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Innovative analysis of predictors for overall survival from systemic non-Hodgkin T cell lymphoma using quantile regression analysis

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收录情况: ◇ SCIE ◇ 统计源期刊 ◇ CSCD-C ◇ 中华系列

单位: [1]Department of Hematology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China [2]Department of Child, Adolescent and Maternal Health, School of Public Health, Capital Medical University, Beijing 100069, China.
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关键词: Systemic non-Hodgkin T cell lymphoma Overall survival Quantile regression analysis

摘要:
Background: Non-Hodgkin T/NK cell lymphoma is a rare and widely variable type of lymphoma with the most dismal prognosis. This study aimed to investigate varied impact of the clinical indicators to the overall survival (OS). Methods: We conducted a retrospective study to identify the non-invasive clinical features of T cell lymphoma that can predict prognosis with an innovative analysis method using quantile regression. A total of 183 patients who visited a top-tier hospital in Beijing, China, were enrolled from January 2006 to December 2015. Demographic information and main clinical indicators were collected including age, erythrocyte sedimentation rate (ESR), survival status, and international prognostic index (IPI) score. Results: The median age of the patients at diagnosis was 45 years. Approximately 80% of patients were at an advanced stage, and the median survival time after diagnosis was 5.1 months. Multivariable analysis of the prognostic factors for inferior OS associated with advanced clinical staging [HR=3.16, 95%C1 (1.39-7.2)], lower platelet count [HR =2.57, 95%CI (1.57-4.19), P < 0.001] and higher IPI score [HR =1.29, 95%CI (1.01-1.66), P=0.043]. Meanwhile, T cell lymphoblastic lymphoma [HR =0.40, 95%Cl (0.20-0.80), P=0.010], higher white blood cell counts [HR =0.57, 95%CI (0.34-0.96), P=0.033], higher serum albumin level [I IR =0.6, 95%Cl (0.37-0.97), P=0.039], and higher ESR [I IR =0.53, 95%C[ (0.33-0.87), P=0.0111 were protective factors for OS when stratified by hemophagocytic lymphohistiocytosis (HLH). Multivariable quantile regression between the OS rate and each predictor at quartiles 0.25, 0.5, 0,75, and 0.95 showed that the coefficients of serum beta 2-microglobulin level and serum ESR were statistically significant in the middle of the coefficient curve (quartile 0.25-0.75). The coefficient of 111 was negatively associated with OS. The coefficients of hematopoietic stem cell transplantation (HSCT) and no clinical symptoms were higher at the middle of the quartile level curve but were not statistically significant. Conclusions: The IPI score is a comparatively robust indicator of prognosis at 3 quartiles, and serum ESR is stable at the middle 2 quartiles section when adjusted for I 1111. Quantile regression can be used to observe detailed impacts of the predictors on OS.

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出版当年[2018]版:
大类 | 4 区 医学
小类 | 4 区 医学:内科
最新[2025]版:
大类 | 2 区 医学
小类 | 2 区 医学:内科
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出版当年[2017]版:
Q2 MEDICINE, GENERAL & INTERNAL
最新[2023]版:
Q1 MEDICINE, GENERAL & INTERNAL

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2017版] 出版当年五年平均[2013-2017] 出版前一年[2016版] 出版后一年[2018版]

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第一作者单位: [1]Department of Hematology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
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通讯机构: [1]Department of Hematology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China [*1]Department of Hematology, Beijing Friendship Hospital, Capital Medical University, 95 Yong’an Road, Xicheng District, Beijing 100050, China
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