Background: Recent studies have suggested that cardiac surgery may affect sleep-disordered breathing (SDB) in chronic heart failure patients. However, the dynamic changes in sleep apnea and heart function after cardiac surgery and the mechanisms responsible for these changes remain unknown.
Methods: Patients with rheumatic valvular heart disease (RVHD) and SDB were enrolled and followed up at three, six and 12 months after cardiac valve replacement (CVR). Baseline and follow-up clinical data consisting of NYHA classification, 6min walk distance (6-MWD), medications, echocardiography, electrocardiography, chest X-ray, arterial blood gas, lung-to-finger circulation time (LFCT), and sleep data were collected and evaluated.
Results: Twenty-four central sleep apnea (CSA) patients and 15 obstructive sleep apnea (OSA) patients completed three follow-up assessments. Comparison of the baseline parameters between OSA patients and CSA patients showed that CSA patients had a worse baseline cardiac function assessed by higher NYHA class, shorter 6-MWD, larger left atrial diameter, longer LFCT, and enhanced chemosensitivity (higher pH and lower arterial carbon dioxide tension (PaCO2)). A continuous significant elevation in 6-MWD and left ventricular ejection fraction and decrease in NYHA class, plasma BNP, and left atrial diameter were found in both CSA and OSA patients. When comparing CSA and OSA patients, the CSA indices were remarkably reduced at month 3 post CVR and sustained throughout the trial, whereas there were no significant decreases in OSA index and hypopnea index. pH values and LFCT were markedly decreased and PaCO2 markedly increased in patients with CSA at the end of the third months following CVR. These changes were sustained until the end of the trial.
Conclusions: CSA patients with RVHD had a worse baseline cardiac function, enhanced chemosensitivity and disordered hemodynamic as compared with OSA patients with RVHD. CSA were eliminated after CVR; however, there were no changes in OSA. The elimination of CSA, post CVR, is associated with the combined efficacies of improvement of cardiac function, normalized chemosensitivity, and stabilized hemodynamic.
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http://dx.doi.org/10.1016/j.sleep.2014.02.007 | DOI Listing |
Cureus
December 2024
Anesthesiology, University of Texas Medical Branch, Galveston, USA.
We report a case of a 39-year-old male patient who developed propofol-induced fasciculations during the induction of general anesthesia. The patient had a history of moderate obstructive sleep apnea and was intolerant to continuous positive airway pressure therapy. He subsequently underwent the insertion of a hypoglossal nerve stimulator as a viable surgical intervention.
View Article and Find Full Text PDFJ Metab Bariatr Surg
December 2024
Department of Surgery, Kosin University, College of Medicine, Busan, Korea.
Purpose: Obesity is a major risk factor for obstructive sleep apnea (OSA), associated with conditions like type 2 diabetes, hypertension, stroke, cancer, and premature death. OSA involves sleep-breathing interruptions, with over 60% of obese individuals diagnosed through polysomnography. This study explores sleep issues in individuals considering bariatric surgery.
View Article and Find Full Text PDFSleep Biol Rhythms
January 2025
Department of Respiratory Medicine, School of Medicine, Fujita Health University, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192 Japan.
The purpose of this study was to evaluate how the first oral administration of suvorexant affects PSG results in patients with severe obstructive sleep apnea (OSA). Single-center, prospective study conducted in a nonrandomized, uncontrolled, unblinded fashion. Undiagnosed 64 patients with suspected OSA underwent first-night PSG, and 30 patients with severe OSA (Apnea Hypopnea Index [AHI] ≥ 30 events/h) underwent second-night PSG testing after administration of 15 mg suvorexant.
View Article and Find Full Text PDFNat Sci Sleep
January 2025
Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, People's Republic of China.
Purpose: To develop a deep learning (DL) model for obstructive sleep apnea (OSA) detection and severity assessment and provide a new approach for convenient, economical, and accurate disease detection.
Methods: Considering medical reliability and acquisition simplicity, we used electrocardiogram (ECG) and oxygen saturation (SpO) signals to develop a multimodal signal fusion multiscale Transformer model for OSA detection and severity assessment. The proposed model comprises signal preprocessing, feature extraction, cross-modal interaction, and classification modules.
J Cardiothorac Surg
January 2025
Department of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Background: Continuous Positive Airway Pressure (CPAP) treatment brings more benefits than risks to most coronary heart disease (CHD) patients with obstructive sleep apnea (OSA). However, the pathophysiological mechanism by which CPAP treatment improves the prognosis of patients with CHD and OSA remains unclear. The purpose of this study was to clarify whether CPAP can improve arterial stiffness and inflammatory factor levels in CHD patients with OSA, and to further improve prognosis.
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