{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T15:36:10Z","timestamp":1771947370722,"version":"3.50.1"},"reference-count":43,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T00:00:00Z","timestamp":1656288000000},"content-version":"vor","delay-in-days":177,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Foundation of Xinjiang Medical University Affiliated Hospital of Traditional Chinese Medicine","award":["ZYY202103"],"award-info":[{"award-number":["ZYY202103"]}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Oxidative Medicine and Cellular Longevity"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:p><jats:italic>Background<\/jats:italic>. Obstructive sleep apnea syndrome (OSAS) is common in patients with chronic coronary syndrome (CCS); however, a predictive model of OSAS in patients with CCS remains rarely reported. The study aimed to construct a novel nomogram scoring system to predict OSAS comorbidity in patients with CCS. <jats:italic>Methods<\/jats:italic>. Consecutive CCS patients scheduled for sleep monitoring at our hospital from January 2019 to September 2020 were enrolled in the current study. Coronary CT angiography or coronary angiography was used for the diagnosis of CCS, and clinical characteristics of the patients were collected. Significant predictors for OSAS in patients with moderate\/severe CCS were estimated via logistic regression analysis, and a clinical nomogram was constructed. A calibration plot, examining discrimination (Harrell\u2019s concordance index) and decision curve analysis (DCA), was applied to validate the nomogram\u2019s predictive performance. Internal validity of the predictive model was assessed using bootstrapping (1000 replications). <jats:italic>Results<\/jats:italic>. The nomograms were constructed based on available clinical variables from 527 patients which were significantly associated with moderate\/severe OSAS in patients with CCS, including body mass index, impaired glucose tolerance, hypertension, diabetes mellitus, nonalcoholic fatty liver disease, and routine laboratory indices such as neutrophil to lymphocyte ratio, platelet\u2010to\u2010lymphocyte ratio, high\u2010density lipoprotein cholesterol, and low\u2010density lipoprotein cholesterol. The C\u2010index (0.793) and AUC (0.771, 95% CI: 0.731\u20130.811) demonstrated a favorable discriminative ability of the nomogram. Moreover, calibration plots revealed consistency between moderate\/severe OSAS predicted by the nomogram and validated by the results of sleep monitoring. Clinically, DCA showed that the nomogram had good discriminative ability to predict moderate\/severe OSAS in patients with CCS. <jats:italic>Conclusions<\/jats:italic>. The risk nomogram constructed via the routinely available clinical variables in patients with CCS showed satisfying discriminative ability to predict comorbid moderate\/severe OSAS, which may be useful for identification of high\u2010risk patients with OSAS in patients with CCS.<\/jats:p>","DOI":"10.1155\/2022\/5497134","type":"journal-article","created":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T23:50:36Z","timestamp":1656373836000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Novel Insights into the Predictors of Obstructive Sleep Apnea Syndrome in Patients with Chronic Coronary Syndrome: Development of a Predicting Model"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5376-6291","authenticated-orcid":false,"given":"Yanan","family":"Xu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zongwei","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1186-2410","authenticated-orcid":false,"given":"Benfang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Long","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuedong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1565-0837","authenticated-orcid":false,"given":"Yi","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7863-0331","authenticated-orcid":false,"given":"Jun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,6,27]]},"reference":[{"key":"e_1_2_12_1_2","first-page":"1958","article-title":"Diet collaborators, health effects of dietary risks in 195 countries, 1990-2017: a systematic analysis for the global burden of disease study 2017","volume":"2019","author":"GBD","year":"2017","journal-title":"Lancet"},{"key":"e_1_2_12_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-8587(19)30152-4"},{"key":"e_1_2_12_3_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.290.7.898"},{"key":"e_1_2_12_4_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.290.7.891"},{"key":"e_1_2_12_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-2600(15)00043-0"},{"key":"e_1_2_12_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.chest.2021.07.040"},{"key":"e_1_2_12_7_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12931-018-0761-8"},{"key":"e_1_2_12_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjcard.2017.06.035"},{"key":"e_1_2_12_9_2","first-page":"1","article-title":"A study of glycemic variability in patients with type 2 diabetes mellitus with obstructive sleep apnea syndrome using a continuous glucose monitoring system","volume":"6","author":"Khaire S. 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