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Haider T, Diaz V, Albert J, Alvarez-Sanchez M, Thiersch M, Maggiorini M, Hilty MP, Spengler CM, Gassmann M. A Single 60.000 IU Dose of Erythropoietin Does Not Improve Short-Term Aerobic Exercise Performance in Healthy Subjects: A Randomized, Double-Blind, Placebo-Controlled Crossover Trial. Front Physiol 2020; 11:537389. [PMID: 33117187 PMCID: PMC7550763 DOI: 10.3389/fphys.2020.537389] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Accepted: 08/26/2020] [Indexed: 01/13/2023] Open
Abstract
Erythropoietin (EPO) boosts exercise performance through increase in oxygen transport capacity following regular administration of EPO but preclinical study results suggest that single high dose of EPO also may improve exercise capacity. Twenty-nine healthy subjects (14 males/15 females; age: 25 ± 3 years) were included in a randomized, double-blind, placebo-controlled crossover study to assess peak work load and cardiopulmonary variables during submaximal and maximal cycling tests following a single dose of 60.000 IU of recombinant erythropoietin (EPO) or placebo (PLA). Submaximal exercise at 40%/60% of peak work load revealed no main effect of EPO on oxygen uptake (27.9 ± 8.7 ml min–1⋅kg–1/ 37.1 ± 13.2 ml min–1⋅kg–1) versus PLA (25.2 ± 3.7 ml min–1⋅kg–1/ 33.1 ± 5.3 ml min–1⋅kg–1) condition (p = 0.447/p = 0.756). During maximal exercise peak work load (PLA: 3.5 ± 0.6 W⋅kg–1 vs. EPO: 3.5 ± 0.6 W kg–1, p = 0.892) and peak oxygen uptake (PLA: 45.1 ± 10.4 ml⋅min–1 kg–1 vs. EPO: 46.1 ± 14.2 ml⋅min–1 kg–1, p = 0.344) reached comparable values in the two treatment conditions. Other cardiopulmonary variables (ventilation, cardiac output, heart rate) also reached similar levels in the two treatment conditions. An interaction effect was found between treatment condition and sex resulting in higher peak oxygen consumption (p = 0.048) and ventilation (p = 0.044) in EPO-treated males. In conclusion, in a carefully conducted study using placebo-controlled design the present data failed to support the hypothesis that a single high dose of EPO has a measurable impact on work capacity in healthy subjects.
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Affiliation(s)
- Thomas Haider
- Institute for Veterinary Physiology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.,Zurich Center for Integrative Human Physiology (ZIHP), Zurich, Switzerland.,Department of Cardiology, University Hospital Zürich, Zurich, Switzerland
| | - Victor Diaz
- Institute for Veterinary Physiology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | - Jamie Albert
- Institute of Human Movement Science and Sport, ETH Zürich, Zurich, Switzerland
| | - Maria Alvarez-Sanchez
- Institute for Veterinary Physiology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | - Markus Thiersch
- Institute for Veterinary Physiology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | - Marco Maggiorini
- Institute of Intensive Care Medicine, University Hospital of Zürich, Zurich, Switzerland
| | - Matthias P Hilty
- Institute of Intensive Care Medicine, University Hospital of Zürich, Zurich, Switzerland
| | - Christina M Spengler
- Zurich Center for Integrative Human Physiology (ZIHP), Zurich, Switzerland.,Institute of Human Movement Science and Sport, ETH Zürich, Zurich, Switzerland
| | - Max Gassmann
- Institute for Veterinary Physiology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.,Zurich Center for Integrative Human Physiology (ZIHP), Zurich, Switzerland
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Zhang X, Lei Y, Hu T, Wu Y, Li Z, Jiang Z, Yang C, Zhang L, You Q. Discovery of Clinical Candidate (5-(3-(4-Chlorophenoxy)prop-1-yn-1-yl)-3-hydroxypicolinoyl)glycine, an Orally Bioavailable Prolyl Hydroxylase Inhibitor for the Treatment of Anemia. J Med Chem 2020; 63:10045-10060. [DOI: 10.1021/acs.jmedchem.0c01161] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Xiaojin Zhang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Chemistry, China Pharmaceutical University, Nanjing 211198, China
| | - Yonghua Lei
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, China Pharmaceutical University, Nanjing 211198, China
| | - Tianhan Hu
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, China Pharmaceutical University, Nanjing 211198, China
| | - Yue Wu
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, China Pharmaceutical University, Nanjing 211198, China
| | - Zhihong Li
- Department of Chemistry, China Pharmaceutical University, Nanjing 211198, China
| | - Zhensheng Jiang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, China Pharmaceutical University, Nanjing 211198, China
| | - Changyong Yang
- Shanghai Hengrui Pharmaceutical Co., Ltd., Shanghai 200245, China
| | - Lianshan Zhang
- Shanghai Hengrui Pharmaceutical Co., Ltd., Shanghai 200245, China
| | - Qidong You
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, China Pharmaceutical University, Nanjing 211198, China
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Reeh M, Ghadban T, Dedow J, Vettorazzi E, Uzunoglu FG, Nentwich M, Kluge S, Izbicki JR, Vashist YK. Allogenic Blood Transfusion is Associated with Poor Perioperative and Long-Term Outcome in Esophageal Cancer. World J Surg 2017; 41:208-215. [PMID: 27730355 DOI: 10.1007/s00268-016-3730-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Esophageal resection for cancer (EC) is still associated with considerable mortality and morbidity rates. Allogenic blood transfusion (aBT) is associated with poor short-term and long-term outcome in surgical oncology. We aimed to evaluate the effect of aBT in a homogeneous population of EC patients undergoing esophagectomy without perioperative treatment. METHODS We analyzed 565 esophagectomies performed due to EC. Allogenic blood transfusion was correlated to clinicopathological parameters, perioperative mortality and morbidity as well as the long-term outcome. Results are presented as adjusted odds ratio (OR) or hazard ratio (HR) with 95 % confidence interval (95 % CI). RESULTS Patients receiving aBT (aBT(+)) had no higher tumor stages or higher rates of lymph node metastasis (P = 0.65 and 0.17, respectively) compared to patients without aBT (aBT(-)). Allogenic blood transfusion was strongly associated with perioperative morbidity (OR 1.9, 95 % CI 1.1-3.5, P = 0.02) and mortality (OR 2.9, 95 % CI 1.0-8.6, P = 0.04). Tumor recurrence rate was significantly higher in aBT(+) patients (P = 0.001). The disease-free and overall survival were significantly longer in aBT(-) compared to aBT(+) patients (P = 0.016 and <0.001, respectively). Patients receiving aBT had almost doubled risk for tumor recurrence (HR 1.8, 95 % CI 1.2-2.5, P = 0.001) and death (HR 2.2, 95 % CI 1.5-3.2, P < 0.001). CONCLUSION Allogenic blood transfusion has a significant impact on the natural course of EC after complete resection. The poor short-term and long-term outcome warrants further evaluation of the underlying molecular mechanisms induced by allogenic blood transfusion in cancer patients.
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Affiliation(s)
- Matthias Reeh
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
| | - Tarik Ghadban
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Josephine Dedow
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Eik Vettorazzi
- Department of Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Faik G Uzunoglu
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Michael Nentwich
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Stefan Kluge
- Department of Intensive Care, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Jakob R Izbicki
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Yogesh K Vashist
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
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Crathorne L, Huxley N, Haasova M, Snowsill T, Jones-Hughes T, Hoyle M, Briscoe S, Coelho H, Long L, Medina-Lara A, Mujica-Mota R, Napier M, Hyde C. The effectiveness and cost-effectiveness of erythropoiesis-stimulating agents (epoetin and darbepoetin) for treating cancer treatment-induced anaemia (including review of technology appraisal no. 142): a systematic review and economic model. Health Technol Assess 2016; 20:1-588, v-vi. [PMID: 26907163 DOI: 10.3310/hta20130] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Anaemia is a common side effect of cancer treatments and can lead to a reduction in quality of life. Erythropoiesis-stimulating agents (ESAs) are licensed for use in conjunction with red blood cell transfusions to improve cancer treatment-induced anaemia (CIA). OBJECTIVE To investigate the effectiveness and cost-effectiveness of ESAs in anaemia associated with cancer treatment (specifically chemotherapy). DATA SOURCES The following databases were searched from 2004 to 2013: The Cochrane Library, MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, EMBASE, Web of Science, Cumulative Index to Nursing and Allied Health Literature, British Nursing Index, Health Management Information Consortium, Current Controlled Trials and ClinicalTrials.gov. The US Food and Drug Administration and European Medicines Agency websites were also searched. Bibliographies of included papers were scrutinised for further potentially includable studies. REVIEW METHODS The clinical effectiveness review followed principles published by the NHS Centre for Reviews and Dissemination. Randomised controlled trials (RCTs), or systematic reviews of RCTs, of ESAs (epoetin or darbepoetin) for treating people with CIA were eligible for inclusion in the review. Comparators were best supportive care, placebo or other ESAs. Anaemia- and malignancy-related outcomes, health-related quality of life (HRQoL) and adverse events (AEs) were evaluated. When appropriate, data were pooled using meta-analysis. An empirical health economic model was developed comparing ESA treatment with no ESA treatment. The model comprised two components: one evaluating short-term costs and quality-adjusted life-years (QALYs) (while patients are anaemic) and one evaluating long-term QALYs. Costs and benefits were discounted at 3.5% per annum. Probabilistic and univariate deterministic sensitivity analyses were performed. RESULTS Of 1457 titles and abstracts screened, 23 studies assessing ESAs within their licensed indication (based on start dose administered) were included in the review. None of the RCTs were completely aligned with current European Union licenses. The results suggest a clinical benefit from ESAs for anaemia-related outcomes and an improvement in HRQoL scores. The impact of ESAs on AEs and survival remains highly uncertain, although point estimates are lower, confidence intervals are wide and not statistically significant. Base-case incremental cost-effectiveness ratios (ICERs) for ESA treatment compared with no ESA treatment ranged from £ 19,429 to £ 35,018 per QALY gained, but sensitivity and scenario analyses demonstrate considerable uncertainty in these ICERs, including the possibility of overall health disbenefit. All ICERs were sensitive to survival and cost. LIMITATIONS The relative effectiveness of ESAs was not addressed; all ESAs were assumed to have equivalent efficacy. No studies were completely aligned with their European labelling beyond the starting dose evaluated. There is questionable generalisability given that the included trials were published >20 years ago and there have been many changes to chemotherapy as well as to the quality of supportive treatment. Trial quality was moderate or poor and there was considerable unexplained heterogeneity for a number of outcomes, particularly survival, and evidence of publication bias. Adjustments were not made to account for multiple testing. CONCLUSIONS ESAs could be cost-effective when used closer to licence, but there is considerable uncertainty, mainly because of unknown impacts on overall survival. STUDY REGISTRATION This study is registered as PROSPERO CRD42013005812. FUNDING The National Institute for Health Research Health Technology Assessment programme.
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Affiliation(s)
- Louise Crathorne
- Peninsula Technology Assessment Group (PenTAG), University of Exeter Medical School, Exeter, UK
| | - Nicola Huxley
- Peninsula Technology Assessment Group (PenTAG), University of Exeter Medical School, Exeter, UK
| | - Marcela Haasova
- Peninsula Technology Assessment Group (PenTAG), University of Exeter Medical School, Exeter, UK
| | - Tristan Snowsill
- Peninsula Technology Assessment Group (PenTAG), University of Exeter Medical School, Exeter, UK
| | - Tracey Jones-Hughes
- Peninsula Technology Assessment Group (PenTAG), University of Exeter Medical School, Exeter, UK
| | - Martin Hoyle
- Peninsula Technology Assessment Group (PenTAG), University of Exeter Medical School, Exeter, UK
| | - Simon Briscoe
- Peninsula Technology Assessment Group (PenTAG), University of Exeter Medical School, Exeter, UK
| | - Helen Coelho
- Peninsula Technology Assessment Group (PenTAG), University of Exeter Medical School, Exeter, UK
| | - Linda Long
- Peninsula Technology Assessment Group (PenTAG), University of Exeter Medical School, Exeter, UK
| | | | - Ruben Mujica-Mota
- Peninsula Technology Assessment Group (PenTAG), University of Exeter Medical School, Exeter, UK
| | | | - Chris Hyde
- Peninsula Technology Assessment Group (PenTAG), University of Exeter Medical School, Exeter, UK
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Tiotiu A, Clément-Duchêne C, Martinet Y. [Management of chemotherapy-induced anemia in lung cancer]. Rev Mal Respir 2015; 32:809-21. [PMID: 26051503 DOI: 10.1016/j.rmr.2014.10.734] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2014] [Accepted: 10/19/2014] [Indexed: 11/26/2022]
Abstract
INTRODUCTION The prevalence of chemotherapy-induced anemia in lung cancer is estimated at about 80%. STATE OF ART There are currently no specific recommendations for the management of chemotherapy-induced anemia in lung cancer. In this paper, we propose a synthesis of currently existing data in the literature on the management of chemotherapy-induced anemia in general, supplemented with specific data about the efficacy and safety of erythropoietic therapy in lung cancer. PERSPECTIVES Better management of chemotherapy-induced anemia improves patient's quality of life and reduces red blood cell transfusion requirement. In the meantime, in respect to currently missing data, thoracic oncologists should develop specific recommendations for the management of chemotherapy-induced anemia in lung cancer, with specific studies in this domain. CONCLUSIONS Since the prevalence of chemotherapy-induced anemia in patients with lung cancer is high and has a significant impact on these patients quality of life, a specific prospective management should be implemented as early as possible.
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Affiliation(s)
- A Tiotiu
- Département de pneumologie, CHU de Nancy, 9, rue du Morvan, 54500 Vandœuvre-lès-Nancy, France.
| | - C Clément-Duchêne
- Département de pneumologie, CHU de Nancy, 9, rue du Morvan, 54500 Vandœuvre-lès-Nancy, France
| | - Y Martinet
- Département de pneumologie, CHU de Nancy, 9, rue du Morvan, 54500 Vandœuvre-lès-Nancy, France
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6
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Aapro M, Cornes P, Sun D, Abraham I. Comparative cost efficiency across the European G5 countries of originators and a biosimilar erythropoiesis-stimulating agent to manage chemotherapy-induced anemia in patients with cancer. Ther Adv Med Oncol 2012; 4:95-105. [PMID: 22590483 DOI: 10.1177/1758834012444499] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
OBJECTIVES To evaluate the comparative cost efficiency across the European Union G5 countries of the erythropoiesis-stimulating agents (ESAs) epoetin α (originator [Eprex®] and biosimilar [Binocrit®]; once weekly), epoetin β (NeoRecormon®; once weekly), and darbepoetin α (Aranesp®; once weekly or once every 3 weeks) under different scenarios of fixed and weight-based dosing in the management of chemotherapy-induced anemia. METHODS Direct costs of ESA treatment were calculated for one patient with cancer undergoing chemotherapy (six cycles at 3-week intervals) with ESA initiated at week 4 and continued for 15 weeks. Five scenarios were developed under fixed and weight-based dosing: continuous standard dose for 15 weeks; sustained dose escalation to 1.5× or double the standard dose at week 7, continued for 12 weeks; and discontinued dose escalation to 1.5× or double the standard dose at week 7 for a 3-week period, then 9 weeks of standard dose. RESULTS Under fixed dosing, the average cost of biosimilar epoetin α treatment across scenarios was €4643 (30,000 IU) or €6178 (40,000 IU). Corresponding estimates were €7168 for originator epoetin α, €7389 for epoetin β, €8299 for darbepoetin α once weekly, and €9221 for darbepoetin α once every 3 weeks. Under weight-based dosing, the average cost of biosimilar epoetin α treatment across scenarios was €4726. Corresponding estimates were €5484 for originator epoetin α, €5652 for epoetin β, and €8465 for both darbepoetin α once weekly and once every three weeks. CONCLUSION Managing chemotherapy-induced anemia with biosimilar epoetin α is consistently cost efficient over treatment with originator epoetin α, epoetin β, and darbepoetin α under both fixed and weight-based dosing scenarios.
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Affiliation(s)
- Matti Aapro
- Institut Multidisciplinaire d'Oncologie, Clinique de Genolier, Genolier, Switzerland
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7
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Vachal P, Miao S, Pierce JM, Guiadeen D, Colandrea VJ, Wyvratt MJ, Salowe SP, Sonatore LM, Milligan JA, Hajdu R, Gollapudi A, Keohane CA, Lingham RB, Mandala SM, DeMartino JA, Tong X, Wolff M, Steinhuebel D, Kieczykowski GR, Fleitz FJ, Chapman K, Athanasopoulos J, Adam G, Akyuz CD, Jena DK, Lusen JW, Meng J, Stein BD, Xia L, Sherer EC, Hale JJ. 1,3,8-Triazaspiro[4.5]decane-2,4-diones as Efficacious Pan-Inhibitors of Hypoxia-Inducible Factor Prolyl Hydroxylase 1–3 (HIF PHD1–3) for the Treatment of Anemia. J Med Chem 2012; 55:2945-59. [DOI: 10.1021/jm201542d] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Petr Vachal
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Shouwu Miao
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Joan M. Pierce
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Deodial Guiadeen
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Vincent J. Colandrea
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Matthew J. Wyvratt
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Scott P. Salowe
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Lisa M. Sonatore
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - James A. Milligan
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Richard Hajdu
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Anantha Gollapudi
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Carol A. Keohane
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Russell B. Lingham
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Suzanne M. Mandala
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Julie A. DeMartino
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Xinchun Tong
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Michael Wolff
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Dietrich Steinhuebel
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Gerard R. Kieczykowski
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Fred J. Fleitz
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Kevin Chapman
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - John Athanasopoulos
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Gregory Adam
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Can D. Akyuz
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Dhirendra K. Jena
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Jeffrey W. Lusen
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Juncai Meng
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Benjamin D. Stein
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Lei Xia
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Edward C. Sherer
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
| | - Jeffrey J. Hale
- Departments of †Medicinal Chemistry, ‡Infectious Diseases; §Immunology; ∥Drug Metabolism/Pharmacokinetics; ⊥Process Research; #Target Validation; ▽Information Technology; ○Chemistry Modeling
and Informatics. Merck Research Laboratories, Rahway, New Jersey 07065, United States
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8
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Doni L, Perin A, Manzione L, Gebbia V, Mattioli R, Speranza GB, Latini L, Iop A, Bertetto O, Ferraù F, Pugliese P, Tralongo P, Zaniboni A, Di Costanzo F. The impact of anemia on quality of life and hospitalisation in elderly cancer patients undergoing chemotherapy. Crit Rev Oncol Hematol 2010; 77:70-7. [PMID: 20483635 DOI: 10.1016/j.critrevonc.2010.04.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2009] [Revised: 03/19/2010] [Accepted: 04/08/2010] [Indexed: 11/19/2022] Open
Abstract
AIM OF THE STUDY at present, there is very little data available about the impact of anemia on elderly cancer patient's quality of life (QoL). Most of the acquired knowledge has been derived from small studies selected for primary site cancer. This observational study investigates the association between hemoglobin (Hb) level and comprehensive geriatric assessment variables: Cancer Linear Analog Scale (CLAS), Activities of Daily Living (ADL), Mini-Mental State Examination (MMSE) in elderly cancer patients undergoing chemotherapy (CT). METHODS we enrolled 586 elderly cancer patients undergoing CT who were evaluated at baseline and every 3-4 weeks for at least 12 weeks. The correlation between Hb level changes and the examined index changes were performed using Pearson correlation analysis and a multivariate analysis was performed using a logistic regression model. RESULTS both univariate and multivariate analyses at baseline showed that Hb values are related to ECOG performance status (PS), stage of disease and self-reported QoL. Hb level variation significantly correlated with CLAS and ADL changes measured at baseline and after 12 weeks. This correlation is highly significant in patients with Hb< 11g/dl. Multivariate analysis showed that Hb change of at least 1g/dl was the only independent predictor of a better quality of life, when assessed by using the CLAS and ADL questionnaire (p<0.05). Moreover the median time of hospitalisation was found to be significantly lower in patients showing higher Hb level (Hb ≥ 11g/dl) (p=0.037). CONCLUSIONS the findings of this study seem to provide adequate support for the correlation between anemia and elderly cancer patient's QoL. Interestingly, we reported an association between anemia and the length of hospitalisation in this setting of patients. However, the above results do need to be confirmed by further prospective trials.
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Affiliation(s)
- Laura Doni
- Medical Oncology Unit, AOU Careggi Hospital, Viale Pieraccini n. 17, 50139 Firenze, FI, Italy.
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9
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Shander A, Spence RK, Auerbach M. Can intravenous iron therapy meet the unmet needs created by the new restrictions on erythropoietic stimulating agents? Transfusion 2009; 50:719-32. [PMID: 19919555 DOI: 10.1111/j.1537-2995.2009.02492.x] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
In 2008, after reports of an association between erythropoietic stimulating agent (ESA) therapy and the potential for either thrombotic cardiovascular events or more rapid tumor progression in some cancers, the Food and Drug Administration changed the product labeling for ESAs, adding a black box warning as well as more restrictive indications, especially in oncology patients. In addition the Centers for Medicare and Medicaid Services has placed significant restrictions on payments for ESA therapy. These new limitations on ESA have led to increased use of transfusions in anemic cancer patients. This increase in allogeneic transfusions potentially will place an additional burden on the US blood supply. Although allogeneic blood transfusion is one answer to ESA restrictions, the use of intravenous iron therapy (IV iron) is another possible alternative. We will discuss the use of IV iron as primary therapy for anemia, the use of combination IV iron and ESA therapy to improve efficiency and decrease costs, and evidence that IV iron with and without ESA therapy can reduce allogeneic blood transfusions in surgical patients. We will also review the available IV iron agents and their comparative safety profiles.
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Affiliation(s)
- Aryeh Shander
- Department of Anesthesiology, Critical Care and Hyperbaric Medicine, Englewood Hospital and Medical Center, Englewood, NJ, USA
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10
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Fonseca PJ, Esteban E, de Vicente P, Luque M, Llorente B, Capelán M, Berros JP, Crespo G, Lacave ÁJ. Impact of erythropoietin on the reduction of blood transfusions and on survival of lung cancer patients receiving first-line chemotherapy. Clin Transl Oncol 2008; 10:426-32. [DOI: 10.1007/s12094-008-0226-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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11
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Hedenus M, Näsman P, Liwing J. Economic evaluation in Sweden of epoetin beta with intravenous iron supplementation in anaemic patients with lymphoproliferative malignancies not receiving chemotherapy. J Clin Pharm Ther 2008; 33:365-74. [PMID: 18613854 DOI: 10.1111/j.1365-2710.2008.00924.x] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND AND OBJECTIVE Functional iron deficiency is one reason for lack of response to erythropoietin treatment. Concomitant intravenous (IV) iron supplementation has the potential to improve response to erythropoietin, allowing a decrease in erythropoietin dose requirements. In a recent study of anaemic, iron-replete patients with lymphoproliferative malignancies (Leukemia, 21, 2007, 627), the haemoglobin (Hb) increase and response rate were significantly greater in patients receiving epoetin beta with concomitant IV iron compared with patients receiving epoetin beta without IV iron (P < 0.05). The present analysis aimed to investigate whether a combination of epoetin beta and IV iron is cost-effective compared with epoetin beta without IV iron. METHODS This analysis was performed from a Swedish societal perspective as a within-trial evaluation of overall costs (based on differences in drug costs and resource use between groups) and effect (differences in Hb increases) during 16 weeks' treatment with epoetin beta with or without concomitant IV iron. RESULTS AND DISCUSSION There was an improved response to epoetin beta with IV iron therapy and an almost 2-fold greater increase in Hb levels. Overall mean cost per patient in the epoetin beta with IV iron group was euro5558 and in the epoetin beta without IV iron group was euro6228. Thus, treatment with epoetin beta with IV iron resulted in overall cost savings of about 11% compared with epoetin beta without iron, mainly due to reduced erythropoietin dosages. CONCLUSION Epoetin beta with concomitant IV iron in anaemic patients with lymphoproliferative malignancies not receiving chemotherapy resulted in better outcomes at lower cost compared with epoetin beta without iron. This suggests that epoetin beta with IV iron is a dominant therapy from a Swedish perspective.
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Affiliation(s)
- M Hedenus
- Department of Internal Medicine, Sundsvall Hospital, Sundsvall, Sweden.
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12
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de Castro J, Belda-Iniesta C, Isla D, Dómine M, Sánchez A, Batiste E, Barón MG. Early intervention with epoetin beta prevents severe anaemia in lung cancer patients receiving platinum-based chemotherapy: A subgroup analysis of the NeoPrevent study. Lung Cancer 2008; 59:211-8. [PMID: 17875340 DOI: 10.1016/j.lungcan.2007.08.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2007] [Revised: 08/02/2007] [Accepted: 08/06/2007] [Indexed: 11/26/2022]
Abstract
The NeoPrevent study showed that early intervention with epoetin beta could prevent severe anaemia in patients with solid tumours receiving platinum-based chemotherapy. An early intervention strategy may be particularly warranted in patients with lung cancer, as anaemia is very common in these patients and can be severe. The purpose of this study was to examine the efficacy and safety of epoetin beta in the subpopulation of patients with lung cancer included in the NeoPrevent study. Patients were enrolled if baseline haemoglobin (Hb) levels were <or=13 g/dl (men) or <or=12 g/dl (women), or fell to these levels during platinum-based chemotherapy. Patients received epoetin beta 150 IU/kg three times weekly, until 4 weeks after last chemotherapy cycle. The anaemia prevention response was measured as the proportion of patients with an Hb response (Hb increase of >1g/dl) plus the proportion whose Hb was maintained at +/-1g/dl of baseline. Quality of life (QoL) was measured using the linear analogue scale assessment. The NeoPrevent study included 255 patients in total, and the results for the 102 patients with lung cancer (non-small-cell lung cancer 64%; small-cell lung cancer 36%) are presented here. The overall anaemia prevention response was 90%, with Hb response in 60% of patients and maintenance of baseline Hb level in 30%. Only 9% of patients required transfusions. QoL improved significantly in patients with Hb response (p<0.01) and was maintained in non-responders (p>or=0.578). Epoetin beta was effective in preventing severe anaemia in lung cancer patients receiving platinum-based chemotherapy.
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Affiliation(s)
- Javier de Castro
- Servicio de Oncología Médica, Hospital Universitario La Paz (Madrid), Paseo de la Castellana, 261, 28046 Madrid, Spain.
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