Toxicol Res.  2012 Jun;28(2):81-91.

Exploring Chemotherapy-Induced Toxicities through Multivariate Projection of Risk Factors: Prediction of Nausea and Vomiting

Affiliations
  • 1Institute of Digital Healthcare, WMG, University of Warwick, International Digital Laboratory, Coventry, CV4 7AL, United Kingdom. k.yap@warwick.ac.uk
  • 2Department of Pharmacy, Faculty of Science, National University of Singapore, Block S4, 18 Science Drive 4, Singapore 117543.
  • 3Department of Pharmacy, National Cancer Centre Singapore, 11 Hospital Drive, Singapore 169610.

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.

Keyword

Chemotherapy-induced nausea and vomiting; Multivariate projection; Principal component analysis; Principal variables; Risk factors

MeSH Terms

Alcohol Drinking
Antineoplastic Combined Chemotherapy Protocols
Asian Continental Ancestry Group
Demography
Deoxycytidine
Drinking
Fatigue
Female
Fluorouracil
Humans
Nausea
Principal Component Analysis
Prospective Studies
Quality of Life
Risk Factors
Singapore
Vomiting
Antineoplastic Combined Chemotherapy Protocols
Deoxycytidine
Fluorouracil
Full Text Links
  • TR
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr