• Zhongguo Gu Shang · Oct 2019

    [Analysis of risk factors for preoperative mechanical ventilation in patients with acute traumatic cervical spinal cord injury].

    • Rong Wang, Xin-Wen Ma, Tao Yang, Wei Hu, Zhen-Yu Dong, Yan-Lu Liu, and Yi-Fei Huang.
    • The Affiliated Chinese Medicine Hospital of Xinjiang Medical University, Wulumuqi 830000, Xinjiang, China.
    • Zhongguo Gu Shang. 2019 Oct 25; 32 (10): 919-922.

    ObjectiveTo analyze the risk factors associated with mechanical ventilation before surgery in patients with acute traumatic cervical spinal cord injury(TCSCI).MethodsAccording to whether preoperative mechanical ventilation, 59 patients with TCSCI admitted to our hospital from November 2016 to May 2018 were divided into mechanical ventilation(MV)group (37 cases) and non-mechanical ventilation(non-MV) group (22 cases). Falling from height was the most common causes of injury(30 cases, 50.8%), then was traffic accident(22 cases, 37.3%). The most common paraplegic plane was in C₁-C₄(36 cases, 61%). American Spinal Cord Injury Association(ASIA) injury degree and ASIA exercise score(AMS) were used to assess the extent of affected neurological plane and spinal cord injury. Trauma severity score(ISS) was used to evaluate the severity of the injury. Multivariate Logistic regression was used to analyze the risk factors for mechanical ventilation in TCSCI. ROC curves were used to assess the value of AMS and ISS in predicting mechanical ventilation.ResultsUnivariate analysis showed that the percentage of male, complete injury and related injuries in the MV group were significantly higher than those in the non-MV group(P<0.05). The AMS score of the MV group was significantly lower than that of the non-MV group (16.4±10.7 vs 39.1±9.5, P<0.001), and the ISS score was significantly higher than that of the non-MV group(31.6±8.0 vs 26.5±6.7, P=0.015). Multivariate Logistic regression analysis showed that AMS[OR=3.340, 95% CI(1.321, 6.242), P<0.001] and ISS [OR=1.120, 95% CI(0.306, 3.786), P<0.001] were significant risk factors on predicting the need for mechanical ventilation.The ROC analysis showed that the area under the ROC curve(AUC) of AMS was significantly higher than that of ISS(0.899 vs 0.685, P<0.05).ConclusionsAMS and ISS at admission can be used as predictors of early mechanically assisted ventilation.Copyright© 2019 by the China Journal of Orthopaedics and Traumatology Press.

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