The Model for Early COvid-19 Recognition (MECOR) Score: A Proof-of-Concept for a Simple and Low-Cost Tool to Recognize a Possible Viral Etiology in Community-Acquired Pneumonia Patients during COVID-19 Outbreak.
COVID-19
SARS-CoV-2
blood cell count
coronavirus
diagnosis
interstitial lung disease
neutrophils
platelets
pneumonia
triage
Journal
Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402
Informations de publication
Date de publication:
21 Aug 2020
21 Aug 2020
Historique:
received:
29
06
2020
revised:
16
08
2020
accepted:
20
08
2020
entrez:
23
8
2020
pubmed:
23
8
2020
medline:
23
8
2020
Statut:
epublish
Résumé
This study aims to assess the peripheral blood cell count "signature" of Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2) to discriminate promptly between COronaVIrus Disease 19 (COVID-19) and community-acquired pneumonia (CAP). We designed a retrospective case-control study, enrolling 525 patients (283 COVID-19 and 242 with CAP). All patients had a fever and at least one of the following signs: cough, chest pain, or dyspnea. We excluded patients treated with immunosuppressants, steroids, or affected by diseases known to modify blood cell count. COVID-19 patients showed a significant reduction in white blood cells (neutrophils, lymphocytes, monocytes, eosinophils) and platelets. We studied these parameters univariately, combined the significant ones in a multivariate model (AUROC 0.86, Nagelkerke PSEUDO-R2 0.5, Hosmer-Lemeshow
Identifiants
pubmed: 32825763
pii: diagnostics10090619
doi: 10.3390/diagnostics10090619
pmc: PMC7555441
pii:
doi:
Types de publication
Journal Article
Langues
eng
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