Your browser doesn't support javascript.
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.
  • Kang SW; Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Park H; Department of Microbiology, Vaccine Innovation Center, Biosafety Center, College of Medicine, Korea University, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea.
  • Kim JY; Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Park S; Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea; Division of Infectious Diseases, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, South Korea.
  • Lim SY; Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Lee S; Department of Microbiology, Vaccine Innovation Center, Biosafety Center, College of Medicine, Korea University, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea.
  • Bae JY; Department of Microbiology, Vaccine Innovation Center, Biosafety Center, College of Medicine, Korea University, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea.
  • Kim J; Department of Microbiology, Vaccine Innovation Center, Biosafety Center, College of Medicine, Korea University, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea.
  • Bae S; Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Jung J; Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Kim MJ; Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Chong YP; Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Lee SO; Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Choi SH; Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Kim YS; Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Yun SC; Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Park MS; Department of Microbiology, Vaccine Innovation Center, Biosafety Center, College of Medicine, Korea University, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea. Electronic address: manseong.park@gmail.com.
  • Kim SH; Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea. Electronic address: shkimmd@amc.seoul.kr.
J Clin Virol ; 157: 105319, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2105315
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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Vaccines Limits: Adult / Humans Country/Region as subject: North America Language: English Journal: J Clin Virol Journal subject: Virology Year: 2022 Document Type: Article Affiliation country: J.jcv.2022.105319

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Vaccines Limits: Adult / Humans Country/Region as subject: North America Language: English Journal: J Clin Virol Journal subject: Virology Year: 2022 Document Type: Article Affiliation country: J.jcv.2022.105319