Peri‐implant soft tissue status and crestal bone levels around adjacent implants placed in cigarette smokers and never smokers: Five‐year follow‐up results

ArRejaie, Aws S.; Al‐Aali, Khulud Abdulrahman; Alrabiah, Mohammed; Mokeem, Sameer A; Vohra, Fahim; Abduljabbar, Tariq

doi:10.1002/jper.18-0117

Cited by 12 publications

(8 citation statements)

References 39 publications

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“…Some research compared both showed there was no statistical difference about the soft tissue around implant and alveolar bone absorption between smokers and non-smokers, and the implant success and survival rate can amount to 100%. 9,10 But the overwhelming consensus was that smokers have a higher rate of implant failure than nonsmokers. Vervaeke reported that implant bone loss in smokers was 1.18mm higher than that in non-smokers.…”

Section: Discussionmentioning

confidence: 99%

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Novel and Accurate Predictive Model of Peri-implantitis for Implant Prosthesis in Managing Patients With Chronic Periodontitis

Lu¹,

Zhang²,

Qian³

2021

Preprint

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The aim of this study was to identify the influencing factors of peri-implantitis for implant prosthesis and to establish a predictive model of occurrence in managing patients with chronic periodontitis. 430 patients (a total of 686 implants) with 5 years follow-up were included in the study. The demographic and clinical characteristics independent variables were including patient related factors (age, gender, duration of symptoms, smoking, diabetes, severity of periodontitis, bone mineral density, oral hygiene) and implants related factors (position, implant diameter, implant length, additional operations, probing depth, gingival index, plaque index, load-bearing time). Univariate analysis identified the influencing factors, the statistically significant factors were further analyzed by multivariate logistic regression, and the predictive model was established. After 5 years of follow-up, peri-implantitis occurred in 95 of 686 implants (13.8%). Multiple linear regression indicated that smoking (p = 0.011), diabetes (p < 0.001), severe periodontitis (p = 0.023), lager implant diameter (p < 0.001) and poor oral hygiene (p < 0.001) increased the odds of occurrence of peri-implantitis. There were no significant differences in other factors. (p > 0.05) Logistic regression drew the equation: occurrence of peri-implantitis = [1 + e (16.172+5.395*smoking+4.807*diabetes +8.109*severe periodontitis+5.569*lager implant diameter+11.138*poor oral hygiene)]−1. The sensitivity of predictive factors was 91.77%, 88.43%, 82.64%, 85.21% and 92.02%, respectively. The specificity 45.65%, 49.17%, 66.23%, 42.39% and 65.41%, respectively. The AUC was 0.721, 0.620, 0.453, 0.651 and 0.826, respectively. Hosmer-Lemeshow test showed a good fitting of the predictive model with an overall accuracy of 87.2%. Smoking, diabetes, severe periodontitis, lager implant diameter and poor oral hygiene are important risk factors of peri-implantitis. We also established a novel and accurate predictive model for the occurrence of peri-implantitis in managing patients with chronic periodontitis. The use of these parameters, in the form of a predictive model, has the potential to improve decision-making in the application of the treatment plan.

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Section: Discussionmentioning

confidence: 99%

“…Of these patients, 166 (38.6%) had BMI index under 26, 227 (52.8%) range 26-30 and 37 (8.6%) above 30. The mean duration of symptoms was 5.8 years (range, [3][4][5][6][7][8][9][10][11][12]. 109 (25.3%) patients had history of smoking.…”

Section: Patient Demographic and Clinical Characteristicsmentioning

confidence: 99%

Novel and Accurate Predictive Model of Peri-implantitis for Implant Prosthesis in Managing Patients With Chronic Periodontitis

Lu¹,

Zhang²,

Qian³

2021

Preprint

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“…CBL was measured only at baseline using bitewing radiographs (Ekta speed plus; Kodak) to confirm the diagnosis of peri‐implantitis. Baseline CBL was recorded as a linear distance from 2 mm below IAC to crest 29,30 …”

Section: Methodsmentioning

confidence: 99%

“…Baseline CBL was recorded as a linear distance from 2 mm below IAC to crest. 29,30 These parameters were recorded at baseline and after 120 days.…”

Section: Clinical and Radiographic Investigationsmentioning

confidence: 99%

Effect of photobiomodulation after non‐surgical mechanical debridement on cortisol levels in the peri‐implant sulcular fluid among patients with peri‐implant mucositis

Alhumaidan

Alali

Ahmed

et al. 2022

Photoderm Photoimm Photomed

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Objective: The aim of this was to compare the efficacy of photobiomodulation after non-surgical mechanical debridement (MD) on cortisol levels (CL) in peri-implant sulcular fluid (PISF) among patients with peri-implant mucositis.Methods: Patients with peri-implant mucositis were encompassed. All patients underwent non-surgical MD with (test group) and without (control group) a single application of photobiomodulation. Demographic data were collected and PISF was collected.Peri-implant modified plaque index (mPI), modified gingival index (mGI), probing depth and crestal bone loss were measured, and CL in PISF were recorded. All clinical parameters and PISF CL were re-assessed at 4 months of follow-up. p < .05 showed statistical significance.Results: Seventeen (14 males and 3 females) and 17 (15 males and 2 females) patients with peri-implant mucositis were recruited in test and control groups. The mean age of patients in the test and control groups was 46.1 ± 6.5 and 50.2 ± 2.7 years respectively. At baseline, mPI, mGI, PD and PISF volume and CL in control and test groups were similar. At follow-up, there was a significant reduction in mPI (p < .001), mGI (p < .001), PD (p < .001) and PISF volume (p < .001) and CL (p < .001) in both groups compared with baseline. There was no difference in mPI, mGI, PD and PISF volume and CL in test and control groups at follow-up. Conclusion:In short term, non-surgical MD with photobiomodulation does not offer additional benefits in terms of reducing soft-tissue inflammatory parameters and PISF CL in patients with peri-implant mucositis.

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“…The MBL and CBL were defined as a lined distance from 2 mm below the cementoenamel junction and IAC, respectively, to the bony crest. 19,20…”

Section: Clinicoradiographic Assessmentmentioning

confidence: 99%

Cortisol levels in the peri‐implant sulcular fluid among patients with and without peri‐implantitis

Alresayes

Al‐Askar

Mokeem

et al. 2021

J of Periodontal Research

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Background and Objective: Cortisol levels remain uninvestigated in peri-implant sulcular fluid (PISF) of patients with and without peri-implantitis. The present investigation investigated levels of cortisol in PISF among controls (individuals without peri-implantitis) and patients with peri-implantitis. Methods:The patient population comprised of participants with and without periimplantitis (groups 1 and 2, respectively). Demographic information and data related to implant characteristics was recorded. Peri-implant radiographic (crestal bone loss [CBL]) and clinical (modified plaque and bleeding on probing indices [PI and BOP], and probing depth [PD]) and parameters were assessed. In all patients, levels of cortisol were measured in the PISF, which was collected using standard methods. Data normality and group comparisons were assessed, and multiple logistic regression was performed. Probability values less than 0.01 were nominated as being significant.Results: Eighty-eight individuals (44 and 44 in groups 1 and 2, correspondingly) were included. In group 1, 24 and 20 participants were males and females, and there were 22 and 22 males and females in group 2. Mean ages were analogous in both groups.Peri-implant BOP (p < .001); CBL (p < .001); PI (p < .001); and PD (p < .001) were higher among patients in group 1 compared with group 2. The volume of PISF (p < .001) collected and its concentrations of cortisol (p < .001) were significantly higher among patients in group 1 compared with group 2. Regression analysis showed that CBL and PD directly correlated with increased PISF levels of cortisol among participants with peri-implantitis. Conclusion:Within the limits of the present study, it remains debatable whether or not PISF cortisol levels vary among patients with and without peri-implantitis. Further studies are needed to evaluate the role of PISF levels of cortisol in the diagnosis of peri-implantitis.

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Peri‐implant soft tissue status and crestal bone levels around adjacent implants placed in cigarette smokers and never smokers: Five‐year follow‐up results

Cited by 12 publications

References 39 publications

Novel and Accurate Predictive Model of Peri-implantitis for Implant Prosthesis in Managing Patients With Chronic Periodontitis

Novel and Accurate Predictive Model of Peri-implantitis for Implant Prosthesis in Managing Patients With Chronic Periodontitis

Effect of photobiomodulation after non‐surgical mechanical debridement on cortisol levels in the peri‐implant sulcular fluid among patients with peri‐implant mucositis

Cortisol levels in the peri‐implant sulcular fluid among patients with and without peri‐implantitis

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