• Zhang Kai, Ooi Der Jiun, Lim Zhi Yin Joan
  • Department of Preclinical Sciences, Mahsa University, Malaysia.
  • Email: zk362449451@gmail.com.
  • Department of Preclinical Sciences, Mahsa University, Malaysia.
  • Email: djooi@mahsa.edu.my.
  • Department of Restorative Dentistry, Faculty of Dentistry, Mahsa University, Malaysia.
  • Email: limzhi@mahsa.edu.my.

ABSTRACT

Aim: The present study aimed to identify the predictors of peri-implantitis in patients who had undergone dental implant surgery and to create a model that could predict the disease. Methods: The study design employed was a retrospective cohort comprising 345 patients, of which 259 were from the modeling group and 86 from the validation group. Single-variable analysis classified smoking history, history of diabetes, history of periodontal disease, and irregular periodontal treatment as independent risk factors. Binary logistic regression supported these factors, as the odds ratios showed an increased risk of peri-implantitis. Results: It has been established that there are benefits from regular periodontal treatment. The accuracy of this lock-and-key model was further confirmed by an AUC of 0.733, specificities of 82.36%, and sensitivities of 79.63%. Conclusion: The present study is consistent with the prior literature and emphasizes the importance of attentive patient care approaches involving smoking cessation, careful monitoring of patients’ glucose levels, and timely visits to the dentist. Implications: This model will benefit clinicians as it can evaluate and control the potential development of peri-implantitis within patients, consequently leading to better patient results and implant durability.

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