Revista clinica espanola · 1994
[The prognostic factors of early mortality in bone marrow transplantation in patients with chronic myeloid leukemia].
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Algara M, Valls A, Ruiz V, Carreras E, Sierra J, Grañena A
Аннотация
INTRODUCTION: The use of bone marrow transplantation (BMT) in leukemia treatment is associated with high early morbid-mortality rates. Therefore, to identify morbid-mortality risk factors in this setting can be useful to improve therapeutic ratio.
METHODS: We studied 15 variables in 46 patients with chronic myeloid leukemia (CML) treated with cyclophosphamide, total body irradiation (TBI) and allogeneic BMT. A multivariant analysis with an unconditional logistic regression model was used.
RESULTS: Variables found to be related with early mortality included general state of health and acute graft versus host disease. Patients with a Karnofsky index (KI) between 60% and 80% had a higher risk of early death than those with a KI between 90 and 100%. Patients who developed severe (grade II-IV) acute graft versus host disease (AGVHD), had a relative risk of 15.62 (IC 95%: 3.16-77.34) compared with those who do not. Time between diagnosis and BMT contributed to the creation of the mathematical model without reaching statistical significance.
CONCLUSIONS: In this series and in the range of the parameters analysed, general state of health according to KI, and the appearance of severe AGVHD are the variables related with a higher risk of early mortality.
METHODS: We studied 15 variables in 46 patients with chronic myeloid leukemia (CML) treated with cyclophosphamide, total body irradiation (TBI) and allogeneic BMT. A multivariant analysis with an unconditional logistic regression model was used.
RESULTS: Variables found to be related with early mortality included general state of health and acute graft versus host disease. Patients with a Karnofsky index (KI) between 60% and 80% had a higher risk of early death than those with a KI between 90 and 100%. Patients who developed severe (grade II-IV) acute graft versus host disease (AGVHD), had a relative risk of 15.62 (IC 95%: 3.16-77.34) compared with those who do not. Time between diagnosis and BMT contributed to the creation of the mathematical model without reaching statistical significance.
CONCLUSIONS: In this series and in the range of the parameters analysed, general state of health according to KI, and the appearance of severe AGVHD are the variables related with a higher risk of early mortality.