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Determinants of Myelosuppression in the Treatment of Non‐small Cell Lung Cancer with Cisplatin‐containing Chemotherapy

Data on 16 potential risk factors for myelosuppression were assessed in 134 patients who received either vindesine and cisplatin (VP) or mitomycin C, vindesine and cisplatin (MVP) for inoperable stage III or IV non‐small cell lung cancer in a randomized trial. Determinant factors for myelosuppressio...

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Autores principales: Matsui, Kaoru, Masuda, Noriyuki, Uchida, Yasuo, Fukuoka, Masahiro, Negoro, Shunichi, Yana, Takashi, Kusunoki, Yoko, Kudoh, Shinzoh, Kawase, Ichiro, Kawahara, Masaaki, Ogawara, Mitsumasa, Kodama, Nagahisa, Kubota, Kaoru, Furuse, Kiyoyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 1996
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5921149/
https://www.ncbi.nlm.nih.gov/pubmed/8698630
http://dx.doi.org/10.1111/j.1349-7006.1996.tb00292.x
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author Matsui, Kaoru
Masuda, Noriyuki
Uchida, Yasuo
Fukuoka, Masahiro
Negoro, Shunichi
Yana, Takashi
Kusunoki, Yoko
Kudoh, Shinzoh
Kawase, Ichiro
Kawahara, Masaaki
Ogawara, Mitsumasa
Kodama, Nagahisa
Kubota, Kaoru
Furuse, Kiyoyuki
author_facet Matsui, Kaoru
Masuda, Noriyuki
Uchida, Yasuo
Fukuoka, Masahiro
Negoro, Shunichi
Yana, Takashi
Kusunoki, Yoko
Kudoh, Shinzoh
Kawase, Ichiro
Kawahara, Masaaki
Ogawara, Mitsumasa
Kodama, Nagahisa
Kubota, Kaoru
Furuse, Kiyoyuki
author_sort Matsui, Kaoru
collection PubMed
description Data on 16 potential risk factors for myelosuppression were assessed in 134 patients who received either vindesine and cisplatin (VP) or mitomycin C, vindesine and cisplatin (MVP) for inoperable stage III or IV non‐small cell lung cancer in a randomized trial. Determinant factors for myelosuppression were evaluated by using univariate analysis and the logistic regression model. Recursive partitioning and amalgamation (RPA) was also used to define patient subgroups frequently suffering from severe bone marrow toxicity. Overall, 33 (25%) of 134 patients experienced at least one episode of grade 4 leukopenia. In univariate analysis, age, body surface area, serum creatinine, and pretreatment hemoglobin concentration were associated with severe leukopenia. A multivariate analysis using the logistic regression method showed that only raised creatinine level was an independent predictor for grade 4 leukopenia (P=0.049). The RPA model generated three distinct subgroups based on age, body surface area and regimen. The three subgroups were distinguished by the frequency of severe (grade 4) leukopenia (50%, 25%, and 2.4%, respectively) (P<0.001). Grade 4 leukopenia occurred more frequently in patients in class 3 (age ≥65 years and treatment with MVP). The RPA model was useful in identifying the risk factors for myelosuppression induced by cisplatin‐based chemotherapy, and in defining patient subgroups with elevated risk of toxicity.
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spelling pubmed-59211492018-05-11 Determinants of Myelosuppression in the Treatment of Non‐small Cell Lung Cancer with Cisplatin‐containing Chemotherapy Matsui, Kaoru Masuda, Noriyuki Uchida, Yasuo Fukuoka, Masahiro Negoro, Shunichi Yana, Takashi Kusunoki, Yoko Kudoh, Shinzoh Kawase, Ichiro Kawahara, Masaaki Ogawara, Mitsumasa Kodama, Nagahisa Kubota, Kaoru Furuse, Kiyoyuki Jpn J Cancer Res Article Data on 16 potential risk factors for myelosuppression were assessed in 134 patients who received either vindesine and cisplatin (VP) or mitomycin C, vindesine and cisplatin (MVP) for inoperable stage III or IV non‐small cell lung cancer in a randomized trial. Determinant factors for myelosuppression were evaluated by using univariate analysis and the logistic regression model. Recursive partitioning and amalgamation (RPA) was also used to define patient subgroups frequently suffering from severe bone marrow toxicity. Overall, 33 (25%) of 134 patients experienced at least one episode of grade 4 leukopenia. In univariate analysis, age, body surface area, serum creatinine, and pretreatment hemoglobin concentration were associated with severe leukopenia. A multivariate analysis using the logistic regression method showed that only raised creatinine level was an independent predictor for grade 4 leukopenia (P=0.049). The RPA model generated three distinct subgroups based on age, body surface area and regimen. The three subgroups were distinguished by the frequency of severe (grade 4) leukopenia (50%, 25%, and 2.4%, respectively) (P<0.001). Grade 4 leukopenia occurred more frequently in patients in class 3 (age ≥65 years and treatment with MVP). The RPA model was useful in identifying the risk factors for myelosuppression induced by cisplatin‐based chemotherapy, and in defining patient subgroups with elevated risk of toxicity. Blackwell Publishing Ltd 1996-07 /pmc/articles/PMC5921149/ /pubmed/8698630 http://dx.doi.org/10.1111/j.1349-7006.1996.tb00292.x Text en
spellingShingle Article
Matsui, Kaoru
Masuda, Noriyuki
Uchida, Yasuo
Fukuoka, Masahiro
Negoro, Shunichi
Yana, Takashi
Kusunoki, Yoko
Kudoh, Shinzoh
Kawase, Ichiro
Kawahara, Masaaki
Ogawara, Mitsumasa
Kodama, Nagahisa
Kubota, Kaoru
Furuse, Kiyoyuki
Determinants of Myelosuppression in the Treatment of Non‐small Cell Lung Cancer with Cisplatin‐containing Chemotherapy
title Determinants of Myelosuppression in the Treatment of Non‐small Cell Lung Cancer with Cisplatin‐containing Chemotherapy
title_full Determinants of Myelosuppression in the Treatment of Non‐small Cell Lung Cancer with Cisplatin‐containing Chemotherapy
title_fullStr Determinants of Myelosuppression in the Treatment of Non‐small Cell Lung Cancer with Cisplatin‐containing Chemotherapy
title_full_unstemmed Determinants of Myelosuppression in the Treatment of Non‐small Cell Lung Cancer with Cisplatin‐containing Chemotherapy
title_short Determinants of Myelosuppression in the Treatment of Non‐small Cell Lung Cancer with Cisplatin‐containing Chemotherapy
title_sort determinants of myelosuppression in the treatment of non‐small cell lung cancer with cisplatin‐containing chemotherapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5921149/
https://www.ncbi.nlm.nih.gov/pubmed/8698630
http://dx.doi.org/10.1111/j.1349-7006.1996.tb00292.x
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