RESUMO
Introducción: Se ha descrito la heterogeneidad del impacto de la anemia según el área geográfica; en el sector rural se ve agravado afectando a la población más vulnerable. Objetivo: evaluar el efecto del suplemento nutricional en niños anémicos menores de cinco años indígenas y no indígenas, en comunidades rurales del Departamento de Caazapá. Materiales y métodos: Estudio observacional transversal. Fueron estudiados una cohorte de 109 niños menores de cinco años indígenas y no indígenas cuyos padres brindaron su consentimiento informado, a quienes se les suministró sulfato ferroso según edad y peso. Resultados: Se encontró un aumento significativo de las medianas de hemoglobina, después de la intervención, de 5,0 g/L en el grupo anémico de indígenas y en los no indígenas de 6,0 g/L; el 31% de los niños indígenas y el 84% de los no indígenas dejaron de ser anémicos, post intervención. Conclusión: Ambas poblaciones de niños anémicos indígenas y no indígenas presentaron un aumento significativo de los niveles medios de hemoglobina post tratamiento con suplemento con hierro y una mayoría presentó una mejoría a un estado no anémico o del grado de la anemia.
Introduction: The heterogeneity of the impact of anemia has been described according to geographic area; in rural areas the impact is greater, affecting the most vulnerable populations. Objective: to evaluate the effect of nutritional supplementation in anemic children, both indigenous and non-indigenous, under five years of age, in rural communities in the Department of Caazapá. Materials and methods: This was a cross-sectional, observational study. We studied a cohort of 109 indigenous and non-indigenous children under five years of age whose parents gave their informed consent and were given ferrous sulfate based on age and weight. Results: There was a significant increase in hemoglobin medians, after the intervention, of 5.0 g / L in the anemic group of indigenous children and of 6.0 g / L in the non-indigenous children; 31% of indigenous children and 84% of non-indigenous children ceased to be anemic after the intervention. Conclusion: Both the indigenous and non-indigenous populations of anemic children showed a significant increase in their average levels of hemoglobin after iron supplementation and a majority improved to a milder degree of anemia or to a resolution of their anemia.
RESUMO
UNLABELLED: The lithogenic risk profile is a graphical representation of metabolic factors and urinary saturation involved in the stone formation with their respective critical values. AIM: To determine the lithogenic risk profile in patients with urolithiasis. MATERIAL AND METHODS: Personal data such as anthropometric, history of diseases and family history of urolithiasis were recorded. Different compounds acting as promoters or inhibitors of crystallization were measured in serum and urine samples, and the data obtained were used to calculate urinary saturation using Equil software. RESULTS: We included 30 men and 43 women with a median age of 45 (34-54) years. Overweight and family history of urolithiasis was reported in 63 and 32% respectively. Crystallization risk was detected in 74% of participants. The most common urinary abnormalities were hypocitraturia in 48% and hypercalciuria in 40%. CONCLUSIONS: The lithogenic profile revealed urinary saturation compatible with crystallization risk in 74% of the studied patients.
Assuntos
Biomarcadores/urina , Urolitíase/urina , Adulto , Cálcio/urina , Cristalização , Feminino , Humanos , Magnésio/urina , Masculino , Pessoa de Meia-Idade , Oxalatos/urina , Paraguai , Fósforo/urina , Fatores de Risco , Sódio/urina , Ácido Úrico/urina , Urolitíase/etiologiaRESUMO
The lithogenic risk profile is a graphical representation of metabolic factors and urinary saturation involved in the stone formation with their respective critical values. Aim: To determine the lithogenic risk profile in patients with urolithiasis. Material and Methods: Personal data such as anthropometric, history of diseases and family history of urolithiasis were recorded. Different compounds acting as promoters or inhibitors of crystallization were measured in serum and urine samples, and the data obtained were used to calculate urinary saturation using Equil software. Results: We included 30 men and 43 women with a median age of 45 (34-54) years. Overweight and family history of urolithiasis was reported in 63 and 32% respectively. Crystallization risk was detected in 74% of participants. The most common urinary abnormalities were hypocitraturia in 48% and hypercalciuria in 40%. Conclusions: The lithogenic profile revealed urinary saturation compatible with crystallization risk in 74% of the studied patients.