PLoS ONE (Jan 2021)

Baseline clinical characteristics and prognostic factors in hospitalized COVID-19 patients aged ≤ 65 years: A retrospective observational study.

  • Marta Betti,
  • Marinella Bertolotti,
  • Daniela Ferrante,
  • Annalisa Roveta,
  • Carolina Pelazza,
  • Fabio Giacchero,
  • Serena Penpa,
  • Costanza Massarino,
  • Tatiana Bolgeo,
  • Antonella Cassinari,
  • Marco Mussa,
  • Guido Chichino,
  • Antonio Maconi

DOI
https://doi.org/10.1371/journal.pone.0248829
Journal volume & issue
Vol. 16, no. 3
p. e0248829

Abstract

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BackgroundIndividual differences in susceptibility to SARS-CoV-2 infection, symptomatology and clinical manifestation of COVID-19 have thus far been observed but little is known about the prognostic factors of young patients.MethodsA retrospective observational study was conducted on 171 patients aged ≤ 65 years hospitalized in Alessandria's Hospital from 1st March to 30th April 2020 with laboratory confirmed COVID-19. Epidemiological data, symptoms at onset, clinical manifestations, Charlson Comorbidity Index, laboratory parameters, radiological findings and complications were considered. Patients were divided into two groups on the basis of COVID-19 severity. Multivariable logistic regression analysis was used to establish factors associated with the development of a moderate or severe disease.FindingsA total of 171 patients (89 with mild/moderate disease, 82 with severe/critical disease), of which 61% males and a mean age (± SD) of 53.6 (± 9.7) were included. The multivariable logistic model identified age (50-65 vs 18-49; OR = 3.23 CI95% 1.42-7.37), platelet count (per 100 units of increase OR = 0.61 CI95% 0.42-0.89), c-reactive protein (CPR) (per unit of increase OR = 1.12 CI95% 1.06-1.20) as risk factors for severe or critical disease. The multivariable logistic model showed a good discriminating capacity with a C-index value of 0.76.InterpretationPatients aged ≥ 50 years with low platelet count and high CRP are more likely to develop severe or critical illness. These findings might contribute to improved clinical management.