Maree Azzopardi, Richard Parsons, Gemma Cadby, Stuart King, Nigel McArdle, Bhajan Singh, David R Hillman
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Attempts to stratify this risk have been inadequate, and predictors from large, well-characterized cohort studies are needed.</p><p><strong>Research question: </strong>What is the relationship between OSA severity, defined by various polysomnography-derived metrics, and risk of postoperative cardiorespiratory complications or death, and which metrics best identify such risk?</p><p><strong>Study design and methods: </strong>In this cohort study, 6,770 consecutive patients who underwent diagnostic polysomnography for possible OSA and a procedure involving general anesthesia within a period of 2 years before and at least 5 years after polysomnography. Participants were identified by linking polysomnography and health databases. Relationships between OSA severity measures and the composite primary outcome of cardiorespiratory complications or death within 30 days of hospital discharge were investigated using univariable and multivariable analyses.</p><p><strong>Results: </strong>The primary outcome was observed in 5.3% (n = 361) of the cohort. Although univariable analysis showed strong dose-response relationships between this outcome and multiple OSA severity measures, multivariable analysis showed its independent predictors were: age older than 65 years (OR, 2.67 [95% CI, 2.03-3.52]; P < .0001), age 55.1 to 65 years (OR, 1.47 [95% CI, 1.09-1.98]; P = .0111), time between polysomnography and procedure of ≥ 5 years (OR, 1.32 [95% CI, 1.02-1.70]; P = .0331), BMI of ≥ 35 kg/m<sup>2</sup> (OR, 1.43 [95% CI, 1.13-1.82]; P = .0032), presence of known cardiorespiratory risk factor (OR, 1.63 [95% CI, 1.29-2.06]; P < .0001), > 4.7% of sleep time at an oxygen saturation measured by pulse oximetry of < 90% (T90; OR, 1.91 [95% CI, 1.51-2.42]; P < .0001), and cardiothoracic procedures (OR, 7.95 [95% CI, 5.71-11.08]; P < .0001). For noncardiothoracic procedures, age, BMI, presence of known cardiorespiratory risk factor, and percentage of sleep time at an oxygen saturation of < 90% remained the significant predictors, and a risk score based on their ORs was predictive of outcome (area under receiver operating characteristic curve, 0.7 [95% CI, 0.64-0.75]).</p><p><strong>Interpretation: </strong>These findings provide a basis for better identifying high-risk patients with OSA and determining appropriate postoperative care.</p>","PeriodicalId":9782,"journal":{"name":"Chest","volume":" ","pages":"1197-1208"},"PeriodicalIF":9.5000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identifying Risk of Postoperative Cardiorespiratory Complications in OSA.\",\"authors\":\"Maree Azzopardi, Richard Parsons, Gemma Cadby, Stuart King, Nigel McArdle, Bhajan Singh, David R Hillman\",\"doi\":\"10.1016/j.chest.2024.04.045\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Patients with OSA are at increased risk of postoperative cardiorespiratory complications and death. Attempts to stratify this risk have been inadequate, and predictors from large, well-characterized cohort studies are needed.</p><p><strong>Research question: </strong>What is the relationship between OSA severity, defined by various polysomnography-derived metrics, and risk of postoperative cardiorespiratory complications or death, and which metrics best identify such risk?</p><p><strong>Study design and methods: </strong>In this cohort study, 6,770 consecutive patients who underwent diagnostic polysomnography for possible OSA and a procedure involving general anesthesia within a period of 2 years before and at least 5 years after polysomnography. Participants were identified by linking polysomnography and health databases. Relationships between OSA severity measures and the composite primary outcome of cardiorespiratory complications or death within 30 days of hospital discharge were investigated using univariable and multivariable analyses.</p><p><strong>Results: </strong>The primary outcome was observed in 5.3% (n = 361) of the cohort. Although univariable analysis showed strong dose-response relationships between this outcome and multiple OSA severity measures, multivariable analysis showed its independent predictors were: age older than 65 years (OR, 2.67 [95% CI, 2.03-3.52]; P < .0001), age 55.1 to 65 years (OR, 1.47 [95% CI, 1.09-1.98]; P = .0111), time between polysomnography and procedure of ≥ 5 years (OR, 1.32 [95% CI, 1.02-1.70]; P = .0331), BMI of ≥ 35 kg/m<sup>2</sup> (OR, 1.43 [95% CI, 1.13-1.82]; P = .0032), presence of known cardiorespiratory risk factor (OR, 1.63 [95% CI, 1.29-2.06]; P < .0001), > 4.7% of sleep time at an oxygen saturation measured by pulse oximetry of < 90% (T90; OR, 1.91 [95% CI, 1.51-2.42]; P < .0001), and cardiothoracic procedures (OR, 7.95 [95% CI, 5.71-11.08]; P < .0001). 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引用次数: 0
摘要
背景:阻塞性睡眠呼吸暂停(OSA)患者术后发生心肺并发症和死亡的风险增加。对这种风险进行分层的尝试并不充分,因此需要从大型、特征明确的队列研究中获得预测指标:研究问题:以多种多导睡眠图指标定义的 OSA 严重程度与术后心肺并发症或死亡风险之间的关系是什么?对6770名连续患者进行队列研究,这些患者因可能患有OSA而接受了多导睡眠图诊断,并在接受多导睡眠图诊断前2年内和接受多导睡眠图诊断后至少5年内进行了涉及全身麻醉的手术。通过连接多导睡眠图和健康数据库来确定参与者。通过单变量和多变量分析研究了OSA严重程度与出院后30天内心肺并发症或死亡这一复合主要结果之间的关系:结果:5.3%的患者(n=361)出现了主要结果。单变量分析表明,该结果与多种 OSA 严重程度指标之间存在强烈的剂量反应关系,而多变量分析表明,其独立预测因素包括:年龄大于 65 岁(OR 2.67 [95%CI 2.03-3.52],p2(OR 1.43 [1.13-1.82],p=0.0032);存在已知的心肺危险因素(OR 1.63 [1.29-2.06],p4.7%的睡眠时间SpO2低于90%(T90)(OR 1.91 [1.51-2.42],p解释:这些发现为更好地识别高危 OSA 患者和确定适当的术后护理提供了依据。
Identifying Risk of Postoperative Cardiorespiratory Complications in OSA.
Background: Patients with OSA are at increased risk of postoperative cardiorespiratory complications and death. Attempts to stratify this risk have been inadequate, and predictors from large, well-characterized cohort studies are needed.
Research question: What is the relationship between OSA severity, defined by various polysomnography-derived metrics, and risk of postoperative cardiorespiratory complications or death, and which metrics best identify such risk?
Study design and methods: In this cohort study, 6,770 consecutive patients who underwent diagnostic polysomnography for possible OSA and a procedure involving general anesthesia within a period of 2 years before and at least 5 years after polysomnography. Participants were identified by linking polysomnography and health databases. Relationships between OSA severity measures and the composite primary outcome of cardiorespiratory complications or death within 30 days of hospital discharge were investigated using univariable and multivariable analyses.
Results: The primary outcome was observed in 5.3% (n = 361) of the cohort. Although univariable analysis showed strong dose-response relationships between this outcome and multiple OSA severity measures, multivariable analysis showed its independent predictors were: age older than 65 years (OR, 2.67 [95% CI, 2.03-3.52]; P < .0001), age 55.1 to 65 years (OR, 1.47 [95% CI, 1.09-1.98]; P = .0111), time between polysomnography and procedure of ≥ 5 years (OR, 1.32 [95% CI, 1.02-1.70]; P = .0331), BMI of ≥ 35 kg/m2 (OR, 1.43 [95% CI, 1.13-1.82]; P = .0032), presence of known cardiorespiratory risk factor (OR, 1.63 [95% CI, 1.29-2.06]; P < .0001), > 4.7% of sleep time at an oxygen saturation measured by pulse oximetry of < 90% (T90; OR, 1.91 [95% CI, 1.51-2.42]; P < .0001), and cardiothoracic procedures (OR, 7.95 [95% CI, 5.71-11.08]; P < .0001). For noncardiothoracic procedures, age, BMI, presence of known cardiorespiratory risk factor, and percentage of sleep time at an oxygen saturation of < 90% remained the significant predictors, and a risk score based on their ORs was predictive of outcome (area under receiver operating characteristic curve, 0.7 [95% CI, 0.64-0.75]).
Interpretation: These findings provide a basis for better identifying high-risk patients with OSA and determining appropriate postoperative care.
期刊介绍:
At CHEST, our mission is to revolutionize patient care through the collaboration of multidisciplinary clinicians in the fields of pulmonary, critical care, and sleep medicine. We achieve this by publishing cutting-edge clinical research that addresses current challenges and brings forth future advancements. To enhance understanding in a rapidly evolving field, CHEST also features review articles, commentaries, and facilitates discussions on emerging controversies. We place great emphasis on scientific rigor, employing a rigorous peer review process, and ensuring all accepted content is published online within two weeks.