Suppr超能文献

弥漫性大B细胞淋巴瘤患者化疗后发热性中性粒细胞减少症发生的预测模型:一项多中心、回顾性、观察性研究

Predictive Model for Occurrence of Febrile Neutropenia after Chemotherapy in Patients with Diffuse Large B-Cell Lymphoma: A Multicenter, Retrospective, Observational Study.

作者信息

Morimoto Masaya, Yokoya Yuma, Yoshida Kikuaki, Kosako Hideki, Hori Yoshikazu, Mushino Toshiki, Tamura Shinobu, Ito Reiko, Koyamada Ryosuke, Yamashita Takuya, Mori Shinichiro, Mori Nobuyoshi, Ohde Sachiko

机构信息

Department of Hematology/Oncology, Kinan Hospital, Wakayama 646-8588, Japan.

Department of Hematology/Oncology, Wakayama Medical University, Wakayama 641-8509, Japan.

出版信息

Hematol Rep. 2024 Feb 7;16(1):76-88. doi: 10.3390/hematolrep16010008.

Abstract

Febrile neutropenia (FN) is a major concern in patients undergoing chemotherapy for diffuse large B-cell lymphoma (DLBCL); however, the overall risk of FN is difficult to assess. This study aimed to develop a model for predicting the occurrence of FN in patients with DLBCL. In this multicenter, retrospective, observational analysis, a multivariate logistic regression model was used to analyze the association between FN incidence and pretreatment clinical factors. We included adult inpatients and outpatients (aged ≥ 18 years) diagnosed with DLBCL who were treated with chemotherapy. The study examined 246 patients. Considering FN occurring during the first cycle of chemotherapy as the primary outcome, a predictive model with a total score of 5 points was constructed as follows: 1 point each for a positive hepatitis panel, extranodal involvement, and a high level of soluble interleukin-2 receptor and 2 points for lymphopenia. The area under the receiver operating characteristic curve of this model was 0.844 (95% confidence interval: 0.777-0.911). Our predictive model can assess the risk of FN before patients with DLBCL start chemotherapy, leading to better outcomes.

摘要

发热性中性粒细胞减少症(FN)是弥漫性大B细胞淋巴瘤(DLBCL)患者化疗过程中的一个主要问题;然而,FN的总体风险难以评估。本研究旨在建立一个预测DLBCL患者发生FN的模型。在这项多中心、回顾性、观察性分析中,采用多变量逻辑回归模型分析FN发生率与预处理临床因素之间的关联。我们纳入了诊断为DLBCL并接受化疗的成年住院患者和门诊患者(年龄≥18岁)。该研究共检查了246例患者。将化疗第一周期期间发生的FN作为主要结局,构建了一个总分为5分的预测模型,具体如下:乙肝检测阳性、结外受累和可溶性白细胞介素-2受体水平高各得1分,淋巴细胞减少得2分。该模型的受试者工作特征曲线下面积为0.844(95%置信区间:0.777 - 0.911)。我们的预测模型可以在DLBCL患者开始化疗前评估FN风险,从而带来更好的治疗结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ef2/10885064/11298962ba36/hematolrep-16-00008-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验