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PREDICTIVE ABILITY OF A PANEL OF BIOMARKERS IN SALIVA IN HEALTHY AND PERIODONTALLY AFFECTED SUBJECTS

Completed
Conditions
Periodontitis
Biomarkers
Saliva
Registration Number
NCT06047132
Lead Sponsor
Universidad Complutense de Madrid
Brief Summary

Objective: The main aim of this cross-sectional clinical study is to evaluate the predictive ability of a panel of salivary biomarkers in determining periodontal health status.

Material and methods: In this observational, cross-sectional study patients attending consecutively to the Periodontal Postgraduate Clinic at the University Complutense of Madrid. The participants will be categorized into different periodontal health status groups based on the 2018 classification of periodontal diseases, including periodontally healthy, gingivitis, treated periodontitis (stable/unstable), and various stages of periodontitis. During the screening visit, participants will undergo a comprehensive medical examination to gather relevant health information, including age, gender, weight, height, waist circumference, and drug, alcohol, and smoking history. Additionally, clinical assessments, saliva samples and microbiological parameters will be recorded. A convenience sample of 100 subjects will be recruited for this pilot study with the objective to generate data for the multivariate predictive analysis. Data analyses: Descriptive statistics will be used to report the clinical variables and patients will be grouped according to the pre-established diagnostic categories (periodontally healthy, gingivitis, treated periodontitis patient. In order to determine the possible statistical relationship with the medical, biochemical and microbiological variables assessed, a crude bivariate analysis will first be performed by applying a mean comparison test for quantitative variables (ANOVA) and a proportion comparison test for categorical variables (Chi-square). Subsequently, those variables identified as relevant in the crude analyses will be included as confounding and/or interaction factors in a binary logistic regression model, considering the presence of periodontitis as a response variable, in order to obtain crude and adjusted OR values, together with their corresponding 95% CIs. Based on the results obtained in the biomarker analysis, a relevant statistical analysis will be performed, taking into account all the variables collected in the study

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
100
Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Salivary biomarkersBaseline

Combination of C-reactive protein (CRP), triggering receptor expressed on myeloid cells-1 (TREM-1), interleukin (IL)-1beta, metalloproteinase (MMP)-8, IL-10, IL-6, monocyte chemoattractant protein-1 (MCP-1), Macrophage Inflammatory Protein-1 Alpha (MIP-1), interferon-gamma (IFN-gamma), osteoprotegerine (OPG), Receptor activator of nuclear factor kappa B ligand (RANKL), Tumor Necrosis Factor-Alpha (TNF-alpha).

Secondary Outcome Measures
NameTimeMethod
Blood pressureBaseline
Patient's temperatureBaseline

digital body thermometer

GenderBaseline
AgeBaseline
Plaque indexBaseline

Presence/Absence

RecessionBaseline

Distance in mm between the amelocemental boundary and the gingival margin

Radiographic bone lossBaseline

Panoramic radiograph

HabitsBaseline

Drug, alcohol, and smoking history

Hb1AcBaseline

using a point of care home use diagnostic test (A1CNow+; Bayer)

Suppuration on probingBaseline

Presence/Absence

Probing depthBaseline

Distance in mm between the bottom of the pocket and the gingival margin

Microbiological analysesBaseline

Presence and quantity of Porphyromonas gingivalis, Aggregatibacter actinomycetemcomitans and Tannerella forsythia

Bleeding on probingBaseline

Presence/Absence

Finn-riskBaseline

diabetic risk questionnaire

Trial Locations

Locations (1)

Faculty of Dentistry, University Complutense of Madrid (UCM)

🇪🇸

Madrid, Spain

Faculty of Dentistry, University Complutense of Madrid (UCM)
🇪🇸Madrid, Spain

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