Results 81 to 90 of about 800,724 (403)

Sleep Deprivation Activates a Conserved Lactate‐H3K18la‐RORα Axis Driving Neutrophilic Inflammation Across Species

open access: yesAdvanced Science, EarlyView.
Sleep deprivation triggers systemic immune activation characterized by neutrophil accumulation and cytokine release. This study reveals a conserved metabolic‒epigenetic mechanism whereby lactate‐induced H3K18 lactylation upregulates RORα expression, promoting neutrophilic inflammation.
Ren Zhou   +15 more
wiley   +1 more source

Sleep Disorders and Cardiac Consequences [PDF]

open access: yes, 2015
Educational Objectives: 1. Review the clear relationship between obstructive sleep apnea and hypertension. 2. Discuss the cardiac consequences of sleep apnea, including coronary heart disease, heart failure, and different dysrhythmias. 3. Understand that
Vorona, Robert D.
core   +1 more source

Risk factors for obstructive sleep apnea syndrome in children: state of the art [PDF]

open access: yes, 2019
The obstructive sleep apnea syndrome (OSAS) represents only part of a large group of pathologies of variable entity called respiratory sleep disorders (RSD) which include simple snoring and increased upper airway resistance syndrome (UARS).
Bellini, Chiara   +16 more
core   +2 more sources

Knowledge, Attitude, and Practice on Atrial Fibrillation and Atrial Fibrillation Screening in High‐Risk Population: A Cross‐Sectional Study

open access: yesAGING MEDICINE, EarlyView.
Distribution of KAP scores for participants ≤ 65 versus > 65 years. ABSTRACT Objectives Atrial fibrillation (AF) is a common clinical arrhythmia. Failure to identify AF leaves patients at a considerably higher risk of disability and death, making its early screening and prevention extremely important. This study aimed to investigate knowledge, attitude,
Zhong Yi   +12 more
wiley   +1 more source

Sleep Disordered Breathing in Patient with Type 2 Diabetes Mellitus and its Association with Diabetic Retinopathy: Single Center Study

open access: yesNepalese Medical Journal, 2019
Introduction: Sleep-disordered breathing comprises of obstructive sleep apnea, central sleep apnea, and periodic breathing. There is a link between obesity diabetes and sleep apnea with its association with retinopathy.
Milesh Jung Sijapati   +3 more
doaj   +1 more source

Blood Pressure Non-Dipping and Obstructive Sleep Apnea Syndrome: A Meta-Analysis [PDF]

open access: yes, 2019
AIM: We examined the reduced blood pressure (BP) nocturnal fall in patients with obstructive sleep apnea (OSA) by a meta-analysis including studies that provided data on prevalence rates of non-dipping (ND) pattern during 24-h ambulatory blood ...
Cuspidi, Cesare   +5 more
core   +1 more source

Effect of Intraoperative Posture on Accurate Diagnostic Rate of Intraoperative Nerve Monitoring During Esophagectomy

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Adequate contact between the intubation tube and the vocal cord muscles is crucial for effective intraoperative nerve monitoring use during esophagectomy. Additionally, intraoperative posture significantly affects diagnostic outcomes and should be carefully considered.
Masami Yuda   +9 more
wiley   +1 more source

Right ventricular echocardiographic parameters predict severe sleep apnea syndrome in patients with heart failure [PDF]

open access: yesExploration of Medicine
Aim: The study aimed to determine which right ventricle echocardiography parameters were associated with severe sleep apnea syndrome in heart failure patients with sleep apnea syndrome.
Saoussen Antit   +6 more
doaj   +1 more source

Unconstrained video monitoring of breathing behavior and application to diagnosis of sleep apnea [PDF]

open access: yes, 2014
This paper presents a new real-time automated infrared video monitoring technique for detection of breathing anomalies, and its application in the diagnosis of obstructive sleep apnea.
Gravill, N.   +3 more
core   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang   +6 more
wiley   +1 more source

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