A comparison of self-reported analgesic use and detection of urinary ibuprofen and acetaminophen metabolites by means of metabonomics

American Journal of Epidemiology

Volumn 175, Issue 4, 2012, Pages 348-358

  Loo, Ruey Leng ^a,b   Chan, Queenie ^b   Brown, Ian J ^b   Robertson, Claire E ^c   Stamler, Jeremiah ^d   Nicholson, Jeremy K ^b   Holmes, Elaine ^b   Elliott, Paul ^b  

^a MEDWAY SCHOOL OF PHARMACY   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF WESTMINSTER   (United Kingdom)

^d NORTHWESTERN UNIVERSITY   (United States)

Author keywords

analgesics, non narcotic; anti inflammatory agents, non steroidal; epidemiologic studies; metabolomics; pharmacoepidemiology; questionnaires; reproducibility of results

Indexed keywords

DRUG METABOLITE; IBUPROFEN; PARACETAMOL;

ACCURACY ASSESSMENT; BLOOD; DETECTION METHOD; EPIDEMIOLOGY; HYDROGEN; METABOLITE; NUCLEAR MAGNETIC RESONANCE; POPULATION STRUCTURE; PRESSURE EFFECT; QUESTIONNAIRE SURVEY; STEROID;

ACCURACY; ADULT; ANALGESIA; CHINA; DRUG DETERMINATION; DRUG EXPOSURE; DRUG METABOLISM; DRUG URINE LEVEL; DRUG USE; FEMALE; HUMAN; IRELAND; JAPAN; MAJOR CLINICAL STUDY; MALE; METABOLIC PARAMETERS; PHARMACOEPIDEMIOLOGY; PROTON NUCLEAR MAGNETIC RESONANCE; REVIEW; SELF REPORT; UNITED KINGDOM; UNITED STATES; URINALYSIS;

ACETAMINOPHEN; ADULT; ANALGESICS, NON-NARCOTIC; BIAS (EPIDEMIOLOGY); EPIDEMIOLOGIC RESEARCH DESIGN; FEMALE; HUMANS; IBUPROFEN; MAGNETIC RESONANCE SPECTROSCOPY; MALE; METABOLOMICS; MIDDLE AGED; MULTIVARIATE ANALYSIS; PHARMACOEPIDEMIOLOGY; SELF REPORT;

CHINA; JAPAN; UNITED KINGDOM; UNITED STATES;

EID: 84856762345     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwr292     Document Type: Review

References (49)

1. Consumer Healthcare Products Association. Briefing Book. Joint Meeting of the Drug Safety and Risk Management Advisory Committee, Nonprescription Drugs Advisory Committee, and the Anesthetic and Life Support Drugs Advisory Committee. June 29 and 30, 2009. Washington, DC: Consumer Healthcare Products Association; 2009. (Docket no. FDA-2009-N-0138). (Accessed November 11, 2010).
2. Sheen CL, Dillon JF, Bateman DN, et al. Paracetamol pack size restriction: the impact on paracetamol poisoning and the over-the-counter supply of paracetamol, aspirin and ibuprofen. Pharmacoepidemiol Drug Saf. 2002;11(4):329-331. (Pubitemid 34704733)
3. Wood DM, English E, Butt S, et al. Patient knowledge of the paracetamol content of over-the-counter (OTC) analgesics, cough/cold remedies and prescription medications. Emerg Med J. 2010;27(11):829-833.
4. French DP, James DH. Reasons for the use of mild analgesics among English students. Pharm World Sci. 2008;30(1):79-85. (Pubitemid 350172652)
5. Farquhar H, Stewart A, Mitchell E, et al. The role of paracetamol in the pathogenesis of asthma. Clin Exp Allergy. 2010; 40(1):32-41.
6. McKeever TM, Lewis SA, Smit HA, et al. The association of acetaminophen, aspirin, and ibuprofen with respiratory disease and lung function. Am J Respir Crit Care Med. 2005; 171(9):966-971. (Pubitemid 40616944)
7. Shaheen SO, Newson RB, Sherriff A, et al. Paracetamol use in pregnancy and wheezing in early childhood. Thorax. 2002; 57(11):958-963. (Pubitemid 35316274)
8. Fosbøl EL, Folke F, Jacobsen S, et al. Cause-specific cardiovascular risk associated with nonsteroidal antiinflammatory drugs among healthy individuals. Circ Cardiovasc Qual Outcomes. 2010;3(4):395-405.
9. Rainsford KD. Ibuprofen: pharmacology, efficacy and safety. Inflammopharmacology. 2009;17(6):275-342.
10. Patel TN, Goldberg KC. Use of aspirin and ibuprofen compared with aspirin alone and the risk of myocardial infarction. Arch Intern Med. 2004;164(8):852-856. (Pubitemid 38520625)
11. Kang EM, Lundsberg LS, Illuzzi JL, et al. Prenatal exposure to acetaminophen and asthma in children. Obstet Gynecol. 2009;114(6):1295-1306.
12. Lesko SM, Louik C, Vezina RM, et al. Asthma morbidity after the short-term use of ibuprofen in children. Pediatrics. 2002;109(2):E20.
13. Cotterchio M, Kreiger N, Darlington G, et al. Comparison of self-reported and physician-reported antidepressant medication use. Ann Epidemiol. 1999;9(5):283-289. (Pubitemid 29289842)
14. Boudreau DM, Daling JR, Malone KE, et al. A validation study of patient interview data and pharmacy records for antihypertensive, statin, and antidepressant medication use among older women. Am J Epidemiol. 2004;159(3):308-317. (Pubitemid 38141661)
15. Van den Brandt PA, Petri H, Dorant E, et al. Comparison of questionnaire information and pharmacy data on drug use. Pharm Weekbl Sci. 1991;13(2):91-96.
16. Holmes E, Loo RL, Stamler J, et al. Human metabolic phenotype diversity and its association with diet and blood pressure. Nature. 2008;453(7193):396- 400. (Pubitemid 351693125)
17. Barton RH, Nicholson JK, Elliott P, et al. High-throughput 1H NMR-based metabolic analysis of human serum and urine for large-scale epidemiological studies: validation study. Int J Epidemiol. 2008;37(suppl 1):i31-i40.
18. Suhre K, Meisinger C, Döring A, et al. Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting. PLoS One. 2010;5(11):e13953. (doi:10.1371/journal.pone.0013953).
19. Huestis MA, Mitchell JM, Cone EJ. Detection times of marijuana metabolites in urine by immunoassay and GC-MS. J Anal Toxicol. 1995;19(6):443-449.
20. Catlin DH, Ahrens BD, Kucherova Y. Detection of norbolethone, an anabolic steroid never marketed, in athletes' urine. Rapid Commun Mass Spectrom. 2002;16(13):1273-1275. (Pubitemid 34717253)
21. Hatton CK, Catlin DH. Detection of androgenic anabolic steroids in urine. Clin Lab Med. 1987;7(3):655-668. (Pubitemid 18011020)
22. Moshkovska T, Stone MA, Clatworthy J, et al. An investigation of medication adherence to 5-aminosalicylic acid therapy in patients with ulcerative colitis, using self-report and urinary drug excretion measurements. Aliment Pharmacol Ther. 2009; 30(11-12):1118-1127.
23. Holmes E, Loo RL, Cloarec O, et al. Detection of urinary drug metabolite (xenometabolome) signatures in molecular epidemiology studies via statistical total correlation (NMR) spectroscopy. Anal Chem. 2007;79(7):2629-2640. (Pubitemid 46595614)
24. Bales JR, Nicholson JK, Sadler PJ. Two-dimensional proton nuclear magnetic resonance "maps" of acetaminophen metabolites in human urine. Clin Chem. 1985;31(5):757-762. (Pubitemid 16160501)
25. Bales JR, Sadler PJ, Nicholson JK, et al. Urinary excretion of acetaminophen and its metabolites as studied by proton NMR spectroscopy. Clin Chem. 1984;30(10):1631-1636. (Pubitemid 15091312)
26. Spraul M, Hofmann M, Dvortsak P, et al. High-performance liquid chromatography coupled to high-field proton nuclear magnetic resonance spectroscopy: application to the urinary metabolites of ibuprofen. Anal Chem. 1993;65(4):327-330. (Pubitemid 23087025)
27. Loo RL, Coen M, Ebbels T, et al. Metabolic profiling and population screening of analgesic usage in nuclear magnetic resonance spectroscopy-based large-scale epidemiologic studies. INTERMAP Research Group. Anal Chem. 2009; 81(13):5119-5129.
28. Stamler J, Elliott P, Dennis B, et al. INTERMAP: background, aims, design, methods, and descriptive statistics (nondietary). INTERMAP Research Group. J Hum Hypertens. 2003;17(9): 591-608.
29. Association of the British Pharmaceutical Industry. Medicine Compendium 2010. London, United Kingdom: Datapharm Communications Ltd; 2010.
30. Paulose-Ram R, Hirsch R, Dillon C, et al. Prescription and non-prescription analgesic use among the US adult population: results from the third National Health and Nutrition Examination Survey (NHANES III). Pharmacoepidemiol Drug Saf. 2003; 12(4):315-326. (Pubitemid 36700608)
31. Eggen AE. The Tromsø Study: frequency and predicting factors of analgesic drug use in a free-living population (12-56 years). J Clin Epidemiol. 1993;46(11):1297-1304. (Pubitemid 23333870)
32. Scott DL, Wolfe F, Huizinga TW. Rheumatoid arthritis. Lancet. 2010;376(9746):1094-1108.
33. Zhang Y, Jordan JM. Epidemiology of osteoarthritis. Clin Geriatr Med. 2010;26(3):355-369.
34. Zeller A, Schroeder K, Peters TJ. An adherence self-report questionnaire facilitated the differentiation between nonadherence and nonresponse to antihypertensive treatment. J Clin Epidemiol. 2008;61(3):282-288.
35. Zeller A, Ramseier E, Teagtmeyer A, et al. Patients' selfreported adherence to cardiovascular medication using electronic monitors as comparators. Hypertens Res. 2008;31(11): 2037-2043.
36. Grimaldi-Bensouda L, Rossignol M, Aubrun E, et al. Agreement between patients' self-report and physicians' prescriptions on cardiovascular drug exposure: the PGRx database experience. Pharmacoepidemiol Drug Saf. 2010;19(6):591-595.
37. Klungel OH, de Boer A, Paes AH, et al. Agreement between self-reported antihypertensive drug use and pharmacy records in a population-based study in the Netherlands. Pharm World Sci. 1999;21(5):217-220. (Pubitemid 29485013)
38. Heerdink ER, Leufkens HG, Koppedraaijer C, et al. Information on drug use in the elderly: a comparison of pharmacy, general-practitioner and patient data. Pharm World Sci. 1995; 17(1):20-24.
39. West SL, Savitz DA, Koch G, et al. Recall accuracy for prescription medications: self-report compared with database information. Am J Epidemiol. 1995;142(10): 1103-1112.
40. Uiters E, van Dijk L, Devillé W, et al. Ethnic minorities and prescription medication; concordance between self-reports and medical records. BMC Health Serv Res. 2006;6:115. (doi:10.1186/1472-6963-6-115). (Pubitemid 44469714)
41. Kennedy J, Tuleu I, Mackay K. Unfilled prescriptions of Medicare beneficiaries: prevalence, reasons, and types of medicines prescribed. J Manag Care Pharm. 2008;14(6): 553-560.
42. Esposito D, Schone E, Williams T, et al. Prevalence of unclaimed prescriptions at military pharmacies. J Manag Care Pharm. 2008;14(6):541-552.
43. Ekedahl A, Ma°nsson N. Unclaimed prescriptions after automated prescription transmittals to pharmacies. Pharm World Sci. 2004;26(1):26-31. (Pubitemid 38250177)
44. Valeberg BT, Miaskowski C, Hanestad BR, et al. Prevalence rates for and predictors of self-reported adherence of oncology outpatients with analgesic medications. Clin J Pain. 2008; 24(7):627-636.
45. Christensen A, Christrup LL, Fabricius PE, et al. The impact of an electronic monitoring and reminder device on patient compliance with antihypertensive therapy: a randomized controlled trial. J Hypertens. 2010;28(1):194-200.
46. Higgins PD, Rubin DT, Kaulback K, et al. Systematic review: impact of non-adherence to 5-aminosalicylic acid products on the frequency and cost of ulcerative colitis flares. Aliment Pharmacol Ther. 2009;29(3):247-257.
47. Heinzmann SS, Brown IJ, Chan Q, et al. Metabolic profiling strategy for discovery of nutritional biomarkers: proline betaine as a marker of citrus consumption. Am J Clin Nutr. 2010;92(2):436-443.
48. Altmaier E, Kastenmü ller G, Römisch-Margl W, et al. Questionnaire-based self-reported nutrition habits associate with serum metabolism as revealed by quantitative targeted metabolomics. Eur J Epidemiol. 2011;26(2):145-156.
49. Legido-Quigley C, Stella C, Perez-Jimenez F, et al. Liquid chromatography-mass spectrometry methods for urinary biomarker detection in metabonomic studies with application to nutritional studies. Biomed Chromatogr. 2010;24(7): 737-743.