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Es generalmente aceptado que la ingesta proteica excesiva acelera el deterioro de la función renal en pacientes con IRC por lo que las dietas más ampliamente usadas son aquellas con importante reducción en la ingesta proteica. Sin embargo, ocasiona malnutrición siendo una de las causas de morbimortalidad de los pacientes tanto con IRC como en terapia sustitutiva.
Al objeto de evaluar la influencia de una ingesta proteica³ 1.0 gr/Kg/ día sobre la función renal estudiamos a 86 pacientes controlados en la unidad de predialisis, con edad X= 69.9 ± 12.08 años, de los que 42 son varones y 46 mujeres, con ClCr corregido <30 ml/min/1.73m2 . Los parametros analizados fueron: peso, altura, raza, IMC, Peso ideal, npna, grs proteinas ingeridos, creatinina serica, BUN sérico, Albumina serica, creatinina en orina, BUN orina, ClCrsc, KT/V semanal, FG, FG estimado por MDRD. Los datos fueron procesados inicialmente en una hoja de cálculo y los análisis estadísticos se realizaron con el software SPSS 10.0. La relación de las medidas del FG fueron analizadas utilizando las tablas de contingencia, T student, analisis de la varianza y regresión lineal. Se consideró significativamente estadístico cuando la P <0.05. Los valores de los parametros de funcionalidad renal fueron:
El analisis de la regresión linear fue:
Relación con NpNA
INFLUENCE OF PROTEIN INTAKE AS NPNA INDEX ON RENAL FUNCTION IN PATIENTS WITH CHRONIC RENAL INSUFFICIENCY (CRI) CONTROLLED IN PREDIALYSIS UNIT.
Is widely accepted that excessive protein intake has a negative effect on renal function in patients with CRI, so diets with restriction on protein intake are widely used. However, malnutrition or undernutrition are well documented causes of high mortality and morbidity in patients with CRI and underwent to replacement therapy. To evaluate the influence of protein intake ³ 1.0 g/Kg/ day on renal function we included 86 white pts enrolled in our Predialysis unit, Mean age X= 69.9 ± 12.08yr ( 42 M, 46 W) with CrCl bs £ 30 ml/min/1.73m2 . Parameters analyzed were: weight, height, gender, BMI, Ideal Body Weight, nPNA, Protein intake g/day, serum creatinin, serum BUN, serum Albumin, urine creatinin, urine BUN , CrClbs, KT/Vwk , GFRE, GFR derived from MDRD study. Data were processed and analyzed with SPSS 10.0 software package. The variables were analyzed by using contingency tables, t-tests, analysis of variance and linear regression, as appropiate. A P value <0.05was considered statistically significant.
Descriptive values were:
5 pts showed an improvement on renal function when nPNA was increased Linear regression analysis data:
Relationship with nPNA
Conclusions: nPNA shows a significant positive correlation with CrClbs, GFR estimated and KT/V wk. This relationship suggests that protein intake=>1.0 g/Kg/day has not deleterous effect on renal function and avoids undernutrition effects, correcting at the same time others alterations derived from CRI as anemia, acidosis, etc. No significant correlation was observed with nPNA and GFR derived from MDRD study. |