Cargando…

Clinical scoring system to predict viable viral shedding in patients with COVID-19

BACKGROUND: : The Centers for Disease Control and Prevention (CDC) recommends 5–10 days of isolation for patients with COVID-19, depending on symptom duration and severity. However, in clinical practice, an individualized approach is required. We thus developed a clinical scoring system to predict v...

Descripción completa

Detalles Bibliográficos
Autores principales: Kang, Sung Woon, Park, Heedo, Kim, Ji Yeun, Park, Sunghee, Lim, So Yun, Lee, Sohyun, Bae, Joon-Yong, Kim, Jeonghun, Bae, Seongman, Jung, Jiwon, Kim, Min Jae, Chong, Yong Pil, Lee, Sang-Oh, Choi, Sang-Ho, Kim, Yang Soo, Yun, Sung-Cheol, Park, Man-Seong, Kim, Sung-Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529675/
https://www.ncbi.nlm.nih.gov/pubmed/36223658
http://dx.doi.org/10.1016/j.jcv.2022.105319
_version_ 1784801551061090304
author Kang, Sung Woon
Park, Heedo
Kim, Ji Yeun
Park, Sunghee
Lim, So Yun
Lee, Sohyun
Bae, Joon-Yong
Kim, Jeonghun
Bae, Seongman
Jung, Jiwon
Kim, Min Jae
Chong, Yong Pil
Lee, Sang-Oh
Choi, Sang-Ho
Kim, Yang Soo
Yun, Sung-Cheol
Park, Man-Seong
Kim, Sung-Han
author_facet Kang, Sung Woon
Park, Heedo
Kim, Ji Yeun
Park, Sunghee
Lim, So Yun
Lee, Sohyun
Bae, Joon-Yong
Kim, Jeonghun
Bae, Seongman
Jung, Jiwon
Kim, Min Jae
Chong, Yong Pil
Lee, Sang-Oh
Choi, Sang-Ho
Kim, Yang Soo
Yun, Sung-Cheol
Park, Man-Seong
Kim, Sung-Han
author_sort Kang, Sung Woon
collection PubMed
description BACKGROUND: : The Centers for Disease Control and Prevention (CDC) recommends 5–10 days of isolation for patients with COVID-19, depending on symptom duration and severity. However, in clinical practice, an individualized approach is required. We thus developed a clinical scoring system to predict viable viral shedding. METHODS: : We prospectively enrolled adult patients with SARS-CoV-2 infection admitted to a hospital or community isolation facility between February 2020 and January 2022. Daily dense respiratory samples were obtained, and genomic RNA viral load assessment and viral culture were performed. Clinical predictors of negative viral culture results were identified using survival analysis and multivariable analysis. RESULTS: : Among 612 samples from 121 patients including 11 immunocompromised patients (5 organ transplant recipients, 5 with hematologic malignancy, and 1 receiving immunosuppressive agents) with varying severity, 154 (25%) revealed positive viral culture results. Multivariable analysis identified symptom onset day, viral copy number, disease severity, organ transplant recipient, and vaccination status as independent predictors of culture-negative rate. We developed a 4-factor predictive model based on viral copy number (-3 to 3 points), disease severity (1 point for moderate to critical disease), organ transplant recipient (2 points), and vaccination status (-2 points for fully vaccinated). Predicted culture-negative rates were calculated through the symptom onset day and the score of the day the sample was collected. CONCLUSIONS: : Our clinical scoring system can provide the objective probability of a culture-negative state in a patient with COVID-19 and is potentially useful for implementing personalized de-isolation policies beyond the simple symptom-based isolation strategy.
format Online
Article
Text
id pubmed-9529675
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-95296752022-10-04 Clinical scoring system to predict viable viral shedding in patients with COVID-19 Kang, Sung Woon Park, Heedo Kim, Ji Yeun Park, Sunghee Lim, So Yun Lee, Sohyun Bae, Joon-Yong Kim, Jeonghun Bae, Seongman Jung, Jiwon Kim, Min Jae Chong, Yong Pil Lee, Sang-Oh Choi, Sang-Ho Kim, Yang Soo Yun, Sung-Cheol Park, Man-Seong Kim, Sung-Han J Clin Virol Article BACKGROUND: : The Centers for Disease Control and Prevention (CDC) recommends 5–10 days of isolation for patients with COVID-19, depending on symptom duration and severity. However, in clinical practice, an individualized approach is required. We thus developed a clinical scoring system to predict viable viral shedding. METHODS: : We prospectively enrolled adult patients with SARS-CoV-2 infection admitted to a hospital or community isolation facility between February 2020 and January 2022. Daily dense respiratory samples were obtained, and genomic RNA viral load assessment and viral culture were performed. Clinical predictors of negative viral culture results were identified using survival analysis and multivariable analysis. RESULTS: : Among 612 samples from 121 patients including 11 immunocompromised patients (5 organ transplant recipients, 5 with hematologic malignancy, and 1 receiving immunosuppressive agents) with varying severity, 154 (25%) revealed positive viral culture results. Multivariable analysis identified symptom onset day, viral copy number, disease severity, organ transplant recipient, and vaccination status as independent predictors of culture-negative rate. We developed a 4-factor predictive model based on viral copy number (-3 to 3 points), disease severity (1 point for moderate to critical disease), organ transplant recipient (2 points), and vaccination status (-2 points for fully vaccinated). Predicted culture-negative rates were calculated through the symptom onset day and the score of the day the sample was collected. CONCLUSIONS: : Our clinical scoring system can provide the objective probability of a culture-negative state in a patient with COVID-19 and is potentially useful for implementing personalized de-isolation policies beyond the simple symptom-based isolation strategy. Elsevier B.V. 2022-12 2022-10-04 /pmc/articles/PMC9529675/ /pubmed/36223658 http://dx.doi.org/10.1016/j.jcv.2022.105319 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Kang, Sung Woon
Park, Heedo
Kim, Ji Yeun
Park, Sunghee
Lim, So Yun
Lee, Sohyun
Bae, Joon-Yong
Kim, Jeonghun
Bae, Seongman
Jung, Jiwon
Kim, Min Jae
Chong, Yong Pil
Lee, Sang-Oh
Choi, Sang-Ho
Kim, Yang Soo
Yun, Sung-Cheol
Park, Man-Seong
Kim, Sung-Han
Clinical scoring system to predict viable viral shedding in patients with COVID-19
title Clinical scoring system to predict viable viral shedding in patients with COVID-19
title_full Clinical scoring system to predict viable viral shedding in patients with COVID-19
title_fullStr Clinical scoring system to predict viable viral shedding in patients with COVID-19
title_full_unstemmed Clinical scoring system to predict viable viral shedding in patients with COVID-19
title_short Clinical scoring system to predict viable viral shedding in patients with COVID-19
title_sort clinical scoring system to predict viable viral shedding in patients with covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529675/
https://www.ncbi.nlm.nih.gov/pubmed/36223658
http://dx.doi.org/10.1016/j.jcv.2022.105319
work_keys_str_mv AT kangsungwoon clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT parkheedo clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT kimjiyeun clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT parksunghee clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT limsoyun clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT leesohyun clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT baejoonyong clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT kimjeonghun clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT baeseongman clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT jungjiwon clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT kimminjae clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT chongyongpil clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT leesangoh clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT choisangho clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT kimyangsoo clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT yunsungcheol clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT parkmanseong clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19
AT kimsunghan clinicalscoringsystemtopredictviableviralsheddinginpatientswithcovid19