Page 66 - Demo

Chapter 464(drainage) was followed by a 5-day oral course of 500 mg amoxicillin three times a day. The number of postoperative visits, type and amount of analgesic, type and amount of antibiotics, and operative intervention were documented.A diagnosis of AO was established if there was new onset or increasing pain more than 36 hours after removal of the mandibular third molar in combination with an absence of the hematic clot in the socket, resulting in exposed bone. A putrid smell may be present in combination with intense neuralgic type pain. Gentle probing or irrigation of the wound aggravated the pain. All elements needed to be present for the diagnosis of AO. If AO was diagnosed, it was managed by wound care (gentle saline irrigation), an iodine tampon dressing, and oral analgesics. The patient returned for follow-up daily until the symptoms were adequately controlled. The number of postoperative visits and type and amount of analgesic prescribed were documented. The outcome variable was characterized as a binary outcome, as the presence or absence of complications.Data managementData were collected and imported into a database. The demographic variables were age and gender (male/female). Age was computed in years as the difference between the date of operation and the subject’s date of birth. The Gregory and Pell classification of M3 position was used to describe the degree and type of mandibular third molar impaction.34Sample size calculationA power calculation was performed using G*Power 3.1.9.2.38 Using a pairedsamples t-test, an alpha of 5%, a power of 90%, two-tailed testing and an effect size of 0.5 (a moderate effect size was used since the effect should be clinically relevant) results in a total sample size of 44 patients. Given possible drop-outs (related to the longitudinal character of the study) a sample size of at least 50 patients was aimed for.Statistical analysisConventional descriptive statistics were used to characterize the sample. The chi2 test was used to examine associations between categorical variables. Mean