Clinical predictive models for chemotherapy-induced febrile neutropenia in breast cancer patients: a validation study.

ABSTRACT:

Background

Predictive models for febrile neutropenia (FN) would be informative for physicians in clinical decision making. This study aims to validate a predictive model (Jenkin's model) that comprises pretreatment hematological parameters in early-stage breast cancer patients.

Patients and methods

A total of 428 breast cancer patients who received neoadjuvant/adjuvant chemotherapy without any prophylactic use of colony-stimulating factor were included. Pretreatment absolute neutrophil counts (ANC) and absolute lymphocyte counts (ALC) were used by the Jenkin's model to assess the risk of FN. In addition, we modified the threshold of Jenkin's model and generated Model-A and B. We also developed Model-C by incorporating the absolute monocyte count (AMC) as a predictor into Mod

SUBMITTER: Chen K 

PROVIDER: S-EPMC4063732 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature