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Development and Application of the GheOP3S-Tool Addendum on Potentially Inappropriate Prescribing (PIP) of Renally Excreted Active Drugs (READs) in Older Adults with Polypharmacy

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Abstract

Background

Renal function progressively worsens with age. Potentially inappropriate prescribing (PIP) of renally excreted active drugs (READs) is common in older adults, leading to an increased rate of iatrogenic illness. The Ghent Older People’s Prescription community Pharmacy Screening (GheOP3S-) tool is an effective, explicit instrument that was developed for community pharmacists (CPs) to detect PIP. So far, this tool does not assess PIP of the frequently used READs in older patients with renal impairment.

Objectives

This study aimed to expand the GheOP3S-tool with the first addendum to screen for PIP of frequently used READs, and to perform a cross-sectional analysis using the addendum and the medication history of a group of older adults with polypharmacy.

Methods

The addendum was developed in three steps: (1) collection of individual and combined READs, (2) collection of dose-adjustment recommendations, and (3) expert panel evaluation. Consequently, the addendum was applied retrospectively on the medication list of 60 older adults with polypharmacy and with four renal function-estimating equations.

Results

The addendum includes 61 READs recommendations for dose/drug-adjustment alternatives, laboratory test follow-ups, and patients’ referral to specialists’ care. In the cross-sectional analysis, 35–78% of patients were diagnosed with renal impairment, depending on the equations used for renal function estimation. Among patients with renal impairment, 21–46% of the prescribed READs were deemed potentially inappropriate by the GheOP3S-tool addendum.

Conclusion

The GheOP3S-tool was expanded with an addendum on PIP of READs in renal impairment for older patients. The cross-sectional analysis using the addendum suggests that PIP of READs is common in older patients with polypharmacy and renal impairment. Using this addendum, CPs might contribute to diminishing PIP of READs.

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References

  1. United Nations. World Population Aging 2013 [Report]. New York2013 [Available from: http://www.un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeing2013.pdf. Accessed 1 Mar 2016.

  2. Eurostat- European Commission. Higher life expectancy variant - Projected demographic balances and indicators 2014 [updated 08-12-2014 Available from: http://appsso.eurostat.ec.europa.eu/nui/submitViewTableAction.do. Accessed 25 Apr 2016.

  3. Hanlon JT, Wang X, Handler SM, Weisbord S, Pugh MJ, Semla T, Stone RA, Aspinall SL, et al. Potentially inappropriate prescribing of primarily renally cleared medications for older veterans affairs nursing home patients. J Am Med Dir Assoc. 2011;12(5):377–83. https://doi.org/10.1016/j.jamda.2010.04.008.

    Article  PubMed  Google Scholar 

  4. KDIGO. KDIGO 2012 Clinical practice guideline for the evaluation and management of chronic kidney disease. Off J Int Soc Nephrol KDIGO 2012;3(1).

  5. Erler A, Beyer M, Petersen JJ, Saal K, Rath T, Rochon J, et al. How to improve drug dosing for patients with renal impairment in primary care - a cluster-randomized controlled trial. BMC Fam Pract. 2012. https://doi.org/10.1186/1471-2296-13-91.

    PubMed  PubMed Central  Google Scholar 

  6. MacCallum L. Optimal medication dosing in patients with diabetes mellitus and chronic kidney disease. Can J Diabetes. 2014;38:334–43.

    Article  PubMed  Google Scholar 

  7. Naughton CA. Drug-induced nephrotoxicity. Am Fam Physician. 2008;78(6):743–50.

    PubMed  Google Scholar 

  8. Schaeffner ES, Ebert N, Delanaye P, Frei U, Gaedeke J, Jakob O, et al. Two novel equations to estimate kidney function in persons aged 70 years or older. Ann Intern Med. 2012;157(7):471–81.

    Article  PubMed  Google Scholar 

  9. Tommelein E, Mehuys E, Petrovic M, Somers A, Colin P, Boussery K. Potentially inappropriate prescribing in community-dwelling older people across Europe: a systematic literature review. Eur J Clin Pharmacol. 2015;71(12):1415–27. https://doi.org/10.1007/s00228-015-1954-4 (published Online First: 2015/09/27).

    Article  PubMed  Google Scholar 

  10. Onder G, Bonassi S, Abbatecola AM, Folino-Gallo P, Lapi F, Marchionni N, et al. High prevalence of poor quality drug prescribing in older individuals: a nationwide report from the Italian Medicines Agency (AIFA). J Gerontol A Biol Sci. Med Sci. 2014;69(4):430–7. https://doi.org/10.1093/gerona/glt118 (published Online First: 2013/08/06).

    Article  PubMed  Google Scholar 

  11. Tosato M, Landi F, Martone AM, Cherubini A, Corsonello A, Volpato S, et al. Potentially inappropriate drug use among hospitalised older adults: results from the CRIME study. Age Ageing. 2014;43(6):767–73. https://doi.org/10.1093/ageing/afu029 (published Online First: 2014/03/19).

    Article  PubMed  Google Scholar 

  12. Gallagher P, Ryan C, Byrne S, Kennedy J, O’Mahony D. STOPP (Screening Tool of Older Person’s Prescriptions) and START (Screening Tool to Alert doctors to Right Treatment). Consensus validation. Int J Clin Pharmacol Ther. 2008;46(2):72–83 (published Online First: 2008/01/26).

    Article  CAS  PubMed  Google Scholar 

  13. American Geriatrics Society. Updated Beers criteria for potentially inappropriate medication use in older adults. J Am Geriatr Soc. 2015;63(11):2227–46. https://doi.org/10.1111/jgs.13702 (published Online First: 2015/10/09).

    Article  Google Scholar 

  14. Hanlon JT, Aspinall SL, Semla TP, Weisbord SD, Fried LF, Good CB, et al. Consensus guidelines for oral dosing of primarily renally cleared medications in older adults. J Am Geriatr Soc. 2009;157(2):335–40. https://doi.org/10.1111/j.1532-5415.2008.02098.x.

    Article  Google Scholar 

  15. Via-Sosa MA, Lopes N, March M. Effectiveness of a drug dosing service provided by community pharmacists in polymedicated elderly patients with renal impairment—a comparative study. BMC Fam Pract. 2013;14:96. https://doi.org/10.1186/1471-2296-14-96 (published Online First: 2013/07/16).

    Article  PubMed  PubMed Central  Google Scholar 

  16. Munar Y, Singh M. Drug dosing adjustments in patients with chronic kidney disease. Am Fam Physician. 2007;75(10):1475–87.

    Google Scholar 

  17. Tommelein E, Petrovic M, Somers A, Mehuys E, van der Cammen T, Boussery K. Older patients’ prescriptions screening in the community pharmacy: development of the Ghent Older People’s Prescriptions community Pharmacy Screening (GheOP(3)S) tool. J Public Health (Oxf). 2015. https://doi.org/10.1093/pubmed/fdv090.

    Google Scholar 

  18. Chang FOHA, Miao Y, Steinman MA. Use of renally inappropriate medications in older veterans: a national study. J Am Geriatr Soc. 2015;63(11):2290–7.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Budnitz DS, Lovegrove MC, Shehab N, Richards CL. Emergency hospitalizations for adverse drug events in older Americans. N Engl J Med. 2011;365(21):2002–12. https://doi.org/10.1056/NEJMsa1103053 (published Online First: 2011/11/25).

    Article  CAS  PubMed  Google Scholar 

  20. Leendertse AJ, van Dijk EA, De Smet PA, Egberts TC, van den Bemt PM. Contribution of renal impairment to potentially preventable medication-related hospital admissions. Ann Pharmacother. 2012;46(5):625–33. https://doi.org/10.1345/aph.1Q633 (published Online First: 2012/05/10).

    Article  PubMed  Google Scholar 

  21. NIHCM Foundation. The Concentration of Health Care Spending. 2012. https://www.nihcm.org/pdf/DataBrief3%20Final.pdf. Accessed 18 Jun 2016.

  22. Basger BJ, Chen TF, Moles RJ. Validation of prescribing appropriateness criteria for older Australians using the RAND/UCLA appropriateness method. BMJ Open. 2012. https://doi.org/10.1136/bmjopen-2012-001431.

    PubMed  PubMed Central  Google Scholar 

  23. Holt S, Schmiedl S, Thurmann PA. Potentially inappropriate medications in the elderly: the PRISCUS list. Deutsches Arzteblatt Int. 2010;107(31–32):543–51. https://doi.org/10.3238/arztebl.2010.0543 (published Online First: 2010/09/10).

    Google Scholar 

  24. Kympers C, Tommelein E, Boussery K, Petrovic M, Somers A. The clinical relevance and completeness of the detection of potentially inappropriate prescribing in hospitalized older patients with the GheOP3S-tool. Wintermeeting van de Belgische Vereniging voor Gerontologie en Geriatrie. 2016;47(1):33.

    Google Scholar 

  25. Tommelein E, Mehuys E, Van Tongelen I, Petrovic M, Somers A, Colin P, et al. Community pharmacists’ evaluation of potentially inappropriate prescribing in older community-dwelling patients with polypharmacy: observational research based on the GheOP(3)S tool. J Public Health (Oxf). 2016. https://doi.org/10.1093/pubmed/fdw108 (published Online First: 2016/10/05).

    Google Scholar 

  26. Kelling SE. Exploring accessibility of community pharmacy services. Inov Pharm 2015;6 (3).

  27. Norris PHS, Sides G, Ram S, Fraser J. Geographical access to community pharmacies in New Zealand. Health Place. 2014;29:140–5. https://doi.org/10.1016/j.healthplace.2014.07.005.

    Article  PubMed  Google Scholar 

  28. Todd ACA, Husband A, Kasim A, Bambra C. The positive pharmacy care law: an area-level analysis of the relationship between community pharmacy distribution, urbanity and social deprivation in England. BMJ Open. 2014. https://doi.org/10.1136/bmjopen-2014-005764.

    Google Scholar 

  29. Law MR, Dijkstra A, Douillard JA, Morgan SG. Geographic accessibility of community pharmacies in Ontario. Health Policy. 2011;6(3):36–46.

    Google Scholar 

  30. Boardman H, Lewis M, Croft P, Trinder P, Rajaratnam G. Use of community pharmacies: a population-based survey. Am J Public Health. 2005;27(3):254–62. https://doi.org/10.1093/pubmed/fdi032.

    Article  Google Scholar 

  31. Al Hamarneh YN, Hemmelgarn B, Curtis C, Balint C, Jones CA, Tsuyuki RT. Community pharmacist targeted screening for chronic kidney disease. Can Pharm J CPJ Revue des Pharm du Can RPC. 2016;149(1):13–7. https://doi.org/10.1177/1715163515618421.

    Article  Google Scholar 

  32. FIP. FIP global pharmacy—workforce report. The Netherlands: International Pharmaceutical Federation (FIP); 2012. p. 2012.

    Google Scholar 

  33. Giacomuzzi G. Pharmacovigilance: Perspective of pharmacists. http://www.ema.europa.eu/docs/en_GB/document_library/Presentation/2011/04/WC500105328.pdf. Accessed 24 May 2016.

  34. Geerts AF, De Koning FH, De Vooght KM, Egberts AC, De Smet PA, van Solinge WW. Feasibility of point-of-care creatinine testing in community pharmacy to monitor drug therapy in ambulatory elderly patients. J Clin Pharm Ther. 2013;38(5):416–22. https://doi.org/10.1111/jcpt.12081 (published Online First: 2013/07/03).

    Article  CAS  PubMed  Google Scholar 

  35. WHO. ATC/DDD Index. 2016. https://www.whocc.no/atc_ddd_index/. Accessed 20 Oct 2016.

  36. Ashley C, Currie A. The renal drug handbook. Oxford: Radcliffe Publishing Ltd; 2009.

    Google Scholar 

  37. Pharmacie KNMtbd. Zakboek verminderde nierfunctie. 4 ed2014.

  38. eMC. Summaries of Product characteristics (SPCs) 2016. https://www.medicines.org.uk/emc/. Accessed 2 Feb 2016.

  39. medicines.ie. Summaries of product characteristics (SPCs). 2016. http://www.medicines.ie/. Accessed 15 Feb 2016.

  40. CBIP. Répertoire Commenté des Médicaments Belgium. 2016. http://www.cbip.be/fr/chapters. Accessed 25 Oct 2016.

  41. Geerts AF, Scherpbier-de Haan ND, de Koning FH, van der Sterren TM, van Weel C, Vervoort GM, et al. A pharmacy medication alert system based on renal function in older patients. Br J Gen Pract. 2012;62(601):e525–9. https://doi.org/10.3399/bjgp12X653561 (published Online First: 2012/08/08).

    PubMed  PubMed Central  Google Scholar 

  42. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9):604–12 (published Online First: 2009/05/06).

    Article  PubMed  PubMed Central  Google Scholar 

  43. Kilbride HS, Stevens PE, Eaglestone G, Legrand H, Nyman U, Christensson A. Accuracy of the MDRD (Modification of Diet in Renal Disease) study and CKD-EPI (CKD Epidemiology Collaboration) equations for estimation of GFR in the elderly. Am J Kidney Dis. 2013;61(1):57–66. https://doi.org/10.1053/j.ajkd.2012.06.016 (published Online First: 2012/08/15).

    Article  PubMed  Google Scholar 

  44. Koppe L, Klich A, Dubourg L, Ecochard R, Hadj-Aissa A. Performance of creatinine-based equations compared in older patients. JNEPHROL. 2013;26(4):716–23. https://doi.org/10.5301/jn.5000297.

    CAS  Google Scholar 

  45. Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16:31–41. https://doi.org/10.1159/000180580.

    Article  CAS  PubMed  Google Scholar 

  46. FDA. Guidance for industry: pharmacokinetics in patients with impaired renal function— study design, data analysis, and impact on dosing and labeling. 2010. http://www.fda.gov/downloads/Drugs/…/Guidances/UCM204959.pdf. Accessed 26 Nov 2016.

  47. Hudson JQ, Bean JR, Burger CF, Stephens AK, McFarland MS. Estimated glomerular filtration rate leads to higher drug dose recommendations in the elderly compared with creatinine clearance. Int J Clin Pract. 2015;69(3):313–20. https://doi.org/10.1111/ijcp.12532.

    Article  CAS  PubMed  Google Scholar 

  48. Dowling TC, Wang ES, Ferrucci L, Sorkin JD. Glomerular filtration rate equations overestimate creatinine clearance in older individuals enrolled in the Baltimore Longitudinal Study on Aging: impact on renal drug dosing. Pharmacotherapy. 2013;33(9):912–21. https://doi.org/10.1002/phar.1282 (published Online First: 2013/04/30).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Hassan Y, Al-Ramahi RJ, Aziz NA, Ghazali R. Impact of a renal drug dosing service on dose adjustment in hospitalized patients with chronic kidney disease. Ann Pharmacother. 2009;43(10):1598–605. https://doi.org/10.1345/aph.1M187 (published Online First: 2009/09/25).

    Article  PubMed  Google Scholar 

  50. Pequignot R, Belmin J, Chauvelier S, Gaubert JY, Konrat C, Duron E, et al. Renal function in older hospital patients is more accurately estimated using the Cockcroft-Gault formula than the Modification Diet in Renal Disease formula. J Am Geriatr Soc. 2009;57(9):1638–43. https://doi.org/10.1111/j.1532-5415.2009.02385.x (published Online First: 2009/08/18).

    Article  PubMed  Google Scholar 

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Correspondence to Abdul Aziz Al Wazzan.

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No sources of funding were used to assist in the conduct of this study or the preparation of this article.

Conflict of interest

Abdul Aziz Al Wazzan, Eline Tommelein, Katrien Foubert, Stefano Bonassi, Graziano Onder, Annemie Somers, Mirko Petrovic and Koen Boussery declare that they have no conflicts of interest relevant to the content of this review.

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Wazzan, A.A.A., Tommelein, E., Foubert, K. et al. Development and Application of the GheOP3S-Tool Addendum on Potentially Inappropriate Prescribing (PIP) of Renally Excreted Active Drugs (READs) in Older Adults with Polypharmacy. Drugs Aging 35, 343–364 (2018). https://doi.org/10.1007/s40266-018-0530-x

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