Assessment of Heart Rate Variability for Predicting Obstructive Sleep Apnea in Patients With Hypertension
Ориентир для пациента и семьи
Простыми словами
Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.
- Что изучают
- В протоколе указаны: Polysomnography.
- Кому может быть актуально
- Состояния в реестре: Obstructive Sleep Apnea, Hypertension. Базовые параметры: 18 лет — 65 лет · Все.
- Что важно проверить
- Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
- Где проводится
- Тайвань
- Следующий шаг
- Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →
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Официальное название
The Exploration of the Relationship Between Hypertension and Sleep Apnea Through Heart Rate Variability, and the Subsequent Investigation of Non-pharmacological and Pharmacological Treatments
Обзор
This study aims to investigate the relationship between hypertension and obstructive sleep apnea (OSA) using heart rate variability (HRV) as a non-invasive biomarker of autonomic nervous system function. Hypertensive patients at high risk for OSA will undergo 24-hour Holter electrocardiogram monitoring to assess HRV parameters, along with overnight polysomnography (PSG) to determine OSA severity. The study will analyze the association between HRV indices and the apnea-hypopnea index (AHI), and develop predictive models using machine learning techniques. In addition, patients diagnosed with OSA will be followed after treatment, and changes in HRV and blood pressure will be evaluated to assess treatment effects and autonomic function recovery. The results of this study may provide a cost-effective and clinically applicable approach for early detection, risk stratification, and management of OSA in patients with hypertension.
Подробное описание
This study is designed as a prospective observational cohort study to investigate the association between heart rate variability (HRV), hypertension, and obstructive sleep apnea (OSA).
Participants will be recruited from outpatient clinics and include adult patients aged 18 to 65 years with diagnosed hypertension or resistant hypertension and a STOP-Bang score ≥3. After providing informed consent, eligible participants will undergo 24-hour ambulatory electrocardiogram monitoring using a Holter device to obtain HRV parameters, including time-domain indices (e.g., SDNN, RMSSD) and frequency-domain indices (e.g., LF, HF, VLF, and LF/HF ratio). In parallel, overnight polysomnography (PSG) will be performed to determine sleep parameters and OSA severity based on the apnea-hypopnea index (AHI).
Clinical data, including demographic characteristics, blood pressure measurements, and relevant laboratory results, will also be collected. Statistical analyses will include descriptive statistics, correlation analysis, and regression modeling to evaluate the relationship between HRV parameters and OSA severity.
Machine learning approaches will be applied to develop predictive models for OSA severity using HRV features. Algorithms such as linear regression, support vector machines, random forest, and gradient boosting methods will be evaluated. Model performance will be assessed using metrics including mean squared error (MSE), mean absolute error (MAE), and coefficient of determination (R²), with cross-validation techniques to ensure robustness.
In a subsequent phase, participants diagnosed with OSA and receiving standard treatment (e.g., continuous positive airway pressure, CPAP) will be followed longitudinally. Changes in HRV parameters and blood pressure profiles will be analyzed to assess autonomic nervous system recovery and treatment response.
This study aims to establish a non-invasive, clinically applicable, and cost-effective strategy for screening and risk stratification of OSA in patients with hypertension, with potential applications in telemedicine and wearable health monitoring systems.
Вмешательства
- Диагностический тест Polysomnography
Overnight polysomnography (PSG) will be performed to evaluate sleep parameters and determine the severity of obstructive sleep apnea.
Первичные конечные точки
- Prediction of OSA Severity Using Heart Rate Variability [Срок оценки: Baseline (at time of HRV monitoring and polysomnography)]
Вторичные конечные точки (1)
- Change in Heart Rate Variability After Treatment [Срок оценки: Up to 12 months]
Критерии участия
Критерии включения
- Age 18 to 65 years
- Diagnosed hypertension or resistant hypertension
- STOP-Bang score ≥3 indicating high risk of obstructive sleep apnea
- Willing and able to provide informed consent
Критерии исключения
- Refusal to undergo HRV monitoring or polysomnography
- Unstable medical condition that may interfere with study participation
- Inability to comply with study procedures
Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.
Здоровые добровольцы: Нет
Дизайн исследования
- Модель наблюдения
- Когортное
Центры проведения
Тайвань · 1 центр
- Kaohsiung Armed Forces General Hospital — Kaohsiung City
Идентификаторы
NCT: NCT07603583 · KAFGHIRB 114-092