Journal of Diagnostics Concepts & Practice >

2022 , Vol. 21 >Issue 02: 169 - 173

DOI: https://doi.org/10.16150/j.1671-2870.2022.02.013

Exchange of anti-epidemic practice

Correlation and influencing factors analysis of the cycle threshold value in detection of novel coronavirus nucleic acid(Omicron) and the negative conversion cycle in infected patients

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  • Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 201801, China

Received date: 2022-05-27

  Online published: 2022-04-25

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Abstract

Objective: To explore the relationship between the cycle threshold (Ct) value of ORF1ab gene and N gene in the first admission detected by novel coronavirus (Omicron) nucleic acid and the negative conversion cycle of infected patients. Methods: 5 212 patients with novel coronavirus omicron variant infection were admitted to the Northern Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from March 2022 to April 2022 were collected, according to the patient′s previous history and the tests of relevant indexes after admission, including 2 746 cases in non-basic disease group and 2 466 cases in the basic disease group. All subjects received the Ct value of the ORF1ab genes and the N genes tests. Statistical analysis of the difference of the negative conversion cycle of ORF1ab gene and N gene between non-basic disease group and basic disease group under different Ct values at the first admission. Pearson linear correlation analysis was used to assess the association of Ct value of ORF1ab gene and N gene with the negative conversion cycle, and multiple linear regression was used to analyze the factors affecting the negative conversion cycle. Results: The Ct values of ORF1ab gene and N gene in patients novel coronavirus infection were negatively correlated with the negative conversion cycle (rORF1ab=-0.4622, P<0.01; rN=-0.5428, P<0.01). In the case of Ct value ≤20 and 20 <Ct value ≤30, there was a significant difference in the negative conversion cycle between the group with basic diseases and the group with non-basic disease, which the negative conversion cycle of the group with basic diseases was significantly higher than that of the group with non-basic disease (P<0.05); When the Ct value of the ORF1ab gene increases by one cycle, the negative conversion cycle is shortened by 0.21 days, and when the Ct value of the N gene increases by one cycle, the negative conversion cycle is shortened by 0.26 days, in addition, age and basic diseases are risk factors. Conclusions: The Ct values of ORF1ab gene and N gene in the first admission are related to the negative conversion cycle of patients with novel coronavirus (Omicron) infection, which can be used as an independent predictor of the negative conversion cycle of patients with novel coronavirus infection and have a certain value in guiding patients with novel coronavirus infection to reduce the frequency of nucleic acid detection and to assess disease progression.

Key words： Novel coronavirus; ORF1ab gene; N gene; Cycle threshold value; Negative conversion cycle

Cite this article

DING Ning, CHEN Shikai, MENG Jun, DAI Jing, JIN Peipei, et al . Correlation and influencing factors analysis of the cycle threshold value in detection of novel coronavirus nucleic acid(Omicron) and the negative conversion cycle in infected patients[J]. Journal of Diagnostics Concepts & Practice, 2022 , 21(02) : 169 -173 . DOI: 10.16150/j.1671-2870.2022.02.013

References

[1] Asch DA, Sheils NE, Islam MN, et al. Variation in US Hospital Mortality Rates for Patients Admitted With COVID-19 During the First 6 Months of the Pandemic[J]. JAMA Intern Med, 2021, 181(4):471-478.
[2] Kompaniyets L, Goodman AB, Belay B, et al. Body Mass Index and Risk for COVID-19-Related Hospitalization, Intensive Care Unit Admission, Invasive Mechanical Ventilation, and Death - United States, March-December 2020[J]. MMWR Morb Mortal Wkly Rep, 2021, 70(10):355-361.
[3] Nguyen NT, Chinn J, Nahmias J, et al. Outcomes and Mortality Among Adults Hospitalized With COVID-19 at US Medical Centers[J]. JAMA Netw Open, 2021, 4(3):e210417.
[4] Roth GA, Emmons-Bell S, Alger HM, et al. Trends in Patient Characteristics and COVID-19 In-Hospital Mortality in the United States During the COVID-19 Pandemic[J]. JAMA Netw Open, 2021, 4(5):e218828.
[5] Garg S, Kim L, Whitaker M, et al. Hospitalization Rates and Characteristics of Patients Hospitalized with Laboratory-Confirmed Coronavirus Disease 2019 - COVID-NET, 14 States, March 1-30, 2020[J]. MMWR Morb Mortal Wkly Rep, 2020,; 69(15):458-464.
[6] Peckham H, de Gruijter NM, Raine C, et al. Male sex identified by global COVID-19 meta-analysis as a risk factor for death and ITU admission[J]. Nat Commun, 2020, 11(1):6317.
[7] Ioannou GN, Locke E, Green P, et al. Risk Factors for Hospitalization, Mechanical Ventilation, or Death Among 10 131 US Veterans With SARS-CoV-2 Infection[J]. JAMA Netw Open, 2020, 3(9):e2022310.
[8] Bullard J, Dust K, Funk D, et al. Predicting Infectious Severe Acute Respiratory Syndrome Coronavirus 2 From Diagnostic Samples[J]. Clin Infect Dis, 2020, 71(10):2663-2666.
[9] Gniazdowski V, Paul Morris C, Wohl S, et al. Repeated Coronavirus Disease 2019 Molecular Testing: Correlation of Severe Acute Respiratory Syndrome Coronavirus 2 Culture With Molecular Assays and Cycle Thresholds[J]. Clin Infect Dis, 2021, 73(4):e860-e869.
[10] Young BE, Ong SWX, Ng LFP, et al. Viral Dynamics and Immune Correlates of Coronavirus Disease 2019 (COVID-19) Severity[J]. Clin Infect Dis, 2021, 73(9):e2932-e2942.
[11] Dahdouh E, Lázaro-Perona F, Romero-Gómez MP, et al. C t values from SARS-CoV-2 diagnostic PCR assays should not be used as direct estimates of viral load[J]. J Infect, 2021, 82(3):414-451.
[12] Magleby R, Westblade LF, Trzebucki A, et al. Impact of Severe Acute Respiratory Syndrome Coronavirus 2 Viral Load on Risk of Intubation and Mortality Among Hospitalized Patients With Coronavirus Disease 2019[J]. Clin Infect Dis, 2021, 73(11):e4197-e4205.
[13] Fajnzylber J, Regan J, Coxen K, et al. SARS-CoV-2 viral load is associated with increased disease severity and mortality[J]. Nat Commun, 2020, 11(1):5493.
[14] Rao SN, Manissero D, Steele VR, et al. A Systematic Review of the Clinical Utility of Cycle Threshold Values in the Context of COVID-19[J]. Infect Dis Ther, 2020, 9(3):573-586.
[15] Feikin DR, Alraddadi B, Qutub M, et al. Association of Higher MERS-CoV Virus Load with Severe Disease and Death, Saudi Arabia, 2014[J]. Emerg Infect Dis, 2015, 21(11):2029-2035.
[16] Lee N, Chan MC, Lui GC, et al. High Viral Load and Respiratory Failure in Adults Hospitalized for Respiratory Syncytial Virus Infections[J]. J Infect Dis, 2015, 212(8):1237-1240.
[17] Cereda D, Manica M, Tirani M, et al. The early phase of the COVID-19 epidemic in Lombardy, Italy[J]. Epidemics, 2021, 37:100528.
[18] Miller EH, Zucker J, Castor D, et al. Pretest Symptom Duration and Cycle Threshold Values for Severe Acute Respiratory Syndrome Coronavirus 2 Reverse-Transcription Polymerase Chain Reaction Predict Coronavirus Disease 2019 Mortality[J]. Open Forum Infect Dis, 2021, 8(2):ofab003.
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