{"title":"阻塞性睡眠呼吸暂停综合征的合并症和人体测量参数:一项基于表型的研究。","authors":"Mihrican Yeşildağ, Faysal Duksal","doi":"10.1080/10641963.2025.2512136","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Obstructive Sleep Apnea Syndrome (OSAS) is a heterogeneous syndrome and shows different phenotypic, clinical and physiopathological features. The aim of this study was to examine the relationships between OSAS phenotypes and comorbidities and anthropometric measurements and to identify OSAS phenotypes that should be referred for early diagnosis and treatment.</p><p><strong>Materials and methods: </strong>We retrospectively reviewed 600 patients who underwent polysomnography (PSG) in our sleep center. Seven phenotypes were defined as Simple Snoring (SS)-Control, Mild, Moderate and Severe OSAS, Rem Dependent OSAS (RDO), Position Dependent OSAS (PDO) and Rem+Position dependent OSAS (R+PDO). Demographic data, anthropometric measurements and comorbid diseases of the patients were obtained retrospectively from their files. OSAS phenotypes were compared with comorbidities and anthropometric measurements.</p><p><strong>Results: </strong>Severe OSAS was the most common phenotype. Oxygen desaturation index (ODI) and anthropometric measurements showed significant differences between phenotypes (<i>p</i> < .001). Hypertension (HT) (43.7%) and ischemic heart disease (CHD) (14.2%) were the most common comorbidities and were most commonly associated with severe OSAS. In logistic regression analysis, neck circumference (NC) and body mass index (BMI) were the anthropometric measures that predicted OSAS phenotypes. NC and BMI predicted severe OSAS, NC predicted PDO and R+PDO, and BMI predicted RDO.</p><p><strong>Conclusion: </strong>This study revealed that OSAS phenotypes exhibit different clinical and anthropometric characteristics and differ in comorbidity risks. HT was found to be higher in severe OSAS, moderate OSAS and R+PDO, and CHD was higher in severe OSAS and RDO. Our study emphasized the importance of phenotypic characteristics as well as AHI in the management of comorbidities in OSAS.</p>","PeriodicalId":10333,"journal":{"name":"Clinical and Experimental Hypertension","volume":"47 1","pages":"2512136"},"PeriodicalIF":1.5000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comorbidities and anthropometric parameters in obstructive sleep apnea syndrome: a phenotype-based study.\",\"authors\":\"Mihrican Yeşildağ, Faysal Duksal\",\"doi\":\"10.1080/10641963.2025.2512136\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Obstructive Sleep Apnea Syndrome (OSAS) is a heterogeneous syndrome and shows different phenotypic, clinical and physiopathological features. The aim of this study was to examine the relationships between OSAS phenotypes and comorbidities and anthropometric measurements and to identify OSAS phenotypes that should be referred for early diagnosis and treatment.</p><p><strong>Materials and methods: </strong>We retrospectively reviewed 600 patients who underwent polysomnography (PSG) in our sleep center. Seven phenotypes were defined as Simple Snoring (SS)-Control, Mild, Moderate and Severe OSAS, Rem Dependent OSAS (RDO), Position Dependent OSAS (PDO) and Rem+Position dependent OSAS (R+PDO). Demographic data, anthropometric measurements and comorbid diseases of the patients were obtained retrospectively from their files. OSAS phenotypes were compared with comorbidities and anthropometric measurements.</p><p><strong>Results: </strong>Severe OSAS was the most common phenotype. Oxygen desaturation index (ODI) and anthropometric measurements showed significant differences between phenotypes (<i>p</i> < .001). Hypertension (HT) (43.7%) and ischemic heart disease (CHD) (14.2%) were the most common comorbidities and were most commonly associated with severe OSAS. In logistic regression analysis, neck circumference (NC) and body mass index (BMI) were the anthropometric measures that predicted OSAS phenotypes. NC and BMI predicted severe OSAS, NC predicted PDO and R+PDO, and BMI predicted RDO.</p><p><strong>Conclusion: </strong>This study revealed that OSAS phenotypes exhibit different clinical and anthropometric characteristics and differ in comorbidity risks. HT was found to be higher in severe OSAS, moderate OSAS and R+PDO, and CHD was higher in severe OSAS and RDO. Our study emphasized the importance of phenotypic characteristics as well as AHI in the management of comorbidities in OSAS.</p>\",\"PeriodicalId\":10333,\"journal\":{\"name\":\"Clinical and Experimental Hypertension\",\"volume\":\"47 1\",\"pages\":\"2512136\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2025-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical and Experimental Hypertension\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/10641963.2025.2512136\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/5/27 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"PERIPHERAL VASCULAR DISEASE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and Experimental Hypertension","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/10641963.2025.2512136","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/5/27 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"PERIPHERAL VASCULAR DISEASE","Score":null,"Total":0}
Comorbidities and anthropometric parameters in obstructive sleep apnea syndrome: a phenotype-based study.
Purpose: Obstructive Sleep Apnea Syndrome (OSAS) is a heterogeneous syndrome and shows different phenotypic, clinical and physiopathological features. The aim of this study was to examine the relationships between OSAS phenotypes and comorbidities and anthropometric measurements and to identify OSAS phenotypes that should be referred for early diagnosis and treatment.
Materials and methods: We retrospectively reviewed 600 patients who underwent polysomnography (PSG) in our sleep center. Seven phenotypes were defined as Simple Snoring (SS)-Control, Mild, Moderate and Severe OSAS, Rem Dependent OSAS (RDO), Position Dependent OSAS (PDO) and Rem+Position dependent OSAS (R+PDO). Demographic data, anthropometric measurements and comorbid diseases of the patients were obtained retrospectively from their files. OSAS phenotypes were compared with comorbidities and anthropometric measurements.
Results: Severe OSAS was the most common phenotype. Oxygen desaturation index (ODI) and anthropometric measurements showed significant differences between phenotypes (p < .001). Hypertension (HT) (43.7%) and ischemic heart disease (CHD) (14.2%) were the most common comorbidities and were most commonly associated with severe OSAS. In logistic regression analysis, neck circumference (NC) and body mass index (BMI) were the anthropometric measures that predicted OSAS phenotypes. NC and BMI predicted severe OSAS, NC predicted PDO and R+PDO, and BMI predicted RDO.
Conclusion: This study revealed that OSAS phenotypes exhibit different clinical and anthropometric characteristics and differ in comorbidity risks. HT was found to be higher in severe OSAS, moderate OSAS and R+PDO, and CHD was higher in severe OSAS and RDO. Our study emphasized the importance of phenotypic characteristics as well as AHI in the management of comorbidities in OSAS.
期刊介绍:
Clinical and Experimental Hypertension is a reputable journal that has converted to a full Open Access format starting from Volume 45 in 2023. While previous volumes are still accessible through a Pay to Read model, the journal now provides free and open access to its content. It serves as an international platform for the exchange of up-to-date scientific and clinical information concerning both human and animal hypertension. The journal publishes a wide range of articles, including full research papers, solicited and unsolicited reviews, and commentaries. Through these publications, the journal aims to enhance current understanding and support the timely detection, management, control, and prevention of hypertension-related conditions.
One notable aspect of Clinical and Experimental Hypertension is its coverage of special issues that focus on the proceedings of symposia dedicated to hypertension research. This feature allows researchers and clinicians to delve deeper into the latest advancements in this field.
The journal is abstracted and indexed in several renowned databases, including Pharmacoeconomics and Outcomes News (Online), Reactions Weekly (Online), CABI, EBSCOhost, Elsevier BV, International Atomic Energy Agency, and the National Library of Medicine, among others. These affiliations ensure that the journal's content receives broad visibility and facilitates its discoverability by professionals and researchers in related disciplines.