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Exploring chemotherapy-induced toxicities through multivariate projection of risk factors : prediction of nausea and vomiting

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Yap, Kevin Yi-Lwern, Low, Xiu Hui and Chan, Alexandre (2012) Exploring chemotherapy-induced toxicities through multivariate projection of risk factors : prediction of nausea and vomiting. Toxicological Research, Volume 28 (Number 2). pp. 81-91. doi:10.5487/TR.2012.28.2.081 ISSN 1976-8257.

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Official URL: http://dx.doi.org/10.5487/TR.2012.28.2.081

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Abstract

Many risk factors exist for chemotherapy-induced nausea and vomiting (CINV). This study utilized a multivariate projection technique to identify which risk factors were predictive of CINV in clinical practice. A single-centre, prospective, observational study was conducted from January 2007~July 2010 in Singapore. Patients were on highly (HECs) and moderately emetogenic chemotherapies with/without radiotherapy. Patient demographics and CINV risk factors were documented. Daily recording of CINV events was done using a standardized diary. Principal component (PC) analysis was performed to identify which risk factors could differentiate patients with and without CINV. A total of 710 patients were recruited. Majority were females (67%) and Chinese (84%). Five risk factors were potential CINV predictors: histories of alcohol drinking, chemotherapy-induced nausea, chemotherapy-induced vomiting, fatigue and gender. Period (ex-/current drinkers) and frequency of drinking (social/chronic drinkers) differentiated the CINV endpoints in patients on HECs and anthracycline-based, and XELOX regimens, respectively. Fatigue interference and severity were predictive of CINV in anthracycline-based populations, while the former was predictive in HEC and XELOX populations. PC analysis is a potential technique in analyzing clinical population data, and can provide clinicians with an insight as to what predictors to look out for in the clinical assessment of CINV. We hope that our results will increase the awareness among clinician-scientists regarding the usefulness of this technique in the analysis of clinical data, so that appropriate preventive measures can be taken to improve patients' quality of life

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: Toxicological Research
Publisher: Han'gug Dogseong Haghoe
ISSN: 1976-8257
Official Date: 2012
Dates:
DateEvent
2012Published
Volume: Volume 28
Number: Number 2
Page Range: pp. 81-91
DOI: 10.5487/TR.2012.28.2.081
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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