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Different Risk-Increasing Drugs in Recurrent versus Single Fallers: Are Recurrent Fallers a Distinct Population?

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Abstract

Background

Polypharmacy, and specifically the use of multiple fall-risk-increasing drugs (FRID), have been associated with increased risk of falling in older age. However, it is not yet clear whether the known set of FRIDs can be extrapolated to recurrent fallers, since they form a distinct group of more vulnerable older persons with different characteristics.

Objectives

We aim to investigate which classes of medications are associated with recurrent falls in elderly patients visiting the Emergency Department (ED) after a fall.

Methods

This study had a cross-sectional design and was conducted in the ED of an academic medical center. Patients who sustained a fall, 65 years or older, and who visited the ED between 2004 and 2010 were invited to fill in a validated fall questionnaire designed to assess patient and fall characteristics (CAREFALL Triage Instrument [CTI]). We translated self-reported medications to anatomical therapeutic chemical (ATC) codes (at the second level). Univariate logistic regression analysis was performed to explore the association between medication classes and the outcome parameter (recurrent fall). Multivariate logistic regression was used to assess the associations after adjustment to potential confounders.

Results

In total 2,258 patients participated in our study, of whom 39 % (873) had sustained two or more falls within the previous year. After adjustment for the potential confounders, drugs for acid-related disorders (adjusted odds ratio [aOR] 1.29; 95 % CI 1.03–1.60), analgesics (aOR 1.22; 95 % CI 1.06–1.41), anti-Parkinson drugs (aOR 1.59; 95 % CI 1.02–2.46), nasal preparations (aOR 1.49; 95 % CI 1.07–2.08), ophthalmologicals (aOR 1.51; 95 % CI 1.10–2.09); antipsychotics (aOR 2.21; 95 % CI 1.08–4.52), and antidepressants (aOR 1.64; 95 % CI 1.13–2.37) remained statistically significantly associated with an ED visit due to a recurrent fall.

Conclusions

Known FRIDs, such as psychotropic drugs, also increase the risk of recurrent falls. However, we found four relatively new classes that showed significant association with recurrent falls. In part, these classes may act as markers of frailty and comorbidity, or they may reflect differences in the risk factors affecting the older, frailer population that tends to sustain recurrent falls. Further investigation is needed to elucidate causes and ways to prevent recurrent falls.

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References

  1. Tromp AM, Smit JH, Deeg DJ, Bouter LM, Lips P. Predictors for falls and fractures in the longitudinal aging study Amsterdam. J Bone Miner Res. 1998;13(12):1932–9.

    Article  PubMed  CAS  Google Scholar 

  2. Tinetti ME, Speechley M, Ginter SF. Risk factors for falls among elderly persons living in the community. N Engl J Med. 1988;319(26):1701–7.

    Article  PubMed  CAS  Google Scholar 

  3. Blake AJ, Morgan K, Bendall MJ, Dallosso H, Ebrahim SB, Arie TH, et al. Falls by elderly people at home: prevalence and associated factors. Age Ageing. 1988;17(6):365–72.

    Article  PubMed  CAS  Google Scholar 

  4. Hartholt KA, van Beeck EF, Polinder S, van der velde N, van Lieshout EM, Panneman MJ, et al. Societal consequences of falls in the older population: injuries, healthcare costs, and long-term reduced quality of life. J Trauma. 2011;71(3):748–53.

    Article  PubMed  Google Scholar 

  5. Tinetti ME, Speechley M. Prevention of falls among the elderly. N Engl J Med. 1989;320(16):1055–9.

    Article  PubMed  CAS  Google Scholar 

  6. Stalenhoef PA, Diederiks JP, Knottnerus JA, Kester AD, Crebolder HF. A risk model for the prediction of recurrent falls in community-dwelling elderly: a prospective cohort study. J Clin Epidemiol. 2002;55(11):1088–94.

    Article  PubMed  CAS  Google Scholar 

  7. Kannus P, Sievanen H, Palvanen M, Jarvinen T, Parkkari J. Prevention of falls and consequent injuries in elderly people. Lancet. 2005;366(9500):1885–93.

    Article  PubMed  Google Scholar 

  8. Stalenhoef PA, Crebolder H, Knottnerus JA, van der Horst FGEM. Incidence, risk factors and consequences of falls among elderly subjects living in the community. A criteria-based analysis. Eur J Public Health 1997;7(3):328–34.

    Google Scholar 

  9. Kannus P, Parkkari J, Koskinen S, Niemi S, Palvanen M, Jarvinen M, et al. Fall-induced injuries and deaths among older adults. JAMA. 1999;281(20):1895–9.

    Article  PubMed  CAS  Google Scholar 

  10. Tidermark J, Zethraeus N, Svensson O, Tornkvist H, Ponzer S. Quality of life related to fracture displacement among elderly patients with femoral neck fractures treated with internal fixation. 2002. J Orthop Trauma. 2003; 17(8 Suppl):S17–21.

    Google Scholar 

  11. Stel VS, Smit JH, Pluijm SM, Lips P. Consequences of falling in older men and women and risk factors for health service use and functional decline. Age Ageing. 2004;33(1):58–65.

    Article  PubMed  Google Scholar 

  12. Rubenstein LZ. Falls in older people: epidemiology, risk factors and strategies for prevention. Age Ageing. 2006; 35 Suppl 2:ii37–41.

    Google Scholar 

  13. van Nieuwenhuizen RC, van der Velde N, van Breda FG, Scheffer AC, Korevaar JC, van der Cammen TJ, et al. Assessing the prevalence of modifiable risk factors in older patients visiting an ED due to a fall using the CAREFALL triage instrument. Am J Emerg Med. 2010;28(9):994–1001.

    Article  PubMed  Google Scholar 

  14. Woolcott JC, Richardson KJ, Wiens MO, Patel B, Marin J, Khan KM, et al. Meta-analysis of the impact of 9 medication classes on falls in elderly persons. Arch Intern Med. 2009;169(21):1952–60.

    Article  PubMed  Google Scholar 

  15. Sterke CS, van Beeck EF, van der Velde N, Ziere G, Petrovic M, Looman CW, et al. New insights: dose-response relationship between psychotropic drugs and falls: a study in nursing home residents with dementia. J Clin Pharmacol. 2012;52(6):947–55.

    Article  PubMed  CAS  Google Scholar 

  16. Cumming RG, Miller JP, Kelsey JL, Davis P, Arfken CL, Birge SJ, et al. Medications and multiple falls in elderly people: the St. Louis OASIS study. Age Ageing. 1991;20(6):455–61.

    Article  PubMed  CAS  Google Scholar 

  17. Luukinen H, Koski K, Laippala P, Kivela SL. Predictors for recurrent falls among the home-dwelling elderly. Scand J Prim Health Care. 1995;13(4):294–9.

    Article  PubMed  CAS  Google Scholar 

  18. Nevitt MC, Cummings SR, Kidd S, Black D. Risk factors for recurrent nonsyncopal falls: a prospective study. JAMA. 1989;261(18):2663–8.

    Article  PubMed  CAS  Google Scholar 

  19. Kujawa K, Leurgans S, Raman R, Blasucci L, Goetz CG. Acute orthostatic hypotension when starting dopamine agonists in Parkinson’s disease. Arch Neurol. 2000;57(10):1461–3.

    Article  PubMed  CAS  Google Scholar 

  20. Fang X, Shi J, Song X, Mitnitski A, Tang Z, Wang C, et al. Frailty in relation to the risk of falls, fractures, and mortality in older Chinese adults: results from the Beijing longitudinal study of aging. J Nutr Health Aging. 2012;16(10):903–7.

    Article  PubMed  CAS  Google Scholar 

  21. Tom SE, Adachi JD, Anderson FA Jr, Boonen S, Chapurlat RD, Compston JE, et al. Frailty and fracture, disability, and falls: a multiple country study from the global longitudinal study of osteoporosis in women. J Am Geriatr Soc. 2013;61(3):327–34.

    Article  PubMed  Google Scholar 

  22. Ensrud KE, Ewing SK, Cawthon PM, Fink HA, Taylor BC, Cauley JA, et al. A comparison of frailty indexes for the prediction of falls, disability, fractures, and mortality in older men. J Am Geriatr Soc. 2009;57(3):492–8.

    Article  PubMed  Google Scholar 

  23. Boele van Hensbroek P, van Dijk N, van Breda GF, Scheffer AC, van der Cammen TJ, Lips P et al. The CAREFALL triage instrument identifying risk factors for recurrent falls in elderly patients. Am J Emerg Med 2009; 27(1):23–36.

  24. Greenland S. Modeling and variable selection in epidemiologic analysis. Am J Public Health. 1989;79(3):340–9.

    Article  PubMed  CAS  Google Scholar 

  25. Burnham KP, Anderson DR. Model selection and multimodel inference: a practical-theoretic approach. 2nd ed. Berlin: Springer; 2012.

  26. Jenner P. Pharmacology of dopamine agonists in the treatment of Parkinson’s disease. Neurology. 2002;58(4 Suppl 1):S1–8.

    Article  PubMed  CAS  Google Scholar 

  27. Van der Velde N, Stricker BH, Pols HA, van der Cammen TJ. Withdrawal of fall-risk-increasing drugs in older persons: effect on mobility test outcomes. Drugs Aging. 2007;24(8):691–9.

    Article  PubMed  Google Scholar 

  28. Muller ME, van der velde N, Krulder JW, van der Cammen TJ. Syncope and falls due to timolol eye drops. BMJ. 2006;332(7547):960–1.

    Article  PubMed  Google Scholar 

  29. Ramdas WD, van der velde N, van der Cammen TJ, Wolfs RC. Evaluation of risk of falls and orthostatic hypotension in older, long-term topical beta-blocker users. Graefes Arch Clin Exp Ophthalmol. 2009;247(9):1235–41.

    Article  PubMed  Google Scholar 

  30. Targownik LE, Leslie WD, Davison KS, Goltzman D, Jamal SA, Kreiger N, et al. The relationship between proton pump inhibitor use and longitudinal change in bone mineral density: a population-based from the Canadian Multicentre Osteoporosis Study (CaMos). Am J Gastroenterol. 2012;107(9):1361–9.

    Article  PubMed  Google Scholar 

  31. Teramura-Gronblad M, Hosia-Randell H, Muurinen S, Pitkala K. Use of proton-pump inhibitors and their associated risks among frail elderly nursing home residents. Scand J Prim Health Care. 2010;28(3):154–9.

    Article  PubMed  Google Scholar 

  32. Kwok CS, Yeong JK, Loke YK. Meta-analysis: risk of fractures with acid-suppressing medication. Bone. 2011;48(4):768–76.

    Article  PubMed  CAS  Google Scholar 

  33. Koski K, Luukinen H, Laippala P, Kivela SL. Physiological factors and medications as predictors of injurious falls by elderly people: a prospective population-based study. Age Ageing. 1996;25(1):29–38.

    Article  PubMed  CAS  Google Scholar 

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Acknowledgments

MA, SE, and NVV conceived the study and study design. AS collected the data. AA and SR coordinated the study. MA carried out the data analysis under supervision of AA, NVV, and SE. MA drafted the manuscript. All authors participated in the design, interpreted the data, steered the analysis, and critically read and revised the manuscript. All authors read and approved the final manuscript. The authors thank Karlijn van Stralen (epidemiologist) for her methodological advice.

Conflict of interest

The authors declare that they have no conflicts of interest. No information reported in this manuscript has been previously presented. This research was partly funded by ZonMw (The Netherlands Organization for Health Research and Development) by Grants for the PROFIT (#300020010) and ICOVE (#311020302) projects.

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Correspondence to Marjan Askari.

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Askari, M., Eslami, S., Scheffer, A.C. et al. Different Risk-Increasing Drugs in Recurrent versus Single Fallers: Are Recurrent Fallers a Distinct Population?. Drugs Aging 30, 845–851 (2013). https://doi.org/10.1007/s40266-013-0110-z

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