Cholestasis induced by total parenteral nutrition: effects of the addition of Taurine (Tauramin®) on hepatic function parameters; possible synergistic action of structured lipids (SMOFlipid®)

OBJECTIVE

Assess the hepatoprotective effect of Taurine (Tau) in cases of hepatic cholestasis induced by Total Parenteral Nutrition (TPN).

METHODS

We describe a retrospective series of 54 patients who received TPN, in which cholestasis was detected at an (Intermediate) point that separates the duration of TPN into 2 Phases. From this moment -Phase 2- on, and according to clinical criteria, some patients (Group A, n = 27) received amino acids with Tau (22.41 ± 3.57 mg/kg/day)(Tauramin®), while the rest (Group B, n = 27) received the standard solution without Tau. The mean TPN durations were 39.2 ± 17.1 and 36.4 ± 18.1 days respectively, with the Intermediate points on days 19.56 ± 10.51 and 17.89 ± 11.14. They all received diets that were homogeneous in terms of kcal and macronutrients. In Phase 2, 21 patients from Group A received structured lipids (SMOFlipid®); while 20 from Group B received soy MCT/LCT [ Medium Chain Triglycerides/Long Chain Triglycerides ] (physical or structured mixture). In a retrospective study, differences could not be avoided. The analytical parameters from three periods (Initial, Intermediate, and Final) were obtained from Nutridata® and Servolab®. We compared interperiod values using the Wilcoxon test SPSS® (p < 0.05).

RESULTS

After introducing Taurine AST, ALT, and GGT were significantly reduced; Bilirubin was also reduced, but not significantly. The values obtained for GGT in Group A were (Mean(σ)/median): Initial 48.6 (23.1)/46; Intermediate 473.7 (276.2)/438, and Final 328.9 (190.4)/305. We stress that the mean GGT value is reduced by 30.56% after adding Taurine, while in its absence all parameters are elevated, and mean GGT increases 45.36%.

CONCLUSION

These results show Taurine's hepatoprotective effect and support its use in cases of TPN-induced cholestasis. We acknowledge the possibility that the differences between SMOF and the MCT/LCT mixtures also may have influenced the results in a combined effect with taurine.

[INFORNUT process: validation of the filter phase-FILNUT--and comparison with other methods for the detection of early hospital hyponutrition]

INTRODUCTION

According to several series, hospital hyponutrition involves 30-50% of hospitalized patients. The high prevalence justifies the need for early detection from admission. There several classical screening tools that show important limitations in their systematic application in daily clinical practice.

OBJECTIVES

To analyze the relationship between hyponutrition, detected by our screening method, and mortality, hospital stay, or re-admissions. To analyze, as well, the relationship between hyponutrition and prescription of nutritional support. To compare different nutritional screening methods at admission on a random sample of hospitalized patients. Validation of the INFORNUT method for nutritional screening.

MATERIAL AND METHODS

In a previous phase from the study design, a retrospective analysis with data from the year 2003 was carried out in order to know the situation of hyponutrition in Virgen de la Victoria Hospital, at Malaga, gathering data from the MBDS (Minimal Basic Data Set), laboratory analysis of nutritional risk (FILNUT filter), and prescription of nutritional support. In the experimental phase, a cross-sectional cohort study was done with a random sample of 255 patients, on May of 2004. Anthropometrical study, Subjective Global Assessment (SGA), Mini-Nutritional Assessment (MNA), Nutritional Risk Screening (NRS), Gassull's method, CONUT and INFORNUT were done. The settings of the INFORNUT filter were: albumin < 3.5 g/dL, and/or total proteins <5 g/dL, and/or prealbumin <18 mg/dL, with or without total lymphocyte count < 1.600 cells/mm3 and/or total cholesterol <180 mg/dL. In order to compare the different methods, a gold standard is created based on the recommendations of the SENPE on anthropometrical and laboratory data. The statistical association analysis was done by the chi-squared test (a: 0.05) and agreement by the k index.

RESULTS

In the study performed in the previous phase, it is observed that the prevalence of hospital hyponutrition is 53.9%. One thousand six hundred and forty four patients received nutritional support, of which 66.9% suffered from hyponutrition. We also observed that hyponutrition is one of the factors favoring the increase in mortality (hyponourished patients 15.19% vs. non-hyponourished 2.58%), hospital stay (hyponourished patients 20.95 days vs. non-hyponourished 8.75 days), and re-admissions (hyponourished patients 14.30% vs. non-hyponourished 6%). The results from the experimental study are as follows: the prevalence of hyponutrition obtained by the gold standard was 61%, INFORNUT 60%. Agreement levels between INFORNUT, CONUT, and GASSULL are good or very good between them (k: 0.67 INFORNUT with CONUT, and k: 0.94 INFORNUT and GASSULL) and wit the gold standard (k: 0.83; k: 0.64 CONUT; k: 0.89 GASSULL). However, structured tests (SGA, MNA, NRS) show low agreement indexes with the gold standard and laboratory or mixed tests (Gassull), although they show a low to intermediate level of agreement when compared one to each other (k: 0.489 NRS with SGA). INFORNUT shows sensitivity of 92.3%, a positive predictive value of 94.1%, and specificity of 91.2%. After the filer phase, a preliminary report is sent, on which anthropometrical and intake data are added and a Nutritional Risk Report is done.

CONCLUSIONS

Hyponutrition prevalence in our study (60%) is similar to that found by other authors. Hyponutrition is associated to increased mortality, hospital stay, and re-admission rate. There are no tools that have proven to be effective to show early hyponutrition at the hospital setting without important applicability limitations. FILNUT, as the first phase of the filter process of INFORNUT represents a valid tool: it has sensitivity and specificity for nutritional screening at admission. The main advantages of the process would be early detection of patients with risk for hyponutrition, having a teaching and sensitization function to health care staff implicating them in nutritional assessment of their patients, and doing a hyponutrition diagnosis and nutritional support need in the discharge report that would be registered by the Clinical Documentation Department. Therefore, INFORNUT would be a universal screening method with a good cost-effectiveness ratio.