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1.
Am J Hematol ; 89(2): 168-73, 2014 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-24123154

RESUMEN

Therapy-related acute myeloid leukemia (t-AML) is an increasingly recognized sequela in patients receiving chemotherapy or radiotherapy for a primary malignancy or autoimmune disease. This study assessed factors related to the latency period (LP) between the antecedent disorder (AD) and t-AML diagnosis and developed a comprehensive prognostic model to predict overall survival (OS). We evaluated a cohort of newly diagnosed t-AML patients treated with cytarabine-based induction therapy from 2001 to 2011. Multivariable linear and proportional hazards models were used to assess the impact of different classes of chemotherapy on the LP and to identify independent prognostic factors for OS. Of 730 treated AML patients, 58 (7.9%) had t-AML. Median LP to t-AML was 5.6 years (range, 0.5-38.4). 64% of patients achieved CR and median OS was 10.7 months. Independent prognostic factors of short LP were age at AD (P < 0.0001) and prior treatment with mitotic inhibitors (P = 0.05). Unfavorable cytogenetics (P = 0.004), antecedent hematologic or autoimmune disease (P = 0.01), age >60 (P = 0.03), and platelet count <30,000 µL (P = 0.04) at the time of t-AML diagnosis were prognostic for inferior OS. A prognostic model using these factors was developed that risk stratified t-AML patients into two groups: favorable and unfavorable. Patients in the favorable group had a median OS of 37.6 months compared with 6.4 months in patients comprising the unfavorable group (P < 0.0001). Multicomponent prognostic models integrating disease or treatment-related covariates can help better understand how t-AML evolves; and can be clinically useful in risk stratifying t-AML patients undergoing induction therapy.


Asunto(s)
Leucemia Mieloide Aguda/etiología , Leucemia Mieloide Aguda/mortalidad , Modelos Estadísticos , Neoplasias Primarias Secundarias , Adulto , Anciano , Protocolos de Quimioterapia Combinada Antineoplásica/efectos adversos , Protocolos de Quimioterapia Combinada Antineoplásica/uso terapéutico , Citarabina/administración & dosificación , Femenino , Humanos , Quimioterapia de Inducción/efectos adversos , Leucemia Mieloide Aguda/diagnóstico , Leucemia Mieloide Aguda/tratamiento farmacológico , Masculino , Persona de Mediana Edad , Evaluación del Resultado de la Atención al Paciente , Pronóstico , Factores de Riesgo , Resultado del Tratamiento
2.
Leuk Lymphoma ; 56(9): 2536-42, 2015.
Artículo en Inglés | MEDLINE | ID: mdl-25563427

RESUMEN

This study aimed to identify the rate and impact of vancomycin-resistant enterococcal (VRE) bacteremia in patients with acute myeloid leukemia (AML) receiving induction chemotherapy (IC). Thirty-seven (10.6%) of 350 patients had VRE bacteremia during IC, with increasing rates of VRE bacteremia over the course of the study period. The overall complete remission (CR) rate for the cohort was 73%, and there was no difference in CR rate between the VRE bacteremia and non-VRE bacteremia cohorts (70% vs. 73%, p = 0.70). Unadjusted median overall survival (OS) was 12.8 months, and differed significantly between those with and without VRE bacteremia (7.1 months vs. 13.1 months, respectively; p = 0.03). The presence of VRE bacteremia during IC for AML was independently associated with increased all-cause mortality (hazard ratio 1.72, 95% confidence interval 1.13-2.63, p = 0.01).


Asunto(s)
Bacteriemia/microbiología , Infecciones por Bacterias Gramnegativas/microbiología , Leucemia Mieloide/tratamiento farmacológico , Enterococos Resistentes a la Vancomicina/fisiología , Enfermedad Aguda , Adulto , Anciano , Anciano de 80 o más Años , Bacteriemia/complicaciones , Femenino , Infecciones por Bacterias Gramnegativas/complicaciones , Interacciones Huésped-Patógeno , Humanos , Quimioterapia de Inducción , Estimación de Kaplan-Meier , Leucemia Mieloide/complicaciones , Masculino , Persona de Mediana Edad , Análisis Multivariante , Evaluación de Resultado en la Atención de Salud/métodos , Evaluación de Resultado en la Atención de Salud/estadística & datos numéricos , Pronóstico , Modelos de Riesgos Proporcionales , Inducción de Remisión , Adulto Joven
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