剥皮和根面刨削
辅助
医学
随机对照试验
光动力疗法
慢性牙周炎
孟加拉玫瑰
抗菌剂
牙科
牙周炎
内科学
微生物学
生物
有机化学
化学
哲学
遗传学
语言学
作者
Nivedha Nedumaran,Arvina Rajasekar
出处
期刊:Photobiomodulation, photomedicine, and laser surgery
[Mary Ann Liebert]
日期:2024-07-15
卷期号:42 (8): 561-567
被引量:5
标识
DOI:10.1089/pho.2024.0037
摘要
Aim: The study aims to assess the efficacy of rose bengal (RB)-mediated antimicrobial photodynamic therapy (a-PDT) as an adjunct to scaling and root planing in the management of chronic periodontitis patients in terms of clinical parameters like gingival index (GI), probing pocket depth (PPD), clinical attachment level (CAL), and microbiological parameters like total microbial count, total red complex organism count, Porphyromonas gingivalis count, Treponema denticola count, and Tannerella forsythia count. Materials and Methods: In this randomized controlled clinical trial, a total of 30 patients were recruited who met the inclusion criteria. The participants were randomly allocated into group A with scaling and root planning (SRP) alone and group B with SRP + a-PDT. The clinical and microbiological parameters were measured at baseline and at 3-month follow-up. Intergroup and intragroup comparisons were performed using independent t test and paired t test, respectively. Value of p < 0.05 was considered as statistically significant. Results: At 3-month follow-up, group B treated with SRP + a-PDT showed statistically significant reduction in GI (0.58 ± 0.20) and PPD (1.81 ± 0.32 mm), gain in CAL (0.73 ± 0.04 mm), and reduction in total microbial count [2.80 ± 0.08 × 104 colony forming unit (CFU)], total red complex count (0.29 ± 0.14 × 102 CFU), P. gingivalis count (0.43 ± 0.13 × 102 CFU), T. denticola count (0.61 ± 0.04 × 102 CFU), and T. forsythia count (0.59 ± 0.04 × 102 CFU) as compared with group A (p < 0.05). Conclusion: RB-mediated a-PDT as an adjunct to SRP was significantly more effective in improving GI, PPD, and CAL and in reducing microbial count as compared with SRP alone in the management of chronic periodontitis.
科研通智能强力驱动
Strongly Powered by AbleSci AI