Bidirectional Association between Metabolic Control in Type-2 Diabetes Mellitus and Periodontitis Inflammatory Burden: A Cross-Sectional Study in an Italian Population.
Federica RomanoStefano PerottoSara Elamin Osman MohamedSara BernardiMarta GiraudiPaola CaropresoGiulio MengozziGiacomo BaimaFilippo CitterioGiovanni Nicolao BertaMarilena DurazzoGabriella GrudenMario AimettiPublished in: Journal of clinical medicine (2021)
This study assessed the periodontal conditions of type 2 diabetes (T2DM) patients attending an Outpatient Center in North Italy and explored the associations between metabolic control and periodontitis. Periodontal health of 104 T2DM patients (61 men and 43 women, mean age of 65.3 ± 10.1 years) was assessed according to CDC/AAP periodontitis case definitions and Periodontal Inflamed Surface Area (PISA) Index. Data on sociodemographic factors, lifestyle behaviors, laboratory tests, and glycated hemoglobin (HbA1c) levels were collected by interview and medical records. Poor glycemic control (HbA1c ≥ 7%), family history of T2DM, and C-reactive protein levels were predictors of severe periodontitis. An increase in HbA1c of 1% was associated with a rise in PISA of 89.6 mm2. On the other hand, predictors of poor glycemic control were severe periodontitis, waist circumference, unbalanced diet, and sedentary lifestyle. A rise in PISA of 10 mm2 increased the odds of having HbA1c ≥ 7% by 2%. There is a strong bidirectional connection between periodontitis and poor glycemic control. The inflammatory burden posed by periodontitis represents the strongest predictor of poor glycemic control.
Keyphrases
- glycemic control
- type diabetes
- weight loss
- blood glucose
- end stage renal disease
- physical activity
- chronic kidney disease
- insulin resistance
- cardiovascular disease
- healthcare
- ejection fraction
- body mass index
- oxidative stress
- metabolic syndrome
- newly diagnosed
- public health
- prognostic factors
- peritoneal dialysis
- mental health
- early onset
- machine learning
- risk factors
- patient reported outcomes
- risk assessment
- artificial intelligence
- big data
- climate change