Impact of CPAP Therapy in Obstructive Sleep Apnea on Parameters of Nocturnal Pulse Wave Analysis
NCT ID: NCT01814462
Last Updated: 2018-10-30
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
314 participants
INTERVENTIONAL
2013-03-04
2017-05-30
Brief Summary
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Detailed Description
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Direct effects of obstructive respiratory events (obstructive apneas and hypopneas) include changes of the peripheral pulse wave. The latter can easily be measured by finger plethysmography, e.g. by using established pulse oximeters. Certain pulse wave characteristics and their reaction towards obstructive respiratory events may provide information on cardiovascular function and thereby help in individual cardiovascular risk assessment.
Recently, Grote et al. published a concept for cardiovascular risk assessment based on pulse oximetry and pulse wave analysis ("ASI" - Grote et al. 2011, CHEST). The algorithm described herein is able to differentiate between high and low risk patients according to ESH/ESC risk classification (high risk = 4 and 5, low risk 1-3). To that end, oxygen saturation as measured by pulse oximetry, reductions in pulse wave amplitude, pulse rate accelerations, pulse propagation time and cardiorespiratory coupling are taken into account to calculate a quantitative total risk.
A successful OSA therapy applying positive airway pressure (e.g. CPAP) normalizes sleep-related breathing disturbances and thus counterbalances hemodynamic oscillations. This presumably results in reduced cardiovascular risk and should be detectable by measurable changes in pulse wave. This study aims to evaluate these effects by analyzing the single pulse wave parameters, which are part of the ASI algorithm. At the same time, established risk factors as well as the objective therapy outcome will be documented from the established sleep medicine viewpoint.
Conditions
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Study Design
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NA
SINGLE_GROUP
BASIC_SCIENCE
NONE
Study Groups
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6 months CPAP
Application of continuous positive airway pressure (CPAP) therapy as established per routine clinical treatment. Home use of therapy for a period of 6 months.
6 months CPAP
Interventions
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6 months CPAP
Eligibility Criteria
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Inclusion Criteria
* Stable optimal medication according to European Society of Cardiology guidelines (if applicable)
Exclusion Criteria
* Atrial fibrillation
* Facial anomalies or injuries inhibiting proper mask fit
* Pregnancy and/or lactation
* Acute life-threatening illness (e.g. instable angina pectoris, acute bronchial asthma, heart failure New York Heart Association stage IV, myocardial infarction, exacerbated Chronic obstructive pulmonary disease, malignant tumor requiring treatment)
* Drug or alcohol abuse
* Intake of hypnotics/sedatives
* Any medical, psychological or other condition impairing the patient's ability to provide informed consent
18 Years
ALL
No
Sponsors
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Wissenschaftliches Institut Bethanien e.V
OTHER
Responsible Party
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Locations
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Bethanien Hospital
Solingen, , Germany
Countries
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References
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Grote L, Sommermeyer D, Zou D, Eder DN, Hedner J. Oximeter-based autonomic state indicator algorithm for cardiovascular risk assessment. Chest. 2011 Feb;139(2):253-259. doi: 10.1378/chest.09-3029. Epub 2010 Jul 29.
Lavie P, Herer P, Hoffstein V. Obstructive sleep apnoea syndrome as a risk factor for hypertension: population study. BMJ. 2000 Feb 19;320(7233):479-82. doi: 10.1136/bmj.320.7233.479.
Nieto FJ, Young TB, Lind BK, Shahar E, Samet JM, Redline S, D'Agostino RB, Newman AB, Lebowitz MD, Pickering TG. Association of sleep-disordered breathing, sleep apnea, and hypertension in a large community-based study. Sleep Heart Health Study. JAMA. 2000 Apr 12;283(14):1829-36. doi: 10.1001/jama.283.14.1829.
Young T, Peppard P, Palta M, Hla KM, Finn L, Morgan B, Skatrud J. Population-based study of sleep-disordered breathing as a risk factor for hypertension. Arch Intern Med. 1997 Aug 11-25;157(15):1746-52.
Grote L, Ploch T, Heitmann J, Knaack L, Penzel T, Peter JH. Sleep-related breathing disorder is an independent risk factor for systemic hypertension. Am J Respir Crit Care Med. 1999 Dec;160(6):1875-82. doi: 10.1164/ajrccm.160.6.9811054.
Bixler EO, Vgontzas AN, Lin HM, Ten Have T, Leiby BE, Vela-Bueno A, Kales A. Association of hypertension and sleep-disordered breathing. Arch Intern Med. 2000 Aug 14-28;160(15):2289-95. doi: 10.1001/archinte.160.15.2289.
Peppard PE, Young T, Palta M, Skatrud J. Prospective study of the association between sleep-disordered breathing and hypertension. N Engl J Med. 2000 May 11;342(19):1378-84. doi: 10.1056/NEJM200005113421901.
Parish JM, Somers VK. Obstructive sleep apnea and cardiovascular disease. Mayo Clin Proc. 2004 Aug;79(8):1036-46. doi: 10.4065/79.8.1036.
Peker Y, Hedner J, Norum J, Kraiczi H, Carlson J. Increased incidence of cardiovascular disease in middle-aged men with obstructive sleep apnea: a 7-year follow-up. Am J Respir Crit Care Med. 2002 Jul 15;166(2):159-65. doi: 10.1164/rccm.2105124.
O'Donnell CP, Ayuse T, King ED, Schwartz AR, Smith PL, Robotham JL. Airway obstruction during sleep increases blood pressure without arousal. J Appl Physiol (1985). 1996 Mar;80(3):773-81. doi: 10.1152/jappl.1996.80.3.773.
Davies RJ, Belt PJ, Roberts SJ, Ali NJ, Stradling JR. Arterial blood pressure responses to graded transient arousal from sleep in normal humans. J Appl Physiol (1985). 1993 Mar;74(3):1123-30. doi: 10.1152/jappl.1993.74.3.1123.
Buchner NJ, Sanner BM, Borgel J, Rump LC. Continuous positive airway pressure treatment of mild to moderate obstructive sleep apnea reduces cardiovascular risk. Am J Respir Crit Care Med. 2007 Dec 15;176(12):1274-80. doi: 10.1164/rccm.200611-1588OC. Epub 2007 Aug 2.
Hui DS, Shang Q, Ko FW, Ng SS, Szeto CC, Ngai J, Tung AH, To KW, Chan TO, Yu CM. A prospective cohort study of the long-term effects of CPAP on carotid artery intima-media thickness in obstructive sleep apnea syndrome. Respir Res. 2012 Mar 16;13(1):22. doi: 10.1186/1465-9921-13-22.
Other Identifiers
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WI_ASIC+CPAP_121/2012
Identifier Type: -
Identifier Source: org_study_id
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