JACN
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Malvy, D.
Right arrow Articles by Nivet, H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Malvy, D.
Right arrow Articles by Nivet, H.
Journal of the American College of Nutrition, Vol. 18, No. 5, 481-486 (1999)
Published by the American College of Nutrition

Effects of Severe Protein Restriction with Ketoanalogues in Advanced Renal Failure

Denis Malvy, MD, PhD, Claude Maingourd, MD, Josette Pengloan, MD, Philippe Bagros, MD and Hubert Nivet, MD

Centre René Labusquière and INSERM U.330, Université Victor Segalen Bordeaux 2, Bordeaux, (D.M.)
Service de Néphrologie et Immunologie Clinique, CHU Bretonneau, Tours, (C.M., J.P., H.N.) FRANCE

Address reprint requests to: Dr. Denis MALVY, Centre René Labusquière, INSERM U 330, Université Victor Segalen Bordeaux 2, 146, Rue Léo Saignat, F-33 076 Bordeaux Cedex, FRANCE


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 STATISTICAL METHODS
 RESULTS
 REFERENCES
 
Objective: To compare a severe protein restriction diet supplemented with ketoanalogues to a moderate protein restriction diet in order to limit glomerular filtration rate (GFR) decrease in an advanced renal insufficiency stage.

Design: Prospective randomised study conducted to compare a severe protein restriction diet (0.30 g/kg/day) supplemented with a preparation of ketoanalogues, hydroxyanalogues of aminoacids and aminoacids (Group A) to a moderate protein restriction diet (0.65 g/kg/day) (Group B).

Patients: 50 uremic patients included (25 in each group) with GFR is <20 mL/min/1.73m2.

Results: There were no statistically significant differences between the two dietary regimens for the renal survival. But uremia decreased significantly in Group A (22.7±5.2 to 18.5±6.7 mmol/L) and increased in Group B (26.8±9.0 to 34.9±9.9 mmol/L). Calcemia increased in Group A from 2.28±0.18 to 2.42±0.17 mmol/L, p<0.01 with a stable phosphoremia while calcemia decreased in Group B (2.33±0.18 to 2.25±0.17 mmol/L, p<0.05). At the end of the study, Group A was different from Group B for calcemia (2.42±0.17 vs. 2.25±0.17 mmol/L, p<0.01), phosphoremia (1.39±0.30 vs. 1.80±0.65 mmol/L, p<0.02), alkaline phosphatase (61.42±22.93 vs. 78.8±27.0, p<0.05) and parathormone plasma levels (2.71±1.55 vs. 5.91±1.41 ng/mL, p<0.001).

Comments: Compared to a moderate protein restriction (0.65 g/kg/day), a severe protein restriction (0.3 g/kg/day) supplemented by ketoanologues does not limit GFR decrease when GFR is below 20 mL/min/1.73m2, but improves phosphocalcic plasma parameters.

Key words: uremia, protein restriction, renal failure, ketoanalogues


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 STATISTICAL METHODS
 RESULTS
 REFERENCES
 
In chronic renal failure (CRF), hyperfiltration appears in the remnant glomeruli with subsequent histological lesions and decreased glomerular filtration [1]. In past years, it has been suggested that dietary protein restriction could prevent functional deterioration in both animals [25] and humans, due to reduction in glomerular capillary pressure and filtration [611]. Previous papers reported that moderate dietary protein restriction is an effective way of delaying functional renal deterioration [12]. Other studies report an improvement in clinical and nutritional status in patients with a low protein diet supplemented by ketoanalogues [1318]. We report the results of a prospective, randomised, controlled trial undertaken to test the effects of a greater protein restriction in pre-end stage chronic renal failure.


    PATIENTS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 STATISTICAL METHODS
 RESULTS
 REFERENCES
 
The studied sample was made up of out-patients who attended our Department of Nephrology between January 1, 1983, and May 1, 1987. The inclusion criterion was a creatinine clearance value below 19 mL/min/1.73m2 without lethal disease. Patients with diabetes, cancer, systemic disease, obstructive uropathy and rapidly progressive glomerulonephritis were excluded. Glomerular filtration rate (GFR) was estimated by Cockroft’s formula [19]. Diet history of all patients was studied by a dietitian, and they were asked to adhere to a low-protein diet. After consent was obtained, patients were randomised into two groups: in Group A, patients were allocated to a severe protein restriction diet (0.3 g/kg/day) with a supplement of ketoanalogues and hydroxyanalogues of amino acids, 0.17 g/kg/day) (Table 1); Group B patients were asked to adhere to a 0.65 g/kg/day protein intake.


View this table:
[in this window]
[in a new window]
 
Table 1. Nutritional Intake Prescription at Input Time (Mean±Standard Deviation)

 
The caloric loss due to the protein restriction was balanced by a rise in carbohydrate and lipid intake. The prescribed energy intake was the amount revealed in the preprotocol period studied by the dietitian. Protein intake was followed by urea nitrogen appearance (UNA) according to Maroni’s formula [20]. All patients received a daily supplement of vitamin D3 (25–50 µg), nicotinic acid (25 mg), vitamin C (70 mg), folate (130 µg) and thiamine (5 mg), riboflavin (5 mg), B6 (1.5 mg) and B12 (3 µg). Calcium (1–4 g per day), and aluminum hydroxide were added depending on calcium and phosphate plasma levels.

The following variables were measured on randomisation, once a month during the first three months, then every three months: body weight, lean body mass and fat body mass by skinfold thickness method [2122], blood pressure levels, blood cell count, plasma values of electrolytes, urea, creatinine, alkaline phosphatase, calcium, phosphorus, C terminal parathormone, bicarbonate, uric acid, glycemia, cholesterol, triglycerids, albumin, transthyretin-thyroxine binding pre-albumin (TBPA), retinol-binding protein (RBP), aminoacids and urinary expression of creatinine and urea for the clearance evaluation.

At the same frequency, patients were examined by a nephrologist and visited by a dietitian in order to study the diet compliance. Output criteria were a GFR level at 5 mL/min/1.73m2 estimated by the ratio (creatinine clearance + urea clearance)/2 or an uremic intolerance diagnosed by two nephrologists and requiring a dialysis procedure.


    STATISTICAL METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 STATISTICAL METHODS
 RESULTS
 REFERENCES
 
Quantitative variables were compared by a t test for paired data and analysis of variance. A Cox regression model was used to evaluate the following variables: age, creatinine, clearance and glomerular filtration rate at onset, type of dietary procedure and etiology of chronic renal failure [23]. First, a univariate analysis was performed on these potential prognostic factors to determine their individual impact. Then, a non-linear multivariate regression was used to determine the best combination of patient characteristics related to renal course [24].

The Kaplan and Meier method was used to calculate actuarial survival curves among patients of group A and group B, and tests of their differences were based on a generalized Wilcoxon test [25].

The statistical package SAS using the procedure PHREG was used for the analysis.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 STATISTICAL METHODS
 RESULTS
 REFERENCES
 
Fifty patients entered the study before May 1987, and were followed up for at least three months. At the start of the study, the two groups were similar for age, gender, weight, GFR, renal failure etiologies and blood pressure level (Table 2). The antihypertensive drugs used in both groups were comparable. During the study, six patients refused diet A and two diet B. Four patients died, two in each group.


View this table:
[in this window]
[in a new window]
 
Table 2. Distribution of Patients at Start of the Study According to Age, Gender, Weight, Glomerular Filtration Rate, Renal Failure Etiology and Blood Pressure

 
There was no statistically significant difference in comparing renal survival of patients between the two dietary regimens (ß=0.108, p=0.713) (Fig. 1). Severe dietary protein restriction did not appear as an efficient procedure in prevention of renal function degradation, compared to moderate protein intake regimen.



View larger version (11K):
[in this window]
[in a new window]
 
Fig. 1. Kaplan-Meier survival curve (months) for the two patient groups, according to output criteria of glomerular filtration rate <5 mL/min/1.73m2 (group A=dashed lines, group B: solid lines).

 
As could be expected, the only two significant variables related to renal survival were onset values of glomerular filtration rate (ß=-0.17, p=0.0007) and clearance of Walser (ß=-0.27, p=0.0004). No other variable remained significant in predicting renal survival, including age (ß=0.013, p=0.25) and chronic renal failure etiology (ß=-0.137, p=0.27).

A significant weight loss was observed in group A between the start and the end of the study (60.3±10.7 kg vs. 57.7±10.6 kg [mean±standard deviation, SD]). This weight loss concerned significantly lean and fat body mass (Table 3). No difference for weight was observed in Group B.


View this table:
[in this window]
[in a new window]
 
Table 3. Nutritional Anthropometric Measurements (Mean±Standard Deviation)

 
Albumin, TBPA, RBP, aminoacids plasma levels were not different at the end of the study between the two groups and between start and end of the study in each group (Table 4). The valine/glycine ratio decreased between start and end in Group A (1.00±0.35 [mean±SD] vs. 0.63±0.23) and remained stable in B. Uremia decreased significantly in Group A (22.7±5.2 mmol/L to 18.5±6.7 mmol/L) and increased in Group B (26.8±9.0 mmol/L to 34.9±9.9 mmol/L). Moreover at the end of the study, uremia was lower in Group A than in Group B (18.5±6.7 mmol/L vs. 34.9±8.9 mmol/L, p<0.001) (Table 5).


View this table:
[in this window]
[in a new window]
 
Table 4. Plasma Values for Biochemical Variables (Mean±Standard Deviation) Measured at Start and End of the Study

 

View this table:
[in this window]
[in a new window]
 
Table 5. Uremia and Urinary Excretion (Mean±Standard Deviation) in both Groups at Start and End of the Study

 
Urinary urea excretion decreased in the two groups at the end of the study, but dramatically in Group A, with a marked difference between the two groups (131.2±69.2 mmol/L in Group A vs. 213.8±67.1 mmol/L in Group B, p<0.001 (Table 5).

Nevertheless, the drop of urinary urea excretion occurred early after the beginning of the study, but remained stable until the end in both groups. The level of protein intake, assessed by urea nitrogen appearance according to Maroni’s formula, showed a 10% difference between urea nitrogen appearance and theoretical nitrogen intake estimation in the two groups (Table 6). As shown in Table 7, calcemia increased in group A from 2.28±0,17 mmol/L to 2.42±0,17 mmol/L, p<0.01. Phosphoremia remained stable. Calcemia decreased in group B from 2.33±0,18 mmol/L to 2.25±0,17 mmol/L, p<0.05. At the end of the study, Group A was different compared to Group B for calcemia (2.42±0,17 mmol/L vs. 2.25±0.17 mmol/L, p<0.01), phosphoremia (1.39±0.3 mmol/L vs. 1.80±0.65 mmol/L, p<0.02), alkaline phosphatase (61.42±22.93 1U/L vs. 78.7±27 1U/L, p<0.05) and parathormone plasma levels (2.71±1.55 ng/mL vs. 5.91±1.41 ng/mL, p<0.001) (Table 8).


View this table:
[in this window]
[in a new window]
 
Table 6. Protein Intake (g/day) Assessment by Urea Nitrogen Appearance According to Maroni Formula Theoretical Nitrogen Intake Estimation, in Groups A and B, at Start and End of the Study

 

View this table:
[in this window]
[in a new window]
 
Table 7. Plasma Calcium and Phosphorus Levels (Mean±Standard Deviation) in Groups A and B, at Start and End of the Study

 

View this table:
[in this window]
[in a new window]
 
Table 8. Plasma Values for Calcium Metabolism Indicators (Mean±Standard Deviation), at the End of the Study

 

    DISCUSSION
 
The diet compliance in both studied groups was good as confirmed by biological results and dietitian interviews. The 10% difference observed between UNA and theoretical protein intake suggests an unknown increase of protein intake in the two groups or a problem in the diet composition tables. This difference remains unclear. The Maroni formula could be quite inappropriate or the nutrition composition tables could be wrong. This severe protein restriction leads to a mild nutritional deficiency revealed by a fall in weight, lean and fat body mass. The only biological nutritional marker altered was the valine/glycine ratio in Group A, despite the ketoanalogue supplement. The lack of disturbances for biological nutritional parameters can be related to their usual inability to assess nutritional status and deficiency among uremic subjects [26].

Phosphorus and calcium metabolism parameters showed the beneficial effects of the Group A diet: calcemia, phosphoremia, alkaline phosphatase and peripheral parathormone levels were within a normal range at the end of the study. At the same time, these parameters were modified in Group B, as usually observed in chronic renal failure. Beneficial results on phosphocalcic parameters have been reported in hemodialysed patients with ketoanalogue supplement [13,27]. This effect could be due either to a direct ketoanalogue impact on parathormone, a chelating role of ketoanalogue for dietary phosphorus or a regulation of the intracellular phosphorus incorporation [28, 15].

In past years, clinical investigators have reported variably beneficial results of dietary protein restriction in human subjects, and their conclusions remained questionable. The first beneficial results of a controlled trial showed a difference in the glomerular filtration decrease between a normal protein intake and a moderate protein restriction in patients with moderate glomerular filtration reduction [12]. They have not been confirmed by the large sample size American study MRDD (Modification of Diet in Renal Diseases) including 585 nondiabetic patients (creatinine clearance >25 mL/min at onset) [29]. Nevertheless the meta-analyses published by Fouque et al. in 1992 [30] and Pedrini et al. in 1996 [31] concluded there was a beneficial effect from the protein restriction diet. We prescribed a greater protein restriction at a GFR level below 20 mL/min/1.73m2. This severe protein restriction did not modify renal survival in our study according to our outset criteria. Nevertheless, we may hypothesize that the severe protein restriction regimen could have reduced uremic toxicity in patients who were near end-stage renal failure, as could suggest the trend of survival curves during the first twenty months according to our output criteria including uremic intolerance requiring a dialysis procedure.

Our results do not justify severe protein restriction with less than 0.6 g protein/kg/day for the limitation of GFR decrease when GFR is below 20 mL/min/1.73m2.

Even if questionable, protein restriction must be prescribed earlier in the renal failure course with the aim of a limitation of GFR decrease, as it has been suggested [10,11], although the optimal level of protein intake and the point at which protein restriction should be introduced remain not clearly determined. Phosphocalcic metabolism benefits of the severe restriction diet were obvious for all patients. Other studies showed a metabolic impact such as improvement in insulin action, glucose tolerance and in leukocytes chemiluminescence [32, 33] with a severe protein restriction diet supplemented with essential aminoacids and ketoanalogues. The specific role and the therapeutic benefit of such a protein restriction and ketoanalogue supplement needs to be specified. Moreover, the metabolic benefit of this type of regimen must be balanced with its cost and related social and familial disturbances.

Received November 1, 1998. Accepted June 1, 1999.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 STATISTICAL METHODS
 RESULTS
 REFERENCES
 

  1. Brenner BM, Meyer TW, Hostetter TH: Dietary protein intake and the progressive nature of kidney disease: the role of hemodynamically mediated glomerular injury in the pathogenesis of progressive glomerular sclerosis in aging, renal ablation, and intrinsic renal disease. N Engl J Med 307: 652–659, 1982.[Medline]
  2. Kleinknecht C, Salusky I, Broyer M, Gubler MC: Effect of various protein diets on growth, renal function, and survival of uremic rats. Kidney Int 15: 534–541, 1979.[Medline]
  3. Hostetter TH, Olson JS, Rennke HG, Venkatachalam MA, Brenner BM: Hyperfiltration in remnant nephrons: a potentially adverse response to renal ablation. Am J Physiol 241: F85–F93, 1981.[Abstract/Free Full Text]
  4. Neugarten J, Feiner HD, Schacht RG, Baldwein DA: Amelioration of experimental glomerulonephritis by dietary protein restriction. Kidney Int 24: 595–601, 1983.[Medline]
  5. Polzin DJ, Osborne CA, Hayden DW, Stevens JB: Influence of reduced protein diets on morbidity, mortality and renal function in dogs with induced chronic renal failure. Am J Vet Res 45: 506–517, 1984.[Medline]
  6. Barsotti G, Morelli E, Giannoni A, Guinucci A, Lupetti S, Giovanetti S: Restricted phosphorus and nitrogen intake to slow the progression of chronic renal failure: a controlled trial. Kidney Int 24:Suppl 16, S278–S284, 1983.
  7. Gretz N, Korb E, Strauch M: Low protein diet supplemented by keto acids in chronic renal failure. A prospective controlled study. Kidney Int 24:Suppl 16, S263–S267, 1983.
  8. Ihles BU, Becker GJ, Whitworth JA, Charlwood RA, Kincaid-Smith PS: The effect of protein restriction on the progression of renal insufficiency. N Engl J Med 321: 1773–1777, 1989.[Abstract]
  9. Mitch WE, Walser M: The effect of nutritional therapy on progression of chronic renal failure: quantitative assessment. Clin Res 24: 407 (Abstr), 1976.
  10. Locatelli F, Alberti D, Graziani G, Buccianti G, Redaelli B, Giangrande A and the Northern Italian Cooperative Study Group: Prospective, randomised, multicentre trial of effect of protein on progression of chronic renal insufficiency. Lancet 337: 1299–1304, 1991.[Medline]
  11. Zeller K, Whittaker E, Sullivan L, Raskin P, Jacobson MR: Effect of restricting dietary protein on the progression of renal failure in patients with insulin dependent diabetes mellitus. N Engl J Med 34: 78–84, 1991.
  12. Rosman JB, Ter Wee PM, Meijer S, Piers-Becht TPM, Sluiter WJ, Donker AJM: Prospective randomised trial of early dietary protein restriction in chronic renal failure. Lancet 2: 1291–1296, 1984.[Medline]
  13. Barsotti G, Guiducci A, Ciardella F, Giovanetti S: Effects on renal function of a low nitrogen diet supplemented with essential aminoacids and ketoanalogues and of hemodialysis and free protein supply in patients with chronic renal failure. Nephron 27: 113–117, 1981.[Medline]
  14. Kopple JD, Swendseid ME. Aminoacid and ketoacid diets for therapy in renal failure. Nephron 18: 1–12, 1977.[Medline]
  15. Meisinger E, Strauch M: Controlled trial of two ketoacids supplements on renal function, nutritional status and bone metabolism in uremic patients. Kidney Int 32: 5170–5173, 1987.
  16. Mitch WE, Walser M, Steinman TL, Hill S, Zeger S, Tungsanga K: The effect of a keto amino acid supplement to a restricted diet on the progression of chronic renal failure. N Engl J Med 311: 623–629, 1984.[Abstract]
  17. Walser M: Keto acid therapy in chronic renal failure. Nephron 217: 5774, 1978.
  18. Walser M, Mitch WE, Abras E: Supplements containing amino acido and keto acids in the treatment of chronic uremia. Kidney Int 24 (Suppl 16): S285–S289, 1983.
  19. Cockcroft DW, Gault MH: Prediction of creatinine clearance from serum creatinine. Nephron 16: 31–35, 1975.
  20. Maroni BJ, Steinman TI, Mitch WE: A method for estimating nitrogen intake of patients with chronic renal failure. Kidney Int 27: 58–69, 1985.[Medline]
  21. Durnin JVGA, Rahman MM: The assessment of the amount of fat in the human body from measurements of skinfold thickness. Br J Nutr 21: 681–689, 1967.[Medline]
  22. Heymsfield SB, Mc Manus CB, Smith J, Stevens V, Nixon DN: Anthropometric measurement of muscle mass: revised equations for calculating bone-free arm muscle area. Am J Clin Nutr 36: 680–690, 1982.[Abstract/Free Full Text]
  23. Cox DR: Regression models and life tables. J R Stat Soc 34: 187–220, 1972.
  24. Christensen E: Multivariate survival analysis using Cox regression model. Hepatology 7: 1346–1358, 1987.[Medline]
  25. Kaplan EL, Meier P: Non parametric estimation from incomplete observations. J Am Stat Assoc 53: 457–481, 1958.
  26. Blumenkrantz MJ, Kopple JD, Kutman RA, Chan YK, Barbour GL, Roberts C, Shen FH, Gandhi VC, Tucker CT, Curtis FK, Coburn JW: Methods for assessing nutritional status of patients with renal failure. Am J Clin Nutr 33: 1586–1597, 1980.[Abstract/Free Full Text]
  27. Lindenau K, Kokot F, Frohling PT: Suppression of parathyroid hormone by therapy with a mixture of ketoanalogues/amino acids in hemodialysis patients. Nephron 43: 84–86, 1986.[Medline]
  28. Frohling PT, Kokot F, Schmicker R, Kaschube I, Lindenau K, Vetter K: Influence of ketoacids on serum parathyroide hormone levels in patients with chronic renal failure. Clin Nephrol 20: 212–215, 1983.[Medline]
  29. Klahr S, Levey AS, Beck GJ, Caggiula AW, Hunsicker L, John W, Striker G: For the Modification of Diet in Renal Disease study Group. The effects of dietary protein restriction and blood-pressure central on the progression of chronic renal disease. N Engl J Med 330: 877–884, 1994.[Abstract/Free Full Text]
  30. Fouque D, Laville M, Boissel JB, Chiffet R, Labeeuw M, Zech PY: Controlled low protein diets in chronic renal insufficiency: meta-analysis. BMJ 304: 216–220, 1992.
  31. Pedrini MT, Levey AS, Lau J, Chalmers TC, Wang PH: The effects of dietary protein restriction on the progression of diabetic and nondiabetic renal diseases: a meta-analysis. Ann Intern Med 124: 627–632, 1996.[Abstract/Free Full Text]
  32. Aparicio M, Vincendeau Ph, Gin H, Potaux L, Bouchet JL, Martin-Dupont Ph, Morel D, De Précigout V, Bezian JH: Effect of a low-protein diet on chemiluminescence production by leukocytes from uremic patients. Nephron 48: 315–318, 1988.[Medline]
  33. Gin H, Aparicio M, Potaux L, de Precigout V, Bouchet JL, Aubertin J: Low protein and low phosphorus diet in patients with chronic renal failure: influence on glucose tolerance and tissue insulin sensitivity. Metabolism 36: 1080–1085, 1987.[Medline]



This article has been cited by other articles:


Home page
J. Nutr.Home page
N. J. M. Cano, D. Fouque, and X. M. Leverve
Application of Branched-Chain Amino Acids in Human Pathological States: Renal Failure
J. Nutr., January 1, 2006; 136(1): 299S - 307S.
[Abstract] [Full Text] [PDF]


Home page
Nephrol Dial TransplantHome page
D. Fouque, P. Wang, M. Laville, and J.-P. Boissel
Low protein diets delay end-stage renal disease in non-diabetic adults with chronic renal failure
Nephrol. Dial. Transplant., December 1, 2000; 15(12): 1986 - 1992.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Malvy, D.
Right arrow Articles by Nivet, H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Malvy, D.
Right arrow Articles by Nivet, H.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS