Comparative evaluation of the effectiveness of coronally positioned flap with or without acellular dermal matrix allograft in the treatment of multiple marginal gingival recession defects.

Autor: Thombre V; Department of Periodontology and Implantology, Sharad Pawar Dental College and Hospital, Datta Meghe Institute of Medical Sciences (Deemed University), Maharashtra, India., Koudale SB, Bhongade ML
Jazyk: angličtina
Zdroj: The International journal of periodontics & restorative dentistry [Int J Periodontics Restorative Dent] 2013 May-Jun; Vol. 33 (3), pp. e88-94.
DOI: 10.11607/prd.1371
Abstrakt: Gingival recession remains an important problem in dental esthetics. Various surgical techniques have been proposed for treating multiple gingival recessions. The objective of this study was to evaluate and compare the effectiveness of a coronally positioned flap (CPF) with or without acellular dermal matrix allograft (ADMA) in the treatment of multiple marginal tissue recession. Twenty patients with a mean age of 31.6 years presented with 43 buccal/labial multiple recession defects (Miller Class I/II). Ten patients each were randomly assigned to one of two treatment groups: group 1 (ADMA) or group 2 (CPF). The clinical parameters gingival recession (GR), probing pocket depth (PD), clinical attachment level (CAL), and width of the keratinized gingiva (KG) were recorded before surgery and 6 month postsurgery. The mean baseline recession defect was 3.0 mm for group 1 and 2.8 mm for group 2. After 6 months, both treatments resulted in significant root coverage (P < .01), reaching an average of 2.7 mm (90%) in group 1 and 1.8 mm (66%) in group 2. The difference in recession reduction between treatments was statistically significant. There were no statistically significant differences between the treatments in PD and KG. CAL gain (3.0 mm) was significantly higher in group 1 compared with group 2 (2.0 mm). The results of this study demonstrate that ADMA with a CPF is an effective procedure for the treatment of multiple gingival recessions.
Databáze: MEDLINE