Effective use of EMG parameters in the assessment of neuromuscular diseases.
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Biomedical subjects
Publications and source records attributed to C Berzuini.
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Based on the morphological appearances of the bone marrow and peripheral blood, 43 patients with dysmyelopoietic syndromes were categorized into four types: refractory anaemia with excess of blasts, chronic myelomonocytic leukaemia, primary acquired sideroblastic anaemia and refractory anaemia with cellular marrow, without excess of blasts and/or ring sideroblasts. Ferrokinetics allowed three distinct groups of patients to be defined. All cases of refractory anaemia with excess of blasts and chronic myelomonocytic leukaemia were classified in the same group. They were characterized by relative marrow failure and had a high likelihood of developing acute leukaemia. At the other end of the spectrum, individuals with primary acquired sideroblastic anaemia had high erythropoietic activity which was largely ineffective. They had a benign clinical course without evidence of leukaemic transformation. In the middle group, in terms of erythropoietic activity, lay patients with refractory anaemia with cellular marrow and a few individuals with primary acquired sideroblastic anaemia. Their clinical course and risk of developing acute leukaemia were intermediate between the other two groups. These findings indicate that separate entities may exist within the spectrum of dysmyelopoietic syndromes. In clinical practice, they may be recognized by morphological studies and other simple laboratory means.
A quantitative evaluation of erythropoiesis was carried out in 12 patients with hairy cell leukaemia (HCL). The results were compared with those obtained in eight patients with aplastic anaemia (AA) in order to define the characteristics of erythroid failure in HCL. Discriminant analysis was applied to both haematological and erythrokinetic parameters of the two disease groups. Plasma iron concentration and MCV were significantly higher in AA, and allowed a perfect separation of the patients. As regards erythrokinetics, values of ineffective erythropoiesis and peripheral haemolysis were able to separate completely the two disease groups, being significantly lower in HCL than in AA. A true erythroid failure was the peculiar erythrokinetic pattern of HCL. This conclusion allows one to speculate on the nature of the stem cell damage in this disease.
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Patients enrolled in a clinical heart transplantation program were evaluated to identify the predictors of prognosis in patients with advanced heart disease and to optimize timing of heart transplantation. Three hundred eighty-eight subjects were consecutively evaluated from 1985 through 1989. One hundred eighty-four patients (47.5%) had dilated cardiomyopathy; 164 patients (42.2%) had ischemic heart disease; 34 patients (8.8%) had valvular heart disease, and six patients (1.5%) had miscellaneous disorders. In each patient, 45 different parameters were considered. During follow-up (mean, 8.4 months) 166 patients underwent heart transplantation; 99 patients died (heart failure, 66 patients; sudden death, 26 patients; thromboembolism, two patients; noncardiac causes, five patients). The actuarial survival was 83% at 3 months, 77% at 6 months, 73% at 9 months, 70% at 1 year, and 59% at 2 years. The median survival time was 28 months. Analysis by Cox proportional hazard regression model revealed seven independent and significant prognostic factors: etiology (p < 0.05), NYHA class (p < 0.05), third heart sound (p < 0.05), diastolic pulmonary artery pressure (p < 0.05), pulmonary wedge pressure (p < 0.01), mean systemic blood pressure (p < 0.05), and cardiac output (p < 0.05). Cox's analysis allows the computation of patient-specific curves for predictions of residual survival time at any moment during follow-up. Moreover it can be used to calculate a simple prognostic index, which enables stratification of the patient population into three risk classes: patients at high (n = 105), intermediate (n = 160) and low (n = 123) risk of early death. Pairwise comparisons of survival between the classes were significant at 1% level.
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