{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T01:45:45Z","timestamp":1747187145033,"version":"3.40.5"},"reference-count":24,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2023,2,24]],"date-time":"2023-02-24T00:00:00Z","timestamp":1677196800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Nephrology"],"published-print":{"date-parts":[[2023,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Maintenance haemodialysis (HD) patients are at higher risk for severe coronavirus disease 2019 (COVID\u201019). Because of a limited number of facilities that can provide inpatient treatment for COVID\u201019 and HD, it is important to identify HD patients who are at high risk for severe COVID\u201019. For mild to moderate COVID\u201019 patients, chemokine CC\u2010motif ligand 17 (CCL17) was reported to be a predictive marker for severe COVID\u201019; however, the validity of CCL17 among HD patients is unknown.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This retrospective observational study enrolled 107 HD patients with mild or moderate COVID\u201019 at hospitalization (mean age 70.1\u2009\u00b1\u200915.1\u2009years; 71.0% male). Receiver operating characteristic and logistic regression analyses were used to examine the predictive validity of indices for severe COVID\u201019.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>During hospitalization, 32 patients developed severe COVID\u201019. Serum CCL17 collected at admission exhibited a higher area under the curve value (0.818) compared with that of other indicators including lactate\u00a0dehydrogenase and C\u2010reactive protein for the prediction of severe COVID\u201019. The optimal cut\u2010off value for CCL17 was 150.5\u2009pg\/mL. A multi\u2010variate logistic analysis revealed that CCL17 (above 150.5\u2009pg\/mL) was significantly associated with severe COVID\u201019 (Odds ratio, 0.063; 95% Confidence interval [CI], 0.017\u20130.227; <jats:italic>p<\/jats:italic>\u2009&lt;\u2009.001) even after adjustment for covariates. The addition of the CCL17 to a model consisting of vaccination status, albumin, blood urea nitrogen, C\u2010reacting protein and lactate dehydrogenase significantly improved classification performance for severe COVID\u201019 using the net reclassification (1.16, 95% CI: 0.82\u20131.50, <jats:italic>p<\/jats:italic>\u2009&lt;\u2009.001) and integrated discrimination (0.18, 95% CI: 0.09\u20130.26, <jats:italic>p<\/jats:italic>\u2009&lt;\u2009.001) improvement.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>CCL17 levels in HD patients with mild or moderate COVID\u201019 predict risk of developing severe COVID\u201019.<\/jats:p><\/jats:sec>","DOI":"10.1111\/nep.14151","type":"journal-article","created":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T07:38:09Z","timestamp":1676965089000},"page":"240-248","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Serum chemokine <scp>CC<\/scp>\u2010motif ligand 17 is a predictive marker of severe <scp>COVID<\/scp>\u201019 in haemodialysis patients: A retrospective observational study"],"prefix":"10.1111","volume":"28","author":[{"given":"Hiroko","family":"Beppu","sequence":"first","affiliation":[{"name":"Department of Nephrology Tokyo Metropolitan Okubo Hospital  Tokyo Japan"},{"name":"Department of Cooperative Graduate School, Graduate School of Medical and Dental Sciences Niigata University  Niigata Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7468-317X","authenticated-orcid":false,"given":"Tatsuya","family":"Fukuda","sequence":"additional","affiliation":[{"name":"Department of Endocrinology and Metabolism Tokyo Metropolitan Okubo Hospital  Tokyo Japan"},{"name":"Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences Tokyo Medical and Dental University  Tokyo 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