Journals / Medicine Science / 2021 / Cilt: 10 - Sayı: 2

Evaluation of the relationship between viral load and biochemical parameters in Covid-19 patients

Pages
469–473
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

To investigate the association with disease severity and viral load, quantitative PCR results would be more accurate than semi-quantitative Ct results.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, we aimed to investigate the relationship between the viral load detected by PCR and the biochemical and demographic data of patients who were admitted to our hospital and positive for SARS-CoV-2 infection.
📊
Key Findings & Data:Data from 132 laboratory-confirmed adult patients were retrospectively analyzed.
💡
Conclusion & Impact:To investigate the association with disease severity and viral load, quantitative PCR results would be more accurate than semi-quantitative Ct results.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this study, we aimed to investigate the relationship between the viral load detected by PCR and the biochemical and demographic data of patients who were admitted to our hospital and positive for SARS-CoV-2 infection. Data from 132 laboratory-confirmed adult patients were retrospectively analyzed. COVID-19 patients were classified in different groups as pneumonia-non pneumonia and symptomatic- asymptomatic patients. In all, 77.2% patients were symptomatic and 39.4% had pneumonia. The most common laboratory abnormalities of all patients were elevated C-reactive protein (CRP), D-dimer, Fibrinogen and Neutrophil/lymphocyte ratio (NLR). Statistically significant differences (p < 0.05) were found between the symptomatic and asymptomatic groups regarding CRP, NLR, Prothrombin Time (PT), international normalized ratio (INR), D-dimer and Fibrinogen. Additionally of these parameters significantly higher aspartate amino-transferase (AST), blood urea nitrogen (BUN), creatinine and lactate dehydrogenase (LDH) observed in pneumonia group compared to non-pneumonia group. The cycle threshold (Ct) values in all patients were 32.42 ± 6.03 and there were no significant differences in Ct values between the groups. There was a negatively significant correlation between Ct and blood urea nitrogen (BUN) (r=-0,205, P=0.019). Abnormalities of several hematologic and biochemical biomarkers were associated with SARSCoV-2 infection and disease severity. To investigate the association with disease severity and viral load, quantitative PCR results would be more accurate than semi-quantitative Ct results.

🔖

Cite This Article

Nar, R., Akbudak, I. H., Avci, E., Senol, H., Sari, T., Caliskan, A., Ugurlu, E. (2022). Evaluation of the relationship between viral load and biochemical parameters in Covid-19 patients. Medicine Science, Cilt: 10 - Sayı: 2, 469–473. https://ajindex.com/articles/579696

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (11)

  1. Liu Y, Yang Y, Zhang C, et al. Clinical and biochemical indexes from 2019- nCoV infected patients linked to viral loads and lung injury. Sci China Life Sci. 2020;63:364-74.
  2. Al-Samkari H, Karp Leaf RS, Dzik WH, et al. COVID-19 and coagulation: bleeding and thrombotic manifestations of SARS-CoV-2 infection. Blood. 2020;136:489-500.
  3. Pourbagheri-Sigaroodi A, Bashash D, Fateh F, et al. Laboratory findings in COVID-19 diagnosis and prognosis. Clin Chim Acta. 2020;510:475-82.
  4. Wang W, Xu Y, Gao R, et al. Detection of SARS-CoV-2 in Different Types of Clinical Specimens. JAMA. 2020;323:1843-4.
  5. Watson J, Whiting PF, Brush JE. Interpreting a covid-19 test result. BMJ. 2020;369:m1808. Henry BM, de Oliveira MHS, Benoit S, et al. Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): a meta-analysis. Clin Chem Lab Med. 2020;58:1021-8.
  6. Liu Y, Liao W, Wan L, et al. Correlation between relative nasopharyngeal virus rna load and lymphocyte count disease severity in patients with COVID-19 [published online ahead of print, 2020 Apr 10]. Viral Immunol. 2020;10.1089/vim.2020.0062. Xu T, Chen C, Zhu Z, et al. Clinical features and dynamics of viral load in imported and non-imported patients with COVID-19. Int J Infect Dis. 2020;94:68-71. Centers for Disease Control and Prevention. Symptoms of coronavirus. 2020. Available at: https://www.cdc.gov/coronavirus/2019-ncov/ symptoms-testing/symptoms.html. accessed date 20.09.2020.
  7. Stokes EK, Zambrano LD, Anderson KN, et al. Coronavirus disease 2019 case surveillance—United States, January 22–May 30, 2020. MMWR Morb Mortal Wkly Rep. 2020;69. Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72,314 cases from the Chinese Center for Disease Control and Prevention. JAMA. 2020.
  8. Deng X, Liu B, Li J, et al. Blood biochemical characteristics of patients with coronavirus disease 2019 (COVID-19): a systemic review and metaanalysis. Clin Chem Lab Med. 2020;58:1172-81.
  9. Yan Ma, Qing-nan Xu, Feng-li Wang, et al. Characteristics of asymptomatic patients with SARS-CoV-2 infection in Jinan, China. Microbes Infect. 2020;22:212–7.
  10. Liu K, Chen Y, Lin R, et al. Clinical features of COVID-19 in elderly patients: a comparison with young and middle-aged patients. J Infect. 2020;80:14-8.
  11. Fine MJ, Auble TE, Yealy DM, et al. A prediction rule to identify lowrisk patients with com