Department of Orthodontics, Dental School, Universidade Regional Integrada do Alto Uruguai e das Missões, Erechim, Rio Grande do Sul, Brazil.
Post-Graduate Program in Dentistry, Dental School, University of Passo Fundo, Passo Fundo, Rio Grande do Sul, Brazil.
Am J Orthod Dentofacial Orthop. 2021 Feb;159(2):e179-e185. doi: 10.1016/j.ajodo.2020.09.018. Epub 2021 Jan 20.
The study investigated which patient and orthodontic treatment factors act as predictors for the conclusion of the ongoing treatment in a dental clinic of a specialization program in Orthodontics.
Data were collected from the records of patients treated from 1997 to 2015. Potential predictors for treatment conclusion were investigated: patient-related factors (PRFs) and treatment-related factors (TRFs). PRFs were sex, age, face balance, Angle malocclusion classification, open bite, denture, facial pattern, facial profile, buccal corridor, crossbite, maxillary deficiency, and sagittal mandibular behavior; and TRFs were therapeutic approaches, treatment modality, extractions, and Bolton discrepancy. The initial and final treatment dates were collected. Descriptive data analysis, univariate, and multivariate logistic regression were performed (5% significance).
Of the 903 records, 561 patients were included in the study. It was demonstrated that starting the treatment at a young age (PRF) and the presence of crossbite (TRF) are predictive factors for the treatment conclusion. A vertical facial pattern (dolichofacial or brachyfacial) and a greater number of extractions for orthodontic reasons may contribute positively to the conclusion of the treatment. The frequency of treatment inconclusion was higher during the first 2 years of treatment (more than 50% of the patients that initiated the treatment).
Young age at the beginning of treatment and the presence of crossbite malocclusion can increase the chance of treatment conclusion.
本研究旨在探讨哪些患者和正畸治疗因素可作为正畸专科牙科诊所正在进行的治疗结束的预测因素。
从 1997 年至 2015 年治疗的患者记录中收集数据。研究了治疗结束的潜在预测因素：患者相关因素（PRFs）和治疗相关因素（TRFs）。PRFs 包括性别、年龄、面型平衡、Angle 错颌分类、开颌、义齿、面型、面型轮廓、颊廊、反颌、上颌不足和下颌矢状不调；TRFs 包括治疗方法、治疗方式、拔牙和 Bolton 不调。收集初始和最终治疗日期。进行描述性数据分析、单变量和多变量逻辑回归分析（5%显著水平）。
在 903 份记录中，有 561 名患者纳入研究。结果表明，治疗开始时年龄较小（PRF）和存在反颌（TRF）是治疗结束的预测因素。垂直面型（长面型或短面型）和因正畸原因拔牙较多可能对治疗结束有积极贡献。在治疗的前 2 年，治疗无结论的频率更高（超过 50%的初始治疗患者）。
治疗开始时年龄较小和存在反颌错颌可以增加治疗结束的机会。
