Suppr超能文献

内脏脂肪组织评估增强了新辅助治疗后接受根治性胃切除术的胃癌患者 GLIM 标准的预后价值。

Visceral Adipose Tissue Assessment Enhances the Prognostic Value of GLIM Criteria in Patients with Gastric Cancer Undergoing Radical Gastrectomy after Neoadjuvant Treatment.

机构信息

Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.

Department of Pathology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.

出版信息

Nutrients. 2022 Nov 27;14(23):5047. doi: 10.3390/nu14235047.

Abstract

BACKGROUND

The Global Leadership Initiative on Malnutrition (GLIM) criteria has been recently published for diagnosing malnutrition in adults. However, the validity of the GLIM criteria has not been well-established in patients with gastric cancer (GC) treated with neoadjuvant treatment (NT) followed by radical gastrectomy. The present study aimed to explore the prognostic value of GLIM-defined malnutrition before NT and after NT in GC patients and to investigate whether additional visceral adipose tissue (VAT) assessment could improve the predictive power of the GLIM criteria for NT-related adverse events (AEs) and long-term survival.

METHODS

GC patients who underwent radical surgery after NT from June 2016 to June 2020 were enrolled in this study. The cross-sectional areas of total skeletal muscle (TSM) and VAT were measured using computed tomography (CT) before NT and after NT. GLIM-defined malnutrition was diagnosed using the two-step approach, including nutritional risk screening and diagnostic assessment. Low VAT was also added to the diagnosis of malnutrition in this study. The predictive value of these malnutrition diagnoses for NT-related AEs, and long-term survival was evaluated in GC patients.

RESULTS

A total of 182 GC patients were included in this study, of which 66 (36.3%) patients before NT and 55 (30.2%) patients after NT were diagnosed with GLIM-defined malnutrition, respectively. In addition to GLIM-defined malnutrition, 54 (29.7%) patients had additional low VAT before NT, and 39 (21.4%) patients had additional low VAT after NT. GLIM-defined malnutrition alone before NT was not associated with NT-related AEs in GC patients. The addition of low VAT to GLIM-defined malnutrition led to a significant predictive value for NT-related AEs. Furthermore, GLIM-defined malnutrition before NT and after NT were both identified as independent risk factors for overall survival (OS) and disease-free survival (DFS). The combination of low VAT and GLIM-defined malnutrition showed a higher hazard ratio for the prediction of OS and DFS both before NT and after NT.

CONCLUSIONS

The addition of VAT assessment using CT improved the predictive value of GLIM-defined malnutrition for NT-related AEs and long-term survival in GC patients treated with NT followed by radical gastrectomy, which further supports the prognostic importance of assessing adipose tissue simultaneously during the routine nutritional assessment in patients with cancer.

摘要

背景

全球营养不良领导倡议 (GLIM) 标准最近已发布,用于诊断成年人的营养不良。然而,在接受新辅助治疗 (NT) 后行根治性胃切除术的胃癌 (GC) 患者中,GLIM 标准的有效性尚未得到充分证实。本研究旨在探讨 NT 前和 NT 后 GLIM 定义的营养不良对 GC 患者的预后价值,并探讨是否额外评估内脏脂肪组织 (VAT) 可以提高 GLIM 标准对 NT 相关不良事件 (AE) 和长期生存的预测能力。

方法

本研究纳入了 2016 年 6 月至 2020 年 6 月期间接受 NT 后行根治性手术的 GC 患者。在 NT 前和 NT 后使用计算机断层扫描 (CT) 测量总骨骼肌 (TSM) 和 VAT 的横截面积。使用两步法通过营养风险筛查和诊断评估诊断 GLIM 定义的营养不良。在本研究中,还将低 VAT 添加到营养不良的诊断中。评估这些营养不良诊断对 GC 患者 NT 相关 AE 和长期生存的预测价值。

结果

本研究共纳入 182 例 GC 患者,其中 NT 前 66 (36.3%)例和 NT 后 55 (30.2%)例患者被诊断为 GLIM 定义的营养不良。除 GLIM 定义的营养不良外,NT 前还有 54 (29.7%)例患者存在额外的低 VAT,NT 后还有 39 (21.4%)例患者存在额外的低 VAT。NT 前 GLIM 定义的营养不良本身与 GC 患者的 NT 相关 AE 无关。将低 VAT 添加到 GLIM 定义的营养不良中,可显著提高对 NT 相关 AE 的预测价值。此外,NT 前和 NT 后的 GLIM 定义的营养不良均被确定为总生存 (OS) 和无病生存 (DFS) 的独立危险因素。在 NT 前和 NT 后,低 VAT 和 GLIM 定义的营养不良的组合对 OS 和 DFS 的预测具有更高的危险比。

结论

使用 CT 评估 VAT 可提高 GLIM 定义的营养不良对接受 NT 后行根治性胃切除术的 GC 患者 NT 相关 AE 和长期生存的预测价值,这进一步支持在癌症患者常规营养评估中同时评估脂肪组织的预后重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/304a/9740239/2e424260eef0/nutrients-14-05047-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验