Determination of the Stage of Periodontitis with 20 ng/mL Cut-Off aMMP-8 Mouth Rinse Test and Polynomial Functions in a Mobile Application DOI Creative Commons

Miika Penttala,

Timo Sorsa,

Julie Toby Thomas

et al.

Diagnostics, Journal Year: 2025, Volume and Issue: 15(11), P. 1411 - 1411

Published: June 2, 2025

Background: We propose a framework for determining the stage of periodontitis in personalized medicine context, building on our previously developed model detection. In this study, we improved earlier by incorporating additional components to form comprehensive system identifying both presence and periodontitis. Central home-use application is an active-matrix metalloproteinase-8 (aMMP-8) mouth rinse test (cut-off: 20 ng/mL), integrated with software delivered via mobile application. Methods: First, using all data, modeled single polynomial function distinguish healthy I patients from II III patients. Second, used already published detection separate Third, one more was created that divided each other. All functions were multiple logistic regression analysis patient which consisted 149 adult visiting dental offices Thessaloniki, Greece. Results: The complete demonstrated sensitivity 95.8% (95% CI: 92.1–99.4%) specificity 71.0% 55.0–86.9%) detecting Among those identified periodontitis, correct determined 61.1% cases, stage-specific accuracies 64.3% I, 60.5% II, 60.9% III. testing performed data formed. Conclusions: results study showed sufficient analysis, can be simultaneously identify Overall, generated, aMMP-8 result cut-off value ng/mL, Visible Plaque Index (VPI) information patient’s teeth number present found important factors determine manner everyone use.

Language: Английский

Consensus Report of the 20th European Workshop on Periodontology: Contemporary and Emerging Technologies in Periodontal Diagnosis DOI Creative Commons
David Herrera, Maurizio S. Tonetti, Iain Chapple

et al.

Journal Of Clinical Periodontology, Journal Year: 2025, Volume and Issue: unknown

Published: May 4, 2025

This Consensus Workshop dealt with diagnostic methodologies in the context of surveillance, screening, assessment stage and grade, prognosis, monitoring prediction periodontal status. Several elements provided impetus for workshop, including limited quality available research on tests, rapid development new technologies, implementation 2018 classification declarations World Health Organisation diagnosis oral health. To update evaluate evidence methods, considering recent advances knowledge classification. The European Committee Federation Periodontology guided a consensus report after commissioning eight systematic reviews within three working groups. were discussed during in-person meeting involving 70 participants from 21 different countries. Working Group 1 innovations traditional approaches, justified manual probing as reference standard assessed value image-based methods. 2 analysed tests based microbial host biomarkers genetic tests. 3 covered emerging technologies to be used dental non-dental clinical settings, focusing principally impact questionnaire-based assessments artificial intelligence systems (AIS) interpreting data modalities. Although is firmly established standard, additional approaches imaging, biomarkers, genetics, questionnaires applied science methods (e.g., AIS) are increasingly integrated diagnostics.

Language: Английский

Citations

1
Effects of Non-Surgical Periodontal Therapy on Glycemic Control in Prediabetes and Diabetes Patients with Stage II–IV Periodontitis as Monitored by Active-Matrix Metalloproteinase-8 Levels DOI Creative Commons
Kehinde Adesola Umeizudike, Solomon O. Nwhator,

O. J. Olaoye

et al.

Biomedicines, Journal Year: 2025, Volume and Issue: 13(4), P. 969 - 969

Published: April 16, 2025

Background/Objectives: Previous research indicates that non-surgical periodontal therapy (NSPT) improves glycemic control in individuals with prediabetes and diabetes who have periodontitis. Few studies demonstrated its effects on mouthrinse active-matrix metalloproteinase-8 (aMMP-8) levels as it relates to control. We assessed the treatment response of stage II–IV periodontitis patients prediabetes, diabetes, normoglycemia, regarding glycated hemoglobin (HbA1c) aMMP-8 using point-of-care kits (PoC). Materials Methods: Eighty-eight adults (11 normoglycemic, 32 prediabetic, 45 type 2 diabetes), aged 25–78, were included. Full-mouth clinical examinations used evaluate their parameters. HbA1c PoC before approximately three months after scaling root planing. Results: There positive parameters, groups. The reduction was significant (p < 0.001) + groups, while decreased significantly In contrast, a non-significant increase mean levels, HbA1c, CAL observed normoglycemia > 0.05). Stage III IV showed for 0.01) compared II, regardless status. Conclusions: Non-surgical health well people living diabetes.

Language: Английский

Citations

0
Diagnostic Accuracy of Matrix Metalloproteinase‐8 for Detecting Periodontal Disease: A Meta‐Analysis DOI
Dong Zhang, Chao Xu,

Mengmeng Liang

et al.

Oral Diseases, Journal Year: 2025, Volume and Issue: unknown

Published: May 23, 2025

ABSTRACT Background Matrix metalloproteinase‐8 (MMP‐8) serves as a biomarker for periodontal diseases; numerous studies have demonstrated its diagnostic accuracy in detecting both periodontitis and gingivitis. Methods A comprehensive search was performed up to 25 March 2025. Observational investigating MMP‐8's potential disease gingivitis were included. Pooled sensitivity, specificity, area under the receiver operating characteristic curve (AUC) calculated using Stata 15.1, with measures reported point estimates 95% confidence intervals (CI). Results The meta‐analysis included 22 encompassing 2492 participants. robust performance of MMP‐8 disease, sensitivity 0.83 (95% CI: 0.78–0.87), specificity 0.77 0.71–0.83), AUC 0.87 0.84–0.90). Subgroup analysis revealed superior immunofluorometric assay (IFMA), showing higher (0.88) (0.77) compared enzyme‐linked immunosorbent (ELISA, sensitivity/specificity = 0.84/0.76) point‐of‐care testing (POCT, 0.73/0.64). Biological sample comparisons identified gingival crevicular fluid optimal source, achieving significantly (AUC 0.91) than mouth rinse 0.89) or saliva 0.76). Conclusion Our findings that gingivitis, detection methods—IFMA, ELISA, POCT—showing context‐dependent applicability across clinical settings.

Language: Английский

Citations

0
Determination of the Stage of Periodontitis with 20 ng/mL Cut-Off aMMP-8 Mouth Rinse Test and Polynomial Functions in a Mobile Application DOI Creative Commons

Miika Penttala,

Timo Sorsa,

Julie Toby Thomas

et al.

Diagnostics, Journal Year: 2025, Volume and Issue: 15(11), P. 1411 - 1411

Published: June 2, 2025

Background: We propose a framework for determining the stage of periodontitis in personalized medicine context, building on our previously developed model detection. In this study, we improved earlier by incorporating additional components to form comprehensive system identifying both presence and periodontitis. Central home-use application is an active-matrix metalloproteinase-8 (aMMP-8) mouth rinse test (cut-off: 20 ng/mL), integrated with software delivered via mobile application. Methods: First, using all data, modeled single polynomial function distinguish healthy I patients from II III patients. Second, used already published detection separate Third, one more was created that divided each other. All functions were multiple logistic regression analysis patient which consisted 149 adult visiting dental offices Thessaloniki, Greece. Results: The complete demonstrated sensitivity 95.8% (95% CI: 92.1–99.4%) specificity 71.0% 55.0–86.9%) detecting Among those identified periodontitis, correct determined 61.1% cases, stage-specific accuracies 64.3% I, 60.5% II, 60.9% III. testing performed data formed. Conclusions: results study showed sufficient analysis, can be simultaneously identify Overall, generated, aMMP-8 result cut-off value ng/mL, Visible Plaque Index (VPI) information patient’s teeth number present found important factors determine manner everyone use.

Language: Английский

Citations

0