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一种用于对老年癌症患者生存进行分层的新型全身炎症预后评分系统。

A Novel Systemic Inflammation Prognostic Score to Stratify Survival in Elderly Patients With Cancer.

作者信息

Ruan Guo-Tian, Xie Hai-Lun, Deng Li, Ge Yi-Zhong, Zhang Qi, Wang Zi-Wen, Zhang Xi, Zhang He-Yang, Tang Meng, Song Meng-Meng, Zhang Xiao-Wei, Yang Ming, Pan Lei, Wang Kun-Hua, Cong Ming-Hua, Gong Yi-Zhen, Wang Meng-Yan, Shi Han-Ping

机构信息

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

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

出版信息

Front Nutr. 2022 Jul 5;9:893753. doi: 10.3389/fnut.2022.893753. eCollection 2022.

Abstract

BACKGROUND

Elderly patients with cancer face the challenge of systemic inflammation, which can lead to a poor prognosis. Existing inflammatory indices cannot fully reflect the immune-inflammatory status of patients. This study aimed to develop a new scoring system to predict the survival of elderly patients with cancer using inflammatory indices, namely, the systemic inflammation prognostic score (SIPS).

MATERIALS AND METHODS

This prospective multicenter study included a total of 1,767 patients with cancer, with a mean age of 70.97 ± 5.49 years, of whom 1,170 (66.2%) were men. We performed the least absolute shrinkage and selection operator (LASSO) regression to screen inflammatory indicators to include in constructing SIPS. Prognostic analysis of SIPS was performed using univariate and multivariate survival analyzes. The prognostic value of SIPS and its components were compared using the prognostic receiver operating characteristic curve and concordance index. The population was divided into the training cohort and the validation cohort in a 7:3 ratio and a SIPS prognostic analysis was performed.

RESULTS

The LASSO regression selected C-reactive protein (CRP) (≤ 9.81, "0"; > 9.81, "1"), geriatric nutritional risk index (GNRI) (≤ 93.85, "1"; 93.85, "0"), advanced lung cancer inflammation index (ALI) (≤ 23.49, "1"; > 23.49, "0"), and lymphocyte to C-reactive protein ratio (LCR) (≤ 2523.81, "1"; > 2523.81, "0") to develop SIPS. Patients were divided into the three groups based on the total SIPS: low-risk (0), moderate-risk (1-2), and high-risk (3-4). On the multivariate survival analysis, patients in the moderate-risk [ < 0.001, hazard ratio (HR) = 1.79, 95% CI: 1.47-2.17] and high-risk groups ( < 0.001, HR = 2.40, 95% CI: 1.98-2.92) showed a worse prognosis than those in the low-risk group. The total cohort, training cohort, and validation cohort all showed that SIPS had better survival prediction than CRP, GNRI, ALI, and LCR. The HRs were 2.81 times higher in patients in the high-risk group with malnutrition than in patients in the low-risk group without malnutrition.

CONCLUSION

SIPS was an independent prognostic indicator in elderly patients with cancer. Malnutrition in the high-risk group increased the mortality risk.

摘要

背景

老年癌症患者面临全身炎症的挑战,这可能导致预后不良。现有的炎症指标不能完全反映患者的免疫炎症状态。本研究旨在开发一种新的评分系统,即全身炎症预后评分(SIPS),以利用炎症指标预测老年癌症患者的生存情况。

材料与方法

这项前瞻性多中心研究共纳入1767例癌症患者,平均年龄为70.97±5.49岁,其中1170例(66.2%)为男性。我们进行了最小绝对收缩和选择算子(LASSO)回归,以筛选用于构建SIPS的炎症指标。使用单因素和多因素生存分析对SIPS进行预后分析。使用预后性受试者工作特征曲线和一致性指数比较SIPS及其组成部分的预后价值。将人群按7:3的比例分为训练队列和验证队列,并对SIPS进行预后分析。

结果

LASSO回归选择了C反应蛋白(CRP)(≤9.81,“0”;>9.81,“1”)、老年营养风险指数(GNRI)(≤93.85,“1”;>93.85,“0”)、晚期肺癌炎症指数(ALI)(≤23.49,“1”;>23.49,“0”)和淋巴细胞与C反应蛋白比值(LCR)(≤2523.81,“1”;>2523.81,“0”)来构建SIPS。根据SIPS总分将患者分为三组:低风险(0分)、中度风险(1 - 2分)和高风险(3 - 4分)。在多因素生存分析中,中度风险组(<0.001,风险比(HR)=1.79,95%置信区间:[1.47, 2.17])和高风险组(<0.001,HR = 2.40,95%置信区间:[1.98, 2.92])的患者预后比低风险组更差。总队列、训练队列和验证队列均显示,SIPS的生存预测能力优于CRP、GNRI、ALI和LCR。高风险组中伴有营养不良的患者的HR比低风险组中无营养不良的患者高2.81倍。

结论

SIPS是老年癌症患者的独立预后指标。高风险组中的营养不良增加了死亡风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9e0/9294408/b36f4fb496c8/fnut-09-893753-g001.jpg

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