A nomogram prediction of peri‐implantitis in treated severe periodontitis patients: A 1–5‐year prospective cohort study

Abstract

Background No nomogram of peri‐implantitis was reported before which is valuable for risk‐estimating, clinical decision‐making, and better‐patients‐communicating. Purpose To identify the risk indicators and develop a nomogram prediction model of peri‐implantitis in treated severe periodontitis patients. Materials and Methods A prospective study was conducted on 100 patients with 214 implants. Periodontal and peri‐implant parameters were evaluated at implant surgery procedure (T1), and at follow‐up (T2). Risk factors were analyzed by logistic regression analyses with generalized estimating equations. Nomogram was developed and the discriminatory ability of the model was analyzed. Results The incidence of peri‐implantitis at patient‐level and implant level were 16% and 11.2% respectively, with no implant lost. The variables associated with peri‐implantitis were the PDT1 ≥ 6 mm (%) > 10%, the implant position, length, and diameter after adjusting for covariates. A nomogram prediction model of peri‐implantitis were developed with factors of PD T1 ≥ 6 mm (%) > 10% and implant placed in posterior. The area under the ROC curves of stepwise model was 0.794. Conclusions The residual pockets and implants position were identified as predictors for the peri‐implantitis. The nomogram can be used to estimate the risk of peri‐implantitis in treated severe periodontitis patients.

Breaking the wave of peri‐implantitis

“…57 Hence, the presence of residual probing depths of 5 mm or deeper appeared to indicate a significant risk for development of peri-implantitis, 36,58 especially when it involved more than 10% of all sites. 8 These observations are not surprising in periodontally susceptible patients who might have more pathogenic bacteria, higher bacterial load, or a host response unable to cope with bacterial insults. 59 In addition, periodontitis might have resulted in a residual ridge that was compromised in terms of bone quality and quantity, 8 predisposing the site to peri-implantitis.…”

“…8 These observations are not surprising in periodontally susceptible patients who might have more pathogenic bacteria, higher bacterial load, or a host response unable to cope with bacterial insults. 59 In addition, periodontitis might have resulted in a residual ridge that was compromised in terms of bone quality and quantity, 8 predisposing the site to peri-implantitis.…”

“…A recent meta‐analysis estimated that the weighted mean prevalence of peri‐implant mucositis and peri‐implantitis to be 43% and 22% across Europe and South and North America, respectively . A prospective study revealed that peri‐implantitis at patient and implant levels was slightly reduced in China, at 19% and 11.2%, respectively . Also, the prevalence of peri‐implantitis was found to increase as a function of time .…”

“…It was found that periodontopathogens such as Aggregatibacter actinomycetemcomitans , Prevotella intermedia , P. gingivalis , T. denticola , and F. nucleatum might be transmitted from natural teeth to the adjacent implants . Hence, the presence of residual probing depths of 5 mm or deeper appeared to indicate a significant risk for development of peri‐implantitis, especially when it involved more than 10% of all sites . These observations are not surprising in periodontally susceptible patients who might have more pathogenic bacteria, higher bacterial load, or a host response unable to cope with bacterial insults .…”

Nomogram to predict prolonged postoperative ileus after gastrectomy in gastric cancer

“…Therefore, to identify the risk indicators for PPOI and determine optimal management strategies, a risk prediction model is urgently required. Of all the available models, a nomogram can provide a highly accurate, individualized evidence-based risk estimation[14,15]. Nomograms predicting survival of patients with unresectable or metastatic GC were well established[16].…”