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Updated: May 22, 2025

Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea
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阻塞性睡眠呼吸暂停和间歇性肺病之间的因果关系的调查:从两个样本的孟德尔随机化中获得的见解

Fei Peng1, Zhen Zheng2, Chao He3

  • 1Department of Respiratory Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China; John W. Deming Department of Medicine, Section of Pulmonary Diseases, Critical Care and Environmental Medicine, Tulane University, LA, 70112, USA; Postdoctoral Mobile Station of Clinical Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China.

Respiratory medicine
|May 18, 2025
PubMed
概括

间歇性肺病 (ILD) 增加了发展阻塞性睡眠呼吸暂停 (OSA) 的风险. 这项遗传研究证实ILD是OSA的因果因素,为疾病预防和治疗策略提供了信息.

关键词:
因果关系是因果关系.间歇性肺病 间歇性肺病门德尔的随机化阻塞性睡眠呼吸暂停症是什么

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Other Pulmonary Disorders01:17

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Respiratory disorders encompass a range of conditions with varying levels of severity. Asthma, marked by chronic airway inflammation and hypersensitivity, is one such condition. It can lead to airway obstruction due to factors like bronchial spasms, mucosal edema, increased mucus secretion, or epithelial damage. Asthma triggers are diverse, ranging from allergens to emotional upset, and treatment focuses on both immediate relief through bronchodilators and long-term inflammation suppression.
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Sleep Apnea

Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...
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Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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