评估转移性脊柱肿瘤脊柱手术后发病率和死亡率的修订风险分析指数。

IF 3.2 2区 医学 Q2 CLINICAL NEUROLOGY
Aladine A Elsamadicy, Paul Serrato, Sina Sadeghzadeh, Sumaiya Sayeed, Astrid C Hengartner, Syed I Khalid, Sheng-Fu Larry Lo, John H Shin, Ehud Mendel, Daniel M Sciubba
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引用次数: 0

摘要

背景:风险分析指数(RAI)已越来越多地被用于评估各种手术中的外科虚弱程度,但其在预测转移性疾病脊柱手术的死亡率或住院预后方面的有效性仍不明确。本研究旨在比较修订版 RAI(RAI-rev)、改良虚弱指数-5(mFI-5)和高龄对转移性脊柱肿瘤脊柱手术患者住院时间延长、30 天再入院、并发症和死亡率的预测价值:利用 2012-2022 年 ACS NSQIP 数据库进行了一项回顾性队列研究,以确定因脊柱转移性病变而接受脊柱手术的成年患者。通过接受者操作特征(ROC)和多变量分析,我们比较了RAI-rev、mFI-5和患者年龄与延长住院时间(LOS)、30天并发症、再入院和死亡率的鉴别阈值和独立关联:共发现 1,796 名患者,其中 1,116 名(62.1%)为男性,1,008 名(70.7%)为非西班牙裔白人。RAI-rev 发现了 1291 名(71.9%)体弱患者和 208 名(11.6%)极度体弱患者,而 mFI-5 发现了 272 名(15.1%)体弱患者和 49 名(2.7%)极度体弱患者。在延长 LOS 的 ROC 分析中,RAI-rev 和 mFI-5 均显示出适度的预测能力,曲线下面积 (AUC) 值分别为 0.5477 和 0.5329,两者的预测能力无显著差异(p = 0.446)。与年龄相比,RAI-rev 的预测能力更强(p = 0.015)。在预测 30 天再入院方面,RAI-rev 和 mFI-5 之间无明显差异(AUC 分别为 0.5394 l,p = 0.354)。然而,RAI-rev 的表现优于年龄(p = 0.001)。在评估 30 天并发症风险时,RAI-rev 明显优于 mFI-5(AUC 分别为 0.6016 和 0.5542,p = 0.022),但不优于年龄。值得注意的是,RAI-rev 预测 30 天死亡率的能力优于 mFI-5 和年龄(AUC:分别为 0.6541、0.5652 和 0.5515,p 结论:我们的研究证明了 RAI-rev 在预测因脊柱转移性病变而接受脊柱手术的患者的发病率和死亡率方面的实用性。特别是 RAI-rev 在预测 30 天死亡率方面的优势可能对多学科决策具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing a revised-risk analysis index for morbidity and mortality after spine surgery for metastatic spinal tumors.

Background: Risk Analysis Index (RAI) has been increasingly used to assess surgical frailty in various procedures, but its effectiveness in predicting mortality or in-patient hospital outcomes for spine surgery in metastatic disease remains unclear. The aim of this study was to compare the predictive values of the revised RAI (RAI-rev), the modified frailty index-5 (mFI-5), and advanced age for extended length of stay, 30-day readmission, complications, and mortality among patients undergoing spine surgery for metastatic spinal tumors.

Methods: A retrospective cohort study was performed using the 2012-2022 ACS NSQIP database to identify adult patients who underwent spinal surgery for metastatic spinal pathologies. Using receiver operating characteristic (ROC) and multivariable analyses, we compared the discriminative thresholds and independent associations of RAI-rev, mFI-5, and greater patient age with extended length of stay (LOS), 30-day complications, hospital readmission, and mortality.

Results: A total of 1,796 patients were identified, of which 1,116 (62.1%) were male and 1,008 (70.7%) were non-Hispanic White. RAI-rev identified 1,291 (71.9%) frail and 208 (11.6%) very frail patients, while mFI-5 identified 272 (15.1%) frail and 49 (2.7%) very frail patients. In the ROC analysis for extended LOS, both RAI-rev and mFI-5 showed modest predictive capabilities with area under the curve (AUC) values of 0.5477 and 0.5329, respectively, and no significant difference in their predictive abilities (p = 0.446). When compared to age, RAI-rev demonstrated superior prediction (p = 0.015). With respect to predicting 30-day readmission, no significant difference was observed between RAI-rev and mFI-5 (AUC 0.5394 l respectively, p = 0.354). However, RAI-rev outperformed age (p = 0.001). When assessing the risk of 30-day complications, RAI-rev significantly outperformed mFI-5 (AUC: 0.6016 and 0.5542 respectively, p = 0.022) but not age. Notably, RAI-rev demonstrated superior ability for predicting 30-day mortality compared to mFI-5 and age (AUC: 0.6541, 0.5652, and 0.5515 respectively, p < 0.001). Multivariate analysis revealed RAI-rev as a significant predictor of extended LOS [aOR: 1.96, 95% CI: 1.13-3.38, p = 0.016] and 30-day mortality [aOR: 5.27, 95% CI: 1.73-16.06, p = 0.003] for very frail patients. Similarly, the RAI-rev significantly predicted 30-day complications for frail [aOR: 2.63, 95% CI: 1.21-5.72, p = 0.015] and very frail [aOR: 3.69, 95% CI: 1.60-8.51, p = 0.002] patients. However, the RAI did not significantly predict 30-day readmission [Very Frail aOR: 1.52, 95% CI: 0.75-3.07, p = 0.245; Frail aOR: 1.46, 95% CI: 0.79-2.68, p = 0.225].

Conclusion: Our study demonstrates the utility of RAI-rev in predicting morbidity and mortality in patients undergoing spine surgery for metastatic spinal pathologies. Particularly, the superiority that RAI-rev has in predicting 30-day mortality may have significant implications in multidisciplinary decision making.

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来源期刊
Journal of Neuro-Oncology
Journal of Neuro-Oncology 医学-临床神经学
CiteScore
6.60
自引率
7.70%
发文量
277
审稿时长
3.3 months
期刊介绍: The Journal of Neuro-Oncology is a multi-disciplinary journal encompassing basic, applied, and clinical investigations in all research areas as they relate to cancer and the central nervous system. It provides a single forum for communication among neurologists, neurosurgeons, radiotherapists, medical oncologists, neuropathologists, neurodiagnosticians, and laboratory-based oncologists conducting relevant research. The Journal of Neuro-Oncology does not seek to isolate the field, but rather to focus the efforts of many disciplines in one publication through a format which pulls together these diverse interests. More than any other field of oncology, cancer of the central nervous system requires multi-disciplinary approaches. To alleviate having to scan dozens of journals of cell biology, pathology, laboratory and clinical endeavours, JNO is a periodical in which current, high-quality, relevant research in all aspects of neuro-oncology may be found.
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