Enterovirus Infections Clinical Trial
Official title:
Rapid Identification and Clinical Transformation of Various Enterovirus Genotypes Based on CRISPR Technology
| NCT number | NCT04535648 |
| Other study ID # | EV-CRISPR.001 |
| Secondary ID | |
| Status | Withdrawn |
| Phase | |
| First received | |
| Last updated | |
| Start date | April 2023 |
| Est. completion date | September 2024 |
| Verified date | June 2023 |
| Source | Children's Hospital of Fudan University |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Observational |
CRISPR-enterovirus detection system was constructed in this study for detection variety genotypes of enterovirus rapidly in children suspected or diagnosed as enterovirus infection.
| Status | Withdrawn |
| Enrollment | 0 |
| Est. completion date | September 2024 |
| Est. primary completion date | August 2024 |
| Accepts healthy volunteers | No |
| Gender | All |
| Age group | 1 Day to 18 Years |
| Eligibility | Inclusion Criteria: - Patients with clinically suspected or confirmed enterovirus infection Exclusion Criteria: - Patients with clinical diagnosis of non-enterovirus infection |
| Country | Name | City | State |
|---|---|---|---|
| n/a | |||
| Lead Sponsor | Collaborator |
|---|---|
| Children's Hospital of Fudan University |
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Successful construction of CRISPR-enterovirus detection system | It is a binary variable ("yes/no").If the system meet all the following criteria, it would be setted into "yes" .According to the results of CRISPR-enterovirus detection system and the comparison method:
the positive coincidence rate and negative coincidence rate are both over 95.0%; the value of Kappa using to express the consistency of those two methods is over 0.75; the sensitivity and specificity of the CRISPR-enterovirus detection system for detection of enterovirus are over 90.0% and 95.0%; the coefficient of variation between batches is less 15.0%, and each batch detection takes less than 1 hour. |
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