Rapid COVID-19 Screening Based on Self-Reported Symptoms: Psychometric Assessment and Validation of the EPICOVID19 Short Diagnostic Scale.


Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
06 01 2021
Historique:
received: 27 08 2020
accepted: 29 09 2020
revised: 28 09 2020
pubmed: 16 12 2020
medline: 14 1 2021
entrez: 15 12 2020
Statut: epublish

Résumé

Confirmed COVID-19 cases have been registered in more than 200 countries, and as of July 28, 2020, over 16 million cases have been reported to the World Health Organization. This study was conducted during the epidemic peak of COVID-19 in Italy. The early identification of individuals with suspected COVID-19 is critical in immediately quarantining such individuals. Although surveys are widely used for identifying COVID-19 cases, outcomes, and associated risks, no validated epidemiological tool exists for surveying SARS-CoV-2 infection in the general population. We evaluated the capability of self-reported symptoms in discriminating COVID-19 to identify individuals who need to undergo instrumental measurements. We defined and validated a method for identifying a cutoff score. Our study is phase II of the EPICOVID19 Italian national survey, which launched in April 2020 and included a convenience sample of 201,121 adults who completed the EPICOVID19 questionnaire. The Phase II questionnaire, which focused on the results of nasopharyngeal swab (NPS) and serological tests, was mailed to all subjects who previously underwent NPS tests. Of 2703 subjects who completed the Phase II questionnaire, 694 (25.7%) were NPS positive. Of the 472 subjects who underwent the immunoglobulin G (IgG) test and 421 who underwent the immunoglobulin M test, 22.9% (108/472) and 11.6% (49/421) tested positive, respectively. Compared to NPS-negative subjects, NPS-positive subjects had a higher incidence of fever (421/694, 60.7% vs 391/2009, 19.5%; P<.001), loss of taste and smell (365/694, 52.6% vs 239/2009, 11.9%; P<.001), and cough (352/694, 50.7% vs 580/2009, 28.9%; P<.001). With regard to subjects who underwent serological tests, IgG-positive subjects had a higher incidence of fever (65/108, 60.2% vs 43/364, 11.8%; P<.001) and pain in muscles/bones/joints (73/108, 67.6% vs 71/364, 19.5%; P<.001) than IgG-negative subjects. An analysis of self-reported COVID-19 symptom items revealed a 1-factor solution, the EPICOVID19 diagnostic scale. The following optimal scores were identified: 1.03 for respiratory problems, 1.07 for chest pain, 0.97 for loss of taste and smell 0.97, and 1.05 for tachycardia (ie, heart palpitations). These were the most important symptoms. For adults aged 18-84 years, the cutoff score was 2.56 (sensitivity: 76.56%; specificity: 68.24%) for NPS-positive subjects and 2.59 (sensitivity: 80.37%; specificity: 80.17%) for IgG-positive subjects. For subjects aged ≥60 years, the cutoff score was 1.28, and accuracy based on the presence of IgG antibodies improved (sensitivity: 88.00%; specificity: 89.58%). We developed a short diagnostic scale to detect subjects with symptoms that were potentially associated with COVID-19 from a wide population. Our results support the potential of self-reported symptoms in identifying individuals who require immediate clinical evaluations. Although these results come from the Italian pandemic period, this short diagnostic scale could be optimized and tested as a screening tool for future similar pandemics.

Sections du résumé

BACKGROUND
Confirmed COVID-19 cases have been registered in more than 200 countries, and as of July 28, 2020, over 16 million cases have been reported to the World Health Organization. This study was conducted during the epidemic peak of COVID-19 in Italy. The early identification of individuals with suspected COVID-19 is critical in immediately quarantining such individuals. Although surveys are widely used for identifying COVID-19 cases, outcomes, and associated risks, no validated epidemiological tool exists for surveying SARS-CoV-2 infection in the general population.
OBJECTIVE
We evaluated the capability of self-reported symptoms in discriminating COVID-19 to identify individuals who need to undergo instrumental measurements. We defined and validated a method for identifying a cutoff score.
METHODS
Our study is phase II of the EPICOVID19 Italian national survey, which launched in April 2020 and included a convenience sample of 201,121 adults who completed the EPICOVID19 questionnaire. The Phase II questionnaire, which focused on the results of nasopharyngeal swab (NPS) and serological tests, was mailed to all subjects who previously underwent NPS tests.
RESULTS
Of 2703 subjects who completed the Phase II questionnaire, 694 (25.7%) were NPS positive. Of the 472 subjects who underwent the immunoglobulin G (IgG) test and 421 who underwent the immunoglobulin M test, 22.9% (108/472) and 11.6% (49/421) tested positive, respectively. Compared to NPS-negative subjects, NPS-positive subjects had a higher incidence of fever (421/694, 60.7% vs 391/2009, 19.5%; P<.001), loss of taste and smell (365/694, 52.6% vs 239/2009, 11.9%; P<.001), and cough (352/694, 50.7% vs 580/2009, 28.9%; P<.001). With regard to subjects who underwent serological tests, IgG-positive subjects had a higher incidence of fever (65/108, 60.2% vs 43/364, 11.8%; P<.001) and pain in muscles/bones/joints (73/108, 67.6% vs 71/364, 19.5%; P<.001) than IgG-negative subjects. An analysis of self-reported COVID-19 symptom items revealed a 1-factor solution, the EPICOVID19 diagnostic scale. The following optimal scores were identified: 1.03 for respiratory problems, 1.07 for chest pain, 0.97 for loss of taste and smell 0.97, and 1.05 for tachycardia (ie, heart palpitations). These were the most important symptoms. For adults aged 18-84 years, the cutoff score was 2.56 (sensitivity: 76.56%; specificity: 68.24%) for NPS-positive subjects and 2.59 (sensitivity: 80.37%; specificity: 80.17%) for IgG-positive subjects. For subjects aged ≥60 years, the cutoff score was 1.28, and accuracy based on the presence of IgG antibodies improved (sensitivity: 88.00%; specificity: 89.58%).
CONCLUSIONS
We developed a short diagnostic scale to detect subjects with symptoms that were potentially associated with COVID-19 from a wide population. Our results support the potential of self-reported symptoms in identifying individuals who require immediate clinical evaluations. Although these results come from the Italian pandemic period, this short diagnostic scale could be optimized and tested as a screening tool for future similar pandemics.

Identifiants

pubmed: 33320825
pii: v23i1e23897
doi: 10.2196/23897
pmc: PMC7790735
doi:

Substances chimiques

Immunoglobulin G 0
Immunoglobulin M 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e23897

Informations de copyright

©Luca Bastiani, Loredana Fortunato, Stefania Pieroni, Fabrizio Bianchi, Fulvio Adorni, Federica Prinelli, Andrea Giacomelli, Gabriele Pagani, Stefania Maggi, Caterina Trevisan, Marianna Noale, Nithiya Jesuthasan, Aleksandra Sojic, Carla Pettenati, Massimo Andreoni, Raffaele Antonelli Incalzi, Massimo Galli, Sabrina Molinaro. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 06.01.2021.

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Auteurs

Luca Bastiani (L)

Institute of Clinical Physiology, National Research Council, Pisa, Italy.

Loredana Fortunato (L)

Institute of Clinical Physiology, National Research Council, Pisa, Italy.

Stefania Pieroni (S)

Institute of Clinical Physiology, National Research Council, Pisa, Italy.

Fabrizio Bianchi (F)

Institute of Clinical Physiology, National Research Council, Pisa, Italy.

Fulvio Adorni (F)

Institute of Biomedical Technologies, National Research Council, Milano, Italy.

Federica Prinelli (F)

Institute of Biomedical Technologies, National Research Council, Milano, Italy.

Andrea Giacomelli (A)

Infectious Diseases Unit, Department of Biomedical and Clinical Sciences Luigi Sacco, Università di Milano, Milano, Italy.

Gabriele Pagani (G)

Infectious Diseases Unit, Department of Biomedical and Clinical Sciences Luigi Sacco, Università di Milano, Milano, Italy.

Stefania Maggi (S)

Institute of Neuroscience, Aging Branch, National Research Council, Padova, Italy.

Caterina Trevisan (C)

Geriatric Unit, Department of Medicine, University of Padova, Padova, Italy.

Marianna Noale (M)

Institute of Biomedical Technologies, National Research Council, Milano, Italy.

Nithiya Jesuthasan (N)

Institute of Biomedical Technologies, National Research Council, Milano, Italy.

Aleksandra Sojic (A)

Institute of Biomedical Technologies, National Research Council, Milano, Italy.

Carla Pettenati (C)

Institute of Biomedical Technologies, National Research Council, Milano, Italy.

Massimo Andreoni (M)

Infectious Diseases Clinic, Department of System Medicine, Tor Vergata University of Rome, Rome, Italy.

Raffaele Antonelli Incalzi (R)

Unit of Geriatrics, Department of Medicine, Biomedical Campus of Rome, Rome, Italy.

Massimo Galli (M)

Infectious Diseases Unit, Department of Biomedical and Clinical Sciences Luigi Sacco, Università di Milano, Milano, Italy.

Sabrina Molinaro (S)

Institute of Clinical Physiology, National Research Council, Pisa, Italy.

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