2021 Prilozi (Makedonska akademija…

Diagnostic and Prognostic Markers of Periodontal Disease.

, , , , ,

Prilozi (Makedonska akademija na naukite i umetnostite. Oddelenie za medicinski nauki) Vol. 42 (3) : 89-95 • Dec 2021

Aim of the study: The aim of this study is to determine the values of salivary enzyme biomarkers (alkaline phosphatase - ALP, aspartate aminotransferase - AST and lactate dehydrogenase - LDH) in subjects with healthy and diseased periodontium and to investigate the possibility of using these salivary enzymes as diagnostic and prognostic markers. Methods: We collected saliva with the spitting method from all examinees in the morning, using the recommendations provided by Navazesh. The values of the enzymes in saliva were determined spectro-photometrically, with the following methods: ALP-IFCC, AST-IFCC, LDH-PYRUVATE. IGI Silness-Loe was used to determine the presence of gingival inflammation, and to determine the presence of clinically manifest periodontitis, we determined the clinical loss of periodontal attachment with a graduated periodontal probe. For statistical purposes, we used the method of ANOVA Chi Square and Student's t-test. Results: The difference in the average salivary AST and LDH values between the first and the second group, as well between the first and third group is statistically significant (p < 0.000). The difference in the average salivary AST and LDH values between the examinees with gingivitis and the examinees with clinically manifest periodontal disease is statistically insignificant (p < 0.485101 for AST, p < 0.816665 for LDH). The difference in the average salivary levels of ALP between the three groups is statistically significant (p < 0.000). Conclusion: The salivary levels of AST, LDH, and ALP can be used as diagnostic markers, while ALP can also be used as a prognostic marker for periodontal disease.

No clinical trial protocols linked to this paper

Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.
PICO Elements

No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.

Paper Details
MeSH Terms
Associated Data

No associated datasets or code repositories found for this paper.

Related Papers

Related paper suggestions will be available in future updates.