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Prognostic evaluation of febrile neutropenia in apparently stable adult cancer patients

BACKGROUND: Predictive models to identify low-risk febrile neutropenia (FN) have been developed with heterogeneous samples, which included stable and unstable patients, solid tumours, acute leukaemia and bone marrow transplantation. These models fail to recognise 5–15% of cases with unexpected compl...

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Detalles Bibliográficos
Autores principales: Carmona-Bayonas, A, Gómez, J, González-Billalabeitia, E, Canteras, M, Navarrete, A, Gonzálvez, M L, Vicente, V, Ayala de la Peña, F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3188929/
https://www.ncbi.nlm.nih.gov/pubmed/21811253
http://dx.doi.org/10.1038/bjc.2011.284
Descripción
Sumario:BACKGROUND: Predictive models to identify low-risk febrile neutropenia (FN) have been developed with heterogeneous samples, which included stable and unstable patients, solid tumours, acute leukaemia and bone marrow transplantation. These models fail to recognise 5–15% of cases with unexpected complications, and literature specifically addressing apparently stable patients (ASPs) is scarce. METHODS: We reviewed 861 episodes of FN in outpatients with solid tumours, including 692 (80%) episodes with apparent clinical stability. We aimed to investigate the prognosis of this latter group and explore the possibility of stratifying it according to the presenting features. A case–control study was performed and the MASCC index was evaluated. RESULTS: The rates of complications and bacteraemia in ASPs were 7.3% and 6.2%, respectively. The MASCC index yielded a low sensitivity to detect complications (36%). Prognostic factors were identified: ECOG performance status ⩾2, chronic bronchitis, chronic heart failure, stomatitis NCI grade ⩾2, monocytes <200 mm(−3) and stress hyperglycaemia. CONCLUSION: A very simple assessment is useful to classify the patients with FN according to the risk of complications. A few additional variables may predict the clinical course of the patients. We additionally show that the MASCC index applied to this specific group has a low sensitivity to predict complications.