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

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 5...

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Main Authors: Gianluca Sambataro, Mauro Giuffrè, Domenico Sambataro, Andrea Palermo, Giovanna Vignigni, Roberto Cesareo, Nunzio Crimi, Sebastiano Emanuele Torrisi, Carlo Vancheri, Lorenzo Malatino, Michele Colaci, Nicoletta Del Papa, Francesca Pignataro, Erik Roman-Pognuz, Massimiliano Fabbiani, Francesca Montagnani, Chiara Cassol, Lorenzo Cavagna, Valentina Zuccaro, Verena Zerbato, Cristina Maurel, Roberto Luzzati, Stefano Di Bella
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Diagnostics
Subjects:
Online Access:https://www.mdpi.com/2075-4418/10/9/619
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language English
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author Gianluca Sambataro
Mauro Giuffrè
Domenico Sambataro
Andrea Palermo
Giovanna Vignigni
Roberto Cesareo
Nunzio Crimi
Sebastiano Emanuele Torrisi
Carlo Vancheri
Lorenzo Malatino
Michele Colaci
Nicoletta Del Papa
Francesca Pignataro
Erik Roman-Pognuz
Massimiliano Fabbiani
Francesca Montagnani
Chiara Cassol
Lorenzo Cavagna
Valentina Zuccaro
Verena Zerbato
Cristina Maurel
Roberto Luzzati
Stefano Di Bella
spellingShingle Gianluca Sambataro
Mauro Giuffrè
Domenico Sambataro
Andrea Palermo
Giovanna Vignigni
Roberto Cesareo
Nunzio Crimi
Sebastiano Emanuele Torrisi
Carlo Vancheri
Lorenzo Malatino
Michele Colaci
Nicoletta Del Papa
Francesca Pignataro
Erik Roman-Pognuz
Massimiliano Fabbiani
Francesca Montagnani
Chiara Cassol
Lorenzo Cavagna
Valentina Zuccaro
Verena Zerbato
Cristina Maurel
Roberto Luzzati
Stefano Di Bella
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
Diagnostics
COVID-19
SARS-CoV-2
coronavirus
interstitial lung disease
diagnosis
triage
author_facet Gianluca Sambataro
Mauro Giuffrè
Domenico Sambataro
Andrea Palermo
Giovanna Vignigni
Roberto Cesareo
Nunzio Crimi
Sebastiano Emanuele Torrisi
Carlo Vancheri
Lorenzo Malatino
Michele Colaci
Nicoletta Del Papa
Francesca Pignataro
Erik Roman-Pognuz
Massimiliano Fabbiani
Francesca Montagnani
Chiara Cassol
Lorenzo Cavagna
Valentina Zuccaro
Verena Zerbato
Cristina Maurel
Roberto Luzzati
Stefano Di Bella
author_sort Gianluca Sambataro
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher MDPI AG
series Diagnostics
issn 2075-4418
publishDate 2020-08-01
description 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 <i>p</i>-value 0.9) and examined its discriminative performance in an internally-randomized validation cohort (AUROC 0.84). The cut-off selected according to Youden’s Index (−0.13) showed a sensitivity of 84% and a specificity of 72% in the training cohort, and a sensitivity of 88% and a specificity of 73% in the validation cohort. In addition, we determined the probability of having COVID-19 pneumonia for each Model for possible Early COvid-19 Recognition (MECOR) Score value. In conclusion, our model could provide a simple, rapid, and cheap tool for prompt COVID-19 diagnostic triage in patients with CAP. The actual effectiveness should be evaluated in further, prospective studies also involving COVID-19 patients with negative nasopharyngeal swabs.
topic COVID-19
SARS-CoV-2
coronavirus
interstitial lung disease
diagnosis
triage
url https://www.mdpi.com/2075-4418/10/9/619
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spelling doaj-9608f10316e0478fbeb82aa065e9a2dc2020-11-25T03:40:37ZengMDPI AGDiagnostics2075-44182020-08-011061961910.3390/diagnostics10090619The 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 OutbreakGianluca Sambataro0Mauro Giuffrè1Domenico Sambataro2Andrea Palermo3Giovanna Vignigni4Roberto Cesareo5Nunzio Crimi6Sebastiano Emanuele Torrisi7Carlo Vancheri8Lorenzo Malatino9Michele Colaci10Nicoletta Del Papa11Francesca Pignataro12Erik Roman-Pognuz13Massimiliano Fabbiani14Francesca Montagnani15Chiara Cassol16Lorenzo Cavagna17Valentina Zuccaro18Verena Zerbato19Cristina Maurel20Roberto Luzzati21Stefano Di Bella22Department of Clinical and Experimental Medicine, Respiratory Medicine Unit, University Hospital “Policlinico-Vittorio Emanuele”, University of Catania, 95123 Catania, ItalyDepartment of Medical, Surgical and Health Sciences, University of Trieste, 34151 Trieste, ItalyArtroreuma S.R.L., Outpatient of Rheumatology Associated with the National Health System corso S. Vito 53, Mascalucia, 95030 Catania, ItalyUnit of Endocrinology and Diabetes, Campus Bio-Medico University, 00128 Rome, ItalyDepartment of Clinical and Experimental Medicine, Respiratory Medicine Unit, University Hospital “Policlinico-Vittorio Emanuele”, University of Catania, 95123 Catania, ItalyUnit of Metabolic Diseases, “S.M. Goretti” Hospital, 04100 Latina, ItalyDepartment of Clinical and Experimental Medicine, Respiratory Medicine Unit, University Hospital “Policlinico-Vittorio Emanuele”, University of Catania, 95123 Catania, ItalyDepartment of Clinical and Experimental Medicine, Respiratory Medicine Unit, University Hospital “Policlinico-Vittorio Emanuele”, University of Catania, 95123 Catania, ItalyDepartment of Clinical and Experimental Medicine, Respiratory Medicine Unit, University Hospital “Policlinico-Vittorio Emanuele”, University of Catania, 95123 Catania, ItalyDepartment of Clinical and Experimental Medicine, Internal Medicine Unit, Cannizzaro Hospital, University of Catania, via Messina 829, 95100 Catania, ItalyDepartment of Clinical and Experimental Medicine, Internal Medicine Unit, Cannizzaro Hospital, University of Catania, via Messina 829, 95100 Catania, ItalyDept Rheumatology, ASST Pini-CTO, Piazza Cardinal Ferrari 1, 20122 Milan, ItalyDept Rheumatology, ASST Pini-CTO, Piazza Cardinal Ferrari 1, 20122 Milan, ItalyDepartment of Perioperative Medicine, Intensive Care and Emergency, University Hospital, 34151 Trieste, ItalyInfectious and Tropical Disease Unit, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, ItalyInfectious and Tropical Disease Unit, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, ItalyInfectious and Tropical Disease Unit, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, ItalyRheumatology Division, University and IRCCS Policlinico San Matteo Foundation, Lombardia, 27100 Pavia, ItalyInfectious Diseases Clinic, University and IRCCS Policlinico S. Matteo Foundation, 27100 Pavia, ItalyDepartment of Medical, Surgical and Health Sciences, University of Trieste, 34151 Trieste, ItalyDepartment of Medical, Surgical and Health Sciences, University of Trieste, 34151 Trieste, ItalyDepartment of Medical, Surgical and Health Sciences, University of Trieste, 34151 Trieste, ItalyDepartment of Medical, Surgical and Health Sciences, University of Trieste, 34151 Trieste, ItalyThis 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 <i>p</i>-value 0.9) and examined its discriminative performance in an internally-randomized validation cohort (AUROC 0.84). The cut-off selected according to Youden’s Index (−0.13) showed a sensitivity of 84% and a specificity of 72% in the training cohort, and a sensitivity of 88% and a specificity of 73% in the validation cohort. In addition, we determined the probability of having COVID-19 pneumonia for each Model for possible Early COvid-19 Recognition (MECOR) Score value. In conclusion, our model could provide a simple, rapid, and cheap tool for prompt COVID-19 diagnostic triage in patients with CAP. The actual effectiveness should be evaluated in further, prospective studies also involving COVID-19 patients with negative nasopharyngeal swabs.https://www.mdpi.com/2075-4418/10/9/619COVID-19SARS-CoV-2coronavirusinterstitial lung diseasediagnosistriage