急性期蛋白对急性髓系白血病患者预后的预测价值

Xiu-Ji Wu, Yong-Qing Wang, Xiao-Yang Yang, Xue-Shu Lin, Mei-Hua Qiu
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引用次数: 0

摘要

目的:分析急性期蛋白(APPs)对急性髓系白血病(AML)患者预后的预测价值。方法:收集2015年1月至2021年4月符合研究要求的AML患者293例,随访其临床特征及治疗前app水平[包括白蛋白(ALB)、纤维蛋白原(FIB)、c反应蛋白(CRP)、铁蛋白(FER)]。应用Pearson相关系数分析app之间的相关性。采用Logistic回归分析AML患者死亡的危险因素。应用ROC曲线分析APP对AML患者死亡率的预测价值,应用Kaplan-Meier生存分析比较APP对AML患者完全缓解(CR)率、总生存期(OS)、无病生存期(DFS)、无进展生存率(PFS)的影响。结果:Pearson相关分析显示ALB与CRP呈负相关(r=-0.134, P=0 - 002), ALB与FER呈负相关(r=-0.148, P=0.001)。FER与CRP (r=0 ~ 361, P<0.001)、FIB (r=0.293, P<0.001)存在相关性。Logistic回归分析结果显示,高龄(>50岁)(OR=1.87, 95% CI=1.25 ~ 2.15, P<0.001)、治疗后复发(OR=2.11, 95% CI=1 ~ 1.11 ~ 3.18, P=0.003)、FLT3-ITD突变(OR=2.59, 95% CI=1.10 ~ 4.12, P<0.001)、CRP≥5 ~ 1.24 mg/L (OR=1.21, 95% CI=1.02 ~ 2.14, P=0.024)、CFA (CFA=CRP*FIB/ ALB)≥3 (OR=2.41, 95% CI=1.65 ~ 6.47, P<0.001)、FER≥1145.58 mg/ml (OR=1.67, 95% CI=1.15 ~ 3.75, P<0.001)是影响AML患者生存的危险因素。ROC曲线分析显示,FER (AUC=0.752, 95% CI=0.681-0 ~ 823, P<0.001,最佳截断值=1220.56 mg/ml)和CFA (AUC=0.804, 95% CI=0.741-0.868, P<0.001,最佳截断值=3.00)对AML患者的生存有较高的预测价值。低CFA组(CFA≤3)的缓解率、PFS、DFS、OS均显著高于高CFA组(CFA>3),总死亡率低于高CFA组;低FER组(FER≤1220.56 mg/ml)的缓解率、PFS、DFS、OS均显著高于高FER组(FER>1220.56 mg/ml),总死亡率低于高FER组,差异有统计学意义。结论:AML患者治疗前CFA值和FER水平可独立预测患者预后,CFA和FER水平高与AML患者预后差相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Predictive Value of Acute Phase Proteins on the Prognosis of Patients with Acute Myeloid Leukemia].

Objective: To analyze the predictive value of acute phase proteins (APPs) on the prognosis of patients with acute myeloid leukemia (AML).

Methods: 293 AML patients who met the study requirements from January 2015 to April 2021 were collected, their clinical characteristics and pre-treatment APPs levels [including albumin (ALB), fibrinogen (FIB), C-reactive protein (CRP), Ferritin (FER)] were followed up and investigated. Pearson correlation coefficient was used to analyze the correlation between APPs. Logistic regression was used to analyze the risk factors for mortality in AML patients. ROC curve was used to analyze the predictive value of APP for mortality in AML patients, and Kaplan-Meier survival analysis was used to compare the effect of APPs on complete remission (CR) rate, overall survival (OS), disease-free survival (DFS), and progression-free survival rate (PFS) of AML patients.

Results: Pearson correlation analysis showed that there were negative correlations between ALB and CRP (r=-0.134, P=0002), as well as ALB and FER (r=-0.148, P=0.001). There were correlations between FER and CRP (r=0361, P<0.001), as well as FER and FIB (r=0.293, P<0.001). Logistic regression analysis showed that advanced age (>50 years) (OR=1.87, 95% CI=1.25-2.15, P<0.001), relapse after treatment (OR=2.11, 95% CI=111-3.18, P=0.003), FLT3-ITD mutation (OR=2.59, 95% CI=1.10-4.12, P<0.001), CRP≥524 mg/L (OR=1.21, 95% CI=1.02-2.14, P=0.024), CFA (CFA=CRP*FIB/ ALB)≥3 (OR=2.41, 95% CI=1.65-6.47, P<0.001), and FER≥1145.58 mg/ml (OR=1.67, 95% CI=1.15-3.75, P<0.001) were the risk factors for the survival of AML patients. ROC curve analysis showed that FER (AUC=0.752, 95% CI=0.681-0823, P<0.001, the best cut-off value=1220.56 mg/ml) and CFA (AUC=0.804, 95% CI=0.741-0.868, P<0.001, the best cut-off value=3.00) had higher predictive value for the survival of AML patients. The remission rate, PFS, DFS, and OS in the low CFA group (CFA≤3) were significantly higher than those in the high CFA group (CFA>3), and the overall mortality rate was lower than that in the high CFA group; the remission rate, PFS, DFS, and OS in the low FER group (FER≤1220.56 mg/ml) were significantly higher than those in the high FER group (FER>1220.56 mg/ml), while the overall mortality rate was lower than that in the high FER group, and the difference is statistically significant.

Conclusion: The CFA value and FER level before treatment in AML patients can independently predict the prognosis of patients, and high levels of CFA and FER are associated with poor prognosis of AML patients.

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