Predictive value of peri-chemotherapy hematological parameters for febrile neutropenia in patients with cancer
The aim of this study was to compare hematological parameters pre- and early post-chemotherapy, and evaluate their values for predicting febrile neutropenia (FN). Patients diagnosed with malignant solid tumors receiving chemotherapy were included. Blood cell counts peri-chemotherapy and clinical inf...
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Published in | Frontiers in oncology Vol. 14; p. 1380195 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media S.A
19.08.2024
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Subjects | |
Online Access | Get full text |
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Summary: | The aim of this study was to compare hematological parameters pre- and early post-chemotherapy, and evaluate their values for predicting febrile neutropenia (FN).
Patients diagnosed with malignant solid tumors receiving chemotherapy were included. Blood cell counts peri-chemotherapy and clinical information were retrieved from the hospital information system. We used the least absolute shrinkage and selection operator (LASSO) method for variable selection and fitted selected variables to a logistic model. We assessed the performance of the prediction model by the area under the ROC curve.
The study population consisted of 4,130 patients with common solid tumors receiving a three-week chemotherapy regimen in Sichuan Cancer Hospital from February 2019 to March 2022. In the FN group, change percentage of neutrophil count decreased less (-0.02, CI: -0.88 to 3.48 vs.
0.04, CI: -0.83 to 2.24). Among hematological parameters, lower post-chemotherapy lymphocyte count (OR 0.942, CI: 0.934-0.949), change percentage of platelet (OR 0.965, CI: 0.955-0.975) and higher change percentage of post-chemotherapy neutrophil count (OR 1.015, CI: 1.011-1.018), and pre-chemotherapy NLR (OR 1.002, CI: 1.002-1.002) predicted an increased risk of FN. These factors improved the predicting model based on clinical factors alone. The AUC of the combination model was 0.8275.
Peri-chemotherapy hematological markers improve the prediction of FN. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Calin Cainap, University of Medicine and Pharmacy Iuliu Hatieganu, Romania Nelson López Sejas, University of Extremadura, Spain Diogo Teófilo De Castro Soares Regateiro, Francisco Gentil Portuguese Oncology Institute of Coimbra, Portugal These authors have contributed equally to this work and share first authorship Edited by: Paulo Rodrigues-Santos, University of Coimbra, Portugal Fernando Mendes, Polytechnical Institute of Coimbra, Portugal |
ISSN: | 2234-943X 2234-943X |
DOI: | 10.3389/fonc.2024.1380195 |