In this blog for our dementia series (#dementiaspotlight), geriatrician Kit Byatt considers the state of the evidence on drug withdrawal in people with dementia.
As a practising geriatrician I am fascinated by the challenge of over-enthusiastic medication in older people, especially in those who are frail. I teach our junior doctors the equation:
multimorbidity x therapeutic enthusiasm = polypharmacy
I recently joined a GP colleague in his weekly visit to a local nursing home [NH]. We had discussed the problem of prescribing for frail patients with multiple diseases and we decided to undertake some reflective CPD together.
Too many medicines?
Multiple medications are common in NH residents. That said, there is no one agreed definition of polypharmacy, both qualitative and quantitative definitions being used by different groups.[i] A session lasting a couple of hours effortlessly generated twenty topics, ranging from the management of A health condition (or episodes of a health condition) that comes on quickly and is short-lived. More gout, via diagnosing dehydration, through to what might be the correct dose of loop diuretic in a patient with impaired kidney function.
Many of these residents had been on a cocktail of medications started many months or years earlier, by another practitioner. The rationale, and specific A way of expressing the chance of an event taking place, expressed as the number of events divided by the total number of observations or people. It can be stated as ‘the chance of falling were one in four’ (1/4 = 25%). This measure is good no matter the incidence of events i.e. common or infrequent. More/benefit analysis for the patient in question is rarely evident[ii]. The discussions become more complex when considering patients with dementia, who constitute some 75% of residents[iii], and over half of whom are likely to be on at least 5 medications[iv]. This constitutes a significant challenge.
Cochrane evidence on drug withdrawal
When I found out that two In systematic reviews we search for and summarize studies that answer a specific research question (e.g. is paracetamol effective and safe for treating back pain?). The studies are identified, assessed, and summarized by using a systematic and predefined approach. They inform recommendations for healthcare and research. More of Randomization is the process of randomly dividing into groups the people taking part in a trial. One group (the intervention group) will be given the intervention being tested (for example a drug, surgery, or exercise) and compared with a group which does not receive the intervention (the control group). More A trial in which a group (the ‘intervention group’) is given a intervention being tested (for example a drug, surgery, or exercise) is compared with a group which does not receive the intervention (the ‘control group’). More (RCTs) had recently been published by the Cochrane Dementia and Cognitive Improvement Group, I was excited – maybe I would find the answer to some of my questions!
The first was Statin Withdrawal in People with Dementia.[v] Statins have been a topic stimulating controversy ever since their introduction into practice – initially because of the high cost of prescribing them to the large number of people with cardiovascular risk factors, and latterly because of the debate about their true risk/benefit profile, not least in older patients.[vi] This systematic review set out to: ‘evaluate the effects of withdrawal or continuation of statins in people with dementia on: cognitive Outcomes are measures of health (for example quality of life, pain, blood sugar levels) that can be used to assess the effectiveness and safety of a treatment or other intervention (for example a drug, surgery, or exercise). In research, the outcomes considered most important are ‘primary outcomes’ and those considered less important are ‘secondary outcomes’. More, adverse events, behavioural and functional outcomes, death More, quality of life, vascular illness or harm More, and healthcare costs.’ The usual main databases were searched for randomised controlled trials. The good news was that the main result was that 28 papers were found. The bad news? All were excluded! This is officially an evidence-free area.
The second review was Antihypertensive withdrawal for the prevention of cognitive decline.[vii] This was more challenging for me, conceptually. I found it difficult to accept the underlying idea that withdrawing antihypertensive therapy for a matter of days or weeks might have a measurable effect on cognition. Given the variability in cognitive testing (for example, the MMSE is reckoned to fall approximately 3-4 points per year[viii]) the ability to be sure of both the validity and the cause of a small change over a short period of time must be very limited. It therefore came as no surprise to me that only two studies – including just under 2,500 patients overall – survived the rigorous Cochrane screening process.
In the first RCT, antihypertensive Something done with the aim of improving health or relieving suffering. For example, medicines, surgery, psychological and physical therapies, diet and exercise changes. More was withdrawn for a mere 7 days after an acute stroke and cognitive function (using telephone assessments) was measured at 90 days. The cognitive function scores failed to differentiate the groups and the evidence was assessed as being too poor quality (because of risk of Any factor, recognised or not, that distorts the findings of a study. For example, reporting bias is a type of bias that occurs when researchers, or others (e.g. drug companies) choose not report or publish the results of a study, or do not provide full information about a study. More, indirectness and lack of corroboration) to draw any inferences from. In the longer An investigation of a healthcare problem. There are different types of studies used to answer research questions, for example randomised controlled trials or observational studies. More, treatment was withdrawn for 16 weeks and cognitive function change over that period was assessed. There was no clinically (or statistically) significant difference in the change in cognitive function scores between groups. Sadly, certain prespecified outcomes of interest in the trials (falls, hospitalisation) were not reported.
What have I learnt from this?
Firstly, as suggested in a BMJ editorial 5 years ago, research in this area is woefully inadequate.[ix] This echoes another Cochrane systematic review, one examining interventions to improve polypharmacy for older people.[x] It managed to accumulate only 12 relevant trials in this field from the world literature. The latter did suggest that inappropriate prescribing could be reduced with appropriate interventions, although the Data is the information collected through research. More were unclear as to whether Clinical significance is the practical importance of an effect (e.g. a reduction in symptoms); whether it has a real genuine, palpable, noticeable effect on daily life. It is not the same as statistical significance. For instance, showing that a drug lowered the heart rate by an average of 1 beat per minute would not be clinically significant, as it is unlikely to be a big enough effect to be important to patients and healthcare providers. More improvement could be achieved in so doing.
Secondly, the data we have focuses on quantitative, easily measured outcomes. Patient-centred outcomes are still sadly lacking.[xi] Flagship journals are still reluctant to publish qualitative data. We have a long way to go to overcome biases against patients in Clinical trials are research studies involving people who use healthcare services. They often compare a new or different treatment with the best treatment currently available. This is to test whether the new or different treatment is safe, effective and any better than what is currently used. No matter how promising a new treatment may appear during tests in a laboratory, it must go through clinical trials before its benefits and risks can really be known. More.
There is much to be done. I suspect that real world block randomised withdrawal trials in the NH The group of people being studied. Populations may be defined by any characteristics e.g. where they live, age group, certain diseases. More may give us more information than rigorous studies in hospital. External validity (i.e. applicability in the messy real world of clinical medicine) is key in this area, and maybe more important than internal validity (i.e. rigour in controlling as many variables as possible, other than the A treatment, procedure or programme of health care that has the potential to change the course of events of a healthcare condition. Examples include a drug, surgery, exercise or counselling. More). While we wait for these studies, I will continue to work with local primary care colleagues to try to reduce the medication burden on our older, frailer, patients.
References may be found here.
Conflict of interest disclosure. Kit Byatt reports: I am chair of trustees of the charity Animal-Free Research (UK) [formerly The Dr Hadwen Trust]. Its core purpose is to fund the development of research methods to replace animal-based experiments, in order to improve scientific rigour and human relevance, as well as reducing unnecessary animal suffering. This is a voluntary, unpaid, position, although some of my expenses are reimbursed.