Development and validation of a predictive model for periodontitis using NHANES 2011-2012 data.

ABSTRACT:

Aim

To develop and validate a predictive model for moderate-to-severe periodontitis in the adult USA population, with data from the 2011-2012 National Health and Nutrition Examination Survey (NHANES) cycle.

Material and methods

A subset of 3017 subjects aged >30 years, with >14 teeth present and having received a periodontal examination in addition to data collected on cardio-metabolic risk measures (smoking habit, body mass index [BMI], blood pressure, total cholesterol and glycated haemoglobin [HbA1c]) were used for model development by multivariable logistic regression.

Results

The prevalence of moderate and severe periodontitis using CDC/AAP classification was 37.1% and 13.2%, respectively. A multivariable logistic regression model revealed that HbA1c ≥5.7% was si

SUBMITTER: Montero E 

PROVIDER: S-EPMC7050186 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature