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MR-proADM as prognostic factor of outcome in COVID-19 patients.
Sozio, Emanuela; Tascini, Carlo; Fabris, Martina; D'Aurizio, Federica; De Carlo, Chiara; Graziano, Elena; Bassi, Flavio; Sbrana, Francesco; Ripoli, Andrea; Pagotto, Alberto; Giacinta, Alessandro; Gerussi, Valentina; Visentini, Daniela; De Stefanis, Paola; Merelli, Maria; Saeed, Kordo; Curcio, Francesco.
  • Sozio E; U.O. Malattie Infettive, Dipartimento Di Medicina Dell'Università Di Udine, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Via Pozzuolo, 330, 33100, Udine, Italy.
  • Tascini C; U.O. Malattie Infettive, Dipartimento Di Medicina Dell'Università Di Udine, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Via Pozzuolo, 330, 33100, Udine, Italy. c.tascini@gmail.com.
  • Fabris M; Istituto Di Patologia Clinica, Azienda Sanitaria Universitaria Integrata Di Udine (ASUID), Udine, Italy.
  • D'Aurizio F; Istituto Di Patologia Clinica, Azienda Sanitaria Universitaria Integrata Di Udine (ASUID), Udine, Italy.
  • De Carlo C; U.O. Malattie Infettive, Dipartimento Di Medicina Dell'Università Di Udine, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Via Pozzuolo, 330, 33100, Udine, Italy.
  • Graziano E; U.O. Malattie Infettive, Dipartimento Di Medicina Dell'Università Di Udine, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Via Pozzuolo, 330, 33100, Udine, Italy.
  • Bassi F; SOC Anestesia E Rianimazione 2, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Udine, Italy.
  • Sbrana F; U.O. Lipoapheresis and Center for Inherited Dyslipidemias, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
  • Ripoli A; Deep Health Unit, Fondazione Toscana "Gabriele Monasterio", Pisa, Italy.
  • Pagotto A; U.O. Malattie Infettive, Dipartimento Di Medicina Dell'Università Di Udine, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Via Pozzuolo, 330, 33100, Udine, Italy.
  • Giacinta A; U.O. Malattie Infettive, Dipartimento Di Medicina Dell'Università Di Udine, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Via Pozzuolo, 330, 33100, Udine, Italy.
  • Gerussi V; U.O. Malattie Infettive, Dipartimento Di Medicina Dell'Università Di Udine, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Via Pozzuolo, 330, 33100, Udine, Italy.
  • Visentini D; Istituto Di Patologia Clinica, Azienda Sanitaria Universitaria Integrata Di Udine (ASUID), Udine, Italy.
  • De Stefanis P; SOC Anestesia E Rianimazione 2, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Udine, Italy.
  • Merelli M; U.O. Malattie Infettive, Dipartimento Di Medicina Dell'Università Di Udine, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Via Pozzuolo, 330, 33100, Udine, Italy.
  • Saeed K; Microbiology Innovation and Research Unit (MIRU), Department of Microbiology, University Hospitals Southampton NHS Foundation Trust, and University of Southampton School of Medicine, Southampton, UK.
  • Curcio F; Istituto Di Patologia Clinica, Azienda Sanitaria Universitaria Integrata Di Udine (ASUID), Udine, Italy.
Sci Rep ; 11(1): 5121, 2021 03 04.
Article in English | MEDLINE | ID: covidwho-1117669
ABSTRACT
Mid Regional pro-ADM (MR-proADM) is a promising novel biomarker in the evaluation of deteriorating patients and an emergent prognosis factor in patients with sepsis, septic shock and organ failure. It can be induced by bacteria, fungi or viruses. We hypothesized that the assessment of MR-proADM, with or without other inflammatory cytokines, as part of a clinical assessment of COVID-19 patients at hospital admission, may assist in identifying those likely to develop severe disease. A pragmatic retrospective analysis was performed on a complete data set from 111 patients admitted to Udine University Hospital, in northern Italy, from 25th March to 15th May 2020, affected by SARS-CoV-2 pneumonia. Clinical scoring systems (SOFA score, WHO disease severity class, SIMEU clinical phenotype), cytokines (IL-6, IL-1b, IL-8, TNF-α), and MR-proADM were measured. Demographic, clinical and outcome data were collected for analysis. At multivariate analysis, high MR-proADM levels were significantly associated with negative outcome (death or orotracheal intubation, IOT), with an odds ratio of 4.284 [1.893-11.413], together with increased neutrophil count (OR = 1.029 [1.011-1.049]) and WHO disease severity class (OR = 7.632 [5.871-19.496]). AUROC analysis showed a good discriminative performance of MR-proADM (AUROC 0.849 [95% Cl 0.771-0.730]; p < 0.0001). The optimal value of MR-proADM to discriminate combined event of death or IOT is 0.895 nmol/l, with a sensitivity of 0.857 [95% Cl 0.728-0.987] and a specificity of 0.687 [95% Cl 0.587-0.787]. This study shows an association between MR-proADM levels and the severity of COVID-19. The assessment of MR-proADM combined with clinical scoring systems could be of great value in triaging, evaluating possible escalation of therapies, and admission avoidance or inclusion into trials. Larger prospective and controlled studies are needed to confirm these findings.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Peptide Fragments / Protein Precursors / Adrenomedullin / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-84478-1

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Peptide Fragments / Protein Precursors / Adrenomedullin / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-84478-1