Loop Gain in the Reversion of OSA Treated by Either CPAP or Cardiac Valve Replacement

Overview

Sleep apnea including obstructive sleep apnea (OSA) and central sleep apnea (CSA), are common in patients with cardiovascular disease. The prevalence of OSA is 2%-4% in general population and 16%-47% in surgical-heart failure patients. The previous studies found that the sleep apnea types shifted from OSA to CSA after continuous positive airway pressure (CPAP) treatment or from CSA to OSA after heart surgery (cardiac valve replacement/ repair or heart transplantation) without the mechanism illuminated clearly. The recent studies found that the loop gain (LG) could predict the effect of upper airway surgery and CPAP treatment on the reversion of OSA. However, in patients with valvular heart disease, whether LG and related parameters can predict the therapeutic efficacy of CPAP or cardiac valve replacement is not expounded clearly. The investigators' previous study found that there were different outcomes of sleep apnea after cardiac valve replacement: elimination or consistent. But the corresponding non-anatomic mechanisms was not clear. The investigators' preliminary experiment showed that the LG and related parameters were not improved while OSA improved by CPAP treatment; however, the recovery of OSA after cardiac valve replacement was closed related to the improvement of LG and related parameters. The investigators speculated that, 1. LG and related parameters could predict OSA outcome of CPAP treatment or cardiac valve replacement. 2. non-anatomic mechanisms including LG and associated parameters, contributed to CPAP treatment and cardiac valve replacement were different. In this study, the investigators aimed to explore the relationship between LG and, outcomes of OSA and the regarding non-anatomic mechanisms in patient with heart valve disease.

Between January 31, 2020 and June 30, 2023, 300 patients with valvular heart disease waiting for cardiac valve replacement in Department of Cardiovascular Surgery were screened for obstructive sleep apnea (OSA) by full-night polysomnography. Of them, 40 OSA patients were enrolled and randomly received CPAP treatment and non-CPAP treatment (20:20). The CPAP treatment group received both baseline medicine and CPAP treatment. The full-night CPAP treatment was conducted from 21:00 pm to 6:00 am for 7 days preoperatively. The non-CPAP treatment group received baseline medicine treatment. LG and related parameters were collected at the first day of treatment in non-CPAP group and both first and last day of treatment in CPAP group. Sleep parameters including apnea-hypopnea index (AHI), mean and lowest SPO2, and clinical evaluations including New York Heart Association (NYHA) classes, electrocardiographic, echocardiographic, arterial blood gas analysis findings, baseline medication, and 6-minute walk test were recorded. Operation related parameters (duration of operation, duration of cardiopulmonary bypass and bleeding volume) were recorded. Postoperative adverse events such as duration of ICU stay, postoperative duration of mechanical ventilation, pacemaker use, complicated infection and reintubations were recorded. A full-night polysomnography as well as LG and related parameters were re-examined before discharge from hospital. The changes of AHIs, mean and lowest SPO2, LG and related parameters between pre- and post-operative polysomnography parameters were calculated. The correlation between changes of polysomnography and LG parameters pre- and post-CPAP in CPAP group were analyzed. The correlation between changes of polysomnography and LG parameters pre- and post-operative in both CPAP and non-CPAP group were analyzed. The differences of polysomnography and LG parameters, and post-operative adverse events between CPAP and non-CPAP treatment group were analyzed.