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The aim of the study is to develop an in vitro model of growth of oral biofilms, and validate xCELLigence system for the selection of an effective antibiotic treatment for each patient.
Full description
Periodontitis in a chronic disease caused by bacteria present in the subgingival flora, which induces an inflammatory response of periodontal tissues. It has been suggested that some periodontal pathogens may be inaccessible to mechanical periodontal therapy due to its ability to invade the gingival tissues and evade defense mechanisms of the host. Therefore, it is conceivable that coadjuvant administration of antimicrobials may improve the outcome of mechanical therapy. There are several techniques to monitor periodontal pathogens and determine antibiotic therapy. But the most important disadvantage of conventional laboratory methods is that they are indirect, based on the molecular detection of 3 to 10 bacterial species, without analyzing whether the biofilm as a whole is sensitive or resistant to treatment, being a possible cause of failure and / or recurrence of the disease, in addition to the risk of development of antimicrobial resistance.
The investigators hypothesis is that the specific selection of antimicrobial treatment with the xCELLigence system allows better improvements in clinical parameters than indirect laboratory methods.
Materials and methods:
A randomized double-blind clinical trial will be launched. Samples of subgingival plaque will be taken with paper tips. Subjects included in the study will be randomized to one of 3 treatment groups: scaling and root planing combined with systemically administration of antibiotic suggested by the xCELLigence system; scaling and root planing combined with systemically administration of antibiotic suggested by 'Echevarne' laboratory and scaling and root planing combined with systemically administration of antibiotic suggested by 'Origen' laboratory.
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60 participants in 3 patient groups
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Central trial contact
ANDRÉS LÓPEZ ROLDÁN, DOCTOR; MARTA REGLERO SANTAOLAYA
Data sourced from clinicaltrials.gov
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