J Periodontal Implant Sci.  2018 Apr;48(2):92-102. 10.5051/jpis.2018.48.2.92.

Charlson comorbidity index as a predictor of periodontal disease in elderly participants

Affiliations
  • 1Department of Periodontology, Daejeon Dental Hospital, Institute of Wonkwang Dental Research, Wonkwang University College of Dentistry, Daejeon, Korea.
  • 2Department of Health Insurance Research, Ilsan Hospital, National Health Insurance Service, Goyang, Korea.
  • 3Department of Periodontology, Research Institute for Periodontal Regeneration, Yonsei University College of Dentistry, Seoul, Korea. shchoi726@yuhs.ac

Abstract

PURPOSE
This study investigated the validity of the Charlson comorbidity index (CCI) as a predictor of periodontal disease (PD) over a 12-year period.
METHODS
Nationwide representative samples of 149,785 adults aged ≥60 years with PD (International Classification of Disease, 10th revision [ICD-10], K052-K056) were derived from the National Health Insurance Service-Elderly Cohort during 2002-2013. The degree of comorbidity was measured using the CCI (grade 0-6), including 17 diseases weighted on the basis of their association with mortality, and data were analyzed using multivariate Cox proportional-hazards regression in order to investigate the associations of comorbid diseases (CDs) with PD.
RESULTS
The multivariate Cox regression analysis with adjustment for sociodemographic factors (sex, age, household income, insurance status, residence area, and health status) and CDs (acute myocardial infarction, congestive heart failure, peripheral vascular disease, cerebral vascular accident, dementia, pulmonary disease, connective tissue disorders, peptic ulcer, liver disease, diabetes, diabetes complications, paraplegia, renal disease, cancer, metastatic cancer, severe liver disease, and human immunodeficiency virus [HIV]) showed that the CCI in elderly comorbid participants was significantly and positively correlated with the presence of PD (grade 1: hazard ratio [HR], 1.11; P < 0.001; grade ≥2: HR, 1.12, P < 0.001).
CONCLUSIONS
We demonstrated that a higher CCI was a significant predictor of greater risk for PD in the South Korean elderly population.

Keyword

Comorbidity; Periodontal disease; Risk factors

MeSH Terms

Adult
Aged*
Classification
Cohort Studies
Comorbidity*
Connective Tissue
Dementia
Diabetes Complications
Family Characteristics
Heart Failure
HIV
Humans
Insurance Coverage
Liver Diseases
Lung Diseases
Mortality
Myocardial Infarction
National Health Programs
Paraplegia
Peptic Ulcer
Periodontal Diseases*
Peripheral Vascular Diseases
Risk Factors

Figure

  • Figure 1 The cumulative incidence of PD in patients with CDs was estimated using the Kaplan-Meier method and compared using the log-rank test. A higher CCI was associated with a higher incidence of PD in elderly participants with comorbidities (P<0.001).PD: periodontal disease, CD: comorbid disease, CCI: Charlson comorbidity index.

  • Figure 2 Associations of comorbidities with PD in elderly participants in the multivariate regression analysis. The multivariate Cox proportional-hazards regression analysis adjusted for sex, age, household income, insurance status, residence area, health status, acute myocardial infarction, congestive heart failure, peripheral vascular disease, cerebral vascular accident, dementia, pulmonary disease, connective tissue disorders, peptic ulcer, liver disease, diabetes, diabetes complications, paraplegia, renal disease, cancer, metastatic cancer, severe liver disease, and HIV. Data are HRs with 95% CIs.PD: periodontal disease, HIV: human immunodeficiency virus, HR: hazard ratio, CI: confidence interval, MAP: Medical Aid Program, NHIS: National Health Insurance Service, CCI: Charlson comorbidity index.


Cited by  1 articles

Association between health status and tooth loss in Korean adults: longitudinal results from the National Health Insurance Service-Health Examinee Cohort, 2002–2015
Yeon-Tae Kim, Jung-Kyu Choi, Do-Hyung Kim, Seong-Nyum Jeong, Jae-Hong Lee
J Periodontal Implant Sci. 2019;49(3):158-170.    doi: 10.5051/jpis.2019.49.3.158.


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