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Du J, Chen B, Chen L, Dai Y, Wu J, Zheng D, Zhang J, Li Y. High arousal threshold is associated with metabolic syndrome in patients with obstructive sleep apnea. Respir Med 2024; 234:107837. [PMID: 39426437 DOI: 10.1016/j.rmed.2024.107837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Revised: 09/21/2024] [Accepted: 10/10/2024] [Indexed: 10/21/2024]
Abstract
OBJECTIVE Obstructive sleep apnea (OSA) is associated with metabolic syndrome (MetS). OSA patients with high arousal threshold (ArTH) are less easy to arouse, which leads to more severe hypoxic events. We explored the relationship between high ArTH and MetS in patients with OSA. METHODS We conducted a cross-sectional study of 112 patients with OSA (mean age 43.50 ± 11.64 years, 89.29 % male). High ArTH was based on an overnight polysomnography, and defined as none or one of the following conditions: apnea-hypopnea index (AHI) < 30 events/hour, minimum oxygen saturation > 82.5 %, or frequency of hypopnea events > 58.3 %. Metabolic syndrome and its components were defined according to the new International Diabetes Federation definition. RESULTS Among the 112 OSA patients, 51 (45.54 %) had MetS and 68 (60.71 %) had high ArTH. Logistic regression, after adjusting for confounders, showed that patients with high ArTH had higher odds for MetS (OR = 4.31, 95 % CI = 1.63-11.42, p = 0.003), central obesity (OR = 5.78, 95 % CI = 1.95-17.16, p = 0.002) and hypertriglyceridemia (OR = 2.84, 95 % CI = 1.11-7.28, p = 0.030) compared to patients with low ArTH. Furthermore, higher ArTH levels were associated with higher values for waist circumference (p-for-trend < 0.001), triglycerides (p-for-trend = 0.042), and systolic blood pressure (p-for-trend = 0.037). Moreover, patients with high ArTH had more apnea events and less hypopnea events. CONCLUSIONS High ArTH is associated with MetS in OSA patients. High ArTH is a marker of the severity of cardiometabolic comorbidity in OSA.
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Affiliation(s)
- Jiahong Du
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China; Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China; Joint Lab of Biological Psychiatry Shantou University-University of Manitoba, Shantou University Medical College, Shantou, Guangdong, China
| | - Baixin Chen
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China; Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China; Joint Lab of Biological Psychiatry Shantou University-University of Manitoba, Shantou University Medical College, Shantou, Guangdong, China
| | - Le Chen
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China; Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China; Joint Lab of Biological Psychiatry Shantou University-University of Manitoba, Shantou University Medical College, Shantou, Guangdong, China
| | - Yanyuan Dai
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China; Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China; Joint Lab of Biological Psychiatry Shantou University-University of Manitoba, Shantou University Medical College, Shantou, Guangdong, China
| | - Jun Wu
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China; Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China; Joint Lab of Biological Psychiatry Shantou University-University of Manitoba, Shantou University Medical College, Shantou, Guangdong, China
| | - Dandan Zheng
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China; Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China; Joint Lab of Biological Psychiatry Shantou University-University of Manitoba, Shantou University Medical College, Shantou, Guangdong, China
| | - Jiansheng Zhang
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China; Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China; Joint Lab of Biological Psychiatry Shantou University-University of Manitoba, Shantou University Medical College, Shantou, Guangdong, China
| | - Yun Li
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China; Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China; Joint Lab of Biological Psychiatry Shantou University-University of Manitoba, Shantou University Medical College, Shantou, Guangdong, China.
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Wang Y, Wang X, Luo J, Qiu B, Huang R, Xiao Y. Urinary Epinephrine Sulfate Can Predict Cardiovascular Risk in Moderate-to-Severe OSA: A Metabolomics-Based Study. Nat Sci Sleep 2024; 16:1153-1168. [PMID: 39131167 PMCID: PMC11314438 DOI: 10.2147/nss.s470154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 07/27/2024] [Indexed: 08/13/2024] Open
Abstract
Purpose There are currently no ideal indicators for predicting the cardiovascular risk of obstructive sleep apnea (OSA). This study aimed to employ urinary metabolomics to detect early cardiovascular risk in patients with moderate-to-severe OSA. Patients and Methods Male participants who underwent polysomnography from November 2020 to May 2021 were screened. Clinical data, polysomnography data and urine samples were collected. Untargeted metabolomics analyses of urine were performed. Multivariate analyses and receiver operating characteristic (ROC) curve analyses were subsequently performed to identify potential biomarkers. Associations between metabolites and clinical indicators and cardiovascular risk were examined through linear regression analyses with interaction and mediation analyses. Results Thirty-six male participants were included in the study, comprising 22 males with moderate-to-severe OSA and 14 age-matched controls, with an average age of 39.6 ± 9.2 years. We identified 65 metabolites in the study, involving pathways including pyrimidine, androgen, estrogen, vitamin B6 and sulfate/sulfite metabolism. Among them, epinephrine sulfate was the most significantly altered metabolite. ROC analyses highlighted that epinephrine sulfate had the highest area under the curve (AUC=0.883) for detecting moderate-to-severe OSA. Epinephrine sulfate was statistically correlated with OSA severity, hypoxia-related indicators (apnea-hypopnea index: r=0.685; oxygen desaturation index: r=0.743, p<0.0001), arterial stiffness (arterial augmentation index: r=0.361, p=0.031) and long-term cardiovascular risk (Framingham cardiovascular risk: r=0.375, p=0.024). Linear regression analysis revealed that epinephrine sulfate was significantly associated with an increased in the Framingham risk (β = 0.004, 95% CI = 0.000-0.009, p = 0.049), with the effect partly mediated by systolic blood pressure (27.6%) and not moderated by other factors. Additionally, it also significantly associated with the increased in the arterial augmentation index (β = 0.019, 95% CI = 0.000-0.037, p = 0.046), with the effect fully mediated by blood pressure and not moderated by other indices statistically. Conclusion There are significant metabolic pathway alterations in moderate-to-severe OSA patients. Urinary epinephrine sulfate markedly predicts early cardiovascular risk in OSA patients.
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Affiliation(s)
- Yuxin Wang
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China
| | - Xiaona Wang
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China
- Department of Respiratory Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Jinmei Luo
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China
| | - Bintao Qiu
- Department of Central Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China
| | - Rong Huang
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China
| | - Yi Xiao
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China
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Zhang H, Zhang Z, Zhao Y, Song P, Chen X, Han P, Ding W, Zhang L, Yu C, Ma H, Guo Q. Association of the combination of obstructive sleep apnea risk and sleep duration with ideal cardiovascular health metrics in patients undergoing hemodialysis. BMC Nephrol 2024; 25:77. [PMID: 38429737 PMCID: PMC10908049 DOI: 10.1186/s12882-024-03517-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 02/20/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND The purpose of this study was to explore the separate and combined associations of obstructive sleep apnea (OSA) risk and sleep duration with ideal cardiovascular health metrics in hemodialysis (HD) patients. METHODS 470 HD participants (average: 59.48 ± 12.89 y, 281 men) were included in this study. Sleep duration was measured as self-reported average sleep time during the previous month. The OSA risk was assessed using the STOP-BANG questionnaire. Participants were divided into three groups based on the number of ideal cardiovascular health (CVH) metrics: 0-2,3-4, and 5-7. Ordinal logistic regression was conducted to model the associations of CVH metrics with sleep duration, OSA risk, and their combined effects by adjusting for specific covariates. RESULTS After adjusting for covariates, short sleep duration (< 7 h) (OR = 0.53; 95% CI [ 0.30, 0.92]) and OSA risk (OR = 0.58; 95% CI [0.32, 0.83]) were negatively associated with better CVH (ideal vs. intermediate; intermediate vs. poor), respectively. For HD patients with both short sleep duration and OSA risk, the odds of ideal CVH metrics were reduced by 72% (odds ratio 0.28 [95% CI 0.13, 0.60]). CONCLUSIONS Short sleep duration and OSA risk are separately and jointly associated with poor CVH in hemodialysis patients. Suitable interventions for sleep may minimize the risk of developing cardiovascular disease.
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Affiliation(s)
- Hui Zhang
- Jiangwan Hospital of Shanghai Hongkou District, Shanghai University of Medicine and Health Science Affiliated Rehabilitation Hospital, 1878 Sichuan North Road, 200081, Shanghai, China
| | - Ziwei Zhang
- Department of Ultrasonography, Fujian Provincial Hospital, Fuzhou, China
| | - Yinjiao Zhao
- Jiangwan Hospital of Shanghai Hongkou District, Shanghai University of Medicine and Health Science Affiliated Rehabilitation Hospital, 1878 Sichuan North Road, 200081, Shanghai, China
| | - Peiyu Song
- Jiangwan Hospital of Shanghai Hongkou District, Shanghai University of Medicine and Health Science Affiliated Rehabilitation Hospital, 1878 Sichuan North Road, 200081, Shanghai, China
| | - Xiaoyu Chen
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Peipei Han
- College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Wei Ding
- Department of Nephrology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liming Zhang
- Department of Nephrology, Zhabei Central Hospital of JingAn District of Shanghai, Shanghai, China
| | - Chen Yu
- Department of Nephrology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Huizhi Ma
- Jiangwan Hospital of Shanghai Hongkou District, Shanghai University of Medicine and Health Science Affiliated Rehabilitation Hospital, 1878 Sichuan North Road, 200081, Shanghai, China.
| | - Qi Guo
- Jiangwan Hospital of Shanghai Hongkou District, Shanghai University of Medicine and Health Science Affiliated Rehabilitation Hospital, 1878 Sichuan North Road, 200081, Shanghai, China.
- Department of Rehabilitation Medicine, School of Health, Fujian Medical University, 1 Xuefu North Road, 350122, Fuzhou, China.
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