Neda Esmaeili, Gonzalo Labarca, Wen-Hsin Hu, Daniel Vena, Ludovico Messineo, Laura Gell, Mohammadreza Hajipour, Luigi Taranto-Montemurro, Scott A Sands, Susan Redline, Andrew Wellman, Mohammadreza Sehhati, Ali Azarbarzin
{"title":"基于自动识别的去饱和的低氧负荷与不良健康结果相关。","authors":"Neda Esmaeili, Gonzalo Labarca, Wen-Hsin Hu, Daniel Vena, Ludovico Messineo, Laura Gell, Mohammadreza Hajipour, Luigi Taranto-Montemurro, Scott A Sands, Susan Redline, Andrew Wellman, Mohammadreza Sehhati, Ali Azarbarzin","doi":"10.1513/AnnalsATS.202303-248OC","DOIUrl":null,"url":null,"abstract":"<p><p><b>Rationale:</b> Recent studies have shown that sleep apnea-specific intermittent hypoxemia quantified by the hypoxic burden (HB) predicted cardiovascular disease (CVD)-related mortality in community-based and clinical cohorts. Calculation of HB is based on manual scoring of hypopneas and apneas, which is time-consuming and prone to interscorer variability. <b>Objective:</b> To validate a novel method to quantify the HB that is based on automatically scored desaturations. <b>Methods:</b> The sample included 5,655 middle-aged or older adults from the Sleep Heart Health Study (52.8% women; age, 63.2 ± 11.3 yr). The original HB method was based on a subject-specific search window obtained from an ensemble average of oxygen saturation signals (as measured by pulse oximetry) and synchronized with respect to the termination of scored respiratory events. In this study, however, the search window was obtained from ensemble average of oxygen saturation signals that synchronized with respect to the minimum of all automatically identified desaturations (⩾2% and other thresholds, including 3% and 4%, in sensitivity analyses). The time interval between the two maxima around the minimum saturation was defined as the search window. The oximetry-derived HB (HB<sub>Oxi</sub>) was defined as the total area under all desaturation curves (restricted by the search window) divided by the total sleep time. Logistic and Cox regression models assessed the adjusted odds ratio (aOR)/hazard ratio of excessive daytime sleepiness (EDS), hypertension (HTN), and CVD mortality per 1-standard deviation increase in HB<sub>Oxi</sub> after adjusting for several covariates and confounders. <b>Results:</b> The Spearman's rank correlation between HB (median [interquartile range], 34.4 [18.4-59.8] % min/h) and HB<sub>Oxi</sub> (median [interquartile range], 34.5 [21.6-53.8] % min/h) was 0.81 (<i>P</i> < 0.001). Similar to HB, HB<sub>Oxi</sub> was significantly associated with EDS (aOR [95% confidence interval (CI)], 1.17 [1.09-1.26] per standard deviation), HTN (aOR [95% CI], 1.13 [1.05-1.21]), and CVD mortality (adjusted hazard ratio [95% CI], 1.15 [1.01-1.30]) in fully adjusted models. <b>Conclusions:</b> The HB<sub>Oxi</sub> was highly correlated with the HB based on manually scored apneas and hypopneas and was associated with EDS, HTN, and CVD mortality with similar effect sizes as previously reported. This method could be incorporated into wearable technology that accurately records oxygen saturation signals.</p>","PeriodicalId":8018,"journal":{"name":"Annals of the American Thoracic Society","volume":" ","pages":"1633-1641"},"PeriodicalIF":6.8000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632930/pdf/","citationCount":"0","resultStr":"{\"title\":\"Hypoxic Burden Based on Automatically Identified Desaturations Is Associated with Adverse Health Outcomes.\",\"authors\":\"Neda Esmaeili, Gonzalo Labarca, Wen-Hsin Hu, Daniel Vena, Ludovico Messineo, Laura Gell, Mohammadreza Hajipour, Luigi Taranto-Montemurro, Scott A Sands, Susan Redline, Andrew Wellman, Mohammadreza Sehhati, Ali Azarbarzin\",\"doi\":\"10.1513/AnnalsATS.202303-248OC\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Rationale:</b> Recent studies have shown that sleep apnea-specific intermittent hypoxemia quantified by the hypoxic burden (HB) predicted cardiovascular disease (CVD)-related mortality in community-based and clinical cohorts. Calculation of HB is based on manual scoring of hypopneas and apneas, which is time-consuming and prone to interscorer variability. <b>Objective:</b> To validate a novel method to quantify the HB that is based on automatically scored desaturations. <b>Methods:</b> The sample included 5,655 middle-aged or older adults from the Sleep Heart Health Study (52.8% women; age, 63.2 ± 11.3 yr). The original HB method was based on a subject-specific search window obtained from an ensemble average of oxygen saturation signals (as measured by pulse oximetry) and synchronized with respect to the termination of scored respiratory events. In this study, however, the search window was obtained from ensemble average of oxygen saturation signals that synchronized with respect to the minimum of all automatically identified desaturations (⩾2% and other thresholds, including 3% and 4%, in sensitivity analyses). The time interval between the two maxima around the minimum saturation was defined as the search window. The oximetry-derived HB (HB<sub>Oxi</sub>) was defined as the total area under all desaturation curves (restricted by the search window) divided by the total sleep time. Logistic and Cox regression models assessed the adjusted odds ratio (aOR)/hazard ratio of excessive daytime sleepiness (EDS), hypertension (HTN), and CVD mortality per 1-standard deviation increase in HB<sub>Oxi</sub> after adjusting for several covariates and confounders. <b>Results:</b> The Spearman's rank correlation between HB (median [interquartile range], 34.4 [18.4-59.8] % min/h) and HB<sub>Oxi</sub> (median [interquartile range], 34.5 [21.6-53.8] % min/h) was 0.81 (<i>P</i> < 0.001). Similar to HB, HB<sub>Oxi</sub> was significantly associated with EDS (aOR [95% confidence interval (CI)], 1.17 [1.09-1.26] per standard deviation), HTN (aOR [95% CI], 1.13 [1.05-1.21]), and CVD mortality (adjusted hazard ratio [95% CI], 1.15 [1.01-1.30]) in fully adjusted models. <b>Conclusions:</b> The HB<sub>Oxi</sub> was highly correlated with the HB based on manually scored apneas and hypopneas and was associated with EDS, HTN, and CVD mortality with similar effect sizes as previously reported. This method could be incorporated into wearable technology that accurately records oxygen saturation signals.</p>\",\"PeriodicalId\":8018,\"journal\":{\"name\":\"Annals of the American Thoracic Society\",\"volume\":\" \",\"pages\":\"1633-1641\"},\"PeriodicalIF\":6.8000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632930/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of the American Thoracic Society\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1513/AnnalsATS.202303-248OC\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"RESPIRATORY SYSTEM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of the American Thoracic Society","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1513/AnnalsATS.202303-248OC","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
Hypoxic Burden Based on Automatically Identified Desaturations Is Associated with Adverse Health Outcomes.
Rationale: Recent studies have shown that sleep apnea-specific intermittent hypoxemia quantified by the hypoxic burden (HB) predicted cardiovascular disease (CVD)-related mortality in community-based and clinical cohorts. Calculation of HB is based on manual scoring of hypopneas and apneas, which is time-consuming and prone to interscorer variability. Objective: To validate a novel method to quantify the HB that is based on automatically scored desaturations. Methods: The sample included 5,655 middle-aged or older adults from the Sleep Heart Health Study (52.8% women; age, 63.2 ± 11.3 yr). The original HB method was based on a subject-specific search window obtained from an ensemble average of oxygen saturation signals (as measured by pulse oximetry) and synchronized with respect to the termination of scored respiratory events. In this study, however, the search window was obtained from ensemble average of oxygen saturation signals that synchronized with respect to the minimum of all automatically identified desaturations (⩾2% and other thresholds, including 3% and 4%, in sensitivity analyses). The time interval between the two maxima around the minimum saturation was defined as the search window. The oximetry-derived HB (HBOxi) was defined as the total area under all desaturation curves (restricted by the search window) divided by the total sleep time. Logistic and Cox regression models assessed the adjusted odds ratio (aOR)/hazard ratio of excessive daytime sleepiness (EDS), hypertension (HTN), and CVD mortality per 1-standard deviation increase in HBOxi after adjusting for several covariates and confounders. Results: The Spearman's rank correlation between HB (median [interquartile range], 34.4 [18.4-59.8] % min/h) and HBOxi (median [interquartile range], 34.5 [21.6-53.8] % min/h) was 0.81 (P < 0.001). Similar to HB, HBOxi was significantly associated with EDS (aOR [95% confidence interval (CI)], 1.17 [1.09-1.26] per standard deviation), HTN (aOR [95% CI], 1.13 [1.05-1.21]), and CVD mortality (adjusted hazard ratio [95% CI], 1.15 [1.01-1.30]) in fully adjusted models. Conclusions: The HBOxi was highly correlated with the HB based on manually scored apneas and hypopneas and was associated with EDS, HTN, and CVD mortality with similar effect sizes as previously reported. This method could be incorporated into wearable technology that accurately records oxygen saturation signals.
期刊介绍:
The Annals of the American Thoracic Society (AnnalsATS) is the official international online journal of the American Thoracic Society. Formerly known as PATS, it provides comprehensive and authoritative coverage of a wide range of topics in adult and pediatric pulmonary medicine, respiratory sleep medicine, and adult medical critical care.
As a leading journal in its field, AnnalsATS offers up-to-date and reliable information that is directly applicable to clinical practice. It serves as a valuable resource for clinical specialists, supporting their formative and continuing education. Additionally, the journal is committed to promoting public health by publishing research and articles that contribute to the advancement of knowledge in these fields.