Wenmei Zeng, Sulong Wu, Zhuofan Liu, Long Yuan, Bilin Chen, Yan Rong
{"title":"低氧负担和T90%作为阻塞性睡眠呼吸暂停患者心血管风险和心肌缺血的预测指标。","authors":"Wenmei Zeng, Sulong Wu, Zhuofan Liu, Long Yuan, Bilin Chen, Yan Rong","doi":"10.2147/NSS.S533596","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This study analyzed the role of hypoxic burden and the percentage of time with blood oxygen saturation below 90% (T90%) in assessing the myocardial ischemia and cardiovascular risk in obstructive sleep apnea (OSA) patients using portable sleep monitors.</p><p><strong>Patients and methods: </strong>We conducted a prospective observational study of hospitalized OSA patients diagnosed by portable sleep monitors at a single tertiary center in Southern China from January 2022 to March 2024. Cardiovascular risk was assessed with the China-PAR model including anthropometric measurements and risk factors. Myocardial ischemia was evaluated via electrocardiogram. Factors including hypoxic burden severity categories, apnea-hypopnea index severity categories, respiratory event durations (apnea%, hypopnea%, and combined%), and oxygen desaturation metrics (T90%/T85%/T80%) were analyzed with binary logistic regression for 10-year atherosclerotic cardiovascular disease (ASCVD) risk and myocardial ischemia evaluation in OSA patients. The diagnostic value was analyzed with the receiver operating characteristic curve.</p><p><strong>Results: </strong>A total of 311 OSA patients were included, with a median age of 53 years, 75.6% of whom were male. Among them, 51.4% demonstrated electrocardiogram changes indicative of myocardial ischemia, and 55.3% had moderate-to-high 10-year ASCVD risk. Patients with moderate-to-high ASCVD risk had higher hypoxic burdens and T90%. Both the hypoxic burden and T90% showed significant predictive value for cardiovascular risk stratification. Clinically meaningful thresholds were established: 125.8%min/h for hypoxic burden and 3.05% for T90% in ASCVD risk prediction (area under the curve 0.747-0.754), and 112.6%min/h and 4.20% for myocardial ischemia detection (area under the curve 0.741-0.769).</p><p><strong>Conclusion: </strong>The hypoxic burden and T90% obtained from portable sleep monitors can be valuable indicators for assessing cardiovascular risk in OSA patients. Cardiovascular risk stratification increases patient and physician vigilance toward the detrimental effects of OSA and provides practical decision points for clinicians for further evaluation and treatment.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"1557-1570"},"PeriodicalIF":3.4000,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12239998/pdf/","citationCount":"0","resultStr":"{\"title\":\"Hypoxic Burden and T90% as Predictive Indicators of Cardiovascular Risk and Myocardial Ischemia in Patients with Obstructive Sleep Apnea.\",\"authors\":\"Wenmei Zeng, Sulong Wu, Zhuofan Liu, Long Yuan, Bilin Chen, Yan Rong\",\"doi\":\"10.2147/NSS.S533596\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>This study analyzed the role of hypoxic burden and the percentage of time with blood oxygen saturation below 90% (T90%) in assessing the myocardial ischemia and cardiovascular risk in obstructive sleep apnea (OSA) patients using portable sleep monitors.</p><p><strong>Patients and methods: </strong>We conducted a prospective observational study of hospitalized OSA patients diagnosed by portable sleep monitors at a single tertiary center in Southern China from January 2022 to March 2024. Cardiovascular risk was assessed with the China-PAR model including anthropometric measurements and risk factors. Myocardial ischemia was evaluated via electrocardiogram. Factors including hypoxic burden severity categories, apnea-hypopnea index severity categories, respiratory event durations (apnea%, hypopnea%, and combined%), and oxygen desaturation metrics (T90%/T85%/T80%) were analyzed with binary logistic regression for 10-year atherosclerotic cardiovascular disease (ASCVD) risk and myocardial ischemia evaluation in OSA patients. The diagnostic value was analyzed with the receiver operating characteristic curve.</p><p><strong>Results: </strong>A total of 311 OSA patients were included, with a median age of 53 years, 75.6% of whom were male. Among them, 51.4% demonstrated electrocardiogram changes indicative of myocardial ischemia, and 55.3% had moderate-to-high 10-year ASCVD risk. Patients with moderate-to-high ASCVD risk had higher hypoxic burdens and T90%. Both the hypoxic burden and T90% showed significant predictive value for cardiovascular risk stratification. Clinically meaningful thresholds were established: 125.8%min/h for hypoxic burden and 3.05% for T90% in ASCVD risk prediction (area under the curve 0.747-0.754), and 112.6%min/h and 4.20% for myocardial ischemia detection (area under the curve 0.741-0.769).</p><p><strong>Conclusion: </strong>The hypoxic burden and T90% obtained from portable sleep monitors can be valuable indicators for assessing cardiovascular risk in OSA patients. Cardiovascular risk stratification increases patient and physician vigilance toward the detrimental effects of OSA and provides practical decision points for clinicians for further evaluation and treatment.</p>\",\"PeriodicalId\":18896,\"journal\":{\"name\":\"Nature and Science of Sleep\",\"volume\":\"17 \",\"pages\":\"1557-1570\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12239998/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature and Science of Sleep\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/NSS.S533596\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature and Science of Sleep","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/NSS.S533596","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Hypoxic Burden and T90% as Predictive Indicators of Cardiovascular Risk and Myocardial Ischemia in Patients with Obstructive Sleep Apnea.
Purpose: This study analyzed the role of hypoxic burden and the percentage of time with blood oxygen saturation below 90% (T90%) in assessing the myocardial ischemia and cardiovascular risk in obstructive sleep apnea (OSA) patients using portable sleep monitors.
Patients and methods: We conducted a prospective observational study of hospitalized OSA patients diagnosed by portable sleep monitors at a single tertiary center in Southern China from January 2022 to March 2024. Cardiovascular risk was assessed with the China-PAR model including anthropometric measurements and risk factors. Myocardial ischemia was evaluated via electrocardiogram. Factors including hypoxic burden severity categories, apnea-hypopnea index severity categories, respiratory event durations (apnea%, hypopnea%, and combined%), and oxygen desaturation metrics (T90%/T85%/T80%) were analyzed with binary logistic regression for 10-year atherosclerotic cardiovascular disease (ASCVD) risk and myocardial ischemia evaluation in OSA patients. The diagnostic value was analyzed with the receiver operating characteristic curve.
Results: A total of 311 OSA patients were included, with a median age of 53 years, 75.6% of whom were male. Among them, 51.4% demonstrated electrocardiogram changes indicative of myocardial ischemia, and 55.3% had moderate-to-high 10-year ASCVD risk. Patients with moderate-to-high ASCVD risk had higher hypoxic burdens and T90%. Both the hypoxic burden and T90% showed significant predictive value for cardiovascular risk stratification. Clinically meaningful thresholds were established: 125.8%min/h for hypoxic burden and 3.05% for T90% in ASCVD risk prediction (area under the curve 0.747-0.754), and 112.6%min/h and 4.20% for myocardial ischemia detection (area under the curve 0.741-0.769).
Conclusion: The hypoxic burden and T90% obtained from portable sleep monitors can be valuable indicators for assessing cardiovascular risk in OSA patients. Cardiovascular risk stratification increases patient and physician vigilance toward the detrimental effects of OSA and provides practical decision points for clinicians for further evaluation and treatment.
期刊介绍:
Nature and Science of Sleep is an international, peer-reviewed, open access journal covering all aspects of sleep science and sleep medicine, including the neurophysiology and functions of sleep, the genetics of sleep, sleep and society, biological rhythms, dreaming, sleep disorders and therapy, and strategies to optimize healthy sleep.
Specific topics covered in the journal include:
The functions of sleep in humans and other animals
Physiological and neurophysiological changes with sleep
The genetics of sleep and sleep differences
The neurotransmitters, receptors and pathways involved in controlling both sleep and wakefulness
Behavioral and pharmacological interventions aimed at improving sleep, and improving wakefulness
Sleep changes with development and with age
Sleep and reproduction (e.g., changes across the menstrual cycle, with pregnancy and menopause)
The science and nature of dreams
Sleep disorders
Impact of sleep and sleep disorders on health, daytime function and quality of life
Sleep problems secondary to clinical disorders
Interaction of society with sleep (e.g., consequences of shift work, occupational health, public health)
The microbiome and sleep
Chronotherapy
Impact of circadian rhythms on sleep, physiology, cognition and health
Mechanisms controlling circadian rhythms, centrally and peripherally
Impact of circadian rhythm disruptions (including night shift work, jet lag and social jet lag) on sleep, physiology, cognition and health
Behavioral and pharmacological interventions aimed at reducing adverse effects of circadian-related sleep disruption
Assessment of technologies and biomarkers for measuring sleep and/or circadian rhythms
Epigenetic markers of sleep or circadian disruption.