All-cause and cause-specific mortality in US adults with periodontal diseases: A prospective cohort study

J Clin Periodontol. 2024 Sep;51(9):1157-1167. doi: 10.1111/jcpe.14002. Epub 2024 May 27.

Abstract

Aim: This prospective cohort study investigated the association between periodontal diseases (PDs) and all-cause and cause-specific mortality.

Materials and methods: We utilized adult participants recruited from six National Health and Nutrition Examination Survey cycles (1999-2014) and linked mortality data from the National Death Index up to December 2019. Baseline clinical periodontal examinations were performed by trained and calibrated examiners. All-cause and cause-specific mortality was modelled through multivariable Cox proportional hazards and Fine-Gray models to account for competing risks. All models were adjusted for demographic and lifestyle variables, clinical measurements and comorbidities.

Results: Overall, 15,030 participants were included, with a median length of follow-up of 9 years. Risk of all-cause mortality was 22% greater in people with PD than the control group (adjusted hazard ratio [HR]: 1.22, 95% confidence interval [CI]: 1.12-1.31). Risks of mortality by cardiovascular diseases (CVD), respiratory disease and diabetes were highest in participants with severe PD (CVD-sub-distribution HR [SHR]: 1.38, 95% CI: 1.16-1.64; respiratory-SHR: 1.62, 95% CI: 1.07-2.45; diabetes-SHR: 1.68, 95% CI: 1.12-2.53).

Conclusions: Severe PD is associated with all-cause and cause-specific mortality among US adults after multivariable adjustment.

Keywords: Big Data; cohort study; mortality; oral health; periodontal diseases.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Cardiovascular Diseases / mortality
  • Cause of Death*
  • Cohort Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Nutrition Surveys*
  • Periodontal Diseases* / complications
  • Periodontal Diseases* / mortality
  • Proportional Hazards Models
  • Prospective Studies
  • Risk Factors
  • United States / epidemiology

Grants and funding