Clinical Research Directory

The Effect of Autonomic Neuropathy Status on the Endpoint Events in Diabetes Patients With Coronary Heart Disease and Sleep Apnea.

Background: diabetes combined with cardiac autonomic neuropathy (CAN) can denervate the heart, which may prevent patients with sleep apnea syndrome from bradycardia in the early stage, and directly show an increased risk of tachyarrhythmia and sudden cardiac death. This means that many diabetes patients with sleep apnea syndrome who are at risk of sudden death may be ignored due to the lack of the typical signal of "bradycardia". A study showed 299 events among 165 participants, of which 132 participants (10%) had CAN and experienced 244 cardiovascular events, and 33 participants (25%) had CAN and experienced 55 cardiovascular events (hazard ratio \[HR\] 2.79, 95% CI 1.91). In this trial, the effect of autonomic neuropathy on the end point events of type 2 diabetes patients with coronary heart disease and sleep apnea was investigated. Objective: This study is a prospective, single-center, observational study to investigate the effect of autonomic neuropathy status on the endpoint events in patients with coronary heart disease, diabetes, and sleep apnea syndrome. Methods : Diagnosed coronary heart disease (coronary angiography showed coronary artery stenosis ≥ 50%), diabetes (fasting blood glucose ≥ 7 mmol/L, blood glucose ≥ 11.1 mmol/L 2 hours after OGTT meal, HbA1c ≥ 6.5%, or random blood glucose ≥ 11.1 mmol/L), sleep apnea syndrome (≥ 5 apnea or hypoventilation events per hour during sleep (AHI ≥ 5 times/hour), and associated symptoms or health risks. ）The patient. The Ewing test was divided into two groups: the group without concomitant cardiac autonomic neuropathy and the group with cardiac autonomic neuropathy. The primary endpoint includes all-cause mortality events during follow-up, and the secondary endpoint includes the occurrence of cardiovascular events. This study will explore the influence of autonomic neuropathy on the endpoint events of patients with diabetes, coronary heart disease and sleep apnea. Keywords: coronary heart disease, diabetes, sleep apnea syndrome, cardiovascular autonomic neuropathy, results

Impact of Positive Airway Pressure Therapy on Clinical Outcomes in Older Veterans With Chronic Obstructive Pulmonary Disease and Comorbid Obstructive Sleep Apnea (Overlap Syndrome)

Obstructive sleep apnea (OSA) and Chronic Obstructive Pulmonary Disease (COPD) are highly prevalent chronic respiratory diseases in the Veteran population. OSA co-occurring with COPD, known as Overlap Syndrome (OVS), is a complex chronic medical condition associated with grave consequences. OVS is highly prevalent in Veterans. Veterans with OVS may be at increased risk for cognitive deficits, poor sleep quality as well as a reduced quality of life (QoL). The overall objective is to study the effects of positive airway pressure therapy on clinical outcomes in patients with OVS.

Personalised Treatment for OSA

Obstructive sleep apnea (OSA) is a sleep disorder characterized by repetitive episodes of partial or complete obstruction of the upper airway during sleep. Continuous positive airway pressure (CPAP) is a method used as a first-line treatment for obstructive sleep apnea (OSA). However, intolerance and resistance to CPAP can limit its long-term effectiveness. Alternative treatments are available, such as Mandibular Advancement Devices (MADs), positional therapy, upper airway surgery, and maxillomandibular osteotomy. However, often less efficient in reducing the apnea-hypopnea index, the higher tolerance of and compliance to alternative treatment has resulted in the adequate treatment of OSA in CPAP-intolerant patients. This paper describes the protocol of a prospective single-center cohort study including adult patients with moderate to severe OSA (15 events/h ≤ apnea-hypopnea index (AHI) \< 65 events/h) that failed to comply with CPAP therapy. Selected patients will be invited to the clinic to explore alternative treatment options where DISE will be a first step in further identifying upper airway collapse during sleep. By exploring alternative treatment options in CPAP-intolerant patients and systematically documenting their treatment paths, an algorithm can be defined to better guide patients towards personalized treatment for OSA. The follow-up is aimed at 5 years with an inclusion of 170 patients per year, including a drop-out rate of 15%. By leveraging a real-world database, this study aims to bridge the gap between research and clinical practice, facilitating the development of evidence-based guidelines and personalized treatment algorithms for CPAP-intolerant patients.