J Periodontal Implant Sci.  2022 Dec;52(6):509-521. 10.5051/jpis.2203620181v.

Evaluation of health screening data for factors associated with peri-implant bone loss

Affiliations
  • 1Graduate School of Clinical Dental Science, The Catholic University of Korea, Seoul, Korea
  • 2 Departement of Dentistry, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea

Abstract

Purpose
Systemic health has a profound effect on dental treatment. The aim of this study was to evaluate peri-implant bone loss and health screening data to discover factors that may influence peri-implant diseases.
Methods
This study analyzed the panoramic X-rays of patients undergoing health screenings at the Health Promotion Center at Seoul St. Mary’s Hospital in 2018, to investigate the relationship between laboratory test results and dental data. The patients’ physical data, such as height, weight, blood pressure, hematological and urine analysis data, smoking habits, number of remaining teeth, alveolar bone level, number of implants, and degree of bone loss around the implant, were analyzed for correlations. Their associations with glycated hemoglobin, glucose, blood urea nitrogen (BUN), creatinine, and severity of periodontitis were evaluated using univariate and multivariate regression analysis.
Results
In total, 2,264 patients opted in for dental health examinations, of whom 752 (33.2%) had undergone dental implant treatment. These 752 patients had a total of 2,658 implants, and 129 (17.1%) had 1 or more implants with peri-implant bone loss of 2 mm or more. The number of these implants was 204 (7%). Body mass index and smoking were not correlated with peri-implant bone loss. Stepwise multivariate regression analysis revealed that the severity of periodontal bone loss (moderate bone loss: odds ratio [OR], 3.154; 95% confidence interval [CI], 1.175–8.475 and severe bone loss: OR, 7.751; 95% CI, 3.003–20) and BUN (OR, 1.082; 95% CI, 1.027–1.141) showed statistically significant predictive value. The severity of periodontitis showed greater predictive value than the biochemical parameters of blood glucose, renal function, and liver function.
Conclusions
The results of this study showed that periodontal bone loss was a predictor of peri-implant bone loss, suggesting that periodontal disease should be controlled before dental treatment. Diligent maintenance care is recommended for patients with moderate to severe periodontal bone loss.

Keyword

Blood urea nitrogen; Creatinine; Diabetes mellitus; Peri-implantitis; Periodontitis
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