Myelodysplastic syndromes (MDS): prognostic factors and scoring systems

To evaluate the score systems of Cassano and Sanz and suggest a new one. Design: Case series. Location: Teaching hospitals: EPM UNIFESP and Faculdade de Medicina de Botucatu. Participants: 59 patients diagnosed from 1979 to 1992. Intervention: Evaluation of clinical-laboratorial data. Measurement: Statistical comparison, uni and multivariate analysis and actuarial survival curves. Results: Cassano's system divided the patients into high and low risk (p=0.0966) while Sanz's gave high, intermediate and low risk (p=0.0108). The univariate analysis showed hemoglobin, WBC count, E/M ratio, liver size and blast percentage in BM as statistically significant. The multivariate analysis showed blast percentage in BM (p=0.004) and Hb (p=0.050) as signigicant. Our system, considering the multivariate analysis data, divided the patients into high, intermediate and low risk (p=0.0038). Conclusions: Sanz's system was more functional than Cassano's, while ours showed predictive survival value and ease of use in clinical practice.

Chronic myeloid leukemia (CML): prognostic factors and survival analysis

The prognostic value of different factors upon diagnosis of CML was analysed in 45 Philadelphia (Ph1)-positive patients. The median survival was 48 months. Univariate analysis showed 5 poor prognostic factors (male sex, under 45 years-old, bone marrow blasts greater than or equal to 10 percent, blood basophils greater than or equal to 6 percent and blood eosinophilis greater than or equal to 6 percent) which provided for the development of a clinical staging system: Stage I whith none or one factor and a two-year survival rate of 100 percent; Stage II with two or three factors and two-year survival of 72.2 percent; and Stage III with four or five factors and two-year survival of 0 percent (p=0.00016). Multivariate survival analysis showed that combination of blood basophilia and bone marrow blasts had the strongest predective relationship to survival time. We conclude that a combination of pretreatment factors identifies different risk subcategories in CML patients and is helpful in assessing the overall prognosis and the treatment approach.