The aim of this study was to evaluate the accuracy of the Implant Disease Risk Assessment (IDRA) tool in predicting the occurrence of peri-implantitis in patients who have received at least one implant, with a follow-up of up to 8 years. The records of patients who received one or more implants in the periodontology or oral surgery department of Saint Joseph University of Beirut between 2014 and 2018 were collected. Parameters related to the IDRA tool were obtained and the risk level calculated. Patients were recalled to assess their peri-implant status. The association between the IDRA risk level and the incidence of peri-implantitis was estimated. Overall, 145 patients were included in the study. A statistically significant association was found between the IDRA risk levels and the incidence of peri-implantitis (P = 0.003). High risk patients had 5.2 times higher odds of developing peri-implantitis than low-to-moderate risk patients (P < 0.001). Receiver operating characteristic curve analysis demonstrated a 69% probability that IDRA can identify patients at risk of developing peri-implantitis (P = 0.003). Further analysis found the percentage bleeding on probing to be the only significant IDRA vector. Within the limitations of this study, the IDRA tool is considered potentially useful for identifying patients at risk of developing peri-implantitis. It may serve as one component of a comprehensive peri-implant assessment, pending further enhancement of its predictive precision. Moreover, this tool can be considered before implant placement and during the periodontal maintenance phase. TRIAL REGISTRATION: ClinicalTrials.gov: NCT04888572.
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http://dx.doi.org/10.1016/j.ijom.2024.05.002 | DOI Listing |
Clin Oral Implants Res
December 2024
Department of Periodontology, College of Dentistry, University of Florida, Gainesville, Florida, USA.
Objective: This university-based retrospective study aimed to assess the performance of the implant disease risk assessment (IDRA) in predicting peri-implantitis.
Material And Methods: Patients with implants loaded for at least 1 year were included. Peri-implantitis development was the outcome, while the IDRA score and its eight vectors were the predictors.
Bioinform Adv
October 2024
Computational Genomics Lab, Department of Genetics, Microbiology and Statistics, Universitat de Barcelona (UB), Institut de Biomedicina UB (IBUB), Barcelona, Catalonia 08028, Spain.
Clin Implant Dent Relat Res
October 2024
Department of Dentistry, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Introduction: The implant disease risk assessment (IDRA) tool was designed to assess an individual's risk of developing peri-implant diseases by evaluating and integrating multiple risk factors. This study aimed to evaluate the IDRA tool to determine the risk of developing peri-implant disease in patients rehabilitated with dental implants.
Methods: A retrospective observational cross-sectional study was conducted, collecting data from 92 patients with 92 selected dental implants.
Cont Lens Anterior Eye
December 2024
Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Hong Kong; Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Hong Kong; Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic University, Hong Kong. Electronic address:
Purpose: To evaluate the repeatability and agreement in dry eye measurements using Oculus Keratograph 5M (K5M) and SBM Sistemi IDRA (IDRA).
Methods: A total of 108 participants were enrolled and 108 eyes were evaluated. Tear meniscus height (TMH) and first and average non-invasive break-up time (NIBUT) were measured using the K5M and IDRA (order randomly assigned).
Heliyon
June 2024
Laboratory of Viruses Contaminants of Water and Food, Departament de Genètica. Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Catalonia, Spain.
The COVID-19 pandemic has underscored the importance of understanding the role of animals in the transmission of coronaviruses (CoVs) and their impact on human health. A One Health approach, integrating human, animal, and environmental health, is essential for effective CoVs control. Next-generation sequencing has played a pivotal role in identifying and monitoring the evolution of novel CoVs strains, like SARS-CoV-2.
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