Literature DB >> 21605937

Importance of monitoring renal function in patients with cancer.

Matti Aapro1, Vincent Launay-Vacher.   

Abstract

Monitoring renal function in patients with solid tumors and hematologic malignancies is vital to the safe administration of therapeutic agents. Renal impairment is frequent in elderly patients (i.e., age ≥ 65) with cancer, despite normal serum creatinine levels in most patients. Because serum creatinine levels do not accurately reflect clearance rates, renal function should be estimated by calculation (either Cockcroft-Gault or abbreviated Modification of Diet in Renal Disease [aMDRD] equations) or by measuring creatinine clearance using a 24-h urine collection. Additionally, patients with cancer often have preexisting comorbidities or other risk factors that increase the probability of renal impairment before receiving potentially nephrotoxic therapies. Patient age, preexisting renal dysfunction, and chronic comorbidities (e.g., diabetes, kidney disease, hypertension, and cardiac insufficiency) all contribute to the risk of renal impairment. Furthermore, both cancer and its therapies may lead to renal impairment. A number of cancer therapy agents are nephrotoxic, including chemotherapy agents, molecular targeted agents, pain management agents, radiopharmaceuticals, contrast agents used in radiology, and antiresorptive agents, and contrast agents used in radiology are nephrotoxic as well. Undetected decreases in clearance rates by the kidneys can greatly increase exposure to treatment agents, possibly decreasing the safety of treatment and exacerbating renal impairment. In conclusion, all cancer patients, not only those receiving potentially nephrotoxic agents, require renal monitoring. Copyright Â
© 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21605937     DOI: 10.1016/j.ctrv.2011.05.001

Source DB:  PubMed          Journal:  Cancer Treat Rev        ISSN: 0305-7372            Impact factor:   12.111


  16 in total

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2.  Bone-modifying agents in the treatment of bone metastases in patients with advanced genitourinary malignancies: a focus on zoledronic acid.

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Journal:  Clin Exp Nephrol       Date:  2014-10-04       Impact factor: 2.801

Review 4.  Individualizing pharmacotherapy in patients with renal impairment: the validity of the Modification of Diet in Renal Disease formula in specific patient populations with a glomerular filtration rate below 60 ml/min. A systematic review.

Authors:  Willemijn L Eppenga; Cornelis Kramers; Hieronymus J Derijks; Michel Wensing; Jack F M Wetzels; Peter A G M De Smet
Journal:  PLoS One       Date:  2015-03-05       Impact factor: 3.240

5.  Prevalence of renal impairment and use of nephrotoxic agents among patients with bone metastases from solid tumors in the United States.

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Journal:  Cancer Med       Date:  2015-02-08       Impact factor: 4.452

6.  Prevalence of renal insufficiency in elderly cancer patients in a tertiary cancer center.

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7.  Plasmacytoid dendritic cells promote acute kidney injury by producing interferon-α.

Authors:  Bo Deng; Yuli Lin; Yusheng Chen; Shuai Ma; Qian Cai; Wenji Wang; Bingji Li; Tingyan Liu; Peihui Zhou; Rui He; Feng Ding
Journal:  Cell Mol Immunol       Date:  2020-01-03       Impact factor: 11.530

8.  Trends in serum creatinine testing in Oxfordshire, UK, 1993-2013: a population-based cohort study.

Authors:  Jason Oke; Brian Shine; Emily McFadden; Richard Stevens; Daniel Lasserson; Rafael Perera
Journal:  BMJ Open       Date:  2015-12-16       Impact factor: 2.692

9.  Renal Function and All-Cause Mortality Risk Among Cancer Patients.

Authors:  Yan Yang; Hui-Yan Li; Qian Zhou; Zhen-Wei Peng; Xin An; Wei Li; Li-Ping Xiong; Xue-Qing Yu; Wen-Qi Jiang; Hai-Ping Mao
Journal:  Medicine (Baltimore)       Date:  2016-05       Impact factor: 1.889

10.  Areca Nut Chewing and an Impaired Estimated Glomerular Filtration Rate as Significant Risk Factors for Non-Muscle-Invasive Bladder Cancer Recurrence.

Authors:  Jian Cao; Ran Xu; Xiaokun Zhao; Zhaohui Zhong; Lei Zhang; Xuan Zhu; Shuiqing Wu; Kai Ai
Journal:  Sci Rep       Date:  2016-07-07       Impact factor: 4.379

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