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 m<sup>2</sup>) 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.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-01-16
DOI
https://doi.org/10.3390/ijms26020741
Citations
2
Primary Topic
Oral microbiology and periodontitis research
Type
article
Field-Weighted Citation Impact
2.93

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Amr Sayed Ghanem
2 citations
International Journal of Molecular Sciences
Oral microbiology and periodontitis research
2.93
article

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

Amr Sayed Ghanem
article en
2 citations

Abstract

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 m<sup>2</sup>) 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.

International Journal of Molecular SciencesVol. 26(2)
University of Debrecen (HU)
Nemzeti Kutatási, Fejlesztési és Innovaciós Alap
Good health and well-being
Openalex Percentile: Top 12%
Oral microbiology and periodontitis research
2.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.