恶性淋巴瘤骨髓累及的有用实验室标志物。

Useful laboratory markers for the diagnosis of bone marrow involvement by malignant lymphoma.

机构信息

Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Department of Clinical Laboratory, Hamanomachi Hospital, Fukuoka, Japan.

出版信息

Int J Lab Hematol. 2018 Feb;40(1):34-40. doi: 10.1111/ijlh.12725. Epub 2017 Sep 6.

DOI:10.1111/ijlh.12725

PMID:28876549

Abstract

INTRODUCTION

This study aimed to investigate the effect of bone marrow involvement by malignant lymphoma (BMI) on laboratory data and to determine the useful laboratory markers for diagnosing BMI.

METHODS

We compared laboratory data between patients with and without BMI. We performed multivariate logistic regression and receiver operating characteristic (ROC) analyses to evaluate the diagnostic values of independent predictors.

RESULTS

In the BMI group, platelets in peripheral blood (PLT) and megakaryocyte count in bone marrow (MgK) were significantly lower than those in the non-BMI group (PLT, P < .0001; MgK, P = .0384). The rate of peripheral blood involvement by malignant lymphoma (PBI), red blood cell distribution width (RDW), D-dimer (DD), soluble interleukin-2 receptor (sIL2R), aspartate aminotransferase (AST), and lactate dehydrogenase (LDH) was significantly higher in the BMI group than in the non-BMI group (PBI, P < .0001; RDW, P = .0190; DD, P = .0006; sIL2R, P < .0001; AST, P = .0256; LDH, P = .0002). In multivariate analysis, PBI, PLT, sIL2R, and MgK levels were independent predictors of BMI.

CONCLUSION

PBI, PLT, sIL2R, and MgK may be the useful laboratory markers for BMI diagnosis.

摘要

简介

本研究旨在探讨恶性淋巴瘤骨髓累及（BMI）对实验室数据的影响，并确定诊断 BMI 的有用实验室标志物。

方法

我们比较了 BMI 组和非 BMI 组患者的实验室数据。我们进行了多变量逻辑回归和受试者工作特征（ROC）分析，以评估独立预测因子的诊断价值。

结果

在 BMI 组中，外周血血小板（PLT）和骨髓巨核细胞计数（MgK）明显低于非 BMI 组（PLT，P<0.0001；MgK，P=0.0384）。恶性淋巴瘤外周血累及率（PBI）、红细胞分布宽度（RDW）、D-二聚体（DD）、可溶性白细胞介素-2 受体（sIL2R）、天门冬氨酸氨基转移酶（AST）和乳酸脱氢酶（LDH）在 BMI 组明显高于非 BMI 组（PBI，P<0.0001；RDW，P=0.0190；DD，P=0.0006；sIL2R，P<0.0001；AST，P=0.0256；LDH，P=0.0002）。多变量分析显示，PBI、PLT、sIL2R 和 MgK 水平是 BMI 的独立预测因子。