Polysomnography and Heart Rate Indexes in Obstructive Sleep Apnea
NCT02044900 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 50
Last updated 2014-01-24
Summary
The purpose of this study is to evaluate the diagnostic accuracy of polysomnography indexes for diagnosis of sleep apnea in human subjects obstructive sleep apnea (OSA). This includes evaluation of polysomnography indexes (AHI; AI, arousal index; ODI, oxygen desaturation index) and heart rate variability (HRV) indexes.
Conditions
Sponsors & Collaborators
-
Ovidiu Constantin Baltatu
lead OTHER
Principal Investigators
-
Ovidiu C Baltatu, MD PhD · Camilo Castelo Branco University (UNICASTELO)
Eligibility
- Min Age
- 18 Years
- Max Age
- 50 Years
- Sex
- MALE
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2012-08-31
- Primary Completion
- 2013-04-30
- Completion
- 2013-04-30
Countries
- Brazil
Study Locations
More Related Trials
-
High-resolution Oximetry to Diagnose Obstructive Sleep Apnea
NCT04366193 ·Status: UNKNOWN
-
Effect of OSA on RV Heamodynamics and Function
NCT03267667 ·Status: COMPLETED
-
Cardiopulmonary Exercise Test in Patient With Obstructive Sleep Apnea
NCT03300700 ·Status: UNKNOWN
-
The Severity Of Individual Breathing Cessation Events In Diagnostics Of Obstructive Sleep Apnea
NCT03232658 ·Status: UNKNOWN
-
Cardiovascular Variability and Heart Rate Response Associated With Obstructive Sleep Apnea
NCT03075787 ·Status: UNKNOWN
-
Evaluation Of Patients With Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) Based on Nonlinear Analysis Of Respiratory Signals
NCT01161381 ·Status: COMPLETED
-
Sleep-related Breathing Disorders in Cardiological Outpatients
NCT02693925 ·Status: COMPLETED
-
Right Ventricular Function in Patients With Obstructive Sleep Apnea
NCT01201200 ·Status: COMPLETED
-
Clinical Evaluation of an Apnea Index for Diagnosis and Screening of Obstructive Sleep Apnea (OSA)
NCT01010438 ·Status: COMPLETED
-
Obstructive Sleep Apnea Prevalence in Patients With Chronic Obstructive Pulmonary Diseases
NCT04903639 ·Status: COMPLETED
-
the Pathophysiology of the Onset of Atrial Fibrillation in Obstructive Sleep Apnea
NCT06246825 ·Status: ENROLLING_BY_INVITATION
-
Classification of Stanford for Snore as Factor of Aggravation of the Apnea Hypopnea Index (AIH) in Patients With Obstructive Sleep Apnea Syndrome (OSAS)
NCT00883376 ·Status: COMPLETED
-
Assessment of Pulmonary Artery Pressure and Right Sided Hemodynamics in Patients With OSA Before and After CPAP TTT
NCT03276611 ·Status: UNKNOWN
-
Correlation Between Friedman Classification and the Apnea Hypopnea Index (AIH) in a Population With Obstructive Sleep Apnea Syndrome (OSAS)
NCT00883025 ·Status: COMPLETED
-
Impact of CPAP Therapy in Obstructive Sleep Apnea on Parameters of Nocturnal Pulse Wave Analysis
NCT01814462 ·Status: COMPLETED ·Phase: NA
-
New Approach in the Study of the Autonomic Nervous System Through Cardiac Variability in Sleep Apnea Syndrome.
NCT06808464 ·Status: RECRUITING
-
Validation of the Peripheral Arterial Tone to Detect Sleep-disordered Breathing in Patients With Chronic Heart Failure
NCT02760680 ·Status: COMPLETED ·Phase: NA
-
The Association Between Obstructive Sleep Apnea Severity and Red Blood Cells Indices
NCT06265129 ·Status: COMPLETED
-
Association Between Obstructive Sleep Apnea and Bruxism
NCT03810248 ·Status: COMPLETED
-
The Effects of Continuous Positive Airway Pressure (CPAP) on Sympathetic Activity in Different Sites of Activation
NCT01336335 ·Status: UNKNOWN ·Phase: PHASE3
-
Data Collection Study to Review Novel Methods for Diagnosing Obstructive Sleep Apnea
NCT06930404 ·Status: RECRUITING
-
Structural and Functional Left Ventricular Remodelling in Patients With Obstructive Sleep Apnea
NCT00768807 ·Status: COMPLETED ·Phase: NA
-
Functional Magnetic Resonance Imaging in Patients With Obstructive Sleep Apnea Syndrome
NCT05147649 ·Status: RECRUITING ·Phase: NA
-
Portable Monitoring Device for the Diagnosis of Sleep Apnea in Patients With Chronic Obstructive Pulmonary Disease
NCT01026207 ·Status: TERMINATED
-
Automatic Estimation of the Apnea-hypopnea Index Using Neural Networks to Detect Sleep Apnea
NCT02143297 ·Status: UNKNOWN