RESUMO
INTRODUÇÃO: A qualidade da diálise oferecida aos pacientes em diálise pode ser mensurada pelo Kt/V, o qual pode ser calculado de diversas maneiras. OBJETIVO: Comparar os resultados de Kt/V obtidos por meio das fórmulas de Lowrie (L) e de Daugirdas (D) com os resultados mensurados pelo monitor de clearence on-line - Online Clearence Monitor (OCM). MÉTODO: Estudo observacional transversal com 59 pacientes em hemodiálise (HD). Os dados foram coletados na mesma sessão de diálise: (ureia pré-diálise e pós-diálise) e o resultado de Kt/V foi obtido pelo OCM da máquina Fresenius 4008S (Fresenius Medical Care AG, Bad Homburg, Alemanha). RESULTADO: Foram analisadas 95 sessões, em que prevaleceu o sexo masculino, 56% (33), com idade média de 57 + 14 anos. A hipertensão arterial com 42% (25), diabetes com 12% (7) e glomerulonefrite com 8% (5) foram as causas mais frequentes da doença renal crônica (DRC). O Kt/V médio obtido pela fórmula de L, de D e pelo OCM foi de 1,31; 1,41 e 1,32, respectivamente. A comparação entre as fórmulas de L e D mostra que há diferença estatística p = 0,008 com a correlação de Pearson de 0,950. Entre D e OCM a diferença também é significativa: p = 0,011 e r = 0,346, provavelmente devido a perda convectiva, avaliada pela equação de D e não observadas por OCM e L. A comparação entre L e OCM não foi significativa p = 0,999 e r = 0,577. CONCLUSÃO: Os dados sugerem que o OCM pode ser utilizado como um norteador para ajuste da dose de diálise em tempo real.
INTRODUCTION: The quality of delivered dialysis can be measured by the Kt/V ratio, which can be calculated in various ways. OBJECTIVE: To compare the Kt/V ratio obtained with the formulas of Lowrie (L) and Daugirdas (D) with the results measured by an Online Clearance Monitor (OCM). Method: Observational, cross-sectional study of 59 patients on hemodialysis (HD). Data were collected in the same dialysis session (predialysis and postdialysis urea) and Kt/V was calculated by the OCM of the Fresenius 4008S machine (Fresenius Medical Care AG, Bad Homburg, Germany). RESULTS: A total of 95 sessions were assessed, with a predominance of males 56% (33), and a sample mean age of 57 + 14 years. Hypertension (42%; n = 25), diabetes (12%; n = 7) and glomerulonephritides (8%; n = 5) were the most frequent causes of chronic kidney disease (CKD). Mean Kt/V values obtained with the L and D formulas and the OCM were 1.31, 1.41 and 1.32, respectively. Comparison between the L and D formulas showed a statistically significant difference (p = 0.008), with a Pearson's correlation of 0.950. The difference between the D formula and the OCM was also significant (p = 0.011 and r = 0.346), probably due to convective loss, estimated by the D formula but not by the OCM and L formula. The difference between the L formula and the OCM was not significant (p = 0.999 and r = 0.577). CONCLUSION: These data suggest that the OCM can be used as a guide to the real-time adjustment of the dialysis dose.
Assuntos
Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Cálculos da Dosagem de Medicamento , Soluções para Hemodiálise/administração & dosagem , Diálise Renal/métodos , Estudos TransversaisRESUMO
Hyperchloremia is one of the multiple etiologies of metabolic acidosis in hemodialysis (HD) patients. The aim of the present study was to determine the influence of chloride dialysate on metabolic acidosis control in this population. We enrolled 30 patients in maintenance HD program with a standard base excess (SBE) ≤2 mEq/L and urine output of less than 100 mL/24 h. The patients underwent dialysis three times per week with a chloride dialysate concentration of 111 mEq/L for 4 weeks, and thereafter with a chloride dialysate concentration of 107 mEq/L for the next 4 weeks. Arterial blood was drawn immediately before the second dialysis session of the week at the end of each phase, and the Stewart physicochemical approach was applied. The strong ion gap (SIG) decreased (from 7.5 ± 2.0 to 6.2 ± 1.9 mEq/L, P = 0.006) and the standard base excess (SBE) increased after the use of 107 mEq/L chloride dialysate (from -6.64 ± 1.7 to -4.73 ± 1.9 mEq/L, P < 0.0001). ∆SBE was inversely correlated with ∆SIG during the phases of the study (Pearson r = -0.684, P < 0.0001) and there was no correlation with ∆chloride. When we applied the Stewart model, we demonstrated that the lower concentration of chloride dialysate interfered with the control of metabolic acidosis in HD patients, surprisingly, through the effect on unmeasured anions.
Assuntos
Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Acidose/prevenção & controle , Cloretos/administração & dosagem , Soluções para Hemodiálise/administração & dosagem , Diálise Renal/efeitos adversos , Equilíbrio Ácido-Base/efeitos dos fármacos , Acidose/etiologia , Bicarbonatos/administração & dosagem , Bicarbonatos/sangue , Falência Renal Crônica/sangue , Falência Renal Crônica/terapia , Diálise Renal/métodosRESUMO
Stunting is common among pediatric patients on peritoneal dialysis. Aim: To stablish the best profile for urea kinetic variables associated to growth inchildren on chronic peritoneal dialysis (PD). Patients and Methods: Twenty patients, aged 1 month to 14 years, 13 males, were followed for 6-12 months, with monthly measurements of weight/age and height/age Z score; plasma creatinine, BUN, protein and albumin and urine and dialysate urea nitrogen, creatinine, protein and albumin. Minimum total Kt/V was 2.1. Dialysis dose (Kt/V), Protein Equivalent of Urea Nitrogen Appearence (PNA), Protein Catabolic Rate (PCR) and Nitrogen Balance (NB) were calculated. To identify the variable(s) associated to growth, the Tree Classification Model (CART) Enterprise Miner 8.1 was applied. Results: Mean total/residual Kt/V: 3.4±1.3/1.69±1.27; Daily Protein Intake (DPI) was 3.25±1.27 g/kg/day. nPNA, PCR and NB were 1.37±0.44, 0.84±0.33 and 1.86±1.25 g/kg/day, respectively. Mean heigth/age Z score was -2.3±1.19. Eleven patients showed a positive height/age delta Z (mean 0.55±0.38) and nine showed a negative growth (mean -0.50±0.42). The main variable explaining the positive growth was a Nitrogen Balance between 0.54 and 2.37 g/kg/ day, mean 1.55±0.21 (p <0.001). The second associated variable to growth was a residual Kt/V between 0.43 and 4.6 (2.02±0.49) (p <0.05). Kt/V and nPNA showed a significant correlation, but no correlation could be found between Kt/V and NB. Conclusions: Nitrogen Balance was the main variable associated to growth in pediatric PD, with values between 0.53 to 2.38 g/kg/day. The second variable was a residual Kt/V between 0.43 and 4.6. Therapy should be reassessed with NB values less than 0.54 or above 2.37 g/kg/day....