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Risk assessment model for first-cycle chemotherapy-induced neutropenia in patients with solid tumours

LÓPEZ-POUSA A., RIFÀ J., CASAS DE TEJERINA A., GONZÁLEZ-LARRIBA J.L., IGLESIAS C., GASQUET J.A. & CARRATO A. (2010) European Journal of Cancer Care Risk assessment model for first-cycle chemotherapy-induced neutropenia in patients with solid tumours Chemotherapy-induced neutropenia, the major do...

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Detalles Bibliográficos
Autores principales: LÓPEZ-POUSA, A, RIFÀ, J, CASAS DE TEJERINA, A, GONZÁLEZ-LARRIBA, JL, IGLESIAS, C, GASQUET, JA, CARRATO, A
Formato: Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3082427/
https://www.ncbi.nlm.nih.gov/pubmed/20088918
http://dx.doi.org/10.1111/j.1365-2354.2009.01121.x
Descripción
Sumario:LÓPEZ-POUSA A., RIFÀ J., CASAS DE TEJERINA A., GONZÁLEZ-LARRIBA J.L., IGLESIAS C., GASQUET J.A. & CARRATO A. (2010) European Journal of Cancer Care Risk assessment model for first-cycle chemotherapy-induced neutropenia in patients with solid tumours Chemotherapy-induced neutropenia, the major dose-limiting toxicity of chemotherapy, is directly associated with concomitant morbidity, mortality and health-care costs. The use of prophylactic granulocyte colony-stimulating factors may reduce the incidence and duration of chemotherapy-induced neutropenia, and is recommended in high-risk patients. The objective of this study was to develop a model to predict first-cycle chemotherapy-induced neutropenia (defined as neutropenia grade ≥3, with or without body temperature ≥38°C) in patients with solid tumours. A total of 1194 patients [56% women; mean age 58 ± 12 years; 94% Eastern Cooperative Oncology Group (ECOG) status ≤1] with solid tumours were included in a multi-centre non-interventional prospective cohort study. A predictive logistic regression model was developed. Several factors were found to influence chemotherapy-induced neutropenia. Higher ECOG status values increased toxicity (ECOG 2 vs. 0, P= 0.003; odds ratio 3.12), whereas baseline lymphocyte (P= 0.011; odds ratio 0.67) and neutrophil counts (P= 0.026; odds ratio 0.90) were inversely related to neutropenia occurrence. Sex and treatment intention also significantly influenced chemotherapy-induced neutropenia (P= 0.012). The sensitivity and specificity of the model were 63% and 67% respectively, and the positive and negative predictive values were 17% and 94% respectively. Once validated, this model should be a useful tool for clinical decision making.