Ellwardt Erik, Ellwardt Lea, Bittner Stefan, Zipp Frauke
Focus Program Translational Neurosciences (FTN) and Immunology (FZI) (E.E., S.B., F.Z.), Rhine Main Neuroscience Network (rmn), Department of Neurology, University Medical Center of the Johannes Gutenberg University Mainz; and Institute of Sociology and Social Psychology (L.E.), University of Cologne, Germany.
Neurol Neuroimmunol Neuroinflamm. 2018 Apr 25;5(4):e463. doi: 10.1212/NXI.0000000000000463. eCollection 2018 Jul.
To determine the factors that influence B-cell repopulation after B-cell depletion therapy in neurologic patients and derive recommendations for monitoring and dosing of patients.
In this study, we determined the association of body surface area (BSA; calculated by body weight and height with the Dubois formula), sex, pretreatment therapy, age, CSF data, and white blood cell counts with the risk and timing of B-cell repopulation, defined as 1% CD19 cells (of total lymphocytes), following 87 B cell-depleting anti-CD20 treatment cycles of 45 neurologic patients (28 women; mean age ± SD, 44.5 ± 15.0 years).
Patients with a larger BSA had a higher probability to reach 1% CD19 cells than those with a smaller BSA ( < 0.05) following B-cell depletion therapy, although those patients had received BSA-adapted doses of rituximab (375 mg/m). Sex, pretreatment, age, CSF data, or absolute lymphocyte and leukocyte counts during treatment did not significantly influence CD19 B-cell recovery in the fully adjusted models. Intraindividual B-cell recovery in patients with several treatment cycles did not consistently change over time.
B-cell repopulation after depletion therapy displays both high inter- and intra-individual variance. Our data indicate that a larger BSA is associated with faster repopulation of B cells, even when treatment is adapted to the BSA. A reason is the routinely used Dubois formula, underestimating a large BSA. In these patients, there is a need for a higher therapy dose. Because B-cell count-dependent therapy regimes are considered to reduce adverse events, B-cell monitoring will stay highly relevant. Patients' BSA should thus be determined using the Mosteller formula, and close monitoring should be done to avoid resurgent B cells and disease activity.
确定影响神经科患者B细胞清除治疗后B细胞重建的因素,并得出患者监测和给药的建议。
在本研究中,我们确定了体表面积(BSA;用杜波依斯公式根据体重和身高计算)、性别、预处理治疗、年龄、脑脊液数据以及白细胞计数与45例神经科患者(28名女性;平均年龄±标准差,44.5±15.0岁)接受87个B细胞清除抗CD20治疗周期后B细胞重建的风险和时间的关联,B细胞重建定义为CD19细胞(占总淋巴细胞的1%)。
尽管这些患者接受了根据BSA调整剂量的利妥昔单抗(375mg/m²),但B细胞清除治疗后,BSA较大的患者比BSA较小的患者达到1% CD19细胞的概率更高(P<0.05)。在完全调整模型中,性别、预处理、年龄、脑脊液数据或治疗期间的绝对淋巴细胞和白细胞计数对CD19 B细胞恢复没有显著影响。接受多个治疗周期的患者个体内B细胞恢复并未随时间持续变化。
清除治疗后的B细胞重建在个体间和个体内均表现出高度差异。我们的数据表明,即使治疗根据BSA进行调整,较大的BSA也与B细胞更快重建相关。原因是常用的杜波依斯公式低估了较大的BSA。在这些患者中,需要更高的治疗剂量。由于依赖B细胞计数的治疗方案被认为可减少不良事件,B细胞监测仍将高度相关。因此,应使用莫斯特勒公式确定患者的BSA,并进行密切监测以避免B细胞复苏和疾病活动。