Discovering medical conditions associated with periodontitis using linked electronic health records

J Clin Periodontol. 2013 May;40(5):474-82. doi: 10.1111/jcpe.12086. Epub 2013 Mar 15.

Abstract

Aim: To use linked electronic medical and dental records to discover associations between periodontitis and medical conditions independent of a priori hypotheses.

Materials and methods: This case-control study included 2475 patients who underwent dental treatment at the College of Dental Medicine at Columbia University and medical treatment at NewYork-Presbyterian Hospital. Our cases are patients who received periodontal treatment and our controls are patients who received dental maintenance but no periodontal treatment. Chi-square analysis was performed for medical treatment codes and logistic regression was used to adjust for confounders.

Results: Our method replicated several important periodontitis associations in a largely Hispanic population, including diabetes mellitus type I (OR = 1.6, 95% CI 1.30-1.99, p < 0.001) and type II (OR = 1.4, 95% CI 1.22-1.67, p < 0.001), hypertension (OR = 1.2, 95% CI 1.10-1.37, p < 0.001), hypercholesterolaemia (OR = 1.2, 95% CI 1.07-1.38, p = 0.004), hyperlipidaemia (OR = 1.2, 95% CI 1.06-1.43, p = 0.008) and conditions pertaining to pregnancy and childbirth (OR = 2.9, 95% CI: 1.32-7.21, p = 0.014). We also found a previously unreported association with benign prostatic hyperplasia (OR = 1.5, 95% CI 1.05-2.10, p = 0.026) after adjusting for age, gender, ethnicity, hypertension, diabetes, obesity, lipid and circulatory system conditions, alcohol and tobacco abuse.

Conclusions: This study contributes a high-throughput method for associating periodontitis with systemic diseases using linked electronic records.

Publication types

  • Comparative Study
  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Aged
  • Alcoholism / epidemiology
  • Case-Control Studies
  • Clinical Coding
  • Confounding Factors, Epidemiologic
  • Data Collection
  • Data Mining
  • Dental Records*
  • Diabetes Mellitus, Type 1 / epidemiology
  • Diabetes Mellitus, Type 2 / epidemiology
  • Electronic Health Records*
  • Epidemiology*
  • Female
  • Hispanic Americans / statistics & numerical data
  • Humans
  • Hypercholesterolemia / epidemiology
  • Hyperlipidemias / epidemiology
  • Hypertension / epidemiology
  • Male
  • Middle Aged
  • New York / epidemiology
  • Obesity / epidemiology
  • Parturition
  • Periodontitis / epidemiology*
  • Pregnancy
  • Prostatic Hyperplasia / epidemiology
  • Tobacco Use Disorder / epidemiology