Autologous stem cell transplantation improves quality of life in economically challenged, Brazilian multiple myeloma patients

OBJECTIVES: 1) To characterize the impact of multiple myeloma on the quality of life of patients treated in two public institutions in São Paulo State, Brazil, using a generic Short Form 36 Health Survey and a questionnaire specific for oncologic patients (QLQ-C30) upon diagnosis, after the clinical treatment, and at day +100 after autologous stem cell transplantation; 2) to evaluate whether autologous stem cell transplantation can improve the quality of life of our economically challenged population aside from providing a clinical benefit and disease control. METHODS: We evaluated 49 patients with multiple myeloma (a total of 70 interviews) using the two questionnaires. The scores upon diagnosis, post-treatment/pre-autologous stem cell transplantation, and at D+100 were compared using ANOVA (a comparison of the three groups), post hoc tests (two-by-two comparisons of the three groups), and paired t-tests (the same case at two different times). RESULTS: Of the included patients, 87.8% had a family budget under US $600 (economic class C, D, or E) per month. The generic Short Form 36 Health Survey questionnaire demonstrated that physical function, role-physical, and bodily pain indices were statistically different across all three groups, favoring the D+100 autologous stem cell transplantation group (ANOVA). The questionnaire specific for oncologic patients, the QLQ-C30 questionnaire, confirmed what had been demonstrated by the Short Form 36 Health Survey with respect to physical function and bodily pain, with improvements in role functioning, fatigue, and lack of appetite and constipation, favoring the D+100 autologous stem cell transplant group (ANOVA). The post hoc tests and paired t-tests confirmed a better outcome after autologous stem cell transplantation CONCLUSION: The questionnaire specific for cancer patients seems to be more informative than the generic Short Form 36 Health Survey questionnaire and reflects the real benefit of autologous stem cell transplantation in the quality of life of multiple myeloma patients in two public Brazilian institutions that provide assistance for economically challenged patients.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Universidade Federal de São Paulo (UNIFESP)Santa Casa de Misericórdia de São Paulo Faculdade de Ciências MédicasUniversidade Federal de São Paulo (UNIFESP) Departamento de MedicinaCedars-Sinai Outpatient Cancer CenterUNIFESP, Depto. de MedicinaSciEL

Physical properties of buckwheat (Fagopyrum esculentum Moench) grains during convective drying

ABSTRACT Buckwheat is a prominent crop in present-day agriculture due to its nutraceutical properties; however, information on this crop regarding the post-harvest process is scarce, as well as the characterization of its physical properties and such information is essential for the development and improvement of machinery used in post-harvest processes. Thus, the objective of this study was to determine the volumetric shrinkage, porosity, bulk density and true density of buckwheat grains throughout the drying process, as well as to fit mathematical models to the experimental values of true and bulk volumetric shrinkages. Buckwheat grains of the cultivar IPR 91 - Baili with an initial moisture content of 0.250 (decimal, dry basis.) were used. The samples used to determine the physical properties were subjected to oven drying with forced air circulation stabilized at 40 ± 1 °C. The mass of the samples was periodically weighed, so that when the product reached predetermined values of moisture content, the samples were removed and their physical properties were determined. It is concluded that the reduction in moisture content during drying causes increase in bulk density, true density and porosity. The reduction of the moisture content influences bulk volumetric shrinkage and true volumetric shrinkage of the grains, causing reductions in their values of approximately 14.47 and 14.70%, respectively, and a linear model can represent both variables satisfactorily