Publications by authors named "Wen-Te Liu"
Article Synopsis
- Obstructive sleep apnea (OSA) might lead to changes in slow-wave sleep activity, which could increase the risk of developing Alzheimer's disease; this study aimed to explore the relationship between OSA symptoms and neurochemical biomarkers related to Alzheimer's.
- The study involved 42 individuals undergoing polysomnography to assess their sleep patterns and blood tests to measure levels of total tau (T-Tau) and amyloid beta-peptide 42 (Aβ), categorizing participants into low and high Alzheimer's risk groups.
- Results indicated that high-risk individuals had worse sleep metrics and unusual slow-wave sleep patterns, suggesting that OSA symptoms could indirectly raise levels of neurochemical markers linked to Alzheimer's, but further research is needed to establish direct causal links.
Article Synopsis
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Study Objectives: The gold standard for diagnosing obstructive sleep apnea (OSA) is polysomnography (PSG). However, PSG is a time-consuming method with clinical limitations. This study aimed to create a wireless radar framework to screen the likelihood of 2 levels of OSA severity (ie, moderate-to-severe and severe OSA) in accordance with clinical practice standards.
View Article and Find Full Text PDFPeriodic leg movements during sleep (PLMS) may have crucial consequences in adults. This study aimed to identify baseline characteristics, symptoms, or questionnaires that could help to identify sleep-disordered breathing patients with significant PLMS. Patients aged 20-80 years who underwent polysomnography for assessing sleep disturbance were included.
View Article and Find Full Text PDFArticle Synopsis
- Air pollution, particularly exposure to particulate matter (PM), may disrupt body water distribution and is linked to low-arousal-threshold obstructive sleep apnea (low-ArTH OSA).
- A study involving 1,924 participants in Taiwan showed that increased PM exposure correlated with higher sleep disorder indices and altered body water ratios.
- Findings indicate that air pollution directly contributes to sleep disorders and changes in body water distribution, which may increase the risk of low-ArTH OSA.
Background: Continuous positive airway pressure (CPAP) therapy is the first-line treatment for obstructive sleep apnea (OSA). However, the low acceptance rate of CPAP remains a challenging clinical issue. This study aimed to determine the factors that influence the acceptance rate of CPAP.
View Article and Find Full Text PDFObjective: Obstructive sleep apnea is a global health concern, and several tools have been developed to screen its severity. However, most tools focus on respiratory events instead of sleep arousal, which can also affect sleep efficiency. This study employed easy-to-measure parameters-namely heart rate variability, oxygen saturation, and body profiles-to predict arousal occurrence.
View Article and Find Full Text PDFBackground: Growing evidence suggests the detrimental impact of supine position and air pollution on obstructive sleep apnea (OSA), as well as the potential benefits of nonsupine positions. However, their interaction effects on OSA remain unclear.
Objectives: To evaluate the interaction effects of air pollution (NO/PM) and sleep position on OSA on additive and multiplicative scales.
Article Synopsis
- * This study developed a machine-learning algorithm leveraging electrocardiogram (ECG) data to predict sleep apnea events 30-90 seconds in advance, using techniques like SVM, KNN, decision trees, and LDA.
- * Results showed that SVM outperformed other methods, achieving 98.2% accuracy, particularly in the 8-50 Hz frequency band, indicating that monitoring ECG during CPAP titration can effectively forecast apnea events and improve at-home management of OSA.
Background: Exposure to air pollution may be a risk factor for obstructive sleep apnea (OSA) because air pollution may alter body water distribution and aggravate OSA manifestations.
Objectives: This study aimed to investigate the mediating effects of air pollution on the exacerbation of OSA severity through body water distribution.
Methods: This retrospective study analyzed body composition and polysomnographic data collected from a sleep center in Northern Taiwan.
Objective: This study proposed a moving average (MA) approach to dynamically process heart rate variability (HRV) and developed aberrant driving behavior (ADB) prediction models by using long short-term memory (LSTM) networks.
Background: Fatigue-associated ADBs have traffic safety implications. Numerous models to predict such acts based on physiological responses have been developed but are still in embryonic stages.
Obstructive sleep apnea (OSA) with a low arousal threshold (low-ArTH) phenotype can cause minor respiratory events that exacerbate sleep fragmentation. Although anthropometric features may affect the risk of low-ArTH OSA, the associations and underlying mechanisms require further investigation. This study investigated the relationships of body fat and water distribution with polysomnography parameters by using data from a sleep center database.
View Article and Find Full Text PDFArticle Synopsis
- The study investigates how air pollution, specifically nitrogen oxides (NO) and particulate matter (PM), affects body composition and its relationship with obstructive sleep apnea (OSA) among 3,550 individuals.
- Changes in lower-limb body composition were linked to air pollution levels, with NO exposure impacting both body composition and mild-OSA symptoms.
- Findings suggest that certain body composition metrics, like muscle mass and impedance measurements from the legs, are significant predictors of OSA severity, indicating a complex interplay between air pollution and sleep-disordered breathing.
We conducted a cross-sectional study to investigate associations of particulate matter (PM) of less than 2.5 μm in aerodynamic diameter (PM) and PM deposition with nocturnal changes in body composition in obstructive sleep apnea (OSA) patients. A bioelectric impedance analysis was used to measure the pre- and postsleep body composition of 185 OSA patients.
View Article and Find Full Text PDFLong-term exposure to air pollution can lead to cardiovascular disease, metabolic syndrome, and chronic respiratory disease. However, from a lifetime perspective, the critical period of air pollution exposure in terms of health risk is unknown. This study aimed to evaluate the impact of air pollution exposure at different life stages.
View Article and Find Full Text PDFObstructive sleep apnea (OSA) is a risk factor for neurodegenerative diseases. This study determined whether continuous positive airway pressure (CPAP), which can alleviate OSA symptoms, can reduce neurochemical biomarker levels. Thirty patients with OSA and normal cognitive function were recruited and divided into the control ( = 10) and CPAP ( = 20) groups.
View Article and Find Full Text PDFArticle Synopsis
- * Researchers analyzed data from 3,529 patients in Taiwan, employing six machine learning techniques, including random forest, and determined feature importance through Shapley values to identify factors influencing OSA risk.
- * The random forest model achieved the highest accuracy, with 79.32% for moderate-to-severe OSA and 74.37% for severe OSA, highlighting snoring events and visceral fat as key screening features.
Article Synopsis
- Chronic obstructive pulmonary disease (COPD) poses significant global health challenges, and this study investigates the effectiveness of two specific indicators, the distance-saturation product (DSP) from the 6-min walk test and low-attenuation area percentage (LAA%), in assessing COPD stability and mortality risk.
- The study involved a retrospective analysis of 111 COPD patients in northern Taiwan, examining various clinical parameters such as pulmonary function tests (PFT), quality of life assessments, and acute exacerbation history to explore links between DSP, LAA%, and these parameters.
- Results indicated that patients with a low DSP (<290 m%) experienced worse quality of life and higher acute exacerbation frequency, while significant
Purpose: Obstructive sleep apnea (OSA) is frequently accompanied by hypertension, resulting in cardiovascular comorbidities. Continuous positive airway pressure is a standard therapy for OSA but has poor adherence. Inspiratory muscle training (IMT) may reduce airway collapsibility and sympathetic output, which may decrease OSA severity and blood pressure.
View Article and Find Full Text PDFObjectives: Obstructive sleep apnea (OSA) may increase the risk of Alzheimer's disease (AD). However, potential associations among sleep-disordered breathing, hypoxia, and OSA-induced arousal responses should be investigated. This study determined differences in sleep parameters and investigated the relationship between such parameters and the risk of AD.
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- The study aimed to investigate how daily averages and fluctuations in relative humidity (RH), temperature, and particulate matter (PM) impact the severity of obstructive sleep apnea (OSA).
- Researchers analyzed data from 8,628 subjects over six years, categorizing them based on their apnea-hypopnea index (AHI) scores to determine the relationship between environmental factors and OSA severity.
- Findings revealed that higher levels of PM and RH could increase AHI events in OSA patients, especially during colder seasons, suggesting that minimizing exposure to high humidity and PM could help mitigate OSA severity.
Obstructive sleep apnea (OSA) is a global health concern and is typically diagnosed using in-laboratory polysomnography (PSG). However, PSG is highly time-consuming and labor-intensive. We, therefore, developed machine learning models based on easily accessed anthropometric features to screen for the risk of moderate to severe and severe OSA.
View Article and Find Full Text PDFCurrent approaches via physiological features detecting aberrant driving behaviour (ADB), including speeding, abrupt steering, hard braking and aggressive acceleration, are developing. This study proposes using machine learning approaches incorporating heart rate variability (HRV) parameters to predict ADB occurrence. .
View Article and Find Full Text PDFAge, sex, and body mass index (BMI) were associated with obstructive sleep apnea (OSA). Although various methods have been used in OSA prediction, this study aimed to develop predictions using simple and general predictors incorporating machine learning algorithms. This single-center, retrospective observational study assessed the diagnostic relevance of age, sex, and BMI for OSA in a cohort of 9, 422 patients who had undergone polysomnography (PSG) between 2015 and 2020.
View Article and Find Full Text PDFPurpose: Body composition is considered to be associated with obstructive sleep apnea (OSA) severity. This cross-sectional study aimed to examine associations of overnight body composition changes with positional OSA.
Methods: The body composition of patients diagnosed with non-positional and positional OSA was measured before and after overnight polysomnography.