Should we adjust erythropoiesis-stimulating agent dosage to postdialysis hemoglobin levels? A pilot study
- Nieves Castillo†1,
- Patricia García-García†1,
- Antonio Rivero1,
- Alejandro Jiménez-Sosa2,
- Manuel Macía1,
- María Adela Getino1,
- María Luisa Méndez1,
- Javier García-Pérez1 and
- Juan F Navarro-González1, 3Email author
© Castillo et al.; licensee BioMed Central Ltd. 2012
Received: 11 October 2011
Accepted: 18 June 2012
Published: 16 July 2012
Predialysis hemoglobin (Hb) may overestimate the true erithropoiesis-stimulating agents (ESA) requeriments. We tested whether predialysis Hb is a reliable predictor of the postdialysis level to better control ESA dosage, and evaluated the relation between ESA, Hb and cardiovascular events (CVE).
Cohort study including 67 stable hemodialysis patients. Pre- and post-dialysis Hb concentrations were measured, and ESA doses were calculated. A model to predict post-dialysis Hb is proposed. During 18 months follow-up, CVE, hospitalizations and mortality were collected.
After dialysis, Hb cocentration rise by 6.1 ± 5.6%. Using postdialysis Hb, the weight-adjusted ESA dosage would be lower respect to the prescription using predialysis Hb: 104 ± 120 vs 128 ± 124 U/kg/week (P < 0.001). Using predialysis Hb, 40.2% of subjects had a Hb level above 12 g/dL, whereas this percent increased to 70.1% using postdialysis Hb. During the follow-up, 15 patients had a CVE, without differences in Hb levels respect to subjects without CVE. However, patients with CVE had received higher ESA doses: 186 ± 180 vs 111 ± 98 U/Kg/week (P = 0.001). The prediction model is: Postdialysis Hb (g/dL) = 1.636 + 0.871 x predialysis Hb* (g/dL) + 0.099 x UF rate** (mL/kg/h) - 0.39 for women***. [R2 = 0.74; *P < 0,001; **P = 0.001; ***P = 0.03).
Postdialysis Hb can be a better reflect of the real Hb level in hemodialysis patients. Using postdialysis Hb would avoid the use of inappropriately high ESA doses. The prediction of postdialysis Hb with an adjusted model would help us to identify those patients at risk for ESA overdosification.
The introduction of erythropoiesis-stimulating agents (ESA) has been the most important breakthrough in the treatment of anemia associated to chronic kidney disease (CKD). However, concomitantly with the growing knowledge about anemia management with ESA, new clinical challenges have emerged, such as the definition of the optimal hemoglobin (Hb) target for these patients. Moreover, this target has changed repeatedly based on security reasons [1–3]. Recent randomized clinical trials have shown more frequent adverse events in patients treated to higher Hb targets, and therefore receiving higher ESA doses [4–7]. This opens the question about the potential harmful effects of ESA, specially in high doses, and their potential contribution to adverse outcomes in these patients . In addition, the potential association between ESA doses and adverse outcomes lead to question whether ESA dosage must be adjusted based on pre- or post-dialysis Hb values in hemodialysis (HD) population.
Clasically, prescription of ESA in HD patients has been based on the Hb concentration measured before the dialysis session, when volume overload may underestimate the real concentration of serum Hb. Diverse studies have described that serum Hb concentration varies during the HD session, and that Hb level is significantly different when it is measured before or after dialysis, or in the interdialysis period [9–12]. Therefore, predialysis Hb measurement might result in an overestimation of ESA dosage, representing a potential risk regarding ESA-related complications.
In the present study, we measured the Hb and Hematocrit (Hct) levels before and after a dialysis session in a group of stable maintenance HD patients in order to evaluate the variation of Hb and Hct during a dialysis session, the differences in EPO requirements and the associated economic impact. In addition, we prospectively analyzed the cardiovascular events (CVE) over a period of 18 months, and the potential relationship with Hb levels and EPO doses. Finally, since Hb measurement after the dialysis is not an usual clinical practice, we propose an equation to predict the post-dialysis Hb concentration based on an adjusted model.
This cohort pilot study included 67 subjects in an outpatient hemodialysis centre at the University Hospital Nuestra Señora de Candelaria (Santa Cruz de Tenerife, Spain). Any research that is reported in this manuscript has been approved by the local Ethics Committee at the University Hospital Nuestra Señora de Candelaria, and has been carried out in compliance with the Helsinki Declaration. All patients gave informed consent to participate in the study.
Baseline characteristics of the patients
65 ± 13(range 31–85)
Sex (male) —no. (%)
Diabetes —no. (%)
Underlying disease —no. (%)
- Diabetic nephropathy
- Policystic kidney disease
Charlson Comorbidity Index
6.08 ± 2.18
Time of dialysis (minutes)
237 ± 19.58
1.28 ± 0.22
8.03 ± 2.98 (range 1.51-16.27)
EPO dose per week (U)
8,059 ± 7,712
EPO dose per Kg and week (U)
118 ± 120.24
Type of EPO—no. (%)
- darbepoetin α
- epoetin α
- epoetin β
- without EPO
We measured the serum concentrations of Hb and Hct before and after the midweek HD session. We collected the prescribed EPO dose and calculated the dosage adjustment using the predialysis Hb level, as well as the hypothetical dose adjustment using the postdialysis Hb concentration. We calculated the difference and savings in dosage of EPO by patient and week, and the estimated cost reduction. The evolution of serum Hb concentration during an interdialysis period was analyzed in a small group of 5 patients. Serum Hb level was measured immediately before and after the dialysis session, and at 4, 24 and 48 hours postdialysis. In addition, we developed an adjusted model for the estimation of the postdialysis Hb concentration based on gender, predialysis Hb concentration and ultrafiltration (UF) rate.
During a follow-up period of 18 months, CVE, hospitalizations and mortality were recorded in order to analyze the potential relationship with Hb levels and EPO doses. The Charlson Comorbidity Index (CCI) , a score that includes age and comorbid conditions to which a specific weight is assigned, was used for valoration of comorbidity in each patient. Information was recorded by researchers from updated medical records. This index is used to adjust by comorbid conditions in longitudinal studies, and it has been specifically validated for patients with end-stage renal disease under dialysis therapy .
Results for quantitative variables are expressed as mean and standard deviation. Results for categorical variables are expressed with frequencies and percentages. Proportions were compared using the Chi-square test. Within groups measures for continuous variables were compared with Wilcoxon test and between groups comparison were carried out using the Mann–Whitney U (asymptotic test) test and Wilkoxon-Mann–Whitney test (exact test). Differences in Hb serum concentration measured at predialysis, immediately postdialysis, and 4, 24 and 48 h after the end of the dialysis session were tested using the Wilcoxon rank test. Linear regression analysis was used to predict the postdialysis hemoglobin concentration using the predialysis hemoglobin level, the hourly UF rate (mL/kg/hour) and gender as the independent variables. Risk of CVE according to ESA dose was calculated using partial Cox regression analysis, and the results are expressed as Hazard Ratio and its 95% confidence interval. As only 15 cardiovascular events occurred, the Cox models presented are not cumulative, each used model is individual. Statistical analyses were performed with StatXact v. 5.0.3 (Cytel Co., MA), STATISTICA v. 7.1 (StatSoft, OK) and SPSS v. 17.0 (Chicago, IL). P values lower than 0.05 were considered statistically significant.
The mean predialysis and postdialysis Hb concentrations were 11.7 ± 1.1 g/dL and 12.5 ± 1.2 g/dL, respectively (P < 0.001). The mean intradialytic percent variation (%Δ) of Hb and Hct levels were 6.1 ± 5.6% (range: -6.5 to 17.27) and 5.8 ± 5.6% (range: -9.3 to 17.1), respectively. The mean weight loss during dialysis was 2.19 ± 0.79 kg (Range: 0.5 to 3.8 kg), with a mean hourly UF rate of 8.03 ± 2.98 mL/kg/h (range 1.51 to 16.27 mL/kg/h). When comparing patients according to the UF volume, in subjects with an UF > 2500 mL/session the mean %Δ of Hb and Hct were 9.2 ± 4.8% and 9 ± 4.4%, respectively, significantly higher than those observed in patients with an UF rate < 2500 mL/session: 3.9 ± 5.2% and 3.8 ± 5.3%, respectively (P < 0.001). Regarding the changes in serum Hb concentration during the interdialysis period, a statistical significant difference was found between the pre- and the immediately postdialysis Hb levels (P = 0.043). However, no differences were found between the immediately postdialysis Hb concentration and those at 4 h (P = 0.20), 24 h (P = 0.34) and 48 h (P = 0.08) after dialysis.
Patients categorized according to pre and postdialysis Hb
Baseline comorbidities categorized by ESA dose
Comorbidity - N (%)
ESA dose (>18000 IU/week) N = 7
ESA dose (≤18000 IU/week) N = 60
Ischemic Heart Disease
Peripheral vascular disease
Pulmonary Disease (COPD)
The linear regression model to predict the postdialysis Hb concentration is as follows: Postdialysis Hb (g/dL) = 1.636 + 0.871 x predialysis Hb* (g/dL) + 0.099 x UF rate**(mL/kg/h) - 0.39 for women***. The adjusted coefficient of determination (R2) was 0.74 (*predialysis Hb, P < 0.001; **UFR, P = 0.001; ***gender, P = 0.031).
Partial Cox regression models to predict CVE controlling by age and comorbidities
EPO dose (IU/week)
Ischemic heart disease
EPO dose (IU/week)
EPO dose (IU/week)
EPO dose (IU/week)
EPO dose (IU/week)
EPO dose (IU/week)
EPO dose (IU/week)
Peripheral vascular disease
Finally, the aplication of postdialysis Hb to calculate the EPO dosage was associated with a reduction in cost: 101 ± 111 vs 124 ± 116 euros/patient/week, respectively (P < 0.001). In our dialysis center, for the 67 patients included in the study, this action would have saved 83,214 euros ($ 118,858)/year.
The main finding of our study is that the use of postdialysis Hb concentration to monitor and adjust EPO dosage would result in a significant reduction of EPO requeriments and costs. Specifically, this action in the present study was associated with a mean EPO dose decrease of 18.7% (U/Kg/week), and a mean cost reduction of 1,242 euros/patient/year ($ 1,774/patient/year). In addition, we present a simple model to estimate the postdialysis Hb level based on predialysis Hb, UF rate and gender. Our suggestion about the use of postdialysis Hb level to adjust and monitor ESA dosage may be a relevant issue, specially at the present moment, when the emergence of safety concerns and the changes in clinical practice recommendations have influenced physician practice in terms of reduction of target Hb, use of ESA and dosing regimens .
The Food and Drug Administration has recently announced that ESA should be prescribed under a risk management programme (the Risk Evaluation and Mitigation Strategy), since results from three recent randomized controlled trials – the Correction of Hemoglobin and Outcomes in Renal Insufficiency (CHOIR) , the Cardiovascular Risk Reduction by Early Anemia Treatment with Epoetin Beta (CREATE) , and the Trial to Reduce Cardiovascular Events with Aranesp Therapy (TREAT)  – showed that assigned chronic kidney disease patients (not in dialysis) to intervention with an ESA to achieve a high versus a low Hb target was associated with an increased risk of myocardial infarction, stroke and death. However, almost 10 years before, the Normal Hematocrit Trial (NHCT) , a study in which more than 1200 HD patients with congestive heart failure or ischemic heart disease were randomized to target Hct values of 42% (normal Hct group) and 30%, had to be stopped prematurely by the Data Safety Monitoring Board because of concerns of increased cardiovascular disease risk and mortality in the normal Hct arm.
Although the majority of studies related to anemia in HD have used predialysis Hb and Hct values, several works have analysed the postdialysis values of Hb, showing important results. Vlassopoulos et al.  measured Hb and Hct in 15 stable patients before the HD sesion, and 24, 48 and 72 hours in the interdialysis period. They observed a significant 24 h postdialysis rise in Hb and Hct as compared to the predialysis level, with a gradual decrease reaching non-significant differences before the next HD session. Similar findings were reported by Movilli et al.  and Bellizzi et al. . These authors observed that Hb and Hct levels after dialysis were similar to those observed immediately at the end of the HD session, and that these concentrations were significantly higher than the predialysis ones. Similarly, a significant increment in Hb and Hct levels after the HD procedure was observed in our study. The mean percent increase in the Hb and Hct values were 6.1% and 5.8%, respectively, and rise to around 9% in patients with a body weight loss ≥ 2.5 kg/session. Moreover, serum Hb concentrations measured at 4, 24 and 48 hours postdialysis remained elevated as compared with the predialysis Hb measurement, without significant differences respect to the immediately postdialysis Hb level. According to KDOQI guidelines , using postdialysis measurements, 70.1% of our patients had a serum Hb above 12 g/dL. Importantly, this represents that 64% of patients with a normal Hb target based on predialysis Hb concentration had an inadequately high Hb level when postdialysis determinations were used. These findings indicate that during the first 24–48 hours after the HD session a slow reequilibration occurs, first affecting to the extravascular space, and then to the intravascular compartment [10, 12], suggesting that HD patients present most of the time a Hb and Hct levels clearly higher (up to 15%) than the predialysis values . This results in the potential exposition of these patients to excessively high Hb and Hct concentrations for a prolonged period.
During the 18 months of follow-up in our study, 25% of patients had a CVE. There were no differences regarding Hb levels between patients with and without CVE. Conversely, patients who had a CVE had received significantly higher EPO doses than those without events. This relationship was not affected by some baseline comorbidities or dialysis adequacy, but probably the small sample size makes unclear the effect of other (i.e. diabetes, age, arrthymias, peripheral vascular disease and stroke). In addition, no CVE were observed in the 6 patients without ESA therapy. This observation points to the potential adverse outcomes associated with ESA administration, which has been suggested by other studies. Using data from the United States Renal Data System administrative claims, a retrospective cohort study of more than 90,000 prevalent HD patients showed a significant nonlinear relationship between increased epoetin dose and mortality . In another study that comprised more than 40,000 maintenance HD patients, an association between erythropoietin exposure and mortality over 3 years was observed at very high doses (> 20,000 units/week) . To further analyze the relationship among patient comorbidity, ESA dosage, and evolution with death hospitalization, myocardial infarction, stroke and heart failure as the primary compound objective, a secondary analysis of the CHOIR study was recently performed . In the adjusted models, the risk associated with randomization to the high-Hb group was not significant (p = 0.49), whereas high-dose erythropoietin dosage was associated with a 57% higher risk of the main variable (HR 1.57; CI: 1.04 to 2.36, p = 0.03). Therefore, although the results of these studies did not prove causality, they suggested that high ESA dose rather than the Hb level was associated with adverse outcome, reinforcing the actual recommendations about the strict adjustment of ESA dosage and the close monitorization of Hb levels.
In conclusion, our results highlight the potential importance of postdialysis Hb concentration to monitor the Hb and Hct target levels, and to adequately adjust the ESA dosing regimen. The use of postdialysis Hb would avoid exposure of patients to inadequately high Hb and Hct levels during the interdialysis period, as well as to excessive ESA doses. This may be especially relevant in the current scenario: the optimal Hb target is not yet established, with serious safety concerns regarding ESA therapy. Since the measurement of postdialysis Hb concentration might be an unfeasible practice in many HD units, we propose an adjusted model to predict this parameter. The prediction of postdialysis Hb with an adjusted model help us to identify those patients at risk for overdosification of ESA, and might be associated with beneficial effects regarding cardiovascular morbidity and mortality. In addition, this strategy may result in lower ESA requeriments, or even may lead to the avoidance of ESA therapy in several patients, with a beneficial impact on the economic cost. From this economical perspective, the estimation of ESA dosage based on postdialysis Hb concentration would represent a mean saving of 18.5%, approximately 1,242 euros ($ 1,774/patient/year).
Research activity by JFNG is supported by “Programa de Intensificación de la Actividad Investigadora” (ISCIII/Comunidad Autónoma de Canarias). We thank to ACINEF for funding publication costs.
- KDOQI Clinical Practice Guideline and Clinical Practice Recommendations for anemia in chronic kidney disease: 2007 update of hemoglobin target. Am J Kidney Dis. 2007, 50: 471-530.
- Locatelli F, Aljama P, Canaud B, Covic A, De Francisco A, Macdougall IC, Wiecek A, Vanholder R, Anaemia Working Group of European Renal Best Practice (ERBP): Target haemoglobin to aim for with erythropoiesis-stimulating agents: a position statement by ERBP following publication of the Trial to Reduce Cardiovascular Events with Aranesp Therapy (TREAT) Study. Nephrol Dial Transplant. 2010, 25: 2846-2850. 10.1093/ndt/gfq336.View ArticlePubMedGoogle Scholar
- U.S Food and Drug Administration. Safety Communication: Modified dosing recommendations to improve the safe use of Erythropoiesis-Stimulating Agents (ESAs) in chronic kidney disease. http://www.fda.gov/Drugs/DrugSafety/ucm259639.htm,
- Singh AK, Szczech L, Tang KL, Barnhart H, Sapp S, Wolfson M: Reddan D for the CHOIR investigators: Correction of anemia with Epoetin alfa in chronic kidney disease. N Engl J Med. 2006, 355: 2085-2098. 10.1056/NEJMoa065485.View ArticlePubMedGoogle Scholar
- Drüeke TB, Locatelli F, Clyne N, Eckardt KU, Macdougall I, Tsakiris D, Burger HU, Scherhag A, for the CREATE investigators: Normalization of haemoglobin level in patients with chronic kidney disease and anemia. N Engl J Med. 2006, 355: 2071-2084. 10.1056/NEJMoa062276.View ArticlePubMedGoogle Scholar
- Pfeffer MA, Burdmann EA, Chen CY, Cooper ME, de Zeeuw D, Eckardt KU, Feyzi JM, Ivanovich P, Kewalramani R, Levey AS, Lewis EF, McGill JB, McMurray JJ, Parfrey P, Parking HH, Remuzzi G, Singh AK, Solomon SD, Toto R SD, TREAT Investigators: A Trial of Darbepoetin Alfa in Type 2 Diabetes and Chronic Kidney Disease. N Engl J Med. 2009, 361: 2019-2032. 10.1056/NEJMoa0907845.View ArticlePubMedGoogle Scholar
- Heinze G, Sainz A, Horl WH, Oberbauer R: Mortality in renal transplant recipients given erythropoietins to increase haemoglobin cocentration: cohort study. BMJ. 2009, 339: b4018-10.1136/bmj.b4018.View ArticlePubMedPubMed CentralGoogle Scholar
- Szczech LA, Barnhart HX, Inrig JK, Reddan DN, Sapp S, Califf RM, Patel UD, Singh AK: Secondary analysis of the CHOIR trial epoetin-alpha dose and achieved hemoglobin outcomes. Kidney Int. 2008, 74: 791-798. 10.1038/ki.2008.295.View ArticlePubMedPubMed CentralGoogle Scholar
- Vlassopoulos D, Sonikian M, Dardioti V, Hadjiconstantinou V: Target Haematocrit during erythropoietin treatment in dialysis patients. Which value is `true-functional haematocrit?. Nephrol Dial Transplant. 1999, 14: 1340-1341. 10.1093/ndt/14.5.1340.View ArticlePubMedGoogle Scholar
- Movilli E, Pertica N, Cancarini G, Brunori G, Scolari F, Maiorca R: Predialysis versus postdialysis hematocrit evaluation during erythropoietin therapy. Am J Kidney Dis. 2002, 39: 850-853. 10.1053/ajkd.2002.32007.View ArticlePubMedGoogle Scholar
- Korzets A, Ori Y, Zevin D, Gafter U: Posthemodialysis haemoglobin levels: overdue or not?. Am J Kidney Dis. 2002, 40: 873-View ArticlePubMedGoogle Scholar
- Bellizzi V, Minutolo R, Terracciano V, Iodice C, Giannattasio P, De Nicola L, Conte G, Di Lorio BR: Influence of the cyclic variation of hydration status on hemoglobin levels in hemodialysis patients. Am J Kidney Dis. 2002, 40: 549-555. 10.1053/ajkd.2002.34913.View ArticlePubMedGoogle Scholar
- Charlson ME, Pompei P, Ales KL, MacKenzie CR: A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J Chronic Dis. 1987, 40: 373-383. 10.1016/0021-9681(87)90171-8.View ArticlePubMedGoogle Scholar
- Beddhu S, Bruns FJ, Saul M, Seddon P, Zeidel ML: A simple comorbidity scale predicts clinical outcomes and costs in dialysis patients. Am J Med. 2000, 108: 609-613. 10.1016/S0002-9343(00)00371-5.View ArticlePubMedGoogle Scholar
- Regidor D, McClellan WM, Kewalramani R, Sharma A, Bradbury BD: Changes in erythropoiesis-stimulant agent (ESA) dosing and haemoglobin levels in US non-dialysis chronic kidney disease patients between 2005 and 2009. Nephrol Dial Transplant. 2011, 26: 1583-1591. 10.1093/ndt/gfq573.View ArticlePubMedGoogle Scholar
- Besarab A, Bolton WK, Browne JK, Egrie JC, Nissenson AR, Okamoto DM, Schwab SJ, Goodkin DA: The effects of normal as compared with low hematocrit values in patients with cardiac disease who are receiving hemodialysis and epoetin. N Engl J Med. 1998, 339: 584-590. 10.1056/NEJM199808273390903.View ArticlePubMedGoogle Scholar
- Zhang Y, Thamer M, Stefanik K, Kaufman J, Cotter DJ: Epoetin requirements predict mortality in hemodialysis patients. Am J Kidney Dis. 2004, 44: 866-876.View ArticlePubMedGoogle Scholar
- Bradbury BD, Wang O, Critchlow CW, Rothman KJ, Heagerty P, Keen M, Acquavella JF: Exploring relative mortality and epoetin alpha dose among hemodialysis patients. Am J Kidney Dis. 2008, 51: 62-70. 10.1053/j.ajkd.2007.09.015.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2369/13/60/prepub