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

Assessment of the association between the Implant Disease Risk Assessment (IDRA) tool and peri-implantitis: a retrospective cohort study with up to 8 years of follow-up

The aim of this study was to evaluate the accuracy of the Implant Disease Risk Assessment (IDRA) tool in predicting the occurrence of peri-implantitis in patients who have received at least one implant, with a follow-up of up to 8 years. The records of patients who received one or more implants in the periodontology or oral surgery department of Saint Joseph University of Beirut between 2014 and 2018 were collected. Parameters related to the IDRA tool were obtained and the risk level calculated. Patients were recalled to assess their peri-implant status. The association between the IDRA risk level and the incidence of peri-implantitis was estimated. Overall, 145 patients were included in the study. A statistically significant association was found between the IDRA risk levels and the incidence of peri-implantitis (P = 0.003). High risk patients had 5.2 times higher odds of developing peri-implantitis than low-to-moderate risk patients (P < 0.001). Receiver operating characteristic curve analysis demonstrated a 69% probability that IDRA can identify patients at risk of developing peri-implantitis (P = 0.003). Further analysis found the percentage bleeding on probing to be the only significant IDRA vector. Within the limitations of this study, the IDRA tool is considered potentially useful for identifying patients at risk of developing peri-implantitis. It may serve as one component of a comprehensive peri-implant assessment, pending further enhancement of its predictive precision. Moreover, this tool can be considered before implant placement and during the periodontal maintenance phase. TRIAL REGISTRATION: ClinicalTrials.gov: NCT04888572.

A nomogram-based predictive model for tooth survival in Chinese patients with periodontitis: An 11-year retrospective cohort study

AIM

To develop a nomogram-based predictive model of tooth survival by comprehensively analysing clinical and radiographic risk factors of tooth loss (TL).

MATERIALS AND METHODS

In this study, 3447 teeth of 131 subjects who underwent non-surgical periodontal treatment were examined retrospectively within a mean follow-up period of 11.6 years. The association of risk factors including clinical and radiographic parameters with TL was assessed using univariate and multivariate Cox regression analyses. A nomogram-based predictive model was developed, and its validation and discriminatory ability were analysed.

RESULTS

In all, 313 teeth were lost in 94 patients in this study (overall tooth loss [OTL] 9.08%; 0.21 teeth/patient/year). Male, heavy smoking, molar teeth, probing depth (PD), attachment loss (AL), tooth mobility and radiographic bone loss were significantly associated with TL (p < .05). A gradient effect of tooth mobility on TL increased from degree I to III versus none (p < .0001). The area under the curve (AUC) of the model was 0.865. Calibration curve and decision curve analysis demonstrated good performance and high net benefit, respectively.

CONCLUSIONS

Adopting a specific nomogram could facilitate the prediction of tooth survival and the development of tailored treatment plans in Chinese patients with advanced periodontitis.

Prediction of postoperative dysphagia in patients with oral cancer: A prospective cohort study

OBJECTIVES

This study aims to identify autonomous risk factors for postoperative dysphagia in oral cancer patients and construct a nomogram prediction model to improve risk assessment accuracy and feasibility in clinical settings.

METHODS

A prospective cohort study was conducted from March to July 2022 among oral cancer patients undergoing surgical interventions at the Department of Head and Neck Surgery. Clinical data were collected using the Postoperative Dysphagia Risk Factor Questionnaire. Swallowing function was assessed with the Mann Assessment of Swallowing Ability-Oral Cancer (MASA-OC). Lasso regression identified potential predictor variables, followed by univariate and multivariate logistic regression analyses. A predictive model was developed using R Studio 4.1.2 and rigorously evaluated with ROC curves, Hosmer-Lemeshow tests, and calibration curves. Internal validation utilized Bootstrap methodology with 1000 repetitive samples.

RESULTS

The cohort included 257 oral cancer patients, with 73.9 % experiencing postoperative dysphagia. Independent predictors included functional status, depressive symptoms, pT stage, surgical techniques, glossoplasty, maxillectomy, and post-surgery nasopharyngeal tube retention. The predictive model achieved an AUC of 0.933, sensitivity of 90.9 %, and specificity of 81.7 %. Hosmer-Lemeshow test (P = 0.715) and C-index (0.934) indicated satisfactory model fit. Internal validation yielded an AUC of 0.912, sensitivity of 93.3 %, and specificity of 63.8 %. Calibration curves demonstrated alignment between predicted and observed outcomes.

CONCLUSION

A nomogram integrating recognized risk factors shows promise in predicting postoperative dysphagia in oral cancer patients, enhancing precision and aiding healthcare professionals in risk evaluation and patient care strategies.

Radiographic evaluation of the distance between the restoration margin and the alveolar bone crest in dental implant patients: A retrospective study

OBJECTIVES

The recently introduced Implant Disease Risk Assessment (IDRA) identifies a restoration margin-alveolar bone crest (RM-AC) distance of less than 1.5 mm as a key risk factor for peri‑implant disease among eight major risk factors. This study evaluated the impact of the RM-AC distance on marginal bone loss (MBL) through radiographic analysis.

METHODS

This retrospective cross-sectional study included 77 partially edentulous patients (39 females and 38 males, aged 22 to 76 years) with 202 platform-switched conical connection implants, cement-retained, implant-supported fixed restorations, and bone-level implants placed between 2016 and 2021. Dental implants were followed for least 6 to 36 months at follow up functional loading. Study participants were categorized into Group A (RM-AC distance ≤ 1.5 mm, n = 69) and Group B (RM-AC distance > 1.5 mm, n = 133). Twelve patients in Group B and five patients in Group A had no history of periodontal disease. The MBL was measured radiographically from the most coronal point of the implant shoulder to the alveolar bone, and the RM-AC distance was measured from the restoration margin to the alveolar crest. Multinomial logistic regression analysis was used for statistical evaluation.

RESULTS

The incidence of MBL in Group A was statistically significant and 3.42 times higher than that in Group B. The rate of MBL in periodontitis Stage 4 was found to be 26.31 times higher than that in periodontitis Stage 2. The incidence of MBL was 6.097 and 5.02 times higher with increasing implant diameter and length, respectively.

CONCLUSION

This study conclusively demonstrates that RM-AC distance ≤ 1.5 significantly increases the risk of MBL, particularly in patients with a history of periodontal disease.

CLINICAL SIGNIFICANCE

This study highlights the critical role of maintaining an RM-AC distance greater than 1.5 mm in the prevention of MBL, particularly in patients with a history of periodontal disease. Since implant diameter and length have a significant impact on the risk of MBL, it emphasizes that implant demographics should also be carefully evaluated.

Investigation of peri-implant diseases prevalence and related risk indicators in patients with treated severe periodontitis over 4 years after restoration

Background/purpose

History of periodontitis is a well-documented risk indicator of peri-implantitis. However, the influence of severity of periodontitis is still unclear, especially for severe periodontitis. This study was aimed to investigate the prevalence of peri-implant disease and analyze the risk indicators in patients with treated severe periodontitis.

Materials and methods

A total of 182 implants from 88 patients (44 males and 44 females) with severe periodontitis with a mean fellow-up period of 76.5 months were enrolled in this study. Patient and implant information, and periodontal and peri-implant conditions were collected to evaluate the prevalence of peri-implant disease and risk indicators.

Results

The prevalence of peri-implantitis was 9.1% and 6.6% at the patient-level and implant-level. The prevalence of peri-implant mucositis was 76.1% and 51.1% at the patient-level and implant-level. Risk indicators of peri-implantitis included older age (OR: 1.132), poor proximal cleaning habits (OR: 14.218), implants in anterior area (OR: 10.36), poor periodontal disease control (OR: 12.76), high peri-implant plaque index (OR: 4.27), and keratinized tissue width (KTW)＜2 mm (OR: 19.203).

Conclusion

Implants in patients with severe periodontitis after periodontal treatment and maintenance show a low prevalence (9.1%) of peri-implantitis and a relatively high prevalence (76.2%) of peri-implant mucositis. Patient age, peri-implant proximal cleaning habits, implant position, periodontal disease control, peri-implant plaque index, and KTW are associated with prevalence of peri-implantitis.

A nomogram prediction of implant apical non-coverage on bone-added transcrestal sinus floor elevation: A retrospective cohort study

OBJECTIVES

To identify the risk indicators and develop and validate a nomogram prediction model of implant apical non-coverage by comprehensively analyzing clinical and radiographic factors in bone-added transcrestal sinus floor elevation (TSFE).

MATERIAL AND METHODS

A total of 260 implants in 195 patients receiving bone-added TSFE were included in the study. The population was divided into a development (180 implants) and a validation (80 implants) cohort. According to 6 months post-surgery radiographic images, implants were categorized as "apical non-coverage" or "apical covered." The association of risk factors including clinical and radiographic parameters with implant apical non-coverage was assessed using regression analyses. A nomogram prediction model was developed, and its validation and discriminatory ability were analyzed.

RESULTS

The nomogram predicting bone-added TSFE's simultaneously placed implant's apex non-coverage after 6 months. This study revealed that sinus angle, endo-sinus bone gain, implant protrusion length, graft contact walls, and distal angle were predictors of implant apical non-coverage. The generated nomogram showed a strong predictive capability (area under the curve [AUC] = 0.845), confirmed by internal validation using 10-fold cross-validation (Median AUC of 0.870) and temporal validation (AUC = 0.854). The calibration curve and decision curve analysis demonstrated good performance and high net benefit of the nomogram, respectively.

CONCLUSIONS

The clinical implementation of the present nomogram is suitable for predicting the apex non-coverage of implants placed simultaneously with bone-added TSFE after 6 months.

Adjunctive benefit of probiotic supplementation along with nonsurgical therapy for peri-implant diseases - A systematic review and meta-analysis

Peri-implant diseases are prevalent conditions, but a predictable management strategy is still lacking. The objective of the present article was to evaluate the adjunctive benefits of probiotics with nonsurgical therapy in the management of peri-implant diseases. The review protocol was registered in PROSPERO and prepared according to PRISMA guidelines. Randomized controlled clinical trials in patients diagnosed with the peri-implant disease where probiotic was used as an adjunct to nonsurgical therapy were included in the study. The risk difference of percentage reduction in bleeding on probing, plaque accumulation, and mean difference in probing pocket depth reductions at implant level were estimated using a random effect model due to high heterogeneity among studies. Four studies fulfilled the criteria for selection. Two of them presented data on both peri-implantitis and peri-implant mucositis and they were considered separate studies during meta-analysis. Significant reduction in percentage of bleeding on probing was noticed at 1 and 3 months (-0.28 [-0.48, -0.09], P = 0.004 and - 0.19 [-0.35, -0.02], P = 0.03, respectively), but the reduction was not statistically significant at 6 months. Similar results were also observed for plaque accumulation. No statistically significant reduction in probing pocket depth was observed in the probiotic group during any of the re-evaluations.

Conclusion

Adjunctive therapy of probiotics may improve the efficacy of nonsurgical therapy of peri-implant diseases for up to 3 months. However, moderate certainty was observed for a reduction in bleeding on probing after 1-month re-evaluation alone.

The influence of smoking on the incidence of peri-implantitis: A systematic review and meta-analysis

OBJECTIVE

The aim of this study was to systematically analyze the influence of smoking on the incidence of peri-implantitis.

MATERIALS AND METHODS

The search was performed in the National Library of Medicine (MEDLINE-PubMed), SCOPUS, EMBASE, and ISI Web of Science databases (finished on November 30, 2022). Systematic review and meta-analysis were conducted according to PRISMA statement. Prospective cohort studies that evaluate the incidence of peri-implantitis in smokers and non-smokers were included. Two authors independently searched for eligible studies, screened titles, and abstracts, did the full-text analysis, extracted data, and performed the risk-of-bias assessment. The results were summarized through random-effects meta-analyses. The GRADE method was used to determine the certainty of evidence.

RESULTS

A total of 7 studies with 702 patients and 1959 implants were included for analysis. The meta-analysis revealed a significant difference between smokers and non-smokers for the risk of peri-implantitis in the implant-based (p < .0001) and patient-based analysis (p = .003). A strong association between smoking and the risk for peri-implantitis was verified at the implant level (RR: 2.04, 95% CI: 1.46-1.85) and the patient level (RR: 2.79, 95% CI: 1.42-5.50).

CONCLUSIONS

Moderate certainty evidence suggests that smoking is associated with peri-implantitis compared to non-smoking at the patient and implant levels.

Efficacy of surgical methods for peri-implantitis: a systematic review and network meta-analysis

BACKGROUND

Peri-implantitis is the most difficult biological complication associated with dental implants, often requiring surgical treatments in advanced stages. This study compares the effectiveness of different surgical methods for peri-implantitis.

METHODS

Randomized controlled trials (RCTs) of different surgical treatments for peri-implantitis were extracted from EMBASE, Web of Science, Cochrane Library databases, and PubMed systematically. Pairwise comparisons and network meta-analyses (NMA) were conducted to analyze the effect of surgical treatments on probing depth (PD), radiographic bone fill (RBF), mucosal recession (MR), bleeding on probing (BOP), and clinical attachment level (CAL). In addition, risk of bias, quality of evidence, and statistical heterogeneity of the selected studies were evaluated. A total of 13 articles were included in this study, involving open flap debridement (OFD), resective therapy (RT), and augmentative therapy (AT) with and without adjunctive treatments (laser therapy, photodynamic therapy, local antibiotics, phosphoric acid, and ozone therapy).

RESULTS

AT improved RBF and CAL more than OFD, but does not outperform OFD in reducing peri-implant soft-tissue inflammation. AT, OFD and RT did not significantly alter the levels of MR. Addition of ozone therapy improved the effect of AT, but addition of photodynamic therapy did not affect PD reduction and CAL gain significantly. Similarly, adjuvant treatment with phosphoric acid during RT did not significantly change the outcome of BOP.

CONCLUSIONS

Within the limitation of this systematic review and NMA, AT was superior to OFD in improving peri-implantitis outcomes. While adjunct use of ozone therapy may further improve the efficacy of AT, the limited evidence supporting this combination therapy argues for cautionary interpretation of these results.

Risk indicators of long-term outcome of implant therapy in patients with a history of severe periodontitis or no history of periodontitis: A retrospective cohort study

OBJECTIVE

The aim of this retrospective cohort study was to assess factors associated with peri-implant disease in partially edentulous patients with a history of severe periodontitis or no history of periodontitis.

METHODS

Partially edentulous patients with a history of severe periodontitis/without history of periodontitis who received implant surgery within the past 6 to 8 years were recalled. Clinical and radiographic examinations were recorded. Periodontal probing depth, marginal bone loss (MBL) and peri-implantitis were considered as the primary outcome and peri-implant bleeding on probing (BOP) was considered as the secondary outcome. The following criteria were considered as the predictors, as well: history of severe periodontitis, gender, age, smoking, brushing frequency, recall interval, full-mouth plaque score, full-mouth bleeding score, splinted prosthesis, open/tight interproximal contact, width of keratinized mucosa, mucosal thickness, implants placed in the grafted bone and implant type. Univariate and multivariate regression analyses were utilized.

RESULTS

A total of 88 patients (186 implants) fulfilled the study. Forty-seven patients (108 implants) had a history of severe periodontitis and 41 patients (78 implants) had no history of periodontitis. There was a higher chance of peri-implantitis in patients with a history of severe periodontitis (OR = 11.13; p = 0.045), implants with lack of peri-implant KM (<2 mm) and implants placed in the grafted bone (OR = 14.94, p < 0.001; OR = 4.93, p = 0.047). The risk of peri-implant MBL ≥3 mm was higher in patients with greater FMBS (OR = 1.20; p < 0.001). The chance of peri-implant BOP was independently higher in patients who brushed their teeth at most once per day (OR = 3.20; p = 0.04), higher FMBS (OR = 1.16; p < 0.001) and irregular recall visits (OR = 15.34; p = 0.001).

CONCLUSIONS

Partially edentulous patients with the history of severe periodontitis, lack of peri-implant KM and implants placed in bone-grafted sites expressed higher probability of peri-implantitis. In addition, inadequate frequency of brushing (at most once daily) and irregular recall visits were associated with greater chance of peri-implant BOP.

Who to Be Treated: Nomogram Using Self-Reported Periodontal Screening Instrument among English-Speaking Adults in Multi-Ethnic Singapore

Periodontal disease is a major public health problem. This study aimed to develop a nomogram using a self-reported periodontitis screening instrument in predicting severe periodontitis (SP), defined by the World Workshop on Classification of Periodontal and Peri-Implant Diseases and Conditions, and evaluate its utility in clinical setting. An Akaike information criterion selected multivariable model was developed to predict SP using a self-reported questionnaire, with a nomogram developed based on its regression coefficients. Discriminatory capability was evaluated by Receiver-operating characteristic curve. Ability to predict SP of individual patients was evaluated with bootstrapping. Decision curve analysis (DCA) was performed to evaluate its potential clinical utility by evaluating clinical net benefit at different thresholds. 58.1% of 155 participants were classified with SP. Older males without tertiary education, with ‘loose teeth’, ‘bone loss’ and ‘mouth rinse use’ had higher SP risk. The nomogram showed excellent discriminatory capability with Area under Curve of 0.83 (95% CI = (0.76, 0.89)), good calibration (intercept = 0.026) and slight overestimation of high risk and underestimation of low risk (slope = 0.834). DCA showed consistent clinical net benefit across the range of thresholds relative to assumption of ‘no patient’ or ‘all patient’ with SP. Our nomogram using a self-reported periodontitis instrument is useful in SP screening in English-speaking Singaporean adults.

Short and ultra-short (<6-mm) locking-taper implants supporting single crowns in posterior areas (part II): A 5-year retrospective study on periodontally healthy patients and patients with a history of periodontitis

Background

Short and ultra‐short implants implants supporting single crowns seem to demonstrate high percentages of survival and stable marginal bone levels at a mid‐term follow‐up. Nevertheless, insurgence of peri‐implant complications still represents a critical issue, especially for patients with history of periodontitis.

Purpose

The aim of this retrospective study was to evaluate implant survival, marginal bone loss and peri‐implant complications in 333 short and ultra‐short implants, placed in periodontally healthy patients and patients with a history of periodontitis.

Materials and Methods

Implants were placed in the maxillary and mandibular posterior regions of 142 patients with (PP) and without (NPP) a history of periodontitis. Clinical and radiographic examinations were performed at 5‐year recall appointments.

Results

Implants respectively placed in PP and NPP were: 35.68% and 42.50% in 8.0 mm‐length group, 33.33% and 36.67% in 6.0 mm‐length group, and 30.99% and 20.83% in 5.0 mm‐length group. Implant‐based survival after 5 years of follow‐up was 95.77% for PP and 96.67% for NPP (p = 0.77). Regarding crestal bone level variations, average crestal bone loss was statistically different (p = 0.04) among PP (0.74 mm) and NPP (0.61 mm). Implants presenting signs of mucositis were 6.86% in PP and 7.76% in NPP (p = 0.76). Setting the threshold for excessive bone loss at 1 mm after 60 months, peri‐implantitis prevalence was 7.84% in PP and 2.59% in NPP (p = 0.08). Overall implant success was 92.16% and 97.41%, respectively, for PP and NPP.

Conclusions

Under strict maintenance program, five‐year outcomes suggest that short and ultra‐short locking‐taper implants can be successfully restored with single crowns in the posterior jaws both in PP and NPP.

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

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.

Peri-Implant Surgical Treatment Downregulates the Expression of sTREM-1 and MMP-8 in Patients with Peri-Implantitis: A Prospective Study

sTREM-1 and its ligand PGLYRP1 play an essential role in the inflammatory process around teeth and implants. In this study, we aimed to evaluate the impact of peri-implant treatment on the salivary levels of the sTREM-1/PGLYRP-1/MMP-8 axis after 3 months. A total of 42 participants (with a mean age of 61 years old ± 7.3) were enrolled in this longitudinal study, 24 having peri-implant mucositis (MU) and 18 having peri-implantitis (PI). Clinical peri-implant parameters, such as probing pocket depth (PPD), % of plaque, and bleeding on probing (BOP), and the whole unstimulated saliva samples were evaluated at baseline and 3 months after treatment. The MU group received nonsurgical peri-implant treatment, while the PI group received open-flap procedures. The levels of sTREM-1, PGLYRP-1, MMP-8, and TIMP-1 were analyzed using enzyme-linked immunosorbent assays. BOP, plaque levels, and PPD significantly reduced after treatment in both groups. A significant decrease in the salivary levels of sTREM-1, MMP-8, and TIMP-1 in the PI group and PGLYRP1 and TIMP-1 in the MU group were observed. Salivary levels of sTREM-1 were significantly reduced in patients with PI but not with MU. Additionally, peri-implant treatment had a significantly higher impact on MMP-8 reduction in patients with PI than in those with MU.

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

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.

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

OBJECTIVES

Retrospectively evaluate the association of periodontal treatment outcomes and the prevalence of peri-implant diseases around tissue-level implants.

MATERIALS AND METHODS

Eighty-six patients with 260 tissue-level implants attending supporting periodontal and implant therapy for more than 3 years were evaluated. Clinical and radiographic periodontal and implant data were recorded at initial examination (T0), before implant placement (T1) and at final re-examination (T2). Two definitions of peri-implantitis severity, PIBE and PIKA, were used corresponding to the presence of periodontal pocket ≥5 mm or ≥6 mm with bleeding on probing or suppuration and radiographic signs of a bone level ≥2 mm, or ≥3 mm during implant follow-up, respectively. Analyses were performed at patient level.

RESULTS

The mean implant follow-up per patient was 9.4 years and 38.0% of patients had implant for at least 10 years. Two implants were lost due to peri-implantitis. The prevalence of patients with PIKA and PIBE was 15.1% and 12.8%, respectively. Residual periodontal pockets, clinical attachment loss and bone loss/age at T2 were more pronounced in patients with PIKA and PIBE. Cox regression analysis adjusted with the number of implants per patient showed that residual pockets at T1 were independently associated with PIKA and PIBE. Initial diagnosis of severe periodontitis was associated with PIBE incidence.

CONCLUSIONS

The present study showed that periodontal conditions before implant placement are a risk indicator for peri-implantitis incidence. During implant follow-up, the severity of periodontal status appeared to be a reliable indicator of patient susceptibility to peri-implantitis.

The correlation between history of periodontitis according to staging and grading and the prevalence/severity of peri-implantitis in patients enrolled in maintenance therapy

BACKGROUND

The aim of this study was to determine if a previous history of periodontitis according to the preset definitions of the 2017 World Workshop is correlated with increased implant failure, and occurrence and severity of peri-implantitis (PI).

METHODS

A retrospective analysis of patients with a history of periodontitis who received nonsurgical and, if indicated, surgical corrective therapy prior to implant placement was performed. Periodontitis stage and grade were determined for each included patient based on data from the time of initiation of active periodontal therapy. Cox Proportional Hazard Frailty models were built to analyze the correlation between stage and grade of periodontitis at baseline with implant failure, as well as occurrence and severity of PI.

RESULTS

Ninety-nine patients with a history of periodontitis receiving 221 implants were followed for a mean duration of 10.6 ± 4.5 years after implant placement. Six implants (2.7%) failed and a higher rate of implant failure due to PI was found for grade C patients (P < 0.05), whereas only an increased trend was seen for stages III and IV compared with I and II. Grading significantly influenced the risk of marginal bone loss (MBL) >25% of the implant length (P = 0.022) in PI-affected implants. However, a direct correlation between higher-level stage and grade and PI prevalence was not recorded.

CONCLUSION

No statistically significant association between periodontitis stage or grade and the prevalence of PI was found. However, when PI was diagnosed, there was a relationship between periodontitis grade and severity of PI or the occurrence of implant failure.

Predictive Model of Early Neurological Deterioration in Patients with Acute Ischemic Stroke: A Retrospective Cohort Study

OBJECTIVE

This study aimed to develop a predictive model of early neurological deterioration (END) in patients with acute ischemic stroke (AIS).

METHODS

The present retrospective cohort study considered patients with AIS who were admitted to a tertiary hospital in Shenzhen, China between January 2014 and December 2018. An increase of 2 points or more on the National Institute of Health Stroke Scale (NIHSS) within 7 days indicated END. We selected baseline clinical, laboratory, and neuroimaging variables to construct predictive models through multivariate logistic regression. The receiver operating characteristic curve and calibration plots were calculated.

RESULTS

A total of 391 patients with AIS were enrolled in the study. END was observed in 64 (16.4%) cases. A prediction model developed from the initial NIHSS score, middle cerebral artery stenosis, and carotid stenosis of≥ 50% showed good discriminative ability: area under the receiver operating characteristic curve, 0.870 (95%CI, 0.813-0.911); threshold, -1.570; specificity, 84.40%; sensitivity, 75.00%; positive predictive value, 48.48%; and a negative predictive value, 94.52%.

CONCLUSION

Our predictive model developed from the initial NIHSS score, middle cerebral artery stenosis, and carotid stenosis of ≥ 50% could identify patients with AIS who were at risk of developing END. The model requires validation by larger studies performed at other institutions.

Assessment of Peri-Implant Soft Tissues Conditions around Short and Ultra-Short Implant-Supported Single Crowns: A 3-Year Retrospective Study on Periodontally Healthy Patients and Patients with a History of Periodontal Disease

The aim of this retrospective study was to evaluate implant survival, marginal bone loss and peri-implant complications in 326 short and ultra-short implants. Implants were placed in the maxillary and mandibular posterior regions of 140 patients with (PP) and without (NPP) a history of periodontal disease. Clinical and radiographic examinations were performed at 3-year recall appointments. The 8.0, 6.0 and 5.0 mm-length implants placed in PP and NPP were respectively 43.75% and 38.46%, 35.10% and 34.19%, 21.15% and 27.35%; 325 implants (one early failure) were rehabilitated with single crowns in 139 patients. Overall implant survival after 3 years of follow-up was 97.55%, 98.08% and 96.61% for PP and NPP (p = 0.46). Crestal bone level variations were not statistically different among PP and NPP; 15.41% of implants presented signs of mucositis, 14.71% and 16.67% in PP and NPP (p = 0.64). Setting the threshold for bone loss at 2 mm after 36 months, peri-implantitis prevalence was 2.2%, 1.96% and 2.63% in PP and NPP (p = 0.7). Overall implant success was 82.39%, 83.33% and 80.7% for PP and NPP (p = 0.55). Short-term outcomes suggest that short and ultra-short locking-taper implants can successfully be restored with single crowns in the posterior jaws both in PP and NPP.

Breaking the wave of peri-implantitis

Peri-implant diseases are prevalent with a weighted mean prevalence rate of 43% across Europe and 22% across South and North America. Although the main etiologic agent is bacterial biofilm, a myriad of factors influence the initiation and progression of the disease. Unfortunately, the treatment of peri-implant diseases is at best favorable in the short term with a high rate of persistent inflammation and recurrence. Therefore, it is sensible to consider and control all potential factors that may predispose an implant to peri-implant tissue inflammation in an attempt to avoid the disease. This paper reviews recent evidence on factors that may predispose implants to peri-implantitis and measures that can be taken to prevent it.

A nomogram prediction for mandibular molar survival in Chinese patients with periodontitis: A 10-year retrospective cohort study

AIMS

To develop a nomogram prediction model of mandibular molar survival by comprehensively analysing clinical and radiographic risk factors of mandibular molar loss.

MATERIALS AND METHODS

Four hundred and seventy-eight mandibular molars of 139 subjects who underwent non-surgical periodontal treatment were examined retrospectively within a mean follow-up period of 11.1 years. The association of risk factors including clinical and radiographic parameters with mandibular molar loss was assessed using univariate and multivariate Cox regression analyses. A nomogram prediction model was developed, and the validation and discriminatory ability of it were analysed.

RESULTS

Hundred and four molars were lost in this study. Probing depth (PD), attachment loss (AL), furcation involvement (FI), bleeding on probing (BOP), tooth mobility and radiographic bone loss were significantly associated with tooth loss (p < .01). A gradient effect of degree of FI on mandibular molar loss existed increasing from degree Ⅱ (HR = 2.37, 95% CI: 1.48, 3.79) to Ⅲ (HR = 5.61, 95% CI: 3.01, 10.45) versus none & degree Ⅰ. The area under the curve (AUC) of the model was 0.891. The calibration curve and decision curve analysis demonstrated good performance and high net benefit of nomogram, respectively.

CONCLUSIONS

A specific nomogram could be adopted to predict the mandibular molar survival and formulate tailored treatment plans in Chinese.

Nomogram to predict prolonged postoperative ileus after gastrectomy in gastric cancer

BACKGROUND

Prolonged postoperative ileus (PPOI) is one of the common complications in gastric cancer patients who underwent gastrectomy. Evidence on the predictors of PPOI after gastrectomy is limited and few prediction models of nomogram are used to estimate the risk of PPOI. We hypothesized that a predictive nomogram can be used for clinical risk estimation of PPOI in gastric cancer patients.

AIM

To investigate the risk factors for PPOI and establish a nomogram for clinical risk estimation.

METHODS

Between June 2016 and March 2017, the data of 162 patients with gastrectomy were obtained from a prospective and observational registry database. Clinical data of patients who fulfilled the criteria were obtained. Univariate and multivariable logistic regression models were performed to detect the relationship between variables and PPOI. A nomogram for PPOI was developed and verified by bootstrap resampling. The calibration curve was employed to detect the concentricity between the model probability curve and ideal curve. The clinical usefulness of our model was evaluated using the net benefit curve.

RESULTS

This study analyzed 14 potential variables of PPOI in 162 gastric cancer patients who underwent gastrectomy. The incidence of PPOI was 19.75% in patients with gastrectomy. Age older than 60 years, open surgery, advanced stage (III–IV), and postoperative use of opioid analgesic were independent risk factors for PPOI. We developed a simple and easy-to-use prediction nomogram of PPOI after gastrectomy. This nomogram had an excellent diagnostic performance [area under the curve (AUC) = 0.836, sensitivity = 84.4%, and specificity = 75.4%]. This nomogram was further validated by bootstrapping for 500 repetitions. The AUC of the bootstrap model was 0.832 (95%CI: 0.741–0.924). This model showed a good fitting and calibration and positive net benefits in decision curve analysis.

CONCLUSION

We have developed a prediction nomogram of PPOI for gastric cancer. This novel nomogram might serve as an essential early warning sign of PPOI in gastric cancer patients.