[usPropHeader] Error loading user control: The file '/CMSWebParts/WK.HLRP/LNC/LNCProductHeader.ascx' does not exist.

Buy this Article for $7.95

Have a coupon or promotional code? Enter it here:

When you buy this you'll get access to the ePub version, a downloadable PDF, and the ability to print the full article.

Keywords

Breast cancer, Chemotherapy-induced neutropenia, Risk assessment model

 

Authors

  1. Chang, Li-Lu DNP, RN
  2. Schneider, Susan M. PhD, RN
  3. Chiang, Shao-Chin PharmD
  4. Horng, Cheng-Fang MS

Abstract

Background: Several studies have documented the efficacy of prophylactic granulocyte colony-stimulating factor in reducing rates of infections and risk of febrile neutropenia. An appropriate risk assessment model is pivotal to identify high-risk patients who would require granulocyte colony-stimulating factor prophylaxis.

 

Objective: The objectives of the study were to develop, implement, and evaluate a risk assessment model for neutropenic events in breast cancer patients who were receiving myelosuppressive chemotherapy.

 

Methods: During the study period, neutropenia risk was assessed for breast cancer patients by using an innovative risk model before the first cycle of chemotherapy. A stepwise logistic regression model was performed to determine significant factors for the prediction.

 

Results: A total of 119 patients were evaluated for neutropenia risk between August 2010 and December 2010. Twenty-nine percent (35/119) of the patients have experienced at least 1 neutropenic event during the initial 3 cycles of chemotherapy. Based on the logistic regression model, only the risk score was retained as the significant predictor; the probability of an individual patient developing neutropenic events increased 1.24 times by increasing 1 score number (odds ratio, 1.24; with 95% confidence interval, 1.063-1.457).

 

Conclusions: Based on the examination of different cutoff points, the performance of the risk model is best when the risk threshold is set at 6, which was found to have a sensitivity of 0.49 and a specificity of 0.69; the misclassification rate was 0.37, with a positive predictive value of 0.40 and a negative predictive value of 0.76.

 

Implications for Practice: The results of this project support incorporating the discussed risk assessment model into routine nursing assessments to prevent neutropenic complications.