Abstract

BackgroundPolypharmacy is common among older people and is associated with an increased mortality risk. However, little is known about whether the mortality risk is related to specific medications among older adults with polypharmacy. This study therefore aimed to investigate associations between high-risk medications and all-cause and cause-specific mortality among older adults with polypharmacy.MethodsThis study included 1356 older adults with polypharmacy (5+ long-term medications a day for conditions or symptoms) from Wave 6 (2012/2013) of the English Longitudinal Study of Ageing. First, using the agglomerative hierarchical clustering method, participants were grouped according to the use of 14 high-risk medication categories. Next, the relationship between the high-risk medication patterns and all-cause and cause-specific mortality (followed up to April 2018) was examined. All-cause mortality was assessed by Cox proportional hazards model and competing-risk regression was employed for cause-specific mortality.ResultsFive high-risk medication patterns—a renin-angiotensin-aldosterone system (RAAS) inhibitors cluster, a mental health drugs cluster, a central nervous system (CNS) drugs cluster, a RAAS inhibitors and antithrombotics cluster, and an antithrombotics cluster—were identified. The mental health drugs cluster showed increased risks of all-cause (HR = 1.55, 95%CI = 1.05, 2.28) and cardiovascular disease (CVD) (SHR = 2.11, 95%CI = 1.10, 4.05) mortality compared with the CNS drug cluster over 6 years, while others showed no differences in mortality. Among these patterns, the mental health drugs cluster showed the highest prevalence of antidepressants (64.1%), benzodiazepines (10.4%), antipsychotics (2.4%), antimanic agents (0.7%), opioids (33.2%), and muscle relaxants (21.5%). The findings suggested that older adults with polypharmacy who took mental health drugs (primarily antidepressants), opioids, and muscle relaxants were at higher risk of all-cause and CVD mortality, compared with those who did not take these types of medications.ConclusionsThis study supports the inclusion of opioids in the current guidance on structured medication reviews, but it also suggests that older adults with polypharmacy who take psychotropic medications and muscle relaxants are prone to adverse outcomes and therefore may need more attention. The reinforcement of structured medication reviews would contribute to early intervention in medication use which may consequently reduce medication-related problems and bring clinical benefits to older adults with polypharmacy.

Highlights

  • Polypharmacy is common among older people and is associated with an increased mortality risk

  • This study supports the inclusion of opioids in the current guidance on structured medication reviews, but it suggests that older adults with polypharmacy who take psychotropic medications and muscle relaxants are prone to adverse outcomes and may need more attention

  • Over the 6-year follow-up, only the mental health drugs cluster showed a raised risk of all-cause mortality (HR = 1.55, 95% Confidence interval (CI) = 1.05, 2.28, p = 0.028) and cardiovascular disease (CVD) mortality (SHR = 2.11, 95% CI = 1.10, 4.05, p = 0.024) compared with the central nervous system (CNS) drugs cluster

Read more

Summary

Introduction

Polypharmacy is common among older people and is associated with an increased mortality risk. Little is known about whether the mortality risk is related to specific medications among older adults with polypharmacy. This study aimed to investigate associations between high-risk medications and all-cause and cause-specific mortality among older adults with polypharmacy. Polypharmacy is a justifiable result of multimorbidity and has become prevalent among older people. In response to the fact that polypharmacy is related to under- or over-prescribing [4], appropriate polypharmacy refers to prescribed medications being optimised with the best evidence. Clinical guidelines are single-disease-based, which may not take the complexity of multimorbidity and polypharmacy into account, and the evidence for the optimisation of nonprescription medications seems to be unavailable. The assessment of polypharmacy is subject to data availability in population-based studies and must be individualised for each person

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call