Higher frequency of specific periodontopathogens in hypertensive patients. A pilot study.
Taciane Menezes da SilveiraCaroline Fernandes E SilvaRodrigo de Almeida VaucherPatrícia Daniela Melchiors AngstMaísa CasarinNatália Marcumini PolaPublished in: Brazilian dental journal (2022)
Periodontitis and arterial hypertension are two of the pathologies with the highest global prevalence; evidence reported so far has been favorable to an association between them. This cross-sectional study aimed to evaluate and compare the microbiological counts of hypertensive and normotensive patients with periodontitis. Sociodemographic, behavioral, systemic health data and periodontal clinical parameters were assessed. Counts of A. actinomycetemcomitans, P. intermedia, P. gingivalis and F. nucleatum were performed by real-time polymerase chain reaction using subgingival biofilm samples. Thirty-eight patients were included in this preliminary analysis, divided into two groups: Normotensive Group (NG) (n = 14) and Hypertensive Group (HG) (n = 24). Patients diagnosed with periodontitis composed both groups. Data analysis was performed with significance level of 5%. There was no significant difference between groups for clinical periodontitis diagnosis. In addition, hypertensive individuals had higher P. intermedia, P. gingivalis, and F. nucleatum counts when compared to normotensive individuals. The parameters probing pocket depth, bleeding on probing, and A. actinomycetemcomitans count did not presented statistical differences between groups. With these preliminary results, it can be concluded that the presence of arterial hypertension may be associated with a greater quantity of periodontopathogenic bacterial of some species in individuals with periodontitis.
Keyphrases
- blood pressure
- arterial hypertension
- data analysis
- end stage renal disease
- ejection fraction
- newly diagnosed
- hypertensive patients
- healthcare
- public health
- peritoneal dialysis
- mental health
- risk assessment
- single molecule
- escherichia coli
- cystic fibrosis
- atrial fibrillation
- deep learning
- optical coherence tomography
- patient reported