Department of Anesthesiology, The Mount Sinai Hospital, One Gustave Levy Pl., New York, NY 10128, USA.
Anesth Analg. 2010 Aug;111(2):421-5. doi: 10.1213/ANE.0b013e3181e41804. Epub 2010 Jun 7.
Spinal cord monitoring is associated with a significantly lower rate of neurologic deficits after deformity surgery, and has been shown to have predictive value in cervical, thoracic, and lumbar surgery. Lower extremity motor evoked potentials (MEPs) are particularly sensitive to anesthetics and physiologic change, and can be difficult to obtain at baseline. The anesthesiologist is often required to modify the maintenance anesthetic to facilitate signal attainment. Although intuitive, the predictive significance of increasing age, body mass index (BMI), presence of diabetes and/or hypertension, surgical procedure, and anesthetic technique has not been well delineated.
We conducted a retrospective chart review of the anesthetic records of all patients who underwent spine surgery and MEP monitoring of the lower extremities from August 1, 2001 to December 31, 2005. Patients with preexisting paralysis of the lower extremities were excluded. Univariate analysis was performed to examine the distribution of diabetes, hypertension, anesthesia technique, age, gender, BMI, and surgical procedure. The chi(2) test and the 2-sample t test were used to test associations between MEP status and potential risk factors. Cochran-Armitage test was used to analyze trends in BMI and age by quartile. The effects of diabetes and hypertension, compared with patients with neither, were presented for each anesthetic technique. Bivariate analysis of the data was performed to analyze a potentially synergistic deleterious effect of diabetes, hypertension, and anesthetic technique using the Breslow-Day test for homogeneity of the odds ratios. Logistic regression analysis through stepwise selection was performed to form a model of the data.
Two hundred fifty-six charts were reviewed. The univariate analysis showed that diabetes, hypertension, anesthesia technique, age, and BMI were significantly associated with failure to obtain MEP signals. None of the variables were found to have a synergistic effect on MEP signal attainment in the bivariate analysis. Hypertension, diabetes, and anesthetic technique were independent factors for MEP failure and their joint effects were additive not synergistic.
Diabetes, hypertension, and anesthetic technique were the most important patient risk factors associated with failure to obtain lower extremity MEP signals. These results will improve anesthesiologists' ability to tailor anesthetic regimen to patient comorbidity when MEP monitoring is planned.
脊髓监测与畸形手术后神经功能缺损的发生率显著降低相关,并且已证明在颈椎、胸椎和腰椎手术中具有预测价值。下肢运动诱发电位(MEP)对麻醉和生理变化特别敏感,并且在基线时可能难以获得。麻醉师通常需要修改维持麻醉以促进信号获取。尽管直观,但年龄增长、体重指数(BMI)、糖尿病和/或高血压的存在、手术程序和麻醉技术的预测意义尚未得到很好的描述。
我们对 2001 年 8 月 1 日至 2005 年 12 月 31 日期间接受脊柱手术和下肢 MEP 监测的所有患者的麻醉记录进行了回顾性图表审查。排除下肢已有瘫痪的患者。进行单变量分析以检查糖尿病、高血压、麻醉技术、年龄、性别、BMI 和手术程序的分布。使用卡方检验和两样本 t 检验测试 MEP 状态与潜在危险因素之间的关联。Cochran-Armitage 检验用于按四分位数分析 BMI 和年龄的趋势。与既无糖尿病又无高血压的患者相比,展示了每种麻醉技术下糖尿病和高血压的影响。使用 Breslow-Day 检验进行数据的二变量分析,以分析糖尿病、高血压和麻醉技术的协同有害效应。通过逐步选择进行逻辑回归分析,以形成数据模型。
共审查了 256 份图表。单变量分析表明,糖尿病、高血压、麻醉技术、年龄和 BMI 与未能获得 MEP 信号显著相关。在二变量分析中,没有发现任何变量对 MEP 信号获得具有协同作用。高血压、糖尿病和麻醉技术是 MEP 失败的独立因素,其联合作用是累加而不是协同的。
糖尿病、高血压和麻醉技术是与下肢 MEP 信号无法获得相关的最重要的患者危险因素。这些结果将提高麻醉师在计划 MEP 监测时根据患者合并症调整麻醉方案的能力。