TY - JOUR
T1 - Discovering medical conditions associated with periodontitis using linked electronic health records
AU - Boland, Mary Regina
AU - Hripcsak, George
AU - Albers, David J.
AU - Wei, Ying
AU - Wilcox, Adam B.
AU - Wei, Jin
AU - Li, Jianhua
AU - Lin, Steven
AU - Breene, Michael
AU - Myers, Ronnie
AU - Zimmerman, John
AU - Papapanou, Panos N.
AU - Weng, Chunhua
PY - 2013/5
Y1 - 2013/5
N2 - 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.
AB - 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.
KW - data linkage
KW - dental records
KW - electronic health records
KW - medical informatics
KW - periodontal diseases
UR - http://www.scopus.com/inward/record.url?scp=84876061036&partnerID=8YFLogxK
U2 - 10.1111/jcpe.12086
DO - 10.1111/jcpe.12086
M3 - Article
C2 - 23495669
AN - SCOPUS:84876061036
SN - 0303-6979
VL - 40
SP - 474
EP - 482
JO - Journal of Clinical Periodontology
JF - Journal of Clinical Periodontology
IS - 5
ER -