Correlation of the cycle threshold value of SARS-CoV-2 by RT-PCR with biomarker levels in the prognosis of patients hospitalized with COVID-19
Background and Objective: The COVID-19 disease caused by SARS-CoV-2 was declared as pandemic by WHO soon after its emergence in 2019. This virus was known to cause serious clinical symptoms and severe illness. By using RT-PCR, which reports the cycle threshold value, the disease is diagnosed, wherea...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2025-01-01
|
| Series: | Journal of Family Medicine and Primary Care |
| Subjects: | |
| Online Access: | https://journals.lww.com/10.4103/jfmpc.jfmpc_1011_24 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823858140032008192 |
|---|---|
| author | Shweta Singhal Geetika Rana Atul K. Singh Shekhar Pal Shweta Thaledi |
| author_facet | Shweta Singhal Geetika Rana Atul K. Singh Shekhar Pal Shweta Thaledi |
| author_sort | Shweta Singhal |
| collection | DOAJ |
| description | Background and Objective:
The COVID-19 disease caused by SARS-CoV-2 was declared as pandemic by WHO soon after its emergence in 2019. This virus was known to cause serious clinical symptoms and severe illness. By using RT-PCR, which reports the cycle threshold value, the disease is diagnosed, whereas for the severity of the disease, biomarker levels, like IL-6, CRP, D-dimer, serum ferritin and serum procalcitonin, can be measured. We, thus, aimed to explore any potential correlation of the cycle threshold value and biomarker level with the outcome of COVID-19-positive hospitalized patients.
Method:
Patients with the cycle threshold (Ct) value <35 were included in the study and their initial Ct values were noted. Different biochemical parameters, such as C-reactive protein (CRP), serum ferritin, D-dimer, Interleukin-6 and serum procalcitonin, were assessed for severity. They were classified according to Ct value into three groups: Group 1 >30.0, Group 2 20.0–30.0 and Group 3 <20.0.
Results:
The study included 370 hospitalized COVID-19 patients with a mean age (mean ± SD) of 51.08 (16.58%) years and 250 (67.5%) males and 120 (32.4%) females. Comparison of data with outcome shows that IL-6, CRP amongst the biomarker and Ct value (deduced by RT-PCR test) were significantly correlated with the mortality (P value < 0.05). The ROC curve was also plotted for these parameters, which shows that IL-6, CRP, PCT and Ct value were better prognostic marker. Poor prognosis was found in Group 2 (Ct value 20.0–30.0) patients compared to Group 1 and Group 3. There was significant correlation (P value < 0.05) between Ct value and outcome of the patient.
Interpretation and Conclusion:
This study depicts that low Ct value and elevated levels of IL-6 and CRP can be used as a screening tool to detect the mortality in COVID-19 patients as they are significantly correlated with the mortality. |
| format | Article |
| id | doaj-art-aa9f68951ad24438822c107af0c680de |
| institution | Kabale University |
| issn | 2249-4863 2278-7135 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Family Medicine and Primary Care |
| spelling | doaj-art-aa9f68951ad24438822c107af0c680de2025-02-11T13:56:55ZengWolters Kluwer Medknow PublicationsJournal of Family Medicine and Primary Care2249-48632278-71352025-01-0114139039410.4103/jfmpc.jfmpc_1011_24Correlation of the cycle threshold value of SARS-CoV-2 by RT-PCR with biomarker levels in the prognosis of patients hospitalized with COVID-19Shweta SinghalGeetika RanaAtul K. SinghShekhar PalShweta ThalediBackground and Objective: The COVID-19 disease caused by SARS-CoV-2 was declared as pandemic by WHO soon after its emergence in 2019. This virus was known to cause serious clinical symptoms and severe illness. By using RT-PCR, which reports the cycle threshold value, the disease is diagnosed, whereas for the severity of the disease, biomarker levels, like IL-6, CRP, D-dimer, serum ferritin and serum procalcitonin, can be measured. We, thus, aimed to explore any potential correlation of the cycle threshold value and biomarker level with the outcome of COVID-19-positive hospitalized patients. Method: Patients with the cycle threshold (Ct) value <35 were included in the study and their initial Ct values were noted. Different biochemical parameters, such as C-reactive protein (CRP), serum ferritin, D-dimer, Interleukin-6 and serum procalcitonin, were assessed for severity. They were classified according to Ct value into three groups: Group 1 >30.0, Group 2 20.0–30.0 and Group 3 <20.0. Results: The study included 370 hospitalized COVID-19 patients with a mean age (mean ± SD) of 51.08 (16.58%) years and 250 (67.5%) males and 120 (32.4%) females. Comparison of data with outcome shows that IL-6, CRP amongst the biomarker and Ct value (deduced by RT-PCR test) were significantly correlated with the mortality (P value < 0.05). The ROC curve was also plotted for these parameters, which shows that IL-6, CRP, PCT and Ct value were better prognostic marker. Poor prognosis was found in Group 2 (Ct value 20.0–30.0) patients compared to Group 1 and Group 3. There was significant correlation (P value < 0.05) between Ct value and outcome of the patient. Interpretation and Conclusion: This study depicts that low Ct value and elevated levels of IL-6 and CRP can be used as a screening tool to detect the mortality in COVID-19 patients as they are significantly correlated with the mortality.https://journals.lww.com/10.4103/jfmpc.jfmpc_1011_24biomarkercovid-19outcomesensitivityseverityspecificity |
| spellingShingle | Shweta Singhal Geetika Rana Atul K. Singh Shekhar Pal Shweta Thaledi Correlation of the cycle threshold value of SARS-CoV-2 by RT-PCR with biomarker levels in the prognosis of patients hospitalized with COVID-19 Journal of Family Medicine and Primary Care biomarker covid-19 outcome sensitivity severity specificity |
| title | Correlation of the cycle threshold value of SARS-CoV-2 by RT-PCR with biomarker levels in the prognosis of patients hospitalized with COVID-19 |
| title_full | Correlation of the cycle threshold value of SARS-CoV-2 by RT-PCR with biomarker levels in the prognosis of patients hospitalized with COVID-19 |
| title_fullStr | Correlation of the cycle threshold value of SARS-CoV-2 by RT-PCR with biomarker levels in the prognosis of patients hospitalized with COVID-19 |
| title_full_unstemmed | Correlation of the cycle threshold value of SARS-CoV-2 by RT-PCR with biomarker levels in the prognosis of patients hospitalized with COVID-19 |
| title_short | Correlation of the cycle threshold value of SARS-CoV-2 by RT-PCR with biomarker levels in the prognosis of patients hospitalized with COVID-19 |
| title_sort | correlation of the cycle threshold value of sars cov 2 by rt pcr with biomarker levels in the prognosis of patients hospitalized with covid 19 |
| topic | biomarker covid-19 outcome sensitivity severity specificity |
| url | https://journals.lww.com/10.4103/jfmpc.jfmpc_1011_24 |
| work_keys_str_mv | AT shwetasinghal correlationofthecyclethresholdvalueofsarscov2byrtpcrwithbiomarkerlevelsintheprognosisofpatientshospitalizedwithcovid19 AT geetikarana correlationofthecyclethresholdvalueofsarscov2byrtpcrwithbiomarkerlevelsintheprognosisofpatientshospitalizedwithcovid19 AT atulksingh correlationofthecyclethresholdvalueofsarscov2byrtpcrwithbiomarkerlevelsintheprognosisofpatientshospitalizedwithcovid19 AT shekharpal correlationofthecyclethresholdvalueofsarscov2byrtpcrwithbiomarkerlevelsintheprognosisofpatientshospitalizedwithcovid19 AT shwetathaledi correlationofthecyclethresholdvalueofsarscov2byrtpcrwithbiomarkerlevelsintheprognosisofpatientshospitalizedwithcovid19 |