Association of Cycle Threshold (Ct) Values of SARS-CoV-2 RT-PCR with Disease Severity and Symptoms among COVID-19 Patients in Ghadamis, Libya

Background: This study aimed to assess the relationship between cycle threshold (Ct) values and disease severity, symptoms, and comorbidities in COVID-19-positive individuals. Materials & Methods: This cross-sectional study was conducted on COVID-19 patients who were admitted to General Ghadamis hospital and diagnosed with COVID-19 from August 2020 to 2021. The association between Ct values and symptoms, demographic characteristics, and clinical characteristics was analyzed by SPSS analysis. Findings: A total of 286 patients were included in this study, of whom 53.5% were female, and 46.5% were male, with a median age of 53 years (range: 1–90 years). Among symptomatic individuals, 51.4% had severe COVID-19 symptoms, and 26.6% had mild symptoms. Severe systemic symptoms were significantly associated with older age groups. The majority of elderly patients (66%) exhibited low Ct values (Ct ≤ 24), indicating a high viral load. Additionally, 64.6 and 40.8% of patients with severe and mild symptoms had low Ct values. Symptoms varied significantly across patients with low, medium, and high Ct values. There was a strong correlation between lower Ct values and the presence of comorbidities such as hypertension, diabetes mellitus, ischemic heart disease (IHD), cerebrovascular accident, and cancer. Conclusion: Compared to asymptomatic individuals, most symptomatic patients with severe and mild symptoms had significantly lower Ct values. These findings highlight the critical role of viral load in SARS-CoV-2 progression and suggest that Ct values could be used to predict the spread of infection in the community.

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Journal
Infection Epidemiology and Microbiology
Published
2024-12-01
DOI
https://doi.org/10.61186/iem.10.4.309
Primary Topic
SARS-CoV-2 detection and testing
Type
article
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article

Association of Cycle Threshold (Ct) Values of SARS-CoV-2 RT-PCR with Disease Severity and Symptoms among COVID-19 Patients in Ghadamis, Libya

Asma Elramli, Ghassan Tayh, Nour Abdulrahman, Elmundr Abughnia et al.
1 links
Infection Epidemiology and Microbiology
SARS-CoV-2 detection and testing
article

Association of Cycle Threshold (Ct) Values of SARS-CoV-2 RT-PCR with Disease Severity and Symptoms among COVID-19 Patients in Ghadamis, Libya

Asma Elramli, Ghassan Tayh, Nour Abdulrahman, Elmundr Abughnia, Siham R. Agouri, Hafsa Alemam, A. Shihab
article en

Abstract

Background: This study aimed to assess the relationship between cycle threshold (Ct) values and disease severity, symptoms, and comorbidities in COVID-19-positive individuals. Materials & Methods: This cross-sectional study was conducted on COVID-19 patients who were admitted to General Ghadamis hospital and diagnosed with COVID-19 from August 2020 to 2021. The association between Ct values and symptoms, demographic characteristics, and clinical characteristics was analyzed by SPSS analysis. Findings: A total of 286 patients were included in this study, of whom 53.5% were female, and 46.5% were male, with a median age of 53 years (range: 1–90 years). Among symptomatic individuals, 51.4% had severe COVID-19 symptoms, and 26.6% had mild symptoms. Severe systemic symptoms were significantly associated with older age groups. The majority of elderly patients (66%) exhibited low Ct values (Ct ≤ 24), indicating a high viral load. Additionally, 64.6 and 40.8% of patients with severe and mild symptoms had low Ct values. Symptoms varied significantly across patients with low, medium, and high Ct values. There was a strong correlation between lower Ct values and the presence of comorbidities such as hypertension, diabetes mellitus, ischemic heart disease (IHD), cerebrovascular accident, and cancer. Conclusion: Compared to asymptomatic individuals, most symptomatic patients with severe and mild symptoms had significantly lower Ct values. These findings highlight the critical role of viral load in SARS-CoV-2 progression and suggest that Ct values could be used to predict the spread of infection in the community.

Infection Epidemiology and MicrobiologyVol. 10(4)
National Center for Disease Control (IN), University of Tripoli (LY), University of Benghazi (LY), Center for Solar Energy Research and Studies (LY), University Elmergib (LY), Manouba University (TN)
Good health and well-being
Openalex Percentile: Top 69%
SARS-CoV-2 detection and testing
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