Nephrol Dial Transplant (1998) 13 [Suppl 6 ]: 25–30 Nephrology Dialysis Transplantation Urea rebound and effectively delivered dialysis dose S. Alloatti, A. Molino, M. Manes and G. M. Bosticardo1 Dialysis Unit, Aosta and 1Dialysis Unit, Ivrea, Italy Introduction Although the non-single-pool behaviour of urea kinetics has been pointed out [1–5], and shown to be relevant particularly in high-efficiency dialysis [6 ], the need to take urea disequilibrium into account even for practical purposes has become evident in recent years, in that it has improved knowledge of urea rebound ( UR), which is a direct consequence of disequilibrium. At least five causes may contribute to UR genesis (Figure 1), and their respective roles are analysed here. Access recirculation (AR) The sharp increase in urea concentration in the first seconds after the blood pump stops depends on the AR, if present, the degree of which is influenced by schedule parameters and patient vascular dynamics ( Table 1). The AR reversal lasts a few seconds after the interruption of the cycling of some venous blood flow to the dialyser. Its recognition is one of the most important goals of urea kinetics, in order to detect the cause of a decrease in efficiency of dialysis or to predict Table 1. Main causes of access recirculation $ Stenosis post-venous needle —anatomical —functional (vasoconstriction) $ Excessive proximity of the needles $ Large vessel diameter, especially if protesic, with consequently reduced blood flow $ Needle reversal $ Fistula/blood pump flow ratio near 1 —in baseline condition due to insufficient flow —during dialysis session due to reduction of cardiac output or blood pressure —high blood pump flow Fig. 1. Different phenomena involved in the genesis of urea rebound ( UR). Correspondence and offprint requests to: S. Alloatti, Servizio di Nefrologia e Dialisi, Ospedale Regionale di Aosta, Viale Ginevra, 3, 11100 Aosta, Italy. © 1998 European Renal Association–European Dialysis and Transplant Association 26 a vascular access stenosis [7,8] treatable surgically or by angioplasty. The reduction in efficiency depends on the concentration of toxic substances at the dialyser inlet artefactually lowered by AR, proportionally decreasing the ‘effective’ body clearance, while the dialyser clearance remains unchanged. The factor ( f ) to correct the dialyser clearance for ar AR is expressed by the following formula [9]: f =(1−R)/[1−R(1−K /Q )] ar d b where R is the recirculation fraction, K is the dialyser d clearance and Q is the blood flow. Therefore, K b ar (dialyser clearance reduced by AR)=K ×f . It is d ar evident that AR affects the dialysis efficiency mainly for low molecular weight toxins with fractional extraction ( K /Q ) near unity [10]. d b Cardiopulmonary recirculation (CPR) The dialytic relevance of this phenomenon, well known in physiology (Figure 2), has been recognized only recently [9,11,12]: the dialysed blood coming from the filter is mixed with venous systemic blood, lowering its urea concentration, and is pumped by the right ventricle to pulmonary tissue (where the change in solute concentration is negligible), and then reaches, via the left ventricle, the peripheral arterial circulation as far as the A–V fistula. As a result of CPR, blood at the dialyser inlet has a urea concentration lower than that of systemic venous blood (i.e. at the opposite arm vein), again reducing the effective body clearance. CPR is also the cause of the surprising reduction in urea concentration that occurs in the first minutes at the start of dialysis. The arterial–venous gradient is maintained during the whole dialytic phase, and its reversal begins about 20 s after stopping the blood pump at the end of dialysis (or after switching to isolated ultrafiltration); this delay corresponds to the time needed for cardiopulmonary transit, while the complete reversal takes ~2 min [9]. The relevance of CPR to reduction in dialysis efficiency has been estimated in high-efficiency dialysis to S. Alloatti et al. be ~11% (range 7–22%) [9]. The factor to correct the dialyser clearance, or to predict urea concentration at the filter inlet, may be obtained by the following formula: f =1/[1+K /(CO–Q )] cpr d ac where K is the dialyser clearance, CO is the cardiac d output and Q is the fistula flow. Therefore, K ac cpr (dialyser clearance reduced by CPR)=K ×f . d cpr As these parameters may change during dialysis (mainly CO), consequently CPR will also vary, as will dialysis efficiency. Another point regards the obvious absence of CPR when venous blood is employed instead of an A–V fistula: this can make up for the presence of AR, often affecting double lumen central venous catheters. Besides the reduction in efficiency, another important consequence of CPR is the interference with AR measurement: the traditional procedure using the systemic sample ( Table 2a) is wrong and invariably overestimates AR. In many studies, a blood urea nitrogen (BUN ) concentration difference between systemic and arterial samples was constantly found and was erroneously attributed to AR. The correct procedure ( Table 2b) is based on a sampling technique that avoids only AR, as do ‘low flow’ or ‘stop flow’ methods [10]. It is critical to obtain a reliable A2 sample. We have to ensure: (i) a time delay before sampling which is long enough to allow AR reversal; (ii) an interval no longer than 20 s that artefactually should increase the BUN concentration as a consequence of partial CPR reversal; and (iii) a complete wash-out of blood affected by AR (the sampling port in the arterial line should be placed as near as possible to the arterial needle). However, due to the slight concentration difference between A1 and A2, the AR measurement could be affected by routine laboratory inaccuracy [13]; besides the urea method, several recent technical devices allow detection and quantification of AR, as a saline bolus measured by ultrasound doppler [14], optical [15] or conductivity methods [16 ], or by duplex colour flow doppler [17]. Alternatively, the thermal bolus method [18] implemented in some dialysis machines is simpler and automated, although it produces overlapping of AR and CPR due to the duration of dialysate cooling (2 min). Finger occlusion of the vein between the two needles [19] with evaluation of arterial pre-pump and venous pressure change is less reliable and does not allow any quantification. Table 2. Formulae for measuring AR (a) Classic formula AR= Fig. 2. Cardiopulmonary recirculation (CPR). Values are expressed in BUN (mg/dl ). As a consequence of CPR, an arterio-venous urea gradient of 5 mg/dl between the arterial blood to the dialyser and the systemic venous blood is set up. S–A ×100 S–V (b) Correct formula AR= A2–A1 ×100 A2–V In (a) S, systemic urea concentration; A, arterial urea, blood pump running; V, venous urea concentration. In (b) A2, arterial urea with low flow or stop flow; A1, arterial urea, blood pump running; V, venous urea concentration. Urea rebound and dialysis dose 27 Intercompartmental membrane-dependent disequilibrium According to this well-recognized theory, the human body is composed of two or more compartments (Figure 3), disposed ‘in series’ and separated by cell membranes; equilibration between compartments should follow first order kinetics, with a mass transfer coefficient dependent on membrane resistance. However, in the literature, a large variability of this coefficient has been found in dialysis patients, ranging from 0.3 to 1.8 l/min [20], difficult to explain as a physiologic cell membrane phenomenon, while a value of 0.9 l/min has been measured by 15N-labelled urea infusion between dialysis sessions [21]. Intercompartmental flow-dependent disequilibrium This concept revisits a theory already described by Dedrick [22] based on different blood flows in various body tissues. Skin, muscle and bone containing up to 80% of the urea pool are perfused by 15–20% of the cardiac output, at a markedly lower flow rate compared with better perfused organs [23]. During dialysis, a concentration gradient among body compartments with different blood flow in capillary beds leads to accumulation of urea in those organs which are less well perfused. The compartment disposition is thus ‘in parallel’ and no longer ‘in series’ ( Figure 4). New mathematical two- or multi-pool models have been proposed, the ‘regional blood flow model’ [24] and the ‘heterogeneous blood flow model’ [25], that may predict the UR without the need for further explanation, even assuming an infinite transcellular membrane permeability. The blood flow models are more compatible with the large variation in UR found in the literature for different patients and even within the same session, because blood flow may be influenced by several physiologic factors, such as vasoconstriction which may functionally exclude some tissue beds from active circulation. This phenomenon is also known as peripheral Fig. 4. Regional blood flow model. Two or more body compartments (in parallel ) with different blood flows can explain ‘per se’ urea disequilibrium. sequestration, body district hypoperfusion and compartmentalization. The concentration gradient induces a diffusion of stored urea to blood, causing UR after the session, and sometimes possibly during dialysis, as evidenced by irregular BUN profiles obtained with frequent sequential samples. Several factors can influence this phenomenon: (i) ultrafiltration, as demonstrated by a 14% increase of UR in dialysis with marked ultrafiltration compared with the results obtained in sessions without water removal [26 ]; (ii) cardiac output, inversely related to UR, as observed when comparing patients with low cardiac index with others with high values [23]; (iii) duration of dialysis, as vasoconstriction, and consequently UR, can increase during the dialysis treatment [27]; (iv) physical activity during dialysis has been proven to reduce UR [28]; and (v) temperature, that may play an important role, as shown by experimental reduction of the concentration gradient between the peripheral vein and vascular access after immersion of the contralateral arm in hot water at 39°C [29]. Somewhat surprisingly, in another experiment, cold dialysate did not increase the compartmentalization effect: this has been explained as a vascular effect limited mainly to the skin, that represents only 10–15% of body water volume without affecting the muscle mass perfusion [30]. All this evidence supports the regional flow model that explains UR better than the membrane-dependent model. Nevertheless, the exact relative role of both phenomena in urea compartmentalization has not yet been quantified. Dialysis-induced hypercatabolism Fig. 3. Two-compartment model (in series). The dialyser draws out urea from the extracellular compartment. Urea shift from the intrato the extracellular compartment is regulated by transcellular clearance (~900 ml/min). This phenomenon was suggested in the past as a possible cause of UR [5,31,32]: although recirculation and disequilibrium may now be recognized as the fundamental explanation, a possible role for hypercatabolism has not been disproven. After the end of dialysis, the urea generation contributes to UR, and equilibrated samples obtained at 30–60 min should be corrected by subtracting the urea generated to obtain the ‘net rebound’. It must, however, be pointed out that the urea generation rate is not constant, being 28 lower during the long interdialytic interval of classical schedules, as reported by Lopot [33]. In our opinion, this phenomenon merits further clarification. Theoretical and practical consequences of UR An important field of urea kinetics has been the comparison between the classical single-pool urea kinetic model ( UKM ) and direct dialysis quantification (DDQ). Several authors have pointed out the significant differences of results [34–36 ]: our group recently has demonstrated that by taking account of the UR phenomenon by equilibrated samples (30 min postdialysis) and by using the correct formulae, UKM and DDQ models may be reconciled, giving quite similar kinetic outputs [37]. Classical UKM [38] and analysis of the National Cooperative Dialysis Study results [39] were based on the assumption of a single-pool urea behaviour, while it is well recognized that UR significantly affects the post-dialysis BUN, and therefore we must clearly distinguish between single-pool Kt/V ( Kt/V ) and the sp equilibrated one ( Kt/V ) that expresses the true diaeq lysis dose more reliably. From a practical viewpoint, other important consequences cannot be neglected: urea generation rate and protein catabolic rate are also artefactually influenced by UR, resulting in overestimation by single-pool kinetics. Therefore, it must be emphasized that the degree of UR may be measured as the simple ratio: UR1=(C –C )/C ×100 eq post post or by the alternative expression: UR2=(C -C )/(C −C )×100 eq post pre post Although UR2 expresses better the meaning of rebound as the ratio to the pre-post concentration drop, and usually gives lower results than UR1, in our opinion the latter is preferable because its percentage value better approximates to the percentage difference between Kt/V and Kt/V . sp eq The relevance of UR, and consequently the difference between Kt/V and Kt/V , is proportional to sp eq the efficiency of dialysis, that may be expressed by the K/V ratio, or Kt/V per h: Spiegel observed a Kt/V difference of 11% with Kt/V per h <0.35, that rose to 31% with Kt/V per h >0.55 [40]. S. Alloatti et al. (ii) Long dialysis time, as the French experience has demonstrated [41], either because very high Kt/V values >1.8 may be easily achieved, or due to the reduced difference between Kt/V and Kt/V consp eq sequent to low Kt/V per h values. (iii) Daily dialysis schedules [42], mainly with long sessions [43], which obviously offset the UR phenomenon and the consequent disequilibrium. (iv) Bi- or multicompartmental kinetic models, according to membrane-dependent or flow-dependent models, may more rationally predict toxin removal than one-compartment models; however, these approaches are not simple enough for clinical practice. (v) Equilibrated singlepool kinetics: this simple and reliable approach is not well accepted by the patients due to the practical difficulty of obtaining an equilibrated sample at 30 min post-dialysis. (vi) Standard single-pool kinetics corrected in the single patient for the percentage overestimation by periodical Kt/V checks. (vii) Estimation eq of UR from ‘inbound’. The equilibrated post-dialysis BUN may be estimated by the Smye algorithm ( Table 3) [43], based on an intradialytic sample drawn at about one-third of the way through the dialysis session: from the difference beween the measured value and that predicted according to an exponential decline of urea concentration, the post-dialysis BUN is corrected to estimate the equilibrated one. Experimental tests have confirmed the reliability of this procedure [20,45]: it must be emphasized that exactly identical sampling modalities have to be employed intra- and post-dialysis (both with the blood pump running or both with the low flow technique) [45] and it must be ensured that AR and CPR do not change. In seven cases, we have also found a sufficient approximation Table 3. Correction formulae to obtain Kt/V Smye Daugirdas Tattersall eq from Kt/V sp C =C e−ltl=1/(t–s) In (C /C eq o s t Kt/V =Kt/V × eq sp [1–0.6/(t/60)]+0.03 Kt/V =Kt/V ×t/(t+35) eq sp C =concentration at the equilibrium; C =urea concentration at eq o,s,t the start, at time s and at the end of dialysis; t=dialysis time, s= time s (about one-third of the way through the session). How may UR be overcome by the nephrologist’s choices? There are many possible strategies which may be undertaken. (i) Large dialysis doses is one obvious solution: a target Kt/V higher than the usual values may offer a safety margin for the Kt/V difference attributable to UR, therefore making up for occasional pitfalls that may compromise dialysis efficiency further (such as dialyser clotting, recirculation, inadequate blood pump effective flow, co-current flows, etc.). Fig. 5. Percentage differences between Kt/V and Kt/V obtained sp eq with the Daugirdas and Tattersall correction formulae. Mathematical simulation with a Kt/V =1.0 hypothesis. sp Urea rebound and dialysis dose 29 Fig. 6. Percentage differences between measured Kt/V and Kt/V eq eq obtained with the Daugirdas and Tattersall correction formulae, in 13 cases. Average %D using the Daugirdas formula: −1.229, SD 6.1. Average %D using the Tattersall formula: −0.885, SD 6.2. of the predicted to measured values: (C equilibrated, measured=0.364 mg/dl, C Smye=0.359 mg/dl, D%= –1.4%, SD=8.7). A similar concept of predicting UR by comparison of the single-pool profile with that measured in plasma water or dialysate has been implemented in automated urea monitors [46,47], where the multiple-point curve may theoretically guarantee a better reliability. (viii) Simple mathematical correction of Kt/V to Kt/V has been suggested recently [48,49] sp eq derived by the K/V ratio (Table 3), as an index of dialysis efficiency that is well correlated to UR. In Figure 5, a mathematical simulation with the above formulae is shown for a Kt/V target of 1.0 over a wide range of dialysis times. The differences between the two Kt/Vs are very slight with long dialysis time, while they are substantial with very short treatments. We have compared in 13 cases (Figure 6) the Kt/V eq estimated by Daugirdas and Tattersall formulae with a reference Kt/V obtained by dialysate collection eq [37]: the average values seem quite satisfactory, however, with data dispersion, also expressed by the large standard deviation of the percentage difference. In our opinion, however, besides published data, larger scale studies are advisable to evaluate these very interesting approaches more thoroughly. In conclusion, UR results from several physiological and dialytic phenomena, particularly relevant during high-efficiency dialysis: the simple increase in dialyser performance to compensate for time reduction invariably leads to underdelivery of dialysis dose, for the reasons summarized in Figure 7. Raised blood flow may increase the degree of AR, and high clearance values per se will change the CPR and disequilibrium, without producing a proportional amelioration of ‘effective’ body clearance; also increased hourly ultrafiltration to compensate for reduced dialysis time may affect disequilibrium and compartmentalization by inducing hypotension, requiring the blood pump to be lowered further. The risk of prescribing an insufficient dialysis dose is prevented by the adequate knowledge of such complex phenomena which the nephrologist must recognize readily. Fig. 7. Risk of delivering an insufficient dialysis dose by compensating dialysis time reduction with dialyser clearance increase. K, dialyser clearance; t, dialysis time; V, urea distribution volume; Q , b blood pump flow; AR, access recirculation; CPR, cardiopulmonary recirculation; Q , ultrafiltration rate; C , urea concentration at uf in dialyser inlet. Acknowledgements. The authors thank Mrs M. Bernardi and C. Alerci for technical assistance and for typing the manuscript. References 1. Grossmann DF, Kopp KF. Kinetics of urea diffusion in the organism during haemodialysis. A quantitative control of elimination of urea. Proc EDTA 1966; 3: 290–294 2. Murdagh HV, Doyle EM. Effect of hemoglobin on erythrocyte urea concentration. J Lab Clin Med 1961; 57: 759–762 3. Rastogi SP, Frost T, Anderson J, Ashcroft R, Kerr DN. The significance of disequilibrium between body compartments in the treatment of chronic renal failure by haemodialysis. Proc EDTA 1969; 5: 102–115 4. Keshaviah P, Illstrup K, Shapiro W, Hanson G. Haemodialysis urea kinetics is not single pool. Kidney Int 1985; 27: 165 5. Alloatti S, Bosticardo GM, Torazza MC, Gaiter AM, Nebiolo PE. Transcellular disequilibrium and intradialytic catabolism limit the reliability of urea kinetic formulas. Trans Am Soc Artif Intern Org 1989; 35: 328–330 6. Alloatti S, Torazza MC, Nebiolo PE, Gaiter AM, Gabella P, Bosticardo GM. Is it rational to use Kt/V to calculate the treatment time for high efficiency dialysis? Int J Artif Org 1989; 12 [Suppl 4]: 141–144 7. Levy SS, Sherman RA, Nosher JL. Value of clinical screening for detection of asymptomatic hemodialysis vascular access stenosis. Angiology 1992; 43: 421–424 8. Nardi L, Bosch J. Recirculation: review, techniques for measurement and ability to predict hemoaccess stenosis before and after angioplasty. Blood Purif 1988; 6: 85–89 9. Schneditz D, Kaufman AM, Polaschegg HD, Levin NW, Daugirdas JT. Cardiopulmonary recirculation during hemodialysis. Kidney Int 1992; 42: 1450–1456 10. Sherman RA. Ricircolo nell’accesso per emodialisi. Momento Med 1996; 4: 30–36 11. Depner TA, Rizwan S, Cheer AY, Wagner JM, Eder LA. High venous urea concentration in the opposite arm. Trans Am Soc Artif Intern Org 1991; 37: M141–M143 12. Sherman RA. Recirculation revisited. Semin Dial 1991; 4: 221–223 13. Hester RL, Curry E, Bower J. The determination of hemodialysis blood recirculation using blood urea nitrogen measurements. Am J Kidney Dis 1992; 20: 598–602 14. Depner TA, Krivitski NM. Clinical measurement of blood flow 30 in hemodialysis access fistulae and grafts by ultrasound dilution. J Am Soc Artif Intern Org 1995; 41: M745–M749 15 Aldridge C, Greenwood RN, Frampton CF, Wilkinson JS, Cattell WR. Instrument design for the bedside assessment of arteriovenous fistulae in haemodialysis patients. Proc EDTNAERCA 1985; 14: 255–260 16 Lindsay RM, Burbank J, Brugger J et al. A device and a method for rapid and accurate measurement of access recirculation during hemodialysis. Kidney Int 1996; 49: 1152–1160 17. Sands J, Young S, Miranda C. The effect of Doppler flow screening studies and elective revisions on dialysis access failure. J Am Soc Artif Intern Org 1992; 38: M524–M527 18. Kaufman AM, Kraemer M, Godmere R et al. Hemodialysis access recirculation measurements by blood temperature monitoring—a new technique. J Am Soc Nephrol 1991; 2: 332 19. Butterly DW, Schwab SJ. Hemodialysis vascular access: effect on urea kinetics and the dialysis prescription. Am J Nephrol 1996; 16: 45–51 20. Bankhead MM, Toto RD, Star RA. Accuracy of urea removal estimated by kinetic models. Kidney Int 1995; 48: 785–793 21. Pearson P, Lew S, Abramson F, Bosh J. Measurement of kinetic parameters for urea in end stage renal disease patients using a two compartment model. J Am Soc Nephrol 1994; 4: 1869–1873 22. Dedrick RL, Bischoff KB. Pharmacokinetics in application of the artificial kidney. Chem Eng Prog Symp Ser 1968; 64: 32–44 23. George TO, Priester-Coary A, Dunea G, Schneditz D, Tarif N, Daugirdas T. Cardiac output and urea kinetics in dialysis patients: evidence supporting the regional blood flow model. Kidney Int 1996; 50: 1273–1277 24. Schneditz D, Fariyike B, Osheroff R, Levin NW. Is intercompartmental urea clearance during hemodialysis a perfusion term? A comparison of two pool urea kinetic models. J Am Soc Nephrol 1995; 6: 1360–1370 25. Haraldsson B. Higher Kt/V is needed for adequate dialysis if the treatment time is reduced. Nephrol Dial Transplant 1995; 10: 1845–1851 26. Schneditz D, Zaluska WT, Morris AT et al. Effect of ultrafiltration on peripheral urea sequestration in hemodialysis patients. J Am Soc Nephrol 1996; 7: 1525 27. Depner TA, Rizwan S, Cheer AY, Wagner JM, Eder LA. High venous urea concentrations in the opposite arm. J Am Soc Artif Intern Org 1991; 37: M141–M143 28. Ronco C, Crepaldi C, Brendolan A, LaGreca G. Intradialytic excercise increases effective dialysis efficiency and reduces rebound. J Am Soc Nephrol 1995; 6: 612 29. Depner T, Rizwan S, Cheer A, Wagner J. Peripheral urea disequilibrium during hemodialysis is temperature-dependent. J Am Soc Nephrol 1991; 2: 321 30. Yu AW, Ing TS, Zabaneh RI, Daugirdas JT. Effect of dialysate temperature on central hemodynamics and urea kinetics. Kidney Int 1995; 48: 237–243 31. Shindhelm K, Farrel PC. Patient–hemodialyzer interactions. Trans Am Soc Artif Intern Org 1978; 24: 357–366 S. Alloatti et al. 32. Farell PC. Adequacy of dialysis: marker molecules and kinetic modeling. Artif Org 1986; 10: 195–200 33. Lopot F, Kotyk P, Bláha J, Válek A. Analysis of the urea generation rate and the protein catabolic rate in hemodialyzed patients. Artif Org 1995; 19: 832–836 34. Aebischer P, Schorderet D, Juillerat A, Wauters J, Fellay G. Comparison of urea kinetics and direct dialysis quantification in haemodialysis patients. Trans Am Soc Artif Intern Org 1985; 31: 338–342 35. Ellis P, Malchesky P, Magnusson M, Goormastic M, Nakamoto S. Comparison of two methods of kinetic modeling. Trans Am Soc Artif Intern Org 1984; 30: 60–64 36. Lankhorst B, Ellis P, Nosse C, Malchesky P, Magnusson M. A practical guide to kinetic modeling using the technique of direct dialysis quantification. Dial Transplant 1983; 12: 694–706 37. Bosticardo GM, Alloatti S. Agreement between the classical urea kinetic model and direct dialysis quantification: importance of urea rebound. Nephron 1996; 74: 674–679 38. Gotch FA. Kinetic modeling in hemodialysis. In: Nissenson A, Gentile D, Fine RA, eds. Clinical Dialysis. Appleton-CenturyCrofts, Norwalk, CT: 1989 39. Lowrie EG, Teehan BP. Principles of prescribing dialysis therapy: implementing recommendations from the National Cooperative Dialysis Study. Kidney Int 1983; 23 [Suppl 13]: 113–122 40. Spiegel DM, Baker PL, Babcock S, Contiguglia R, Klein M. Hemodialysis urea rebound: the effect of increasing dialysis efficiency. Am J Kidney Dis 1995; 25: 26–29 41. Charra B, Calemard E, Ruffet M et al. Survival as an index of adequacy of dialysis. Kidney Int 1992; 41: 1286–1291 42. Buoncristiani U, Quintaliani G, Cozzari M, Giombini L, Ragaiolo M. Daily dialysis: long-term clinical metabolic results. Kidney Int 1988; 33 [Suppl 24]: S137–S140 43. Pierratos A, Uldall R, Ouwendyk M, Francoeur R, Vas S. Two year experience with slow nocturnal hemodialysis (SNHD). J Am Soc Nephrol 1996; 7: 1417 44. Smye SW, Dunderdale E, Brownridge G, Will E. Estimation of treatment dose in high-efficiency haemodialysis. Nephron 1994; 67: 24–29 45. Pflederer BR, Torrey C, Priester-Coary A, Lau AH, Daugirdas JT. Estimating equilibrated Kt/V from an intradialytic sample: effects of access and cardiopulmonary recirculations. Kidney Int 1995; 48: 832–837 46. Alloatti S, Molino A, Manes M, Bonfant G, Bosticardo GM. On-line dialysate urea monitor: comparison with urea kinetics. Int J Artif Org 1995; 18: 548–552 47. Santoro A et al.On-line urea kinetics in haemodiafiltration. Nephrol Dial Transplant 1996; 11: 1084–1092 48. Daugirdas JT, Schneditz D. Overestimation of hemodialysis dose (delta Kt/V ) depends on dialysis efficiency ( K/V ) by regional blood flow but not by conventional 2-pool urea kinetic analyses. J Am Soc Artif Intern Org 1995; 41: M719–M724 49. Tattersall J, Chamney P, Farrington K, Greenwood R. Predicting the post-dialysis rebound—a simple method. J Am Soc Nephrol 1996; 7: 1526
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