Suppr超能文献

癌症预后评估中个体性非自愿体重减轻的阈值。

Individualized threshold of the involuntary weight loss in prognostic assessment of cancer.

机构信息

Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.

Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.

出版信息

J Cachexia Sarcopenia Muscle. 2023 Dec;14(6):2948-2958. doi: 10.1002/jcsm.13368. Epub 2023 Nov 23.

Abstract

BACKGROUND

Involuntary weight loss (WL) is a common symptom in cancer patients and is associated with poor outcomes. However, there is no standardized definition of WL, and it is unclear what magnitude of weight loss should be considered significant for prognostic purposes. This study aimed to determine an individualized threshold for WL that can be used for prognostic assessment in cancer patients.

METHODS

Univariate and multivariate analyses of overall survival (OS) were performed using Cox proportional hazard models. The Kaplan-Meier method was performed to estimate the survival distribution of different WL levels. Logistic regression analysis was used to determine the relationship between WL and 90-day outcomes. Restricted cubic splines with three knots were used to examine the effects of WL on survival under different body mass index (BMI) conditions.

RESULTS

Among the 8806 enrolled patients with cancer, median survival time declined as WL increased, from 25.1 to 20.1, 17.8 and 16.4 months at <2%, 2-5%, 5-10% and ≥10% WL, respectively (P < 0.001). Multivariate adjusted Cox regression analysis showed that the risk of adverse prognosis increased by 18.1% based on the SD of WL (5.45 U) (HR: 1.181, 95% CI: 1.144-1.219, P < 0.001). Similarly, categorical WL was independently associated with OS in patients with cancer. With the worsening of WL, the risk of a poor prognosis in patients increases stepwise. Compared with <2% WL, all-cause mortalities were 15.1%, 37% and 64.2% higher in 2-5%, 5-10%, and ≥10% WL, respectively. WL can effectively stratify the prognosis of both overall and site-specific cancers. The clinical prognostic thresholds for WL based on different BMI levels were 4.21% (underweight), 5.03% (normal), 6.33% (overweight), and 7.60% (obese). Multivariate logistic regression analysis showed that WL was independently associated with 90-day outcomes in patients with cancer. Compared with patients with <2% WL, those with ≥10% WL had more than twice the risk of 90-day outcomes (OR: 3.277, 95% CI: 2.287-4.694, P < 0.001). Systemic inflammation was a cause of WL deterioration. WL mediates 6.3-10.3% of the overall association between systemic inflammation and poor prognoses in patients with cancer.

CONCLUSIONS

An individualized threshold for WL based on baseline BMI can be used for prognostic assessment in cancer patients. WL and BMI should be evaluated simultaneously in treatment decision-making, nutritional intervention, and prognosis discussions of patients with cancer.

摘要

背景

体重减轻(WL)是癌症患者的常见症状,与不良预后相关。然而,目前尚无 WL 的标准化定义,也不清楚应将多大程度的体重减轻视为具有预后意义。本研究旨在确定用于癌症患者预后评估的个体化 WL 阈值。

方法

采用 Cox 比例风险模型进行总生存(OS)的单因素和多因素分析。采用 Kaplan-Meier 法估计不同 WL 水平的生存分布。采用 logistic 回归分析确定 WL 与 90 天结局的关系。采用具有三个结的限制性三次样条来检查 WL 在不同体重指数(BMI)条件下对生存的影响。

结果

在纳入的 8806 例癌症患者中,中位生存时间随 WL 的增加而下降,分别为<2%、2-5%、5-10%和≥10% WL 时的 25.1、20.1、17.8 和 16.4 个月(P<0.001)。多因素调整的 Cox 回归分析显示,WL 的标准差(5.45 U)增加 18.1%会增加不良预后的风险(HR:1.181,95%CI:1.144-1.219,P<0.001)。同样,分类 WL 与癌症患者的 OS 独立相关。随着 WL 的恶化,患者预后不良的风险呈逐步增加。与<2% WL 相比,2-5%、5-10%和≥10% WL 的全因死亡率分别高 15.1%、37%和 64.2%。WL 可有效分层总体和部位特异性癌症的预后。基于不同 BMI 水平的 WL 临床预后阈值分别为 4.21%(体重不足)、5.03%(正常)、6.33%(超重)和 7.60%(肥胖)。多因素 logistic 回归分析显示,WL 与癌症患者的 90 天结局独立相关。与<2% WL 的患者相比,≥10% WL 的患者 90 天结局的风险增加两倍以上(OR:3.277,95%CI:2.287-4.694,P<0.001)。全身炎症是 WL 恶化的原因。WL 介导了 6.3-10.3%的全身炎症与癌症患者不良预后之间的总体关联。

结论

基于基线 BMI 的 WL 个体化阈值可用于癌症患者的预后评估。在癌症患者的治疗决策、营养干预和预后讨论中,应同时评估 WL 和 BMI。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c316/10751427/c55106530775/JCSM-14-2948-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验