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Using the Clinical Frailty Scale in Allocating Scarce Health Care Resources

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Abstract

The key idea behind the Clinical Frailty Scale (CFS) is that, as people age, they are more likely to have things wrong with them. Those things they have wrong (health deficits) can, as they accumulate, erode their ability to do the high order functions which define their overall health. These high order functions include being able to: think and do as they please; look after themselves; interact with other people; and move about without falling. The Clinical Frailty Scale brings that information together in one place. This paper is a guide for people new to the Clinical Frailty Scale. It also introduces an updated version (CFS version 2.0), with revised level names (e.g., "vulnerable" becomes "living with very mild frailty") and minor edits to level descriptions. The key points discussed are that the Clinical Frailty Scale assays the baseline state, it is not widely validated in younger people or those with stable single-system disabilities, and it requires clinical judgement. The Clinical Frailty Scale is now commonly used as a triage tool to make important clinical decisions such as allocating scarce health care resources for COVID-19 management; therefore, it is important that the scale is used appropriately.
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ABSTRACT
The key idea behind the Clinical Frailty Scale (CFS) is that,
as people age, they are more likely to have things wrong with
them. Those things they have wrong (health decits) can,
as they accumulate, erode their ability to do the high order
functions which dene their overall health. These high order
functions include being able to: think and do as they please;
look after themselves; interact with other people; and move
about without falling. The Clinical Frailty Scale brings that
information together in one place. This paper is a guide for
people new to the Clinical Frailty Scale. It also introduces an
updated version (CFS version 2.0), with revised level names
(e.g., “vulnerable” becomes “living with very mild frailty”)
and minor edits to level descriptions. The key points discussed
are that the Clinical Frailty Scale assays the baseline state, it
is not widely validated in younger people or those with stable
single-system disabilities, and it requires clinical judgement.
The Clinical Frailty Scale is now commonly used as a triage
tool to make important clinical decisions such as allocating
scarce health care resources for COVID-19 management;
therefore, it is important that the scale is used appropriately.
Key words: frailty, Clinical Frailty Scale, ageing
Why This Paper?
This short paper is meant to be a guide for people new to
the Clinical Frailty Scale. It should be seen as supplement-
ing, not competing with, the many useful guides that have
become available, especially in the setting of the COVID-19
pandemic. This work builds on existing resources about how
to use the scale. Here we will discuss what frailty is, how the
Clinical Frailty Scale arose, how it works now, and what can
be done to check on its reliability and usefulness (both sit
within the traditional notion of validity). We will introduce an
updated version (CFS version 2.0) with revised level names
and minor edits to level descriptions (Figure 1). We will also
suggest some steps that may be helpful to those who wish to
use frailty for assessment rather than for screening. These are
meant to complement, not replace, their individual disciplin-
ary approach. Finally, we will reect on what we have learned
about using the Clinical Frailty Scale over the years, and on
the frailty discourse that began long before the Scale was de-
veloped. Most is grounded in evidence; that which is specula-
tive we hope will be useful, if only for hypothesis generation.
The Clinical Frailty Scale is being used in many settings
to help guide decisions that are based on the degree of frailty.
That is neither rare nor, on its own, undesirable. Care plans
should vary by the degree of frailty—for example, by the
ability to climb stairs before being discharged, or to under-
take (versus be assisted with) personal care. The COVID-19
pandemic brings with it an uncomfortable difference. With
these assessments now come decisions about offering—or not
offering—resources that are, or may become scarce, such as
intubation or agents that increase blood pressure in someone
in shock. Although rationing is not part of ordinary care, it is
inevitable; if done properly, it can be made acceptable at the
system level in the setting of a public health emergency.(1)
That being the case, many people less than familiar with
the notion of frailty are now being called upon to conduct frailty
assessments. This is challenging because the evaluation of
people who are frail requires not only cognitive skills, but also
the affective and attitudinal ones needed to work with people
who have multiple, interacting medical and social problems.(2)
What Is Frailty?
Frailty is a state of increased risk.(3) Inasmuch as most health
risks increase with age, a handy way to think about frailty is
that it is a risk compared with others of the same age.* Like
the risk of dying, on average frailty increases with age. People
are frail when they have more things wrong with them than do
Using the Clinical Frailty Scale in Allocating
Scarce Health Care Resources
Kenneth Rockwood, MD1, Olga Theou, PhD1,2
1Division of Geriatric Medicine, Department of Medicine, Faculty of Medicine, Dalhousie University;
2School of Physiotherapy, Faculty of Health, Dalhousie University, Halifax, NS
https://doi.org/10.5770/cgj.23.463
COMMENTARIES
© 2020 Author (s). Published by the Ca nadia n Ger iat rics So ciety. This i s an Op en Acces s ar ticle dis trib uted u nder th e ter ms of the C reat ive Commons At tr ibution No n-Com mer cial
No-De rivative lic ense (http://creativecommons.org/licenses/by-nc-nd/2.5/ca/), which perm its unrest ricted non -commerc ial use and di stribution, provid ed the origi nal work is prop erly cited.
*This conforms to the statistical notion of frailty as variability in
risk compared with others with the same degree of exposure. The
scale is built on the idea of age-related decit accumulation. People
of the same age are at greater risk in virtue of having more health
decits than do others of the same age. The Clinical Frailty Scale
maps the consequences of this that precede death: decrements in
high order functions.
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others of the same age. Although that might not seem like a
big deal, it is a real challenge for how we deliver health care.
Medicine’s tremendous success in treating people one illness
at a time leads to the belief that is how people should get sick.
As our population ages though, because frailty and age travel
together, many of our patients have many things wrong at
the same time. That is the challenge we face: their chance of
having more things wrong with them increases as they age.
As these health decits accumulate, they have clinical
consequences, including in how diseases present, how often
more than one illness is active at a time, how people are able
to tell us about their symptoms or cooperate with our exams,
how drugs work, and how likely it is that we can succeed
similar to when treating people who have just a single pre-
dominant illness. By understanding frailty and changing what
we offer to meet the needs of people who live with it, we can
face that challenge. The Clinical Frailty Scale, developed in
Halifax, Nova Scotia in the 1990s, considers the things that
most often go wrong as age-related health decits accumulate.
(4) It robustly predicts adverse health outcomes in a variety of
settings, including acute care.(5)
What is the Clinical Frailty Scale?
The Clinical Frailty Scale is an inclusive 9-point scale that was
originally developed to summarize the overall level of tness
or frailty of an older adult after they had been evaluated by
a health care professional. The scale is scored so that higher
scores mean greater risk. It is not a questionnaire. Grading
the degree of frailty requires clinical judgement that is based
in part on screening criteria, and which then considers what
broadly straties degrees of tness and frailty. The scale fo-
cuses on items that can be readily observed without specialist
training, including mobility, balance, use of walking aids,
and the abilities to eat, dress, shop, cook, and bank. For this
reason, scoring should match the description, and should not
be based solely on the pictures that accompany each level.
The key to scoring the Clinical Frailty Scale is to de-
termine the person’s baseline health state. This is especially
needed in clinical settings where health can change quickly.
For example, many older patients in the Emergency Depart-
ment who were t two weeks ago (their baseline state), may
appear to be frail while ill; a prospect that becomes more
likely the longer they wait there. Still, as discussed below,
FIGURE 1. The Clinical Frailty Scale (CFS) version 2.0
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their prognosis requires information about both their baseline
degree of frailty, and the severity of their acute illness.
In ordinary time (i.e., with no pandemic), the Clinical
Frailty Scale is used both in prognosis and to set care goals. In
geriatric medicine, goals of care extend much beyond the often
desultory exercise of “getting the code status”. Usually much
more relevant is understanding the baseline state and current
decrements from it, which raise questions such as: “Does the
patient have the manual dexterity to handle the mechanics of
toileting? Do they need to climb stairs to get home?” If not,
and depending on the capacity of whomever (if anyone) might
be able to help them at discharge, goals of care need to be set
in these domains. This information also facilitates prognosis:
the greater the decline from the baseline state, the more energy
it will take to recover. Given that intensity of effort may be
limited by illness, this energy is often expressed as a function
of time to recovery. Recovery time can be monitored from
the start. It appears that the rst 48 hours of hospitalization
(preliminary data from Dr. Samuel D. Searle at our centre
suggest up to 4 days in ICU patients) is information rich.(6)
Those who improve in how they move in bed do well; those
who show decline fare especially poorly. In consequence,
even recognizing the interplay between baseline frailty and
severity of illness, many patients are well served by a trial
of therapies. This provides a way to avoid the common, but
false, dichotomy between “letting your father die” and “doing
everything we can”.
In a pandemic, these nuances may be less relevant when
an older person has become ill enough that admission to the
intensive care unit is being considered. Critical illness car-
ries a clear age-related burden; in Italy, of the initial 18,366
COVID-19 deaths, 83% were aged 70 years and older.(7) As in
ordinary time, the stratication of risk must also consider the
severity of illness.(8,9) In critically ill people with COVID-19,
this appears to be substantial for adults aged 65+ years—the
risk of death is more than 50% after 28 days.(10)
It is important to understand which older adults who are
critically ill with COVID-19 disease might withstand both
the illness and its treatment in an Intensive Care Unit. Inter-
national responses vary, but seem to settle around a Clinical
Frailty Scale score of 5(11) to 6(12) or higher being excluded
from ICU admission.
Before reviewing how the scale is used, it is crucial
to make a key additional point. The Clinical Frailty Scale,
developed to study frailty in older adults, has largely not
been validated in younger people. That is important because
disability in younger people (including both acquired, as in
spinal cord injury, and life-long, as in intellectual disability)
does not have the same meaning for prognosis that it does
with age-related disability. Understanding both this point and
that the Clinical Frailty Scale is a judgement-based measure
of the baseline state, we can proceed.
The scale can be introduced by saying something like:
“I’d like to know how you are [your parent is] doing overall.”
We then ask about four features: how the person moved,
functioned, thought, and felt about their health over the last
two weeks. We can ask about which medications the person
uses; experienced clinicians can quickly assay which illnesses
are likely present from what medications are being prescribed
and/or used. We also ask about how active the person is.
Using the Clinical Frailty Scale to Grade Degrees
of Fitness Prior to the Level of Risk Associated
with Frailty
How a person moves, functions, and think helps to delineate
the rst three levels of the scale. For example, consider a
patient who is not impaired in any instrumental or personal
activity of daily living (ADL), who is able to move read-
ily, and who is taking an angio-converting enzyme (ACE)
inhibitor. If that person is taking the ACE inhibitor for treat-
ment of hypertension and exercises or engages in vigorous
activity daily, their score would be Level 1– Very Fit. The
same prole, with regular but less frequent or less vigorous
physical activity would be scored as Level 2 – Fit (previously
“Well”). Another person who ts the broad description and
who is using the ACE inhibitor as part of post myocardial
infarction management, but whose ischemic heart disease has
been otherwise asymptomatic, would also be scored based
on their degree of physical activity. If their symptoms were
mostly controlled, but not entirely so, they would be scored
as Level 3 – Managing Well. Likewise, a person on an ACE
inhibitor as part of symptomatic management of congestive
heart failure would be scored as Level 3 – Managing Well,
as long as their symptoms did not limit activities, in which
case they would be scored as Level 4 – Living with Very Mild
Frailty (previously “Vulnerable”).
Using the Clinical Frailty Scale to Grade Clinically
Meaningfully Increased Risk
For Levels 4 to 7, mobility, function, and cognition are key
factors. Each reects high-order aspects of health: they inte-
grate a lot of information. This means that there are many ways
to have mobility problems, for example: a sprained ankle,
diabetic nerve damage, dehydration, heart failure, kidney
damage or pneumonia. In consequence, these key domains
are sensitive signs of health, but are not very specic. It is
the combination of impaired function and impaired mobility,
which are commonly accompanied by several illnesses, that
make it likely someone is frail.
Level 4 – previously “Vulnerable” is now Living with
Very Mild Frailty, reecting recent research with the Can-
adian Longitudinal Study of Aging that captures the increased
risk with the corresponding degree of decit accumulation.(13)
People with many chronic conditions often report incomplete
symptom control, and of feeling “slowed up” or tired. A similar
complaint is that their health stands in the way of doing as they
wish, or that what they had done easily is now accomplished
only with great effort. Otherwise, Level 4 is characterized by
Like many skills in clinical medicine, judgement should increase
with time. Particularly at the start, if how to classify the person is
not clear, ask a colleague whose judgement you trust.
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the person who, although not completely dependent in perform-
ing daily activities, seems at risk of at least mild dependence.
Identiable characteristics of this risk include incomplete
symptom control and a reduction in demanding activities.
Problems with heavy housework, lifting (e.g., difculty taking
out the trash) or climbing more than a ight of stairs are useful
signs. Although these activities might still be attempted, often
they are not done as well or as often. When asked, “compared
to others of your own age, how would you rate your health?”,
many at this stage will no longer rate their health as “excellent”
or even “good”, but rather as “fair” or “poor”.
Levels 5 to 7 relate to changes in function. Varying
degrees of dependence in instrumental ADLs dene Level
5 – Living with Mild Frailty (previously “Mildly Frail”). At
this level, typically, there is no more pretense of doing heavy
housework or the like—items that began to be impaired in
Level 4. A person does not need to be dependent in all de-
manding activities to qualify as Level 4, nor in all aspects of
instrumental ADLs to qualify as Level 5. We are interested in
change; someone who never did the banking would not now
be scored as dependent in that.
With Level 6 – Living with Moderate Frailty (previ-
ously “Moderately Frail”), dependence now extends past
instrumental ADLs to intermediate ones, notably including
dependence in bathing. Often at this level minimal assistance
with personal care might be needed. Moderate dementia is the
case when people who are dependent in their performance of
instrumental ADLs can still do their basic or personal ADLs
with prompting. This can also be the case in people who are
cognitively intact, but whose disability obliges them to have
someone nearby (so-called “standby assistance” or “set-up”).
Again considering bathing, an example of moderate frailty
might be requiring someone to draw the bath when the dis-
abled person has difculty managing the taps, or assisting
with transferring in and out of the tub, or washing their hair.
Notably, a systematic review found that bathing disability is
a risk factor for greater disability in personal ADLs.(14)
Level 7 – Living with Severe Frailty (previously “Se-
verely Frail”) is characterized by progressive dependence in
personal ADLs. People need not be dependent in every aspect
of personal care to be scored as Level 7. When assessing
functional dependence in intermediate (Level 6) and personal
(Level 7) ADLs, lifelong habit is a less relevant consideration;
most everyone needs to bathe, groom, and use the toilet. Still,
people living with severe frailty can be mobile. Progressively
taking to bed—but not being largely bedfast—is the hallmark
of the progression of severe frailty.
Using the Clinical Frailty Scale in People Towards
the End of Life
The understanding of what happens at the end of life has
evolved in relation to its association with ageing. Older people
who are terminally ill are much more likely to receive formal
palliative care if they have a diagnosis of cancer than if they
have a disease with a recognized terminal phase, such as
dementia or heart failure.(15)
Level 8 – Living with Very Severe Frailty (previously
“Very Severely Frail”) is the not uncommon state in which
a frail person takes to bed, often for weeks, prior to dying.
This is either heralded by an identiable episode, such as an
infection, or the person just slips away, commonly after some
days of reduced oral intake. Very severely frail people who
die without a single apparent cause typically follow such a
trajectory, commonly without much pain or even distress,
often, with the exception of impaired bowel function.
Level 9 – Terminally Ill is notable for being the only
level in which the current state trumps the baseline state, in
that the terminally ill person might have been operating at
any frailty level at baseline. On the Clinical Frailty Scale
card, this person is pictured seated in a chair. This reects
the fact that many older adults who are dying with a single
system illness—notably cancer—have a reasonable level of
function until about the very end. That is why we portray the
situation in that way. Even so, if a terminally ill person was
completely dependent for personal care at baseline, they would
be scored as Level 8.
Final Hints About Scoring and Next Steps
Within each level of the Clinical Frailty Scale, individual
characteristics will vary. About 80% or more of people will
t the description offered for a given level. If they t two
categories equally well, in routine care it is best to score the
scale at the higher or more dependent level. Sometimes we
see people who are dependent in a single instrumental ADL
that arises in a specic circumstance (e.g., relying on someone
whom they trust to do banking duties due to the closure of a
nearby bank branch or difculty with the automated banking).
In that case, the determination will often rest on the extent
to which the person is aware of income and outow; being
aware of it and knowing that it remains a matter of import-
ance can sufce. We recognize that there is likely to be some
variability in judgement in these circumstances, especially in
the extent to which the rater or the person (or the informant)
feel comfortable discussing such matters. This is inherent in
a judgement-based measure and, in our view, a price worth
paying compared with attempting to automate scoring that can
specify all the variants its designers can imagine.
Scoring the Clinical Frailty Scale in People with
Cognitive Impairment
The degree of dementia generally corresponds to the degree
of frailty. That is, mild dementia would go with mild frailty.
In both cases, the person is independent in their personal or
basic ADLs, but dependent in one or more instrumental ADLs.
These accompany common symptoms of mild dementia:
being able to recall a recent event but forgetting its details,
repeating questions throughout the day, and no longer being
able to use routines or cues to aid in either not losing items
or nding them once lost.
In moderate dementia, recent memory is very im-
paired, even though they seemingly can remember their past
life events well. As with moderate frailty, they can do their
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personal care with prompting or set-up. In severe dementia,
as in severe frailty, people have progressive difculty in
performing personal ADLs and require increasing amounts
of hands-on assistance.
Using a Classication Tree to Improve the
Reliability of Scoring
As of Spring 2020, we are beginning a multi-centre, multi-
country study using a classication tree to assist with grading
the degree of frailty; clinical judgement is still required to score
the Clinical Frailty Scale. Our goal is to improve the reliability
of scoring the CFS using the classication tree. Inasmuch as
the reliability will be measured in relation to the score given
by an experienced rater, this is also a form of validity. We will
further test validity by the ability to predict several outcomes
in relation to COVID-19, including progression from mild to
severe frailty, critical illness, mortality, and health care use.
Summary
This is a brief account of key points in using the Clinical
Frailty Scale. It can be read in conjunction with two con-
temporary papers in the Canadian Geriatrics Society CME
Journal(16,17) and with a paper on the Pictorial Fit-Frail Scale.
(18) The latter can help to bridge between screening and assess-
ment measures, and can itself be summarized by the Clinical
Frailty Scale. Additional resources include “Top Tips to help
you use the Clinical Frailty Scale” developed by our group,(19)
a Clinical Frailty Scale App developed by the Acute Frailty
Network in the UK(20) (this may be a useful alternative to
the classication tree we are testing), a Clinical Frailty Scale
Training Module developed by the AIMS Research Group at
the Ottawa Hospital,(21) and a Clinical Frailty Scale Education
Tool developed by the Non-Consultant Hospital Doctors of
the Cork University Hospital.(22)
Our target audience is people who are new to the Clinical
Frailty Scale and those who may be teaching about its use.
We put this work in the context that it must be used carefully
and combined with clinical judgement.(23) It should not be
used in younger people in whom lifelong or single system
disability does not have the same prognostic value as does that
seen as a manifestation of wide-spread decit accumulation.
Even so, applied properly, the Clinical Frailty Scale seems
likely to be much preferable to age when decisions must be
made about allocating scarce resources.(17,24) An additional
point to underscore is this: grading the degree of frailty in the
context of COVID-19 is not the same as using it in ordinary
care in geriatric medicine. In geriatric medicine, the goal of
grading the degree of frailty is both to ease communication
through a shared language, and also as the foundation for a
care plan. The care plan needs to address the gap between
the current level of function, cognition, mobility, and social
relationships (especially with the primary carer) and how
those have changed with the acute illness (when present).
There the focus is on trying to restore the baseline state, or as
close to that as might be achieved. This is a crucial distinction,
and one that requires considerable skill to dene, negotiate,
evaluate, and adjust over the course of an inpatient stay. It
should not be confused with the more instrumental purpose
to which the Clinical Frailty Scale is now being put, which
is no substitute for a patient-centred care plan. Even so, we
hope that widespread use of the Clinical Frailty Scale can at
least introduce new users to the manifold benets that are
possible with such an approach.
We have emphasized key general points: assay the base-
line state, do not use it with younger people or those with
stable single-system disabilities, use judgement, and be pre-
pared to examine your judgement as experience grows. Sev-
eral specic points relating to each level of the scale are noted.
Finally, we draw to attention that this is an inclusive scale.
There is room on it for everyone—a reminder of the frailty
that we all face, if we are lucky enough to live a long life.
CONFLICT OF INTEREST DISCLOSURES
Kenneth Rockwood has asserted copyright of the Clinical
Frailty Scale through Dalhousie University. Use is free for
research, education, or not-for-prot care. (Users are asked
not to change it or charge for its use.) In addition to academic
and hospital appointments, he is President and Chief Sci-
ence Ofcer of DGI Clinical, which in the last ve years has
contracts with pharma and device manufacturers (Baxter,
Baxalta, Biogen, Shire, Hollister, Nutricia, Roche, Otsuka)
on individualized outcome measurement. In 2017 he attended
an advisory board meeting with Lundbeck. He is Associate
Director of the Canadian Consortium on Neurodegeneration
in Aging, which is funded by the Canadian Institutes of Health
Research (CAN-137794), with additional funding from the
Alzheimer Society of Canada and several other charities. He
receives research support through grants from the Canadian
Institutes of Health Research, the Canadian Frailty Network,
the Nova Scotia Health Research Foundation, the Nova Sco-
tia Health Authority Research Fund, the Dalhousie Medical
Research Fund as the Kathryn Allen Weldon Professor of
Alzheimer Research, and the Fountain Family Innovation
Fund of the QEII Health Science Centre Foundation.
Olga Theou declares that no conicts of interest exist.
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... 15,33 This enables more goal-and personcentred care to be formulated and provided. 14 Profiling older adult may enhance physiotherapy care for frail older adults because it enabled the healthcare provider to determine the patient prognosis, specific care need and where to place them on a continuum of care. 14,15,34 To profile ICU frail patients, clinicians needs frailty scale such as the Clinical Frailty Scale by Rockwood or an ICU specific frailty scale. ...
... 14 Profiling older adult may enhance physiotherapy care for frail older adults because it enabled the healthcare provider to determine the patient prognosis, specific care need and where to place them on a continuum of care. 14,15,34 To profile ICU frail patients, clinicians needs frailty scale such as the Clinical Frailty Scale by Rockwood or an ICU specific frailty scale. Figure It has been argued that the recent pandemic of Coronavirus Disease 2019 (COVID-19), periodic insurgencies of Severe Acute Respiratory Syndrome (SARS) and rise in the burden of chronic conditions mostly affect older adults' well-being and increase their use of critical care settings, more than other sub population. ...
... 13 Therefore, to improve older adults' hospital experience, particularly in the intensive care unit, ICU, and other critical care settings, objective measures of baseline and possible predictors of their health outcomes and other factors are important to shape patients experience in the ICU. Of interest is frailty measure which is a tool that has been used in patient placement on a continuum of care in some context 14 , and this tool maybe explored for improving older adults' hospital experience and to inform critical care practice for decision making and as predictors of health outcomes in critically ill patients. ...
... 6 Although there are numerous scales to evaluate frailty, 7 none is considered as the gold standard. Two commonly used scales, likely due to their simplicity, are the Clinical Frailty Scale (CFS) 8,9 and the FRAIL scale. 10 The Clinical Frailty Scale (CFS), designed by Rockwood et al., 11 is a 9-level tool that assesses physical fitness through exercise and dependency, categorizing patients as non-frail (levels 1---3), vulnerable (level 4), and frail (mild, moderate, severe, or very severe frailty; levels 5---8). ...
... In option C, patients at level 4 were considered frail (frail = CFS-Es 4---9). These stratifications were introduced following a change in nomenclature for level 4 in 2020, 9 when it shifted fromvulnerable(non-frail) toẅith very mild frailty(frail). Assessments using the FRAIL-Es stratified patients into 3 groups (option A): non-frail (FRAIL-Es = 0); pre-frail (FRAIL-Es = 1---2); or frail (FRAIL-Es = 3---5), or 3 Table 1 Stratifications of the Clinical Frailty Scale-Spain (CFS-Es) and the FRAIL-España (FRAIL-Es). ...
... Based on the physician's clinical judgment and a rating that ranges between 1 and 9, CFS describes clinical frailty. Patients were categorized into two groups based on established standards: non-frail/robust (CFS<4) and living with frailty (CFS≥4) [15]. ...
Article
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Objectives Urinary incontinence (UI) is defined as any type of involuntary loss of urine. Pathophysiological changes that occur in the urinary system due to aging, especially ischemia, cause functional and structural changes in the urinary system. Oxidative stress is caused by an imbalance between the body’s oxidative radicals and antioxidant defense systems. In this study, we aimed to investigate the link between UI and oxidative stress indicators in older people. Methods Patients were divided into two groups: the group with incontinence and the group without incontinence. A comprehensive geriatric evaluation was performed on all patients, and they were compared according to serum native thiol, disulfide, and ischemia-modified albumin (IMA) levels. Results A total of 145 patients aged 65 years and older were included in the study (44, incontinence; 101, continence). The median age of individuals with UI was 75 (69–83) years. Receiver Operating Characteristic (ROC) curves were made to determine the cut-off for thiol-disulfide homeostasis and IMA. Disulfide and native thiol divide disulfide values were more significant than other oxidative stress parameters. The Area Under the Curve (AUC) values were 0.65 (95 % CI:0.55–0.74) for disulfide and 0.60 (95 %CI:0.50–0.70) for disulfide divide native thiol (p=0.005, p=0.049, respectively). Conclusions Thiol disulfide homeostasis and IMA molecules, which are indicators of oxidative stress, were found to have significantly higher levels of disulfide and disulfide divide native thiol in patients with incontinence. We think it may be important to look at the possible therapeutic benefits of paying attention to the levels of these molecules in relation to the management of UI in older people.
Preprint
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Background: Shared decision-making (SDM) is a key process in selecting renal replacement therapy (RRT). This study analyzed SDM perceptions, preferences, and patient- and facility-level factors influencing SDM among Japanese patients with chronic kidney disease (CKD) who selected RRT. Methods: We analyzed 475 adult patients with CKD from 49 medical facilities. SDM awareness and recognition, preferences for SDM timing and frequency, discussion content, and desired professional involvement were assessed. Patient- and facility-level factors associated with SDM perceptions were evaluated using Poisson regression with cluster-robust variance estimation. Results: The mean age of participants was 67.4 years. Overall, 71%, 24.4%, and 4.4% chose hemodialysis, peritoneal dialysis, and kidney transplantation, respectively. While 81.2% perceived that SDM was performed during RRT selection, only 4.7% were explicitly aware of the concept. Patients prioritized discussions about effects on daily life, financial burden, and family-related concerns. Most preferred SDM initiation when RRT was imminent, conducted over multiple sessions. Many patients valued the involvement of medical social workers and their usual non-nephrologist physicians in addition to nephrologists. Multiple outpatient visits for RRT selection, involving nurse participation and extended consultation times, were significantly associated with SDM perceptions (prevalence ratio: 1.59, 95% confidence interval: 1.05-2.42). Conclusions: Many Japanese patients with CKD perceived SDM during RRT selection; however, they had limited awareness of the concept. The findings underscore the importance of establishing a system that facilitates repeated SDM discussions at critical moments for patients. These discussions should emphasize the impact of RRT on patients' lives and involve a multidisciplinary team.
Article
Background Healthcare systems need to address the high healthcare use of frail older adults. The Geriatric Services Hub (GSH) is a novel program in Singapore that delivers frailty screening, comprehensive geriatric assessment and coordinated care for community‐dwelling older persons with bio‐psycho‐social needs. We aimed to evaluate the effects of the GSH on healthcare use. Methods We compared healthcare utilization of 634 GSH participants with 634 unique propensity score‐matched non‐GSH community‐dwelling older adults at 12 months before and after GSH enrolment. Baseline matching covariates included demographics, socioeconomic status, disease burden, calendar quarter of enrolment, and past healthcare utilization. We did exact matching on frailty categories (Clinical Frailty Score (CFS) score 4, 5, and 6–7). Difference‐in‐differences technique was used to derive effect estimates. Results After propensity score matching, baseline covariates were adequately balanced. Healthcare utilization declined in both groups after GSH enrolment. Relative to the comparators and after accounting for pre‐enrolment differences, participation in the GSH was associated with greater primary care (mean difference: 0.06, 95% CI−0.64 to 0.77) and specialist outpatient clinic visits (mean difference: 0.42, 95% CI −0.29 to 1.13), and fewer emergency department visits (mean difference: −0.18, 95% CI −0.69 to 0.34). However, these effects did not reach statistical significance. While number of hospitalizations did not differ between the groups, cumulative length of stay differed by 1.15 bed‐days and was not statistically significant. No statistically significant differences were observed within CFS groups. Conclusion GSH was not associated with significant reductions in healthcare use in the first year of enrolment. Higher utilization of primary care and specialist outpatient clinic services could reflect the increased identification of care needs with the potential to reduce unnecessary healthcare use such as emergency department visits. Prospective studies with a longer follow‐up would ascertain if the GSH translates to reduced healthcare utilization as hypothesized.
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As the population ages, the prevalence of age-related frailty increases sharply, which increases the risk of poor health status of older adults, such as disability, falls, hospitalization, and death. Across the globe, frailty is moving toward the forefront of health and medical research. Currently, frailty is believed to be preventable and reversible, so the early identification of frailty is critical. However, there are neither precise biomarkers of frailty nor definitive laboratory tests and corresponding clinical testing techniques and equipment in clinical practice. As a result, the clinical identification of frailty is mainly achieved through the widely used frailty scale, which is an objective, simple, time-saving, effective, economical, and feasible measurement tool. In this narrative review, we summarized and analyzed the various existing frailty scales from different perspectives of screening and evaluation, aiming to provide a reference for clinical researchers and practitioners to judge and manage frail older people accurately.
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Objective Sleep quality of patients has a complex association with postoperative total hip arthroplasty (THA), yet its impact on recovery of hip function and frailty occurrence is still not uniformly recognized. The purpose of this study is to assess the impact of preoperative sleep quality on the prognosis of patients undergoing a first-time THA and its relationship to chronic pain, anxiety, depression, and frailty. Methods In this project, 45 patients each with good and poor sleep quality who underwent THA for the first time were included according to the PSQI index, with PSQI index surpassing 5 considered as poor sleep quality. Patients in the study group and the control group were matched according to their age, gender and American Society of Anesthesiologists (ASA) scores, and intra-operative complications, blood loss, surgery duration, postoperative analgesic use, and length of hospital stay were analyzed. Also, changes of sleep quality, HHS index, pain value, anxiety, depression and frailty occurrence were compared before and 6 months after surgery. The demographics of the comparison cohorts were analyzed by paired t-tests or paired Wilcoxon signed-rank tests, and independent t-tests and nonparametric tests were adopted to screen risk factors of postoperative frailty. Multivariate logistic regression analysis was introduced for independent risk factors calculation. A p-value less than 0.05 was considered as statistically significance. Results Poor sleep quality was associated with poorer recovery, including longer postoperative hospitalization after THA, more pronounced chronic pain 3 months after surgery, higher anxiety, depression index and frailty index 6 months after surgery. Older age, diabetes, osteoporosis, BMI lower than the normal and poor sleep quality were potential factors of postoperative frailty, among which poor sleep quality represented an independent risk factor related to postoperative frailty. Conclusions Poor sleep quality registers association with postoperative frailty after THA, emphasizing the importance of preoperative identification for patients, which may guide clinicians in developing perioperative strategies and provide patients with potential risks.
Article
To assess and compare, through a retrospective cohort study, the relationships between frailty, comorbidity, multimorbidity, and levels of adherence to lipid-lowering drugs (LLDs), antihypertensives and antidepressants. In a primary care database, we selected a cohort of patients aged 60 or older on December 31, 2022. The date of the first prescription of the aforementioned medications was the study index date. Patients with Variable Medication Possession Ratio (VMPR) > = 80% were classified as properly adherent. Frailty (i.e. Primary Care-Frailty Index), comorbidity (i.e. Charlson Index) and multimorbidity (i.e. disease counts) alternatively entered multivariate logistic regressions along with age and sex. Models’ performances in prediction of medications adherence were compared in terms of information (AIC; BIC) and discrimination values (AUC). Incident users of LLDs, antihypertensives or antidepressants were 4310 (mean age: 67.9 (SD: 6.9); 56.0% females), 5969 (mean age: 69.1 (SD: 7.6); 58.0% females), and 3834 (mean age: 68.7 (SD: 6.9); 66.5% females), respectively. Among users of LLDs (46% adherent) and antidepressants (22% adherent), those who were moderately or severely frail showed a significant 30–32% decrease in adherence. In contrast, users of antihypertensives (46% adherent) showed a 41% increase in adherence when multimorbid. As a whole, the three multivariate models were equally effective in informing on medication adherence, as per AIC and BIC. They also displayed similar discriminatory ability, with AUC scores ranging from 53 to 58%. Regarding the workload of GPs, the number of elderly patients classified as moderately/high frail was less than those with co-morbidities or multimorbidities. For instance, there were approximately 35 users of antihypertensive medications per GP for the moderately frail group, compared to 46 and 66 for the co-morbid and multi-morbid groups, respectively. These findings showed similar capacity for frailty, comorbidity, and multimorbidity in capturing medications adherence. Given the existence of a validated tool in primary care that aligns well with GPs’ workload, frailty seems the most suitable measure for assessing the complexity of older adults in relation to their adherence to long-term medications.
Article
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Background: The Canadian Geriatrics Society (CGS) fosters the health and well-being of older Canadians and older adults worldwide. Although severe COVID-19 illness and significant mortality occur across the lifespan, the fatality rate increases with age, especially for people over 65 years of age. The dichotomization of COVID-19 patients by age has been proposed as a way to decide who will receive intensive care admission when critical care unit beds or ventilators are limited. We provide perspectives and evidence why alternative approaches should be used. Methods: Practitioners and researchers in geriatric medicine and gerontology have led in the development of alternative approaches to using chronological age as the sole criterion for allocating medical resources. Evidence and ethical based recommendations are provided. Results: Age alone should not drive decisions for health-care resource allocation during the COVID-19 pandemic. Decisions on health-care resource allocation should take into consideration the preferences of the patient and their goals of care, as well as patient factors like the Clinical Frailty Scale score based on their status two weeks before the onset of symptoms. Conclusions: Age alone does not accurately capture the variability of functional capacities and physiological reserve seen in older adults. A threshold of 5 or greater on the Clinical Frailty Scale is recommended if this scale is utilized in helping to decide on access to limited health-care resources such as admission to a critical care unit and/or intubation during the COVID-19 pandemic.
Article
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Background: we investigated whether two frailty tools predicted mortality among emergency department (ED) patients referred to internal medicine and how the level of illness acuity influenced any association between frailty and mortality. Methods: two tools, embedded in a Comprehensive Geriatric Assessment (CGA), were the clinical frailty scale (CFS) and a 57-item deficit accumulation frailty index (FI-CGA). Illness acuity was assessed using the Canadian Triage and Acuity Scale (CTAS). We examined all-cause 30-day and 6-month mortality and time to death. Results: in 808 ED patients (mean age ± SD 80.8 ± 8.8, 54.4% female), the mean FI-CGA score was 0.44 ± 0.14, and the CFS was 5.6 ± 1.6. A minority (307; 38%) were classified as having low acuity (CTAS: 1-2). The 30-day mortality rate was 17%; this increased to 34% at 6 months. Compared to well patients with low acuity, the risk of 30-day mortality was 22.5 times (95% CI: 9.35-62.12) higher for severely frail patients with high acuity; 53% of people with very severe frailty (CFS = 8) and high acuity died within 30 days. When acuity was low, the risk for 30-day mortality was significantly higher only among those with very high levels of frailty (CFS 7-9, FI-CGA > 0.5). When acuity was high, even lower levels of frailty (CFS 5-6, FI-CGA 0.4-0.5) were associated with higher 30-day mortality. Conclusions: across levels of frailty, higher acuity increased mortality risk. When acuity was low, the risk was significant only when the degree of frailty was high, whereas when acuity was high, even lower levels of frailty were associated with greater mortality risk.
Article
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The older Italian population is posing a challenge in the number of deaths for coronavirus disease 2019 (COVID-19). According to previous data from China, pre-existing health conditions dramatically increase the risk of dying from COVID-19. The presence of multiple diseases in older patients may be considered as a mark of frailty, which increases the person's vulnerability to stress and impairs the multisystemic compensatory effort to restore homeostasis. The clinical complexity associated with the management of frailty may increase the risk of complications during infection as well as the lack of the early recognition of atypical symptoms. There is an urgent need to share expertise and clinical management skills with geriatricians as well as the need for early diagnosis to start treatment at the earliest convenience in the community, with the aim to avoid the collapse of intensive care units.
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Background: Standardized frailty assessments are needed for early identification and treatment. We aimed to develop a frailty scale using visual images, the Pictorial Fit-Frail Scale (PFFS), and to examine its feasibility and content validity. Methods: In Phase 1, a multidisciplinary team identified domains for measurement, operationalized impairment levels, and reviewed visual languages for the scale. In Phase 2, feedback was sought from health professionals and the general public. In Phase 3, 366 participants completed preliminary testing on the revised draft, including 162 UK paramedics, and rated the scale on feasibility and usability. In Phase 4, following translation into Malay, the final prototype was tested in 95 participants in Peninsular Malaysia and Borneo. Results: The final scale incorporated 14 domains, each conceptualized with 3-6 response levels. All domains were rated as "understood well" by most participants (range 64-94%). Percentage agreement with positive statements regarding appearance, feasibility, and usefulness ranged from 66% to 95%. Overall feedback from health-care professionals supported its content validity. Conclusions: The PFFS is comprehensive, feasible, and appears generalizable across countries, and has face and content validity. Investigation into the reliability and predictive validity of the scale is currently underway.
Article
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With ageing, the potency of individual risk factors traditionally associated with common illnesses declines. Instead, it is becoming clear that the impact of a wide range of age-related deficits not traditionally considered as risk factors for these illnesses increases. These age-related deficits chiefly confer risk as a group, not individually. The many effects of age-related changes can be demonstrated epidemiologically, and in preclinical models, using a frailty index to distinguish between the contributions of traditional and non-traditional risk factors. Quantifying the contribution of age-related deficit accumulation in clinical and preclinical samples offers a powerful new tool for understanding mechanisms of age-related disease. It appears that a range of common late-life illnesses might be targeted by drugs aimed at ageing processes.
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Background: The ability of acute care providers to cope with the influx of frail older patients is increasingly stressed, and changes need to be made to improve care provided to older adults. Our purpose was to conduct a scoping review to map and synthesize the literature addressing frailty in the acute care setting in order to understand how to tackle this challenge. We also aimed to highlight the current gaps in frailty research. Methods: This scoping review included original research articles with acutely-ill Emergency Medical Services (EMS) or hospitalized older patients who were identified as frail by the authors. We searched Medline, CINAHL, Embase, PsycINFO, Eric, and Cochrane from January 2000 to September 2015. Results: Our database search initially resulted in 8658 articles and 617 were eligible. In 67% of the articles the authors identified their participants as frail but did not report on how they measured frailty. Among the 204 articles that did measure frailty, the most common disciplines were geriatrics (14%), emergency department (14%), and general medicine (11%). In total, 89 measures were used. This included 13 established tools, used in 51% of the articles, and 35 non-frailty tools, used in 24% of the articles. The most commonly used tools were the Clinical Frailty Scale, the Frailty Index, and the Frailty Phenotype (12% each). Most often (44%) researchers used frailty tools to predict adverse health outcomes. In 74% of the cases frailty predicted the outcome examined, typically mortality and length of stay. Conclusions: Most studies (83%) were conducted in non-geriatric disciplines and two thirds of the articles identified participants as frail without measuring frailty. There was great variability in tools used and more recently published studies were more likely to use established frailty tools. Overall, frailty appears to be a good predictor of adverse health outcomes. For frailty to be implemented in clinical practice frailty tools should help formulate the care plan and improve shared decision making. How this will happen has yet to be determined.
Article
Background: frailty is a public health priority now that the global population is ageing at a rapid rate. A scientifically sound tool to measure frailty and generate population-based reference values is a starting point. Objective: in this report, our objectives were to operationalize frailty as deficit accumulation using a standard frailty index (FI), describe levels of frailty in Canadians ≥45 years old and provide national normative data. Design: this is a secondary analysis of the Canadian Longitudinal Study on Aging (CLSA) baseline data. Setting/participants: about 51,338 individuals (weighted to represent 13,232,651 Canadians), aged 45-85 years, from the tracking and comprehensive cohorts of CLSA. Methods: after screening all available variables in the pooled dataset, 52 items were selected to construct an FI. Descriptive statistics for the FI and normative data derived from quantile regressions were developed. Results: the average age of the participants was 60.3 years (95% confidence interval [CI]: 60.2-60.5), and 51.5% were female (95% CI: 50.8-52.2). The mean FI score was 0.07 (95% CI: 0.07-0.08) with a standard deviation of 0.06. Frailty was higher among females and with increasing age, and scores >0.2 were present in 4.2% of the sample. National normative data were identified for each year of age for males and females. Conclusions: the standardized frailty tool and the population-based normative frailty values can help inform discussions about frailty, setting a new bar in the field. Such information can be used by clinicians, researchers, stakeholders and the general public to understand frailty, especially its relationship with age and sex.
Article
Background Community transmission of coronavirus 2019 (Covid-19) was detected in the state of Washington in February 2020. Methods We identified patients from nine Seattle-area hospitals who were admitted to the intensive care unit (ICU) with confirmed infection with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Clinical data were obtained through review of medical records. The data reported here are those available through March 23, 2020. Each patient had at least 14 days of follow-up. Results We identified 24 patients with confirmed Covid-19. The mean (±SD) age of the patients was 64±18 years, 63% were men, and symptoms began 7±4 days before admission. The most common symptoms were cough and shortness of breath; 50% of patients had fever on admission, and 58% had diabetes mellitus. All the patients were admitted for hypoxemic respiratory failure; 75% (18 patients) needed mechanical ventilation. Most of the patients (17) also had hypotension and needed vasopressors. No patient tested positive for influenza A, influenza B, or other respiratory viruses. Half the patients (12) died between ICU day 1 and day 18, including 4 patients who had a do-not-resuscitate order on admission. Of the 12 surviving patients, 5 were discharged home, 4 were discharged from the ICU but remained in the hospital, and 3 continued to receive mechanical ventilation in the ICU. Conclusions During the first 3 weeks of the Covid-19 outbreak in the Seattle area, the most common reasons for admission to the ICU were hypoxemic respiratory failure leading to mechanical ventilation, hypotension requiring vasopressor treatment, or both. Mortality among these critically ill patients was high. (Funded by the National Institutes of Health.)
Article
Background: High rates of health care utilization at the end of life may be a marker of care that does not align with patient-stated preferences. We sought to describe trends in end-of-life care and factors associated with dying in hospital. Methods: We conducted a population-level retrospective cohort study of adult decedents in Ontario between Apr. 1, 2004, and Mar. 31, 2015, using linked administrative data sets, including the Office of the Registrar General for Deaths database, the hospital Discharge Abstract Database, the National Ambulatory Care Reporting System and physicians' billing claims (Ontario Health Insurance Plan). The primary outcome was place of death. To determine health care utilization and health care costs during the 6 months before death, we also identified admissions to hospital and to the intensive care unit, emergency department visits, and receipt of mechanical ventilation and palliative care. Results: In the last 6 months of life, 77.3% of 962 462 decedents presented to an emergency department, 68.4% were admitted to hospital, 19.4% were admitted to an intensive care unit, and 13.9% received mechanical ventilation. Forty-five percent of all deaths occurred in hospital, a proportion that declined marginally over time, whereas receipt of palliative care increased during terminal hospital admissions (from 14.0% in fiscal year 2004/05 to 29.3% in 2014/15, p < 0.001) and in the last 6 months of life (from 28.1% in 2004/05 to 57.7% in 2014/15, p < 0.001). The proportion of decedents who presented to the emergency department, were admitted to hospital or were admitted to the intensive care unit in the last 6 months of life did not change over 11 years. The mean total health care costs in the last 6 months of life were highest among those dying in hospital, with most costs attributable to inpatient medical care. Interpretation: Health care utilization in the last 6 months of life was substantial and did not decrease over time. It is possible that increased capacity for palliative, hospice and home care at the end of life may help to better align health system resources with the preferences of most patients, a topic that should be explored in future studies.