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Xu H, Wang W, Yuan J, Guo C, Hu F, Yang W, Luo X, Cui J, Qiao S, Wang J. Implication of sleep apnea for cardiac remodeling in patients with hypertrophic cardiomyopathy. Sleep Med 2024; 116:115-122. [PMID: 38447294 DOI: 10.1016/j.sleep.2024.02.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 02/21/2024] [Accepted: 02/26/2024] [Indexed: 03/08/2024]
Abstract
OBJECTIVES Cardiac remodeling is a life-long process in hypertrophic cardiomyopathy (HCM), and if uncontrolled, would cause substantial morbidity and mortality. Sleep apnea (SA) is a common comorbidity in HCM. This study aimed to investigate the relationship between SA and cardiac remodeling in a large series of patients with HCM. METHODS A total of 606 patients with HCM who underwent sleep evaluations at Fuwai Hospital were included. Parameters of cardiac remodeling were evaluated by echocardiographic studies. RESULTS SA was present in 363 (59.9%) patients. Left ventricular (LV) end-diastolic diameter (P < 0.001), left atrial (LA) diameter (P = 0.024), ascending aortic diameter (P < 0.001) all increased and maximal end-diastolic wall thickness (P < 0.001) decreased with the severity of SA. After adjustment for sex, age, body mass index, hypertension, hyperlipidemia, diabetes, coronary artery disease and cigarette use, log (apnea-hypopnea index+1) was independently correlated with increasing LV end-diastolic diameter (β = 0.729, P = 0.003) and deceasing maximal end-diastolic wall thickness (β = -0.503, P = 0.009). Log (percentage of total sleep time spent with oxygen saturation<90% + 1) was independently correlated with increasing LV end-diastolic diameter (β = 0.609, P = 0.004) and LA diameter (β = 0.695, P = 0.006). Severity of SA (severe SA with odds ratio, 2.38; 95% CI, 1.20-4.70; P = 0.013), log (apnea-hypopnea index+1) (OR, 1.28; 95% CI, 1.01-1.63; P = 0.045) and log (percentage of total sleep time spent with oxygen saturation<90% + 1) (OR, 1.31; 95% CI, 1.08-1.59; P = 0.006) were also independently associated with LV enlargement. CONCLUSIONS Severity of SA is independently associated with cardiac remodeling indicating a trend toward enlarged chamber size and thinned wall. Clinical trials are required to determine whether treatment of SA improves cardiac remodeling and long-term outcomes in patients with HCM.
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Affiliation(s)
- Haobo Xu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Wei Wang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Jiansong Yuan
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Chao Guo
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Fenghuan Hu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Weixian Yang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaoliang Luo
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Jingang Cui
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, China.
| | - Shubin Qiao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Juan Wang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, China.
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2
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Redline S, Azarbarzin A, Peker Y. Obstructive sleep apnoea heterogeneity and cardiovascular disease. Nat Rev Cardiol 2023; 20:560-573. [PMID: 36899115 DOI: 10.1038/s41569-023-00846-6] [Citation(s) in RCA: 42] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/02/2023] [Indexed: 03/12/2023]
Abstract
Obstructive sleep apnoea (OSA), characterized by recurrent periods of upper airway obstruction and intermittent hypoxaemia, is prevalent in patients with cardiovascular disease (CVD), and is therefore important to consider in the prevention and management of CVD. Observational studies indicate that OSA is a risk factor for incident hypertension, poorly controlled blood pressure, stroke, myocardial infarction, heart failure, cardiac arrhythmias, sudden cardiac death and all-cause death. However, clinical trials have not provided consistent evidence that treatment with continuous positive airway pressure (CPAP) improves cardiovascular outcomes. These overall null findings might be explained by limitations in trial design and low levels of adherence to CPAP. Studies have also been limited by the failure to consider OSA as a heterogeneous disorder that consists of multiple subtypes resulting from variable contributions from anatomical, physiological, inflammatory and obesity-related risk factors, and resulting in different physiological disturbances. Novel markers of sleep apnoea-associated hypoxic burden and cardiac autonomic response have emerged as predictors of OSA-related susceptibility to adverse health outcomes and treatment response. In this Review, we summarize our understanding of the shared risk factors and causal links between OSA and CVD and emerging knowledge on the heterogeneity of OSA. We discuss the varied mechanistic pathways that result in CVD that also vary across subgroups of OSA, as well as the potential role of new biomarkers for CVD risk stratification.
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Affiliation(s)
- Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Ali Azarbarzin
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Yüksel Peker
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Koc University School of Medicine, Istanbul, Turkey
- University of Gothenburg, Gothenburg, Sweden
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Lund University School of Medicine, Lund, Sweden
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3
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Cade BE, Lee J, Sofer T, Wang H, Zhang M, Chen H, Gharib SA, Gottlieb DJ, Guo X, Lane JM, Liang J, Lin X, Mei H, Patel SR, Purcell SM, Saxena R, Shah NA, Evans DS, Hanis CL, Hillman DR, Mukherjee S, Palmer LJ, Stone KL, Tranah GJ, Abecasis GR, Boerwinkle EA, Correa A, Cupples LA, Kaplan RC, Nickerson DA, North KE, Psaty BM, Rotter JI, Rich SS, Tracy RP, Vasan RS, Wilson JG, Zhu X, Redline S. Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program. Genome Med 2021; 13:136. [PMID: 34446064 PMCID: PMC8394596 DOI: 10.1186/s13073-021-00917-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 05/28/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Sleep-disordered breathing is a common disorder associated with significant morbidity. The genetic architecture of sleep-disordered breathing remains poorly understood. Through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, we performed the first whole-genome sequence analysis of sleep-disordered breathing. METHODS The study sample was comprised of 7988 individuals of diverse ancestry. Common-variant and pathway analyses included an additional 13,257 individuals. We examined five complementary traits describing different aspects of sleep-disordered breathing: the apnea-hypopnea index, average oxyhemoglobin desaturation per event, average and minimum oxyhemoglobin saturation across the sleep episode, and the percentage of sleep with oxyhemoglobin saturation < 90%. We adjusted for age, sex, BMI, study, and family structure using MMSKAT and EMMAX mixed linear model approaches. Additional bioinformatics analyses were performed with MetaXcan, GIGSEA, and ReMap. RESULTS We identified a multi-ethnic set-based rare-variant association (p = 3.48 × 10-8) on chromosome X with ARMCX3. Additional rare-variant associations include ARMCX3-AS1, MRPS33, and C16orf90. Novel common-variant loci were identified in the NRG1 and SLC45A2 regions, and previously associated loci in the IL18RAP and ATP2B4 regions were associated with novel phenotypes. Transcription factor binding site enrichment identified associations with genes implicated with respiratory and craniofacial traits. Additional analyses identified significantly associated pathways. CONCLUSIONS We have identified the first gene-based rare-variant associations with objectively measured sleep-disordered breathing traits. Our results increase the understanding of the genetic architecture of sleep-disordered breathing and highlight associations in genes that modulate lung development, inflammation, respiratory rhythmogenesis, and HIF1A-mediated hypoxic response.
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Affiliation(s)
- Brian E. Cade
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA
| | - Jiwon Lee
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA
| | - Tamar Sofer
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA
| | - Heming Wang
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA
| | - Man Zhang
- grid.411024.20000 0001 2175 4264Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201 USA
| | - Han Chen
- grid.267308.80000 0000 9206 2401Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030 USA ,grid.267308.80000 0000 9206 2401Center for Precision Health, School of Public Health and School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030 USA
| | - Sina A. Gharib
- grid.34477.330000000122986657Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA 98195 USA
| | - Daniel J. Gottlieb
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.410370.10000 0004 4657 1992VA Boston Healthcare System, Boston, MA 02132 USA
| | - Xiuqing Guo
- grid.239844.00000 0001 0157 6501The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Jacqueline M. Lane
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA ,grid.32224.350000 0004 0386 9924Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114 USA
| | - Jingjing Liang
- grid.67105.350000 0001 2164 3847Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH 44106 USA
| | - Xihong Lin
- grid.38142.3c000000041936754XDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115 USA
| | - Hao Mei
- grid.410721.10000 0004 1937 0407Department of Data Science, University of Mississippi Medical Center, Jackson, MS 29216 USA
| | - Sanjay R. Patel
- grid.21925.3d0000 0004 1936 9000Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15213 USA
| | - Shaun M. Purcell
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA
| | - Richa Saxena
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA ,grid.32224.350000 0004 0386 9924Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114 USA
| | - Neomi A. Shah
- grid.59734.3c0000 0001 0670 2351Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Daniel S. Evans
- grid.17866.3e0000000098234542California Pacific Medical Center Research Institute, San Francisco, CA 94107 USA
| | - Craig L. Hanis
- grid.267308.80000 0000 9206 2401Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030 USA
| | - David R. Hillman
- grid.3521.50000 0004 0437 5942Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia 6009 Australia
| | - Sutapa Mukherjee
- Sleep Health Service, Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, South Australia Australia ,grid.1014.40000 0004 0367 2697Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia Australia
| | - Lyle J. Palmer
- grid.1010.00000 0004 1936 7304School of Public Health, University of Adelaide, Adelaide, South Australia 5000 Australia
| | - Katie L. Stone
- grid.17866.3e0000000098234542California Pacific Medical Center Research Institute, San Francisco, CA 94107 USA
| | - Gregory J. Tranah
- grid.17866.3e0000000098234542California Pacific Medical Center Research Institute, San Francisco, CA 94107 USA
| | | | - Gonçalo R. Abecasis
- grid.214458.e0000000086837370Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109 USA
| | - Eric A. Boerwinkle
- grid.267308.80000 0000 9206 2401Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030 USA ,grid.39382.330000 0001 2160 926XHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030 USA
| | - Adolfo Correa
- grid.410721.10000 0004 1937 0407Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216 USA ,Jackson Heart Study, Jackson, MS 39216 USA
| | - L. Adrienne Cupples
- grid.189504.10000 0004 1936 7558Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118 USA ,grid.510954.c0000 0004 0444 3861Framingham Heart Study, Framingham, MA 01702 USA
| | - Robert C. Kaplan
- grid.251993.50000000121791997Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, 10461 USA
| | - Deborah A. Nickerson
- grid.34477.330000000122986657Department of Genome Sciences, University of Washington, Seattle, WA 98195 USA ,grid.34477.330000000122986657Northwest Genomics Center, Seattle, WA 98105 USA
| | - Kari E. North
- grid.410711.20000 0001 1034 1720Department of Epidemiology and Carolina Center of Genome Sciences, University of North Carolina, Chapel Hill, NC 27514 USA
| | - Bruce M. Psaty
- grid.34477.330000000122986657Cardiovascular Health Study, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA 98101 USA ,grid.488833.c0000 0004 0615 7519Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101 USA
| | - Jerome I. Rotter
- grid.239844.00000 0001 0157 6501The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Stephen S. Rich
- grid.27755.320000 0000 9136 933XCenter for Public Health Genomics, University of Virginia, Charlottesville, VA 22908 USA
| | - Russell P. Tracy
- grid.59062.380000 0004 1936 7689Department of Pathology, University of Vermont, Colchester, VT 05405 USA
| | - Ramachandran S. Vasan
- grid.510954.c0000 0004 0444 3861Framingham Heart Study, Framingham, MA 01702 USA ,grid.189504.10000 0004 1936 7558Sections of Preventive Medicine and Epidemiology and Cardiology, Department of Medicine, Boston University School of Medicine, Boston, MA 02118 USA ,grid.189504.10000 0004 1936 7558Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118 USA
| | - James G. Wilson
- grid.410721.10000 0004 1937 0407Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216 USA
| | - Xiaofeng Zhu
- grid.67105.350000 0001 2164 3847Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH 44106 USA
| | - Susan Redline
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.239395.70000 0000 9011 8547Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215 USA
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4
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Ramos AR, Alperin N, Lee S, Gonzalez KA, Tarraf W, Hernandez-Cardenache R. Cognitive and Neuroimaging Correlates of the Insomnia Severity Index in Obstructive Sleep Apnea: A Pilot-Study. APPLIED SCIENCES-BASEL 2021; 11. [PMID: 34221490 PMCID: PMC8253601 DOI: 10.3390/app11125314] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
We aim to determine the sleep correlates of age-related brain loss in a sample of middle-aged to older males with obstructive sleep apnea (OSA). We recruited consecutive treatment naïve male patients with moderate to severe OSA from January to November of 2019. We excluded participants if they had dementia, stroke or heart disease. We collected demographic variables and vascular risk factors. We also obtained the insomnia severity index, the Epworth sleepiness scale and the Pittsburgh sleep quality index. We also obtained computerized neurocognitive testing with the go-no-go response inhibition test, Stroop interference test, catch game test, staged information processing speed test, verbal memory test and non-verbal memory test. We derived age and education adjusted domain-specific Z-scores for global cognition, memory, attention, processing speed and executive function. We used brain MRI T1-weighted images to derive total hippocampal and gray matter volumes. Partial correlations evaluated associations between variables from sleep questionnaires (e.g., insomnia severity index score), and polysomnographic variables (the apnea-hypopnea index, average oxygen levels during sleep) with cognitive domains and brain volumes. We examined 16 participants with an age range of 40–76 years, 73% Hispanic/Latino. The mean apnea-hypopnea index was 48.9 ± 25.5 and average oxygen saturation during sleep was 91.4% ± 6.9%. Hypertension was seen in 66% and diabetes mellitus in 27%. We found that the insomnia severity index score and average oxygen levels during sleep had the strongest correlations with brain volumes and cognition. These preliminary findings may aid in developing future strategies to improve age-related brain loss in patients with OSA.
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Affiliation(s)
- Alberto R. Ramos
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- Correspondence:
| | - Noam Alperin
- Department of Radiology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Sang Lee
- Department of Radiology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Kevin A. Gonzalez
- Department of Neuroscience, University of California, San Diego, CA 92093, USA
| | - Wassim Tarraf
- Department of Health Care Sciences, Institute of Gerontology, Wayne State University, Detroit, MI 48202, USA
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5
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Gump BB, Heffernan K, Bendinskas K, Hruska B, MacKenzie JA, Park A, Brann L, Atallah-Yunes NH. Association of Sleep Quality With Greater Left Ventricular Mass in Children Aged 9 to 11 Years. Psychosom Med 2021; 83:265-273. [PMID: 33534393 PMCID: PMC8016704 DOI: 10.1097/psy.0000000000000921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Research has consistently found associations between sleep characteristics and cardiovascular disease risk in children, adolescents, and adults. Although primarily investigated in clinical samples (e.g., in those with sleep disorders), greater left ventricular mass is associated with poor sleep quality in nonclinical adult populations as well; however, this has not been evaluated in children or adolescents. Our study aim was to consider the relationship between objectively measured sleep characteristics and left ventricular mass in children. METHODS We assessed sleep and cardiac structure in a biracial sample of 9- to 11-year-old children (n = 176; 41% White, 59% Black; 50% female). Sleep was assessed with actigraphy for five nights. Cardiac dimensions were assessed using echocardiography. RESULTS After adjusting for covariates, we found that poor sleep quality was associated with significantly greater left ventricular mass (β = 0.13, t(167) = 2.14, p = .034, Cohen d = 0.16, for activity during sleep; β = 0.15, t(167) = 2.43, p = .016, Cohen d = 0.18, for sleep fragmentation). Other cardiac dimensions (namely, relative wall thickness and right ventricular dimension) were also significantly associated with sleep characteristics. Notably, associations did not differ as a function of sex or race. CONCLUSIONS The present findings are novel and unique because no prior reports have systematically documented the association between poor sleep quality with potentially detrimental cardiac remodeling in a nonclinical sample of children. However, the novelty and importance of these findings require additional research for confirmation.
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Affiliation(s)
- Brooks B. Gump
- Department of Public Health, Syracuse University, United
States
| | - Kevin Heffernan
- Department of Exercise Science, Syracuse University, United
States
| | - Kestutis Bendinskas
- Department of Chemistry, State University of New York
College at Oswego, United States
| | - Bryce Hruska
- Department of Public Health, Syracuse University, United
States
| | - James A. MacKenzie
- Department of Biological Sciences, State University of New
York College at Oswego, United States
| | - Aesoon Park
- Department of Psychology, Syracuse University, United
States
| | - Lynn Brann
- Department of Nutrition, Syracuse University, United
States
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6
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Krasińska B, Cofta S, Szczepaniak-Chicheł L, Rzymski P, Trafas T, Paluszkiewicz L, Tykarski A, Krasiński Z. The Effects of Eplerenone on the Circadian Blood Pressure Pattern and Left Ventricular Hypertrophy in Patients with Obstructive Sleep Apnea and Resistant Hypertension-A Randomized, Controlled Trial. J Clin Med 2019; 8:jcm8101671. [PMID: 31614891 PMCID: PMC6832448 DOI: 10.3390/jcm8101671] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 09/25/2019] [Accepted: 10/03/2019] [Indexed: 12/19/2022] Open
Abstract
The obstructive sleep apnea (OSA) is highly associated with various significant cardiovascular outcomes such as resistant hypertension (RAH). Despite this, as of now the relationship between high night-time blood pressure (BP) and left ventricular hypertrophy (LVH) in patients with OSA and RAH is not fully understood. The aim of this study was to assess the influence of the addition of eplerenone to a standard antihypertensive therapy on parameters of 24-h ambulatory blood pressure measurement (ABPM) as well as on the results of echocardiography and polysomnography in patients with OSA and RAH. The patients were randomly assigned to one of the two study groups: the treatment group, receiving 50 mg/d eplerenone orally for 6 months (n = 51) and the control group, remaining on their standard antihypertensive therapy (n = 51). After that period, a significant reduction in the night-time BP parameters in the treatment group including an increased night blood pressure fall from 4.6 to 8.9% was noted. Additionally, the number of non-dipper patients was reduced by 45.1%. The treatment group also revealed a decrease in left ventricular hypertrophy and in the apnea-hypopnea index (AHI) with a positive correlation being observed between these two parameters. This study is the first to report the improvement of the circadian BP profile and the improvement of the left ventricle geometry in patients with OSA and RAH following the addition of selective mineralocorticoid receptor antagonists to antihypertensive therapy.
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Affiliation(s)
- Beata Krasińska
- Department of Hypertension, Angiology and Internal Disease, Poznan University of Medical Sciences, 61-848 Poznan, Poland.
| | - Szczepan Cofta
- Department of Pulmonology, Allergology and Lung Oncology, Poznan University of Medical Sciences, 61-001 Poznan, Poland.
| | - Ludwina Szczepaniak-Chicheł
- Department of Hypertension, Angiology and Internal Disease, Poznan University of Medical Sciences, 61-848 Poznan, Poland.
| | - Piotr Rzymski
- Department of Environmental Medicine, Poznan University of Medical Sciences, 60-806 Poznan, Poland.
| | - Tomasz Trafas
- Department of Pulmonology, Allergology and Lung Oncology, Poznan University of Medical Sciences, 61-001 Poznan, Poland.
| | - Lech Paluszkiewicz
- Bad Oeynhausen, Heart and Diabetes Center NRW, Ruhr-University of Bochum, 32545 Bad Oeynhausen, Germany.
| | - Andrzej Tykarski
- Department of Hypertension, Angiology and Internal Disease, Poznan University of Medical Sciences, 61-848 Poznan, Poland.
| | - Zbigniew Krasiński
- Department of Vascular, Endovascular Surgery, Angiology and Phlebology, Poznan University of Medical Sciences, 61-848 Poznan, Poland.
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