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Sonsuwan N, Houngsuwannakorn K, Chattipakorn N, Sawanyawisuth K. An association between heart rate variability and pediatric obstructive sleep apnea. Ital J Pediatr 2024; 50:54. [PMID: 38500213 PMCID: PMC10949611 DOI: 10.1186/s13052-024-01576-2] [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: 03/16/2023] [Accepted: 01/03/2024] [Indexed: 03/20/2024] Open
Abstract
BACKGROUND There are different findings on heart rate variability (HRV) and pediatric obstructive sleep apnea (pOSA) by an overnight HRV or a 1-hr HRV. However, there is limited data of HRV and pOSA diagnosis by using a 24-h HRV test. This study aimed to evaluate if HRV had potential for OSA diagnosis by using a 24-h HRV test. METHODS This was a prospective study included children age between 5 and 15 years old, presenting with snoring, underwent polysomnography and a 24-h Holter monitoring. Predictors for pOSA diagnosis were analyzed using logistic regression analysis. RESULTS During the study period, there were 81 pediatric patients met the study criteria. Of those, 65 patients (80.25%) were diagnosed as OSA. There were three factors were independently associated with OSA: standard deviation of all normal interval (SDNN), high frequency (HF), and low frequency (LF). The adjusted odds ratios of these factors were 0.949 (95% confidence interval 0.913, 0.985), 0.786 (95% confidence interval 0.624, 0.989), and 1.356 (95% confidence interval 1.075, 1.709). CONCLUSIONS HRV parameters including SDNN, HF, and LF were associated with pOSA diagnosis in children by using the 24-h Holter monitoring.
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Affiliation(s)
- Nuntigar Sonsuwan
- Department of Otolaryngology Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
| | | | - Nipon Chattipakorn
- Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Kittisak Sawanyawisuth
- Department of Medicine, Faculty of Medicine, Khon Kaen University, 123 Mitraparp Road, 40002, Khon Kaen, Thailand.
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Li K, Zhao J, Yang W, Ye Z. Sleep traits and risk of end-stage renal disease: a mendelian randomization study. BMC Med Genomics 2023; 16:76. [PMID: 37029366 PMCID: PMC10080763 DOI: 10.1186/s12920-023-01497-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 03/23/2023] [Indexed: 04/09/2023] Open
Abstract
BACKGROUND Epidemiological evidence relating sleep disorders to end-stage renal disease (ESRD) has been obscure. The present study is sought to examine the association between sleep traits and ESRD. METHODS For this analysis, we selected genetic instruments for sleep traits from published genome-wide association studies (GWAS). As instrumental variables, independent genetic variations linked with seven sleep-related features (sleep duration, getting up in the morning, daytime napping, chronotype of morning/evening person, sleeplessness/insomnia, non-snoring, and daytime dozing) were chosen. A two-sample Mendelian randomization (TSMR) study was conducted to assess the causal relationship between sleep traits and ESRD (N = 33,061). The reverse MR analysis subsequently determined the causal relationship between ESRD and sleep traits. The causal effects were estimated using inverse variance weighted, MR-Egger, weighted median. To conduct sensitivity studies, Cochran's Q test, MR-Egger intercept test, MR-PRESSO, leave-one-out analysis, and funnel plot were used. To study the potential mediators, multivariable mendelian randomization analyses were undertaken further. RESULTS Genetically predicted sleeplessness/ insomnia (OR = 6.11, 95%CI 1.00-37.3, P = 0.049, FDR = 0.105), getting up in the morning easily(OR = 0.23, 95%CI 0.063-0.85; P = 0.0278, FDR = 0.105), non-snoring (OR = 4.76E-02, 95%CI 2.29E-03-0.985, P = 0.0488, FDR = 0.105) was suggestively associated with the risk of ESRD. However, we found no evidence favoring a causal association between other sleep traits and ESRD through the IVW method. CONCLUSION The present TSMR found no strong evidence of a bidirectional causal association between genetically predicted sleep traits and ESRD.
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Affiliation(s)
- Kaixin Li
- Department of Nephrology, Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, 200040, China
| | - Jiaxi Zhao
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Wenjing Yang
- Huadong Hospital Affiliated to Fudan University, Shanghai, 200040, China
| | - Zhibin Ye
- Department of Nephrology, Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, 200040, China.
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Statello R, Rossi S, Pisani F, Bonzini M, Andreoli R, Martini A, Puligheddu M, Cocco P, Miragoli M. Nocturnal Heart Rate Variability Might Help in Predicting Severe Obstructive Sleep-Disordered Breathing. BIOLOGY 2023; 12:biology12040533. [PMID: 37106734 PMCID: PMC10135696 DOI: 10.3390/biology12040533] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/22/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023]
Abstract
Obstructive sleep apnea (OSA) can have long-term cardiovascular and metabolic effects. The identification of OSA-related impairments would provide diagnostic and prognostic value. Heart rate variability (HRV) as a measure of cardiac autonomic regulation is a promising candidate marker of OSA and OSA-related conditions. We took advantage of the Physionet Apnea-ECG database for two purposes. First, we performed time- and frequency-domain analysis of nocturnal HRV on each recording of this database to evaluate the cardiac autonomic regulation in patients with nighttime sleep breathing disorders. Second, we conducted a logistic regression analysis (backward stepwise) to identify the HRV indices able to predict the apnea–hypopnea index (AHI) categories (i.e., “Severe OSA”, AHI ≥ 30; “Moderate-Mild OSA”, 5 ≥ AHI < 30; and “Normal”, AHI < 5). Compared to the “Normal”, the “Severe OSA” group showed lower high-frequency power in normalized units (HFnu) and higher low-frequency power in normalized units (LFnu). The standard deviation of normal R–R intervals (SDNN) and the root mean square of successive R–R interval differences (RMSSD) were independently associated with sleep-disordered breathing. Our findings suggest altered cardiac autonomic regulation with a reduced parasympathetic component in OSA patients and suggest a role of nighttime HRV in the characterization and identification of sleep breathing disorders.
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Lee LA, Chuang HH, Hsieh HS, Wang CY, Chuang LP, Li HY, Fang TJ, Huang YS, Lee GS, Yang AC, Kuo TBJ, Yang CCH. Using sleep heart rate variability to investigate the sleep quality in children with obstructive sleep apnea. Front Public Health 2023; 11:1103085. [PMID: 36923030 PMCID: PMC10008856 DOI: 10.3389/fpubh.2023.1103085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 02/10/2023] [Indexed: 03/03/2023] Open
Abstract
Background Obstructive sleep apnea (OSA) is associated with impaired sleep quality and autonomic dysfunction. Adenotonsillectomy significantly improves subjective and objective sleep quality in children with OSA. However, the postoperative changes in heart rate variability (HRV) indices (indicators of cardiac autonomic function) and their importance remain inconclusive in childhood OSA. This retrospective case series aimed to investigate the association of sleep HRV indices, total OSA-18 questionnaire score (a subjective indicator of sleep quality) and polysomnographic parameters (objective indicators of sleep quality), and effects of adenotonsillectomy on HRV indices, total OSA-18 questionnaire score and polysomnographic parameters in children with OSA. Methods Seventy-six children with OSA were included in baseline analysis, of whom 64 (84%) completed at least 3 months follow-up examinations after adenotonsillectomy and were included in outcome analysis. Associations between baseline variables, and relationships with treatment-related changes were examined. Results Multivariable linear regression models in the baseline analysis revealed independent relationships between tonsil size and obstructive apnea-hypopnea index (OAHI), adenoidal-nasopharyngeal ratio and very low frequency (VLF) power of HRV (an indicator of sympathetic activity), and normalized low frequency power (an indicator of sympathetic activity) and OAHI. The outcome analysis showed that adenotonsillectomy significantly improved standard deviation of all normal-to-normal intervals, and high frequency power, QoL (in terms of reduced total OSA-18 questionnaire score), OAHI and hypoxemia. Using a conceptual serial multiple mediation model, % change in OSA-18 questionnaire score and % change in VLF power serially mediated the relationships between change in tonsil size and % change in OAHI. Conclusions The improvement in OAHI after adenotonsillectomy was serially mediated by reductions in total OSA-18 questionnaire score and VLF power. These preliminary findings are novel and provide a direction for future research to investigate the effects of VLF power-guided interventions on childhood OSA.
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Affiliation(s)
- Li-Ang Lee
- Department of Otorhinolaryngology-Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.,Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, Chang Gung University, Taoyuan, Taiwan.,Sleep Center, Metabolism and Obesity Institute, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.,School of Medicine, National Tsing Hua University, Hsinchu, Taiwan.,Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei CIty, Taiwan
| | - Hai-Hua Chuang
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, Chang Gung University, Taoyuan, Taiwan.,Sleep Center, Metabolism and Obesity Institute, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.,School of Medicine, National Tsing Hua University, Hsinchu, Taiwan.,Department of Family Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Hui-Shan Hsieh
- Department of Otorhinolaryngology-Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.,Department of Otolaryngology, Xiamen Chang Gung Hospital, Xiamen, Fujian, China
| | - Chao-Yung Wang
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, Chang Gung University, Taoyuan, Taiwan.,Sleep Center, Metabolism and Obesity Institute, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.,Department of Cardiology, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Li-Pang Chuang
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, Chang Gung University, Taoyuan, Taiwan.,Sleep Center, Metabolism and Obesity Institute, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.,Department of Pulmonary and Critical Care Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Hsueh-Yu Li
- Department of Otorhinolaryngology-Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.,Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, Chang Gung University, Taoyuan, Taiwan.,Sleep Center, Metabolism and Obesity Institute, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Tuan-Jen Fang
- Department of Otorhinolaryngology-Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.,Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Shu Huang
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, Chang Gung University, Taoyuan, Taiwan.,Sleep Center, Metabolism and Obesity Institute, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.,Department of Child Psychiatry, Linkou Chang-Gung Memorial Hospital, Taoyuan, Taiwan
| | - Guo-She Lee
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, Chang Gung University, Taoyuan, Taiwan.,Department of Otolaryngology, Taipei City Hospital, Taipei City, Taiwan
| | - Albert C Yang
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei CIty, Taiwan.,Department of Psychiatry, Taipei Veterans General Hospital, Taipei City, Taiwan
| | - Terry B J Kuo
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei CIty, Taiwan.,Center for Mind and Brain Medicine, Tsaotun Psychiatric Center, Ministry of Health and Welfare, Nantou City, Taiwan.,Sleep Research Center, National Yang Ming Chiao Tung University, Taipei City, Taiwan
| | - Cheryl C H Yang
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei CIty, Taiwan.,Sleep Research Center, National Yang Ming Chiao Tung University, Taipei City, Taiwan
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