Influence of titanium implant macrodesign on peri-implantitis occurrence: a cross-sectional study

Clinical Oral Investigations(2022)

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摘要
Objectives To assess whether implant macrodesign parameters interacting with implant time in function (Tf) could influence the peri-implantitis occurrence. Materials and methods One hundred and two patients (55.17 ± 11.2 years old) with diagnosed early/moderate peri-implantitis around endosseous implants with implant-supported prosthetics reconstruction ( n = 139) were recruited. Implant macrodesign (implant shape, thread number, implant collar), clinical parameters (peri-implant probing depth (PPD), clinical attachment level (CAL), keratinised tissue width (KTW), plaque index, bleeding on probe), implant placement localisation and region, and Tf were assessed and compared. Results Peri-implantitis occurred approximately 6.1 ± 3.38 years after implant loading. There was a significant positive correlation between the implant macrodesign and Tf. Peri-implantitis rates were statistically significantly higher in implants with a cylindric shape and triple-thread in the posterior part of the mandible ( p = 0.037 and 0.012, respectively). The thread number and implant shape interacting with Tf showed statistically significant influences on CAL and PPD increase ( p < 0.05). Results indicated a statistically positive interaction between Tf and KTW decrease around the implants with microthreaded collar ( p < 0.001). Conclusion Peri-implantitis might be presented as a time-dependent disease. Implant-based factors, such as Tf and implant macrodesign, could influence peri-implantitis occurrence, exacerbate clinical parameters, and promote progressive bone loss. Clinical relevance Peri-implantitis can be affected by implant macrodesign and Tf. The implant body shape, thread number, and design of the implant collar may be considered peri-implantitis-related risk indicators that should be taken into account in proper implant planning and therapy.
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关键词
Peri-implantitis, Macrodesign, Implant, Risk factor, Diagnosis
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