4 research outputs found

    Benign and Malignant Neoplasms Affecting Periodontal Tissues: A Retrospective Study

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    Introduction: Oral neoplasms are the second most common oral lesions after reactive proliferative lesions. The aim of this study is to determine the distribution of the oral neoplasms by gender and age, and briefly discussed the clinical manifestations, diagnosis, and treatments of these lesions. Materials and Methods: To collect the study material, a pathological retrospective archive analysis has been performed and 61 oral neoplasm cases were determined in a total of 423 samples. 61 biopsies and clinical data of patients were studied and classified based on their histopathologic diagnosis, age, gender, and frequency. Results: In our study, a total of 61 neoplastic lesions were examined, and the mean age was 45.5 ±18.2. The most common lesion in the oral neoplastic lesion is leukoplakia (n=15, 24.59%). This is followed by squamous cell carcinoma (SCC) (n =13, 21.31%) and squamous papilloma (n =11, 18.03%). The rest are gingival granular cell tumor, hemangioma, odontoma, lipoma, mucosal nevus, myxoma, ameloblastoma, leukemia, melanoma, lymphoma, and osteosarcoma. Conclusion: This study provided important data on the frequency and histological distribution of oral benign and malign neoplasms. This study also highlights the diagnosis, and management of these oral neoplasms for the dentists

    Impact of Non-Surgical Periodontal Treatment of Generalized Chronic Periodontitis on Quality of Life

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    Aim: In recent years, after treatments variety of measurement scales are used to record the extent and impact of the treatment on quality of patient’s life. Among these scales, Oral Health Impact Profile (OHIP-49) and a shorter version of that OHIP-14 are the most comprehensive, accessible and common ones. Our aim was to evaluate the effect of non-surgical periodontal therapy on quality of generalized chronic periodontitis patients’ life by using the Turkish version of the OHIP-14 scale (OHIP-14-TR). Method: 58 patients (37 men and 21 women) diagnosed with generalized chronic periodontitis and requiring non-surgical periodontal therapy were recruited in this study. All patients were asked to fill in a form containing demographic, socio-economic information, reason of dental visit and oral hygiene habits. Clinical periodontal parameters (Plaque index (PI), gingival index (GI), probing pocket depth (PPD), clinical attachment loss (CAL), and bleeding on probing (BOP)) were recorded at baseline, and one month after treatment. Non-surgical periodontal treatment containing scaling and root planning was performed during one week in two seperate sessions. OHIP-14-TR questionnaires have been filled out before and after treatment. Results: There were significant decreases in all periodontal parameters and OHIP-14-TR one month after non-surgical periodontal treatment (p0.05). Significant positive correlation was found between physical pain, and BOP and PPD. After periodontal treatment, BOP, PPD, and physical pain decreased. Conclusion: According the results of this study, it was revealed that non-surgical periodontal treatment was effective in improving the quality of life of patients

    Salivary and serum oxidative stress biomarkers and advanced glycation end products in periodontitis patients with or without diabetes: A cross-sectional study

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    Background Non-invasive methods for periodontitis diagnosis would be a clinically important tool. This cross-sectional study aimed to investigate the association between oxidative stress, glycation, and inflammation markers and periodontal clinical parameters in periodontitis and periodontally healthy patients with type 2 diabetes and corresponding systemically healthy controls. Material and methods Sixty-seven periodontally healthy (DM-H, n = 32) and periodontitis (DM-P, n = 35) patients with type 2 diabetes, and 54 systemically healthy periodontitis (H-P, n = 26) and periodontally healthy (H-H, n = 28) controls were included. Clinical periodontal parameters, body mass index, fasting glucose, hemoglobin A1c (HbA1c), along with saliva and serum 8-hydroxy-2 '-deoxyguanosine (8-OHdG), malondialdehyde (MDA), 4-hydroxy-2-nonenal (4-HNE), advanced glycation end products (AGE), AGE receptor (RAGE) and high sensitivity C-reactive protein (hsCRP) levels were recorded and analyzed. Results Salivary 8-OHdG levels were significantly higher in periodontitis compared to periodontally healthy patients, regardless of systemic status (P < 0.001). Salivary MDA levels were significantly higher in all disease groups compared to H-H group (P <= 0.004). Serum AGE levels were significantly higher in diabetic groups than systemically healthy groups (P < 0.001) and in H-P compared to H-H (P < 0.001). Bleeding on probing (BOP) and clinical attachment level (CAL) strongly correlated with salivary 8-OHdG and serum hsCRP (P < 0.001). In systemically healthy patients, salivary 8-OHdG was the most accurate marker to differentiate periodontitis from controls (AUC = 0.84). In diabetics salivary 4-HNE and RAGE were the most accurate (AUC = 0.85 for both). Conclusion Salivary 8-OHdG alone or in combination with 4-HNE, AGE and RAGE for diabetics, and salivary 8-OHdG alone or in combination with MDA and hsCRP for systemically healthy persons, could potentially serve as non-invasive screening marker(s) of periodontitis.Ankara University Scientific Research Projects Office, Ankara, Turkey [12B3334002]; Ankara University Department of Periodontology and Department of Endocrinology; Ohio State University Division of PeriodontologyThis study was supported by the Ankara University Scientific Research Projects Office, Ankara, Turkey (12B3334002). The authors declare that they have no conflicts of interest.; Ankara University Department of Periodontology and Department of Endocrinology; Ohio State University Division of Periodontolog

    Salivary and serum oxidative stress biomarkers and advanced glycation end products in periodontitis patients with or without diabetes: A cross-sectional study.

    No full text
    Background: Non-invasive methods for periodontitis diagnosis would be a clinically important tool. This cross-sectional study aimed to investigate the association between oxidative stress, glycation, and inflammation markers and periodontal clinical parameters in periodontitis and periodontally healthy patients with type 2 diabetes and corresponding systemically healthy controls. Material and methods: Sixty-seven periodontally healthy (DM-H, n = 32) and periodontitis (DM-P, n = 35) patients with type 2 diabetes, and 54 systemically healthy periodontitis (H-P, n = 26) and periodontally healthy (H-H, n = 28) controls were included. Clinical periodontal parameters, body mass index, fasting glucose, hemoglobin A1c (HbA1c), along with saliva and serum 8-hydroxy-2′-deoxyguanosine (8-OHdG), malondialdehyde (MDA), 4-hydroxy-2-nonenal (4-HNE), advanced glycation end products (AGE), AGE receptor (RAGE) and high sensitivity C-reactive protein (hsCRP) levels were recorded and analyzed. Results: Salivary 8-OHdG levels were significantly higher in periodontitis compared to periodontally healthy patients, regardless of systemic status (P < 0.001). Salivary MDA levels were significantly higher in all disease groups compared to H-H group (P ≤ 0.004). Serum AGE levels were significantly higher in diabetic groups than systemically healthy groups (P < 0.001) and in H-P compared to H-H (P < 0.001). Bleeding on probing (BOP) and clinical attachment level (CAL) strongly correlated with salivary 8-OHdG and serum hsCRP (P < 0.001). In systemically healthy patients, salivary 8-OHdG was the most accurate marker to differentiate periodontitis from controls (AUC = 0.84). In diabetics salivary 4-HNE and RAGE were the most accurate (AUC = 0.85 for both). Conclusion: Salivary 8-OHdG alone or in combination with 4-HNE, AGE and RAGE for diabetics, and salivary 8-OHdG alone or in combination with MDA and hsCRP for systemically healthy persons, could potentially serve as non-invasive screening marker(s) of periodontitis. © 2020 American Academy of Periodontolog
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