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Ability of gingival crevicular fluid volume, E‐cadherin, and total antioxidant capacity levels for predicting outcomes of nonsurgical periodontal therapy for periodontitis patients
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Abstract<sec><title>Objectives

To determine the potential of gingival crevicular fluid (GCF) volume, E‐cadherin and total antioxidant capacity (TAC) levels to predict the outcomes of nonsurgical periodontal therapy (NSPT) for periodontitis patients.

Background

NSPT is the gold‐standard treatment for periodontal pockets < 6 mm in depth, however, successful outcomes are not always guaranteed due to several factors. Periodontitis‐associated tissue destruction is evidenced by the increased level of soluble E‐cadherin and reduced antioxidants in oral fluids which could be used as predictors for success/failure of NSPT.

Materials and Methods

Patients with periodontitis (n = 24) were included in this clinical trial and full‐mouth periodontal charting was recorded for each patient. GCF samples from periodontal pockets with probing pocket depth (PPD) 4–6 mm from the interproximal surfaces of anterior and premolar teeth were obtained. These sites subsequently received NSPT and were clinically re‐evaluated after 1 and 3 months. Levels of GCF E‐cadherin and TAC levels were assayed using ELISA.

Results

All clinical periodontal parameters were significantly improved 3 months after completion of NSPT. These outcomes were associated with a significant decrease in E‐cadherin levels and GCF volume, while TAC levels were significantly increased in samples obtained in follow‐up appointments. Binary regression model analysis showed that PPD, GCF volume, E‐cadherin, and TAC levels could significantly (p < .05) predict the outcomes of NSPT. The cut‐off points for PPD, GCF volume, E‐cadherin and TAC were 5 mm, 4 × 10−3, 1267.97 pg/mL and 0.09 μmol/g, respectively.

Conclusion

NSPT improved clinical parameters along with increased antioxidants capacity and epithelial pocket lining integrity. Discrimination of favorable/unfavorable responsiveness of periodontally diseased sites to NSPT could be possible by using GCF volume, PPD, E‐cadherin and TAC level assessments.

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Publication Date
Tue Dec 01 2020
Journal Name
Journal Of Engineering
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Flexible pavements are considered an essential element of transportation infrastructure. So, evaluations of flexible pavement performance are necessary for the proper management of transportation infrastructure. Pavement condition index (PCI) and international roughness index (IRI) are common indices applied to evaluate pavement surface conditions. However, the pavement condition surveys to calculate PCI are costly and time-consuming as compared to IRI. This article focuses on developing regression models that predict PCI from IRI. Eighty-three flexible pavement sections, with section length equal to 250 m, were selected in Al-Diwaniyah, Iraq, to develop PCI-IRI relationships. In terms of the quantity and severity of eac

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Publication Date
Sat Jan 01 2022
Journal Name
Aip Conference Proceedings
Artificial neural network model for predicting the desulfurization efficiency of Al-Ahdab crude oil
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Publication Date
Tue Aug 01 2023
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Phytochemical composition, total phenolic content and antioxidant activity of Anadara granosa (Linnaeus, 1758) collected from the east coast of South Sumatra, Indonesia
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Publication Date
Wed Dec 30 2015
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Al-kindy College Medical Journal
Subclinical Hypothyroidism in Obese Iraqi Patients Attending Obesity Research and Therapy Unit
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Publication Date
Fri Nov 29 2024
Journal Name
The Iraqi Geological Journal
Data Driven Approach for Predicting Pore Pressure of Oil and Gas Wells, Case Study of Iraq Southern Oilfields
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Sat Dec 01 2018
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The Computational Fluid Dynamic Simulations for Gangrene Disease in Diabetic Foot
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