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


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 31 12 2020
accepted: 07 03 2021
entrez: 24 3 2021
pubmed: 25 3 2021
medline: 22 4 2021
Statut: epublish

Résumé

Individual 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. A 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. A 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. Patients 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.

Sections du résumé

BACKGROUND
Individual 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.
METHODS
A 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.
FINDINGS
A 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.
INTERPRETATION
Patients 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.

Identifiants

pubmed: 33760885
doi: 10.1371/journal.pone.0248829
pii: PONE-D-20-41084
pmc: PMC7990225
doi:

Substances chimiques

C-Reactive Protein 9007-41-4

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0248829

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Marta Betti (M)

Infrastruttura Ricerca Formazione Innovazione, Dipartimento Attività Integrate Ricerca Innovazione, Azienda Ospedaliera "SS Antonio e Biagio e Cesare Arrigo", Alessandria, Italy.

Marinella Bertolotti (M)

Infrastruttura Ricerca Formazione Innovazione, Dipartimento Attività Integrate Ricerca Innovazione, Azienda Ospedaliera "SS Antonio e Biagio e Cesare Arrigo", Alessandria, Italy.

Daniela Ferrante (D)

Unit of Medical Statistics, Department of Translational Medicine, University of "Piemonte Orientale" and Cancer Epidemiology, CPO Piemonte, Novara, Italy.

Annalisa Roveta (A)

Infrastruttura Ricerca Formazione Innovazione, Dipartimento Attività Integrate Ricerca Innovazione, Azienda Ospedaliera "SS Antonio e Biagio e Cesare Arrigo", Alessandria, Italy.

Carolina Pelazza (C)

Infrastruttura Ricerca Formazione Innovazione, Dipartimento Attività Integrate Ricerca Innovazione, Azienda Ospedaliera "SS Antonio e Biagio e Cesare Arrigo", Alessandria, Italy.

Fabio Giacchero (F)

Infrastruttura Ricerca Formazione Innovazione, Dipartimento Attività Integrate Ricerca Innovazione, Azienda Ospedaliera "SS Antonio e Biagio e Cesare Arrigo", Alessandria, Italy.

Serena Penpa (S)

Infrastruttura Ricerca Formazione Innovazione, Dipartimento Attività Integrate Ricerca Innovazione, Azienda Ospedaliera "SS Antonio e Biagio e Cesare Arrigo", Alessandria, Italy.

Costanza Massarino (C)

Infrastruttura Ricerca Formazione Innovazione, Dipartimento Attività Integrate Ricerca Innovazione, Azienda Ospedaliera "SS Antonio e Biagio e Cesare Arrigo", Alessandria, Italy.

Tatiana Bolgeo (T)

Infrastruttura Ricerca Formazione Innovazione, Dipartimento Attività Integrate Ricerca Innovazione, Azienda Ospedaliera "SS Antonio e Biagio e Cesare Arrigo", Alessandria, Italy.

Antonella Cassinari (A)

Infrastruttura Ricerca Formazione Innovazione, Dipartimento Attività Integrate Ricerca Innovazione, Azienda Ospedaliera "SS Antonio e Biagio e Cesare Arrigo", Alessandria, Italy.

Marco Mussa (M)

Infectious Diseases Unit, Azienda Ospedaliera "SS Antonio e Biagio e Cesare Arrigo", Alessandria, Italy.

Guido Chichino (G)

Infectious Diseases Unit, Azienda Ospedaliera "SS Antonio e Biagio e Cesare Arrigo", Alessandria, Italy.

Antonio Maconi (A)

Infrastruttura Ricerca Formazione Innovazione, Dipartimento Attività Integrate Ricerca Innovazione, Azienda Ospedaliera "SS Antonio e Biagio e Cesare Arrigo", Alessandria, Italy.

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Classifications MeSH