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DOI 10.5051/jpis.2018.48.2.92

Медицинская библиотека · Journal of periodontal & implant science · 2018

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

Lee Jae-Hong, Choi Jung-Kyu, Jeong Seong-Nyum, Choi Seong-Ho

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Аннотация

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.

Для цитирования: Lee Jae-Hong, Choi Jung-Kyu, Jeong Seong-Nyum, Choi Seong-Ho. Charlson comorbidity index as a predictor of periodontal disease in elderly participants.. Journal of periodontal & implant science. 2018. DOI: 10.5051/jpis.2018.48.2.92.
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