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在接受手术治疗的脊柱转移瘤患者中,计算机断层扫描(CT)上的身体成分预测死亡率的因素。

Body composition predictors of mortality on computed tomography in patients with spinal metastases undergoing surgical treatment.

机构信息

Department of Orthopaedic Surgery - Orthopaedic Oncology Service, Massachusetts General Hospital - Harvard Medical School, Yawkey 3A, 55 Fruit St, Boston, MA 02114, USA.

Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Yawkey 6E, 55 Fruit St, Boston, MA 02114, USA.

出版信息

Spine J. 2022 Apr;22(4):595-604. doi: 10.1016/j.spinee.2021.10.011. Epub 2021 Oct 23.

Abstract

BACKGROUND CONTEXT

Although survival of patients with spinal metastases has improved over the last decades due to advances in multi-modal therapy, there are currently no reliable predictors of mortality. Body composition measurements obtained using computed tomography (CT) have been recently proposed as biomarkers for survival in patients with and without cancer. Patients with cancer routinely undergo CT for staging or surveillance of therapy. Body composition assessed using opportunistic CTs might be used to determine survival in patients with spinal metastases.

PURPOSE

The purpose of this study was to determine the value of body composition measures obtained on opportunistic abdomen CTs to predict 90-day and 1-year mortality in patients with spinal metastases undergoing surgery. We hypothesized that low muscle and abdominal fat mass were positive predictors of mortality.

STUDY DESIGN

Retrospective study at a single tertiary care center in the United States.

PATIENT SAMPLE

This retrospective study included 196 patients between 2001 and 2016 that were 18 years of age or older, underwent surgical treatment for spinal metastases, and had a preoperative CT of the abdomen within three months prior to surgery.

OUTCOME MEASURES

Ninety-day and 1-year mortality by any cause.

METHODS

Quantification of cross-sectional areas (CSA) and CT attenuation of abdominal subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and paraspinous and abdominal skeletal muscle were performed on CT images at the level of L4 using an in-house automated algorithm. Sarcopenia was determined by total muscle CSA (cm) divided by height squared (m) with cutoff values of <52.4 cm/m for men and <38.5 cm/m for women. Bivariate and multivariate Cox proportional-hazard analyses were used to determine the associations between body compositions and 90-day and 1-year mortality.

RESULTS

The median age was 62 years (interquartile range=53-70). The mortality rate for 90-day was 24% and 1-year 54%. The presence of sarcopenia was associated with an increased 1-year mortality rate of 66% compared with a 1-year mortality rate of 41% in patients without sarcopenia (hazard ratio, 1.68; 95% confidence interval, 1.08-2.61; p=.02) after adjusting for various clinical factors including primary tumor type, ECOG performance status, additional metastases, neurology status, and systemic therapy. Additional analysis showed an association between sarcopenia and increased 1-year mortality when controlling for the prognostic modified Bauer score (HR, 1.58; 95%CI, 1.04-2.40; p=.03). Abdominal fat CSAs or muscle attenuation were not independently associated with mortality.

CONCLUSIONS

The presence of sarcopenia is associated with an increased risk of 1-year mortality for patients surgically treated for spinal metastases. Sarcopenia retained an independent association with mortality when controlling for the prognostic modified Bauer score. This implies that body composition measurements such as sarcopenia could serve as novel biomarkers for prediction of mortality and may supplement other existing prognostic tools to improve shared decision making for patients with spinal metastases that are contemplating surgical treatment.

摘要

背景背景

尽管由于多模式治疗的进步,脊柱转移患者的生存时间有所延长,但目前尚无可靠的死亡率预测指标。最近提出使用计算机断层扫描(CT)获得的身体成分测量值作为癌症患者和非癌症患者生存的生物标志物。癌症患者通常接受 CT 进行分期或治疗监测。使用机会性 CT 评估的身体成分可能用于确定脊柱转移患者的生存情况。

目的

本研究的目的是确定通过机会性腹部 CT 获得的身体成分测量值预测接受脊柱转移手术的患者 90 天和 1 年死亡率的价值。我们假设低肌肉和腹部脂肪量是死亡率的正预测因子。

研究设计

在美国的一家三级护理中心进行的回顾性研究。

患者样本

这项回顾性研究纳入了 2001 年至 2016 年间的 196 名年龄在 18 岁或以上的患者,他们接受了脊柱转移的手术治疗,并且在手术前三个月内进行了腹部 CT 检查。

预后指标

任何原因导致的 90 天和 1 年死亡率。

方法

在 CT 图像上使用内部自动化算法,在 L4 水平上对腹部皮下脂肪组织(SAT)、内脏脂肪组织(VAT)以及脊柱旁和腹部骨骼肌的横截面积(CSA)和 CT 衰减进行量化。通过将总肌肉 CSA(cm)除以身高的平方(m)来确定肌肉减少症,男性的截断值为<52.4 cm/m,女性的截断值为<38.5 cm/m。使用双变量和多变量 Cox 比例风险分析来确定身体成分与 90 天和 1 年死亡率之间的关联。

结果

中位年龄为 62 岁(四分位间距=53-70)。90 天的死亡率为 24%,1 年的死亡率为 54%。与无肌肉减少症患者相比,1 年内有肌肉减少症患者的死亡率增加了 66%,而无肌肉减少症患者的 1 年死亡率为 41%(危险比,1.68;95%置信区间,1.08-2.61;p=.02),在调整了包括主要肿瘤类型、ECOG 表现状态、其他转移灶、神经状态和全身治疗在内的各种临床因素后。进一步的分析表明,在控制预后改良 Bauer 评分的情况下,肌肉减少症与 1 年死亡率增加之间存在关联(HR,1.58;95%CI,1.04-2.40;p=.03)。腹部脂肪 CSA 或肌肉衰减与死亡率无关。

结论

肌肉减少症与接受脊柱转移手术治疗的患者 1 年死亡率增加相关。在控制预后改良 Bauer 评分的情况下,肌肉减少症与死亡率仍存在独立关联。这意味着身体成分测量值(如肌肉减少症)可以作为死亡率预测的新生物标志物,并可能补充其他现有的预后工具,以改善考虑接受脊柱转移手术治疗的患者的共同决策。

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