炎症指数可预测姑息治疗中非恶性肿瘤患者的死亡率。

Serdar Ceylan, Abbas Faruk Akkurt, Mehtap Gurses, Ayfer Aydemir, Taylan Ozgur Dede, Ruya Acaroglu, Fatma Utkan Duran Ugur
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引用次数: 0

摘要

背景:目的:确定哪些炎症指标与住院并接受姑息治疗的非恶性肿瘤患者的死亡风险相关:方法:纳入一家二级医院姑息治疗科的出院或死亡患者。方法:纳入二级医院姑息治疗病房的出院或死亡患者,在住院48小时内采集实验室数值:单变量 Cox 回归分析结果显示,14 天死亡率受淋巴细胞比率、中性粒细胞与白蛋白比率(NAR)、C 反应蛋白/白蛋白比率(CAR)、多重炎症指数(MII-1)和 MII-2(pConclusion)的影响:炎症指数(包括 C 反应蛋白和白蛋白)值高会增加姑息治疗非恶性肿瘤患者 14 天和 28 天死亡率的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inflammatory indexes predict mortality in non-malignant patients in palliative care.

Background: The literature on the use of inflammatory indexes for palliative care patients without malignancy is scarce.

Aims: To determine which inflammatory indexes are associated with the mortality risks of non-malignant patients hospitalised and receiving palliative care.

Methods: Discharged or deceased patients in a palliative care unit of a secondary care hospital were included. The laboratory values were obtained during the first 48 hours of hospitalisation.

Findings: As a result of univariate Cox regression analysis, 14-day mortality rate was affected by lymphocyte ratio, neutrophil-to-albumin ratio (NAR), C-reactive protein/albumin ratio (CAR), multi-inflammatory indexes (MII-1) and MII-2 (p<0.001, p=0.001, p=0.002, p=0.009 and p=0.003, respectively); NLR, CLR, NAR, CAR, MII-1 and MII-2 (respectively p=0.005, p<0.001, p<0.001, p<0.001, p=0.001 and p<0.001) affected 28-day mortality rate. Indexes that statistically significantly increased both 14-day and 28-day mortality rates independently of other variables were CLR, NAR, CAR, MII-1 and MII-2.

Conclusion: High values in inflammatory indexes, including C-reactive protein and albumin increase the risk of 14-day and 28-day mortality rates in palliative care non-malignant patients.

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