Early predictor for differentiation syndrome in newly diagnosed acute promyelocytic leukaemia patients treated with single-agent arsenic trioxide.
Autor: | Gao Y; The First Affiliated Hospital of Harbin Medical University, Long Jiang Road, Harbin, 150007, Heilongjiang Province, China., Xi Y; The First Affiliated Hospital of Harbin Medical University, Long Jiang Road, Harbin, 150007, Heilongjiang Province, China., Chen W; The First Affiliated Hospital of Harbin Medical University, Long Jiang Road, Harbin, 150007, Heilongjiang Province, China., Meng Y; The First Affiliated Hospital of Harbin Medical University, Long Jiang Road, Harbin, 150007, Heilongjiang Province, China., Su Y; The First Affiliated Hospital of Harbin Medical University, Long Jiang Road, Harbin, 150007, Heilongjiang Province, China. suyanhua163@163.com. |
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Jazyk: | angličtina |
Zdroj: | Annals of hematology [Ann Hematol] 2024 Oct; Vol. 103 (10), pp. 3947-3954. Date of Electronic Publication: 2024 Apr 29. |
DOI: | 10.1007/s00277-024-05776-y |
Abstrakt: | Differentiation syndrome (DS) is the second leading cause of death in acute promyelocytic leukaemia (APL) patients. Few studies have tested predictors of DS events. This study aimed to identify optimized predictors of DS events related to APL. The data of 298 consecutive patients who were newly diagnosed with APL between December 2012 and June 2023 were retrospectively investigated. A systematic review of computer-based patient medical records was conducted to obtain clinical data, including baseline characteristics, routine blood examination findings, biochemical indices and clinical manifestations of DS. Among the 298 patients, 158 were classified into the no-DS group, while 140 had DS. Compared with those of patients without DS, the peripheral blast count, age, and WBC count at each time point were significantly different in patients with DS (P < 0.05 for all time points). Generalized linear mixed models (GLMMs) revealed that WBC (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.) |
Databáze: | MEDLINE |
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