Department of Neurosurgery, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Graduate Entry Medicine, University College Cork, Cork, Ireland.
Cancer. 2018 Sep 1;124(17):3536-3550. doi: 10.1002/cncr.31585. Epub 2018 Jul 5.
This study was designed to identify preoperative predictors of survival in surgically treated patients with metastatic epidural spinal cord compression (MESCC), to examine how these predictors are related to 8 prognostic models, and to perform the first full external validation of these models in accordance with the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) statement.
One hundred forty-two surgically treated patients with MESCC were enrolled in a prospective, multicenter North American cohort study and were followed for 12 months or until death. Cox regression was used. Noncollinear predictors with < 10% missing data, with ≥ 10 events per stratum, and with P < .05 in a univariate analysis were tested through a backward stepwise selection. For the original and revised Tokuhashi prognostic scoring systems (PSSs), Tomita PSS, modified Bauer PSS, van der Linden PSS, Bartels model, Oswestry Spinal Risk Index, and Bollen PSS, this study examined calibration graphically, discrimination with Harrell c-statistics, and survival stratified by risk groups with the Kaplan-Meier method and log-rank test.
The following were significant in the univariate analysis: type of primary tumor, sex, organ metastasis, body mass index, preoperative radiotherapy to MESCC, physical component (PC) of the 36-Item Short Form Health Survey, version 2 (SF-36v2), and EuroQol 5-Dimension (EQ-5D) Questionnaire. Breast, prostate and thyroid primary tumor (HR: 2.9; P =.0005), presence of organ metastasis (hazard ratio (HR): 2.0; P = .005) and SF-36v2 PC (HR: 0.95; P < .0001) were associated with survival in multivariable analysis. Predicted prognoses poorly matched observed values on calibration plots; Bartels model calibration slope was 0.45. Bollen PSS (0.61; 95% CI: 0.58-0.64) and Bartels model (0.68; 95% CI: 0.65-0.71) had the lowest and highest c-statistics, respectively.
The primary tumor type (breast, prostate, or thyroid), an absence of organ metastasis, and a lower degree of physical disability are preoperative predictors of longer survival for surgical MESCC patients. These results are in keeping with current models. This full external validation of 8 prognostic PSSs or model of survival in surgical MESCC patients has revealed that calibration is poor, especially for long-term survivors, whereas discrimination is possibly helpful.
本研究旨在确定手术治疗转移性硬膜外脊髓压迫症(MESCC)患者的生存预测因素,研究这些预测因素与 8 种预后模型的关系,并根据透明报告多变量个体预后或诊断预测模型(TRIPOD)声明对这些模型进行首次全面外部验证。
142 例手术治疗的 MESCC 患者纳入前瞻性、多中心北美队列研究,并进行了 12 个月或直至死亡的随访。采用 Cox 回归分析。通过向后逐步选择,对缺失数据<10%、每分层至少有 10 个事件、单变量分析中 P<0.05 的非共线性预测因素进行检验。对于原始和修订的 Tokuhashi 预后评分系统(PSSs)、Tomita PSS、改良 Bauer PSS、van der Linden PSS、Bartels 模型、Oswestry 脊柱风险指数和 Bollen PSS,本研究通过图形绘制检查校准,通过 Harrell c 统计量评估判别能力,并通过 Kaplan-Meier 方法和对数秩检验按风险组分层进行生存分析。
单变量分析中,以下因素具有统计学意义:原发肿瘤类型、性别、器官转移、体重指数、MESCC 术前放疗、36 项简短健康调查问卷第 2 版(SF-36v2)的生理成分(PC)和 EuroQol 5 维度(EQ-5D)问卷。乳腺、前列腺和甲状腺原发肿瘤(HR:2.9;P=.0005)、存在器官转移(HR:2.0;P=.005)和 SF-36v2 PC(HR:0.95;P<.0001)与多变量分析中的生存相关。在校准图上,预测预后与观察值不匹配;Bartels 模型校准斜率为 0.45。Bollen PSS(0.61;95%CI:0.58-0.64)和 Bartels 模型(0.68;95%CI:0.65-0.71)具有最低和最高的 c 统计量。
原发性肿瘤类型(乳腺、前列腺或甲状腺)、无器官转移和较低程度的生理残疾是手术治疗 MESCC 患者生存的术前预测因素。这些结果与当前的模型一致。对 8 种手术治疗 MESCC 患者生存预后评分系统或模型的全面外部验证表明,校准较差,尤其是对长期生存者,而判别能力可能有所帮助。