Association between periodontitis treatment outcomes and peri‐implantitis: A long‐term retrospective cohort study

Vagia, Panagiota; Papalou, Ioanna; Burgy, Alexandre; Tenenbaum, Henri; Huck, Olivier; Davideau, Jean‐Luc

doi:10.1111/clr.13741

Cited by 16 publications

(17 citation statements)

References 46 publications

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“…In the study of Dalago et al [21], a history of periodontitis appeared to be a risk indicator of peri-implantitis only after multivariable analysis was conducted with an OR � 2.2. ese different observed associations may reflect the variability of clinical parameter interactions in the studied populations, as well as the use of different peri-implant disease definitions [47]. In the present study, peri-implant soft-tissue diseased sites defined as PiPD > 4 mm + BOPi remained independently associated to some demographic, periodontal, implant, and prosthesis parameters, suggesting that these parameters could influence periimplantitis triggering, as shown previously for other periodontal parameters in a similar cohort [28]. e absence of data on peri-implant tissue conditions after healing may be a limitation in interpreting a cause-andeffect relationship between the patient/site parameters.…”

Section: Discussionsupporting

confidence: 72%

“…Dentate adults who had undergone periodontal and implant treatment from 1999 to 2017 at the Department of Periodontology of the Dental Faculty of Strasbourg were identified from the clinic's database as previously described [28]. Initial periodontal diagnosis, i.e., gingivitis/mild periodontitis, moderate periodontitis, and severe periodontitis based on criteria defined by the 1999 International Workshop for a Classification of Periodontal Diseases and Conditions [29], was established from patient file data.…”

Section: Study Populationmentioning

confidence: 99%

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Influence of Periodontitis, Implant, and Prosthesis Characteristics on the Peri-Implant Status: A Cross-Sectional Study

Papalou

Vagia

Çakır

et al. 2022

International Journal of Dentistry

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Background. The association between peri-implant diseases and the periodontal, implant, and prosthesis characteristics has been characterized in various ways. Purpose. The aim of this study was to evaluate the link between the peri-implant and periodontal status and the influence of implant and prosthesis parameters during implant follow-up. Materials and Methods. One hundred and seven patients with a total of 310 implants that had at least one year of function who were attending periodontal and implant maintenance at a university clinic setting were included in this cross-sectional study. The demographic, periodontal, peri-implant tissue, implant, and prosthesis parameters were recorded. A pocket depth > 4 mm with bleeding on probing defined periodontal/peri-implant soft tissue diseased sites. Analyses were performed at the patient and implant levels using univariable and multivariable mixed regression analysis. Results. The mean implant follow-up was 7.22 years. At the patient level, the bleeding on probing and pocket depth measurements were more pronounced around the implant than around the teeth. The opposite was observed for plaque and the clinical attachment levels. At the implant level, multivariable analysis showed that the periodontal and corresponding peri-implant tissue parameters, such as diseased sites, were closely related. The implant location, bone level, and number were selectively associated with the implant bone level, while cemented retention and emergence restoration profile influenced the implant pocket depth. Conclusions. The present study suggested that clinical peri-implant and periodontal soft tissue statuses were different, which could be a consequence of the initial implant and prosthesis healing process. However, during implant follow-up, the peri-implant parameters were predominantly associated with their corresponding periodontal parameters regardless of an association with the implant and prosthesis characteristics. This trial is registered with ClinicalTrials.gov ID: NCT03841656.

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Section: Discussionsupporting

confidence: 72%

Section: Study Populationmentioning

confidence: 99%

Influence of Periodontitis, Implant, and Prosthesis Characteristics on the Peri-Implant Status: A Cross-Sectional Study

Papalou

Vagia

Çakır

et al. 2022

International Journal of Dentistry

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“…As expected, a nearly significant ( p = 0.069) increase in the TL/Y rate was observed in high-risk PRA patients compared to low/moderate-risk PRA patients (0.15 versus 0.6). The fact that a periodontal risk assessment score had such a high prognosis value could be related to the impact of periodontal status on peri-implantitis incidence previously observed in a similar cohort [ 6 ]. Many studies investigating and comparing periodontal, implant, and prosthesis risk factors of peri-implantitis showed that the impact of periodontal status was one the most important factors [ 11 , 38 , 42 , 43 ].…”

Section: Discussionmentioning

confidence: 82%

“…The prevention of peri-implantitis is considered as a growing issue regarding peri-implantitis occurrence, with functional and aesthetic consequences [ 1 , 2 , 3 ]. Peri-implantitis occurrence and severity are influenced by risk-factor distributions [ 1 , 4 , 5 , 6 ]. These risk factors include not only implant and prosthesis characteristics but also systemic and behavioral factors as well as those related to the periodontal environment [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

“…A previous retrospective cohort study demonstrated that periodontal parameters evaluated at different time points of periodontal and implant follow-up differentially influence peri-implantitis incidence [ 6 ]. These data suggest that simplified and optimized prognosis tools could be helpful for maintaining and improving peri-implant tissue health.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of Two Risk Assessment Scores in Predicting Peri-Implantitis Occurrence during Implant Maintenance in Patients Treated for Periodontal Diseases: A Long-Term Retrospective Study

Sarbacher

Papalou

Vagia

et al. 2022

JCM

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Background: There is a need for reliable risk assessment tools to better predict peri-implantitis occurrence. This study compared the long-term prognosis value of two models of risk assessment scoring in predicting peri-implantitis. Methods: Seventy-three patients with treated periodontitis representing 232 implants and attending long-term implant maintenance were evaluated. The Periodontal Risk Assessment (PRA) score, which combines only periodontal risk factors/indicators, and the Implant Risk Assessment (IRA) score, which combines both periodontal and implant risk factors/indicators, were calculated during implant maintenance. Peri-implantitis was defined by the presence of probing depth ≥6 mm with bleeding on probing/suppuration and bone level ≥3 mm. Analyses were performed at the patient level. Results: The mean implant follow-up was 6.5 years. Peri-implantitis incidence was 17.8%, and high-risk PRA and IRA percentages were 36.9% and 27.3%, respectively. High-risk PRA and IRA were significantly associated with peri-implantitis incidence, with hazard ratio (HR) = 4.8 and 3.65, respectively. Risk factors/indicators considered separately showed reduced associations with peri-implantitis. Conclusions: The PRA score combining periodontal parameters and IRA score combining both periodontal and implant parameters have comparable value in predicting peri-implantitis. These scores could allow practicians to intercept the risk of peri-implantitis and to manage follow-up modalities in patients with treated periodontitis.

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Identification of immunological bioprocesses involved in peri‐implantitis using weighted gene co‐expression network analysis

Chen

Jin

Lü

et al. 2023

Journal of Periodontology

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BackgroundPeri‐implantitis is an irreversible infectious disease that occurs with high incidence. Exploring the immune responses of peri‐implantitis is key to developing targeted treatment strategies. However, there is limited research on the immune response of peri‐implantitis.MethodsThis study performed a weighted gene co‐expression network analysis to identify the peri‐implantitis related gene network and conducted a functional enrichment analysis of the gene network. Thereafter, the candidate hub genes were selected by constructing a protein‐protein interaction network and drawing an upset plot. The hub genes were identified through their significant associations with disease condition and validated using quantitative reverse transcription‐polymerase chain reaction (qRT‐PCR) analysis. Using the gene set variation analysis, the hub genes were further used to explore infiltrating immunocytes and immune factors in peri‐implantitis. Finally, the immunocytes and immune factor related hub genes were intersected to obtain the therapeutic target, which was validated using histological staining.ResultsThe peri‐implantitis related gene network was enriched in innate and adaptive immune response. Subsequently, interleukin (IL)1B, IL10, ITGAM, ITGB1, STAT3, and TLR4 were identified as hub genes. Plasmacytoid dendritic cells, macrophages, myeloid‐derived suppressor cells, natural killer T cells, and immature B cells were positively and significantly related to the hub genes IL1B, TLR4, ITGAM, and ITGB1 (correlation coefficient > 0.80). While immune factors CXCL10, IL6, and CXCL12 and hub genes IL10 and IL1B held the highest degree in the immune factors network. IL1B may be a promising therapeutic target.ConclusionThis study provides new insights into the hub genes, immunocytes, and immune factors underlying peri‐implantitis immunological bioprocess.

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Association between periodontitis treatment outcomes and peri‐implantitis: A long‐term retrospective cohort study

Cited by 16 publications

References 46 publications

Influence of Periodontitis, Implant, and Prosthesis Characteristics on the Peri-Implant Status: A Cross-Sectional Study

Influence of Periodontitis, Implant, and Prosthesis Characteristics on the Peri-Implant Status: A Cross-Sectional Study

Comparison of Two Risk Assessment Scores in Predicting Peri-Implantitis Occurrence during Implant Maintenance in Patients Treated for Periodontal Diseases: A Long-Term Retrospective Study

Identification of immunological bioprocesses involved in peri‐implantitis using weighted gene co‐expression network analysis

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