Baseline predictors for 28-day COVID-19 severity and mortality among hospitalized patients: results from the IMPACC study

By afschroeder • July 22, 2025

Hou J, Haslund-Gourley B, Diray-Arce J, Hoch A, Rouphael N, Becker PM, Augustine AD, Ozonoff A, Guan L, Kleinstein SH, Peters B, Reed E, Altman M, Langelier CR, Maecker H, Kim S, Montgomery RR, Krammer F, Wilson M, Eckalbar W, Bosinger SE, Levy O, Steen H, Rosen LB, Baden LR, Melamed E, Ehrlich LIR, McComsey GA, Sekaly RP, Schaenman J, Shaw AC, Hafler DA, Corry DB, Kheradmand F, Atkinson MA, Brakenridge SC, Agudelo Higuita NI, Metcalf JP, Hough CL, Messer WB, Pulendran B, Nadeau KC, Davis MM, Fernandez Sesma A, Simon V, Kraft M, Bime C, Calfee CS, Erle DJ, Impacc Network, Robinson LF, Cairns CB, Haddad EK, Comunale MA. Baseline predictors for 28-day COVID-19 severity and mortality among hospitalized patients: results from the IMPACC study. Front Med (Lausanne). 2025 Jul 4;12:1604388. doi: 10.3389/fmed.2025.1604388. PMID: 40687705; PMCID: PMC12271175.

Tags: covid-19, FGF23, Infectious Diseases, machine learning, mortality, Publications, ribitol, severity, SpO2/FiO2, TNFRSF11B

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