BACKGROUND: The fruit of the Terminalia chebula tree has been widely used for the treatment of various disorders. Its anti-diabetic, anti-mutagenic, anti-oxidant, anti-bacterial, anti-fungal, and anti-viral effects have been studied. Dental plaque bacteria (DPB) are intimately associated with gingivitis and periodontitis. In the quest for materials that will prove useful in the treatment and prevention of periodontal disease, we investigated the preventive effects of an ethanol extract of Terminalia chebula (EETC) on DPB-induced inflammation and bone resorption.
BACKGROUND: The prevalence of diabetes mellitus, or DM, in the United States is increasing steadily. The increasing longevity of the American population and more effective diagnostic protocols mean that the dental practitioner will be treating an increasing number of patients with the disease. METHODS: The authors present relevant information about DM, including a recently revised nomenclature system, pathophysiology, complications, new diagnostic criteria, medical and dental management considerations, and associated oral conditions.
The International Journal of Oral & Maxillofacial Implants
This patient report concerns etiologic factors leading to a failed natural dentition, masticatory function, and poor dental esthetics in a 30-year-old woman. The surgical and restorative treatment provided for the patient was designed to address her dental phobia, location of residence, and debilitated oral condition.
Many uses of hypnosis in dentistry have been described in the literature including anesthesia, analgesia, anxiety management, treatment for bruxism, to control gagging, and the alteration of salivary flow and bleeding control during treatment. However, very few references have been made specifically regarding the use of hypnosis with patients who have periodontal disease, a wide spread chronic inflammatory disease affecting the oral cavity of about 80% of the population.
Periodontal diseases continue to be most commonly occurring oral diseases in modern times. Many therapeutic modalities have been tried and tested to relieve these problems. The conventional therapy--scaling and root planing (SRP)--stands out to be the most used mode of treatment, and other treatments remain applicable as adjuncts to SRP, including acupuncture, acupressure, and aromatherapy. The present article discusses the applications of the abovementioned therapeutic modes and their relevance in current scenarios.
BACKGROUND: Ayurveda, an ancient medical science originating in India, also is practiced in the United States. The authors conducted a study primarily to explore the involvement of Ayurvedic practitioners in treating oral diseases. METHODS: Eighty-five practitioners participated in this cross-sectional survey. The authors obtained self-reported data on demographics of the practitioners, the general and oral health conditions they treated, and the treatment modalities used. They performed descriptive statistical and logistic regression analyses by using statistical software.
Although the main reservoir of Candida spp. is believed to be the buccal mucosa, these microorganisms can coaggregate with bacteria in subgingival biofilm and adhere to epithelial cells. The treatment of periodontal disease includes scaling and root planning (SRP) associated with proper oral hygiene. However, some patients may have negative responses to different therapeutic procedures, with a continuous loss of insertion, so the use of antimicrobials is needed as an adjuvant to SRP treatment.
Few studies have prospectively examined predictors of change in plasma concentrations of 25-hydroxyvitamin D [25(OH)D]. We sought to determine the predictors of 5-y change in 25(OH)D. Plasma 25(OH)D concentrations were assessed at baseline (1997-2000) and 5 y later (2002-2005) in 668 postmenopausal women enrolled in the Osteoporosis and Periodontal Disease Study. Baseline and changes in demographic, dietary, lifestyle, and health-related factors were tested as predictors of change in 25(OH)D concentrations by using multivariable linear regression.