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Kang SW, Kim JW, Kim JY, Lim SY, Jang CY, Chang E, Yang JS, Kim KC, Jang HC, Kim D, Shin Y, Lee JY, Kim SH. Characteristics and risk factors of prolonged viable virus shedding in immunocompromised patients with COVID-19: a prospective cohort study. J Infect 2023; 86:412-414. [PMID: 36682630 PMCID: PMC9852259 DOI: 10.1016/j.jinf.2023.01.024] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 01/17/2023] [Indexed: 01/22/2023]
Affiliation(s)
- Sung-Woon Kang
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jun-Won Kim
- National Institute of Infectious Diseases, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Ji Yeun Kim
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - So Yun Lim
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Choi-Young Jang
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Euijin Chang
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jeong-Sun Yang
- National Institute of Infectious Diseases, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Kyung-Chang Kim
- National Institute of Infectious Diseases, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Hee-Chang Jang
- National Institute of Infectious Diseases, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Dasol Kim
- National Institute of Infectious Diseases, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Younmin Shin
- National Institute of Infectious Diseases, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Joo-Yeon Lee
- National Institute of Infectious Diseases, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea,Corresponding authors at: Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro-43-gil, Songpa-gu, Seoul, 05505, South Korea
| | - Sung-Han Kim
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea,Corresponding authors at: Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro-43-gil, Songpa-gu, Seoul, 05505, South Korea
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Kang S, Kim JY, Park H, Lim SY, Kim J, Chang E, Bae S, Jung J, Kim MJ, Chong YP, Lee S, Choi S, Kim YS, Park M, Kim S. Comparison of secondary attack rate and viable virus shedding between patients with SARS-CoV-2 Delta and Omicron variants: A prospective cohort study. J Med Virol 2023; 95:e28369. [PMID: 36458559 PMCID: PMC9877691 DOI: 10.1002/jmv.28369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 11/12/2022] [Accepted: 11/28/2022] [Indexed: 12/04/2022]
Abstract
There are limited data comparing the transmission rates and kinetics of viable virus shedding of the Omicron variant to those of the Delta variant. We compared these rates in hospitalized patients infected with Delta and Omicron variants. We prospectively enrolled adult patients with COVID-19 admitted to a tertiary care hospital in South Korea between September 2021 and May 2022. Secondary attack rates were calculated by epidemiologic investigation, and daily saliva samples were collected to evaluate viral shedding kinetics. Genomic and subgenomic SARS-CoV-2 RNA was measured by PCR, and virus culture was performed from daily saliva samples. A total of 88 patients with COVID-19 who agreed to daily sampling and were interviewed, were included. Of the 88 patients, 48 (59%) were infected with Delta, and 34 (41%) with Omicron; a further 5 patients gave undetectable or inconclusive RNA PCR results and 1 was suspected of being coinfected with both variants. Omicron group had a higher secondary attack rate (31% [38/124] vs. 7% [34/456], p < 0.001). Survival analysis revealed that shorter viable virus shedding period was observed in Omicron variant compared with Delta variant (median 4, IQR [1-7], vs. 8.5 days, IQR [5-12 days], p < 0.001). Multivariable analysis revealed that moderate-to-critical disease severity (HR: 1.96), and immunocompromised status (HR: 2.17) were independent predictors of prolonged viral shedding, whereas completion of initial vaccine series or first booster-vaccinated status (HR: 0.49), and Omicron infection (HR: 0.44) were independently associated with shorter viable virus shedding. Patients with Omicron infections had higher transmission rates but shorter periods of transmissible virus shedding than those with Delta infections.
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Affiliation(s)
- Sung‐Woon Kang
- Department of Infectious Diseases, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulRepublic of Korea
| | - Ji Yeun Kim
- Department of Infectious Diseases, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulRepublic of Korea
| | - Heedo Park
- Department of Biomedical Sciences, BK21 Graduate ProgramKorea University College of MedicineSeoulRepublic of Korea
- Department of Microbiology, Institute for Viral Diseases, Vaccine Innovation Center, College of MedicineKorea UniversitySeoulSouth Korea
| | - So Yun Lim
- Department of Infectious Diseases, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulRepublic of Korea
| | - Jeonghun Kim
- Department of Biomedical Sciences, BK21 Graduate ProgramKorea University College of MedicineSeoulRepublic of Korea
- Department of Microbiology, Institute for Viral Diseases, Vaccine Innovation Center, College of MedicineKorea UniversitySeoulSouth Korea
| | - Euijin Chang
- Department of Infectious Diseases, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulRepublic of Korea
| | - Seongman Bae
- Department of Infectious Diseases, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulRepublic of Korea
| | - Jiwon Jung
- Department of Infectious Diseases, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulRepublic of Korea
| | - Min Jae Kim
- Department of Infectious Diseases, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulRepublic of Korea
| | - Yong Pil Chong
- Department of Infectious Diseases, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulRepublic of Korea
| | - Sang‐Oh Lee
- Department of Infectious Diseases, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulRepublic of Korea
| | - Sang‐Ho Choi
- Department of Infectious Diseases, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulRepublic of Korea
| | - Yang Soo Kim
- Department of Infectious Diseases, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulRepublic of Korea
| | - Man‐Seong Park
- Department of Biomedical Sciences, BK21 Graduate ProgramKorea University College of MedicineSeoulRepublic of Korea
- Department of Microbiology, Institute for Viral Diseases, Vaccine Innovation Center, College of MedicineKorea UniversitySeoulSouth Korea
| | - Sung‐Han Kim
- Department of Infectious Diseases, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulRepublic of Korea
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Clinical scoring system to predict viable viral shedding in patients with COVID-19. J Clin Virol 2022; 157:105319. [PMID: 36223658 PMCID: PMC9529675 DOI: 10.1016/j.jcv.2022.105319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/27/2022] [Accepted: 10/01/2022] [Indexed: 12/15/2022]
Abstract
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.
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