[Magnetic resonance imaging evidence of the effectiveness of combination chelation therapy in iron overload cardiomyopathy]. / Evidencia por resonancia magnética de la eficacia del tratamiento quelante combinado en la miocardiopatía por depósito férrico.

Heart failure secondary to iron overload is the main cause of death in patients with beta-thalassemia major. Combination therapy with deferoxamine and deferiprone has been shown to be more effective than either drug used alone in patients with beta-thalassemia major and symptomatic cardiomyopathy. Although monitoring the response to chelation therapy is usually carried out by indirect measurement of the serum ferritin level or by direct determination of tissue iron content in biopsy specimens, magnetic resonance imaging (MRI) seems to be useful for noninvasive qualitative and quantitative assessment of iron deposition. We present a case in which the efficacy of double chelation therapy in a patient with beta-thalassemia major and heart failure was demonstrated by MRI.

Automated neutrophil morphology and its utility in the assessment of neutrophil dysplasia.

The automated hematology cell analyzer Coulter LH 750 (Beckman Coulter, Brea, CA, USA) uses a combination of 3 measurements-volume, conductivity, and scatter-to identify cells, but it could take advantage of these parameters to evaluate their morphologic changes. The neutrophil mean cell volume (MNEV), mean cell conductivity (MNEC), and mean cell scatter (MNES) were evaluated in 54 patients with myelodysplastic syndrome (MDS), 18 with chronic myelomonocytic leukemia (CMML), and 59 healthy controls. MNES and MNEC in the MDS group including all subtypes (World Health Organization classification) and in the CMML patients were significantly lower than the control group. MNES in MDS and CMML correlated well with the cytoplasmic hypogranularity evaluated by microscopic observation (P = .01). The value of MNES and MNEC as screening parameters in the neutrophil dysplasia evaluation showed, for this study, a sensitivity of 71.8% with a specificity of 86.4% (area under the curve [AUC], 0.817) and a cutoff of <139.3 for MNES and a sensitivity of 70.4% with a specificity of 76.3% (AUC, 0.752) and a cutoff of <150.9 for MNEC.