Cephalometry and prediction of oral appliance treatment outcome

Cephalometry and prediction of oral appliance treatment outcome
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DOI:
10.1007/s11325-011-0484-2
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发表时间:
2012-03-01
影响因子:
2.5
通讯作者:
Cistulli, Peter A.
Cistulli, Peter A.
中科院分区:
医学4区
文献类型:
--
作者:
Ng, Andrew Tze Ming;Darendeliler, M. Ali;Cistulli, Peter A.

文献摘要

被引文献

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预测哪些阻塞性睡眠呼吸暂停(OSA)患者将成功地使用下颌推进夹板(MAS)治疗仍然是难以捉摸的。开发简单的白天测量和测试来预测治疗结果将提高MAS的治疗效果。本研究的目的是评估拟人学测量和头影测量在预测OSA的MAS治疗结果中的临床应用。对72名在第三次转诊睡眠诊所就诊的OSA患者的人体测量和头影测量进行了回顾分析。治疗反应定义为呼吸暂停/低通气指数(AHI;标准1)减少千分之几;AHI减少50%,残留AHI<20/h(标准2);AHI减少50%,AHI低于10/h(标准3);AHI减少千分之一,AHI减少50%,AHI低于5/h(标准4)。这样做是为了反映文献中对治疗成功的临床定义的差异。根据标准1,有效率为56%(40例);标准2为54%(39例);标准3为46%(33例);标准4为39%(28例)。年龄和性别是标准1和标准2的显著预测因素。年龄和软腭长是标准3和标准4的显著预测因素。这项研究补充了目前的文献,并暗示MAS的成功(在某种程度上)与解剖学特征有关。
Predicting which patients with obstructive sleep apnea (OSA) will be successfully treated with mandibular advancement splints (MAS) remains elusive. Developing simple daytime measurements and tests to predict treatment outcome would enhance MAS treatment.The purpose of this study was to assess the clinical utility of anthropomorphic measurements and cephalometric X-rays in the prediction of MAS treatment outcome in OSA.Anthropomorphic measurements and cephalometric X-rays from 72 OSA patients who had presented to a tertiary referral sleep clinic were analyzed retrospectively.Treatment response was defined as a parts per thousand yen50% reduction in Apnea/Hypopnea Index (AHI; criterion 1); a parts per thousand yen50% reduction and residual AHI less than 20/h (criterion 2); a parts per thousand yen50% reduction in AHI and residual AHI less than 10/h (criterion 3); and a parts per thousand yen50% reduction in AHI and residual AHI less than 5/h (criterion 4). This was done to reflect the differences in the clinical definition of treatment success in the literature. A good response occurred in 56% (40 patients) according to criterion 1; 54% (39 patients) according to criterion 2; 46% (33 patients) according to criterion 3; or 39% (28 patients) according to criterion 4. Age and gender were found to be significant predictors for criteria 1 and 2. Age and soft palate length were found to be significant predictors for criteria 3 and 4. Equations to predict MAS treatment response were derived as equations were to predict final AHI.Certain cephalometric and anthropomorphic measurements impact on MAS treatment outcome. This study adds to the current literature and implies that MAS success is (to some degree) related to anatomical characteristics.