CORona Drug InTEractions database
Hydroxychloroquine and Azithromycin as a treatment of COVID-19: preliminary results of an open-label non-randomized clinical trial
Philippe GAUTRET, Jean Christophe LAGIER, Philippe PAROLA, Van Thuan HOANG, Line MEDDED, Morgan MAILHE, Barbara DOUDIER, Johan COURJON, Valerie GIORDANENGO, Vera ESTEVES VIEIRA, Herve TISSOT DUPONT, S
Abstract
Background Chloroquine and Hydroxychloroquine have been found to be efficient on COV-19, and reported to be efficient in Chinese patients infected by this virus. We evaluate the role of Hydroxychloroquine on respiratory viral loads. Patients and methods Patients were included in a single arm protocol to receive 600mg of hydroxychloroquine daily and their viral load in nasal swabs was tested daily. Depending on their clinical presentation azithromycin was added to the treatment. Untreated patients from another center and cases refusing the protocol were included as negative control. Presence and absence of virus at Day-6 was considered the end point. Results Twenty cases were treated in this study and showed a significant reduction of the viral carriage at D-6 compared to controls, and much lower than reported average carrying duration of untreated patients in the literature. Azithromycin added to Hydroxychloroquine was significantly more efficient for virus elimination. Conclusion : Hydroxychloroquine is significantly associated with viral load reduction/disappearance in patients with COVID-19 and its effect is reinforced by Azithromycin.
Source: MedRxiv
Related molecules
| Name | Synonyms | Genes |
|---|---|---|
| Azithromycin | homoerythromycin A, Azithramycine, Azithromycin (TN), Azasite (TN), Azithromycin (INN) | |
| Hydroxychloroquine | HCQ, Oxichlorochine, Oxichloroquine |
| Target | Target affiliation | Drug | Type | Result |
|---|---|---|---|---|
| Target | Target affiliation | Drug | Type | Result |
| Name | Synonyms | Genes | Origin |
|---|---|---|---|
| Name | Synonyms | Genes | Origin |
| Name | Synonyms | PubChem | DrugBank | RCSB PDB | ATC |
|---|---|---|---|---|---|
| Name | Synonyms | PubChem | DrugBank | RCSB PDB | ATC |
| Title | Authors | DOI | Source | Article type | Date |
|---|---|---|---|---|---|
| Title | Authors | DOI | Source | Article type | Date |
| Title | Status | Phases | Start Date | Prim. Comp. Date | Comp. Date | First Post. Date |
|---|---|---|---|---|---|---|
| Title | Status | Phases | Start Date | Prim. Comp. Date | Comp. Date | First Post. Date |
CORDITE (CORona Drug InTEractions database) collects and aggregates data from PubMed, MedRxiv, BioRxiv, ChemRxiv and PMC for SARS-CoV-2. Its main focus is set on drug interactions either addressing viral proteins or human proteins that could be used to treat COVID. It collects and provides up-to-date information on computational predictions, in vitro, as well as in vivo study data.
The information provided is for research only and we cannot guarantee the correctness of the data.
Please contact dominik.heider@uni-muenster.de for further information.
Programmable access
There is an open API for access programmatically to the database. The API will print a JSON output:
- Interactions
https://cordite-api.uni-muenster.de/api.php?action=list&table=interaction
- Targets
https://cordite-api.uni-muenster.de/api.php?action=list&table=target
- Drugs
https://cordite-api.uni-muenster.de/api.php?action=list&table=drug
- Publications
https://cordite-api.uni-muenster.de/api.php?action=list&table=publication
- Clinical trials
https://cordite-api.uni-muenster.de/api.php?action=list&table=clinical_trial