Relationship Between Periodontal Status and Cardio Ankle Vascular Index in Short-term Type 2 Diabetic or Systemically Healthy Patients With or Without Severe Periodontitis
Relationship Between Periodontal Status and Cardio Ankle Vascular Index in Short-term Type 2 Diabetic or Systemically Healthy Patients With or Without Severe Periodontitis
Studies were found that a significant relationship between the severe periodontitis and increased CAVI values. While the exact mechanisms linking periodontitis, type 2 diabetes, and cardiovascular disease are not yet fully understood, it is clear that these diseases are interconnected. There are limited data in the literature evaluating the risk of atherosclerosis in diabetic individuals with periodontal disease. In our survey, we hypothesised that severe periodontitis may be a risk factor for the development of subclinical atherosclerosis among people with type 2 diabetes. Thus, we aimed to investigate the potential risk of subclinical atherosclerosis by using a new surrogate marker CAVI in severe periodontitis patients with short-term diabetes.
Short-term diabetic subjects were selected from patients diagnosed with type 2 diabetes for less than 5 years recruited from those patients attending to the outpatient clinic at the Department of Endocrinology in University Hospital. Medical conditions of SH subjects were determined with detailed systemic examinations and biochemical analyses were performed in the Department of Endocrinology.
The periodontal status of patients was determined based on the Classification of Periodontal and Peri-Implant Diseases and Conditions stated in 2017 World Workshop. Periodontally health was considered if the volunteers have clinically healthy gingiva on an intact periodontium who had BOP < 10% and PD ≤ 3 mm, no sites with attachment loss, no radiographic sign of alveolar bone destruction and no history of periodontitis. Patients with severe periodontitis were defined if they had interdental CAL ≥ 5 mm, PD ≥ 6 mm and radiographic bone loss extending to the mid-third of the root or beyond.
Assessment of participants included in this study in terms of arterial stiffness was determined by CAVI index. Right and left CAVI values were calculated separately, and their mean value was used for the analysis. Besides the mean CAVI values, the CAVI values were categorized. CAVI ≥ 8 was considered conditionally pathological, while CAVI ≥ 9 was defined as pathologic.
Various metabolic variables of the participants were collected at baseline to eliminate previously reported confounding factors as being associated with periodontitis and arterial stiffness. The body mass index (BMI) was calculated by taking the weight, in kilograms divided by the height in meters squared. BMI ≥ 25 kg/m2 was defined as overweight and BMI ≥ 30 kg/m2 as obese. Waist circumference (WC) was also recorded. Medical conditions were analysed by hematologic results. Glycated haemoglobin (HbA1c) and fasting plasma glucose (FPG) were assessed for the glycemic control levels of the participants. Also, dyslipidaemia and hyperlipidaemia were evaluated by the measurements of low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglyceride (TRG) and total cholesterol (TK) levels. Systolic (SBP) and diastolic blood pressure (DBP) was measured and SBP ≥ 140 mmHg or DBP ≥ 90 mmHg was defined as hypertension and excluded from the study population. C-reactive protein (CRP) levels of the participants were also evaluated at the beginning of the study.
The power analyse of the study was performed for sample size calculation. Sample size was calculated using the G*Power software program (G*Power; Universitat, Dusseldorf, Germany) for α = 0.05 and f = 0.3. The analyses revealed that 32 subjects per group achieved a power of 80 % with 95% confidence.
The data were analysed with the SPSS 21 program (SPSS Inc., Chicago, IL). Continuous variables were presented as mean ± standard deviation and categorical variables as numbers and percentages. Shapiro-Wilk test was used to detect data's normality. For the comparison of the parameters of the study groups, One-way ANOVA test was used for normally distributed data while Kruskal-Wallis test was performed as non-parametric test. Chi-square test was used for the comparison of the categorical variables. Statistical significance value was considered as p < 0.05.
Inclusion Criteria:
Exclusion Criteria: