Blood glucose dynamics during sleep in patients with obstructive sleep apnea and normal glucose tolerance: effects of CPAP therapy

Clinical outcomes and plaque characteristics in patients with coronary artery disease and concomitant sleep-disordered breathing treated by continuous positive airway pressure

BACKGROUND

Sleep-disordered breathing (SDB) is a risk factor for recurrent adverse events in patients with coronary artery disease (CAD). However, the prognosis of continuous positive alveolar pressure (CPAP) treatment for SDB with CAD remains unknown.

METHODS

A total of 281 consecutive patients with stable CAD requiring percutaneous coronary intervention (PCI) were included and classified into three groups according to the concomitance of SDB and CPAP treatment (untreated SDB group, n = 61; CPAP-SDB group, n = 24; and non-SDB group, n = 138). The incidence of major adverse cardiac and cerebrovascular events (MACCEs) within a year after PCI was compared between the three groups. The characteristics of the culprit plaques, including macrophage accumulation, were further assessed using optical coherence tomography.

RESULTS

The incidence of MACCEs was significantly different among the three groups (p = 0.037), with the highest incidence in the untreated-SDB group (22.9%) and 8.3% and 10.1% in the CPAP-SDB and non-SDB groups, respectively. The incidence of MACCEs at 1 year was significantly lower in patients with appropriate CPAP use than that in inadequately treated patients with SDB (0.0 vs. 22.5%, p = 0.048). Macrophage accumulation differed significantly among the three groups, with the highest accumulation in the untreated SDB group.

CONCLUSIONS

CPAP treatment for SDB may be associated with a lower incidence of MACCEs following PCI and a lower prevalence of macrophages in the culprit plaques.

Novel Device Used to Monitor Hand Tremors during Nocturnal Hypoglycemic Events

Diabetes is one of the lifelong diseases that require systematic medical care to avoid life-menacing ramifications. Uncontrolled diabetes can cause severe damage to most internal body organs, probably leading to death. Particularly, nocturnal hypoglycemic that occur usually at night during sleep. Severe cases of these events can lead to seizures, fainting, loss of consciousness, and death. The current medical devices lack to give the warning to reduce the risk of acquiring nocturnal hypoglycemic events because they use only for glucose monitoring during waking times. Consequently, the main goal of this work is to design and implement a new wearable device to detect and monitor tremors, which occur when a user has hypoglycemia (low blood sugar). The device can detect a frequency range of 4–12 Hz by using the accelerometer of Arduino Nano 33 BLE. It can send a signal to the phone application (app) via Bluetooth Low Energy (BLE). Once the phone receives a signal, the phone application can activate an alarm system to wake up the patient, call three selected contacts number, and universal emergency number. In case of the user is unresponsive, the app can provide the patient’s location, name, and date of birth to the emergency contacts numbers and universal emergency number. Additionally, the device cost is economically feasible and competitive compared to other medical devices.