{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T13:09:30Z","timestamp":1774962570926,"version":"3.50.1"},"reference-count":40,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2022,2,7]],"date-time":"2022-02-07T00:00:00Z","timestamp":1644192000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003196","name":"Ministero della Salute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003196","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Eur J Clin Investigation"],"published-print":{"date-parts":[[2022,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Biomarkers are used for diagnosis, risk stratification and medical decisions. Copeptin and mid\u2010regional proadrenomedullin (MR\u2010proADM) are markers of stress and endothelial function, respectively, which have been studied in pneumonia, sepsis and septic shock. This study aimed to assess whether copeptin and MR\u2010proADM could predict coronavirus disease 2019 (COVID\u201019) in\u2010hospital outcomes, that is multi\u2010system complications, length of stay and mortality.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Copeptin and MR\u2010proADM were assessed at admission in 116 patients hospitalized with COVID\u201019. Data were retrospectively extracted from an online database. The primary endpoint was in\u2010hospital mortality. The secondary endpoints were in\u2010hospital complications, the composite outcome \u2018death, or admission to intensive care unit, or in\u2010hospital complications\u2019, and length of stay. The predictive power was expressed as area under the receiver operator characteristic curve (AUROC).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Copeptin was increased in non\u2010survivors (median 29.7 [interquartile range 13.0\u2013106.2] pmol\/L) compared to survivors (10.9 [5.9\u201325.3] pmol\/L, <jats:italic>p\u00a0<\/jats:italic>&lt;\u00a00.01). The AUROC for mortality was 0.71, with a hazard ratio of 3.67 (<jats:italic>p\u00a0<\/jats:italic>&lt;\u00a00.01) for copeptin values\u00a0&gt;\u00a025.3\u00a0pmol\/L. MR\u2010proADM differentiated survivors (0.8 [0.6\u20131.1] nmol\/L) from non\u2010survivors (1.5 [1.1\u20132.8] nmol\/L, <jats:italic>p\u00a0<\/jats:italic>&lt;\u00a00.001) and yielded a AUROC of 0.79 and a hazard ratio of 7.02 (<jats:italic>p\u00a0<\/jats:italic>&lt;\u00a00.001) for MR\u2010proADM values\u00a0&gt;\u00a01.0\u00a0nmol\/L. Copeptin and MR\u2010proADM predicted sepsis (AUROC 0.95 and 0.96 respectively), acute kidney injury (0.87 and 0.90), the composite outcome (0.69 and 0.75) and length of stay (r\u00a0=\u00a00.42, <jats:italic>p\u00a0<\/jats:italic>&lt;\u00a00.001, and r\u00a0=\u00a00.46, <jats:italic>p\u00a0<\/jats:italic>&lt;\u00a00.001).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Admission MR\u2010proADM and copeptin may be implemented for early risk stratification in COVID\u201019\u2010hospitalized patients to help identify those eligible for closer monitoring and care intensification.<\/jats:p><\/jats:sec>","DOI":"10.1111\/eci.13753","type":"journal-article","created":{"date-parts":[[2022,2,7]],"date-time":"2022-02-07T09:14:15Z","timestamp":1644225255000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Prognostic value of copeptin and mid\u2010regional proadrenomedullin in COVID\u201019\u2010hospitalized patients"],"prefix":"10.1111","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5642-0563","authenticated-orcid":false,"given":"Rita","family":"Indirli","sequence":"first","affiliation":[{"name":"Endocrinology Unit Fondazione IRCCS Ca\u2019 Granda Ospedale Maggiore Policlinico  Milan Italy"},{"name":"Department of Clinical Sciences and Community Health University of Milan  Milan Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alessandra","family":"Bandera","sequence":"additional","affiliation":[{"name":"Infectious Diseases Unit Fondazione IRCCS Ca\u2019 Granda Ospedale Maggiore Policlinico  Milan Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8909-0345","authenticated-orcid":false,"given":"Luca","family":"Valenti","sequence":"additional","affiliation":[{"name":"Transfusion Medicine (Biobank) Fondazione IRCCS Ca\u2019 Granda Ospedale Maggiore Policlinico  Milan 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