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DOI 10.1007/s00520-022-07343-5

Медицинская библиотека · Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022

Real-world evaluation of supportive care using an electronic health record text-mining tool: G-CSF use in breast cancer patients.

van Laar Sylvia A, Gombert-Handoko Kim B, Wassenaar Sophie, Kroep Judith R, Guchelaar Henk-Jan, Zwaveling Juliette

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Аннотация

PURPOSE: Chemotherapy-induced febrile neutropenia (FN) is a life-threatening and chemotherapy dose-limiting adverse event. FN can be prevented with granulocyte-colony stimulating factors (G-CSFs). Guidelines recommend primary G-CSF use for patients receiving either high (> 20%) FN risk (HR) chemotherapy, or intermediate (10-20%) FN risk (IR) chemotherapy if the overall risk with additional patient-related risk factors exceeds 20%. In this study, we applied an EHR text-mining tool for real-world G-CSF treatment evaluation in breast cancer patients.

METHODS

Breast cancer patients receiving IR or HR chemotherapy treatments between January 2015 and February 2021 at LUMC, the Netherlands, were included. We retrospectively collected data from EHR with a text-mining tool and assessed G-CSF use, risk factors, and the FN and neutropenia (grades 3-4) and incidence.

RESULTS

A total of 190 female patients were included, who received 77 HR and 113 IR treatments. In 88.3% of the HR regimens, G-CSF was administered; 7.3% of these patients developed FN vs. 33.3% without G-CSF. Although most IR regimen patients had ≥ 2 risk factors, only 4% received G-CSF, of which none developed neutropenia. However, without G-CSF, 11.9% developed FN and 31.2% severe neutropenia.

CONCLUSIONS

Our text-mining study shows high G-CSF use among HR regimen patients, and low use among IR regimen patients, although most had ≥ 2 risk factors. Therefore, current practice is not completely in accordance with the guidelines. This shows the need for increased awareness and clarity regarding risk factors. Also, text-mining can effectively be implemented for the evaluation of patient care.

Для цитирования: van Laar Sylvia A, Gombert-Handoko Kim B, Wassenaar Sophie, Kroep Judith R, Guchelaar Henk-Jan, Zwaveling Juliette. Real-world evaluation of supportive care using an electronic health record text-mining tool: G-CSF use in breast cancer patients.. Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer. 2022. DOI: 10.1007/s00520-022-07343-5.

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