Abstract
Purpose
Breast cancer is the most prevalent and lethal cancer among women. Forty-one percent of cases occur in people ≥ 70 years, hindering their treatment given its comorbidities and polypharmacy (PP). Potential drug–drug interactions (PDDI) were analyzed in elderly breast cancer patients between daily and oncospecific treatments and their associations with Age, BMI, Mini Nutritional Assessment (MNA), Frailty categorization, PP, and adverse effects.
Patients/methods
A cohort of 77 patients ≥ 70 years with breast cancer who underwent a Comprehensive Geriatric Assessment (CGA) were included. Clinical characteristics were collected using medical records. PDDI between treatments were analyzed using two databases. Data were assessed using linear regression, Chi-square, Mann–Whitney U, and Kruskal–Wallis tests. Finally, a multivariate logistic regression model was built and tested to predict adverse effects.
Results
From 719 PDDI, 530 (74%) were moderate (r2 = 0.72) and the median number of drugs during oncospecific treatment (r2 = 0.73) was 9 (range 3–26). Overall, 59 patients (77%) had adverse effects associated with Frailty categorization and MNA (p < 0.05). The distribution of major, moderate, minor, and total PDDI was associated with PP at CGA and during oncospecific treatment (p < 0.05). Moreover, it was verified that Frailty categorization protects from adverse effects given the intervention made at CGA.
Conclusions
CGA should be applied in oncologic elderly patients to assess clinical outcomes and categorize them according to their frailty but also to analyze PDDI. Furthermore, we encourage the use of the model in clinical practice for predicting the occurrence of adverse effects, improving therapeutic conciliation.
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Availability of data and material
The data sets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Balducci L, Extermann M. Management of cancer in the older person: a practical approach. Oncologist. 2000. https://doi.org/10.1634/theoncologist.5-3-224.
Estapé T. Cancer in the elderly: challenge and barriers. Asia Pac J Oncol Nurs. 2018. https://doi.org/10.4103/apjon.apjon_52_17.
International Agency for Research on Cancer (2020) Cancer today. In: GLOBOCAN 2018. Global Cancer Observatory. 2020. https://gco.iarc.fr/today/online-analysis-pie?v=2018&mode=cancer&mode_population=continents&population=900&populations=900&key=total&sex=0&cancer=39&type=0&statistic=5&prevalence=0&population_group=0&ages_group%5B%5D=0&ages_group%5B%5D=17&nb_items=7&group_cancer=1&include_nmsc=1&include_nmsc_other=1&half_pie=0&donut=0&population_group_globocan_id. Accessed 01 Feb 2020
Asociación Española Contra el Cáncer (AECC) (2019) Datos cáncer de mama 2019. In: AECC. 2019. https://www.aecc.es/sites/default/files/content-file/Datos-cancer-mama_2019_0.pdf. Accessed 01 Feb 2020
Calderón-Larrañaga A, Gimeno-Feliu LA, González-Rubio F, Poblador-Plou B, Lairla-San José M, Abad-Díez JM, et al. Polypharmacy patterns: unravelling systematic associations between prescribed medications. PLoS ONE. 2013. https://doi.org/10.1371/journal.pone.0084967.
Brysch EG, Cauthon KAB, Kalich BA, Sarbacker GB. Medication regimen complexity index in the elderly in an outpatient setting: a literature review. Consult Pharm. 2018. https://doi.org/10.4140/TCP.n.2018.484.
Masnoon N, Shakib S, Kalisch-Ellet L, Caughey GE. What is polypharmacy? A systematic review of definitions. BMC Geriatr. 2017. https://doi.org/10.1186/s12877-017-0621-2.
Mohamed MR, Ramsdale E, Poh K, Arastu A, Xu H, Obrecht S, et al. Associations of polypharmacy and inappropriate medications with adverse outcomes in older adults with cancer: a systematic review and meta-analysis. Oncologist. 2020. https://doi.org/10.1634/theoncologist.2019-0406.
Gonçalves K, Peres MA, Iop D, Crispim A, Boing AF, Aziz M, et al. Polypharmacy among the elderly: a population-based study. Rev Bras Epidemiol. 2017. https://doi.org/10.1590/1980-5497201700020013.
Morillo-Verdugo R, Robustillo-Cortés MA, Martín LAK, De Sotomayor MA, Lozano de León F, Almeida-González CV. Determination of a cutoff value for medication regimen complexity index to predict polypharmacy in HIV+ older patient. Rev Esp Quimioter. 2019;32(5):458–64.
Sharma M, Loh KP, Nightingale G, Mohile SG, Holmes HM. Polypharmacy and potentially inappropriate medication use in geriatric oncology. J Geriatr Oncol. 2016. https://doi.org/10.1016/j.jgo.2016.07.010.
Midão L, Giardini A, Menditto E, Kardas P, Costa E. Polypharmacy prevalence among older adults based on the survey of health, ageing and retirement in Europe. Arch Gerontol Geriatr. 2018. https://doi.org/10.1016/j.archger.2018.06.018.
Charlesworth CJ, Smit E, Lee DS, Alramadhan F, Odden MC. Polypharmacy among adults aged 65 years and older in the United States: 1988–2010. J Gerontol A Biol Sci Med Sci. 2015. https://doi.org/10.1093/gerona/glv013.
Guthrie B, Makubate B, Hernandez-Santiago V, Dreischulte T. The rising tide of polypharmacy and drug–drug interactions: population database analysis 1995–2010. BMC Med. 2015. https://doi.org/10.1186/s12916-015-0322-7.
Hajjar ER, Cafiero AC, Hanlon JT. Polypharmacy in elderly patients. Am J Geriatr Pharmacother. 2007. https://doi.org/10.1016/j.amjopharm.2007.12.002.
Arnet I, Greenland M, Knuiman MW, Rankin JM, Hung J, Nedkoff L, et al. Operationalization and validation of a novel method to calculate adherence to polypharmacy with refill data from the Australian pharmaceutical benefits scheme (PBS) database. Clin Epidemiol. 2018. https://doi.org/10.2147/CLEP.S153496.
González-Colominas E, Broquetas T, Retamero A, García-Retortillo M, Cañete N, Coll S, et al. Drug–drug interactions of telaprevir and boceprevir in HCV-monoinfected and HIV/HCV-coinfected patients can modify the adherence. Liver Int. 2015. https://doi.org/10.1111/liv.12729.
George J, Phun Y-T, Bailey MJ, Kong DC, Stewart K. Development and validation of the medication Regimen Complexity Index. Ann Pharmacother. 2004. https://doi.org/10.1345/aph.1D479.
Patterson SM, Hughes C, Kerse N, Cardwell CR, Bradley MC. Interventions to improve the appropriate use of polypharmacy for older people. Cochrane Database Syst Rev. 2012. https://doi.org/10.1002/14651858.CD008165.pub4.
Cadogan CA, Ryan C, Hughes CM. Appropriate polypharmacy and medicine safety: when many is not too many. Drug Saf. 2016. https://doi.org/10.1007/s40264-015-0378-5.
American Geriatrics Society. Beers Criteria Update Expert Panel. American Geriatrics Society updated Beers Criteria for potentially inappropriate medication use in older adults. J Am Geriatr Soc. 2012. https://doi.org/10.1111/j.1532-5415.2012.03923.x.
Whitman AM, DeGregory KA, Morris AL, Ramsdale EE. A comprehensive look at polypharmacy and medication screening tools for the older cancer patient. Oncologist. 2016. https://doi.org/10.1634/theoncologist.2015-0492.
Okeowo D, Patterson A, Boyd C, Reeve E, Gnjidic D, Todd A. Clinical practice guideline for older people with multimorbidity and life-limiting illness: what are the implications for deprescribing? Ther Adv Drug Saf. 2018. https://doi.org/10.1177/2042098618795770.
Scheife RT, Hines LE, Boyce RD, Chung SP, Momper J, Sommer CD. Consensus recommendations for systematic evaluation of drug–drug interaction evidence for clinical decision support. Drug Saf. 2015. https://doi.org/10.1007/s40264-014-0262-8.
Vallet-Regí M, Manzano M, Rodriguez-Mañas L, Checa M, Aapro M, Balducci L. Management of cancer in the older age person: an approach to complex medical decisions. Oncologist. 2017. https://doi.org/10.1634/theoncologist.2016-0276.
Van Leeuwen RWF, Jansman FG, Van den Bemt PM, Man F, Piran F, Vincenten I, et al. Drug–drug interactions in patients treated for cancer: a prospective study on clinical interventions. Ann Oncol. 2015. https://doi.org/10.1093/annonc/mdv029.
Medscape (2020) Drug Interactions Checker. In: Medscape Drug Reference Database. 2020. https://reference.medscape.com/drug-interactionchecker. Accessed 29 Feb 2020
Drugs.com (2020) Drug Interactions Checker. In: Drugs.com. 2020. https://www.drugs.com/drug_interactions.html. Accessed 29 Feb 2020
The R Foundation (2020) The R project for statistical computing. In: The R project. 2020. https://www.R-project.org/. Accessed 20 Mar 2020
Van Leeuwen RWF, Brundel DHS, Neef C, Van Gelder T, Mathijssen RHJ, Burger DM, et al. Prevalence of potential drug–drug interactions in cancer patients treated with oral anticancer drugs. Br J Cancer. 2013. https://doi.org/10.1038/bjc.2013.48.
Zander AR, Hornung RJ, Lipp HP. Chemotherapy in the elderly—how intense should treatment be? CTT J. 2015. https://doi.org/10.18620/1866-8836-2015-4-1-2-8-13.
Page AT, Clifford RM, Potter K, Schwartz D, Etherton-Beer CD. The feasibility and effect of deprescribing in older adults on mortality and health: a systematic review and meta-analysis. Br J Clin Pharmacol. 2016. https://doi.org/10.1111/bcp.12975.
Mohile SG, Dale W, Somerfield MR, Schonberg MA, Boyd CM, Burhenn PS, et al. Practical assessment and management of vulnerabilities in older patients receiving chemotherapy: ASCO guideline for geriatric oncology. J Clin Oncol. 2018. https://doi.org/10.1200/JCO.2018.78.8687.
Hurria A, Togawa K, Mohile SG, Owusu C, Klepin HD, Gross CP, et al. Predicting chemotherapy toxicity in older adults with cancer: a prospective multicenter study. J Clin Oncol. 2011. https://doi.org/10.1200/JCO.2011.34.7625.
Acknowledgements
The authors wish to thank Sara Escudero, Pau Benito, and Ana Digón for their assistance throughout this project.
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David Conde-Estévez declares: Advisory role: Boehringer-Ingelheim, MSD; Travel and educational expenses: BMS. Ignacio Tusquets declares: Advisory role: Roche, Pfizer, Celgene; Travel and educational expenses: Roche.
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This study was approved by the clinical investigation ethics committee of the Hospital del Mar (CEIC-Parc de Salut Mar, no. CEIC 2019/9015-I) and has been performed in accordance with the ethical standards of the Declaration of Helsinki (Fortaleza, Brazil, October 2013).
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Supplementary file3 Mean AUC of the 10,000 created models on the 10,000 stratified randomly sampled training and test sets (TIFF 1612 kb)
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Domínguez-Alonso, J.A., Conde-Estévez, D., Bosch, D. et al. Breast cancer, placing drug interactions in the spotlight: is polypharmacy the cause of everything?. Clin Transl Oncol 23, 65–73 (2021). https://doi.org/10.1007/s12094-020-02386-8
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DOI: https://doi.org/10.1007/s12094-020-02386-8