{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T00:41:13Z","timestamp":1775176873533,"version":"3.50.1"},"reference-count":21,"publisher":"Wiley","issue":"17","license":[{"start":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T00:00:00Z","timestamp":1754352000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical Laboratory Analysis"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>The use of biomarkers in emergency room decision\u2010making has significantly increased, particularly during the COVID\u201019 pandemic, due to urgent clinical needs. SARS\u2010CoV\u20102 infection presents a spectrum of symptoms, from asymptomatic cases to severe pneumonia with respiratory failure. During the pandemic, various prognostic tools and biomarkers have been used to quickly guide patients to appropriate care upon admission. This study evaluated the effectiveness of a multimarker approach for early risk stratification of patients with confirmed SARS\u2010CoV\u20102 infection in the Emergency Department. It aimed to determine if a combined biomarker panel could better predict COVID\u201019 severity than single biomarkers, aiding in clinical decision\u2010making and resource management.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This retrospective observational study analyzed data from 265 patients with suspected COVID\u201019 admitted to the Emergency Department at the University Hospital Tor Vergata in Rome from April to December 2020. SARS\u2010CoV\u20102 infection was confirmed by RT\u2010PCR swabs. Clinical features and biomarker levels were analyzed, and mortality prediction was assessed using ROC curve analysis to determine the AUC.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Results demonstrated that the predictive power for mortality increased when multiple biomarkers were considered together. The most comprehensive panel, combining MR\u2010proADM, CRP, D\u2010dimer, LDH, and CT score, achieved the highest accuracy (AUC: 0.866), outperforming any individual marker.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Combining multiple biomarkers improved the prediction of disease severity over individual biomarkers. These findings suggest that using a comprehensive biomarker panel can more accurately predict SARS\u2010CoV\u20102 severity, supporting its potential utility for early risk stratification in various emergency settings and aiding in the efficient allocation of healthcare resources.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jcla.70084","type":"journal-article","created":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T07:38:41Z","timestamp":1754379521000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multimarker Approach: An Effective Tool in the Risk Stratification of Patients Admitted to the Emergency Department"],"prefix":"10.1002","volume":"39","author":[{"given":"Marilena","family":"Minieri","sequence":"first","affiliation":[{"name":"Department of Experimental Medicine University of Rome Tor Vergata  Rome Italy"},{"name":"Unit of Laboratory Medicine University Hospital Tor Vergata  Rome 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