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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT04621032
Other study ID # 1
Secondary ID
Status Completed
Phase
First received
Last updated
Start date September 1, 2016
Est. completion date August 31, 2019

Study information

Verified date November 2020
Source Nowodworskie Centrum Medyczne
Contact n/a
Is FDA regulated No
Health authority
Study type Observational [Patient Registry]

Clinical Trial Summary

Literature shows that patients with obesity and Obstructive Sleep Apnea (OSA), both occurring independently, are more likely to develop cardiovascular diseases and sudden cardiac death (SCD). Assuming that ventricular depolarization is more stable than repolarization then QT interval parameters may be used for heart muscle repolarization assessment for those groups of patients. There were 121 patients included in the study, both - women and men, aging from 35-65 with visceral obesity. Only healthy patients were included - the ones who were not treated for any chronic disease, taking QT elongating drugs, or were not treated with Continuous Positive Airway Pressure (CPAP) therapy at that time.


Description:

The current study was a prospective, observational clinical trial performed between September 2016 and August 2019 at a single-center institution specializing in treatment of patients with obstructive sleep apnea. The inclusion criteria were as follows: (1) gender: female or male, (2) age 35-65 years old, (3) visceral obesity, (4) lack of acute or chronic diseases that may have an influence on rhythm or conduction disorders, (5) not undergoing Continuous Positive Airway Pressure therapy (CPAP) or taking drugs that have or may have an influence on QT interval duration [according to Credible Meds list (Woosley et al, 2019)], (6) not consuming grapefruits or grapefruit juice for at least 2 weeks before Holter-ECG examination. Patients, who met all inclusion criteria, underwent subject and physical examination, an over-night Holter-ECG, polygraphy and laboratory biochemical tests (sodium, potassium, calcium, magnesium concentration and fasting glyceamia. Enrolled patients were asked questions about general frame of mind, daytime and nighttime symptoms that may suggest OSA [according to Epworth Sleepiness Scale (https://epworthsleepinessscale.com/about-the-ess/ access date 08 May 2020)]. All patients were fully physically examined. Neck and waist circumference were measured according to STEPwise Approach to Surveillance (STEPS) by WHO (https://www.who.int/ncds/surveillance/steps/en/. [access date 23 April.2019]. Upon subject examination (snoring and choking feeling during the sleep) a corrected neck circumference was calculated. Polygraphy was conducted using MED Recorder device by Infoscan company according to AASM guidelines (American Academy of Sleep Medicine, International classification of sleep disorders, 2016). The device registered blood saturation, heart rate, airflow, chest and abdomen movements, body position, snoring and single lead ECG. OSA was diagnosed according to AASM definition (American Academy of Sleep Medicine, Sleep-related breathing disorders in adults, 1999): in every patient with Respiratory Disturbance Index (RDI) ≥ 5/hour and with concomitant OSA sings (Epworth Sleepiness Scale ≥ 11 pts) or with RDI ≥ 15/hour. The minimum time of analyzed data without artifacts had to last at least 6 h. A Holter-ECG examination was conducted using DMS 300-3A device by Oxford company suitable for Cardioscan 10 system. Registration was made simultaneously with polygraphy, during the night. Chosen QT interval assessment parameters were evaluated upon partially automatically analyzed fragments of ECG records. Only nighttime ECG records were analyzed due to maximum comparability (similar patient's physical activity and minimized, because of limited body movements, artifacts). Moreover, the study aimed to assess a heart's activity simultaneous to sleep breathing disorders. Only ECG strips with constant heart rate, optimally within 50-70/min limits, were chosen due to the minimum impact of such heart rate on QT interval correction formula. QTc data was calculated upon Bazett's formula. QTV and QTVi were calculated upon Berger's formula. After getting all results they were checked against the following exclusion criteria: 1) revealing that information about patient's chronic illness or drugs therapy was obfuscated, revealing increased fasting serum glucose concentration or ionic disturbances. It was strongly recommended to every patient to visit their GP for further diagnostics, 2) revealing any important deviation in physical examination i.a. blood pressure taken twice at the visit ≥140/ ≥90 mmHg, 3) revealing, upon Holter ECG examination, tachycardia or too numerous artifacts making QT interval assessment incredible, 4) too short total sleep time (< 6 hours) registered on polygraphy. Out of 187 consecutive patients meeting the inclusion criteria, 66 patients met at least one exclusion criterion, leaving 121 patients for the study analyses.


Recruitment information / eligibility

Status Completed
Enrollment 187
Est. completion date August 31, 2019
Est. primary completion date August 31, 2019
Accepts healthy volunteers No
Gender All
Age group 35 Years to 65 Years
Eligibility Inclusion Criteria: - gender: female or male, - age 35-65 years old, - visceral obesity, - lack of acute or chronic diseases that may have an influence on rhythm or conduction disorders, - not undergoing Continuous Positive Airway Pressure therapy (CPAP) or taking drugs that have or may have an influence on QT interval duration [according to Credible Meds list (Woosley et al, 2019)], - not consuming grapefruits or grapefruit juice for at least 2 weeks before Holter-ECG examination. Exclusion Criteria: - revealing that information about patient's chronic illness or drugs therapy was obfuscated, revealing increased fasting serum glucose concentration or ionic disturbances. It was strongly recommended to every patient to visit their GP for further diagnostics, - revealing any important deviation in physical examination i.a. blood pressure taken twice at the visit =140/ =90 mmHg, - revealing, upon Holter ECG examination, tachycardia or too numerous artifacts making QT interval assessment incredible, - too short total sleep time (< 6 hours) registered on polygraphy.

Study Design


Intervention

Diagnostic Test:
Polygraphy monitoring
All patients with visceral obesity have been tested for Obstructive Sleep Apnea and heart rhythm disorders by usage of polygraphy and Holter-ECG monitoring.
laboratory tests
Blood samples for sodium, potassium, calcium, magnesium concentration and fasting glyceamia assessment hae been taken from all patients with visceral obesity.

Locations

Country Name City State
n/a

Sponsors (2)

Lead Sponsor Collaborator
Nowodworskie Centrum Medyczne Medical University of Warsaw

References & Publications (26)

14. Report of a WHO Expert Consultation. Waist circumference and waist-hip ratio. Geneva, 8-11 Dec 2008.

2. American Academy of Sleep Medicine. International classification of sleep disorders, 2nd ed. Diagnostic and coding manual. Westchester, Illinois: American Academy of Sleep Medicine 2005. Updated November 2015. Darien, IL: American Academy of Sleep medicine, 2016.

28. Woosley R.L., Romero K.A., www.Crediblemeds.org, QTdrugs List, [access date 05 May 2019, AZCERT, Inc. 1822 Innovation Park Dr., Oro Valley, AZ 85755.

Alam I, Lewis MJ, Lewis KE, Stephens JW, Baxter JN. Influence of bariatric surgery on indices of cardiac autonomic control. Auton Neurosci. 2009 Dec 3;151(2):168-73. doi: 10.1016/j.autneu.2009.08.007. Epub 2009 Aug 31. — View Citation

Arslan E, Yiginer O, Yavasoglu I, Ozçelik F, Kardesoglu E, Nalbant S. Effect of uncomplicated obesity on QT interval in young men. Pol Arch Med Wewn. 2010 Jun;120(6):209-13. — View Citation

Barta K, Szabó Z, Kun C, Munkácsy C, Bene O, Magyar MT, Csiba L, Lörincz I. The effect of sleep apnea on QT interval, QT dispersion, and arrhythmias. Clin Cardiol. 2010 Jun;33(6):E35-9. doi: 10.1002/clc.20619. — View Citation

Baumert M, Porta A, Vos MA, Malik M, Couderc JP, Laguna P, Piccirillo G, Smith GL, Tereshchenko LG, Volders PG. QT interval variability in body surface ECG: measurement, physiological basis, and clinical value: position statement and consensus guidance endorsed by the European Heart Rhythm Association jointly with the ESC Working Group on Cardiac Cellular Electrophysiology. Europace. 2016 Jun;18(6):925-44. doi: 10.1093/europace/euv405. Epub 2016 Jan 27. — View Citation

Baumert M, Schlaich MP, Nalivaiko E, Lambert E, Sari CI, Kaye DM, Elser MD, Sanders P, Lambert G. Relation between QT interval variability and cardiac sympathetic activity in hypertension. Am J Physiol Heart Circ Physiol. 2011 Apr;300(4):H1412-7. doi: 10.1152/ajpheart.01184.2010. Epub 2011 Jan 21. — View Citation

Baumert M, Smith J, Catcheside P, McEvoy RD, Abbott D, Sanders P, Nalivaiko E. Variability of QT interval duration in obstructive sleep apnea: an indicator of disease severity. Sleep. 2008 Jul;31(7):959-66. — View Citation

Gami AS, Howard DE, Olson EJ, Somers VK. Day-night pattern of sudden death in obstructive sleep apnea. N Engl J Med. 2005 Mar 24;352(12):1206-14. — View Citation

Gami AS, Olson EJ, Shen WK, Wright RS, Ballman KV, Hodge DO, Herges RM, Howard DE, Somers VK. Obstructive sleep apnea and the risk of sudden cardiac death: a longitudinal study of 10,701 adults. J Am Coll Cardiol. 2013 Aug 13;62(7):610-6. doi: 10.1016/j.jacc.2013.04.080. Epub 2013 Jun 13. — View Citation

Haigney MC, Zareba W, Gentlesk PJ, Goldstein RE, Illovsky M, McNitt S, Andrews ML, Moss AJ; Multicenter Automatic Defibrillator Implantation Trial II investigators. QT interval variability and spontaneous ventricular tachycardia or fibrillation in the Multicenter Automatic Defibrillator Implantation Trial (MADIT) II patients. J Am Coll Cardiol. 2004 Oct 6;44(7):1481-7. — View Citation

Hinterseer M, Beckmann BM, Thomsen MB, Pfeufer A, Dalla Pozza R, Loeff M, Netz H, Steinbeck G, Vos MA, Kääb S. Relation of increased short-term variability of QT interval to congenital long-QT syndrome. Am J Cardiol. 2009 May 1;103(9):1244-8. doi: 10.1016/j.amjcard.2009.01.011. Epub 2009 Mar 18. — View Citation

Mathieu P, Poirier P, Pibarot P, Lemieux I, Després JP. Visceral obesity: the link among inflammation, hypertension, and cardiovascular disease. Hypertension. 2009 Apr;53(4):577-84. doi: 10.1161/HYPERTENSIONAHA.108.110320. Epub 2009 Feb 23. Review. — View Citation

Mehra R, Benjamin EJ, Shahar E, Gottlieb DJ, Nawabit R, Kirchner HL, Sahadevan J, Redline S; Sleep Heart Health Study. Association of nocturnal arrhythmias with sleep-disordered breathing: The Sleep Heart Health Study. Am J Respir Crit Care Med. 2006 Apr 15;173(8):910-6. Epub 2006 Jan 19. — View Citation

Menon A, Kumar M. Influence of body position on severity of obstructive sleep apnea: a systematic review. ISRN Otolaryngol. 2013 Oct 8;2013:670381. doi: 10.1155/2013/670381. Review. — View Citation

Murabayashi T, Fetics B, Kass D, Nevo E, Gramatikov B, Berger RD. Beat-to-beat QT interval variability associated with acute myocardial ischemia. J Electrocardiol. 2002 Jan;35(1):19-25. — View Citation

Myredal A, Gao S, Friberg P, Jensen G, Larsson L, Johansson M. Increased myocardial repolarization lability and reduced cardiac baroreflex sensitivity in individuals with high-normal blood pressure. J Hypertens. 2005 Sep;23(9):1751-6. — View Citation

Myredal A, Karlsson AK, Johansson M. Elevated temporal lability of myocardial repolarization after coronary artery bypass grafting. J Electrocardiol. 2008 Nov-Dec;41(6):698-702. doi: 10.1016/j.jelectrocard.2008.06.004. Epub 2008 Jul 21. — View Citation

Papaioannou A, Michaloudis D, Fraidakis O, Petrou A, Chaniotaki F, Kanoupakis E, Stamatiou G, Melissas J, Askitopoulou H. Effects of weight loss on QT interval in morbidly obese patients. Obes Surg. 2003 Dec;13(6):869-73. — View Citation

Romero-Corral A, Caples SM, Lopez-Jimenez F, Somers VK. Interactions between obesity and obstructive sleep apnea: implications for treatment. Chest. 2010 Mar;137(3):711-9. doi: 10.1378/chest.09-0360. Review. — View Citation

Sleep-related breathing disorders in adults: recommendations for syndrome definition and measurement techniques in clinical research. The Report of an American Academy of Sleep Medicine Task Force. Sleep. 1999 Aug 1;22(5):667-89. Review. — View Citation

Sosnowski M, Czyz Z, Tendera M. Time and frequency analysis of beat-to-beat R-T interval variability in patients with ischaemic left ventricular dysfunction providing evidence for non-neural control of ventricular repolarisation. Eur J Heart Fail. 2002 Dec;4(6):737-43. — View Citation

Strack C, Fessman D, Fenk S, Waldmann K, Kempinger S, Loew T, et al. QT prolongation is frequently observed in obesity with and without the metabolic syndrome and can be reversed by long term weight reduction. Eur Heart J 2013 34:4287.

Viigimae M, Karai D, Pilt K, Pirn P, Huhtala H, Polo O, Meigas K, Kaik J. QT interval variability index and QT interval duration during different sleep stages in patients with obstructive sleep apnea. Sleep Med. 2017 Sep;37:160-167. doi: 10.1016/j.sleep.2017.06.026. Epub 2017 Jul 22. — View Citation

Vrtovec B, Starc V, Starc R. Beat-to-beat QT interval variability in coronary patients. J Electrocardiol. 2000 Apr;33(2):119-25. — View Citation

* Note: There are 26 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary A number of patients with visceral obesity and Obstructive Sleep Apnea Polygraphy examination of each patient one day per each patient
Secondary A number of patients with visceral obesity and heart rhythm disorders occurrence. Holter-ECG monitoring of each patient Holter ECG - one day per patient
Secondary Correlation of Obstructive Sleep Apnea and ECG changes among OSA positive and negative patients statistical analysis 2016-2019
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