• 中国科学论文统计源期刊
  • 中国科技核心期刊
  • 美国化学文摘(CA)来源期刊
  • 日本科学技术振兴机构数据库(JST)

临床输血与检验 ›› 2022, Vol. 24 ›› Issue (3): 369-373.DOI: 10.3969/j.issn.1671-2587.2022.03.019

• 临床研究 • 上一篇    下一篇

个体化预测恶性淋巴瘤患者合并贫血风险的Nomogram模型建立*

李琚, 祝文娟   

  1. 247000 池州市人民医院
  • 收稿日期:2021-11-16 出版日期:2022-06-20 发布日期:2022-06-22
  • 通讯作者: 祝文娟,女,主任医师,主要从事血液病学方面研究,(E-mail)764675809@qq.com。
  • 作者简介:李琚(1986-),女,安徽石台人,主治医师,学士,主要从事血液病学方面研究,(E-mail)liju1930@126.com。
  • 基金资助:
    *本课题受2018年度安徽高校自然科学研究项目(No.KJ2018C0169)资助

Establishment of a Nomogram Model for Individualized Prediction of the Risk of Anemia in Patients with Malignant Lymphoma

LI Ju, ZHU Wen-juan   

  1. Chizhou People's Hospital, Chizhou 247000
  • Received:2021-11-16 Online:2022-06-20 Published:2022-06-22

摘要: 目的 构建预测恶性淋巴瘤患者合并贫血的风险列线图模型。方法 选取2016年1月~2021年7月在我院进行诊治的132例恶性淋巴瘤患者作为研究对象,采用LASSO分析和Logistic回归分析筛选独立危险因素,采用R(R3.5.3)软件建立预测恶性淋巴瘤患者合并贫血的风险列线图模型。结果 所选取的132例恶性淋巴瘤患者中有46例患者发生贫血,贫血的发生率为34.85%(46/132)。LASSO分析和Logistic回归分析结果显示,年龄≥60岁、性别、放疗、血清白蛋白<35 g/L、抽烟及饮酒是恶性淋巴瘤患者合并贫血的独立危险因素(P<0.05)。基于六项独立危险因素建立预测恶性淋巴瘤患者合并贫血的风险列线图模型,模型一致性指数(C-index)为0.862(95%CI:0.829~0.895),校正曲线与理想曲线基本一致,ROC曲线下面积(AUC)为0.845(95%CI:0.819~0.871),决策曲线显示阈值概率在3%~100%范围内时,具有较高的净获益值。结论 列线图有助于预测恶性淋巴瘤患者发生贫血的风险。

关键词: 恶性淋巴瘤, 贫血, LASSO分析, 危险因素, 列线图

Abstract: Objective To construct and validate a nomogram for predicting the risk of anemia in patients with malignant lymphoma. Methods A total of 132 patients with malignant lymphoma who were admitted to our hospital for diagnosis and treatment from January 2016 to July 2021 were enrolled. LASSO analysis and Logistic regression analysis were used to screen independent risk factors,and R(R3.5.3) software to establish a nomogram model for predicting the risk of anemia in patients with malignant lymphoma. Results 46(34.85%)patients developed anemia. The LASSO analysis and Logistic regression analysis showed that age ≥60 years,gender,radiotherapy,serum albumin concentration <35 g/L, smoking and drinking were independent risk factors (P<0.05). Accordingly,anomogram model was established based on these 6 independent predictors. The C-index was 0.862 (95%CI:0.829~0.895),and the calibration curve was basically consistent with the ideal curve. The AUC was 0.845(95%CI:0.819~0.871),and the decision curve showed that when the threshold probability was in the range of 3% to 100%,and there was a higher net benefit value. Conclusion The nomogram presents accurate and applicable prediction for the anemia risk in malignant lymphoma patients.

Key words: Malignant lymphoma, Anemia, LASSO analysis, Risk factors, Nomogram

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