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为何没有信号?脑解剖结构可预测脑瘫继发脊柱侧弯矫正术中神经监测的成功率。

Why No Signals? Cerebral Anatomy Predicts Success of Intraoperative Neuromonitoring During Correction of Scoliosis Secondary to Cerebral Palsy.

作者信息

Mo Andrew Z, Asemota Anthony O, Venkatesan Arun, Ritzl Eva K, Njoku Dolores B, Sponseller Paul D

机构信息

Departments of *Orthopaedic Surgery †Neurology ‡Anesthesia and Critical Care Medicine and Pediatrics, The Johns Hopkins University, Baltimore, MD.

出版信息

J Pediatr Orthop. 2017 Dec;37(8):e451-e458. doi: 10.1097/BPO.0000000000000707.

Abstract

BACKGROUND

Intraoperative neuromonitoring (IONM) is widely used to reduce postoperative neurological complications during scoliosis correction. IONM allows intraoperative detection of neurological insults to the spinal cord and enables surgeons to react in real time. IONM failure rates can reach 61% in patients with cerebral palsy (CP). Factors decreasing the quality of IONM signals or making IONM impossible in CP patients undergoing scoliosis correction have not been well described.

METHODS

We categorized IONM data from 206 children with CP who underwent surgical scoliosis correction at a single institution from 2002 through 2013 into 3 groups: (1) "no signals," if neither somatosensory-evoked potentials (SSEP) nor transcranial motor-evoked potentials (TcMEP) could be obtained; (2) "no sensory," if no interpretable SSEP were obtained regardless of interpretable TcMEP; and (3) "no motor," if no interpretable TcMEP were obtained regardless of interpretable SSEP. We analyzed preexisting neuroimaging, available for 93 patients, and neurological status of the full cohort against these categories. Statistical analysis of univariate and multivariate associations was performed using logistic regression. Odds ratios (ORs) were calculated with significance set at P<0.05.

RESULTS

Multivariate analysis showed significant associations of periventricular leukomalacia (PVL), hydrocephalus, and encephalomalacia with lack of meaningful and interpretable signals. Focal PVL (Fig. 1) was associated with no motor (OR=39.95; P=0.04). Moderate hydrocephalus was associated with no signals (OR=32.35; P<0.01), no motor (OR=10.14; P=0.04), and no sensory (OR=8.44; P=0.03). Marked hydrocephalus (Fig. 2) was associated with no motor (OR=20.46; P<0.01) and no signals (OR=8.83; P=0.01). Finally, encephalomalacia (Fig. 3) was associated with no motor (OR=6.99; P=0.01) and no signals (OR=4.26; P=0.03).

CONCLUSION

Neuroanatomic findings of PVL, hydrocephalus, and encephalomalacia are significant predictors of limited IONM signals, especially TcMEP.

LEVEL OF EVIDENCE

Level IV.

摘要

背景

术中神经监测(IONM)被广泛用于减少脊柱侧弯矫正术后的神经并发症。IONM可在术中检测脊髓的神经损伤,并使外科医生能够实时做出反应。在脑瘫(CP)患者中,IONM失败率可达61%。对于接受脊柱侧弯矫正的CP患者,降低IONM信号质量或使IONM无法进行的因素尚未得到充分描述。

方法

我们将2002年至2013年在单一机构接受脊柱侧弯矫正手术的206例CP患儿的IONM数据分为3组:(1)“无信号”,即无法获得体感诱发电位(SSEP)和经颅运动诱发电位(TcMEP);(2)“无感觉”,即无论TcMEP是否可解释,均未获得可解释的SSEP;(3)“无运动”,即无论SSEP是否可解释,均未获得可解释的TcMEP。我们分析了93例患者的既往神经影像学检查结果以及整个队列的神经状态与这些分类的关系。使用逻辑回归进行单变量和多变量关联的统计分析。计算比值比(OR),显著性设定为P<0.05。

结果

多变量分析显示,脑室周围白质软化(PVL)、脑积水和脑软化与缺乏有意义和可解释的信号显著相关。局灶性PVL(图1)与无运动相关(OR=39.95;P=0.04)。中度脑积水与无信号(OR=32.35;P<0.01)、无运动(OR=10.14;P=0.04)和无感觉(OR=8.44;P=0.03)相关。重度脑积水(图2)与无运动(OR=20.46;P<0.01)和无信号(OR=8.83;P=0.01)相关。最后,脑软化(图3)与无运动(OR=6.99;P=0.01)和无信号(OR=4.26;P=0.03)相关。

结论

PVL、脑积水和脑软化的神经解剖学发现是IONM信号受限的重要预测因素,尤其是TcMEP。

证据级别

四级。

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