Suppr超能文献

开发和验证一个预测模型,用于预测老年乳腺癌、肺癌、结直肠癌和前列腺癌患者化疗第一周期中发热性中性粒细胞减少症的风险。

Development and validation of a prediction model for the risk of developing febrile neutropenia in the first cycle of chemotherapy among elderly patients with breast, lung, colorectal, and prostate cancer.

机构信息

David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

出版信息

Support Care Cancer. 2011 Mar;19(3):333-41. doi: 10.1007/s00520-010-0821-1. Epub 2010 Feb 24.

Abstract

PURPOSE

Current guidelines recommend prophylactic use of granulocyte-colony stimulating factors (G-CSF) when febrile neutropenia (FN) risk is greater than 20%. Advanced age is a risk factor for FN; however, little is known about the impact of other factors on the incidence of FN in an older population.

PATIENTS AND METHODS

We analyzed SEER-Medicare data (1994-2005) to develop and validate a prediction model for hospitalization with fever, infection, or neutropenia occurring after chemotherapy initiation for patients with breast, colorectal, prostate, and lung cancer.

RESULTS

In multivariate analysis (N = 58,053) independent predictors of FN included advanced stage at diagnosis [stage 2 (OR 1.29; 95% CI: 1.09-1.53), stage 3 (1.38; 95% CI: 1.19-1.60), and stage 4 (1.57; 95% CI: 1.35-1.83)], number of associated comorbid conditions [one condition (1.13; 95% CI: 1.02-1.28), two conditions (1.39; 95% CI: 1.22-1.57), and three or more conditions (1.81; 95% CI: 1.61-2.04)], receipt of myelosuppressive chemotherapy (1.11; 95% CI: 0.94-1.32), and receipt of chemotherapy within 1 month of diagnosis [1 to 3 months (0.70; 95% CI: 0.62-0.80) and greater than 3 months (0.63; 95% CI: 0.55-0.73)].

CONCLUSION

We created a prediction model for febrile neutropenia with first cycle of chemotherapy in a large population of elderly patients with common malignancies.

摘要

目的

目前的指南建议在发热性中性粒细胞减少症(FN)风险大于 20%时预防性使用粒细胞集落刺激因子(G-CSF)。高龄是 FN 的一个危险因素;然而,对于老年人群中 FN 发病率的其他因素的影响知之甚少。

患者和方法

我们分析了 SEER-Medicare 数据(1994-2005 年),以开发和验证用于预测接受乳腺癌、结直肠癌、前列腺癌和肺癌化疗的患者在化疗开始后因发热、感染或中性粒细胞减少而住院的预测模型。

结果

在多变量分析(N=58053)中,FN 的独立预测因素包括诊断时的晚期(2 期(OR 1.29;95%CI:1.09-1.53)、3 期(1.38;95%CI:1.19-1.60)和 4 期(1.57;95%CI:1.35-1.83))、相关合并症的数量[一种疾病(1.13;95%CI:1.02-1.28)、两种疾病(1.39;95%CI:1.22-1.57)和三种或更多疾病(1.81;95%CI:1.61-2.04)]、接受骨髓抑制化疗(1.11;95%CI:0.94-1.32)和在诊断后 1 个月内接受化疗[1 至 3 个月(0.70;95%CI:0.62-0.80)和超过 3 个月(0.63;95%CI:0.55-0.73)]。

结论

我们在一个患有常见恶性肿瘤的老年患者大人群中创建了一个预测模型,用于预测首次化疗周期的发热性中性粒细胞减少症。

相似文献

5
[OPERa Study].[OPERa研究]
Klin Onkol. 2013;26(6):425-33. doi: 10.14735/amko2013425.

引用本文的文献

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验