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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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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 |
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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 |
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