Hypoxia-inducible factor prolyl hydroxylase domain inhibitor may maintain hemoglobin synthesis at lower serum ferritin and transferrin saturation levels than darbepoetin alfa.

BACKGROUND: Hypoxia-inducible factor (HIF) prolyl hydroxylase domain inhibitors, which have recently become clinically available for treating renal anemia, are attracting attention for their novel mechanisms of action. METHODS: Relationships of reticulocyte hemoglobin content (CHr), which reflects recent Hb synthesis, with serum ferritin (s-ft) and transferrin saturation (TSAT) were examined in 30 patients on hemodialysis after switching from darbepoetin alfa (DA) to roxadustat (Rox). Iron deficiency was defined as CHr < 32.0 pg. Cutoff values of s-ft and TSAT were determined using receiver operating characteristic curves for the endpoint CHr ≥ 32.0 pg. Logistic analysis was performed with the reference group having s-ft or TSAT below the corresponding cutoff value (low vs high). RESULTS: With the endpoint CHr ≥ 32.0 pg on Day 0, cutoff values for s-ft and TSAT were respectively 49.7 ng/mL and 21.6% on Day 0 and 35.5 ng/mL and 16.2% on Day 28. With the endpoint CHr ≥ 32.0 pg on Day 28, cutoff values for s-ft and TSAT on Day 0 were 81.6 ng/mL and 23.9%, respectively. According to multivariable logistic analysis, the odds ratios of CHr ≥ 32.0 pg on Day 0 were significantly higher for high TSAT on Day 0 [34.7 (95% CI 2.42-131.0), p<0.003] and Day 28 [24.8 (95% CI 2.75-224.0), p = 0.004]. There were no significant differences by s-ft. Odd ratios of CHr ≥ 32.0 pg on Day 28 were also significantly higher for high s-ft on Day 0 [16.0 (95% CI 1.57-163.0), p = 0.019] and high TSAT on Day 0 [13.5 (95% CI 1.24-147.0), p<0.033]. CONCLUSIONS: Our results suggest Hb synthesis was maintained with lower TSAT and s-ft during Rox therapy compared with DA therapy. To avoid iron deficiency during the 4 weeks after switching DA to Rox, ideal s-ft and TSAT levels before the switch are 81.6 ng/mL and 23.9%, respectively.

Detection of erythropoiesis-stimulating agents in a single dried blood spot.

The use of dried blood spots (DBS) for anti-doping purposes would facilitate an increase in the number of blood samples because it eliminates the need for specialized personnel and involves minimal invasiveness, reduced costs, stability, and easy transportation and storage. Here, the electrophoretic methodology established by the World Anti-Doping Agency (WADA) to detect erythropoiesis-stimulating agents (ESAs) has been adapted to evaluate their applicability to DBS. A qualitative procedure to detect recombinant erythropoietin (rEPO), novel erythropoiesis-stimulating protein (NESP), and continuous erythropoietin receptor activator (CERA) in a single DBS was optimized and validated. For rEPO and NESP, confirmation was performed in finger-prick DBS from a pilot study and an administration patients study, respectively. For CERA, detection capabilities were evaluated in DBS prepared with modeled-blood spiked with known concentrations of the protein. Main validation parameters concerning DBS sampling such as stability, hematocrit influence, and blood type (capillary vs. venous) described minor variations. Onsite drying appeared not to be essential before transport. Intra- and inter-day variation range was 2.9%-23.5%. Linearity was maintained (r ≥ 0.9) and ESAs were robustly recovered (CV ≤ 20.2%). The validated method permitted the detection of treated subjects after 48 hours and 17 days of rEPO and NESP administration, respectively. The reproduction of a CERA pharmacokinetics showed good possibilities for the method with a detection window that could reach 16 days after its actual administration. Thus, results provided here reinforce the suitability of DBS blood sampling for the analysis of ESA misuse in sports drug testing.

Performance of a Predictive Model for Long-Term Hemoglobin Response to Darbepoetin and Iron Administration in a Large Cohort of Hemodialysis Patients.

Anemia management, based on erythropoiesis stimulating agents (ESA) and iron supplementation, has become an increasingly challenging problem in hemodialysis patients. Maintaining hemodialysis patients within narrow hemoglobin targets, preventing cycling outside target, and reducing ESA dosing to prevent adverse outcomes requires considerable attention from caregivers. Anticipation of the long-term response (i.e. at 3 months) to the ESA/iron therapy would be of fundamental importance for planning a successful treatment strategy. To this end, we developed a predictive model designed to support decision-making regarding anemia management in hemodialysis (HD) patients treated in center. An Artificial Neural Network (ANN) algorithm for predicting hemoglobin concentrations three months into the future was developed and evaluated in a retrospective study on a sample population of 1558 HD patients treated with intravenous (IV) darbepoetin alfa, and IV iron (sucrose or gluconate). Model inputs were the last 90 days of patients' medical history and the subsequent 90 days of darbepoetin/iron prescription. Our model was able to predict individual variation of hemoglobin concentration 3 months in the future with a Mean Absolute Error (MAE) of 0.75 g/dL. Error analysis showed a narrow Gaussian distribution centered in 0 g/dL; a root cause analysis identified intercurrent and/or unpredictable events associated with hospitalization, blood transfusion, and laboratory error or misreported hemoglobin values as the main reasons for large discrepancy between predicted versus observed hemoglobin values. Our ANN predictive model offers a simple and reliable tool applicable in daily clinical practice for predicting the long-term response to ESA/iron therapy of HD patients.