Literature DB >> 34176018

Clinical utility of a prediction tool to differentiate between breast cancer patients at high or low risk of chemotherapy-induced nausea and vomiting.

Mashari Jemaan Alzahrani1, George Dranitsaris2, Marta Sienkiewicz3, Lisa Vandermeer3, Mark Clemons4,5.   

Abstract

BACKGROUND: A personalized risk model (PRM) that can categorize patients into high or low risk of ≥ grade 2 acute and/or delayed chemotherapy-induced nausea and vomiting (CINV) was previously developed. The current study assessed whether the PMR could accurately stratify patients' risk for other commonly used CINV endpoints.
METHODS: Data was pooled from a previously reported trial evaluating CINV in patients with breast cancer (BC) receiving neo/adjuvant anthracycline-cyclophosphamide or carboplatin-based chemotherapy. The predictive ability of the PRM was compared to patient experience of any self-reported significant nausea, any vomiting, complete cycle response, and use of rescue medications, over all cycles of chemotherapy.
RESULTS: Data was available from 242 patients over 819 chemotherapy cycles. Irrespective of the chosen antiemetics, significant nausea was common when evaluated across repeated cycles of treatment with an overall incidence of 24.2% in low-risk patients and 34.6% in high-risk patients. Patients identified as high risk of CINV using the PRM were 4.73 (p = 0.011) times more likely to develop significant nausea than those identified as low risk. The PRM did not show any significant statistical differences between both groups in overall vomiting, complete cycle response, or rescue medications use.
CONCLUSION: The PRM was able to identify patients at greater risk of significant nausea but not the other CINV endpoints. As nausea remains a pertinent issue for patients with BC, the PRM could be used to identify these patients a priori for innovative treatment strategies.

Entities:  

Keywords:  Breast cancer; Chemotherapy-induced nausea and vomiting; Olanzapine; Personal risk model

Year:  2021        PMID: 34176018     DOI: 10.1007/s00520-021-06358-8

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


  2 in total

1.  Prospective validation of a prediction tool for identifying patients at high risk for chemotherapy-induced nausea and vomiting.

Authors:  George Dranitsaris; Nathaniel Bouganim; Carolyn Milano; Lisa Vandermeer; Susan Dent; Paul Wheatley-Price; Jenny Laporte; Karen-Ann Oxborough; Mark Clemons
Journal:  J Support Oncol       Date:  2013-03

Review 2.  Chemotherapy-induced nausea and vomiting: clinician and patient perspectives.

Authors:  Lee S Schwartzberg
Journal:  J Support Oncol       Date:  2007-02
  2 in total

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