Exploring the Relationship Among Dental Caries, Nutritional Habits and Peri-implantitis
NCT ID: NCT04439877
Last Updated: 2020-06-19
Study Results
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Basic Information
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COMPLETED
169 participants
OBSERVATIONAL
2018-02-01
2020-03-05
Brief Summary
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Material and methods: The included subjects underwent a clinical examination and were asked to complete a questionnaire. Demographic data and potential lifestyle/behavioral variables were collected. Clinical and radiographic assessment allowed calculation of the decayed, missing and filled teeth (DMFT) index and peri-implant diagnosis. Uni- and multivariate logistic regression analyses were applied to identify predictors of peri-implant disease.
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Detailed Description
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The present cross-sectional study was conducted after approval from the local Ethics Committee (Ref. PER-ECL-PER-2017-08) and in accordance with the ethical principles outlined in the Declaration of Helsinki. It is reported according the Strengthening the Reporting of Observational Studies Epidemiology (STROBE) statement recommendations (von Elm et al., 2009). Selected subjects were informed about the aims of the research, and written consent was obtained before starting the study.
2.2. Study population
Patients visiting the Postgraduate Periodontology Clinic of the Faculty of Dentistry of the Universitat Internacional de Catalunya (Barcelona, Spain) from January 2018 to December 2019 were consecutively enrolled in the study by one of the researchers (JV), if they met the criteria addressed later on in the form.
2.3. Data collection
Data collection comprised a patient interview and clinical and radiographic assessment. Initially, a previously trained examiner (MP) interviewed the patients and collected the following data:
* Age (years).
* Gender (female/male).
* Smoking habit: smoker, non-smoker or ex-smoker. In the case of smokers, the total amount of cigarettes per day was categorized as \< 10 or more than 10 cigarettes per day.
* Systemic diseases: presence or absence.
* Diabetes mellitus: presence or absence. In the case of diabetic patients, glycemic control was assessed on the basis of a previous blood test.
* Body mass index (BMI): recorded as weight (kg)/ height (m)2.
* Dietary habits: assessed by the Mediterranean Diet Score (MDS) questionnaire (Martínez-González et al., 2012) and classified as low adherence (score ≤ 5), medium adherence (score 6-9) or high adherence (score ≥10).
* Regular sugar consumption: yes or no. Sugar consumers were also asked about their level of sugar intake (low, medium, high).
* Nutrient or vitamin deficiencies: presence or absence.
* Oral dryness: patient perception of dry mouth (presence or absence).
* Educational level (EL): primary and secondary or professional and university.
* Oral hygiene measures: frequency of teeth brushing and interproximal hygiene.
* Supportive periodontal treatment (SPT): regular (≥ 2 times/year) or irregular (\< 2 times/year).
* Cause of tooth loss: caries, mobility, caries and mobility, and trauma/fracture.
Any doubts coming from the questionnaire were solved by the examiner. A previously calibrated examiner (LG) conducted the intraoral examination (with a Cohen inter-agreement kappa index \> 85%). The exploration was conducted to assess the following parameters:
* Periodontal indexes: full mouth plaque score (FMPS) (O'Leary et al. 1972) and bleeding score (FMBS) (Ainamo \& Bay 1975).
* History of periodontitis: assessed radiographically by the presence or absence of bone loss.
* Number of decayed, missing and filled teeth (DMFT) assessed by visual inspection and radiographic assessment following the ICDAS (Pitts \& Ekstrand, 2013). All tooth surfaces were examined, but the observations were recorded per tooth.
* Probing pocket depth (PPD) (in mm), bleeding on probing (BoP) (yes/no), suppuration (SUP) (yes/no), keratinized mucosa (KM) (in mm) were all recorded at 6 sites per implant using a PCP UNC 15 probe (Hu-Friedy ®).
* Radiographic bone level (in mm) at mesial and distal to the implant site using the parallel cone technique.
* Implant position (anterior maxilla, anterior mandible, posterior maxilla, posterior mandible).
* Interproximal untreated caries or fillings adjacent to implants: yes/no. If these conditions were present, their location was recorded (mesial, distal or both).
Patients presenting with caries or periodontal or peri-implant disease were referred to the corresponding clinical department within the Universitat Internacional de Catalunya for further evaluation and management.
2.4. Outcome measures
The main outcome measure of the study was the prevalence of dental caries and peri-implant disease.
All other variables obtained from the questionnaire and clinical examination were regarded as secondary outcome measures.
2.5. Sample size calculation
A logit regression model used to associate the outcome diagnosis at the patient level and each exposure variable reached a statistical power of 82.5% in detecting odds ratio (OR) = 2.5 as being significant in the recruited sample (n= 169), assuming a confidence level of 95%. At the implant level, the power was 96.2% under the same previous conditions. Due to the multi-level design, the power had to be corrected. In this regard, assuming a moderate intra-subject correlation (ρ = 0.5), a power of 87.7% was estimated.
2.6. Statistical analysis
A descriptive analysis was carried out, with the calculation of absolute and relative frequencies (categorical variables) and the mean and standard deviation (SD) (continuous variables).
At patient level, simple binary logistic regression models were estimated to study the association between the patient diagnosis (H versus M, and H versus PI) and each of the exposure variables. At implant level, simple binary logistic regression models were estimated using generalized estimating equations (GEEs). The models estimated odds ratio (OR) from the Wald chi-squared statistic. The GEE approach addressed intra-subject dependency between observations due to the multiplicity of implants per patient. Relevant exposure variables (p\<0.10) were incorporated into a multiple logistic regression model at patient and implant level to obtain adjusted ORs. The SPPS version 21.0 statistical package (SPSS Inc., Chicago, IL, USA) was used throughout. The level of significance was 5% (α = 0.05).
Conditions
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Study Design
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COHORT
CROSS_SECTIONAL
Interventions
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Peri-implant disease diagnosis
Diagnosis of peri-implant disease
Eligibility Criteria
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Inclusion Criteria
* One or more dental implants with an implant-supported fixed restoration.
* A minimum of one year elapsed from implant-supported restoration delivery.
* Partially edentulous patients with more than 20 teeth in the mouth.
Exclusion Criteria
* Implant cemented-retained prosthesis.
* Patients previously treated for peri-implantitis.
* Patients taking medications known to modify bone metabolism or with established degenerative diseases of bone (hyperparathyroidism, osteoporosis).
* Patients who had taken antibiotics, nonsteroidal antiinflammatory drugs or corticosteroids for more than two weeks in the three months before the study.
18 Years
ALL
Yes
Sponsors
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Universitat Internacional de Catalunya
OTHER
Responsible Party
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Javi Vilarrasa
Assistant Professor at the Department of Periodontology
Principal Investigators
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Jose Nart, Dr
Role: STUDY_DIRECTOR
Universitat Internacional de Catalunya
Locations
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Universitat Internacional de Catalunya
Barcelona, Catalonia, Spain
Countries
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References
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Berglundh T, Armitage G, Araujo MG, Avila-Ortiz G, Blanco J, Camargo PM, Chen S, Cochran D, Derks J, Figuero E, Hammerle CHF, Heitz-Mayfield LJA, Huynh-Ba G, Iacono V, Koo KT, Lambert F, McCauley L, Quirynen M, Renvert S, Salvi GE, Schwarz F, Tarnow D, Tomasi C, Wang HL, Zitzmann N. Peri-implant diseases and conditions: Consensus report of workgroup 4 of the 2017 World Workshop on the Classification of Periodontal and Peri-Implant Diseases and Conditions. J Periodontol. 2018 Jun;89 Suppl 1:S313-S318. doi: 10.1002/JPER.17-0739.
Martinez-Gonzalez MA, Garcia-Arellano A, Toledo E, Salas-Salvado J, Buil-Cosiales P, Corella D, Covas MI, Schroder H, Aros F, Gomez-Gracia E, Fiol M, Ruiz-Gutierrez V, Lapetra J, Lamuela-Raventos RM, Serra-Majem L, Pinto X, Munoz MA, Warnberg J, Ros E, Estruch R; PREDIMED Study Investigators. A 14-item Mediterranean diet assessment tool and obesity indexes among high-risk subjects: the PREDIMED trial. PLoS One. 2012;7(8):e43134. doi: 10.1371/journal.pone.0043134. Epub 2012 Aug 14.
Other Identifiers
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PER-ECL-2017-08
Identifier Type: -
Identifier Source: org_study_id
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