Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Intravenous Iron Supplementation Practices and Short-Term Risk of Cardiovascular Events in Hemodialysis Patients

  • Abhijit V. Kshirsagar ,

    sagar@med.unc.edu

    Affiliation University of North Carolina Kidney Center, UNC School of Medicine, Chapel Hill, North Carolina, United States of America

  • Janet K. Freburger,

    Affiliation Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, North Carolina, United States of America

  • Alan R. Ellis,

    Affiliation Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, North Carolina, United States of America

  • Lily Wang,

    Affiliation Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, North Carolina, United States of America

  • Wolfgang C. Winkelmayer,

    Affiliation Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, United States of America

  • M. Alan Brookhart

    Affiliations Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, North Carolina, United States of America, Department of Epidemiology, UNC Gillings School of Global Public Health, UNC, Chapel Hill, Chapel Hill, North Carolina, United States of America

Abstract

Background & Objectives

Intravenous iron supplementation is widespread in the hemodialysis population, but there is uncertainty about the safest dosing strategy. We compared the safety of different intravenous iron dosing practices on the risk of adverse cardiovascular outcomes in a large population of hemodialysis patients.

Design settings, participants, & measurements

A retrospective cohort was created from the clinical database of a large dialysis provider (years 2004-2008) merged with administrative data from the United States Renal Data System. Dosing comparisons were (1) bolus (consecutive doses ≥ 100 mg exceeding 600 mg during one month) versus maintenance (all other iron doses during the month); and (2) high (> 200 mg over 1 month) versus low dose (≤ 200 mg over 1 month). We established a 6-month baseline period (to identify potential confounders and effect modifiers), a one-month iron exposure period, and a three-month follow-up period. Outcomes were myocardial infarction, stroke, and death from cardiovascular disease.

Results

117,050 patients contributed 776,203 unique iron exposure/follow-up periods. After adjustment, we found no significant associations of bolus dose versus maintenance, hazards ratio for composite outcome, 1.03 (95% C.I. 0.99, 1.07), or high dose versus low dose intravenous iron, hazards ratio for composite outcome, 0.99 (95% C.I. 0.96, 1.03). There were no consistent associations of either high or bolus dose versus low or maintenance respectively among pre-specified subgroups.

Conclusions

Strategies favoring large doses of intravenous iron were not associated with increased short-term cardiovascular morbidity and mortality. Investigation of the long-term safety of the various intravenous iron supplementation strategies may still be warranted.

Introduction

Erythropoiesis stimulating agents (ESAs) and intravenous (IV) iron have been used in combination to manage anemia in the dialysis population for many years. Clinical trials providing new safety information about ESAs [1-3] and the implementation of capitated payments for dialysis services [4] have led to a relative shift away from ESA use. The use of IV iron for the management of anemia during the same period has grown [5].

Yet, little is known about the safety of IV iron. In contemporary practice, intravenous iron administration varies among clinicians and dialysis units [6,7]. Some providers administer large sequential doses of approximately 1 gram per month and others, aliquots of 50-100 mg spaced over weeks. Any single patient may be exposed to either of these dosing strategies during his or her time receiving hemodialysis.

While the optimal dosing regimen for IV iron remains unknown, biological mechanisms suggest that the sub-optimal use of iron could lead to adverse clinical events [8]. Free iron is a potent oxidizing agent that can catalyze the formation of highly reactive oxygen species [9,10]. These highly reactive oxygen species could give rise to lipid radicals, which may lead to endothelial dysfunction [11] and atherogenesis [12], possibly increasing the risk of cardiovascular events in a population already known to have a high burden of cardiovascular disease [13].

We therefore conducted a large-scale retrospective observational study using data from a large national dialysis provider linked with the United States Renal Data System (USRDS). Our goal was to examine the comparative short-term cardiovascular safety of common dosing strategies of IV iron in a cohort of contemporary patients receiving hemodialysis, and among pre-specified subgroups of patients.

Materials and Methods

Data Sources

The data used for this study came from the clinical research database of a large dialysis provider and the USRDS. The dialysis provider owns and manages over 1,500 outpatient dialysis facilities located throughout the United States in urban, rural, and suburban areas. Their clinical database captures detailed clinical, laboratory, and treatment data on patients receiving care at all of their dialysis units. All data are collected using standardized electronic health record systems. For this study, we used the clinical data to obtain detailed information on IV iron dosing, epoetin alfa (EPO) use and dosing, clinical laboratory values (e.g., hemoglobin, transferrin saturation (TSAT), serum ferritin), and current vascular access. The USRDS is a national data system funded by the National Institutes of Diabetes and Digestive and Kidney Diseases that collects, analyzes, and distributes information about the treatment of end stage renal disease (ESRD). The USRDS data includes data from the Medical Evidence Report Form, the Medicare Enrollment database, the ESRD Death Notification Form, and the standard analytic files, which contain final action claims data [14].

We examined 5 years of data (2004 - 2008) from the clinical database to identify the cohort. These data were merged with data from the USRDS to obtain information on demographic characteristics, health care use (e.g., hospitalizations, outpatient care), and additional clinical characteristics (e.g., comorbidities).

Study Design

We utilized a retrospective cohort design in which we established a 6-month baseline period (to identify potential confounders and effect modifiers), a one-month iron exposure period, and a three-month follow-up period (see Figure 1). The index date of the exposure period was anchored on the day of a laboratory assessment of TSAT, because this information is used to guide subsequent iron administration.

Cohort Identification

Figure 2 depicts the creation of our sample. Following the merge of the clinical and USRDS data, we first identified center-based, hemodialysis patients who had at least one TSAT measurement after undergoing dialysis for at least 9 months. The 9-month period accounted for the 6-month baseline period and an additional 3 months from the start of dialysis to allow for stability in the claims processing by the Centers for Medicare and Medicaid Services (CMS) [14]. Individuals with polycystic kidney disease were then excluded because of the low use of ESA’s or IV iron. Eligible patients could contribute more than one TSAT measurement. TSAT measurements were eligible if they occurred between January 30, 2004 (to allow assessment of lab values and medications in the last month of baseline) and November 30, 2008 (to allow for the 1-month exposure period and at least one day of follow-up).

Measurements of TSAT were excluded if 1) iron dextran or both ferric gluconate and iron sucrose were administered during the exposure period; 2) fewer than 120 days of the 180-day baseline period were covered by Part A claims (which include dialysis claims), suggesting incomplete data; and 3) there were fewer than 9 dialysis sessions in the last month of baseline or the exposure period. We also excluded TSAT records with missing covariate information and TSAT measurements that occurred in the follow-up period of a prior eligible TSAT. The exposure assessment period began the day after the qualifying TSAT measurement.

Study Variables

Outcomes.

We examined four cardiovascular outcomes: death attributed to cardiovascular disease, hospitalization for myocardial infarction (MI), hospitalization for stroke, and a combined/composite outcome of any one of these three. These outcomes were determined by examining the CMS inpatient and outpatient claims and death notification data. The specific definitions for each outcome are presented in Table S1 in File S1.

Exposures.

The primary exposures of interest were: (1) high dose versus low dose iron administration and (2) bolus versus maintenance dosing. Based on the distribution of IV iron dosing, we defined high dose as > 200 mg of IV iron in the one month exposure period. Low dose was defined as 1-200 mg of IV iron. We also created a no iron category for individuals who did not receive any IV iron during the 1-month exposure period. For the 2-week and 1-week exposure periods, high doses were greater than 125 mg and 75 mg, respectively.

A month was classified as a bolus month if it contained administrations of iron on consecutive dialysis sessions of at least 100 mg.  We also classified a month as a bolus month if it contained two or more administrations of iron > 100 mg that had the potential to exceed 600mg within 30 days based on spacing between the doses in the sequence.  For example, two consecutive iron doses of 200 mg each, within 10 days, would qualify as a bolus dose according to our definition. Months that had no bolus dosing patterns were classified as “maintenance months”. We also included a no iron category.

Confounders.

We included several covariates in our cohort analyses. Descriptions of the covariates and the manner in which they were defined in our models are presented in Table S2 in File S1. Covariates included demographic characteristics (e.g., age, sex, race, Medicaid eligibility, census region, year), clinical characteristics (e.g., cause of ESRD, vintage, body mass index (BMI), type of vascular access, number of hospital days), laboratory and anemia management variables (e.g. baseline hemoglobin, ferritin, TSAT, iron dose, EPO dose, albumin, receipt of a blood transfusion, EPO dose during exposure period), and several comorbidity measures based on the Elixhauser classification [15], and content expertise of the investigative team. Due to the extensive list of comorbidities, we selected ones to include in a parsimonious model and ones to add during sensitivity analyses.

Statistical Analysis

To assess the relation between iron dosing practices and adverse outcomes, we used Cox proportional hazards regression analyses to estimate hazard ratios (HR) and a semiparametric additive risks model to estimate risk differences (RD), all accompanied by their respective 95% confidence intervals (CI) [16]. Individuals were censored at death (for the hospitalization outcomes), loss to follow-up, receipt of a kidney transplant, or administratively at the end of available data. We first estimated an unadjusted HR (e.g. high versus low dose) for each outcome and then a multivariable-adjusted HR that included age, sex, race, BMI, EPO dose during baseline and the exposure period, baseline hemoglobin, baseline ferritin, index TSAT, current use of a catheter vascular access, years on dialysis, serum albumin, number of days in hospital, any infection in last month, and history of the following in the last six months: diabetes, stroke, MI, pneumonia, vascular access infection, sepsis, chronic obstructive pulmonary disease, cancer, and gastrointestinal bleeding.

We also conducted these analyses within several subgroups that were defined a priori based on demographic and clinical characteristics as defined in Table S3 in File S1. Individuals were categorized based on race, vintage, catheter use, history of infection in last month of baseline, TSAT levels at baseline, Ferritin levels at baseline, TSAT*Ferritin combinations (e.g., low TSAT and high ferritin) at baseline, albumin levels at baseline, and hemoglobin levels at baseline.

Sensitivity Analyses.

To assess the robustness of the results dependent on shorter exposure and/or follow-up periods, we repeated the analyses on other cohorts: i.e., two week exposure, six week follow-up; one week exposure, six week follow-up; one month exposure, six week follow-up. To assess the addition of other potentially relevant covariates, we conducted a sensitivity analysis where we added additional covariates: reported cause of ESRD, year, region, Medicaid eligibility, and a number of additional comorbidities (Table S2 in File S1).

The UNC Institutional Review Board approved this study. The Institutional Review Board did not deem it necessary to obtain written consent for the use of de-identified patient information from the dialysis registry.

Results

A total of 117,050 patients met the study entry requirements and contributed 776,203 unique iron exposure/follow-up periods for comparisons of outcomes among dosing strategies, Figure 2. The patient characteristics of the primary cohort stratified by dosing pattern are presented in Table 1. The greatest number of exposure periods corresponded to our definition of maintenance iron dosing, followed by no iron (non-users), low dose, high dose, and bolus. The groups had generally similar demographic and medical characteristics with some notable exceptions. For example, the prevalence of dialysis catheters was higher in the bolus and high dose iron groups than in the maintenance or low dose groups. Mean hospital days in the past month were also higher for the bolus and high dose iron groups. The prevalence of comorbid conditions, both cardiovascular and other, was also higher in the bolus and high dose IV iron groups than in the other groups.

CharacteristicHigh (24.0%)Low (37.8%)Bolus (12.6%)Maintenance (49.2%)Non-user (38.2%)
Mean (SD) Age, y60.8 (15.0)61.5 (15.0)60.6 (15.1)61.4 (14.9)61.4 (14.9)
Female (%)45.445.446.145.346.3
Race (%)
White49.249.147.549.647.9
Black45.844.547.844.345.0
Medicaid (%)50.951.051.950.751.6
Region (%)
Midwest18.016.817.417.216.2
Northeast12.312.711.912.712.3
South51.947.155.347.350.4
West17.222.914.922.220.7
ESRD Reason (%)
Diabetes46.444.745.845.343.3
Glomerulonephritis12.012.612.012.513.1
Hypertension30.431.130.830.931.3
Mean (SD) Vintage, y4.0 (4.1)4.3 (4.4)4.0 (4.1)4.3 (4.3)4.8 (4.6)
Mean (SD) BMI 27.4 (7.1)27.3 (6.8)27.1 (7.0)27.4 (6.9)26.6 (6.6)
Catheter (%)23.821.825.521.820.4
Blood transfusion (%)8.54.910.35.36.2
Hospital Days*, mean (sd)0.8 (2.1)0.5 (1.7)1.0 (2.3)0.5 (1.7)0.5 (1.8)
Vascular access 13.49.715.010.18.9
Diabetes56.652.157.153.050.9
Ischemic stroke 12.110.013.110.210.3
Myocardial infarction4.22.94.63.13.1
COPD, Asthma 20.816.522.217.216.0
Cancer 9.28.19.88.28.4
Gasterointestinal bleeding6.43.97.74.23.9
Labs and Medications, mean (sd)
Index TSAT, %24.7 (10.5)30.4 (11.4)22.4 (10.6)29.7 (11.1)35.0 (15.9)
Ferritin, mcg/L489 (314)536 (309)481 (358)527 (298)766 (514)
Hemoglobin, g/dL12.1 (1.4)12.3 (1.2)11.9 (1.5)12.3 (1.2)12.2 (1.3)
Albumin, g/dL3.8 (0.4)3.9 (0.4)3.8 (0.4)3.9 (0.4)3.9 (0.4)
Baseline EPO, 1,000 units/mo.112 (103)78 (82)127 (110)82 (84)70 (81)
Concurrent EPO, 1,000 units/mo.107 (103)76 (81)123 (110)79 (84)74 (84)
Iron during baseline period, mg331 (312)189 (205)354 (397)216 (204)89.0 (225.6)
Iron during exposure period, mg538 (316)135 (54)689 (371)190 (114)0.0 (0.0)

Table 1. Patient Characteristics at Baseline, by Exposure Group (N = 776,203).

ESRD= end stage renal disease, COPD= chronic obstructive pulmonary disease. * Hospital Days in previous month.
For the Bolus versus Maintenance groups, all variables were different at a significance level of p < 0.001, except for ESRD Reason (p=0.02).For High versus Low dose groups, all variables were different at a significance level of p< 0.00, except for frequency of female (p=0.97), and frequency of Medicaid (p=0.84).
CSV
Download CSV

Tables 2 shows the results for the high versus low dose comparison with respect to the cardiovascular outcomes. Compared to low dose, high dose IV iron was associated with an increased risk of cardiovascular events, including acute myocardial infarct and stroke, and cardiovascular death in unadjusted models. However, after adjustment for several covariates, there was no significant association, assessed either by HR, or RD.

Comparison of bolus and maintenance dosing revealed similar associations to the high and low dose comparison. The unadjusted HR demonstrated an increased risk of all measured cardiovascular outcomes with bolus dosing, Table 3. With adjustment, however, the HR and RD were strongly attenuated towards the null.

Parameter Estimate (95% CI)Myocardial Infarction (n=6,078) Stroke (n=8,618)Cardiovascular Death (n=12,584)Myocardial Infarction, Stroke, or Cardiovascular Death (n=25,350)
Unadjusted Hazard Ratio1.14 (1.06,1.23)1.27 (1.19,1.35)1.37 (1.30,1.44)1.30 (1.25,1.34)
Adjusted* Hazard Ratio0.98 (0.90,1.06)1.05 (0.98,1.12)1.02 (0.96,1.07)1.03 (0.99,1.07)
Adjusted* Risk Difference (events per 1,000 person yrs.)-0.82 (-3.9, 2.2)2.5 (-1.6, 6.2) 0.90 (-3.2, 4.7) 3.7 (-2.4, 9.9)

Table 3. Hazard Ratios and Risk Differences Comparing Bolus versus Maintenance Dosing (n=number of events).

* Adjusted analyses controlled for the following variables at baseline: age; race; sex; vintage; number of hospital days in last month; history of infection in last month; body mass index; most recent vascular access, hemoglobin; ferritin; index transferrin saturation; iron dose; albumin level; epoetin alfa dose; history in last 6 months of pneumonia, sepsis, vascular access infection, diabetes, stroke, myocardial infarction, chronic obstructive lung disease, cancer, gastrointestinal bleeding; and epoetin alfa dose during exposure. N=776,203
CSV
Download CSV

Results of the subgroup analyses are presented in Tables S4 and S5 in File S1 for the high versus low dose and bolus versus maintenance dosing comparisons, respectively. There were no consistent trends seen, though in the bolus versus maintenance comparison, individuals with high ferritin (500-800 mcg/L) and low TSAT (<25%) that were administered a bolus dose of iron had increased risks of cardiovascular death, and the composite outcome of death, myocardial infarction, or stroke.

Sensitivity analyses using additional covariates, and with differing exposure and follow up periods, did not change the point estimates of the fully adjusted models as seen in either Table 2 or 3. These data are not shown. Furthermore, we observed no increase in risk of the outcomes under study among recipients of maintenance iron dosing compared to non-users of IV iron.

Parameter Estimate (95% CI)Myocardial Infarction (n=6,078) Stroke (n=8,618)Cardiovascular Death (n=12,584)Myocardial Infarction, Stroke, or Cardiovascular Death (n=25,350)
Unadjusted Hazard Ratio1.08 (1.01,1.15)1.18 (1.12,1.25)1.27 (1.22,1.33)1.20 (1.16,1.24)
Adjusted* Hazard Ratio0.94 (0.88,1.01)1.01 (0.95,1.08)1.01 (0.96,1.06)0.99 (0.96,1.03)
Adjusted* Risk Difference (events per 1,000 person yrs.)-2.4 (-4.8, 0.02)0.42 (-2.7, 4.0)0.05 (-3.4, 3.5)-1.6 (-7.1, 3.9)

Table 2. Hazard Ratios and Risk Differences Comparing High Dose versus Low Dose (n=number of events).

* Adjusted analyses controlled for the following variables at baseline: age; race; sex; vintage; number of hospital days in last month; history of infection in last month; body mass index; most recent vascular access, hemoglobin; ferritin; index transferrin saturation; iron dose; albumin level; epoetin alfa dose; history in last 6 months of pneumonia, sepsis, vascular access infection, diabetes, stroke, myocardial infarction, chronic obstructive pulmonary disease, cancer, gastrointestinal bleeding; and epoetin alfa dose during exposure. N=776,203
CSV
Download CSV

Discussion

In this cohort study of a representative group of adult hemodialysis patients, we have examined the comparative safety of several IV iron supplementation strategies on short-term cardiovascular morbidity and mortality. To our knowledge, this is the largest and certainly most contemporary study to directly examine the comparative cardiovascular safety of common IV iron dosing strategies, which are used throughout many parts of the world, including the United States, Europe, and Japan [17,18]. Our data show that larger doses of intravenous iron are not associated with cardiovascular morbidity or mortality compared to relatively smaller doses. Furthermore, among the various pre-specified subgroups of patients, there were no consistent differences in cardiovascular events or mortality between patients receiving the various dosing strategies.

There has been longstanding concern about the potential adverse cardiovascular effects of intravenous iron. Ferric iron (Fe3+) is reduced to ferrous iron (Fe2+) by leukocyte generated superoxide dismutase [19]. Ferrous iron leads to the generation of the reactive oxygen species, hydroxyl radical, known to damage membrane lipids, oxidize low-density lipoprotein, and promote atherogenesis [20]. It is believed that most intravenous iron formulations, including ferric gluconate and iron sucrose, release bioactive iron [8], especially if given rapidly enough to oversaturate receptors [21]. Indeed, studies with relatively small numbers of patients have suggested that intravenous iron use is associated with an important clinical pre-cursor of systemic atherosclerosis [22,23]; both studies, of 60 patients each, demonstrated a significant association of total intravenous iron exposure with carotid intimal media thickness.

Larger epidemiological studies however have not been able to translate the association of intravenous iron exposure with pre-clinical disease into more robust clinical outcomes. For example, Feldman and colleagues examined the effect of IV iron administration and mortality in a cohort of over 32,000 dialysis patients, and found no association of cumulative dose of IV iron with mortality [24]. A second study of over 58,000 patients by Kalantar-Zadeh and colleagues also did not find an association of iron dose with mortality, either all cause or cardiovascular mortality [25]. Rather, the administration of up to 400 mg was associated with improved survival overall, and among many relevant subgroups. At doses greater than 400 mg, there was a trend towards increased mortality. Our results complement and extend these previous studies. Like them, we did not find a consistent or meaningful association of IV iron with cardiovascular morbidity or mortality. The richness of the current data allowed us to examine clinically applicable dosing patterns, rather than merely cumulative doses. Furthermore, we were able to study specific outcomes related to cardiovascular morbidity, including hospitalization for stroke and myocardial infarction rather than just all-cause mortality. Finally, a particular strength of our study (and in contrast to previous studies), we had both patient-level electronic health records information from the dialysis provider and claims data from the public payer providing comprehensive and uniform insurance to these patients.

The study should be interpreted in the context of the following limitations. First, since we focused on events during a 3-month period, examination of long-term effects of IV iron on cardiovascular events are not possible in this study. Yet, the focus on short-term safety minimizes common sources of bias in non-experimental studies with longitudinal exposures, including time-varying confounding, selection bias, and immortal person-time bias. This design improves the validity of the exposure being related to the outcome. Future analyses, perhaps using a marginal structural model [26], may be better suited to determine the long-term safety of IV iron.

Second, the study was non-experimental in design, and, therefore, could have been confounded by unobserved differences between patient groups. There was an increased prevalence of observed comorbidities among patients receiving either high or bolus dosing of iron. This would theoretically bias the association away from the null hypothesis and towards an observed association with the higher doses of IV iron. The rich clinical and administrative data found in the study allowed for adjustment for important clinical and laboratory variables, and in fact, there was no observed association of cardiovascular morbidity and mortality.

The lack of an adverse cardiovascular safety signal should not be interpreted as an unmitigated endorsement for the use of large doses of IV iron. In an era of capitated payments for dialysis services, black box warnings for ESA use, and dynamic Quality Incentive Program performance measures [4,27,28] there may be strong incentives for the use of large doses of iron to manage anemia. Yet, another broad category of adverse events, infectious complications from the administration of intravenous iron, remains an unresolved issue that requires additional investigation [29-32]. Furthermore, a study on the effectiveness of larger doses of IV iron suggested only a marginal benefit on anemia parameters such as hemoglobin and EPO dose, compared to smaller doses of iron [33]. Thus, until additional evidence is available, the prudent choice may be moderation in the use of IV iron for the management of anemia in hemodialysis patients [34,35].

In summary, large doses of IV iron supplementation were not associated with short-term cardiovascular morbidity or mortality in a contemporary cohort of hemodialysis patients. However, additional safety concerns of IV iron administration, including potential infectious complications and long-term cardiovascular safety warrant further scrutiny. Ultimately, a controlled clinical trial comparing intravenous iron dosing strategies may be necessary to determine an approach that optimizes benefit and minimizes risk to patients.

Supporting Information

File S1.

Supporting information.

Table S1, Study Outcomes Definitions and Data Source. Table S2, Definition of Covariates. Table S3, Definition of Subgroups. Table S4, Adjusted* Hazard Ratios (HR) and Risk Differences** (RD) for Other Adverse Outcomes, High Dose Versus Low Dose. Table S5, Adjusted* Hazard Ratios (HR) and Risk Differences** (RD) for Other Adverse Outcomes, Bolus versus Maintenance Dosing.

https://doi.org/10.1371/journal.pone.0078930.s001

(DOCX)

Acknowledgments

The authors thank DaVita Clinical Research for providing data for this study. DaVita Clinical Research had no role in the design or implementation of this study, nor on the decision to publish.

Author Contributions

Conceived and designed the experiments: AVK WCW MAB. Performed the experiments: JKF LW ARE. Analyzed the data: JKF LW ARE MAB. Wrote the manuscript: AVK JKF ARE LW WCW MAB.

References

  1. 1. Drüeke TB, Locatelli F, Clyne N, Eckardt KU, Macdougall IC et al. (2006) Normalization of hemoglobin level in patients with chronic kidney disease and anemia. N Engl J Med 355: 2071-2084. doi:https://doi.org/10.1056/NEJMoa062276. PubMed: 17108342.
  2. 2. Singh AK, Szczech L, Tang KL, Barnhart H, Sapp S et al. (2006) Correction of anemia with epoetin alfa in chronic kidney disease. N Engl J Med 355: 2085-2098. doi:https://doi.org/10.1056/NEJMoa065485. PubMed: 17108343.
  3. 3. Pfeffer MA, Burdmann EA, Chen CY, Cooper ME, de Zeeuw D et al. (2009) A trial of darbepoetin alfa in type 2 diabetes and chronic kidney disease. N Engl J Med 361: 2019-2032. doi:https://doi.org/10.1056/NEJMoa0907845. PubMed: 19880844.
  4. 4. Centers for Medicare & Medicaid Services (2011) Medicare Program; End-Stage Renal Disease Prospective Payment System and Quality Incentive Program; Ambulance Fee Schedule; Durable Medical Equipment; and Competitive Acquisition of Certain Durable Medical Equipment, Prosthetics, Orthotics and Supplies; Final Rule. Fed Regist 76: 218. Available: http://www.gpo.gov/fdsys/pkg/FR-2011-11-10/pdf/2011-28606.pdf. Accessed 3 March 2013.
  5. 5. Freburger JK, Ng LJ, Bradbury BD, Kshirsagar AV, Brookhart MA (2012) Changing patterns of anemia management in US hemodialysis patients. Am J Med 125: 906-914 e909 doi:https://doi.org/10.1016/j.amjmed.2012.03.011. PubMed: 22938926.
  6. 6. Thakuria M, Ofsthun NJ, Mullon C, Diaz-Buxo JA (2011) Anemia management in patients receiving chronic hemodialysis. Semin Dial 24: 597-602. doi:https://doi.org/10.1111/j.1525-139X.2011.00975.x. PubMed: 21999745.
  7. 7. Yong K, Kairaitis L (2010) Effects of proactive iron and erythropoiesis-stimulating agent protocol implementation on achieving clinical guideline targets for anaemia in a satellite haemodialysis patient cohort. Nephrology (Carlton) 15: 288-293. doi:https://doi.org/10.1111/j.1440-1797.2009.01184.x.
  8. 8. Brewster UC (2006) Intravenous iron therapy in end-stage renal disease. Semin Dial 19: 285-290. doi:https://doi.org/10.1111/j.1525-139X.2006.00174.x. PubMed: 16893405.
  9. 9. Halliwell B, Gutteridge JM (1984) Oxygen toxicity, oxygen radicals, transition metals and disease. Biochem J 219: 1-14. PubMed: 6326753.
  10. 10. Martin-Malo A, Merino A, Carracedo J, Alvarez-Lara MA, Ojeda R et al. (2011) Effects of intravenous iron on mononuclear cells during the haemodialysis session. Nephrol Dial Transplant, 27: 2465–71. PubMed: 22207322.
  11. 11. Sevanian A, Hochstein P (1985) Mechanisms and consequences of lipid peroxidation in biological systems. Annu Rev Nutr 5: 365-390. doi:https://doi.org/10.1146/annurev.nu.05.070185.002053. PubMed: 2992549.
  12. 12. Berliner JA, Heinecke JW (1996) The role of oxidized lipoproteins in atherogenesis. Free Radic Biol Med 20: 707-727. doi:https://doi.org/10.1016/0891-5849(95)02173-6. PubMed: 8721615.
  13. 13. de Jager DJ, Grootendorst DC, Jager KJ, van Dijk PC, Tomas LM et al. (2009) Cardiovascular and noncardiovascular mortality among patients starting dialysis. JAMA 302: 1782-1789. doi:https://doi.org/10.1001/jama.2009.1488. PubMed: 19861670.
  14. 14. (2011) Researcher's Guide to the USRDS Database: 2010 ADR Edition. Bethesda, MD: National Institutes of Health, NIDDK.
  15. 15. Elixhauser A, Steiner C, Harris DR, Coffey RM (1998) Comorbidity measures for use with administrative data. Med Care 36: 8-27. doi:https://doi.org/10.1097/00005650-199801000-00004. PubMed: 9431328.
  16. 16. Lin DY, Ying Z (1994) Semiparametric analysis of the additive risk model. Biometrika 81: 61-71. doi:https://doi.org/10.1093/biomet/81.1.61.
  17. 17. Akizawa T, Pisoni RL, Akiba T, Saito A, Fukuhara S et al. (2008) Japanese haemodialysis anaemia management practices and outcomes (1999-2006): results from the DOPPS. Nephrol Dial Transplant 23: 3643-3653. doi:https://doi.org/10.1093/ndt/gfn346. PubMed: 18577535.
  18. 18. Pisoni RL, Bragg-Gresham JL, Young EW, Akizawa T, Asano Y et al. (2004) Anemia management and outcomes from 12 countries in the Dialysis Outcomes and Practice Patterns Study (DOPPS). Am J Kidney Dis 44: 94-111. doi:https://doi.org/10.1053/j.ajkd.2004.03.023. PubMed: 15211443.
  19. 19. Biemond P, Swaak AJ, van Eijk HG, Koster JF (1988) Superoxide dependent iron release from ferritin in inflammatory diseases. Free Radic Biol Med 4: 185-198. doi:https://doi.org/10.1016/0891-5849(88)90026-3. PubMed: 2833431.
  20. 20. Himmelfarb J, Stenvinkel P, Ikizler TA, Hakim RM (2002) The elephant in uremia: oxidant stress as a unifying concept of cardiovascular disease in uremia. Kidney Int 62: 1524-1538. doi:https://doi.org/10.1046/j.1523-1755.2002.00600.x. PubMed: 12371953.
  21. 21. Zanen AL, Adriaansen HJ, van Bommel EF, Posthuma R, de Jong Th GM (1996) 'Oversaturation' of transferrin after intravenous ferric gluconate (Ferrlecit(R)) in haemodialysis patients. Nephrol Dial Transplant 11: 820-824. doi:https://doi.org/10.1093/oxfordjournals.ndt.a027405. PubMed: 8671901.
  22. 22. Drüeke T, Witko-Sarsat V, Massy Z, Descamps-Latscha B, Guerin AP et al. (2002) Iron therapy, advanced oxidation protein products, and carotid artery intima-media thickness in end-stage renal disease. Circulation 106: 2212-2217. doi:https://doi.org/10.1161/01.CIR.0000035250.66458.67. PubMed: 12390950.
  23. 23. Reis KA, Guz G, Ozdemir H, Erten Y, Atalay V et al. (2005) Intravenous iron therapy as a possible risk factor for atherosclerosis in end-stage renal disease. Int Heart J 46: 255-264. doi:https://doi.org/10.1536/ihj.46.255. PubMed: 15876809.
  24. 24. Feldman HI, Joffe M, Robinson B, Knauss J, Cizman B et al. (2004) Administration of parenteral iron and mortality among hemodialysis patients. J Am Soc Nephrol 15: 1623-1632. doi:https://doi.org/10.1097/01.ASN.0000128009.69594.BE. PubMed: 15153574.
  25. 25. Kalantar-Zadeh K, Regidor DL, McAllister CJ, Michael B, Warnock DG (2005) Time-dependent associations between iron and mortality in hemodialysis patients. J Am Soc Nephrol 16: 3070-3080. doi:https://doi.org/10.1681/ASN.2005040423. PubMed: 16033854.
  26. 26. Robins JM, Hernán MA, Brumback B (2000) Marginal structural models and causal inference in epidemiology. Epidemiology 11: 550-560. doi:https://doi.org/10.1097/00001648-200009000-00011. PubMed: 10955408.
  27. 27. Center for Medicare & Medicaid Services (2012) Medicare Program; End-Stage Renal Disease Prospective Payment System, Quality Incentive Program, and Bad Debt Reductions for All Medicare Providers; Proposed Rule 28. Fed Regist 77: 133. Available: . http://www.gpo.gov/fdsys/pkg/FR-2012-07-11/pdf/2012-16566.pdf. Accessed 4 March 2013.
  28. 28. FDA (2011) Drug Safety Communication: Modified dosing recommendations to improve the safe use of Erythropoiesis-Stimulating Agents (ESAs) in chronic kidney disease. Retrieved onpublished at whilst December year 1111 from http://www.fda.gov/drugs/drugsafety/ucm259639. Accessed 4 March 2013.
  29. 29. Hoen B, Paul-Dauphin A, Hestin D, Kessler M (1998) EPIBACDIAL: a multicenter prospective study of risk factors for bacteremia in chronic hemodialysis patients. J Am Soc Nephrol 9: 869-876. PubMed: 9596085.
  30. 30. Parkkinen J, von Bonsdorff L, Peltonen S, Grönhagen-Riska C, Rosenlöf K (2000) Catalytically active iron and bacterial growth in serum of haemodialysis patients after i.v. iron-saccharate administration. Nephrol Dial Transplant 15: 1827-1834. doi:https://doi.org/10.1093/ndt/15.11.1827. PubMed: 11071973.
  31. 31. Fishbane S (1999) Review of issues relating to iron and infection. Am J Kidney Dis 34: S47-S52. doi:https://doi.org/10.1053/ajkd.1999.v34.aajkd0344b0047. PubMed: 10516376.
  32. 32. Singh N, Agarwal AK (2012) Pumping iron: revisiting risks, benefits and strategies in treatment of iron deficiency in end-stage renal disease. Clin Nephrol 77: 188-194. doi:https://doi.org/10.5414/CN107266. PubMed: 22377249.
  33. 33. Kshirsagar AV, Freburger JK, Ellis AR, Wang L, Winkelmayer WC et al. (2013) The Comparative Short-term Effectiveness of Iron Dosing and Formulations in US Hemodialysis Patients. In press: Am J Med.. PubMed: 23597800.
  34. 34. Spiegel DM, Chertow GM (2009) Lost without directions: lessons from the anemia debate and the drive study. Clin J Am Soc Nephrol 4: 1009-1010. doi:https://doi.org/10.2215/CJN.00270109. PubMed: 19357246.
  35. 35. Vaziri ND (2012) Epidemic of iron overload in dialysis population caused by intravenous iron products: a plea for moderation. Am J Med 125: 951-952. doi:https://doi.org/10.1016/j.amjmed.2012.02.009. PubMed: 22795817.