Microbiological Diagnosis of Infectious Keratitis to Pathogenic Fastidious Germs
- Disease/Condition
- Infectious Keratitis
- Drug/Device/Intervention
- Blood sampling
- Study type
- Interventional
- Intervention type
- other
- Primary sponsor
- Assistance Publique Hopitaux De Marseille
- Location
- Marseille, France
- Phase
- N/A
- Start date
- Aug 12, 2013
- End date
- Oct 26, 2022
- Enrollment
- 442 participants
Sensitivity, specificity, positive and negative predictive values, Diagnostic odds ratio.
Infectious keratitis are favored by the circumstances causing the small trauma of the corneal
 epithelium, corneal surgery, corneal dryness under health system such as Sjögren's syndrome
 rheumatoid arthritis, or much more frequently wearing contact lenses. If the majority of
 infectious keratitis are favourable, some lead to serious injury of the cornea, or even
 corneal perforation which result an endophthalmitis. This unfavourable evolution may lead to
 blindness due to corneal damage, the endo-ocular lesions or enucleation of the eyeball. This
 negative evolution is encountered while the infectious keratitis due to tedious germs of
 difficult diagnosis such as nontuberculous Mycobacterial, fungal infections, fungal
 keratitis, amoebic keratitis, and certain viral keratitis. The microbiological diagnosis of
 routine is based on the systematic search for pathogens tedious from invasive sampling of
 cornea by vaccinostyle. We set up a new non-invasive corneal swab diagnostic method.
- Registry
- ClinicalTrials.gov
- Trial ID
- NCT02819232
- Type
- Non-Device Trial
Access comprehensive clinical trial information for NCT02819232 through Pure Global AI's free database. This phase not specified trial is sponsored by Assistance Publique Hopitaux De Marseille and is currently Completed. The study focuses on Infectious Keratitis. Target enrollment is 442 participants.
This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.