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Poudel, Arjun, Yates, Patsy, Rowett, Debra, & Nissen, Lisa(2017)Use of preventive medication in patients with limited life expectancy: asystematic review.Journal of Pain and Symptom Management, 53(6), pp. 1097-1110.
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https://doi.org/10.1016/j.jpainsymman.2016.12.350
Accepted Manuscript
Use of preventive medication in patients with limited life expectancy: a systematicreview
Arjun Poudel, PhD, Patsy Yates, PhD, Debra Rowett, BPharm, Lisa M. Nissen, PhD
PII: S0885-3924(17)30049-0
DOI: 10.1016/j.jpainsymman.2016.12.350
Reference: JPS 9373
To appear in: Journal of Pain and Symptom Management
Received Date: 4 August 2016
Revised Date: 5 December 2016
Accepted Date: 29 December 2016
Please cite this article as: Poudel A, Yates P, Rowett D, Nissen LM, Use of preventive medication inpatients with limited life expectancy: a systematic review, Journal of Pain and Symptom Management(2017), doi: 10.1016/j.jpainsymman.2016.12.350.
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Review Article 16-00497R1
Use of preventive medication in patients with limited life expectancy: a systematic
review
Arjun Poudel, PhD1, Patsy Yates, PhD2, Debra Rowett, BPharm3,
Lisa M Nissen, PhD1
1. School of Clinical Sciences, Queensland University of Technology, Brisbane, Australia
2. School of Nursing, Queensland University of Technology, Brisbane, Australia
3. Repatriation General Hospital, Adelaide, Australia
Corresponding author
Arjun Poudel, PhD
Research Associate, School of Clinical Sciences
Faculty of Health, Queensland University of Technology
Q Block (Level 9), Brisbane, QLD 4000
Ph: +61424356506 Email: [email protected]
Word count: Text: 2603 Abstract: 242 Number of refs: 41 Tables: 2 Figure: 1
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ABSTRACT
Context: Optimal prescribing in patients with limited life expectancy remains unclear.
Objectives: This study systematically reviews the published literature regarding the use of
preventive medication in patients with reduced life expectancy.
Methods: A systematic literature search was conducted using three databases (MEDLINE,
EMBASE and CINAHL). Articles published in English from January 1995 to December
2015 were retrieved for analysis to identify peer-reviewed, observational studies assessing
use of preventive medications in patients with limited life expectancy. Inclusion criteria were:
patients with a limited life expectancy (≤ 2 years); prescribed/used preventive medications.
Results: Of the 15 studies meeting our eligibility criteria, 6 were from inpatient hospital
settings, 5 in palliative care, 3 in nursing homes and 1 in community settings. The most
common life limiting illness described in the studies was cancer (n =6), cardiovascular
diseases (n = 4), dementia and cognitive impairment (n =2) and other life limiting illnesses (n
= 3). Lipid-lowering medications, especially the statins were frequently prescribed preventive
medication followed by antiplatelets, ACE inhibitors and ARBs, anti-osteoporosis
medications, and calcium channel blockers. Only four studies reported the instances of
medication withdrawal.
Conclusions: Patients continue to receive medications that are not prescribed as symptomatic
treatment despite having a limited life expectancy. Very few rigorous studies have been
conducted on minimising preventive medications in patients with limited life expectancy and
expert opinion varies on medication optimisation at the end of life. A consensus guideline
that addresses this gap is of paramount importance.
Keywords: limited life expectancy, optimal prescribing, preventive medication, symptomatic
treatment
Running title: Preventive medications in patients with LLE
Accepted for publication: December 29, 2016.
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1 INTRODUCTION
1.1 Rationale
Getting the most from medicines for both patients and the healthcare providers is becoming
increasingly important as more people are taking more medicines. Recent
technological advancement favoured expansion of treatment options that can sustain life in
conditions where it was almost impossible in previous days.1 Advances in treatment options,
while a societal success, presents many challenges to healthcare systems. One such challenge
relates to medication use in patients with life-limiting illness. Life-limiting illnesses include
amongst other conditions, end stage organ failure, neurodegenerative disease, advanced
cancer and AIDS. Many patients with these conditions have other long term comorbidities
that need active management at the end of life including diabetes mellitus, hypertension,
dementia, arrhythmia, dyslipidemia, atrial fibrillation, osteoporosis and thromboembolic
disease. Both the life-limiting illness and comorbidities change clinically over time2 and
polypharmacy becomes prevalent in late life. This polypharmacy can continue even through
the transition into palliative care, where averages of 5-6 medications are prescribed.3 Those
with limited life expectancy (LLE) are at increased risk of adverse drug events4, have
complex health statuses and distinct health care needs.5 Use of preventive medications in
these vulnerable groups may neither maintain health nor provide overall benefits given the
time until benefit can be several years.6, 7 Benefits from such drug therapies will only be
achieved if prescribing is appropriate and regularly evaluated in this population.
1.2 Objectives
To assist prescribing in patients with limited life expectancy, various guidelines and a series
of frameworks have been developed.2, 5 However, it is unclear to what extent unnecessary
preventive medications are prescribed in these patient groups. Hence, the objective of this
review was to evaluate the use of preventive medications in patients with limited life
expectancy. A secondary goal was to identify and review studies that involved ceasing of
these medications.
2 METHODS
This systematic review is reported according to the Preferred Reporting in Systematic
Reviews and Meta-analyses (PRISMA) guidelines.8
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2.1 Eligibility Criteria
2.1.1 Study Types
Original studies that used preventive medications in patients with limited life expectancy
were included in the review. For the purpose of this study, limited life expectancy is defined
as patients with life expectancy less than 24 months; preventive medication is defined as any
medication that is used to proactively manage a disease or symptom, including antidiabetic,
antiplatelet, antihypertensive and lipid-regulating medication. We excluded studies that did
not assess the remaining life expectancy in populations using the preventive medications such
as the elderly patients. Conference abstracts and review articles were also excluded.
2.1.2 Participants
Eligible studies included participants with a limited life expectancy of ≤ 2 years who were
prescribed preventive medications.
2.2 Information Source
The search was conducted using electronic databases including MEDLINE, EMBASE and
CINAHL. Articles published in English between January 1995 and December 2015 were
retrieved for analysis. The bibliographies of relevant articles were hand searched for
additional studies.
2.3 Search Strategies
Keyword searches and MeSH headings were used that included the following terms: life
limiting illness, cancer, dementia, heart failure, end-stage chronic obstructive pulmonary
disease (COPD), advanced Parkinson’s disease, end of life, preventive medicine, preventive
medication use, life expectancy, limited life expectancy, short life expectancy. The search
strategy was modified, when appropriate, to meet the syntax requirements (see Appendix 1).
2.4 Study Selection
The initial screening of titles and abstracts based on the inclusion criteria was conducted by a
single investigator (AP) and was confirmed by a second reviewer (LN). Full text articles and
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data extraction were reviewed by AP for final inclusion. Reference lists of these articles were
scanned to identify additional relevant articles.
2.5 Data Abstraction and Risk of Bias Assessment
We extracted details of articles included in the review, including the study design, sample
size, participant age (details from table) using a specially designed data extraction form.
Although our initial plan was to conduct and report a meta-analysis, narrative summary of the
results are reported because of the heterogeneity of study methodology and outcomes. We
also planned to evaluate funnel plots analogous to meta-analysis of the outcome so that the
potential for small study effects such as publication bias could be assessed but since meta-
analysis was not conducted, this was not possible. Also, limiting search to only English
language might have led to language bias but because of limited resources for translation
available to pursue all language options we decided to use only English-language
publications.
3 RESULTS
3.1 Study Selection
The initial search found 628 citations (Figure 1). Of these, 576 were excluded after reviewing
the abstracts, as they failed to meet the inclusion criteria and 3 were excluded because of
duplication. After abstract review, full text was sought for 49 articles, from which 42 articles
were excluded that did not meet the following criteria: not an original article (n = 11), life
expectancy not defined (n = 24), life expectancy more than 2 years (n = 7). Finally, 15 studies
met the inclusion criteria including 8 additional studies from manual search in bibliographies.
3.2 Study Characteristics
Table 1 presents a detailed description of the reviewed studies. Studies were conducted in the
in-patient hospital settings (n = 6), palliative care settings (n = 5; inpatient palliative care: 3
and community palliative care: 2), nursing homes or assisted living settings (n = 3) and in
community-dwellers (n = 1). The studies were conducted in the Oceania and Asia (n = 5),
USA (n = 4), Europe (n = 4), Brazil (n = 1), and Canada (n = 1).
3.3 Participants
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A total of 15,527 participants were involved in the selected studies. The mean age of
participants ranged from 71.0 to 87.70 years of age. The life limiting illnesses described in
the studies were cancer (n =6), cardiovascular diseases (n = 4), dementia and cognitive
impairment (n =2) and other life limiting illnesses (n = 3). Life expectancy was reported to be
of 6 months or less were in 8 studies,9-16 12 months in 4 studies17-20 and 24 months in 3
studies.21-23 The average remaining life expectancy was approximately 11 months.
3.4 Types of preventive medication
The most common preventive class of medication used was the lipid-lowering medications,
especially the statins reported in the majority of studies.9-12, 15-19, 21, 23 Other classes of
commonly used preventive medications were antiplatelet,9, 11-13, 18, 20, 21 Angiotensin
Converting Enzyme (ACE) inhibitors and Angiotensin Receptor Blockers (ARBs),9, 10, 12, 21
anti-osteoporosis medications,11, 12, 18, 21 and calcium channel blockers.9, 12, 21 Table 2 presents
a detailed list of medication used in the selected studies. Prescribed medications were
categorised as preventive or symptomatic, and in some cases crossover
preventive/symptomatic. Only 4 studies reported instances of medication withdrawal.13, 15, 16,
19
4 DISCUSSION
In this review, we compiled studies that documented the use of preventive medication in
patients with limited life expectancy. The findings suggest that patients continue to receive
medications that are not prescribed as symptomatic treatment despite having a limited life
expectancy. Lipid-lowering medications, especially the statins were the most frequently used
preventive medication. This finding was supported by other cohort studies, that found statins
continued till last years of life in patients with life limiting illness.24, 25 Furthermore, the
diagnosis of a recognizable, life limiting illness had no influence on the likelihood of statin
discontinuation prior to death.16
Prescribers often encounter emotionally complex decisions and challenges with regard to
withdrawing, stopping or otherwise limiting treatment that possess the potential to sustain
life, but which imposes burden and has potential to cause adverse outcomes or other serious
impacts.1 This is more complex when palliative treatment can still involve active treatment to
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reduce symptoms and improve quality of life. For example, hypoglycemic agents can be used
as both preventive and symptom control as they are used to remove the symptoms and short-
term risks of high blood glucose, to prevent longer term complications, and also used to
detect and treat any complications early if they do arise. This also gives rise to polypharmacy
which is prevalent in patients nearing the end of life.26 Polypharmacy in patients with limited
life expectancy is associated with increased risk of adverse events that leads to poor quality
of life and reduced survival.12 The cumulative dangers of polypharmacy including the rise in
anticholinergic and serotonergic loads in those nearing death are well reported in literatures.26
In these patients, total medication burden increases due to continuation of medications for co-
morbid conditions, and addition of medications for symptom control.21
Therefore, the continuing challenge for prescribing physicians and patients is to thoroughly
reconsider medications that are really needed (prioritization) and medications that could be
stopped (discontinuation) in a timely manner without further contributing to symptom burden
as a result of discontinuation symptoms.27 These aspects of pharmacotherapy are central;
since the goals of care for patients with reduced life expectancy becomes palliative rather
than curative.5 Preventive medications that are used for long-term prevention and
management of chronic conditions in these populations might be inappropriate given the time
until benefit can be several years.6, 7 A common example in a frail patient with a life
expectancy of few months is the use of statins to lower serum cholesterol levels and hence
improve long term cardiovascular disease risk or antiresorptive therapy for osteoporosis,
which will have no benefit as the onset of measurable effects, will occur too late to be of any
benefit.28
A number of tools or indices have been developed to assist clinicians to aid prescribing
decisions in older people.29-34 Inappropriate prescribing can be detected using criterion-based
(explicit) or judgment-based (implicit) tools. Explicit criteria are derived from expert reports
or published reviews while implicit criteria rely on evaluator judgments.35 Some widely used
criteria to aid prescribing decisions in older people are the Beers criteria, the Screening Tool
of Older Persons potentially inappropriate Prescribing (STOPP) criteria and the Medication
Appropriateness Index (MAI). Limitation of these criteria is that they focus entirely on older
populations, who are only a subset of persons at end of life. This is of particular concern for
several reasons. Firstly, all patients with life limiting illness are not always older and
secondly, medications such as non –steroidal anti-inflammatory drugs (NSAIDs), short-
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acting benzodiazepines and antidepressants commonly used in a palliative care setting for
symptomatic treatment associated with life limiting illness are considered inappropriate
according to these criteria. Our study reported statins as most frequently used inappropriate
preventive medication but criteria such as Beers and STOPP do not consider lipid-lowering
medications as inappropriate, as this class of drug are not part of these instruments. These
tools require adaptation so that they can be used in all patients with life limiting illnesses
even if they are not under the care of a specialist palliative care service.
Holmes and colleagues have proposed a prescribing model that is specific to this population5
but the framework is highly conceptual and is difficult to apply within a busy clinical setting.
Given this lack of standardisation, there is a clear need for guidelines and frameworks to
guide prescribing for populations with life-limiting illness. Patients with life-limiting illness
should benefit from an approach that evaluates their function level and considers their
remaining life expectancy with frequent monitoring and review. Unfortunately, the currently
available tools, guidelines and algorithms to optimize appropriate use of medication are
applicable only to robust, healthy older adults aged 65 and older which can’t be generalized
in to frail patients with limited life expectancy.35, 36 Moreover, there is minimal consensus on
how best to assess medication use at the end of life because of varied expert opinions and
limited evidence on the safety and efficacy of medications and limited research on the
patient’s views on their preferences with regards which medicines to stop to achieve their
personalised goals of therapy.37, 38
Deprescribing- a term used to describe the rationalisation of medicines has gained particular
attention in recent years. It is defined as the systematic process of identifying and
discontinuing drugs when existing or potential harms outweigh existing or potential benefits
within the context of an individual patient’s care goals, current level of functioning, life
expectancy, values, and preferences.39 From the studies identified in our review, only four
reported instances of medication withdrawal. Currow et al reported a steady reduction in
number of medication for comorbidities as death approached but there was an increase in the
number of medications with a Beers’ criterion of high risk for inappropriate use in older
people for symptom-specific medications (29% to 48%).13 A randomised controlled trial by
Kutner et al in a population with a median survival of approximately 7 months and primary
diseases evenly divided between cancer and noncancer diagnoses had 189 patients whose
statin therapy was discontinued.19 They found that stopping statin therapy is safe and helps
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improve quality of life. Riechelman et al reported that 78 (20%) patients with advanced
cancer after being assessed by the palliative care team, continued on at least one futile
medication while statins were discontinued in four patients.15 Silveria et al observed no
difference in statin prescribing patterns by presence of recognizable, life limiting condition,
but witnessed some statin discontinuation for all patients over time.16 While the studies
involved in this review report increased medication burden towards the end of life,
generalization is difficult because studies were limited only up to two years of life expectancy
which might be significantly confounded by physicians inability to predict survival.
Extensive deprescribing, however, might not be an intervention that directly improves
outcomes. Considering polypharmacy as always hazardous and a powerful indicator for
medication review need to be reconsidered based on the clinical context of the intended use.40
While all long-term preventive medications should be reviewed to determine which
medicines could be discontinued safely in the time available, new symptom control
medications that reduce the risk of adverse events may be introduced which might increase
the number of medications prescribed (appropriate polypharmacy). Deprescribing should be a
part of the good prescribing continuum, which must take into consideration of how long
treatment is required and when and how it should be discontinued when medicines are started
and throughout continuation of treatment. A discussion about patients’ current status and
likely disease trajectory should be initiated with the patient when medicines are started.
Discussion about how the medication fits into a treatment plan given this anticipated
trajectory and possible changes in goals of care should be included.41 There should be a plan
in place for medications that are no longer part of the overall care plan.
Healthcare professionals, patients and families with life-limiting illness continue to need
practical help in making decisions. Therefore, a consensus guideline is needed that aids
decision making which is in the best interest of the patient and patient’s families and in
accordance with the principles of good clinical practice. The consensus framework should
facilitate the development of a pragmatic and easily applied algorithm for medication review
that offers an evidence-based approach for decisions to withhold, withdraw or limit
preventive medications in patients with life-limiting illness. It should also encourage users to
explore evidence-based non-pharmacological methods of treatment as an option and
encourage understanding of patient needs from a biopsychosocial perspective to enable
improved collaboration.
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CONCLUSION
Patients continue to receive medications that are not prescribed as symptomatic treatment
despite having a limited life expectancy. Very few rigorous studies have been conducted on
reducing preventive medications in patients with limited life expectancy and expert opinion
varies on medication optimisation at the end of life.
Therefore, bringing together key stakeholders including medical experts to develop a
consensus guideline for practical use that addresses this gap is of paramount importance. The
guideline should provide a framework in which decisions can be made based on good clinical
practice and best interest of the patient and patient’s families.
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19. Kutner JS, Blatchford PJ, Taylor DH, Jr., et al. Safety and benefit of discontinuing statin therapy in the setting of advanced, life-limiting illness: a randomized clinical trial. JAMA internal medicine. 2015;175:691-700. 20. Sera L, McPherson ML, Holmes HM. Commonly prescribed medications in a population of hospice patients. Am J Hosp Palliat Care. 2014;31:126-131. 21. McLean S, Sheehy-Skeffington B, O'Leary N, O'Gorman A. Pharmacological management of co-morbid conditions at the end of life: is less more? Ir J Med Sci. 2013;182:107-112. 22. Min LC, Wenger NS, Fung C, et al. Multimorbidity is associated with better quality of care among vulnerable elders. Med Care. 2007;45:480-488. 23. Russell BJ, Rowett D, Abernethy AP, Currow DC. Prescribing for comorbid disease in a palliative population: focus on the use of lipid-lowering medications. Intern Med J. 2014;44:177-184. 24. Stavrou EP, Buckley N, Olivier J, Pearson S-A. Discontinuation of statin therapy in older people: does a cancer diagnosis make a difference? An observational cohort study using data linkage. BMJ open. 2012;2:e000880. 25. Tjia J, Cutrona SL, Peterson D, et al. Statin discontinuation in nursing home residents with advanced dementia. J Am Geriatr Soc. 2014;62:2095-2101. 26. LeBlanc TW, McNeil MJ, Kamal AH, Currow DC, Abernethy AP. Polypharmacy in patients with advanced cancer and the role of medication discontinuation. Lancet Oncol. 2015;16:e333-341. 27. Alexander GC, Sayla MA, Holmes HM, Sachs GA. Prioritizing and stopping prescription medicines. CMAJ. 2006;174:1083-1084. 28. Sergi G, De Rui M, Sarti S, Manzato E. Polypharmacy in the elderly: can comprehensive geriatric assessment reduce inappropriate medication use? Drugs Aging. 2011;28:509-518. 29. Campanelli CM. American Geriatrics Society updated beers criteria for potentially inappropriate medication use in older adults: the American Geriatrics Society 2012 Beers Criteria Update Expert Panel. J Am Geriatr Soc. 2012;60:616. 30. O'Mahony D, O'Sullivan D, Byrne S, et al. STOPP/START criteria for potentially inappropriate prescribing in older people: version 2. Age Ageing. 2014:afu145. 31. Knight EL, Avorn J. Quality indicators for appropriate medication use in vulnerable elders. Ann Intern Med. 2001;135:703-710. 32. McLeod PJ, Huang AR, Tamblyn RM, Gayton DC. Defining inappropriate practices in prescribing for elderly people: a national consensus panel. Can Med Assoc J. 1997;156:385-391. 33. Basger BJ, Chen TF, Moles RJ. Inappropriate medication use and prescribing indicators in elderly Australians. Drugs Aging. 2008;25:777-793. 34. Hanlon JT, Schmader KE, Samsa GP, et al. A method for assessing drug therapy appropriateness. J Clin Epidemiol. 1992;45:1045-1051. 35. Poudel A, Hubbard RE, Nissen L, Mitchell C. Frailty: a key indicator to minimize inappropriate medication in older people. QJM. 2013:hct146. 36. Poudel A, Peel NM, Nissen L, et al. A systematic review of prescribing criteria to evaluate appropriateness of medications in frail older people. Rev Clin Gerontol. 2014;24:304-318. 37. Greene B. Transformative advance care planning: the Honoring Choices Minnesota experience. Creat Nurs. 2013;19:200-204. 38. Steinhauser KE, Christakis NA, Clipp EC, et al. Factors considered important at the end of life by patients, family, physicians, and other care providers. JAMA. 2000;284:2476-2482.
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39. Scott IA, Hilmer SN, Reeve E, et al. Reducing inappropriate polypharmacy: the process of deprescribing. JAMA internal medicine. 2015;175:827-834. 40. Payne RA, Abel GA, Avery AJ, Mercer SW, Roland MO. Is polypharmacy always hazardous? A retrospective cohort analysis using linked electronic health records from primary and secondary care. Br J Clin Pharmacol. 2014;77:1073-1082. 41. Todd A, Holmes HM. Recommendations to support deprescribing medications late in life. Int J Clin Pharm. 2015;37:678-681.
Disclosures and Acknowledgments
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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Appendix 1: Example of Medline search strategy (online only)
1. life limiting illness
2. life limiting condition
3. advanced cancer
4. advanced dementia
5. advanced COPD
6. end stage renal failure
7. advanced heart failure
8. limited life expectancy
9. diminished life expectancy
10. short life expectancy
11. end of life
12. terminal
13. palliative
14. Combine 1-13
15. preventive medication
16. preventive medicine
17. preventive medication use
18. statin
19. bisphosphonate
20. antiplatelet
21. antihypertensive
22. vitamins
23. minerals
24. Combine 15-23
25. Combine 14 and 24
Filters: Publication date from 1995/01/01 to 2015/12/31;
Humans;
English;
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Table 1: An overview of included studies
Reference,
year,
country
Study
design/setting
Population
characteristics
Sample (n);
Age (years)
Remaining
life
expectancy
Study outcome Examples of
preventive
medication used
Evidence
of
medicati
on dis-
continua
tion
Barcelo et
al., 2014,
Spain9
Retrospective
study in
geriatric ward
n = 72, mean
age 85.4 years
Median
survival of
≤6 months
Patients were receiving substantial
number of prophylactic medications,
medications to prolong life and other
inappropriate treatments
Antiplatelets, oral
anticoagulants,
statins, osteoporosis
medications
No
Blass et al.,
2008, USA17
Prospective
cohort study in
nursing home
n = 125, mean
age 81.5 (SD
7.1) years
12 months Patients were prescribed multiple
medications and the total number
remained fairly stable as death
approached. Even during the final stage
Antibiotics,
pulmonary agents.
No
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of dementia, patients were prescribed
both palliative and non-palliative
pharmacological treatment
Currow et
al., 2007,
Australia13
Prospective
cohort study in
specialized
palliative care
services.
n = 260, mean
age 71 ± 12
4 months As death approached, there was an
increase in number of high risk
inappropriate medications (from 29% to
48%). Symptom-specific medications
were prescribed more in people with
better performance status
Proton pump
inhibitors, digoxin,
amiodarone, aspirin,
iron supplements
Yes
Evans et al.,
2014,
Netherlands
14
Cross-sectional
retrospective
study in a
general
practice
network
n = 688, mean
age; patients
with cancer
71.67, organ
failure 82.23
and old-
3 months The findings suggest the need to
integrate palliative care with optimal
disease management to initiate advance
care planning early in the chronic disease
trajectory
NA No
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age/dementia
87.70
Fede et al.,
2011, Brazil
10
Cross sectional
study in
teaching
hospital
n = 87, median
age 61 years
(range 27-88
years)
6 months Patients with advanced cancer are
prescribed with many unnecessary
medications. Routine medication
reconciliation in this patient group is
warranted
Statins, antidiabetic,
gastric protectors
No
Heppenstall
et al., 2015,
New
Zealand18
Cross-sectional
study in
residential
aged care
facility
n = 6196,
median age 86
years
12 months Cardiovascular preventative medications
were significantly more common in those
who died within 12 months.
Psychotropics were prescribed in 70%
patients in high-level care. Potentially
inappropriate medications were also
commonly used
Psychotropics, anti-
hypertensives, anti-
platelet, statins,
bisphosphonates
No
Kutner et al., Multicenter, n = 381, mean 12 months Discontinuing statin in populations with Statins Yes
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2015, USA19
unblinded
clinical trial in
palliative care
age 74.1 ± 11.6
limited life expectancies is safe and is
associated with improved quality of life
as well as reduced medication costs.
Patient-provider discussions regarding
the uncertain benefits with statin use in
these populations are needed
Lindsay et
al., 2015,
Australia11
Prospective
cohort study in
teaching
hospital
n = 61, median
age 66 years
< 6 months Of total medications prescribed, 21.4%
were identified as potentially
inappropriate medications (PIMs). Forty-
three (70 %) patients were taking at least
one PIM
Aspirin/
anticoagulants,
dyslipidemia,
antihypertensive,
psychotropics,
steroids
No
McLean et
al., 2013,
Ireland 21
Retrospective
review in
palliative care
n = 52, median
age 74.5 years
(range 36-91
24 months One week before death, one-third of
patients continued to be prescribed
aspirin, and over one-quarter a statin
Aspirin, statin No
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years)
Min et al.,
2007, Japan
22
Observational
cohort study in
community
settings
n = 372, mean
age 81 years
24 months Quality improvement initiatives aimed at
the care of vulnerable older adults can
be based on quality measures that take
into account life expectancy and patient
preferences
NA No
Onder et al.,
2013, Italy 12
Cross sectional
study in
nursing homes
n = 822, mean
age 84.6 (SD
8.0) years
6 months Life expectancy should be assessed in
older adults to optimize prescribing and
to simplify drug regimens among those
with limited life expectancy
Beta blockers,
digoxin, antibiotics
No
Riechelmann
et al., 2009,
Canada 15
Retrospective
study in
teaching
hospital
n = 372,
median age 66
years (range
22-94 years)
Median
survival of 2
months
About one fifth of cancer patients at the
end of life take futile medications
Statins, allopurinol,
multivitamins
Yes
Russell et al., Prospective n = 203, mean 24 months Polypharmacy was prevalent in this Statins and other No
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2014,
Australia23
review in
palliative care
service
age 72.9 ± 12.6
population, with an average of more
than seven medications per patient
lipid-lowering
medications
Sera et al.,
2014, USA 20
Retrospective
cross-sectional
study in
palliative care
n = 4252,
mean age 77.5
(SD 14.3) years
12 months Several commonly used drugs were likely
being used to treat chronic conditions
such as metoprolol for hypertension,
simvastatin for hyperlipidemia, and
aspirin for cardioprotection in patients in
the last month of life
Anxiolytics,
anticholinergics,
antipsychotics
No
Silveira et al.,
2008, USA 16
Case-control
trial in
Veterans
medical center
n = 1584, age:
cases 72.5 ±
9.1, controls
74.6 ± .9
6 months Statins are prescribed frequently in the
last year of life. Patient’s diagnosis had
no effect on prescribing patterns
Statins Yes
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1
Table 2: List of medications used
Author Medication used
Preventive Symptom control
Barcelo et al
Antiplatelet
Anticoagulants
ACE inhibitors or ARBs*
Calcium channel blockers
Diuretics
Corticosteroids
Alpha-blockers
Beta-blockers
Chlorpropamide
Vitamins
Antidepressants
Benzodiazepines
Opiates
Iron
Statins
Antiosteoporosis drugs
Antibiotics
Non-opiate analgesics
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Blass et al
Gastrointestinal
Cardiovascular
Dermatologic
Opiate analgesics
Antidementia drugs
Antipsychotics
Oral hypoglycaemic agents
Statins
Currow et al
Gastrointestinal
Diuretics
Inhaled corticosteroids and bronchodilators
Nitrates
Beta-blockers
Antiulcer agents
Beta-blockers
Digoxin
Iron
Antiplatelet
Evans et al NA
Fede et al
Statins
Gastrointestinal
Oral hypoglycaemic agents
Vitamin D with calcium
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3
ACE inhibitors or ARBs
Beta-blockers
Oral hypoglycaemic agents
Heppenstall
et al
Antipsychotics
Analgesics
Alpha-blockers
Antiplatelet
Diuretics
Statins
Antiosteoporosis drugs
Inhaled corticosteroids and bronchodilators
Oral hypoglycaemic agents
Warfarin
Antiparkinsonian drugs
Kutner et al Statins
Antiplatelet
Anticoagulants
Alpha-blockers
Statins
Antiosteoporosis drugs
Gastrointestinal
Oral hypoglycaemic agents
Opiate analgesics
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Lindsay et al
Non-opioid analgesics
Corticosteroids
Analgesics
Laxatives
Benzodiazepines
Antiemetics
Insulins
Inhaled corticosteroids and bronchodilators
Antipsychotics
McLean et al
Antiplatelet
Beta-blockers
Statins
Diuretics
ACE inhibitors or ARBs
Calcium channel blockers
Antiosteoporosis drugs
Digoxin
Min et al NA
Gastrointestinal
Antipsychotics
Antidementia drugs
Antidepressants
Diuretics
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Onder et al
Antiplatelet
ACE inhibitors or ARBs
Beta-blockers
Calcium channel blockers
Statins
Digoxin
Antiosteoporosis drugs
Oral hypoglycaemic agents
Insulin
Vitamins
Corticosteroids
Riechelmann
et al
Statins
Multivitamins
Benzodiazepines
Analgesics
Russell et al Statins
Opiate analgesics
Anxiolytic
Non opioid analgesic
Anticholinergic
Antipsychotic
Antihypertensive
Statins
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Sera et al
Bronchodilator
Acid reducer
Antiinfective
Antidepressant
Multivitamins
Diuretics
Corticosteroids
Antiplatelet
Antiemetics
Thyroid Hormones
Silveira et al Statins
*ACEI = angiotensin converting enzyme inhibitor *ARB = angiotensin receptor blocker
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