Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comment
. 2021 May 18;72(10):1868-1869.
doi: 10.1093/cid/ciaa956.

Nasopharyngeal SARS-CoV-2 Load at Hospital Admission as a Predictor of Mortality

Claudia Alteri  1 , Valeria Cento  2 , Marta Vecchi  3 , Luna Colagrossi  4 , Diana Fanti  5 , Chiara Vismara  5 , Massimo Puoti  6 , Carlo Federico Perno  1   5 ; SCoVA Study Group
Collaborators, Affiliations
Comment

Nasopharyngeal SARS-CoV-2 Load at Hospital Admission as a Predictor of Mortality

Claudia Alteri et al. Clin Infect Dis. .
No abstract available

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Contribution of nasopharyngeal SARS-CoV-2 shedding to in-hospital mortality. A, Kaplan-Meier estimates of mortality probability within the first 30 days from disease onset, according to nasopharyngeal Ct values at admission. B, Nasopharyngeal Ct values at admission against time of mortality from disease onset (days) in nonsurvivors. The Pearson correlation coefficient between Ct values and time of mortality is displayed in the top-right corner of the panel (r = +0.390). Abbreviations: Ct, cycle threshold; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
See this image and copyright information in PMC

Comment in

  • Reply to Alteri et al.
    Bhargava A, Fukushima EA, Levine M, Zhao W, Tanveer F, Szpunar SM, Saravolatz L. Bhargava A, et al. Clin Infect Dis. 2021 May 18;72(10):1870. doi: 10.1093/cid/ciaa960. Clin Infect Dis. 2021. PMID: 32674132 No abstract available.

Comment on

  • Predictors for Severe COVID-19 Infection.
    Bhargava A, Fukushima EA, Levine M, Zhao W, Tanveer F, Szpunar SM, Saravolatz L. Bhargava A, et al. Clin Infect Dis. 2020 Nov 5;71(8):1962-1968. doi: 10.1093/cid/ciaa674. Clin Infect Dis. 2020. PMID: 32472676 Free PMC article.

References

    1. Bhargava A, Fukushima EA, Levine M, et al. Predictors for severe COVID-19 infection. Clin Infect Dis 2020. May 30:ciaa674. doi:doi: 10.1093/cid/ciaa674. - DOI - PMC - PubMed
    1. Peiris JS, Chu CM, Cheng VC, et al. ; HKU/UCH SARS Study Group . Clinical progression and viral load in a community outbreak of coronavirus-associated SARS pneumonia: a prospective study. Lancet 2003; 361:1767–72. - PMC - PubMed
    1. To KK, Tsang OT, Leung WS, et al. Temporal profiles of viral load in posterior oropharyngeal saliva samples and serum antibody responses during infection by SARS-CoV-2: an observational cohort study. Lancet Infect Dis 2020; 20:565–74. - PMC - PubMed
    1. Zheng S, Fan J, Yu F, et al. Viral load dynamics and disease severity in patients infected with SARS-CoV-2 in Zhejiang province, China, January-March 2020: retrospective cohort study. BMJ 2020; 369:m1443. - PMC - PubMed
    1. Yu X, Sun S, Shi Y, Wang H, Zhao R, Sheng J. SARS-CoV-2 viral load in sputum correlates with risk of COVID-19 progression. Crit Care 2020; 24:170. - PMC - PubMed