Complete blood count might help to identify subjects with high probability of testing positive to SARS-CoV-2
Vincenzo Formica, Marilena Minieri, Sergio Bernardini, Marco Ciotti, Cartesio D'Agostini, Mario Roselli, Massimo Andreoni, Cristina Morelli, Giusy Parisi, Massimo Federici, Carla Paganelli and Jacopo M Legramante
DOI: https://doi.org/10.7861/clinmed.2020-0373
Clin Med July 2020 Vincenzo Formica
AMedical Oncology Unit, Tor Vergata University Hospital, Rome, Italy
Roles: SAS doctor
Marilena Minieri
BDepartment of Experimental Medicine, Tor Vergata University Hospital, Rome, Italy
Roles: SAS doctor
Sergio Bernardini
CDepartment of Experimental Medicine, Tor Vergata University Hospital, Rome, Italy
Roles: director
Marco Ciotti
DVirology Unit, Tor Vergata University Hospital, Rome, Italy
Roles: SAS doctor
Cartesio D'Agostini
EVirology Unit, Tor Vergata University Hospital, Rome, Italy
Roles: consultant
Mario Roselli
FMedical Oncology Unit, Tor Vergata University Hospital, Rome, Italy
Roles: director
Massimo Andreoni
GInfectious Disease Unit, Tor Vergata University Hospital, Rome, Italy
Roles: director
Cristina Morelli
HMedical Oncology Unit, Tor Vergata University Hospital, Rome, Italy
Roles: research fellow
Giusy Parisi
HMedical Oncology Unit, Tor Vergata University Hospital, Rome, Italy
Roles: research fellow
Massimo Federici
IDepartment of Systems medicine, Tor Vergata University Hospital, Rome, Italy
Roles: director
Carla Paganelli
JEmergency Department, Tor Vergata University Hospital, Rome, Italy
Roles: director
Jacopo M Legramante
JEmergency Department, Tor Vergata University Hospital, Rome, Italy
Roles: director
Article Figures & Data
Figures
Tables
Supplementary material
Files in this Data Supplement:
- Supplementary material S1 Patient characteristics
- Supplementary material S2 Univariate logistic regression analysis - dichotomised variables
- Supplementary material S3 Univariate logistic regression analysis - continuous variables
- Supplementary material S4 Coefficient path of LASSO analysis
- Supplementary material S5 AIC path of LASSO analysis
- Supplementary material S6 Full multivariate logistic regression analysis - complete CBC score
- Supplementary material S7 MAPE simplified multivariate logistic regression
- Supplementary material S8 Bootstrap resampling for optimism correction of simplified MAPE score
Article Tools
Complete blood count might help to identify subjects with high probability of testing positive to SARS-CoV-2
Vincenzo Formica, Marilena Minieri, Sergio Bernardini, Marco Ciotti, Cartesio D'Agostini, Mario Roselli, Massimo Andreoni, Cristina Morelli, Giusy Parisi, Massimo Federici, Carla Paganelli, Jacopo M Legramante
Clinical Medicine Jul 2020, 20 (4) e114-e119; DOI: 10.7861/clinmed.2020-0373
Citation Manager Formats
Complete blood count might help to identify subjects with high probability of testing positive to SARS-CoV-2
Vincenzo Formica, Marilena Minieri, Sergio Bernardini, Marco Ciotti, Cartesio D'Agostini, Mario Roselli, Massimo Andreoni, Cristina Morelli, Giusy Parisi, Massimo Federici, Carla Paganelli, Jacopo M Legramante
Clinical Medicine Jul 2020, 20 (4) e114-e119; DOI: 10.7861/clinmed.2020-0373
Jump to section
Related Articles
Cited By...
- Asthma and COVID-19: an update
- CCEDRRN COVID-19 Infection Score (CCIS): development and validation in a Canadian cohort of a clinical risk score to predict SARS-CoV-2 infection in patients presenting to the emergency department with suspected COVID-19
- Machine Learning based COVID-19 Diagnosis from Blood Tests with Robustness to Domain Shifts
- A Bayesian strategy for the asymptomatic healthcare worker