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A nomogram prediction of peri‐implantitis in treated severe periodontitis patients: A 1–5‐year prospective cohort study
Author(s) -
Zhang Haidong,
Li Wenjing,
Zhang Li,
Yan Xia,
Shi Dong,
Meng Huanxin
Publication year - 2018
Publication title -
clinical implant dentistry and related research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.338
H-Index - 85
eISSN - 1708-8208
pISSN - 1523-0899
DOI - 10.1111/cid.12686
Subject(s) - nomogram , medicine , peri implantitis , periodontitis , logistic regression , implant , dentistry , prospective cohort study , stepwise regression , incidence (geometry) , surgery , physics , optics
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 PD T1 ≥ 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.