全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Opioid Therapy Pharmacogenomics for Noncancer Pain: Efficacy, Adverse Events, and Costs

DOI: 10.1155/2013/943014

Full-Text   Cite this paper   Add to My Lib

Abstract:

Chronic non-cancer pain is a debilitating condition associated with high individual and societal costs. While opioid treatment for pain has been available for centuries, it is associated with high variability in outcome, and a considerable proportion of patients is unable to attain relief from symptoms while suffering adverse events and developing medication dependence. We performed a review of the efficacy of pharmacogenomic markers and their abilities to predict adverse events, dependence, and associated economic costs, focusing on two genes: OPRM1 and CYP2D6. Data sources were articles indexed by PubMed on or before August 6, 2013. Articles were first selected after review of their titles and abstracts, and full papers were read to confirm eligibility. Initially, fifty-two articles were identified. Of these, 17 were relevant to biological actions of pharmacogenomic markers and their effect on therapeutic efficacy, 16 to adverse events, 15 to opioid dependence, and eight to economic costs. In conclusion, increasing costs of opioid therapy have made the advances in pharmacogenomics an attractive solution to personalize care with unclear repercussions related to the impact on costs, morbidity, and outcomes. This intersection of pharmacoeconomics and pharmacogenomics presents a unique platform to further examine current advances in clinical medicine and their utility in cost-effective treatment of chronic pain. 1. Introduction Chronic noncancer pain is a debilitating condition with high individual and societal costs [1–3]. Currently, the armamentarium of medications available to physicians in the treatment of chronic pain is restricted to nonsteroidal antiinflammatory drugs (NSAIDS), acetaminophen, adjuvants, and opioids [4], with few novel pharmacologic breakthroughs in the past 2 decades [5–7]. In recent years, population-based studies have demonstrated an increasing trend in prescription uptake of opioids among noncancer patients [8, 9]. A significant proportion of prescriptions to chronic pain patients consists of opioid medications [10]. During the time period encompassing 1997 and 2008, studies from the United States (U.S.) have shown that chronic opioid use in the general population ranges between 1.3% and 4.6% [11–13]. In a survey of pain management in 16 European countries conducted in 2003, Breivik and colleagues found that 28% of survey respondents used prescription opioids [10]. The countries reporting higher percentage of opioid use were no more satisfied with their medication pain control compared to those with lower prevalence of use [10].

References

[1]  D. I. Brixner, G. M. Oderda, C. L. Roland, and D. A. Rublee, “Opioid expenditures and utilization in the medicaid system,” Journal of Pain and Palliative Care Pharmacotherapy, vol. 20, no. 1, pp. 5–13, 2006.
[2]  D. N. Guerriere, M. Choinière, D. Dion et al., “The Canadian STOP-PAIN project—part 2: what is the cost of pain for patients on waitlists of multidisciplinary pain treatment facilities?” Canadian Journal of Anesthesia, vol. 57, no. 6, pp. 549–558, 2010.
[3]  J. Steglitz, J. Buscemi, and M. J. Ferguson, “The future of pain research, education, and treatment: a summary of the IOM report ‘Relieving pain in America: a blueprint for transforming prevention, care, education, and research’,” Translational Behavioral Medicine, vol. 2, no. 1, pp. 6–8, 2012.
[4]  R. P. Jackman, J. M. Purvis, and B. S. Mallett, “Chronic nonmalignant pain in primary care,” American Family Physician, vol. 78, no. 10, pp. 1155–1164, 2008.
[5]  R. A. Dionne and J. Witter, “NIH-FDA analgesic drug development workshop: translating scientific advances into improved pain relief,” Clinical Journal of Pain, vol. 19, no. 3, pp. 139–147, 2003.
[6]  J. Witter and R. A. Dionne, “What can chronic arthritis pain teach about developing new analgesic drugs?” Arthritis Research and Therapy, vol. 6, no. 6, pp. 279–281, 2004.
[7]  C. J. Woolf, “Overcoming obstacles to developing new analgesics,” Nature Medicine, vol. 16, no. 11, pp. 1241–1247, 2010.
[8]  L. Manchikanti and A. Singh, “Therapeutic opioids: a ten-year perspective on the complexities and complications of the escalating use, abuse, and nonmedical use of opioids,” Pain Physician, vol. 11, supplement 2, pp. S63–S88, 2008.
[9]  S. M. Thielke, L. Simoni-Wastila, M. J. Edlund et al., “Age and Sex trends in long-term opioid use in two large american health systems between 2000 and 2005,” Pain Medicine, vol. 11, no. 2, pp. 248–256, 2010.
[10]  H. Breivik, B. Collett, V. Ventafridda, R. Cohen, and D. Gallacher, “Survey of chronic pain in Europe: prevalence, impact on daily life, and treatment,” European Journal of Pain, vol. 10, no. 4, pp. 287–333, 2006.
[11]  J. Parsells Kelly, S. F. Cook, D. W. Kaufman, T. Anderson, L. Rosenberg, and A. A. Mitchell, “Prevalence and characteristics of opioid use in the US adult population,” Pain, vol. 138, no. 3, pp. 507–513, 2008.
[12]  D. Boudreau, M. Von Korff, C. M. Rutter et al., “Trends in long-term opioid therapy for chronic non-cancer pain,” Pharmacoepidemiology and Drug Safety, vol. 18, no. 12, pp. 1166–1175, 2009.
[13]  H. L. Leider, J. Dhaliwal, E. J. Davis, M. Kulakodlu, and A. R. Buikema, “Healthcare costs and nonadherence among chronic opioid users,” American Journal of Managed Care, vol. 17, no. 1, pp. 32–40, 2011.
[14]  M. Choinière, D. Dion, P. Peng et al., “The Canadian STOP-PAIN project—part 1: who are the patients on the waitlists of multidisciplinary pain treatment facilities?” Canadian Journal of Anesthesia, vol. 57, no. 6, pp. 539–548, 2010.
[15]  “WHO's pain ladder for adults,” http://www.who.int/cancer/palliative/painladder/en/, 2013.
[16]  “Top therapeutic classes by U.S. spending,” http://www.imshealth.com/deployedfiles/ims/Global/Content/Corporate/Press%20Room/Top-Line%20Market%20Data%20&%20Trends/2011%20Top-line%20Market%20Data/Top_Therapy_Classes_by_Sales.pdf, 2012.
[17]  “Top therapeutic classes by U.S. dispensed prescriptions,” http://www.imshealth.com/deployedfiles/ims/Global/Content/Corporate/Press%20Room/Top-Line%20Market%20Data%20&%20Trends/2011%20Top-line%20Market%20Data/Top_Therapy_Classes_by_RX.pdf, 2012.
[18]  R. Chou, E. Clark, and M. Helfand, “Comparative efficacy and safety of long-acting oral opioids for chronic non-cancer pain: a systematic review,” Journal of Pain and Symptom Management, vol. 26, no. 5, pp. 1026–1048, 2003.
[19]  I. A. Dhalla, N. Persaud, and D. N. Juurlink, “Facing up to the prescription opioid crisis,” British Medical Journal, vol. 343, Article ID d5142, 2011.
[20]  D. N. Juurlink and I. A. Dhalla, “Dependence and addiction during chronic opioid therapy,” Journal of Medical Toxicology, vol. 8, no. 4, pp. 393–399, 2012.
[21]  K. A. Phillips, D. L. Veenstra, E. Oren, J. K. Lee, and W. Sadee, “Potential role of pharmacogenomics in reducing adverse drug reactions: a systematic review,” Journal of the American Medical Association, vol. 286, no. 18, pp. 2270–2279, 2001.
[22]  W. E. Evans and M. V. Relling, “Pharmacogenomics: translating functional genomics into rational therapeutics,” Science, vol. 286, no. 5439, pp. 487–491, 1999.
[23]  J. A. Johnson, “Drug target pharmacogenomics: an overview,” American Journal of Pharmacogenomics, vol. 1, no. 4, pp. 271–281, 2001.
[24]  J. L. Anderson, B. D. Horne, S. M. Stevens et al., “A randomized and clinical effectiveness trial comparing two pharmacogenetic algorithms and standard care for individualizing warfarin dosing (CoumaGen-II),” Circulation, vol. 125, no. 16, pp. 1997–2005, 2012.
[25]  G. R. Uhl, I. Sora, and Z. Wang, “The μ opiate receptor as a candidate gene for pain: polymorphisms, variations in expression, nociception, and opiate responses,” Proceedings of the National Academy of Sciences of the United States of America, vol. 96, no. 14, pp. 7752–7755, 1999.
[26]  C. Bond, K. S. Laforge, M. Tian et al., “Single-nucleotide polymorphism in the human mu opioid receptor gene alters β-endorphin binding and activity: possible implications for opiate addiction,” Proceedings of the National Academy of Sciences of the United States of America, vol. 95, no. 16, pp. 9608–9613, 1998.
[27]  B. Wendel and M. R. Hoehe, “The human μ opioid receptor gene: 5' Regulatory and intronic sequences,” Journal of Molecular Medicine, vol. 76, no. 7, pp. 525–532, 1998.
[28]  A. W. Bergen, J. Kokoszka, R. Peterson et al., “μ Opioid receptor gene variants: lack of association with alcohol dependence,” Molecular Psychiatry, vol. 2, no. 6, pp. 490–494, 1997.
[29]  J. J. Crowley, D. W. Oslin, A. A. Patkar et al., “A genetic association study of the mu opioid receptor and severe opioid dependence,” Psychiatric Genetics, vol. 13, no. 3, pp. 169–173, 2003.
[30]  G. Bart, M. Heilig, K. S. LaForge et al., “Substantial attributable risk related to a functional mu-opioid receptor gene polymorphism in association with heroin addiction in central Sweden,” Molecular Psychiatry, vol. 9, no. 6, pp. 547–542, 2004.
[31]  P. Klepstad, T. T. Rakv?g, S. Kaasa et al., “The 118 A > G polymorphism in the human μ-opioid receptor gene may increase morphine requirements in patients with pain caused by malignant disease,” Acta Anaesthesiologica Scandinavica, vol. 48, no. 10, pp. 1232–1239, 2004.
[32]  W.-Y. Chou, L.-C. Yang, H.-F. Lu et al., “Association of μ-opioid receptor gene polymorphism (A118G) with variations in morphine consumption for analgesia after total knee arthroplasty,” Acta Anaesthesiologica Scandinavica, vol. 50, no. 7, pp. 787–792, 2006.
[33]  W. Chou, C. Wang, P. Liu, C. Liu, C. Tseng, and B. Jawan, “Human opioid receptor A118G polymorphism affects intravenous patient-controlled analgesia morphine consumption after total abdominal hysterectomy,” Anesthesiology, vol. 105, no. 2, pp. 334–337, 2006.
[34]  L. Coulbault, M. Beaussier, C. Verstuyft et al., “Environmental and genetic factors associated with morphine response in the postoperative period,” Clinical Pharmacology and Therapeutics, vol. 79, no. 4, pp. 316–324, 2006.
[35]  T. Hirota, I. Ieiri, H. Takane et al., “Sequence variability and candidate gene analysis in two cancer patients with complex clinical outcomes during morphine therapy,” Drug Metabolism and Disposition, vol. 31, no. 5, pp. 677–680, 2003.
[36]  B. G. Oertel, R. Schmidt, A. Schneider, G. Geisslinger, and J. L?tsch, “The μ-opioid receptor gene polymorphism 118A>G depletes alfentanil-induced analgesia and protects against respiratory depression in homozygous carriers,” Pharmacogenetics and Genomics, vol. 16, no. 9, pp. 625–636, 2006.
[37]  J. L?tsch, N. Von Hentig, R. Freynhagen et al., “Cross-sectional analysis of the influence of currently known pharmacogenetic modulators on opioid therapy in outpatient pain centers,” Pharmacogenetics and Genomics, vol. 19, no. 6, pp. 429–436, 2009.
[38]  J. L?tsch, C. Skarke, J. Wieting et al., “Modulation of the central nervous effects of levomethadone by genetic polymorphisms potentially affecting its metabolism, distribution, and drug action,” Clinical Pharmacology and Therapeutics, vol. 79, no. 1, pp. 72–89, 2006.
[39]  Y. Kolesnikov, B. Gabovits, A. Levin, E. Voiko, and A. Veske, “Combined catechol-O-methyltransferase and μ-opioid receptor gene polymorphisms affect morphine postoperative analgesia and central side effects,” Anesthesia and Analgesia, vol. 112, no. 2, pp. 448–453, 2011.
[40]  A. T. Sia, Y. Lim, E. C. P. Lim et al., “A118G single nucleotide polymorphism of human μ-opioid receptor gene influences pain perception and patient-controlled intravenous morphine consumption after intrathecal morphine for postcesarean analgesia,” Anesthesiology, vol. 109, no. 3, pp. 520–526, 2008.
[41]  Y. Zhang, D. Wang, A. D. Johnson, A. C. Papp, and W. Sadée, “Allelic expression imbalance of human mu opioid receptor (OPRM1) caused by variant A118G,” The Journal of Biological Chemistry, vol. 280, no. 38, pp. 32618–32624, 2005.
[42]  R. Landau, C. Kern, M. O. Columb, R. M. Smiley, and J. Blouin, “Genetic variability of the μ-opioid receptor influences intrathecal fentanyl analgesia requirements in laboring women,” Pain, vol. 139, no. 1, pp. 5–14, 2008.
[43]  R. R. Romberg, E. Olofsen, H. Bijl et al., “Polymorphism of μ-opioid receptor gene (OPRM1:c.118A>G) does not protect against opioid-induced respiratory depression despite reduced analgesic response,” Anesthesiology, vol. 102, no. 3, pp. 522–530, 2005.
[44]  C. Walter and J. L?tsch, “Meta-analysis of the relevance of the OPRM1 118A>G genetic variant for pain treatment,” Pain, vol. 146, no. 3, pp. 270–275, 2009.
[45]  H. R. Kranzler and H. J. Edenberg, “Pharmacogenetics of alcohol and alcohol dependence treatment,” Current Pharmaceutical Design, vol. 16, no. 19, pp. 2141–2148, 2010.
[46]  M. Méndez and M. Morales-Mulia, “Role of mu and delta opioid receptors in alcohol drinking behaviour,” Current drug abuse reviews, vol. 1, no. 2, pp. 239–252, 2008.
[47]  M. Kimura and S. Higuchi, “Genetics of alcohol dependence,” Psychiatry and Clinical Neurosciences, vol. 65, no. 3, pp. 213–225, 2011.
[48]  M. Noble, J. R. Treadwell, S. J. Tregear et al., “Long-term opioid management for chronic noncancer pain,” Cochrane Database of Systematic Reviews, vol. 1, no. 1, p. CD006605, 2010.
[49]  C. Y. K. Szeto, N. L. S. Tang, D. T. S. Lee, and A. Stadlin, “Association between mu opioid receptor gene polymorphisms and Chinese heroin addicts,” NeuroReport, vol. 12, no. 6, pp. 1103–1106, 2001.
[50]  M. R. Hoehe, K. K?pke, B. Wendel et al., “Sequence variability and candidate gene analysis in complex disease: association of μ opioid receptor gene variation with substance dependence,” Human Molecular Genetics, vol. 9, no. 19, pp. 2895–2908, 2000.
[51]  E. Tan, C. Tan, U. Karupathivan, and E. P. H. Yap, “Mu opioid receptor gene polymorphisms and heroin dependence in Asian populations,” NeuroReport, vol. 14, no. 4, pp. 569–572, 2003.
[52]  P. Franke, T. Wang, M. M. Nothen et al., “Nonreplication of association between mu-opioid-receptor gene (OPRM1) A118G polymorphism and substance dependence,” American Journal of Medical Genetics, vol. 105, no. 1, pp. 114–119, 2001.
[53]  L. Diatchenko, J. Elliott Robinson, and W. Maixner, “Elucidation of mu-opioid gene structure: how genetics can help predict therapeutic response to opioids,” European Journal of Pain Supplements, vol. 5, no. 2, pp. 433–438, 2011.
[54]  E. Kadiev, V. Patel, P. Rad et al., “Role of pharmacogenetics in variable response to drugs: focus on opioids,” Expert Opinion on Drug Metabolism and Toxicology, vol. 4, no. 1, pp. 77–91, 2008.
[55]  S. Zhou, “Polymorphism of human cytochrome P450 2D6 and its clinical significance: part II,” Clinical Pharmacokinetics, vol. 48, no. 12, pp. 761–804, 2009.
[56]  “Doctors weigh alternatives to codeine to avoid overdoses in infants,” http://www.cbc.ca/news/health/story/2008/08/22/codeine-doctors.html, 2008.
[57]  P. Neafsey, G. Ginsberg, D. Hattis, and B. Sonawane, “Genetic polymorphism in cytochrome P450 2D6 (CYP2D6): population distribution of CYP2D6 activity,” Journal of Toxicology and Environmental Health B, vol. 12, no. 5-6, pp. 334–361, 2009.
[58]  U. A. Meyer, “Pharmacogenetics and adverse drug reactions,” The Lancet, vol. 356, no. 9242, pp. 1667–1671, 2000.
[59]  U. M. Stamer and F. Stuber, “Genetic factors in pain and its treatment,” Current Opinion in Anesthesiology, vol. 20, no. 5, pp. 478–484, 2007.
[60]  J. L?tsch, C. Skarke, J. Liefhold, and G. Geisslinger, “Genetic predictors of the clinical response to opioid analgesics: clinical utility and future perspectives,” Clinical Pharmacokinetics, vol. 43, no. 14, pp. 983–1013, 2004.
[61]  J. F. Rogers, A. N. Nafziger, and J. S. Bertino Jr., “Pharmacogenetics affects dosing, efficacy, and toxicity of cytochrome P450-metabolized drugs,” American Journal of Medicine, vol. 113, no. 9, pp. 746–750, 2002.
[62]  D. G. Williams, A. Patel, and R. F. Howard, “Pharmacogenetics of codeine metabolism in an urban population of children and its implications for analgesic reliability,” British Journal of Anaesthesia, vol. 89, no. 6, pp. 839–845, 2002.
[63]  U. M. Stamer, K. Lehnen, F. H?thker et al., “Impact of CYP2D6 genotype on postoperative tramadol analgesia,” Pain, vol. 105, no. 1-2, pp. 231–238, 2003.
[64]  C. F. Samer, Y. Daali, M. Wagner et al., “Genetic polymorphisms and drug interactions modulating CYP2D6 and CYP3A activities have a major effect on oxycodone analgesic efficacy and safety,” British Journal of Pharmacology, vol. 160, no. 4, pp. 919–930, 2010.
[65]  C. E. Argoff, “Clinical implications of opioid pharmacogenetics,” Clinical Journal of Pain, vol. 26, no. 10, pp. S16–S20, 2010.
[66]  Y. Gasche, Y. Daali, M. Fathi et al., “Codeine intoxication associated with ultrarapid CYP2D6 metabolism,” The New England Journal of Medicine, vol. 351, no. 27, pp. 2827–2831, 2004.
[67]  P. Voronov, H. J. Przybylo, and N. Jagannathan, “Apnea in a child after oral codeine: a genetic variant—an ultra-rapid metabolizer,” Paediatric Anaesthesia, vol. 17, no. 7, pp. 684–687, 2007.
[68]  U. M. Stamer, F. Stüber, T. Muders, and F. Musshoff, “Respiratory depression with tramadol in a patient with renal impairment and CYP2D6 gene duplication,” Anesthesia and Analgesia, vol. 107, no. 3, pp. 926–929, 2008.
[69]  G. Koren, J. Cairns, D. Chitayat, A. Gaedigk, and S. J. Leeder, “Pharmacogenetics of morphine poisoning in a breastfed neonate of a codeine-prescribed mother,” The Lancet, vol. 368, no. 9536, p. 704, 2006.
[70]  “Taking codeine while breast-feeding may harm infant,” http://health.usnews.com/health-news/family-health/pain/articles/2008/08/25/taking-codeine-while-breast-feeding-may-harm-infant, 2008.
[71]  “Use of codeine products by nursing mothers,” http://www.hc-sc.gc.ca/ahc-asc/media/advisories-avis/_2008/2008_164-eng.php, 2008.
[72]  “Use of codeine in nursing mothers—questions and answers,” http://www.fda.gov/Drugs/DrugSafety/PostmarketDrugSafetyInformationforPatientsandProviders/ucm118113.htm, 2008.
[73]  R. F. Tyndale, K. P. Droll, and E. M. Sellers, “Genetically deficient CYP2D6 metabolism provides protection against oral opiate dependence,” Pharmacogenetics, vol. 7, no. 5, pp. 375–379, 1997.
[74]  J. V. Pergolizzi, S. A. Labhsetwar, R. Amy Puenpatom, R. Ben-Joseph, R. Ohsfeldt, and K. H. Summers, “Economic impact of potential CYP450 pharmacokinetic drug-drug interactions among chronic low back pain patients taking opioids,” Pain Practice, vol. 12, no. 1, pp. 45–56, 2012.
[75]  J. V. Pergolizzi, S. A. Labhsetwar, R. A. Puenpatom, R. Ben-Joseph, R. Ohsfeldt, and K. H. Summers, “Economic impact of potential drug-drug interactions among osteoarthritis patients taking opioids,” Pain Practice, vol. 12, no. 1, pp. 33–44, 2012.
[76]  I. A. Dhalla, M. M. Mamdani, M. L. A. Sivilotti, A. Kopp, O. Qureshi, and D. N. Juurlink, “Prescribing of opioid analgesics and related mortality before and after the introduction of long-acting oxycodone,” Canadian Medical Association Journal, vol. 181, no. 12, pp. 891–896, 2009.
[77]  L. Annemans, “Pharmacoeconomic impact of adverse events of long-term opioid treatment for the management of persistent pain,” Clinical Drug Investigation, vol. 31, no. 2, pp. 73–86, 2011.
[78]  E. Kalso, J. E. Edwards, R. A. Moore, and H. J. McQuay, “Opioids in chronic non-cancer pain: systematic review of efficacy and safety,” Pain, vol. 112, no. 3, pp. 372–380, 2004.
[79]  G. M. Oderda, Q. Said, R. S. Evans et al., “Opioid-related adverse drug events in surgical hospitalizations: impact on costs and length of stay,” Annals of Pharmacotherapy, vol. 41, no. 3, pp. 400–407, 2007.
[80]  A. Frei, S. Andersen, P. Hole, and N. Jensen, “A one year health economic model comparing transdermal fentanyl with sustained-release morphine in the treatment of chronic noncancer pain,” Journal of Pain and Palliative Care Pharmacotherapy, vol. 17, no. 2, pp. 5–26, 2003.
[81]  N. D. Volkow and T. A. McLellan, “Curtailing diversion and abuse of opioid analgesics without jeopardizing pain treatment,” Journal of the American Medical Association, vol. 305, no. 13, pp. 1346–1347, 2011.
[82]  H. G. Birnbaum, A. G. White, M. Schiller, T. Waldman, J. M. Cleveland, and C. L. Roland, “Societal costs of prescription opioid abuse, dependence, and misuse in the United States,” Pain Medicine, vol. 12, no. 4, pp. 657–667, 2011.
[83]  J. A. Racoosin, D. W. Roberson, M. A. Pacanowski, and D. R. Nielsen, “New evidence about an old drug—risk with codeine after adenotonsillectomy,” The New England Journal of Medicine, vol. 368, no. 23, pp. 2155–2157, 2013.
[84]  “Dosing guidelines,” http://www.pharmgkb.org/search/browseAlpha.action?browseKey=allDrugs, 2012.
[85]  J. H. You, “Pharmacoeconomic evaluation of warfarin pharmacogenomics,” Expert Opinion on Pharmacotherapy, vol. 12, no. 3, pp. 435–441, 2011.
[86]  J. A. Johnson, B. M. Burkley, T. Y. Langaee, M. J. Clare-Salzler, T. E. Klein, and R. B. Altman, “Implementing personalized medicine: development of a cost-effective customized pharmacogenetics genotyping array,” Clinical Pharmacology & Therapeutics, vol. 92, no. 4, pp. 437–439, 2012.
[87]  M. van Riper and W. C. McKinnon, “Genetic testing for breast and ovarian cancer susceptibility: a family experience,” Journal of Midwifery and Women's Health, vol. 49, no. 3, pp. 210–219, 2004.
[88]  P. Vestergaard, L. Rejnmark, and L. Mosekilde, “Fracture risk associated with the use of morphine and opiates,” Journal of Internal Medicine, vol. 260, no. 1, pp. 76–87, 2006.
[89]  C. Mattia, E. Di Bussolo, and F. Coluzzi, “Non-analgesic effects of opioids: the interaction of opioids with bone and joints,” Current Pharmaceutical Design, vol. 18, no. 37, pp. 6005–6009, 2012.
[90]  L. E. Kelly, M. Rieder, J. Van Den Anker et al., “More codeine fatalities after tonsillectomy in North American children,” Pediatrics, vol. 129, no. 5, pp. e1343–e1346, 2012.
[91]  L. Fugger, G. McVean, and J. I. Bell, “Genomewide association studies and common disease—realizing clinical utility,” The New England Journal of Medicine, vol. 367, no. 25, pp. 2370–2371, 2012.
[92]  R. Mirnezami, J. Nicholson, and A. Darzi, “Preparing for precision medicine,” The New England Journal of Medicine, vol. 366, no. 6, pp. 489–491, 2012.
[93]  M. V. Relling and T. E. Klein, “CPIC: clinical pharmacogenetics implementation consortium of the pharmacogenomics research network,” Clinical Pharmacology and Therapeutics, vol. 89, no. 3, pp. 464–467, 2011.
[94]  “Personalized Medicine/Drug trend report,” http://www.drugtrendreport.com/insights-and-solutions/year-in-review/personalized-medicine, 2012.
[95]  T. E. Klein, R. B. Altman, N. Eriksson et al., “Estimation of the warfarin dose with clinical and pharmacogenetic data,” The New England Journal of Medicine, vol. 360, no. 8, pp. 753–764, 2009.
[96]  Y. Caraco, S. Blotnick, and M. Muszkat, “CYP2C9 genotype-guided warfarin prescribing enhances the efficacy and safety of anticoagulation: a prospective randomized controlled study,” Clinical Pharmacology and Therapeutics, vol. 83, no. 3, pp. 460–470, 2008.
[97]  “Canadian guideline for safe and effective use of opioids for chronic non-cancer pain—deciding to initiate opioid therapy,” http://nationalpaincentre.mcmaster.ca/opioid/cgop_b01_r02.html, 2010.

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133