气道阻塞
牵张成骨
皮埃尔-罗宾综合征
分散注意力
气道
序列(生物学)
医学
口腔正畸科
心理学
外科
生物
认知心理学
遗传学
作者
Amanda Lucas da Costa,Denise Manica,Cláudia Schweiger,Gabriel Kuhl,Leo Sekine,Simone Chaves Fagondes,Marcus Vinícius Martins Collares,Paulo José Cauduro Maróstica
标识
DOI:10.1016/j.jcms.2018.05.030
摘要
The optimal surgical technique for the management of patients with Robin Sequence (RS) has not been established. One of the most commonly used surgical techniques, mandibular distraction osteogenesis (MDO), is still controversial because of its potential risks and the lack of clear evidence of its efficacy.To assess variations in airway patency, clinical symptoms, and polysomnographic parameters in children with RS who underwent MDO.In this prospective cohort study, 38 patients with RS were evaluated before and after MDO. Symptom severity was classified using a grading scale for RS clinical manifestations. Patients underwent flexible fiberoptic laryngoscopy, and the images were classified by a blinded examiner using two validated grading scales for airway obstruction. Patients not requiring ventilatory support underwent a polysomnography.Patients' symptoms significantly improved after MDO, as shown by a decreased score in the grading scale for RS clinical manifestations (preoperative score of 2.20 vs. postoperative score of 0.81; P < 0.001). The two endoscopic grading scales also showed a statistically significant postoperative improvement in airway obstruction (first scale: preoperative score of 1.56 vs. postoperative score of 0.92; second scale: preoperative score of 2.19 vs. postoperative score of 1.16; P < 0.001 for both). Moreover, there was a statistically significant variation in the following polysomnographic parameters evaluated pre- and postoperatively: apnea-hypopnea index, total sleep time, oxygen desaturation nadir, and oxygen desaturation index (P < 0.05).MDO seems to be an effective surgical option for children, as shown by postoperative improvements in clinical symptoms, endoscopic grading scales, and polysomnographic parameters.
科研通智能强力驱动
Strongly Powered by AbleSci AI