Please use this identifier to cite or link to this item: https://doi.org/10.1177/1078155212457806
Title: Visualizing clinical predictors of febrile neutropenia in Asian cancer patients receiving myelosuppressive chemotherapy
Authors: Chen, C.
Chan, A. 
Yap, K.
Keywords: Clinical predictors
data reduction techniques
febrile neutropenia
multiple correspondence analysis
principal component analysis
Issue Date: Jun-2013
Citation: Chen, C.,Chan, A.,Yap, K. (2013-06). Visualizing clinical predictors of febrile neutropenia in Asian cancer patients receiving myelosuppressive chemotherapy. Journal of Oncology Pharmacy Practice 19 (2) : 111-120. ScholarBank@NUS Repository. https://doi.org/10.1177/1078155212457806
Abstract: Purpose: Febrile neutropenia is a serious complication among cancer patients receiving myelosuppressive chemotherapy. Patient-specific risk factors, chemotherapy-related and disease-related characteristics can affect the clinical outcome and management of febrile neutropenia. Although many factors have been identified, they vary among different patient populations. We identified clinically-relevant febrile neutropenia predictors in Asian cancer patients through visualization of these factors. Methods: A single-centered, retrospective study was conducted from May to July 2011 at a local cancer center. Demographics and risk factor data were collated from electronic health records and four cancer registries. Data were summarized using descriptive statistics. Additionally, potential febrile neutropenia predictors were identified using categorical principal component and multiple correspondence analyses. Results: A total of 583 patients were analyzed. Majority was females (79%), Chinese (75%) and diagnosed with breast cancers (60%). Six risk factors were identified as potential predictors: types of cancer (16.9-19.8% of variance), chemotherapy regimen (anthracycline-based 11.8-12.9%, taxane-based 8.1%), liver function tests (alanine transaminase 8.6%, alkaline phosphatase 4.0%), renal function tests (serum creatinine 3.1%), prior granulocyte colony stimulating factor use (5.6%) and diabetes mellitus (6.6-6.9%). In terms of cancer types, lymphomas were more predictive than breast cancers. Conclusion: From our knowledge, this is the first study that has identified clinically-relevant febrile neutropenia predictors in Asian cancer patients through visualization of their risk factors. The use of these predictors to identify patients at risk for adverse reactions, such as FN, can allow clinicians to optimize prophylactic granulocyte colony stimulating factor usage in these patients. © The Author(s) 2012.
Source Title: Journal of Oncology Pharmacy Practice
URI: http://scholarbank.nus.edu.sg/handle/10635/106508
ISSN: 10781552
DOI: 10.1177/1078155212457806
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