Lab Med Online.  2023 Oct;13(4):364-369. 10.47429/lmo.2023.13.4.364.

Correlation between Clinical Severity and Cycle Threshold Values of Real-time RT-PCR at the Time of Admission in COVID-19 Patients

Affiliations
  • 1Department of Laboratory Medicine, Daegu Catholic University School of Medicine, Daegu, Korea

Abstract

Background
The viral load of the patient can be deduced from the cycle threshold (Ct) value. In this study, the correlation between the initial Ct value of the SARS-CoV-2 real-time reverse transcription polymerase chain reaction (RT-PCR) and the clinical features in hospitalized patients in Daegu, South Korea, was explored.
Methods
We investigated the clinical and RT-PCR data of 750 patients with COVID-19 (Coronavirus disease-19) at admission in eight hospitals in Daegu, Korea, and assessed the correlation between the Ct values and COVID-19 severity.
Results
The Ct values for the four genes showed a statistically significant difference (P < 0.001) within the same specimen type. Among the 716 patients classified based on clinical severity, the Ct value was a significant predictor of disease severity at the time of admission. The Ct values of the E, RdRP , and N genes showed significant differences among the eight severity groups (P < 0.001). Compared to patients in the non-severe group (categories 1 to 4), those in the severe group (categories 5 to 8) exhibited a relatively lower distribution of Ct values for the E (P < 0.001), RdRP (P =0.029), ORF1a (P =0.009), and N genes (P =0.003).
Conclusions
The Ct value, which reflects the amount of virus, can serve as a supportive parameter for predicting the severity of COVID-19 in patients at the time of admission.

Keyword

COVID-19; SARS-CoV-2; RT-PCR; Cycle threshold; Severity

Reference

1. WHO coronavirus (COVID-19). https://covid19.who.int/. Last accessed on Jun 2023.
2. Zou L, Dai L, Zhang Y, Fu W, Gao Y, Zhang Z, et al. 2020; Clinical characteristics and risk factors for disease severity and death in patients with coronavirus disease 2019 in Wuhan, China. Front Med (Lausanne). 7:532. DOI: 10.3389/fmed.2020.00532. PMID: 32903644. PMCID: PMC7438719.
3. Yoo EH, Chang SH, Song DY, Lee CH, Cheong GY, Park S, et al. 2022; Comprehensive laboratory data analysis to predict the clinical severity of coronavirus disease 2019 in 1,952 patients in Daegu, Korea. Ann Lab Med. 42:24–35. DOI: 10.3343/alm.2022.42.1.24. PMID: 34374346. PMCID: PMC8368228.
4. Skevaki C, Fragkou PC, Cheng C, Xie M, Renz H. 2020; Laboratory characteristics of patients infected with the novel SARS-CoV-2 virus. J Infect. 81:205–12. DOI: 10.1016/j.jinf.2020.06.039. PMID: 32579986. PMCID: PMC7306198.
5. Chen W, Xiao Q, Fang Z, Lv X, Yao M, Deng M. 2021; Correlation analysis between the viral load and the progression of COVID-19. Comput Math Methods Med. 2021:9926249. DOI: 10.1155/2021/9926249. PMID: 34122620. PMCID: PMC8189785.
6. Rabaan AA, Tirupathi R, Sule AA, Aldali J, Mutair AA, Alhumaid S, et al. 2021; Viral dynamics and real-time RT-PCR Ct values correlation with disease severity in COVID-19. Diagnostics (Basel). 11:1091. DOI: 10.3390/diagnostics11061091. PMID: 34203738. PMCID: PMC8232180.
7. Kim IH, Kang BH, Seo SH, Park YE, Kim GJ, Lee SW, et al. 2021; Early laboratory preparedness of the Korea Disease Control and Prevention Agency and response to unknown pneumonia outbreak from Wuhan, China, in January 2020. Ann Lab Med. 41:532–9. DOI: 10.3343/alm.2021.41.6.532. PMID: 34108280. PMCID: PMC8203432.
8. WHO Working Group on the Clinical Characterisation and Management of COVID-19 infection. 2020; A minimal common outcome measure set for COVID-19 clinical research. Lancet Infect Dis. 20:E192–7.
9. Hong KH, Lee SW, Kim TS, Huh HJ, Lee J, Kim SY, et al. 2020; Guidelines for laboratory diagnosis of coronavirus disease 2019 (COVID-19) in Korea. Ann Lab Med. 40:351–60. DOI: 10.3343/alm.2020.40.5.351. PMID: 32237288. PMCID: PMC7169629.
10. Bustin SA, Mueller R. 2005; Real-time reverse transcription PCR (qRT-PCR) and its potential use in clinical diagnosis. Clin Sci (Lond). 109:365–79. DOI: 10.1042/CS20050086. PMID: 16171460.
11. Feikin DR, Alraddadi B, Qutub M, Shabouni O, Curns A, Oboho IK, et al. 2015; Association of higher MERS-CoV virus load with severe disease and death, Saudi Arabia, 2014. Emerg Infect Dis. 21:2029–35. DOI: 10.3201/eid2111.150764. PMID: 26488195. PMCID: PMC4622256.
12. Chu CM, Poon LL, Cheng VC, Chan KS, Hung IF, Wong MM, et al. 2004; Initial viral load and the outcomes of SARS. CMAJ. 171:1349–52. DOI: 10.1503/cmaj.1040398. PMID: 15557587. PMCID: PMC527336.
13. Granados A, Peci A, McGeer A, Gubbay JB. 2017; Influenza and rhinovirus viral load and disease severity in upper respiratory tract infections. J Clin Virol. 86:14–9. DOI: 10.1016/j.jcv.2016.11.008. PMID: 27893998.
14. El Zein S, Chehab O, Kanj A, Akrawe S, Alkassis S, Mishra T, et al. 2021; SARS-CoV-2 infection: initial viral load (iVL) predicts severity of illness/outcome, and declining trend of iVL in hospitalized patients corresponds with slowing of the pandemic. PLoS One. 16:e0255981. DOI: 10.1371/journal.pone.0255981. PMID: 34529675. PMCID: PMC8445469.
15. Yu X, Sun S, Shi Y, Wang H, Zhao R, Sheng J. 2020; SARS-CoV-2 viral load in sputum correlates with risk of COVID-19 progression. Crit Care. 24:170. DOI: 10.1186/s13054-020-02893-8. PMID: 32326952. PMCID: PMC7179376.
16. Tsukagoshi H, Shinoda D, Saito M, Okayama K, Sada M, Kimura H, et al. 2021; Relationships between viral load and the clinical course of COVID-19. Viruses. 13:304. DOI: 10.3390/v13020304. PMID: 33672005. PMCID: PMC7919281.
17. Kociolek LK, Muller WJ, Yee R, Dien Bard J, Brown CA, Revell PA, et al. 2020; Comparison of upper respiratory viral load distributions in asymptomatic and symptomatic children diagnosed with SARS-CoV-2 infection in pediatric hospital testing programs. J Clin Microbiol. 59:e02593–20. DOI: 10.1128/JCM.02593-20. PMID: 33093026. PMCID: PMC7771452.
18. Pujadas E, Chaudhry F, McBride R, Richter F, Zhao S, Wajnberg A, et al. 2020; SARS-CoV-2 viral load predicts COVID-19 mortality. Lancet Respir Med. 8:e70. DOI: 10.1016/S2213-2600(20)30354-4. PMID: 32771081.
19. Kim C, Kim W, Jeon JH, Seok H, Kim SB, Choi HK, et al. 2021; COVID-19 infection with asymptomatic or mild disease severity in young patients: clinical course and association between prevalence of pneumonia and viral load. PLoS One. 16:e0250358. DOI: 10.1371/journal.pone.0250358. PMID: 33882097. PMCID: PMC8059848.
20. Le Borgne P, Solis M, Severac F, Merdji H, Ruch Y, Alamé Intern K, et al. 2021; SARS-CoV-2 viral load in nasopharyngeal swabs in the emergency department does not predict COVID-19 severity and mortality. Acad Emerg Med. 28:306–13. DOI: 10.1111/acem.14217. PMID: 33481307. PMCID: PMC8014851.
21. Lee S, Kim T, Lee E, Lee C, Kim H, Rhee H, et al. 2020; Clinical course and molecular viral shedding among asymptomatic and symptomatic patients with SARS-CoV-2 infection in a community treatment center in the Republic of Korea. JAMA Intern Med. 180:1447–52. DOI: 10.1001/jamainternmed.2020.3862. PMID: 32780793. PMCID: PMC7411944.
22. Dadras O, Afsahi AM, Pashaei Z, Mojdeganlou H, Karimi A, Habibi P, et al. 2022; The relationship between COVID-19 viral load and disease severity: a systematic review. Immun Inflamm Dis. 10:e580. DOI: 10.1002/iid3.580. PMID: 34904379. PMCID: PMC8926507.
23. Miller JA. How to say no to reporting Ct values. https://www.aacc.org/cln/articles/2021/december/how-to-say-no-to-reporting-ct-values. Updated on Dec 2021.
24. Du P, Li D, Wang A, Shen S, Ma Z, Li X. 2021; A systematic review and meta-analysis of risk factors associated with severity and death in COVID-19 patients. Can J Infect Dis Med Microbiol. 2021:6660930. DOI: 10.1155/2021/6660930. PMID: 33936349. PMCID: PMC8040926.
Full Text Links
  • LMO
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr