Ignite Creation Date:
2025-12-25 @ 3:46 AM
Ignite Modification Date:
2025-12-26 @ 2:33 AM
Study NCT ID:
NCT06378502
Status:
NOT_YET_RECRUITING
Last Update Posted:
2024-04-22
First Post:
2024-04-17
Is NOT Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
The Effect of Different Antibiotic Protocols on Peri-implant Tissue Health
Sponsor:
Universita degli Studi di Genova
Organization:
Study Overview
Official Title:
The Effect of Different Antibiotic Protocols for Dental Implant Surgery on Peri-implant Tissue Health and on Oral Microbiome and Resistome
Status:
NOT_YET_RECRUITING
Status Verified Date:
2024-04
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
The aim of the present project (non-inferiority trial) is to evaluate the effect of different antibiotic strategies (long-span vs. short-span) for implant surgery on peri-implant tissue health, oral microbiome (included resistome) and salivary MiRNomics in healthy patients.
Detailed Description:
A total of 80 patients will be included and randomly divided in two groups:
1. Long-span prescription: 1 g Amoxicillin every 8 h starting 1 day before surgery and for 5 days after surgery
2. Short-span prescription: 2 g Amoxicillin 1 h before surgery Before surgery, patients will undergo an antibiotic sensitivity test (AST), and non-invasive samples will be taken to analyse oral microbiome including resistome. Saliva samples will be also taken for miRNomics analysis. Patients will be rehabilitated with single implants or partial implant-supported fixed prostheses. The day of surgery, samples of peripheral blood will be taken and peripheral blood mononuclear cells (PBMCs) isolated from the first 30 patients in order to implement a micro-fluidic bioreactor replicating the bone healing process of each patient. 3D bone models will be developed that are suitable for drug screening.
At 2 and 6 months post-treatment, AST test and oral microbiome and resistome analysis will be performed again. 2 months after treatment, a new saliva sample of the patients will be also taken, analysed and compared using MiRnomics technology with the preoperative one with the further aim of identifying reliable biomarkers of mucositis and perimplantitis. During the 12-month follow-up implant survival rate, marginal bone loss (MBL), biologic and technical complication rate and peri-implant health parameters (including plaque index, probing depth and bleeding on probing) will be evaluated.
Parametric or non-parametric comparative tests, as appropriate, will be performed to detect differences between the groups in the various outcome variables. The effect of patient-related and implant-related predictive factors on the various outcomes will be evaluated using multilevel logistic regression analysis. Metadata will be analyzed also with 4th generation Artificial Neural Networks (ANNs) (machine learning) using unsupervised and supervised systems.
Expected results: The present project is expected to clarify if the short-span antibiotic therapy is not inferior to the long-span one in healthy patients undergoing implant surgery. The outcomes will contribute to the development of effective clinical guidelines that will help to tackle the issue of antimicrobial resistance. In addition, the development and validation of a 3D bone model to be used for drug screening is expected, that might overcome limitations of currently available 2D bone models and animal studies. A further expected result is the identification of biomarkers for diagnosis and prognosis in implant dentistry, through salivary miRNomics that might lead to the development of a non-invasive liquid biopsy.
1. Long-span prescription: 1 g Amoxicillin every 8 h starting 1 day before surgery and for 5 days after surgery
2. Short-span prescription: 2 g Amoxicillin 1 h before surgery Before surgery, patients will undergo an antibiotic sensitivity test (AST), and non-invasive samples will be taken to analyse oral microbiome including resistome. Saliva samples will be also taken for miRNomics analysis. Patients will be rehabilitated with single implants or partial implant-supported fixed prostheses. The day of surgery, samples of peripheral blood will be taken and peripheral blood mononuclear cells (PBMCs) isolated from the first 30 patients in order to implement a micro-fluidic bioreactor replicating the bone healing process of each patient. 3D bone models will be developed that are suitable for drug screening.
At 2 and 6 months post-treatment, AST test and oral microbiome and resistome analysis will be performed again. 2 months after treatment, a new saliva sample of the patients will be also taken, analysed and compared using MiRnomics technology with the preoperative one with the further aim of identifying reliable biomarkers of mucositis and perimplantitis. During the 12-month follow-up implant survival rate, marginal bone loss (MBL), biologic and technical complication rate and peri-implant health parameters (including plaque index, probing depth and bleeding on probing) will be evaluated.
Parametric or non-parametric comparative tests, as appropriate, will be performed to detect differences between the groups in the various outcome variables. The effect of patient-related and implant-related predictive factors on the various outcomes will be evaluated using multilevel logistic regression analysis. Metadata will be analyzed also with 4th generation Artificial Neural Networks (ANNs) (machine learning) using unsupervised and supervised systems.
Expected results: The present project is expected to clarify if the short-span antibiotic therapy is not inferior to the long-span one in healthy patients undergoing implant surgery. The outcomes will contribute to the development of effective clinical guidelines that will help to tackle the issue of antimicrobial resistance. In addition, the development and validation of a 3D bone model to be used for drug screening is expected, that might overcome limitations of currently available 2D bone models and animal studies. A further expected result is the identification of biomarkers for diagnosis and prognosis in implant dentistry, through salivary miRNomics that might lead to the development of a non-invasive liquid biopsy.
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
False
Is an FDA AA801 Violation?: