University Hospitals of North Midlands NHS Trust
Stoke-on-Trent, Staffordshire, ST4 6QG, United Kingdom
NCT Number: NCT04651413
This is a retrospective observational study. The study will use high quality, reliable data that has already been collected for the ISARIC 4C COVID-19 study in order to analyse the relation between predictor variables (laboratory polymerase chain reaction [PCR] cycle threshold [Ct] values) and outcomes for COVID-19 disease within a hospitalised population.
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Observational
Stoke-on-Trent, Staffordshire, ST4 6QG, United Kingdom
Currently, in the United Kingdom, the recommended method for diagnostic testing and screening for COVID-19 is quantitative (real-time) reverse transcription polymerase chain reaction (PCR) analysis of viral RNA extracted from upper respiratory tract samples. A positive result indicates that SARS-CoV-2 RNA has been detected with a cycle threshold (Ct) value of less than 38 cycles of amplification (n.b. this is a locally agreed value, which is based on analysis of proficiency testing performance and other local testing data. Cycle threshold (Ct) values inversely correlate to the amount of target nucleic acid in the sample. Thus, a lower cycle threshold (Ct) value indicates a greater amount of target nucleic acid in a sample i.e. a higher viral load.
A recent scoping literature review has revealed only a handful of published studies to date that explore an association between cycle threshold (Ct) values and disease severity or clinical outcome in patients infected with the SARS-CoV-2 virus. The majority of these studies have been conducted in China with small patient sample sizes. Thus, a larger-scale study which explores the relationship between viral load and disease severity is required; indeed, the World Health Organization (WHO) has recently highlighted this as an area which needs further research.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Data collection and interpretation
Time frame: 01/02/2020 to 01/07/2020
Determine if cycle threshold (Ct) levels are an independent predictor for:
I. Hypoxia resulting in oxygen dependency or oxygen saturations < 92%, at admission and at any other point during the episode of care; II. admission to intensive care; III. mechanical ventilation and
Time frame: 01/02/2020 to 01/07/2020
Determine if sociodemographic factors are significantly associated with lower cycle threshold (Ct) levels.
University Hospitals of North Midlands NHS Trust
Other
Can Quantitative (Real-time) Polymerase Chain Reaction (PCR) Cycle Threshold (Ct) Values be Used to Predict Poor Outcomes for Patients Infected With SARS-CoV-2? A Local Exploratory Sub-study at The University Hospitals of North Midlands NHS Trust in Collaboration With the International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 Trial
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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