Periodontitis Is Associated With Heart Failure: A Population-Based Study (NHANES III)

Yan, Yan; Mao, Min; Li, Yanqin; Chen, Yongji; Yu, Hedong; Xie, Wen-Zhong; Huang, Qiao; Li, Weidong; Xiong, Jie

doi:10.3389/fphys.2022.854606

Cited by 16 publications

(10 citation statements)

References 55 publications

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“…Participants with a higher PIR, higher education levels and who were non‐smokers had a lower prevalence of periodontitis. These findings are consistent with previous studies on periodontitis using NHANES database (Gay et al, 2018; Li et al, 2022; Montero et al, 2019; Yan et al, 2022), highlighting the importance of controlling for covariates when evaluating the relationship between probiotic intake and periodontitis. Additionally, our results indicate that participants without hyperlipidaemia, hypertension or diabetes had significantly lower prevalence of periodontitis, suggesting an association between these conditions and periodontitis.…”

Section: Discussionsupporting

confidence: 92%

Association between probiotic consumption and periodontitis: Evidence from NHANES 2009–2014

Ren,

Xue,

Zhang

et al. 2023

J Clinic Periodontology

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AimThe study aimed to provide evidence of the relationship between probiotics consumption and periodontitis.Materials and MethodsA total of 4577 adults who participated in the National Health and Nutrition Examination Survey (NHANES) during 2009–2014 were included in the study. The weighted prevalence of periodontitis was compared among different groups, and a weighted binary logistic regression analysis was conducted to explore the relationship between probiotic consumption and periodontitis. Receiver operating characteristic (ROC) curves were used to assess the role of probiotic consumption in the periodontitis prediction model.ResultsParticipants who consumed probiotics had a significantly lower prevalence of periodontitis than those who did not (41.08% vs. 27.83%, p < .001). After fully adjusting for all factors, the odds ratio associated with periodontitis for consuming probiotics was 0.70 (95% confidence interval 0.54–0.92, p = .01) when compared with those who did not consume probiotics. A predictive model including age, sex, ethnicity, poverty income ratio, smoking status and probiotics had 77.0% sensitivity and 60.3% specificity in detecting periodontitis in US adults and achieved an area under the ROC curve of 0.749.ConclusionsThese results indicate that consuming probiotics is associated with a reduced risk of periodontitis.

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Section: Discussionsupporting

confidence: 92%

Association between probiotic consumption and periodontitis: Evidence from NHANES 2009–2014

Ren,

Xue,

Zhang

et al. 2023

J Clinic Periodontology

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“…Due to the fact that periodontitis is a common risk factor for heart failure, it is crucial to construct specialized treatment protocols and evaluate the significance of diagnostic accuracy in patients with periodontitis in order to lower the probability of developing heart failure. [41–46] Our research demonstrates that myocardial infarction is a risk factor for heart failure in people with periodontitis. Heart failure is a manifestation of end-stage cardiovascular disease, including myocardial infarction.…”

Section: Discussionmentioning

confidence: 87%

A systematic comparison of machine learning algorithms to develop and validate prediction model to predict heart failure risk in middle-aged and elderly patients with periodontitis (NHANES 2009 to 2014)

Wang,

Xiao,

Zhang

2023

Medicine

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Periodontitis is increasingly associated with heart failure, and the goal of this study was to develop and validate a prediction model based on machine learning algorithms for the risk of heart failure in middle-aged and elderly participants with periodontitis. We analyzed data from a total of 2876 participants with a history of periodontitis from the National Health and Nutrition Examination Survey (NHANES) 2009 to 2014, with a training set of 1980 subjects with periodontitis from the NHANES 2009 to 2012 and an external validation set of 896 subjects from the NHANES 2013 to 2014. The independent risk factors for heart failure were identified using univariate and multivariate logistic regression analysis. Machine learning algorithms such as logistic regression, k-nearest neighbor, support vector machine, random forest, gradient boosting machine, and multilayer perceptron were used on the training set to construct the models. The performance of the machine learning models was evaluated using 10-fold cross-validation on the training set and receiver operating characteristic curve (ROC) analysis in the validation set. Based on the results of univariate logistic regression and multivariate logistic regression, it was found that age, race, myocardial infarction, and diabetes mellitus status were independent predictors of the risk of heart failure in participants with periodontitis. Six machine learning models, including logistic regression, K-nearest neighbor, support vector machine, random forest, gradient boosting machine, and multilayer perceptron, were built on the training set, respectively. The area under the ROC for the 6 models was obtained using 10-fold cross-validation with values of 0 848, 0.936, 0.859, 0.889, 0.927, and 0.666, respectively. The areas under the ROC on the external validation set were 0.854, 0.949, 0.647, 0.933, 0.855, and 0.74, respectively. K-nearest neighbor model got the best prediction performance across all models. Out of 6 machine learning models, the K-nearest neighbor algorithm model performed the best. The prediction model offers early, individualized diagnosis and treatment plans and assists in identifying the risk of heart failure occurrence in middle-aged and elderly patients with periodontitis.

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“…MAPSE lat values in the PG were also well below the age-related reference values [ 96 ]. Yan et al [ 97 ] showed that the incidence of heart failure in patients with moderate/severe periodontitis was markedly higher compared to no or mild periodontitis. Walther et al [ 98 ] reported an association between severe periodontitis and mid-range-reduced EF, but not with HF in general or echocardiographic variables.…”

Section: Discussionmentioning

confidence: 99%

Assessment of the Relationship between Periodontitis and Cardiac Parameters in Patients with Early Chronic Heart Failure: A Cross-Sectional Study

Schulze,

Kwast,

Pökel

et al. 2024

JFMK

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Periodontal disease (PD) is considered a risk factor for cardiovascular events. However, its relationship to chronic heart failure (CHF) is unclear. The aim was to compare cardiac and inflammatory parameters in CHF patients with (PG) versus without periodontitis (NPG). The following parameters were recorded in 58 patients: periodontal screening and recording (PSR), troponin T, NT-proBNP, C-reactive protein (CRP), interleukin-6 (IL-6), blood pressure, heart rate, ejection fraction (EF), ventricular systolic and diastolic function parameters, incremental test, and three questionnaires (Mediterranean Diet Adherence Screener, MEDAS; Oral Health Impact Profile, OHIP-14; Patient Health Questionnaire, PHQ). The serum levels of NT-proBNP and troponin T were significantly higher in the PG, and the left ventricular systolic and diastolic function parameters were significantly lower. The correlation analysis showed age as the only independent risk factor for periodontitis and cardiac biomarkers. No significant group differences were found in the MEDAS, OHIP-14, and PHQ scores, or in CRP, IL-6, and cardiocirculatory parameters. Overall, the BMI correlated significantly with the mean PSR and total cholesterol. The occurrence of increased PSR together with increased age and cardiac risk parameters does not exclude an association between periodontitis and CHF, though no positive correlation was calculated. Periodontitis may be a modifiable risk factor for CHF. Its treatment may help to control the inflammatory burden.

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Periodontitis Is Associated With Heart Failure: A Population-Based Study (NHANES III)

Cited by 16 publications

References 55 publications

Association between probiotic consumption and periodontitis: Evidence from NHANES 2009–2014

Association between probiotic consumption and periodontitis: Evidence from NHANES 2009–2014

A systematic comparison of machine learning algorithms to develop and validate prediction model to predict heart failure risk in middle-aged and elderly patients with periodontitis (NHANES 2009 to 2014)

Assessment of the Relationship between Periodontitis and Cardiac Parameters in Patients with Early Chronic Heart Failure: A Cross-Sectional Study

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