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Tytuł pozycji:

Using COVID-19 cycle threshold and other lab values as predictors of hospitalization need.

Tytuł:
Using COVID-19 cycle threshold and other lab values as predictors of hospitalization need.
Autorzy:
Seeni R; University of Nevada, Reno - School of Medicine, Reno, Nevada, USA.
Firzli T; University of Nevada, Reno - School of Medicine, Reno, Nevada, USA.
Riddle MS; University of Nevada, Reno - School of Medicine, Reno, Nevada, USA.; VA Sierra Nevada Health Care System, Reno, Nevada, USA.
Krasner C; University of Nevada, Reno - School of Medicine, Reno, Nevada, USA.; VA Sierra Nevada Health Care System, Reno, Nevada, USA.
Ashraf S; University of Nevada, Reno - School of Medicine, Reno, Nevada, USA.; VA Sierra Nevada Health Care System, Reno, Nevada, USA.
Siddiqui F; University of Nevada, Reno - School of Medicine, Reno, Nevada, USA.; VA Sierra Nevada Health Care System, Reno, Nevada, USA.
Źródło:
Journal of medical virology [J Med Virol] 2021 May; Vol. 93 (5), pp. 3007-3014. Date of Electronic Publication: 2021 Feb 12.
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Publication: New York Ny : Wiley-Liss
Original Publication: New York, Liss.
MeSH Terms:
COVID-19/*diagnosis
COVID-19 Nucleic Acid Testing/*statistics & numerical data
Hospitalization/*statistics & numerical data
Biomarkers/blood ; COVID-19/blood ; COVID-19 Nucleic Acid Testing/standards ; Coronavirus Nucleocapsid Proteins/genetics ; Hospitals, Veterans ; Humans ; Models, Statistical ; Odds Ratio ; Phosphoproteins/genetics ; Predictive Value of Tests ; Prognosis ; Retrospective Studies ; SARS-CoV-2/genetics ; SARS-CoV-2/isolation & purification ; Severity of Illness Index
References:
World Health Organizatio000n. Coronavirus disease 2019 (COVID-19). Weekly Epidemiological report. www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports. Accessed September 16, 2020.
Centers For Disease Control. CDC 2019-Novel Coronavirus (2019-nCoV) Real-Time RT-PCR Diagnostic Panel. https://www.cdc.gov/coronavirus/2019-ncov/lab/virus-requests.html.
Broughton JP, Deng X, Yu G, et al. CRISPR-Cas12-based detection of SARS-CoV-2. Nat Biotechnol. 2020;38:870-874. https://doi.org/10.1038/s41587-020-0513-4.
La Scola B, Le Bideau M, Andreani J, et al. Viral RNA load as determined by cell culture as a management tool for discharge of SARS-CoV-2 patients from infectious disease wards. Eur J Clin Microbiol Infect Dis. 2020;39:1059-1061. https://doi.org/10.1007/s10096-020-03913-9.
Wu G, Yang P, Xie Y, et al. Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study. Eur Respir J. 2020;56:2001104. https://doi.org/10.1183/13993003.01104-2020.
Tom MichaelR, Mina MichaelJ. To interpret the SARS-CoV-2 test, consider the cycle threshold value. Clin Infect Dis, ciaa619. https://doi.org/10.1093/cid/ciaa619.
World Health Organization. Coronavirus disease 2019 (COVID-19). COVID 19 Therapeutic Trial Synopsis. 2020. https://www.who.int/publications/i/item/covid-19-therapeutic-trial-synopsis. Accessed September 9, 2020.
Riley RD, Snell KI, Ensor J, et al. Minimum sample size for developing a multivariable prediction model: PART II-Binary and time-to-event outcomes. Stat Med. 2019;38:1276-1296. https://doi.org/10.1002/sim.7992.
Harrell FE Jr. Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. 2nd ed. Cham, Switzerland: Springer International Publishing; 2015.
Contributed Indexing:
Keywords: coronavirus; infection; pandemic; replication; spread
Substance Nomenclature:
0 (Biomarkers)
0 (Coronavirus Nucleocapsid Proteins)
0 (Phosphoproteins)
0 (nucleocapsid phosphoprotein, SARS-CoV-2)
Entry Date(s):
Date Created: 20210202 Date Completed: 20210421 Latest Revision: 20210421
Update Code:
20240104
DOI:
10.1002/jmv.26835
PMID:
33527470
Czasopismo naukowe
SARS-COV-2 (COVID-19) is a novel virus that has caused over 28 million cases worldwide and over 900,000 deaths since early 2020, rightfully being classified as a pandemic. COVID-19 is diagnosed via polymerase chain reaction testing which looks at cycle threshold (CT) values of two genes, N2 and E. This study examined CT values of COVID-positive patients at the VA hospital in Reno as well as other lab values and comorbidities to determine if any could aid clinicians in predicting the need for hospitalization and higher levels of care. Multiple variables, including N2 CT value, absolute lymphocyte count (ALC), D-dimer, erythrocyte sedimentation rate, C-reactive protein, fibrinogen, and ferritin were evaluated for potential associations with N2 CT value as well as required level of care (based on World Health Organization [WHO] ordinal score). The results suggest that patients with a N2 CT value less than 34 are four times more likely to have WHO ordinal scores of 4-8 (p = .0021) while controlling for age and comorbidities (DM, cardiac, kidney, and lung disease). Patients of age 55 or greater were 15.18 times more likely to have WHO ordinal scores of 4-8 (p = .012) controlling for N2 CT value and comorbidities. Furthermore, patients with ALC less than 1 were 5.88 times more likely to have WHO ordinal score of 4-8 (p = .00024). N2 CT values also appear to be associated with many commonly obtained markers such as ALC, white blood cell count, C-reactive protein, and D-dimer. Patients with N2 CT values less than 34 were 3.49 times more likely to have ALC values less than 1, controlling for age and comorbidities (p = .0072) while patients 55 or older were 6.66 times more likely to have ALC less than 1 (p = .027). Finally, this study confirms previous conclusions that patients with advanced age had more severe infections and thus will likely require higher levels of care.
(© 2021 Wiley Periodicals LLC.)

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