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Viral shedding dynamics reveals sputum as a reliable and cost-saving specimen for SARS-CoV-2 diagnosis within the first 10 days since symptom onset: A prospective cohort study
Preprint
en En
| PREPRINT-MEDRXIV
| ID: ppmedrxiv-20183889
ABSTRACT
BackgroundCoronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome virus (SARS-CoV-2) is challenging global public health, due to an increasing demand for testing and the shortage of diagnostic supplies. Nasopharyngeal swab (NPS) is considered the optimal sample for SARS-CoV2 diagnosis and sputum (SPT) has been proposed as an economic alternative. However, the temporal concordance of diagnosis in NPS and SPT has not been addressed. MethodsThrough a longitudinal study we compared the shedding dynamics of SARS-CoV-2 RNA evaluated by RT-qPCR in serially collected SPT and NPS obtained from 82 ambulatory and hospitalized patients during acute infection and convalescence. The concordance during the follow-up and cost analysis between both collected specimens was evaluated. FindingsWe analyzed 379 samples, 177 NPS and 202 SPT. The highest proportion of positive samples was detected within the first 15 days after the symptoms onset. The median time of positivity was higher for NPS (median= 25 days) than SPT (median= 21 days). There was no significant difference in the median RT-qPCR CT values between both sample types. The temporal categorization of matched-paired samples indicated substantial correlation (r=0{middle dot}6023) and substantial agreement (87{middle dot}23%) during the first ten days since symptoms onset (kappa = 0{middle dot}697). A cost analysis demonstrated a significant saving when the SPT specimen was used. InterpretationSputum is a feasible and cost-saving alternative to NPS, providing an equivalent value for the detection and follow-up of SARS-CoV-2 RNA. FundingAgencia Nacional de Investigacion y Desarrollo (ANID) of Chile, NIH-NIAID USA.
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Texto completo:
1
Colección:
09-preprints
Base de datos:
PREPRINT-MEDRXIV
Tipo de estudio:
Cohort_studies
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Diagnostic_studies
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Experimental_studies
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Observational_studies
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Prognostic_studies
Idioma:
En
Año:
2020
Tipo del documento:
Preprint