Rajchagool Buddharaksa, Wongyikul Pakpoom, Lumkul Lalita, Phinyo Phichayut, Pattanakuhar Sintip
Department of Rehabilitation Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Center for Clinical Epidemiology and Clinical Statistics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Spinal Cord. 2023 Nov;61(11):608-614. doi: 10.1038/s41393-023-00917-y. Epub 2023 Jul 24.
To perform external geographic and domain validation of the clinical prediction rule (CPR) of the ambulation outcome of patients with traumatic spinal cord injury (SCI) originally developed by van Middendorp, et al. (2011) in Thais with traumatic and non-traumatic SCI.
Retrospective cohort study.
A tertiary rehabilitation facility in Chiang Mai, Thailand.
A validation data set, including predictive (age and four neurological variables) and outcome (ambulation status) parameters was retrospectively collected from medical records of patients with traumatic and non-traumatic SCI admitted between December 2007 and December 2019. The performance of the original model was evaluated in both discrimination and calibration aspects, using an area under the receiver-operating characteristic curve (auROC) and calibration curves, respectively.
Three hundred and thirty-three patients with SCI were included in the validation set. The prevalence of ambulators was 59% (197 of 333 participants). An auROC of 0.93 (95% CI 0.90-0.96) indicated excellent discrimination whereas the calibration curve demonstrated underestimation, especially in patients with AIS grade D. Performance of the CPR was decreased but acceptable in patients with non-traumatic SCI.
Our external validation study demonstrated excellent discrimination but slightly underestimated calibration of the CPR of ambulation outcome after SCI. Regardless of the geographic and etiologic background of the population, the Dutch CPR could be applied to predict the ambulation outcome in patients with SCI.
对最初由范·米登多普等人(2011年)制定的创伤性脊髓损伤(SCI)患者步行结果的临床预测规则(CPR)在泰国创伤性和非创伤性SCI患者中进行外部地域和领域验证。
回顾性队列研究。
泰国清迈的一家三级康复机构。
从2007年12月至2019年12月收治的创伤性和非创伤性SCI患者的病历中回顾性收集一个验证数据集,包括预测参数(年龄和四个神经学变量)和结果参数(步行状态)。分别使用受试者操作特征曲线下面积(auROC)和校准曲线,在区分度和校准方面评估原始模型的性能。
验证集中纳入了333例SCI患者。步行者的患病率为59%(333名参与者中的197名)。auROC为0.93(95%CI 0.90 - 0.96)表明区分度极佳,而校准曲线显示存在低估,尤其是在AIS D级患者中。CPR在非创伤性SCI患者中的性能有所下降,但仍可接受。
我们的外部验证研究表明,SCI后步行结果的CPR具有出色的区分度,但校准略有低估。无论人群的地域和病因背景如何,荷兰的CPR均可用于预测SCI患者的步行结果。