuous positive airway pressure (CPAP) is primarily prescribed for obstructive sleep apnea (OSA), but many patients still experience respiratory issues or need higher pressures during treatment.
- The study aimed to create predictive models to better forecast CPAP outcomes using both clinical and physiological data, comparing traditional regression methods to more advanced machine learning techniques.
- Results showed that machine learning models, particularly random forest methods that included physiological traits, significantly outperformed traditional regression models in predicting residual apnea-hypopnea index (AHI), highlighting the importance of using diverse data for more accurate predictions in OSA therapy.
BACKGROUND Acute respiratory distress syndrome (ARDS) due to coronavirus 2019 (COVID-19) can result in severe disease requiring mechanical ventilatory support. A subset of these patients, however, demonstrate refractory hypoxemia/hypercarbia requiring veno-venous extracorporeal membrane oxygenation (V-V ECMO) as adjunctive therapy. The primary goal of V-V ECMO is a "bridge" to recovery of native lung function; however, patients may progress to irreversible pulmonary damage requiring lung transplantation.
View Article and Find Full Text PDFBackground And Purpose: Abdominal pain is a leading cause of morbidity for people living with gastrointestinal disease. Whereas the transient receptor potential vanilloid 4 (TRPV4) ion channel has been implicated in the pathogenesis of abdominal pain, the relative paucity of TRPV4 expression in colon-projecting sensory neurons suggests that non-neuronal cells may contribute to TRPV4-mediated nociceptor stimulation.
Experimental Approach: Changes in murine colonic afferent activity were examined using ex vivo electrophysiology in tissues with the gut mucosa present or removed.