Suppr超能文献

基于握力的恶病质指数(H-CXI)与原始恶病质指数(CXI)在预测接受结直肠癌根治术患者的癌症恶病质及预后方面的比较。

Comparison of the cachexia index based on hand-grip strength (H-CXI) with the original CXI for the prediction of cancer cachexia and prognosis in patients who underwent radical colectomy for colorectal cancer.

作者信息

Yan Xia-Lin, Wu Lian-Ming, Tang Xiu-Bo, Li Zong-Ze, Zhang Zhao, Jiang Hao-Jie, Chen Zhang-Tao, Chen Ding-Hao, Li Jiang-Yuan, Shen Xian, Huang Dong-Dong

机构信息

Department of Colorectal Anal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Department of General Surgery, Yuhuan Second People 's Hospital, Taizhou, China.

出版信息

Front Nutr. 2024 Feb 20;11:1290299. doi: 10.3389/fnut.2024.1290299. eCollection 2024.

Abstract

BACKGROUND AND AIMS

The cachexia index (CXI) is a novel biomarker for estimating cancer cachexia. The cachexia index based on hand-grip strength (H-CXI) has been recently developed as a simple proxy for CXI. The present study aims to compare both the H-CXI and CXI for the prediction of cancer cachexia and postoperative outcomes in patients who underwent radical colectomy for colorectal cancer.

METHODS

Patients who underwent radical operations for colorectal cancer were included in this study. Cancer cachexia was diagnosed according to the international consensus outlined by Fearon et al. The cachexia index (CXI) was calculated as [skeletal muscle index (SMI) × serum albumin/neutrophil-to-lymphocyte ratio (NLR)]. The H-CXI was calculated as [hand-grip strength (HGS)/height × serum albumin/NLR]. The SMI was measured based on the preoperative CT images at the third lumbar vertebra (L3) level. HGS was measured before surgery.

RESULTS

From July 2014 to May 2021, a total of 1,411 patients were included in the present study, of whom 361 (25.6%) were identified as having cancer cachexia. Patients with cachexia had a lower CXI ( < 0.001) and lower H-CXI ( < 0.001) than those without cachexia. A low CXI but not low H-CXI independently predicted cancer cachexia in the multivariate analysis (OR 1.448,  = 0.024). Both a low CXI (HR 1.476,  < 0.001 for OS; HR 1.611,  < 0.001 for DFS) and low H-CXI (HR 1.369,  = 0.007 for OS; HR 1.642,  < 0.001 for DFS) were independent predictors for overall survival (OS) and disease-free survival (DFS) after adjusting for the same covariates. A low H-CXI but not low CXI was an independent risk factor for postoperative complications (OR 1.337,  = 0.044). No significant association was found between cancer cachexia and postoperative complications.

CONCLUSION

The CXI and H-CXI exhibited better prognostic value than cancer cachexia for the prediction of postoperative outcomes in patients who underwent radical colectomy for colorectal cancer. The H-CXI was a superior index over the CXI in predicting short-term clinical outcomes, whereas the CXI demonstrated a closer correlation with Fearon's criteria for cancer cachexia. Ideal tools for the assessment of cancer cachexia should incorporate not only weight loss but also muscle mass, physical function, and inflammatory state.

摘要

背景与目的

恶病质指数(CXI)是一种用于评估癌症恶病质的新型生物标志物。基于握力的恶病质指数(H-CXI)最近被开发出来,作为CXI的一种简单替代指标。本研究旨在比较H-CXI和CXI对接受结直肠癌根治性结肠切除术患者的癌症恶病质及术后结局的预测价值。

方法

本研究纳入了接受结直肠癌根治性手术的患者。根据Fearon等人概述的国际共识诊断癌症恶病质。恶病质指数(CXI)的计算方法为[骨骼肌指数(SMI)×血清白蛋白/中性粒细胞与淋巴细胞比值(NLR)]。H-CXI的计算方法为[握力(HGS)/身高×血清白蛋白/NLR]。SMI根据术前第三腰椎(L3)水平的CT图像测量。HGS在手术前测量。

结果

2014年7月至2021年5月,本研究共纳入1411例患者,其中361例(25.6%)被确定患有癌症恶病质。与无恶病质的患者相比,恶病质患者的CXI较低(<0.001),H-CXI也较低(<0.001)。在多变量分析中,低CXI而非低H-CXI可独立预测癌症恶病质(OR 1.448,P = 0.024)。在调整相同协变量后,低CXI(OS的HR 1.476,P < 0.001;DFS的HR 1.611,P < 0.001)和低H-CXI(OS的HR 1.369,P = 0.007;DFS的HR 1.642,P < 0.001)均为总生存(OS)和无病生存(DFS)的独立预测因素。低H-CXI而非低CXI是术后并发症的独立危险因素(OR 1.337,P = 0.044)。未发现癌症恶病质与术后并发症之间存在显著关联。

结论

对于接受结直肠癌根治性结肠切除术的患者,CXI和H-CXI在预测术后结局方面比癌症恶病质具有更好的预后价值。在预测短期临床结局方面,H-CXI优于CXI,而CXI与Fearon的癌症恶病质标准显示出更密切的相关性。理想的癌症恶病质评估工具不仅应包括体重减轻,还应包括肌肉质量、身体功能和炎症状态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52bb/10912503/779bb6169071/fnut-11-1290299-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