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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Once-Monthly Continuous Erythropoietin Receptor Activator (C.E.R.A.) in Patients with Hemodialysis-Dependent Chronic Kidney Disease: Pooled Data from Phase III Trials</title><author><name sortKey="Locatelli, Francesco" sort="Locatelli, Francesco" uniqKey="Locatelli F" first="Francesco" last="Locatelli">Francesco Locatelli</name><affiliation><nlm:aff id="Aff1">Nephrology, Dialysis and Transplantation Department, Alessandro Manzoni Hospital, Lecco, Italy</nlm:aff></affiliation></author><author><name sortKey="Choukroun, Gabriel" sort="Choukroun, Gabriel" uniqKey="Choukroun G" first="Gabriel" last="Choukroun">Gabriel Choukroun</name><affiliation><nlm:aff id="Aff2">Nephrology, Dialysis and Transplantation Department, CHU Amiens and University of Picardie Jules Verne, Amiens, France</nlm:aff></affiliation></author><author><name sortKey="Truman, Matt" sort="Truman, Matt" uniqKey="Truman M" first="Matt" last="Truman">Matt Truman</name><affiliation><nlm:aff id="Aff3">Roche Australia, Dee Why, Australia</nlm:aff></affiliation></author><author><name sortKey="Wiggenhauser, Alfons" sort="Wiggenhauser, Alfons" uniqKey="Wiggenhauser A" first="Alfons" last="Wiggenhauser">Alfons Wiggenhauser</name><affiliation><nlm:aff id="Aff4">Roche Pharma AG, Medical Affairs, Grenzach-Wyhlen, Germany</nlm:aff></affiliation></author><author><name sortKey="Fliser, Danilo" sort="Fliser, Danilo" uniqKey="Fliser D" first="Danilo" last="Fliser">Danilo Fliser</name><affiliation><nlm:aff id="Aff5">Department of Internal Medicine IV, Saarland University Medical Centre, Homburg/Saar, Germany</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">26965694</idno><idno type="pmc">4846713</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4846713</idno><idno type="RBID">PMC:4846713</idno><idno type="doi">10.1007/s12325-016-0309-6</idno><date when="2016">2016</date><idno type="wicri:Area/Pmc/Corpus">000A35</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000A35</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Once-Monthly Continuous Erythropoietin Receptor Activator (C.E.R.A.) in Patients with Hemodialysis-Dependent Chronic Kidney Disease: Pooled Data from Phase III Trials</title><author><name sortKey="Locatelli, Francesco" sort="Locatelli, Francesco" uniqKey="Locatelli F" first="Francesco" last="Locatelli">Francesco Locatelli</name><affiliation><nlm:aff id="Aff1">Nephrology, Dialysis and Transplantation Department, Alessandro Manzoni Hospital, Lecco, Italy</nlm:aff></affiliation></author><author><name sortKey="Choukroun, Gabriel" sort="Choukroun, Gabriel" uniqKey="Choukroun G" first="Gabriel" last="Choukroun">Gabriel Choukroun</name><affiliation><nlm:aff id="Aff2">Nephrology, Dialysis and Transplantation Department, CHU Amiens and University of Picardie Jules Verne, Amiens, France</nlm:aff></affiliation></author><author><name sortKey="Truman, Matt" sort="Truman, Matt" uniqKey="Truman M" first="Matt" last="Truman">Matt Truman</name><affiliation><nlm:aff id="Aff3">Roche Australia, Dee Why, Australia</nlm:aff></affiliation></author><author><name sortKey="Wiggenhauser, Alfons" sort="Wiggenhauser, Alfons" uniqKey="Wiggenhauser A" first="Alfons" last="Wiggenhauser">Alfons Wiggenhauser</name><affiliation><nlm:aff id="Aff4">Roche Pharma AG, Medical Affairs, Grenzach-Wyhlen, Germany</nlm:aff></affiliation></author><author><name sortKey="Fliser, Danilo" sort="Fliser, Danilo" uniqKey="Fliser D" first="Danilo" last="Fliser">Danilo Fliser</name><affiliation><nlm:aff id="Aff5">Department of Internal Medicine IV, Saarland University Medical Centre, Homburg/Saar, Germany</nlm:aff></affiliation></author></analytic><series><title level="j">Advances in Therapy</title><idno type="ISSN">0741-238X</idno><idno type="eISSN">1865-8652</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Introduction</title><p>Erythropoiesis-stimulating agents and iron are commonly used in patients with chronic kidney disease with the aim of correcting anemia and maintaining stable hemoglobin levels. We analyzed pooled data from 13 studies with similar designs included in the Umbrella Continuous Erythropoietin Receptor Activator (C.E.R.A.) program to investigate the effects of continuous erythropoiesis receptor activator in clinically relevant subgroups of patients with chronic kidney disease and to determine whether the efficacy and safety outcomes demonstrated in the overall chronic kidney disease population are maintained in specific subgroups.</p></sec><sec><title>Methods</title><p>Data from 13 Phase III trials set up with similar design were retrospectively pooled for this analysis. Patients with chronic kidney disease who had previously been receiving epoetin or darbepoetin were switched to continuous erythropoiesis receptor activator once-monthly after a 4- to 8-week screening period. Patients entered a 16-week continuous erythropoiesis receptor activator dose-titration period followed by an 8-week evaluation period. In total, 2060 patients were included in the analysis. Subgroups were defined based on: hemoglobin target range [lower (10.0–12.0 g/dL)/upper (10.5–13.0 g/dL)], gender (female/male), age (<65/≥65), baseline N-terminal pro-B-type natriuretic peptide levels (<5000/≥5000), cardiovascular risk factors (diabetes/cardiac/vascular/none).</p></sec><sec><title>Results</title><p>Across all subgroups analyzed, switching from shorter-acting erythropoiesis-stimulating agents to continuous erythropoiesis receptor activator once-monthly maintained stable hemoglobin concentrations in a high proportion of patients (78%), with only moderate hemoglobin fluctuations and a low number of dose changes. The safety profile across subgroups was as expected based on pre-existing risk factors; observed increases in adverse events were attributable to underlying risk factors rather than study drug.</p></sec><sec><title>Conclusions</title><p>This retrospective analysis of 13 trials showed that continuous erythropoiesis receptor activator once-monthly maintained stable hemoglobin levels across a number of clinically relevant patient subgroups, including those with higher inherent cardiovascular risk. The safety profile was consistent with that previously established in the chronic kidney disease population.</p></sec><sec><title>ClinicalTrials.gov identifiers</title><p>NCT00413894/NCT00545571/NCT00517413/NCT00560404/NCT00882713/NCT00550680/NCT00576303/NCT00660023/NCT00717821/NCT00642850/NCT00605293/NCT00661505/NCT00699348.</p></sec><sec><title>Funding</title><p>F. Hoffmann-La Roche Ltd, Basel, Switzerland.</p></sec><sec><title>Electronic supplementary material</title><p>The online version of this article (doi:10.1007/s12325-016-0309-6) contains supplementary material, which is available to authorized users.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Portoles, J" uniqKey="Portoles J">J Portoles</name></author><author><name sortKey="Gorriz, Jl" uniqKey="Gorriz J">JL Gorriz</name></author><author><name sortKey="Rubio, E" uniqKey="Rubio E">E Rubio</name></author><author><name sortKey="De Alvaro, F" uniqKey="De Alvaro F">F de Alvaro</name></author><author><name sortKey="Garcia, F" uniqKey="Garcia F">F Garcia</name></author><author><name sortKey="Alvarez Chivas, V" uniqKey="Alvarez Chivas V">V Alvarez-Chivas</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kovesdy, Cp" uniqKey="Kovesdy C">CP Kovesdy</name></author><author><name sortKey="Trivedi, Bk" 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Nassar</name></author><author><name sortKey="Moran, Je" uniqKey="Moran J">JE Moran</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Sulowicz, W" uniqKey="Sulowicz W">W Sulowicz</name></author><author><name sortKey="Locatelli, F" uniqKey="Locatelli F">F Locatelli</name></author><author><name sortKey="Ryckelynck, Jp" uniqKey="Ryckelynck J">JP Ryckelynck</name></author><author><name sortKey="Balla, J" uniqKey="Balla J">J Balla</name></author><author><name sortKey="Csiky, B" uniqKey="Csiky B">B Csiky</name></author><author><name sortKey="Harris, K" uniqKey="Harris K">K Harris</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Dellanna, F" uniqKey="Dellanna F">F Dellanna</name></author><author><name sortKey="Winkler, Re" uniqKey="Winkler R">RE Winkler</name></author><author><name sortKey="Bozkurt, F" uniqKey="Bozkurt F">F Bozkurt</name></author><author><name sortKey="Schettler, V" uniqKey="Schettler V">V Schettler</name></author><author><name sortKey="Graf, S" uniqKey="Graf S">S Graf</name></author><author><name sortKey="Bockreiss, N" uniqKey="Bockreiss N">N Bockreiss</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Weinreich, T" uniqKey="Weinreich T">T Weinreich</name></author><author><name sortKey="Leistikow, F" uniqKey="Leistikow F">F Leistikow</name></author><author><name sortKey="Hartmann, Hg" uniqKey="Hartmann H">HG Hartmann</name></author><author><name sortKey="Vollgraf, G" uniqKey="Vollgraf G">G Vollgraf</name></author><author><name sortKey="Dellanna, F" uniqKey="Dellanna F">F Dellanna</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Fliser, D" uniqKey="Fliser D">D Fliser</name></author><author><name sortKey="Kleophas, W" uniqKey="Kleophas W">W Kleophas</name></author><author><name sortKey="Dellanna, F" uniqKey="Dellanna F">F Dellanna</name></author><author><name sortKey="Winkler, Re" uniqKey="Winkler R">RE Winkler</name></author><author><name sortKey="Backs, W" uniqKey="Backs W">W Backs</name></author><author><name sortKey="Kraatz, U" uniqKey="Kraatz U">U Kraatz</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Mann, Jf" uniqKey="Mann J">JF Mann</name></author><author><name sortKey="De Francisco, A" uniqKey="De Francisco A">A de Francisco</name></author><author><name sortKey="Nassar, G" uniqKey="Nassar G">G Nassar</name></author><author><name sortKey="Canaud, B" uniqKey="Canaud B">B Canaud</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Carrera, F" uniqKey="Carrera F">F Carrera</name></author><author><name sortKey="Lok, Ce" uniqKey="Lok C">CE Lok</name></author><author><name sortKey="De Francisco, A" uniqKey="De Francisco A">A de Francisco</name></author><author><name sortKey="Locatelli, F" uniqKey="Locatelli F">F Locatelli</name></author><author><name sortKey="Mann, Jf" uniqKey="Mann J">JF 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Francisco, A" uniqKey="De Francisco A">A de Francisco</name></author><author><name sortKey="Deray, G" uniqKey="Deray G">G Deray</name></author><author><name sortKey="Fliser, D" uniqKey="Fliser D">D Fliser</name></author><author><name sortKey="Armstrong, G" uniqKey="Armstrong G">G Armstrong</name></author><author><name sortKey="Dougherty, Fc" uniqKey="Dougherty F">FC Dougherty</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Locatelli, F" uniqKey="Locatelli F">F Locatelli</name></author><author><name sortKey="Altieri, P" uniqKey="Altieri P">P Altieri</name></author><author><name sortKey="Andrulli, S" uniqKey="Andrulli S">S Andrulli</name></author><author><name sortKey="Sau, G" uniqKey="Sau G">G Sau</name></author><author><name sortKey="Bolasco, P" uniqKey="Bolasco P">P Bolasco</name></author><author><name sortKey="Pedrini, La" uniqKey="Pedrini L">LA Pedrini</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Locatelli, 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Adv Ther</journal-id><journal-id journal-id-type="iso-abbrev">Adv Ther</journal-id><journal-title-group><journal-title>Advances in Therapy</journal-title></journal-title-group><issn pub-type="ppub">0741-238X</issn><issn pub-type="epub">1865-8652</issn><publisher><publisher-name>Springer Healthcare</publisher-name><publisher-loc>Cheshire</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">26965694</article-id><article-id pub-id-type="pmc">4846713</article-id><article-id pub-id-type="publisher-id">309</article-id><article-id pub-id-type="doi">10.1007/s12325-016-0309-6</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Research</subject></subj-group></article-categories><title-group><article-title>Once-Monthly Continuous Erythropoietin Receptor Activator (C.E.R.A.) in Patients with Hemodialysis-Dependent Chronic Kidney Disease: Pooled Data from Phase III Trials</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Locatelli</surname><given-names>Francesco</given-names></name><address><email>f.locatelli@ospedale.lecco.it</email></address><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author"><name><surname>Choukroun</surname><given-names>Gabriel</given-names></name><xref ref-type="aff" rid="Aff2"></xref></contrib><contrib contrib-type="author"><name><surname>Truman</surname><given-names>Matt</given-names></name><xref ref-type="aff" rid="Aff3"></xref></contrib><contrib contrib-type="author"><name><surname>Wiggenhauser</surname><given-names>Alfons</given-names></name><xref ref-type="aff" rid="Aff4"></xref></contrib><contrib contrib-type="author"><name><surname>Fliser</surname><given-names>Danilo</given-names></name><xref ref-type="aff" rid="Aff5"></xref></contrib><aff id="Aff1"><label></label>Nephrology, Dialysis and Transplantation Department, Alessandro Manzoni Hospital, Lecco, Italy</aff><aff id="Aff2"><label></label>Nephrology, Dialysis and Transplantation Department, CHU Amiens and University of Picardie Jules Verne, Amiens, France</aff><aff id="Aff3"><label></label>Roche Australia, Dee Why, Australia</aff><aff id="Aff4"><label></label>Roche Pharma AG, Medical Affairs, Grenzach-Wyhlen, Germany</aff><aff id="Aff5"><label></label>Department of Internal Medicine IV, Saarland University Medical Centre, Homburg/Saar, Germany</aff></contrib-group><pub-date pub-type="epub"><day>10</day><month>3</month><year>2016</year></pub-date><pub-date pub-type="pmc-release"><day>10</day><month>3</month><year>2016</year></pub-date><pub-date pub-type="ppub"><year>2016</year></pub-date><volume>33</volume><fpage>610</fpage><lpage>625</lpage><history><date date-type="received"><day>8</day><month>1</month><year>2016</year></date></history><permissions><copyright-statement>© The Author(s) 2016</copyright-statement></permissions><abstract id="Abs1"><sec><title>Introduction</title><p>Erythropoiesis-stimulating agents and iron are commonly used in patients with chronic kidney disease with the aim of correcting anemia and maintaining stable hemoglobin levels. We analyzed pooled data from 13 studies with similar designs included in the Umbrella Continuous Erythropoietin Receptor Activator (C.E.R.A.) program to investigate the effects of continuous erythropoiesis receptor activator in clinically relevant subgroups of patients with chronic kidney disease and to determine whether the efficacy and safety outcomes demonstrated in the overall chronic kidney disease population are maintained in specific subgroups.</p></sec><sec><title>Methods</title><p>Data from 13 Phase III trials set up with similar design were retrospectively pooled for this analysis. Patients with chronic kidney disease who had previously been receiving epoetin or darbepoetin were switched to continuous erythropoiesis receptor activator once-monthly after a 4- to 8-week screening period. Patients entered a 16-week continuous erythropoiesis receptor activator dose-titration period followed by an 8-week evaluation period. In total, 2060 patients were included in the analysis. Subgroups were defined based on: hemoglobin target range [lower (10.0–12.0 g/dL)/upper (10.5–13.0 g/dL)], gender (female/male), age (<65/≥65), baseline N-terminal pro-B-type natriuretic peptide levels (<5000/≥5000), cardiovascular risk factors (diabetes/cardiac/vascular/none).</p></sec><sec><title>Results</title><p>Across all subgroups analyzed, switching from shorter-acting erythropoiesis-stimulating agents to continuous erythropoiesis receptor activator once-monthly maintained stable hemoglobin concentrations in a high proportion of patients (78%), with only moderate hemoglobin fluctuations and a low number of dose changes. The safety profile across subgroups was as expected based on pre-existing risk factors; observed increases in adverse events were attributable to underlying risk factors rather than study drug.</p></sec><sec><title>Conclusions</title><p>This retrospective analysis of 13 trials showed that continuous erythropoiesis receptor activator once-monthly maintained stable hemoglobin levels across a number of clinically relevant patient subgroups, including those with higher inherent cardiovascular risk. The safety profile was consistent with that previously established in the chronic kidney disease population.</p></sec><sec><title>ClinicalTrials.gov identifiers</title><p>NCT00413894/NCT00545571/NCT00517413/NCT00560404/NCT00882713/NCT00550680/NCT00576303/NCT00660023/NCT00717821/NCT00642850/NCT00605293/NCT00661505/NCT00699348.</p></sec><sec><title>Funding</title><p>F. Hoffmann-La Roche Ltd, Basel, Switzerland.</p></sec><sec><title>Electronic supplementary material</title><p>The online version of this article (doi:10.1007/s12325-016-0309-6) contains supplementary material, which is available to authorized users.</p></sec></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>Anemia, chronic kidney disease</kwd><kwd>Continuous erythropoiesis</kwd><kwd>Hemodialysis</kwd><kwd>Receptor activator</kwd><kwd>Efficacy</kwd><kwd>Patient subgroups</kwd><kwd>Pooled analysis</kwd></kwd-group><funding-group><award-group><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100007013</institution-id><institution>F. Hoffman-La Roche</institution></institution-wrap></funding-source></award-group></funding-group><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>© Springer Healthcare 2016</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="Sec1"><title>Introduction</title><p>Anemia is common in patients with chronic kidney disease (CKD); severe anemia can reduce quality of life, and increase the risk of cardiovascular (CV) events and mortality [<xref ref-type="bibr" rid="CR1">1</xref>, <xref ref-type="bibr" rid="CR2">2</xref>]. Anemia management is central in care for patients with CKD, and treatment with iron and erythropoiesis-stimulating agents (ESAs) is the standard of care for patients on dialysis. Therapeutic goals include correcting anemia and maintaining stable hemoglobin (Hb) levels. Reduced ESA dose and frequency of administration should also be sought [<xref ref-type="bibr" rid="CR3">3</xref>, <xref ref-type="bibr" rid="CR4">4</xref>]. A recent systematic review and meta-analysis of randomized trials in patients with CKD analyzed data from more than 12,000 patients in 40 trials with the aim of comparing the efficacy and safety of ESAs [<xref ref-type="bibr" rid="CR5">5</xref>]. The conclusion was that epoetins (epoetin alfa, epoetin beta; darbepoetin alfa, methoxy polyethylene glycol-epoetin beta) were similarly effective for preventing blood transfusion and better than placebo and that currently all ESAs are safe and efficacious with minimal differences between the different formulations in the CKD setting.</p><p>Despite well-defined therapeutic goals, maintaining Hb within the desired range is challenging in patients with CKD: many factors, including iron status and comorbidities, influence the response to treatment. Continuous erythropoiesis receptor activator [C.E.R.A. (methoxy polyethylene glycol-epoetin beta)] [<xref ref-type="bibr" rid="CR6">6</xref>] has a long half-life (134 h), a relatively low binding affinity for the erythropoietin receptor and low systemic clearance, allowing once-monthly (QM) dosing, which may be more convenient for patients compared with shorter-acting ESAs [<xref ref-type="bibr" rid="CR6">6</xref>, <xref ref-type="bibr" rid="CR7">7</xref>].</p><p>A variety of Phase II and III trials of C.E.R.A. have been conducted in CKD. Data from 13 Phase III trials set up with similar design were pooled for this analysis, each multicenter study set up using similar inclusion and exclusion criteria and trial design to allow analyses to be performed both at the single-study level and using pooled data from multiple studies. Data from individual studies in dialysis-dependent patients with CKD have demonstrated that C.E.R.A. QM maintains stable on-target Hb concentrations with fewer dose adjustments than shorter-acting ESAs [<xref ref-type="bibr" rid="CR7">7</xref>–<xref ref-type="bibr" rid="CR16">16</xref>]. Pooling data from similar individual studies allows investigating the efficacy and safety of C.E.R.A. in clinically relevant subgroups of patients with CKD, where underlying risk factors can potentially affect patients’ response to treatment.</p><p>The present pool comprises 13 similarly designed studies investigating the efficacy and safety of C.E.R.A. QM in 2060 dialysis patients. Studies were conducted in real-life settings across numerous countries between 2007 and 2011. The aim of this analysis was to determine whether the efficacy and safety of C.E.R.A. is affected by CV risk factors, age, gender, or protocol-defined Hb target ranges.</p></sec><sec id="Sec2"><title>Methods</title><p>For this analysis, data from 13 interventional, open-label, multicenter trials included in the Umbrella C.E.R.A. program (ClinicalTrials.gov identifiers: NCT00413894/NCT00545571/NCT00517413/NCT00560404/NCT00882713/NCT00550680/NCT00576303/NCT00660023/NCT00717821/NCT00642850/NCT00605293/NCT00661505/NCT00699348) conducted in 404 centers across Brazil, Czech Republic, France, Germany, Greece, Hungary, Italy, Latin America, Morocco, Russia, Spain, Switzerland and Turkey were pooled (Supplementary Table 1). Ten single-arm and three 2-arm randomized trials were run under an Umbrella protocol to ensure similar populations and similar treatment regimens. All patients from the 10 single-arm trials and patients from the C.E.R.A. arm of the three randomized trials have been combined for this Umbrella analysis.</p><sec id="Sec3"><title>Ethics Statement</title><p>Studies were conducted in accordance with the Declaration of Helsinki of 1964, as revised in 2013, and the protocols were approved by the Institutional Review Boards/local Independent Ethics Committees at each center. Written informed consent was obtained from all participants. Data analyzed in this manuscript are from previously published studies.</p></sec><sec id="Sec4"><title>Subjects, Inclusion and Exclusion Criteria</title><p>Inclusion and exclusion criteria were similar across studies. Patients (≥18 years) with chronic renal anemia on hemodialysis meeting the following criteria were eligible: Hb concentration within the study’s target range, adequate iron status [serum ferritin >100 ng/mL <underline>and</underline> transferrin saturation (TSAT) >20% <underline>or</underline> hypochromic red cells <10%], continuous ESA maintenance therapy with unchanged dosing interval and weekly dose during the previous month, regular long-term dialysis with identical mode of dialysis for at least 3 previous months.</p><p>Exclusion criteria were relevant acute or chronic bleeding, or erythrocyte transfusion within the preceding 8 weeks, hemoglobinopathy or known hemolysis, active malignant disease, vitamin B12 or folic acid deficiency, pure red cell aplasia, platelet count >500 × 10<sup>9</sup>/L or <100 × 10<sup>9</sup>/L, poorly controlled hypertension, myocardial infarction, stroke, severe/unstable coronary artery disease, severe liver disease during the previous 3 months or severe congestive heart failure (New York Heart Association class IV).</p></sec><sec id="Sec5"><title>Study Design</title><p>Patients with chronic renal anemia on dialysis (Table <xref rid="Tab1" ref-type="table">1</xref>) receiving ESA treatment entered a 4- to 8-week screening period, during which mean Hb concentrations were maintained within the study’s target range (10–12 or 10.5–13 g/dL). Patients then entered a 16-week C.E.R.A. dose-titration period followed by an 8-week evaluation period (Fig. <xref rid="Fig1" ref-type="fig">1</xref>), with Hb concentrations assessed during screening, titration and evaluation. Subgroups were defined based on: Hb target range (lower, 10.0–12.0 g/dL/upper, 10.5–13.0 g/dL); gender (F/M); age (<65/≥65); baseline N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels (<5000/≥5000, a 5000 ng/mL cut-off was predictive for various endpoints [<xref ref-type="bibr" rid="CR17">17</xref>]); CV risk factors (diabetes/cardiac/vascular/none). Patients were further subdivided per quintiles of C.E.R.A. dose (µg: q1 ≤ 70; q2 = 70–110; q3 = 110–125; q4 = 125–185; q5 ≥ 185), Hb (g/dL: q1 ≤ 10.65; q2 = 10.65–11.2; q3 = 11.2–11.7; q4 = 11.7–12.25; q5 ≥ 12.25), and C-reactive protein (CRP) (mg/L: q1 ≤ 2.26; q2 = 2.26–4.14; q3 = 4.14–7.21; q4 = 7.21–14; q5 ≥ 14).<table-wrap id="Tab1"><label>Table 1</label><caption><p>Studies, countries and hemoglobin target ranges included in the pooled analysis</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left">Study</th><th align="left">NCT number</th><th align="left">Country</th><th align="left">Number (%) of patients</th><th align="left">Hemoglobin target range (g/dL)</th><th align="left">Hemoglobin target range group</th></tr></thead><tbody><tr><td align="left">ML21040</td><td align="left">NCT00642850</td><td align="left">Czech Republic</td><td char="(" align="char">155 (7.5)</td><td char="–" align="char">10.0–12.0</td><td align="left">Lower</td></tr><tr><td align="left">ML21145</td><td align="left">NCT00717821</td><td align="left">France</td><td char="(" align="char">225 (10.9)</td><td char="–" align="char">10.0–12.0</td><td align="left">Lower</td></tr><tr><td align="left">ML20752</td><td align="left">NCT00660023</td><td align="left">Hungary</td><td char="(" align="char">107 (5.2)</td><td char="–" align="char">10.0–12.0</td><td align="left">Lower</td></tr><tr><td align="left">ML21438</td><td align="left">NCT00699348</td><td align="left">Italy</td><td char="(" align="char">298 (14.5)</td><td char="–" align="char">10.0–12.0</td><td align="left">Lower</td></tr><tr><td align="left">ML21060</td><td align="left">NCT00605293</td><td align="left">Spain</td><td char="(" align="char">48 (2.3)</td><td char="–" align="char">10.0–12.0</td><td align="left">Lower</td></tr><tr><td align="left">ML21096</td><td align="left">NCT00661505</td><td align="left">Turkey</td><td char="(" align="char">102 (5.0)</td><td char="–" align="char">10.0–12.0</td><td align="left">Lower</td></tr><tr><td align="left">ML21208</td><td align="left">NCT00560404</td><td align="left">Brazil</td><td char="(" align="char">76 (3.7)</td><td char="–" align="char">10.5–12.5</td><td align="left">Upper</td></tr><tr><td align="left">ML20952</td><td align="left">NCT00550680</td><td align="left">Greece</td><td char="(" align="char">152 (7.4)</td><td char="–" align="char">10.5–12.5</td><td align="left">Upper</td></tr><tr><td align="left">ML20881</td><td align="left">NCT00517413</td><td align="left">Latin America</td><td char="(" align="char">129 (6.3)</td><td char="–" align="char">10.5–12.5</td><td align="left">Upper</td></tr><tr><td align="left">ML21797</td><td align="left">NCT00882713</td><td align="left">Morocco</td><td char="(" align="char">182 (8.8)</td><td char="–" align="char">10.5–12.5</td><td align="left">Upper</td></tr><tr><td align="left">ML20977</td><td align="left">NCT00576303</td><td align="left">Russia</td><td char="(" align="char">178 (8.6)</td><td char="–" align="char">10.5–12.5</td><td align="left">Upper</td></tr><tr><td align="left">ML20572</td><td align="left">NCT00413894</td><td align="left">Germany</td><td char="(" align="char">344 (16.7)</td><td char="–" align="char">11.0–12.5</td><td align="left">Upper</td></tr><tr><td align="left">ML20826</td><td align="left">NCT00545571</td><td align="left">Switzerland</td><td char="(" align="char">64 (3.1)</td><td char="–" align="char">11.0–13.0</td><td align="left">Upper</td></tr></tbody></table><table-wrap-foot><p>Individual study results are summarized as supporting information (Supplementary Table 1) and accessible on <ext-link ext-link-type="uri" xlink:href="http://www.roche-trials.com">http://www.roche-trials.com</ext-link></p></table-wrap-foot></table-wrap><fig id="Fig1"><label>Fig. 1</label><caption><p>Common study design. In all 13 studies, enrolled patients entered a 4- to 8-week screening period followed by a 16-week C.E.R.A. dose-titration period, and an 8-week evaluation period. <italic>C.E.R.A.</italic> continuous erythropoietin receptor activator, <italic>ESA</italic> erythropoiesis-stimulating agents</p></caption><graphic xlink:href="12325_2016_309_Fig1_HTML" id="MO1"></graphic></fig></p></sec><sec id="Sec6"><title>Study Treatment</title><p>Patients continued to receive epoetin or darbepoetin during screening, with no dose interval changes. C.E.R.A. (Micera<sup>®</sup>, F. Hoffmann-La Roche Ltd., Basel, Switzerland) was administered during dose titration and evaluation. The starting C.E.R.A. dose was based on the last dose of previous ESA, according to the Summary of Product Characteristics: <8000 international units (IU) epoetin or <40 µg darbepoetin alfa = 120 µg (or 125 µg in study ML20572) C.E.R.A.; 8000–16,000 IU epoetin or 40–80 µg darbepoetin alfa = 200 µg C.E.R.A.; >16,000 IU epoetin or >80 µg darbepoetin alfa = 360 µg C.E.R.A. [<xref ref-type="bibr" rid="CR18">18</xref>].</p><p>C.E.R.A. doses were adjusted during titration and evaluation at the investigator’s discretion to maintain Hb within the pre-defined target range of each individual study.</p></sec><sec id="Sec7"><title>Efficacy and Safety Comparisons in Defined Subgroups</title><p>Efficacy endpoints were Hb concentration, Hb fluctuation, proportion of patients maintaining Hb stability (Hb concentration change ≤1.0 g/dL from screening to evaluation period or maintained within the target range), required dose of C.E.R.A. and dose adjustments.</p><p>Safety endpoints for comparative subgroup analyses were the number of adverse events (AEs) and serious AEs (SAEs), cardiac events and serious CV events, thromboembolic events (including vascular access thrombosis), hypertensive events (including reports of hypertension, hypertensive crisis and blood pressure fluctuation) and vascular disorders (without hypertensive events) e.g., stenosis, phlebitis, arteriosclerosis.</p><p>At each study visit, routine laboratory measurements were conducted. Relevant tests known to correlate with ESA response were: transferrin saturation, ferritin, and CRP. Additionally, an ESA resistance index was computed: the rank of the cumulative ESA dosing in the screening period (before switching to C.E.R.A.) over the rank of the average Hb during the screening period [<xref ref-type="bibr" rid="CR19">19</xref>, <xref ref-type="bibr" rid="CR20">20</xref>]. In most studies NT-proBNP was measured at baseline.</p></sec><sec id="Sec8"><title>Statistical Methods</title><p>This analysis included patients who reached the efficacy evaluation period (intention-to-treat completers).</p><p>Average Hb concentrations for a particular period were based on all Hb assessments during that period. If <italic>H</italic><sub>0</sub>,…,<italic>H</italic><sub><italic>n</italic></sub> are taken at timepoints <italic>t</italic><sub>0</sub>,…,<italic>t</italic><sub><italic>n</italic></sub>, the time-adjusted average Hb value per patient (Hb concentration) was calculated by:<disp-formula id="Equa"><alternatives><tex-math id="M1">\documentclass[12pt]{minimal}
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\begin{document}$$ {\text{Hb}}\;{\text{level}}\; = \;\frac{1}{{2(t_{n} - \;t_{0} )}}\sum\limits_{i} {\left( {H_{i} + H_{i - 1} } \right)\left( {t_{i} - t_{i - 1} } \right)} $$\end{document}</tex-math><mml:math id="M2" display="block"><mml:mrow><mml:mtext>Hb</mml:mtext><mml:mspace width="0.277778em"></mml:mspace><mml:mtext>level</mml:mtext><mml:mspace width="0.277778em"></mml:mspace><mml:mo>=</mml:mo><mml:mspace width="0.277778em"></mml:mspace><mml:mfrac><mml:mn>1</mml:mn><mml:mrow><mml:mn>2</mml:mn><mml:mo stretchy="false">(</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mi>n</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:mspace width="0.277778em"></mml:mspace><mml:msub><mml:mi>t</mml:mi><mml:mn>0</mml:mn></mml:msub><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mfrac><mml:munder><mml:mo movablelimits="false">∑</mml:mo><mml:mi>i</mml:mi></mml:munder><mml:mrow><mml:mfenced close=")" open="(" separators=""><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi>H</mml:mi><mml:mrow><mml:mi>i</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:mfenced><mml:mfenced close=")" open="(" separators=""><mml:mrow><mml:msub><mml:mi>t</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mrow><mml:mi>i</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:mfenced></mml:mrow></mml:mrow></mml:math><graphic xlink:href="12325_2016_309_Article_Equa.gif" position="anchor"></graphic></alternatives></disp-formula></p><p>Hb fluctuation was estimated by a successive variation measure according to the following formula:<disp-formula id="Equb"><alternatives><tex-math id="M3">\documentclass[12pt]{minimal}
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\begin{document}$$ {\text{Hb}}\;{\text{fluctuation}}\; = \;\sqrt {\frac{1}{{2(t_{n} - \;t_{0} )}}\sum\limits_{i = 1}^{n} {\left( {H_{i} - H_{i - 1} } \right)^{2} { \cdot }\left( {t_{i} - t_{i - 1} } \right)}} $$\end{document}</tex-math><mml:math id="M4" display="block"><mml:mrow><mml:mtext>Hb</mml:mtext><mml:mspace width="0.277778em"></mml:mspace><mml:mtext>fluctuation</mml:mtext><mml:mspace width="0.277778em"></mml:mspace><mml:mo>=</mml:mo><mml:mspace width="0.277778em"></mml:mspace><mml:msqrt><mml:mrow><mml:mfrac><mml:mn>1</mml:mn><mml:mrow><mml:mn>2</mml:mn><mml:mo stretchy="false">(</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mi>n</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:mspace width="0.277778em"></mml:mspace><mml:msub><mml:mi>t</mml:mi><mml:mn>0</mml:mn></mml:msub><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mfrac><mml:munderover><mml:mo movablelimits="false">∑</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn>1</mml:mn></mml:mrow><mml:mi>n</mml:mi></mml:munderover><mml:mrow><mml:msup><mml:mfenced close=")" open="(" separators=""><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi>H</mml:mi><mml:mrow><mml:mi>i</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:mfenced><mml:mn>2</mml:mn></mml:msup><mml:mo>·</mml:mo><mml:mfenced close=")" open="(" separators=""><mml:mrow><mml:msub><mml:mi>t</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mrow><mml:mi>i</mml:mi><mml:mo>-</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:mfenced></mml:mrow></mml:mrow></mml:msqrt></mml:mrow></mml:math><graphic xlink:href="12325_2016_309_Article_Equb.gif" position="anchor"></graphic></alternatives></disp-formula></p><p>This fluctuation measure is less prone to overall trends in Hb development compared with usual standard deviation (SD) measures.</p><p>Overall Hb stability was the proportion of patients maintaining Hb concentration within ±1.0 g/dL from the screening to the evaluation period or staying within target range of the pertaining study.</p><p>Differences between subgroups were tested by <italic>t</italic> tests or Wilcoxon rank sum tests for metric variables or Chi-square tests for categorical variables.</p><p>A word of statistical caution: this study’s database is large; therefore even small differences between groups can become statistically significant. Differences should be judged by their relative size and potential clinical relevance, not by formal statistical significance. In order to avoid spurious significance, <italic>p</italic> values <0.01 were considered statistically significant.</p></sec></sec><sec id="Sec9"><title>Results</title><sec id="Sec10"><title>Study Population</title><p>In total, 2060 patients [mean (SD) age 60.6 (15.6) years, 57.6% male] from 13 studies were included in the analysis. Demographic and baseline characteristics are summarized in Table <xref rid="Tab2" ref-type="table">2</xref>. The largest renal disease etiology subgroups were hypertension [<italic>n</italic> = 487 (28%)], diabetes [<italic>n</italic> = 351 (21%)] and glomerulonephritis [<italic>n</italic> = 318 (19%)] (percentages based on patients with defined etiology). In total, 1508 patients (73%) had ≥1 prior disease/risk factor, the most common being vascular disorders (68%) and metabolism/nutrition disorders (38%). Most patients (81%) received epoetin during screening; 43% received epoetin alfa, 38% epoetin beta, and 28% darbepoetin. Some patients had a change in ESA medication during the screening period, thus numbers add to over 100%.<table-wrap id="Tab2"><label>Table 2</label><caption><p>Demographic characteristics of patients (<italic>n</italic> = 2060)</p></caption><table frame="hsides" rules="groups"><tbody><tr><td align="left">Male, <italic>n</italic> (%)</td><td align="left">1186 (57.6)</td></tr><tr><td align="left">Mean age, years ± SD</td><td align="left">61 ± 15.6</td></tr><tr><td align="left">Mean weight, kg ± SD</td><td align="left">71 ± 15.2</td></tr><tr><td align="left">Mean height, cm ± SD</td><td align="left">166 ± 9.7</td></tr><tr><td align="left" colspan="2">Ethnicity, <italic>n</italic> (%)</td></tr><tr><td align="left"> White</td><td align="left">1533 (74)</td></tr><tr><td align="left"> Hispanic or Latino</td><td align="left">53 (3)</td></tr><tr><td align="left"> Black</td><td align="left">29 (1)</td></tr><tr><td align="left"> Other</td><td align="left">38 (2)</td></tr><tr><td align="left"> Unknown</td><td align="left">445 (22)</td></tr><tr><td align="left" colspan="2">Etiology of renal disease, <italic>n</italic> (%)</td></tr><tr><td align="left"> Hypertension/large vessel disease</td><td align="left">487 (28)</td></tr><tr><td align="left"> Glomerulonephritis</td><td align="left">318 (19)</td></tr><tr><td align="left"> Diabetes</td><td align="left">351 (21)</td></tr><tr><td align="left"> Interstitial nephritis/pyelonephritis</td><td align="left">217 (13)</td></tr><tr><td align="left"> Polycystic kidney disease</td><td align="left">109 (6)</td></tr><tr><td align="left"> Sec. glomerulonephritis/vasculitis</td><td align="left">56 (3)</td></tr><tr><td align="left"> Other hereditary/congenital diseases</td><td align="left">35 (2)</td></tr><tr><td align="left"> Neoplasms/tumors</td><td align="left">34 (2)</td></tr><tr><td align="left"> Other</td><td align="left">160 (9)</td></tr><tr><td align="left"> Undefined etiology</td><td align="left">315 (18)</td></tr><tr><td align="left" colspan="2">Prior diseases/risk factors</td></tr><tr><td align="left"> Vascular disorders</td><td align="left">1397 (68)</td></tr><tr><td align="left"> Metabolism and nutrition disorders</td><td align="left">778 (38)</td></tr><tr><td align="left"> Cardiac disorders</td><td align="left">390 (19)</td></tr><tr><td align="left"> Surgical and medical procedures</td><td align="left">317 (15)</td></tr><tr><td align="left"> Nervous system disorders</td><td align="left">151 (7)</td></tr><tr><td align="left"> Gastrointestinal disorders</td><td align="left">110 (5)</td></tr><tr><td align="left"> Infections and infestations</td><td align="left">29 (1)</td></tr><tr><td align="left"> Respiratory, thoracic and mediastinal disorders</td><td align="left">19 (1)</td></tr><tr><td align="left" colspan="2">ESA administration during screening, %</td></tr><tr><td align="left"> Epoetin alfa</td><td align="left">43</td></tr><tr><td align="left"> Epoetin beta</td><td align="left">38</td></tr><tr><td align="left"> Darbepoetin alfa</td><td align="left">28</td></tr><tr><td align="left"> Other</td><td align="left">2</td></tr></tbody></table><table-wrap-foot><p><italic>ESA</italic> erythropoiesis-stimulating agent, <italic>SD</italic> Standard deviation</p></table-wrap-foot></table-wrap></p><p>Patients were divided into subgroups as follows: lower/upper Hb target range (<italic>n</italic> = 935/<italic>n</italic> = 1125); male/female (<italic>n</italic> = 1186/<italic>n</italic> = 874); <65/≥65 years (<italic>n</italic> = 1090/<italic>n</italic> = 932); low/high baseline NT-proBNP (<italic>n</italic> = 975/<italic>n</italic> = 624); patients with diabetes (<italic>n</italic> = 535), with cardiac risk factors (<italic>n</italic> = 565), with vascular risk factors (<italic>n</italic> = 1675), with no CV risk factors (<italic>n</italic> = 283).</p></sec><sec id="Sec11"><title>Efficacy</title><p>As seen previously [<xref ref-type="bibr" rid="CR6">6</xref>, <xref ref-type="bibr" rid="CR7">7</xref>], the overall population achieved stable Hb concentrations throughout screening, titration and evaluation periods, and exhibited Hb fluctuations ~0.5 g/dL during evaluation. The mean Hb level was 11.4 g/dL during both screening and evaluation and was 11.7 g/dL during titration. A high proportion of patients exhibited Hb stability (Hb concentration within ±1 g/dL from screening or within the target range) (Fig. <xref rid="Fig2" ref-type="fig">2</xref>). Overall, patients required an average C.E.R.A. dose of 133.4 µg during titration and 131.3 µg during evaluation. During titration, patients received 8220 C.E.R.A. administrations in total; dose changes were required in 3078 cases (37.4%). During the evaluation period, patients received a total of 4103 doses; dose changes were required in 737 cases (18.0%). Efficacy within different subgroups during the evaluation period is considered in detail below.<fig id="Fig2"><label>Fig. 2</label><caption><p>Proportion of patients exhibiting hemoglobin stability. Across all studied subgroups, a large majority of patients (76–80%) exhibited hemoglobin stability (hemoglobin concentration within ±1 g/dL from screening or within the target range, evaluation period). <italic>CV</italic> cardiovascular, <italic>L</italic> lower, <italic>NT</italic>-<italic>proBNP</italic> N-terminal pro-B-type natriuretic peptide, <italic>U</italic> upper</p></caption><graphic xlink:href="12325_2016_309_Fig2_HTML" id="MO4"></graphic></fig></p><sec id="Sec12"><title>Hemoglobin Target Range</title><p>Mean achieved Hb in the lower and upper Hb target groups differed by 0.4 g/dL (11.2 vs 11.6; <italic>p</italic> < 0.0001) (Table <xref rid="Tab3" ref-type="table">3</xref>; Fig. <xref rid="Fig3" ref-type="fig">3</xref>). Hb fluctuations were also higher in the upper Hb group (0.46 vs 0.50; <italic>p</italic> = 0.001) (Table <xref rid="Tab3" ref-type="table">3</xref>), whereas Hb stability or dose changes did not differ significantly between target range groups. Patients with lower target Hb range required significantly lower C.E.R.A. doses than the upper Hb target subgroup (124.7 vs 136.9 µg; <italic>p</italic> < 0.001) (Table <xref rid="Tab3" ref-type="table">3</xref>). Iron status and CRP values were not significantly different in the two Hb target groups; they were slightly more favorable in the upper group (data not shown). ESA resistance index and baseline NT-proBNP were also closer to normal values in the upper target group than in the lower: median TSAT 28.8% vs 27.5% (<italic>p</italic> = 0.05); median ferritin 456.5 vs 465.0 µg/L (<italic>p</italic> = 0.43); median CRP 4.4 vs 4.7 mg/L (<italic>p</italic> = 0.22); median ESA resistance index 0.8 vs 1.4 (<italic>p</italic> < 0.001); median NT-proBNP (pg/mL) 2982 vs 4047 (<italic>p</italic> < 0.001).<table-wrap id="Tab3"><label>Table 3</label><caption><p>Efficacy comparisons between subgroups during evaluation</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left"></th><th align="left">Number of patients</th><th align="left">Hemoglobin (g/dL)</th><th align="left">Hemoglobin fluctuation (g/dL)</th><th align="left">Overall stability (%)</th><th align="left">Average monthly dose (µg)</th><th align="left">% dose changes</th><th align="left">Dose changes per patient</th></tr></thead><tbody><tr><td align="left">All</td><td char="." align="char">2060</td><td char="." align="char">11.4</td><td char="." align="char">0.48</td><td char="." align="char">78</td><td char="." align="char">131.3</td><td char="." align="char">18.0</td><td char="." align="char">0.4</td></tr><tr><td align="left">Target group L</td><td char="." align="char">935</td><td char="." align="char">11.2</td><td char="." align="char"><italic>0.46</italic></td><td char="." align="char">80</td><td char="." align="char"><italic>124.7</italic></td><td char="." align="char">19.1</td><td char="." align="char">0.4</td></tr><tr><td align="left">Target group U</td><td char="." align="char">1125</td><td char="." align="char">11.6</td><td char="." align="char"><italic>0.50</italic><sup>b</sup></td><td char="." align="char">77</td><td char="." align="char"><italic>136.9</italic><sup>b</sup></td><td char="." align="char">17.1</td><td char="." align="char">0.3</td></tr><tr><td align="left">Female</td><td char="." align="char">874</td><td char="." align="char">11.4</td><td char="." align="char">0.48</td><td char="." align="char">80</td><td char="." align="char">131.0</td><td char="." align="char">17.2</td><td char="." align="char">0.3</td></tr><tr><td align="left">Male</td><td char="." align="char">1186</td><td char="." align="char">11.5</td><td char="." align="char">0.48</td><td char="." align="char">77</td><td char="." align="char">131.6</td><td char="." align="char">18.5</td><td char="." align="char">0.4</td></tr><tr><td align="left">Age <65</td><td char="." align="char">1090</td><td char="." align="char">11.5</td><td char="." align="char"><italic>0.5</italic></td><td char="." align="char">77</td><td char="." align="char">131.5</td><td char="." align="char">18.4</td><td char="." align="char">0.4</td></tr><tr><td align="left">Age ≥65</td><td char="." align="char">932</td><td char="." align="char">11.4</td><td char="." align="char"><italic>0.45</italic><sup>a</sup></td><td char="." align="char">80</td><td char="." align="char">129.3</td><td char="." align="char">17.5</td><td char="." align="char">0.4</td></tr><tr><td align="left">NT-proBNP <5000</td><td char="." align="char">975<sup>e</sup></td><td char="." align="char">11.4</td><td char="." align="char">0.47</td><td char="." align="char">78</td><td char="." align="char"><italic>124.3</italic></td><td char="." align="char">18.1</td><td char="." align="char">0.4</td></tr><tr><td align="left">NT-proBNP ≥5000</td><td char="." align="char">624<sup>e</sup></td><td char="." align="char">11.4</td><td char="." align="char">0.49</td><td char="." align="char">80</td><td char="." align="char"><italic>138.0</italic><sup>c</sup></td><td char="." align="char">18.2</td><td char="." align="char">0.4</td></tr><tr><td align="left">No CV risk</td><td char="." align="char">283</td><td char="." align="char">11.5</td><td char="." align="char"><italic>0.51</italic></td><td char="." align="char">78</td><td char="." align="char">127.8</td><td char="." align="char">17.7</td><td char="." align="char">0.4</td></tr><tr><td align="left">Cardiac risk</td><td char="." align="char">565</td><td char="." align="char">11.4</td><td char="." align="char"><italic>0.46</italic><sup>d</sup></td><td char="." align="char">78</td><td char="." align="char">136.2</td><td char="." align="char">18.0</td><td char="." align="char">0.4</td></tr><tr><td align="left">Vascular risk</td><td char="." align="char">1675</td><td char="." align="char">11.4</td><td char="." align="char">0.48</td><td char="." align="char">79</td><td char="." align="char">132.2</td><td char="." align="char">18.1</td><td char="." align="char">0.4</td></tr><tr><td align="left">Diabetes at baseline</td><td char="." align="char">535</td><td char="." align="char">11.3</td><td char="." align="char">0.47</td><td char="." align="char">76</td><td char="." align="char">132.5</td><td char="." align="char">17.4</td><td char="." align="char">0.3</td></tr></tbody></table><table-wrap-foot><p>Italicized values indicate significant differences (<italic>p</italic> < 0.01) between subgroups: <sup>a</sup> <italic>p</italic> < 0.001; <sup>b</sup> <italic>p</italic> = 0.001; <sup>c</sup> <italic>p</italic> = 0.002; <sup>d</sup> <italic>p</italic> = 0.01</p><p><sup>e</sup>NT-proBNP was not measured for all patients</p><p><italic>CV</italic> cardiovascular, <italic>L</italic> lower, <italic>NT</italic>-<italic>proBNP</italic> N-terminal pro-B-type natriuretic peptide, <italic>U</italic> upper</p></table-wrap-foot></table-wrap><fig id="Fig3"><label>Fig. 3</label><caption><p>Mean Hb levels over time, by target Hb group. The <italic>error bars</italic> show 95% confidence intervals. In the <italic>upper</italic> (<italic>square symbols</italic>) and the <italic>lower</italic> (<italic>triangle symbols</italic>) Hb target groups, the achieved Hb levels were stable over time. <italic>Hb</italic> hemoglobin</p></caption><graphic xlink:href="12325_2016_309_Fig3_HTML" id="MO5"></graphic></fig></p></sec><sec id="Sec13"><title>Gender</title><p>All efficacy outcomes were similar across male and female subgroups (Table <xref rid="Tab3" ref-type="table">3</xref>).</p></sec><sec id="Sec14"><title>Age</title><p>Achieved Hb concentrations, Hb stability, dose changes required, or C.E.R.A. dose required were not significantly different in patients aged ≥65 years and those <65 years (Table <xref rid="Tab3" ref-type="table">3</xref>). However, Hb fluctuation values were significantly higher in patients aged <65 years (0.51 vs 0.45 g/dL; <italic>p</italic> < 0.001) (Table <xref rid="Tab3" ref-type="table">3</xref>).</p></sec><sec id="Sec15"><title>Baseline NT-proBNP Levels</title><p>Patients in the high and low NT-proBNP subgroups did not have significantly different Hb concentrations, Hb fluctuation, Hb stability or required dose changes (Table <xref rid="Tab3" ref-type="table">3</xref>). However, those in the low NT-proBNP group required significantly lower C.E.R.A. doses than those in the high group (124.3 vs 138.0 µg; <italic>p</italic> = 0.002) (Table <xref rid="Tab3" ref-type="table">3</xref>). The iron status was slightly higher in the low NT-proBNP subgroup than in the high subgroup, while CRP values and ESA resistance index were significantly lower (more favorable) in the low NT-proBNP group than in the high group (Table <xref rid="Tab4" ref-type="table">4</xref>).<table-wrap id="Tab4"><label>Table 4</label><caption><p>Median TSAT, ferritin, CRP and ESA resistance index in subgroups according to NT-proNBP levels high (>5000 ng/mL) or low (≤5000 ng/mL)</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="2">Variable</th><th align="left" colspan="2">Baseline NT-proNBP level</th><th align="left" rowspan="2"><italic>p</italic> value</th></tr><tr><th align="left">Low<break></break><italic>n</italic> = 975</th><th align="left">High<break></break><italic>n</italic> = 624</th></tr></thead><tbody><tr><td align="left">TSAT, %</td><td char="." align="char">29.8</td><td char="." align="char">28.2</td><td char="." align="char">0.05</td></tr><tr><td align="left">Ferritin, µg/L</td><td char="." align="char">430.0</td><td char="." align="char">470.0</td><td char="." align="char">0.11</td></tr><tr><td align="left">CRP, mg/L</td><td char="." align="char"><italic>4.0</italic></td><td char="." align="char"><italic>5.0</italic></td><td char="." align="char"><italic>0.003</italic></td></tr><tr><td align="left">ESA resistance index</td><td char="." align="char"><italic>1.1</italic></td><td char="." align="char"><italic>1.3</italic></td><td char="." align="char"><<italic>0.001</italic></td></tr></tbody></table><table-wrap-foot><p>Italicized values indicate significant differences (<italic>p</italic> < 0.01) between subgroups</p><p><italic>CV</italic> cardiovascular, <italic>CRP</italic> C-reactive protein, <italic>ESA</italic> erythropoiesis-stimulating agent, <italic>NT</italic>-<italic>proBNP</italic> N-terminal pro-B-type natriuretic peptide, <italic>TSAT</italic> transferrin saturation</p></table-wrap-foot></table-wrap></p></sec><sec id="Sec16"><title>Cardiovascular Risk Factors</title><p>Achieved Hb concentrations, Hb stability, required C.E.R.A. dose and dose changes were not significantly different in patients with pre-existing CV risk factors and patients with no CV risk factors (Table <xref rid="Tab3" ref-type="table">3</xref>). Hb fluctuation values were significantly different between those with pre-existing cardiac risk factors and those without CV risk factors (0.46 vs 0.51 g/dL; <italic>p</italic> = 0.01) (Table <xref rid="Tab3" ref-type="table">3</xref>). Furthermore, a trend towards lower dose requirements in the group with no CV risk factors was observed. TSAT values were slightly favorable for the no CV risk group compared with patients with diabetes, cardiac or vascular complications, whereas the opposite was seen for ferritin (Table <xref rid="Tab5" ref-type="table">5</xref>). Likewise, CRP values were lower for the no CV risk group compared with those with diabetes, cardiac or vascular complications, while a higher resistance index was seen in the no CV risk group (Table <xref rid="Tab5" ref-type="table">5</xref>). Baseline NT-proBNP levels were significantly lower in the no CV risk group compared with the other subgroups (Table <xref rid="Tab5" ref-type="table">5</xref>).<table-wrap id="Tab5"><label>Table 5</label><caption><p>Median TSAT, ferritin, CRP, ESA resistance index and NT-proNBP levels according to CV risk group</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left"></th><th align="left">No CV risk<break></break><italic>n</italic> = 283</th><th align="left">Diabetes<break></break><italic>n</italic> = 535</th><th align="left"><italic>p</italic> value</th><th align="left">Cardiac risk factors<break></break><italic>n</italic> = 565</th><th align="left"><italic>p</italic> value</th><th align="left">Vascular risk factors<break></break><italic>n</italic> = 1675</th><th align="left"><italic>p</italic> value</th></tr></thead><tbody><tr><td align="left">TSAT, %</td><td align="left"><italic>29.6</italic></td><td align="left"><italic>27.1</italic></td><td char="." align="char"><italic>0.008</italic></td><td align="left"><italic>26.5</italic></td><td char="." align="char"><<italic>0.001</italic></td><td align="left">28.1</td><td char="." align="char">0.02</td></tr><tr><td align="left">Ferritin, μg/L</td><td align="left">428.5</td><td align="left">494.0</td><td char="." align="char">0.05</td><td align="left">487.9</td><td char="." align="char">0.005</td><td align="left">465</td><td char="." align="char">0.07</td></tr><tr><td align="left">CRP, mg/L</td><td align="left">4.0</td><td align="left">5.0</td><td char="." align="char">0.1</td><td align="left">5.1</td><td char="." align="char">0.03</td><td align="left">4.6</td><td char="." align="char">0.51</td></tr><tr><td align="left">ESA resistance index</td><td align="left">1.2</td><td align="left">1.0</td><td char="." align="char">0.02</td><td align="left"><italic>0.9</italic></td><td char="." align="char"><<italic>0.001</italic></td><td align="left">1.0</td><td char="." align="char">0.04</td></tr><tr><td align="left">NT-proNBP, pg/mL</td><td align="left"><italic>2544</italic></td><td align="left"><italic>3463</italic></td><td char="." align="char"><<italic>0.001</italic></td><td align="left"><italic>5477</italic></td><td char="." align="char"><<italic>0.001</italic></td><td align="left"><italic>3753</italic></td><td char="." align="char"><<italic>0.001</italic></td></tr></tbody></table><table-wrap-foot><p>Italicized values indicate significant differences (<italic>p</italic> ≤ 0.01) between subgroups (risk group versus no CV risk)</p><p><italic>CV</italic> cardiovascular, <italic>CRP</italic> C-reactive protein, <italic>ESA</italic> erythropoiesis-stimulating agent, <italic>NT</italic>-<italic>proBNP</italic> N-terminal pro-B-type natriuretic peptide, <italic>TSAT</italic> transferrin saturation</p></table-wrap-foot></table-wrap></p></sec></sec><sec id="Sec17"><title>Safety</title><p>Overall safety results from individual studies have been reported in the respective publications and study reports. This section focusses on differences in safety outcomes between analyzed patient subgroups.</p><p>Compared with patients aged <65 years, those aged ≥65 years experienced higher incidences of AEs (59.4% vs 72.0%, <italic>p</italic> < 0.001), SAEs (20.0% vs 30.8%, <italic>p</italic> < 0.001), cardiac AEs (4.7% vs 8.7%, <italic>p</italic> < 0.001) and thromboembolic AEs (1.3% vs 3.4%, <italic>p</italic> = 0.003) (Table <xref rid="Tab6" ref-type="table">6</xref>). Patients with a baseline NT-proBNP level ≥5000 experienced higher AE incidences compared with those in the low NT-proBNP group, including all AEs (59.1% vs 65.9%, <italic>p</italic> = 0.007), SAEs (19.4% vs 27.4%, <italic>p</italic> < 0.001), cardiac AEs (3.3% vs 9.0%, <italic>p</italic> < 0.001) and serious CV AEs (2.5% vs 5.3%, <italic>p</italic> < 0.005) (Table <xref rid="Tab6" ref-type="table">6</xref>). Overall, patients with pre-existing risk factors also experienced higher AE incidences compared with patients with no CV risk factors (Table <xref rid="Tab6" ref-type="table">6</xref>).<table-wrap id="Tab6"><label>Table 6</label><caption><p>Safety outcomes</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left"></th><th align="left">Number of patients</th><th align="left">Any AE (%)</th><th align="left">Any SAE (%)</th><th align="left">Cardiac AE (%)</th><th align="left">Serious CV-AE (%)</th><th align="left">Thromboembolic AE (%)</th><th align="left">Hypertensive AE (%)</th><th align="left">Vascular AE (%)</th></tr></thead><tbody><tr><td align="left">All</td><td char="." align="char">2060</td><td char="." align="char">65</td><td char="." align="char">24.9</td><td char="." align="char">6.5</td><td char="." align="char">3.9</td><td char="." align="char">2.9</td><td char="." align="char">7.7</td><td char="." align="char">1.6</td></tr><tr><td align="left">Target Group L</td><td char="." align="char">935</td><td char="." align="char">66.5</td><td char="." align="char">24.9</td><td char="." align="char">5.9</td><td char="." align="char">4.2</td><td char="." align="char">2.9</td><td char="." align="char">8.1</td><td char="." align="char">2.3</td></tr><tr><td align="left">Target Group U</td><td char="." align="char">1125</td><td char="." align="char">63.7</td><td char="." align="char">22.4</td><td char="." align="char">6.9</td><td char="." align="char">3.7</td><td char="." align="char">2.9</td><td char="." align="char">7.3</td><td char="." align="char">1.1</td></tr><tr><td align="left">Female</td><td char="." align="char">874</td><td char="." align="char">66.1</td><td char="." align="char">25.7</td><td char="." align="char">5.8</td><td char="." align="char">3.7</td><td char="." align="char">2.7</td><td char="." align="char">7.9</td><td char="." align="char">1.8</td></tr><tr><td align="left">Male</td><td char="." align="char">1186</td><td char="." align="char">64.2</td><td char="." align="char">24.2</td><td char="." align="char">6.9</td><td char="." align="char">4.1</td><td char="." align="char">3.0</td><td char="." align="char">7.5</td><td char="." align="char">1.4</td></tr><tr><td align="left">Age <65</td><td char="." align="char">1090</td><td char="." align="char"><italic>59.4</italic></td><td char="." align="char"><italic>20.0</italic></td><td char="." align="char"><italic>4.7</italic></td><td char="." align="char">3.5</td><td char="." align="char"><italic>1.3</italic></td><td char="." align="char">7.7</td><td char="." align="char">1.6</td></tr><tr><td align="left">Age ≥65</td><td char="." align="char">932</td><td char="." align="char"><italic>72.0</italic><sup>a</sup></td><td char="." align="char"><italic>30.8</italic><sup>a</sup></td><td char="." align="char"><italic>8.7</italic><sup>a</sup></td><td char="." align="char">4.4</td><td char="." align="char"><italic>3.4</italic><sup>b</sup></td><td char="." align="char">7.6</td><td char="." align="char">1.6</td></tr><tr><td align="left">NT-proBNP <5000</td><td char="." align="char">975<sup>f</sup></td><td char="." align="char"><italic>59.1</italic></td><td char="." align="char"><italic>19.4</italic></td><td char="." align="char"><italic>3.3</italic></td><td char="." align="char"><italic>2.5</italic></td><td char="." align="char">2.5</td><td char="." align="char">6.9</td><td char="." align="char">1.1</td></tr><tr><td align="left">NT-proBNP ≥5000</td><td char="." align="char">624<sup>f</sup></td><td char="." align="char"><italic>65.9</italic><sup>d</sup></td><td char="." align="char"><italic>27.4</italic><sup>a</sup></td><td char="." align="char"><italic>9.0</italic><sup>a</sup></td><td char="." align="char"><italic>5.3</italic><sup>c</sup></td><td char="." align="char">3.0</td><td char="." align="char">9.6</td><td char="." align="char">2.2</td></tr><tr><td align="left">No CV risk</td><td char="." align="char">283</td><td char="." align="char"><italic>45.9</italic></td><td char="." align="char"><italic>17.0</italic></td><td char="." align="char"><italic>2.1</italic></td><td char="." align="char"><italic>1.4</italic></td><td char="." align="char"><italic>2.5</italic></td><td char="." align="char"><italic>2.8</italic></td><td char="." align="char"><italic>0.0</italic></td></tr><tr><td align="left"> Cardiac risk</td><td char="." align="char">565</td><td char="." align="char"><italic>71.7</italic><sup>e</sup></td><td char="." align="char"><italic>34.4</italic><sup>e</sup></td><td char="." align="char"><italic>11.0</italic><sup>e</sup></td><td char="." align="char"><italic>6.2</italic><sup>e</sup></td><td char="." align="char"><italic>4.4</italic><sup>e</sup></td><td char="." align="char"><italic>8.9</italic><sup>e</sup></td><td char="." align="char"><italic>2.5</italic><sup>e</sup></td></tr><tr><td align="left"> Vascular risk</td><td char="." align="char">1675</td><td char="." align="char"><italic>64.3</italic><sup>e</sup></td><td char="." align="char"><italic>26.4</italic><sup>e</sup></td><td char="." align="char"><italic>7.1</italic><sup>e</sup></td><td char="." align="char"><italic>4.5</italic><sup>e</sup></td><td char="." align="char"><italic>2.9</italic><sup>e</sup></td><td char="." align="char"><italic>8.7</italic><sup>e</sup></td><td char="." align="char">2.0</td></tr><tr><td align="left"> Diabetes at baseline</td><td char="." align="char">535</td><td char="." align="char"><italic>71.2</italic><sup>e</sup></td><td char="." align="char"><italic>33.6</italic><sup>e</sup></td><td char="." align="char"><italic>7.3</italic><sup>e</sup></td><td char="." align="char"><italic>5.4</italic><sup>e</sup></td><td char="." align="char"><italic>5.4</italic><sup>e</sup></td><td char="." align="char"><italic>6.4</italic><sup>e</sup></td><td char="." align="char">2.1</td></tr></tbody></table><table-wrap-foot><p>Italicized values represent differences (<italic>p</italic> < 0.01) between subgroups: <sup>a</sup> <italic>p</italic> < 0.001; <sup>b</sup> <italic>p</italic> < 0.003; <sup>c</sup> <italic>p</italic> < 0.005; <sup>d</sup> <italic>p</italic> = 0.007; <sup>e</sup> <italic>p</italic> < 0.01. For cardiac risk, vascular risk and diabetes at baseline the comparison is with no CV risk</p><p><sup>f</sup>NT-proBNP was not measured for all patients</p><p><italic>AE</italic> adverse event, <italic>CV</italic> cardiovascular, <italic>L</italic> lower, <italic>NT</italic>-<italic>proBNP</italic> N-terminal pro-B-type natriuretic peptide, <italic>SAE</italic> serious AE, <italic>U</italic> upper</p></table-wrap-foot></table-wrap></p><p>In the two highest C.E.R.A. dose quintiles, and in the two lowest Hb quintiles, a slight increase in the rate of cardiac AEs was observed (Fig. <xref rid="Fig4" ref-type="fig">4</xref>). In the highest dose group, the percentage of patients experiencing serious CV AEs (6.3%), thromboembolic AEs (5.1%), and vascular AEs (2.4%) was higher than in all other dose quintiles. Contrastingly, similar frequencies of serious CV, thromboembolic and vascular AEs were recorded across the first four Hb quintiles, and lowest values were observed in the fifth quintile; thus, there was no relationship between Hb level and rate of CV AEs. Finally, high CRP levels appear to be associated with increased serious, thromboembolic and vascular AEs: thromboembolic AEs occurred in 5.0% of patients in the two highest quintiles compared with 3.2% in the other quintiles, with a similar pattern seen for serious AEs (3.9% vs 2.2%) and vascular AEs (2.3% vs 1.1%).<fig id="Fig4"><label>Fig. 4</label><caption><p>Percentage of patients with CV AEs per dose, Hb and CRP quintile. The proportion of patients experiencing cardiac, serious CV, thromboembolic, and vascular AEs is shown by quintiles of Hb, C.E.R.A. dose and CRP. <italic>AE</italic> adverse event, <italic>C.E.R.A.</italic> continuous erythropoietin receptor activator, <italic>CRP</italic> C-reactive protein, <italic>CV</italic> cardiovascular, <italic>Hb</italic> hemoglobin</p></caption><graphic xlink:href="12325_2016_309_Fig4_HTML" id="MO6"></graphic></fig></p></sec></sec><sec id="Sec18"><title>Discussion</title><p>This retrospective analysis of 13 trials included in the Phase III C.E.R.A. clinical program evaluated the efficacy and safety of C.E.R.A. in clinically relevant patient subgroups of patients with CKD on hemodialysis, confirming and extending the findings of an earlier poster presentation of some of these subgroups [<xref ref-type="bibr" rid="CR22">22</xref>] and an earlier pooled analysis of safety in both dialysis and non-dialysis patients, which concluded that C.E.R.A. showed an overall safety profile comparable with other ESAs [<xref ref-type="bibr" rid="CR21">21</xref>]. In the current analysis, C.E.R.A. QM maintained stable Hb concentrations uniformly across all subgroups considered, including those with elevated risk profiles.</p><p>The Phase III program included numerous trials of similar design, allowing pooled analysis of results, but the limitations of such an approach should be recognized. All of the analyses were of single arms without a comparator group. While the trials were designed within the same framework as part of an umbrella program, they were performed in different countries and were by no means identical. The post hoc nature of the analysis is also an important limitation, as comparisons were neither pre-planned nor suitably powered to determine significant efficacy and safety differences between subgroups.</p><p>Most significant differences between subgroups were numerically small and may not be clinically relevant. The proportion of patients demonstrating Hb stability was similar across all subgroups, with the lowest value (76%) in patients with diabetes. Mean Hb fluctuations were around 0.5 g/dL across all subgroups, independent of Hb target, gender and pre-existing CV risk factors.</p><p>The favorable efficacy, safety and tolerability profile of C.E.R.A. in the general CKD population had been reported previously [<xref ref-type="bibr" rid="CR7">7</xref>–<xref ref-type="bibr" rid="CR12">12</xref>, <xref ref-type="bibr" rid="CR15">15</xref>, <xref ref-type="bibr" rid="CR16">16</xref>]. The impact of low Hb on mortality and CV morbidity was demonstrated in retrospective analyses of nine Phase III, randomized, controlled trials involving 3405 patients with anemic CKD treated with C.E.R.A. [<xref ref-type="bibr" rid="CR23">23</xref>]. In these analyses, average Hb level <10 g/dL, decrease from stable baseline Hb >1 g/dL, last Hb level <10 g/dL, Hb decline >1.5 g/dL/4 weeks and increased Hb variability were associated with a higher risk of the composite endpoint and all-cause mortality.</p><p>In our analysis, despite stable Hb maintenance across patient subgroups, there were notable differences in the C.E.R.A. dose required. As expected, patients in the upper Hb target group required higher doses than those in the lower target group; however, the mean value required for the upper Hb target group (136.9 µg) was relatively low despite the difference being statistically significant. Iron status, CRP, NT-proBNP and ESA resistance index were comparable between subgroups or closer to adequate in the upper target group than the lower, suggesting that dose requirement differences were due to varying target ranges rather than deficiency in ESA-response background variables. The higher doses needed in the high NT-proBNP group compared with the low subgroup may be due to volume overload, hemodilution or underlying diseases such as chronic cardiac congestive failure [<xref ref-type="bibr" rid="CR24">24</xref>, <xref ref-type="bibr" rid="CR25">25</xref>]. Indeed, high NT-proBNP levels are thought to result from the inflammatory process consequent to cardiac diseases and impaired renal function [<xref ref-type="bibr" rid="CR25">25</xref>]. Iron status was comparable between the two NT-proBNP groups; however, CRP and ESA resistance index were slightly lower in the low group. Whether these differences can explain the variation in required dose in the two subgroups is uncertain: chronic cardiac congestive failure would not correlate strongly with CRP or iron status. Notably, the proportion of C.E.R.A. dose modifications required was low to moderate across all subgroups.</p><p>We acknowledge that caution should be taken when interpreting statistically significant figures that lack clinical plausibility. Likewise, non-significant differences do not provide categorical proof that no difference exists between subgroups. For example, the non-significant trend towards lower dose requirements in no-CV risk patients is supported by elevated NT-proBNP levels in patients with pre-existing CV risk factors, reinforcing the observation that NT-proBNP levels may be predictive for higher C.E.R.A. dose requirements.</p><p>Safety outcomes were as expected across subgroups. Neither Hb target range nor gender influenced the incidence of AEs; however, all AEs, SAEs, cardiac AEs and serious CV AEs were significantly higher in patients with underlying risk factors (older age, high NT-proBNP or pre-existing CV risk factors) compared with their lower risk counterparts. Non-significant differences in the incidences of thromboembolic and vascular AEs were also observed between subgroups. Observations in the NT-proBNP subgroups are supported by a recent analysis in end-stage renal disease patients on dialysis, where high baseline NT-proBNP levels predicted higher incidences of cardiac and CV endpoints (5000 ng/mL) [<xref ref-type="bibr" rid="CR17">17</xref>]. Moreover, elevated NT-proBNP levels have been revealed as an independent mortality predictor in incident hemodialysis patients [<xref ref-type="bibr" rid="CR25">25</xref>]. While baseline NT-proBNP level was not predictive for hypertensive AEs, pre-existing CV risk factors were. Overall, the increase in CV AEs experienced with pre-existing CV risk factors suggests AEs were not related to C.E.R.A. administration.</p><p>CV AEs of interest were analyzed by quintiles of Hb, C.E.R.A. dose and CRP. A slight increase in AE rates was observed in the quintiles with lowest Hb levels and highest doses. These findings agree with previous observations and clinical guidelines that recommend conservative Hb targets (10–12 g/dL), individualized for each patient’s comorbidities. If ESA therapy is used in patients hyporesponsive to ESA treatment, aiming towards the lower Hb levels of the target range is recommended [<xref ref-type="bibr" rid="CR3">3</xref>, <xref ref-type="bibr" rid="CR26">26</xref>].</p><p>Furthermore, our data showed that chronic elevation of CRP levels was associated with increased thromboembolic and vascular AEs. This agrees with previous observations that suggest CRP—a marker of inflammation—constitutes an independent risk factor for CV disease [<xref ref-type="bibr" rid="CR27">27</xref>]. Caution should be used in patients hyporesponsive to ESA treatment having high CRP levels or in those with specific risk factors (especially diabetics) or conditions such as symptomatic limb arteriopathy, stroke or non-symptomatic ischemic heart disease, or cancer [<xref ref-type="bibr" rid="CR27">27</xref>].</p></sec><sec id="Sec19"><title>Conclusion</title><p>C.E.R.A. QM maintained stable Hb concentrations with moderate fluctuations across subgroups of patients with chronic renal anemia on dialysis switching from maintenance therapy with shorter-acting ESAs, including those with underlying risk factors. Differences in required C.E.R.A. doses were observed between patients with upper and lower Hb target levels, and with high and low baseline NT-proBNP levels. The safety profile across subgroups was as expected based on pre-existing risk factors; any increases in AEs were related to underlying risk factors rather than to the study drug.</p></sec><sec sec-type="supplementary-material"><title>Electronic supplementary material</title><sec id="Sec20"><p>Below is the link to the electronic supplementary material.
<supplementary-material content-type="local-data" id="MOESM1"><media xlink:href="12325_2016_309_MOESM1_ESM.docx"><caption><p>Supplementary material 1 (DOCX 20 kb)</p></caption></media></supplementary-material></p></sec></sec></body><back><fn-group><fn><p><bold>Enhanced content</bold></p><p>To view enhanced content for this article go to <ext-link ext-link-type="uri" xlink:href="http://www.medengine.com/Redeem/C844F0600C480B6E">http://www.medengine.com/Redeem/C844F0600C480B6E</ext-link>.</p></fn></fn-group><ack><p>Sponsorship for the studies in this analysis and article processing charges were funded by F. Hoffmann-La Roche Ltd, Basel, Switzerland. All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this manuscript, take responsibility for the integrity of the work as a whole, and have given final approval to the version to be published. The authors would like to thank Milena Studer, International Scientific Director Mature Products, F. Hoffmann-La Roche Ltd, for critical review of the manuscript. We would also like to acknowledge the editorial assistance provided by the Fishawack Group of Companies and Health Interactions which was supported by F. Hoffmann-La Roche Ltd, Basel, Switzerland.</p><sec id="FPar1"><title>Disclosures</title><p>FL is or was a member of an advisory board and/or speaker at meetings supported with unrestricted grants by AbbVie, Akebia, Amgen, Astellas, Fibrogen, Genzyme, GSK, Janssen, Keryx, MCI, Pharmacosmos, Roche, Takeda, Vifor-Fresenius Pharma, and Z-pharma. GC has received fees as a speaker in meetings sponsored by Roche, Amgen, Novartis, Genzyme; his institution received research grants from Roche and Novartis in the past 5 years. MT and AW are Roche employees. DF has received grant/research support from Janssen-Cilag and Roche Pharma; consultant/advisor fees from Amgen, Janssen-Cilag, Roche Pharma, and Vifor; speakers’ bureau fees from Amgen, Roche Pharma, and Vifor.</p></sec><sec id="FPar2"><title>Compliance and Ethics Guidelines</title><p>All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1964, as revised in 2013. Informed consent was obtained from all patients for being included in the study. Data analyzed in this manuscript are from previously published studies.</p></sec><sec id="d30e3162"><title>Open Access</title><p>This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/">http://creativecommons.org/licenses/by-nc/4.0/</ext-link>), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.</p></sec></ack><ref-list id="Bib1"><title>References</title><ref id="CR1"><label>1.</label><element-citation publication-type="journal"><person-group 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