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MR-proADM as Prognostic Factor of Outcome in COVID-19 Patients.
Cameli, Paolo; Pordon, Elena; d'Alessandro, Miriana; Marzi, Maria Laura; Galasso, Lucrezia; Biuzzi, Cesare; Bergantini, Laura; Bargagli, Elena; Scolletta, Sabino; Franchi, Federico.
Afiliación
  • Cameli P; Respiratory Diseases Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
  • Pordon E; Respiratory Diseases Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
  • d'Alessandro M; Respiratory Diseases Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
  • Marzi ML; Anesthesia and Intensive Care Unit, Department of Medicine, Surgery and Neurosciences, University Hospital of Siena, 53100 Siena, Italy.
  • Galasso L; Clinical Pathology Unit, Innovation, Experimentation and Clinical and Translational Research Department, University Hospital of Siena, 53100 Siena, Italy.
  • Biuzzi C; Anesthesia and Intensive Care Unit, Department of Medicine, Surgery and Neurosciences, University Hospital of Siena, 53100 Siena, Italy.
  • Bergantini L; Respiratory Diseases Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
  • Bargagli E; Respiratory Diseases Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
  • Scolletta S; Anesthesia and Intensive Care Unit, Department of Medicine, Surgery and Neurosciences, University Hospital of Siena, 53100 Siena, Italy.
  • Franchi F; Cardiothoracic and Vascular Anesthesia and Intensive Care Unit, Department of Medical Science, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
Biomedicines ; 11(6)2023 Jun 09.
Article en En | MEDLINE | ID: mdl-37371775
ABSTRACT

BACKGROUND:

Serum mid-regional proadrenomedullin (MR-proADM) has emerged as a marker of organ failure (mainly lungs and kidneys) and poor prognosis in patients admitted to intensive care (IC); some reports also suggest it and other markers, such as Krebs von den Lungen-6 (KL-6) and interleukin-6 (IL-6), as a prognostic biomarker of COVID-19. The aim of the study was to evaluate the performance MR-proADM in hospitalized COVID-19 patients for predicting in-hospital mortality and need for non-invasive or invasive respiratory support.

METHODS:

We enrolled 74 patients hospitalized in the COVID Unit of Siena Hospital from March to May 2020, for whom serum samples were available on admission for assay of MR-proADM, KL-6 and IL-6. Demographic data, comorbidities, medical history and clinical laboratory data on days 1-3 of admission and Simplified Acute Physiology Score and Simplified Organ Failure Assessment scores calculated at day 1 were collected retrospectively, as well as mortality and IC admission data.

RESULTS:

12 patients died in hospital (16%) and 14 patients were admitted to IC (19%). Serum concentrations of MR-proADM on admission and on day 1 were higher among non-survivors than among survivors (p = 0.015 and p = 0.045, respectively), while those on day 3 were not significantly different. Patients needing respiratory support had higher MR-proADM concentrations on admission than the others (p = 0.046), and those requiring invasive mechanical ventilation had higher MR-proADM on day 1 (p = 0.017). Serum concentrations of KL-6 and IL-6 were significantly higher in non-survivors (p = 0.03 and p = 0.004, respectively). ROC curve analysis showed that serum MR-proADM on day 1 had the best accuracy in predicting death and/or IC admission (AUC = 0.9583, p = 0.0006); the combination of all three biomarkers further improved the accuracy of prediction of death or IC admission (AUC = 0.9793; p = 0.00004).

CONCLUSIONS:

Our data sustain the potential of serum MR-proADM as a reliable prognostic biomarker of hospitalized COVID-19 patients and confirms the utility of the three markers in the management and risk stratification of hospitalized patients. The markers are collected mini-invasively and are quick to analyze and cost-effective.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Biomedicines Año: 2023 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Biomedicines Año: 2023 Tipo del documento: Article País de afiliación: Italia