检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:王诗轩 聂彦博 鞠满凯 孙婷 李慧媛 张冬雷 张磊 杨仁池 Wang Shixuan;Nie Yanbo;Ju Mankai;Sun Ting;Li Huiyuan;Zhang Donglei;Zhang lei;Yang Renchi(Institute of Hematology & Blood Disease Hospital, CAMS & PUMC, Tianjin 300020, Chin)
机构地区:[1]中国医学科学院、北京协和医学院血液病医院(血液学研究所)、实验血液学国家重点实验室,天津300020 [2]南昌大学第一附属医院血液科,330006 [3]天津协和华美医学诊断技术有限公司
出 处:《中华血液学杂志》2018年第7期573-578,共6页Chinese Journal of Hematology
基 金:国际自然科学基金(81470286、81670118)
摘 要:目的探讨血小板计数水平在成人慢性原发免疫性血小板减少症(ITP)患者利妥昔单抗疗效预测中的价值。方法回顾性分析2011年1月1日至2014年12月31日期间接受利妥昔单抗治疗(100mg每周1次,连用4次)慢性ITP患者的临床资料,计算利妥昔单抗治疗后不同随访时间截点血小板计数预测疗效的敏感性、特异性和阳性预测值、阴性预测值,并通过ROC曲线下面积得出最佳截断点。结果103例患者纳入研究,男46例,女57例,中位年龄30(18-67)岁。首剂利妥昔单抗后第1、5、7天,成功组(治疗后PLT≥50×10^9/L且未接受其他药物治疗)与无效组(治疗后PLT〈50×10^9/L)中位血小板计数差异均无统计学意义(P〉0.05);利妥昔单抗治疗后第14天,成功组中位血小板计数高于无效组[41(8-384)×10^9/L对23(0-106)×10^9/L,P=0.003];在随后的各随访截点,成功组中位血小板计数进一步回升并维持于正常水平,无效组中位血小板计数均低于正常水平。以ROC曲线获得的预测治疗反应的优化界限值血小板计数50×10^9/L为基础,首剂妥昔单抗治疗后第14、30、60天血小板计数能够组成一个预后评估体系。结论利妥昔单抗治疗后第14、30、60天血小板计数能够组成一个疗效预测评估体系,有助于随访和制定治疗计划。Objective To investigate the value of platelet count in predicting the efficacy of rituximab treatment in chronic primary immune thrombocytopenia (ITP). Methods A retrospective study was conducted in 103 chronic ITP patients hospitalized in our medical center between January 2011 and December 2014. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) of platelet count in different time points were analyzed for the predictor of treatment response. Optimal cutoff values were established using ROC analysis. Results A total of 103 patients were included in the study. There were 46 males and 57 females, with a median age of 30 08-67) years. At day l, 3 and 7 after the first dose of rituximab, there was no significant difference in platelet counts between the success group (PLT≥50×10^9/L after treatment) and the failure group (PLT≤50×10^9/L after treatment) (P 〉 0.05). At day 14 after rituximab treatment (PTD 14), platelet counts became significantly different in the success and failure groups [41(8-384)×10^9/L vs 23(0-106)×10^9/L, P = 0.003], and remained different thereafter, with increasing significance in the subsequent follow-ups. Patients were divided further using an optimal cut-off platelet count of 50×10^9/L on PTD 14, PTD 30, and PTD 60, and PPV and NPV values were calculated for predicting eventual success and failure. Conclusion Response can be predicted by obtaining platelet counts at 14, 30 and 60 days after rituximab treatment. The study proposed a protocol that guides patient monitoring and management planning.
分 类 号:R558.2[医药卫生—血液循环系统疾病]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.21.93.159