Clinical profiles at the time of diagnosis of COVID-19 in Costa Rica during the pre-vaccination period using a machine learning approach
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Fecha
2021
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artículo original
Autores
Molina Mora, José Arturo
González Gómez, Alejandra
Jiménez Morgan, Sergio
Cordero Laurent, Estela
Brenes Porras, Hebleen
Soto Garita, Claudio
Sequeira Soto, Jorge
Duarte Martínez, Francisco
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Resumen
Background: The clinical manifestations of COVID-19 disease, caused by the SARS-CoV-2
virus, define a large spectrum of symptoms that are mainly dependent on the human host
conditions. In Costa Rica, almost 319 000 cases have been reported during the first third of
2021, contrasting to the 590 000 fully vaccinated people. In the pre-vaccination period (the
year 2020), this country accumulated 169 321 cases and 2185 deaths.
Methods: To describe the clinical presentations at the time of diagnosis of COVID-19 in
Costa Rica during the pre-vaccination period, we implemented a symptom-based clustering
using machine learning to identify clusters or clinical profiles among 18 974 records of
positive cases. Profiles were compared based on symptoms, risk factors, viral load, and
genomic features of the SARS-CoV-2 sequence.
Results: A total of seven COVID-19 clinical profiles were identified, which were characterized
by a specific composition of symptoms. In the comparison between clusters, a lower viral
load was found for the asymptomatic group, while the risk factors and the SARS-CoV-2
genomic features were distributed among all the clusters. No other distribution patterns
were found for age, sex, vital status, and hospitalization.
Conclusion: During the pre-vaccination time in Costa Rica, the clinical manifestations at the
time of diagnosis of COVID-19 were described in seven profiles. The host co-morbidities and
the SARS-CoV-2 genotypes are not specific of a particular profile, rather they are present in
all the groups, including asymptomatic cases. In further analyses, these results will be
compared against the profiles of cases during the vaccination period.
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COVID-19, SARS-CoV-2, INTELIGENCIA ARTIFICIAL