Association between C-Reactive protein and periodontitis in an obese population from the NHANES 2009-2010

The Role of Systemic Health Indicators, Including C-Reactive Protein and eGFR, in Predicting Periodontal Disease: A Longitudinal Study

C-reactive protein (CRP) and estimated glomerular filtration rate (eGFR) are key biomarkers reflecting systemic inflammation and metabolic dysfunction. This study explored systemic and oral health indicators, including CRP and eGFR, as potential factors associated with periodontitis, using a longitudinal clinical dataset comprising 23,742 records from patients identified by ICD-10 codes between 2015 and 2022. Univariate Cox analysis and Gompertz models, selected based on AIC and BIC after evaluating alternative models, were employed to assess the predictive roles of CRP and eGFR in periodontitis incidence, adjusting for oral and systemic health factors. Elevated CRP (>15 mg/L) and reduced eGFR (<60 mL/min/1.73 m2) were significant predictors of periodontitis, with hazard ratios (HR) of 1.36 [1.05-1.77] and 1.39 [1.08-1.78], respectively. Atherosclerosis (HR: 2.12 [1.11-4.06]), diseases of the hard tissues of the teeth (HR: 7.30 [5.45-9.78]), and disorders of the teeth and supporting structures (HR: 3.02 [2.05-4.43]) also demonstrated strong predictive associations. CRP and eGFR emerged as potential biomarkers for predicting periodontitis, enabling early interventions to prevent tooth loss and systemic complications. Patients with chronic kidney disease, atherosclerotic heart disease, and lipid metabolism disorders are at higher risk, emphasizing the need for integrated care addressing both systemic and oral health factors.

Relationship between three body obesity indicators, WWI, BMI, WtHR, and periodontitis

Many scholars have studied the relationship between obesity and periodontitis. The relationship between different obesity indicators and periodontitis seems to vary. In this study, we would like to explore the relationship between three commonly used obesity indicators, WWI (weight-adjusted-waist index), BMI (body mass index), WtHR (waist-to-height ratio), and periodontitis, and try to find the most clinically valuable indicators. The NHANES 2009-2014 provided the data for this study. 10,289, 10,600 and 10,290 participants were included to explore the relationship between WWI, BMI, WtHR and periodontitis respectively. Multiple logistic regression, smooth curve fitting, threshold effects analysis, and subgroup analysis were used to explore their relationships. WWI and periodontitis positively correlated in model III (OR = 1.35; 95% CI, 1.26-1.45, p < 0.001). This result persisted after the quartile for WWI was created. Furthermore, in smooth curve fitting, the relationship between WWI and periodontitis with an inflection point of 12.68 was observed. In the fully adjusted model, WtHR also showed a positive correlation with periodontitis (OR = 2.94; 95% CI, 1.57-5.50, p < 0.001). However, BMI did not express a significant association with periodontitis either as a continuous or categorical variable. This cross-sectional study exposed a positive correlation between WWI, WtHR and periodontitis and this positive correlation showed an age difference.

Red blood cell folate level is associated with periodontitis in American adults: results from the NHANES 2009-2014

BACKGROUND

Red blood cell (RBC) folate is an indicator of long-term folate nutrition. Whether there is an association between RBC folate and periodontitis is unclear. This study aimed to use the NHANES database to determine whether RBC folate is associated with moderate/severe periodontitis.

METHODS

A cross-sectional analysis of 10,151 participants in the NHANES database from 2009 to 2014 was performed. Multivariate logistic regression was used to analyze the independent relationship between RBC folate and moderate/severe periodontitis. The generalized additive model (GAM), restricted cubic splines (RCS), smooth curve fitting, and threshold effect analysis were used to explore the dose-response relationship and the potential nonlinear relationship between RBC folate and periodontitis. Finally, subgroup analysis and interaction tests were performed to determine the effect of covariates on the relationship between RBC folate and moderate/severe periodontitis.

RESULTS

After adjusting for all confounders, there was a negative association between RBC folate concentration and moderate/severe periodontitis. The lowest fraction Q1 (< 360 ng/mL) of RBC folate concentration was used as the reference group, multivariable-adjusted ORs and 95% CIs of the second (360-463 ng/mL), third (464-569 ng/mL), fourth (570-732 ng/mL), and the highest quintile (> 733 ng/mL) categories were 0.88 (0.77, 1.01), 0.83 (0.72, 0.96), 0.77 (0.67, 0.90), 0.65 (0.56, 0.77) respectively. Additionally, a threshold nonlinear association was found between RBC folate (ng/mL) log2 transformation and moderate/severe periodontitis.

CONCLUSION

This cross-sectional study revealed a negative relationship between RBC folate and moderate/severe periodontitis within a certain threshold range. Dentists and policymakers should pay closer attention to oral hygiene and health care for people with low or high RBC folate levels. Further causal and longitudinal research mechanisms are needed to validate our findings.

Association between serum neurofilament light chain and periodontitis

OBJECTIVES

The association between serum neurofilament light chain (sNfL) and periodontitis remains unclear, and there is a need to examine the contribution of serum albumin (SA) in this association. The objective of the study is to investigate the correlation between sNfLand periodontitis, while examining the potential mediator role of SA in this association.

METHODS

The study, which included 1218 participants from the 2013-2014 National Health and Nutrition Examination Survey (NHANES), aimed to evaluate the association between sNfL and periodontitis through weighted multivariable logistic regression analysis, restricted cubic spline (RCS) models, and stratified models. In addition, mediation analysis was used to investigate the role of SA in mediating this association.

RESULTS

The multivariable logistic regression models revealed that sNfL was significantly linked to periodontitis (model 1: odds ratio [OR], 3.08, 95% confidence interval [CI], 1.48 to 6.39, model 2: OR, 3.69; 95% CI, 1.73 to 7.90, model 3: OR, 3.58, 95% CI, 1.52 to 8.43). The RCS models suggested a linear relationship between sNfL and periodontitis. The stratified analysis revealed no significant moderating effects (p-value > 0.05). The mediation analysis demonstrated that SA mediated the correlation between sNfL and periodontitis, with a mediation proportion of 10.62%.

CONCLUSIONS

The results point to sNfL being a factor in the heightened risk of periodontitis. Additionally, SA may mediate the changes in periodontitis that are associated with sNfL.

CLINICAL RELEVANCE

sNfL may contribute to the development of periodontitis by mediating changes in SA in humans.

Association between the systemic immune inflammation index and periodontitis: a cross-sectional study

BACKGROUND

Periodontitis is a chronic oral inflammatory disease that seriously affects people's quality of life. The purpose of our study was to investigate the correlation between the systemic immune inflammation index (SII) and periodontitis by utilizing a large national survey. This will establish a reference for the early identification and management of periodontitis.

METHODS

This study comprised the adult US population who participated in a national periodontitis surveillance project during the six years from 2009 to 2014. Through the utilization of univariate and multivariate weighted logistic regression, we investigated the correlation between the systemic immune inflammation index and periodontitis. Additionally, we employed sensitivity analyses to evaluate the robustness of our findings.

RESULTS

The study involved 10,366 participants with an average age of 51.00 years, of whom 49.45% were male (N = 5126) and 50.55% were female (N = 5240). The prevalence of periodontitis is estimated to be about 38.43% in the US adults aged 30 or older population. Our logistic regression models indicated a positive association between a SII higher than 978 × 109/L and periodontitis. The elder group (aged 50 or older) with SII higher than 978 × 109/L demonstrated a significant correlation with periodontitis in the fully adjusted model (Odds Ratio [OR] = 1.409, 95% Confidence Interval [CI] 1.037, 1.915, P = 0.022). However, there is no statistical difference among adults aged 30 to 50. The robustness of our findings was confirmed through sensitivity analyses.

CONCLUSIONS

Our study highlights that SII is associated with periodontitis in a nationally representative sample of US adults. And the SII is significantly associated with a high risk of periodontitis in individuals aged 50 or older.

Association between life's essential 8 and periodontitis: a population-based study

BACKGROUND

The American Heart Association has developed a novel cardiovascular health indicator called Life's Essential 8 (LE8). However, no one has reported using LE8 to assess periodontitis. This study aimed to investigate the association between LE8 and periodontitis in American adults.

METHODS

Data from the National Health and Nutrition Examination Survey (NHANES) from 2009 to 2014 were used for this investigation. LE8 was the independent variable, and it is divided into three grades: high, moderate, and low. Periodontitis was the dependent variable, and the classification of periodontitis was based on the criteria of Eke in 2012. Multivariable logistic regression models were used to explore the relationship between LE8 and periodontitis.

RESULTS

A total of 9,039 participants with an average age of 52.16 ± 14.21 years were enrolled in this study, of whom 48.29% were male and 51.71% were female. The mean and standard deviation of LE8 was 66.29 ± 14.57, and the prevalence of periodontitis was 50.48% overall. The LE8 score and periodontitis in the fully adjusted logistic regression model showed a negative correlation (OR = 0.98; 95% CI, 0.98-0.99, p < 0.001). This result persisted when Life's Essential 8 was categorized into low, moderate, and high groups. Compared with those in the lowest group, those in the highest LE8 group had a 47% decreased risk of periodontitis (OR = 0.53; 95% CI, 0.46-0.66, P < 0.001).

CONCLUSIONS

This cross-sectional investigation revealed a negative relationship between the LE8 score and the likelihood of periodontitis.