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老年患者的血液系统恶性肿瘤:聚焦老年评估管理的潜在作用

Hematological Malignancies in Older Patients: Focus on the Potential Role of a Geriatric Assessment Management.

作者信息

Caserta Santino, Cancemi Gabriella, Loreta Silverio, Allegra Alessandro, Stagno Fabio

机构信息

Division of Hematology, Department of Human Pathology in Adulthood and Childhood "Gaetano Barresi", University of Messina, via Consolare Valeria, 98125 Messina, Italy.

出版信息

Diagnostics (Basel). 2024 Jun 29;14(13):1390. doi: 10.3390/diagnostics14131390.

DOI:10.3390/diagnostics14131390
PMID:39001280
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11241324/
Abstract

Geriatric assessment management is a multidimensional tool used to evaluate prognosis for clinical outcomes and targets for interventions in older adults with cancer receiving chemotherapy. In this review, we evaluated the possible application of geriatric assessment management (GAM) in hematological malignancies. In older patients with Diffuse Large B Cell Lymphoma, GAM might be helpful in both predicting planned hospital admissions and improving quality of life. In chronic myeloid leukemia, the Charlson Comorbidity Index demonstrates how comorbidities could affect treatment compliance and overall outcomes. In multiple myeloma, the application of different scores such as the International Myeloma Working Group Frailty Index and the Revised Myeloma Comorbidity Index can identify frail patients who need suitable interventions in treatment plan (reducing drug dose or changing treatment). Therefore, including GAM in the management plan of older patients with hematological malignancies may direct and optimize cancer care.

摘要

老年评估管理是一种多维度工具,用于评估接受化疗的老年癌症患者的临床结局预后和干预目标。在本综述中,我们评估了老年评估管理(GAM)在血液系统恶性肿瘤中的可能应用。在老年弥漫性大B细胞淋巴瘤患者中,GAM可能有助于预测计划住院情况并改善生活质量。在慢性粒细胞白血病中,查尔森合并症指数显示了合并症如何影响治疗依从性和总体结局。在多发性骨髓瘤中,应用不同的评分,如国际骨髓瘤工作组虚弱指数和修订的骨髓瘤合并症指数,可以识别出在治疗计划中需要适当干预(减少药物剂量或改变治疗方案)的虚弱患者。因此,将GAM纳入老年血液系统恶性肿瘤患者的管理计划可能会指导并优化癌症护理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd30/11241324/7f8a5b980741/diagnostics-14-01390-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd30/11241324/7f8a5b980741/diagnostics-14-01390-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd30/11241324/7f8a5b980741/diagnostics-14-01390-g001.jpg

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BMC Cancer. 2024 May 30;24(1):661. doi: 10.1186/s12885-024-12415-2.
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Understanding health outcome preferences of older adults diagnosed with multiple myeloma.了解诊断为多发性骨髓瘤的老年患者的健康结局偏好。
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Comparison of Comorbidity Models Within a Population-Based Cohort of Older Adults With Non-Hodgkin Lymphoma.
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JCO Clin Cancer Inform. 2024 Apr;8:e2300223. doi: 10.1200/CCI.23.00223.
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Evaluation of a machine-learning model based on laboratory parameters for the prediction of acute leukaemia subtypes: a multicentre model development and validation study in France.基于实验室参数的机器学习模型对急性白血病亚型预测的评估:法国多中心模型开发和验证研究。
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