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Different aspects of frailty and COVID-19: points to consider in the current pandemic and future ones

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Background Older adults at a higher risk of adverse outcomes and mortality if they get infected with Severe acute respiratory syndrome coronavirus 2 (SARS- CoV-2). These undesired outcomes are because ageing is associated with other conditions like multimorbidity, frailty and disability. This paper describes the impact of frailty on coronavirus disease 2019 (COVID-19) management and outcomes. We also try to point out the role of inflamm-ageing, immunosenescence and reduced microbiota diversity in developing a severe form of COVID-19 and a different response to COVID-19 vaccination among older frail adults. Additionally, we attempt to highlight the impact of frailty on intensive care unit (ICU) outcomes, and hence, the rationale behind using frailty as an exclusion criterion for critical care admission. Similarly, the importance of using a time-saving, validated, sensitive, and user-friendly tool for frailty screening in an acute setting as COVID-19 triage. We performed a narrative review. Publications from 1990 to March 2021 were identified by searching the electronic databases MEDLINE, CINAHL and SCOPUS. Based on this search, we have found that in older frail adults, many mechanisms contribute to the severity of COVID-19, particularly cytokine storm; those mechanisms include lower immunological capacity and status of ongoing chronic inflammation and reduced gut microbiota diversity. Higher degrees of frailty were associated with poor outcomes and higher mortality rates during and after ICU admission. Also, the response to COVID-19 vaccination among frail older adults might differ from the general population regarding effectiveness and side effects. Researches also had shown that there are many tools for identifying frailty in an acute setting that could be used in COVID-19 triage, and before ICU admission, the clinical frailty scale (CFS) was the most recommended tool. Conclusion Older frail adults have a pre-existing immunopathological base that puts them at a higher risk of undesired outcomes and mortality due to COVID-19 and poor response to COVID-19 vaccination. Also, their admission in ICU should depend on their degree of frailty rather than their chronological age, which is better to be screened using the CFS.
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R E V I E W Open Access
Different aspects of frailty and COVID-19:
points to consider in the current pandemic
and future ones
Hani Hussien
1,2
, Andra Nastasa
2*
, Mugurel Apetrii
1,2
, Ionut Nistor
1,2
, Mirko Petrovic
3
and Adrian Covic
1,2
Abstract
Background: Older adults at a higher risk of adverse outcomes and mortality if they get infected with Severe acute
respiratory syndrome coronavirus 2 (SARS- CoV-2). These undesired outcomes are because ageing is associated with
other conditions like multimorbidity, frailty and disability. This paper describes the impact of frailty on coronavirus
disease 2019 (COVID-19) management and outcomes. We also try to point out the role of inflamm-ageing,
immunosenescence and reduced microbiota diversity in developing a severe form of COVID-19 and a different
response to COVID-19 vaccination among older frail adults. Additionally, we attempt to highlight the impact of
frailty on intensive care unit (ICU) outcomes, and hence, the rationale behind using frailty as an exclusion criterion
for critical care admission. Similarly, the importance of using a time-saving, validated, sensitive, and user-friendly
tool for frailty screening in an acute setting as COVID-19 triage.
We performed a narrative review. Publications from 1990 to March 2021 were identified by searching the electronic
databases MEDLINE, CINAHL and SCOPUS.
Based on this search, we have found that in older frail adults, many mechanisms contribute to the severity of
COVID-19, particularly cytokine storm; those mechanisms include lower immunological capacity and status of
ongoing chronic inflammation and reduced gut microbiota diversity.
Higher degrees of frailty were associated with poor outcomes and higher mortality rates during and after ICU
admission. Also, the response to COVID-19 vaccination among frail older adults might differ from the general
population regarding effectiveness and side effects.
Researches also had shown that there are many tools for identifying frailty in an acute setting that could be used in
COVID-19 triage, and before ICU admission, the clinical frailty scale (CFS) was the most recommended tool.
Conclusion: Older frail adults have a pre-existing immunopathological base that puts them at a higher risk of
undesired outcomes and mortality due to COVID-19 and poor response to COVID-19 vaccination. Also, their
admission in ICU should depend on their degree of frailty rather than their chronological age, which is better to be
screened using the CFS.
Keywords: COVID-19, Microbiota, Inflamm-ageing, Immunosenescence, Frailty, Vaccination, SARS co-V2, CFS
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data made available in this article, unless otherwise stated in a credit line to the data.
* Correspondence: md.hany@yahoo.com
2
Department of Internal Medicine, Nephrology and Geriatrics, Grigore T Popa
University of Medicine and Pharmacy, Faculty of Medicine, Bd Carol nr 50,
Iasi, Romania
Full list of author information is available at the end of the article
Hussien et al. BMC Geriatrics (2021) 21:389
https://doi.org/10.1186/s12877-021-02316-5
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
Background
By the end of February 2021, the number of COVID-19
cases has exceeded one hundred million globally [1].
The older adults were the most affected population seg-
ment in terms of hospitalisation, poor outcomes and
mortality due to COVID-19 in Europe [2,3], the United
Kingdom (UK) [4], United States (US) [5] and Canada
[6]. The high risk of mortality and poor outcomes
among older adults diagnosed with COVID-19 is a nat-
ural output of the high prevalence of comorbidities,
weak immune system, and, most importantly, frailty in
this unique population.
Frailty is defined as an age-related clinical disorder,
usually with a decline in multiple organ systemsphysio-
logical ability, characterised by a higher degree of vulner-
ability to what appears to be a minor stressor which
exposes frail older adults at a higher risk of poor health
outcomes, including dependence and disability [7].
Frailty is induced by an underlying mechanism inde-
pendent of ageing but most likely to evolve and proceed
with the ageing process; however, frailty is not a neces-
sary element of ageing, and many adults reach advanced
age without becoming frail [8].
During the current COVID-19 pandemic, frailty is im-
portant since it is a common clinical syndrome in older
adults. In a recent meta-analysis, including 1,750,000
adults aged 50 years from 62 countries, the overall
prevalence of frailty was 12% [9]. These figures are con-
sistent with 15% as an estimated prevalence of frailty
among Europeans aged 65 years [10]. Moreover, almost
¾ of frail persons has multimorbidity [11].
Although the existence of frailty or multimorbidity was
not associated with increased risk of SARS- CoV-2 infec-
tion [12] yet, frail older adults are at higher of developing
severe COVID-19 than pre-frail or non-frail older adults
[13]. Indeed, the presence of frailty necessitates complex
medical care demands, including ICU admission, notwith-
standing the scarce resources of healthcare systems in the
current setting of the SARS-CoV-2 pandemic.
This article reviews the current literature to determine
the impact of frailty on older adults diagnosed with
COVID-19. Also, we explain the causes and mutual
mechanisms (inflamm-ageing, immunosenescence and
reduced microbiota diversity) by which frail adults are
more susceptible to a higher risk of developing a severe
form of COVID-19, adverse outcomes, mortality and a
different response to vaccination. Similarly, we attempt
to highlight the importance of identifying frail older
people using an efficient screening tool before their hos-
pitalisation or ICU admission.
Main text
We performed this narrative review to discuss the im-
pact of frailty on older adults diagnosed with COVID-
19. Also, to underline mutual mechanisms (inflamm-
ageing, immunosenescence and reduced microbiota di-
versity), frail older adults are more susceptible to a
higher risk of developing a severe form of COVID-19,
adverse outcomes, mortality and a different response to
vaccination. Similarly, we attempt to highlight the im-
portance of identifying frail older people using an effi-
cient screening tool before their hospitalisation or ICU
admission.
A literature search was conducted up to March 2021,
using the electronic databases MEDLINE, CINAHL, and
SCOPUS to identify the original articles, review articles,
and editorials that focused on the conceptual or theoret-
ical aspects of frailty in older adults and frail adults diag-
nosed with COVID-19.
We have used the following terms: frailty in older
adults, frailty in elderly, frailty in geriatrics, frailty and
ageing, frailty mechanisms, inflamm-ageing, immunose-
nescence, frailty and SARS-CoV2, frailty screening,
frailty assessment, frailty tools, frailty instruments, frailty
and COVID-19, ICU in frail adults, vaccination in frailty,
reduced microbiota diversity in frailty.
We also included studies of any design, quantitative or
qualitative, and available data from official websites. We
limited the search to articles published in the English
language only between 1990 and 2021.
We have found 2543 papers after removing duplicates
and did not match our search eligibility criteria. Out of
these, 467 papers were considered after the title and ab-
stract assessment. After a full-text review, the final rele-
vant papers were 100 papers.
Inflamm-ageing, immunosenescence and reduced
microbiota diversity: an ominous trinity in frail older
adults diagnosed with COVID-19.
Inflamm-ageing and immunosenescence
As previously explained, older adults are at higher risk
of poor outcomes because of ageing-associated condi-
tions as frailty, multi-comorbidities, and weak immunity.
In general, compared with the young, older adults have a
decrease in their immune systemscapacity to cope with
infection, which is mostly the result of the altered im-
mune response to pathogens [14].. This impairment in
the immune system, which is associated with ageing, is
called immunosenescence.
Notably, and in a close link with COVID-19, it is well
documented that the risk of complications and death
from respiratory infections among seniors rises with
immunosenescence and concomitant lung and heart
health issues [15] and that frailty is associated with lower
recovery rates and significant adverse outcomes in older
adults with acute respiratory infections [16].
In old age, there is impaired crosstalk between the im-
mune systems innate and adaptive arms and an ongoing
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Content courtesy of Springer Nature, terms of use apply. Rights reserved.
chronic inflammation known as inflamm-ageing, a
common biological factor responsible for frailty and
the onset of some diseases in older persons [17,18].
Inflamm-ageing is characterised by Chronic Low-
grade Inflammatory Phenotype (CLIP), which is
associated with a concomitant progressive increase in
pro-inflammatory markers, cytokines including inter-
leukin (IL)-6, IL-1b, and tumor necrosis factor (TNF)-
α[19,20]. Moreover, these ongoing inflammatory
processes may impair the hosts ability to identify
pathogensasaharmfulsignal[17,21]. By association,
immunosenescence and inflamm-ageing would signifi-
cantly impact outcome and survival among frail adults
during pandemics.
In addition to CLIP, it is well established that there is
an impairment of naive T cells in terms of numbers and
function in older persons, which results in adaptive im-
munity dysfunction [17,22]. Similar patterns of inflam-
mation were detected in patients with severe COVID-19,
where there is a state of hyper-inflammation [23], with
an increase in the levels of interferon-γ, TNF-α,C-
Reactive Protein (CRP) and cytokines, in particular, IL-
10, IL-6, and IL-17, which correlates with a significant
reduction in T cells population, and even the surviving
T cells are functionally exhausted with impaired prolifer-
ation [2426].
Previous studies on older adults have shown that
elevated serum IL-6 and CRP levels are associated
with a significant risk of developing frailty and mor-
tality [27,28]. Another aspect of high relevance is
the immunological similarity between COVID-19 and
frailty regarding Cluster of Differentiation (CD)
levels. Studies on autopsies from persons who died
from COVID-19 were positive for immunity cells, in-
cluding CD4, CD8, CD20, and CD38 [29]. Interest-
ingly, immunogerontological studies among frail
patients have shown a chronic increase in the same
CD types [3034].
Moreover, it is well documented that a higher
serum level of pro-inflammatory cytokines in COVID-
19 patients is associated with poor outcomes. A
plethora of studies has shown that the elevation of
IL-2 and IL-6 is correlated with COVID-19 replica-
tion and disease severity and that patients requiring
ICU admission had higher concentrations of cytokines
than those who were not requiring ICU admission
[3539]. Also, a higher level of interleukins is an indi-
cator of poor prognosis and high mortality rates in
patients with severe COVID-19 [25,40].
Presumably, in addition to weak immunity in frail
older persons, they have a pre-existing chronic inflam-
matory status with higher pro-inflammatory markers,
which put them at a higher risk of developing a severe
form of COVID-19 and higher mortality rates.
Microbiota: a playmaker in frailty and COVID-19
In addition to inflamm-ageing and immunosenescence,
microbiota diversity reduction contributes to the weak
immune system among frail older adults. The pathogens
interactions with the immune system happen in an en-
vironment that is influenced by its endogenous micro-
biota, owing to their high capacity to regulate many
immunity aspects, including innate and adaptive immun-
ity, locally and at distant sites, in particular in the intes-
tine and lungs [4143].
Previous research has shown that because of the in-
creased plasma levels of the major pro-inflammatory cy-
tokines, older peoples microbiota reveals a more
substantial interindividual variability than that of youn-
ger adults; also, the reduced gut microbiota diversity is
associated with increased frailty [4446]. Unsurprisingly,
the grade of frailty is a better indicator of changes in gut
microbiota than chronological age [47].
Studies have recently shown an alteration in gut
microbiota among COVID-19 patients [48] and that the
faecal microbiota alteration is associated with the higher
fecal level of SARS-CoV-2 and a severe form of COVID-
19 [49]. Consistently, biopsies from deceased persons in-
fected with COVID-19 have shown a change in lung
microbiota diversity, especially in those aged 65 or with
comorbidities [50].
Thus, among frail older adults, the susceptibility to in-
fections, including SARS-CoV-2, depends on the inter-
play between immune capacity and body microbiota.
Hence, the reduced microbiota diversity accompanied by
immunosenescence and inflamm-ageing would predis-
pose frail adults to develop a severe form of COVID-19.
Therefore, understanding the role of microbiota in the
pathogenesis of frailty and respiratory viral infections
would allow for more targeted therapy for the frail
population during the current pandemic and future
ones. (See Fig. 1, Immunological factors contributing to
developing a severe form of COVID-19 among frail
older adults)
Frailty and COVID-19 vaccination
Another important aspect to consider in frail older
adults is their potential response to the current COVID-
19 vaccines. Although older adults are on the top of the
COVID-19 vaccination list, frail ones were excluded
from COVID-19 vaccines trials [51]. The inflamm-
ageing and immunosenescence, which represent a car-
dinal element in the ageing process, are also associated
with a poor immunological response to vaccination or
previous infections [52], and this poor response would
be worse among frail older adults [53,54]. This known
poor response to vaccination among frail older adults
has triggered doctors, for example, in Norway, to assess
for frailty before deciding whether to proceed with
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COVID-19 vaccination or not [55], particularly after re-
cently 23 frail older adults have died shortly after receiv-
ing a COVID-19 vaccine [56].
Therefore, even after vaccination and because of their
potential poor response to vaccines, it is predicted that
older frail adults will be exposed to the same risk of in-
fection or even, in the best case, a slightly lower risk
than pre-vaccination. Hence, it is recommended to defer
any early relaxation of the current community COVID-
19 policies when dealing with this special population to
maintain their protection.
Critical care for frail older adults in COVID-19 pandemic:
the battle of ventilators
As illustrated before, there is a refined relationship of
frailty with poor outcomes in older adults infected with
SARS-CoV-2, who also are burdened with other ageing-
associated conditions, including the weak immune sys-
tem, reduced gut microbiota, and comorbidities. This
constellation of the ageing-associated conditions and
frailty would attribute to COVID-19 severity, which will
signal the need for ICU admission.
In one recent study from 12 countries, which included
five thousand hospitalised patients diagnosed with
COVID 19 with a median age of 74, the degree of frailty
was associated with high mortality rates and the neces-
sity for a higher level of post-discharge care among sur-
vivors [57]. Consistently, the severe degree of frailty
among COVID-19 patients was associated with pro-
longed hospitalisation, all-cause mortality, and higher
mortality risk in the next 2 weeks following discharge
[5864]. (See Fig. 2, Frailty is associated with functional
dependence, longer hospitalisation and higher mortality).
During the current pandemic, critical care services are
overwhelmed, and there is a considerable shortage of
ventilators worldwide. Thus, special arrangements
should be taken to avoid disproportionate care, which is
common in ICUs in Europe and North America [65].
Disproportionate care uses advanced life-sustaining mea-
sures in patients with poor long-term outcomes second-
ary to multiple chronic organ dysfunctions,
comorbidities, and/or poor life quality [65]. Hence, the
first goal is to take appropriate steps to optimise ICUs
capacity by postponing non-emergency patient services
and converting non-critical care units to critical care
ones [66].
In the UK, the Intensive Care National Audit & Re-
search Centre (ICNARC) has published a report on ICU
admission data from England, Wales, and Northern
Ireland, which shows that up to 31 August 2020, about
Fig. 1 This figure shows the pathological mechanisms in older adults which expose frail patients with COVID-19 to undesired outcomes
Fig. 2 This figure shows that frailty in older adults is associated with prolonged hospitalisation, more significant decline in functional
independence and higher mortality after exposure to minor stressors
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34% of patients admitted in ICU due to COVID-19 have
died and that 66% death cases were in those who were
60 years [67]. Also, ICNARC has reported that from Sep-
tember 2020, 35.6% of patients admitted in ICU due to
COVID-19 were aged 60 years and that 70% of invasively
ventilated patients aged 70 have died in ICU. These fig-
ures confirm that older adults are at higher risk of being
admitted to ICU due to COVID-19 and that they are more
likely to die if they were invasively ventilated.
More than 50% of ICU admissions in the USA because
of COVID-19, and over 80% of deaths were among
adults aged 65 years [68]. Similar data were reported
from Mainland China, with 80% of deaths among adults
aged 60 years [68]. In a study that included 5700 pa-
tients hospitalised with COVID-19 in the New York City
area, the mortality rate among patients aged 65 years
who received mechanical ventilation was 97% compared
to 76.4% aged 1865 years [69].
Thus, a controversy had arisen over whether the old
patients with COVID-19 should be admitted to ICU or
whether they should be directed to palliative care man-
agement. Currently, there are two opposite strategies for
approaching older adults, aiming to allocate mechanical
ventilators. On the one hand, chronological age alone
was used as exclusion criteria; for instance, doctors in
Italy have opted for a cut-off of 65 years old in the case
of pre-existing comorbidities [70]. Similarly, in
Switzerland, the Swiss Academy of Medical Sciences
(SAMS) [71] has published new guidelines for admission
in ICU, stating that in the context of COVID-19, age is a
risk factor for mortality and should be taken into consid-
eration, yet without specifying a cut-off. SAMS recom-
mends, For ICU admission, the highest priority is to be
accorded to those patients whose prognosis with regard
to hospital discharge is good with intensive care, but
poor without it[71].
While, in the USA, the New York state department of
health has chosen saving the most livesguidance,
which allocates ventilators according to the presence of
specific exclusion criteria and a cut-off of Sequential
Organ Failure Assessment (SOFA) score [72]. In Spain,
the ministry of health has announced on 03 April 2020,
general criteria for ICU admission; the first criterion was
Non-discrimination for any reason beyond the patients
clinical situation and their objective, evidence-based ex-
pectations of survival , which makes the patients age
out of the picture [73].
However, other stratifying ways have been used; for
instance, in Pennsylvania, USA, allocating ventilators
depends on calculating a specific score, including age
and multi-comorbidities [74]. In the UK, the National
Institute for Health and Care Excellence (NICE) has
updated its guideline on critical care on 25 March
2020 to involve frailty screening for all older adults
who present in COVID-19 triage irrespective of their
COVID-19 status [75].
Meanwhile, in Switzerland, the Board of the Associ-
ation for Geriatric Palliative Medicine (FGPG) has rec-
ommended Advance Care Planning (ACP) when
managing older frail adults diagnosed with COVID-19
[76]. ACP allows frail older adults to opt for either hos-
pitalisation or palliative care before infection or at least
at the time of diagnosis, which respects the patients
wishes, and hence, is ethically accepted.
Previous researches have shown that persons dying at an
older age generally have more disability, but not a disease,
than those dying at a younger age, and that a large propor-
tion of their total years spent in the disabled state will con-
tribute to the years just before their end-of-life [77].
Nevertheless, once frailty overlaps with comorbidities
or disability, this is the moment of no return, and frailty
will be a pre-death phase. Consistently, the short-term
survival after admission in ICU of older adults has in-
versely associated with the degree of frailty in advanced
age [78]; also, pre-ICU frailty correlates with a higher
post-ICU disability and new admission in nursing homes
among ICU survivors [79]. Accordingly, and due to es-
calating needs to allocate ventilators to those more likely
to benefit and avoid mechanical ventilation withdrawal,
physicians should proactively participate in conversa-
tions with patients and caregivers concerning do-not-
intubate orders for high-risk subgroups of patients
before their health deteriorates [80].
The COVID-19 in Older PEople (COPE) study, which
included 1564 non-ICU patients diagnosed with
COVID-19 (median age of 74 years), has shown that
COVID-19 outcomes were better predicted by the de-
gree of frailty than either chronological age or comor-
bidity [59]. Similarly, severe frailty is an independent
predictor for mechanical ventilation among older adults
diagnosed with COVID-19 [61]. Therefore, frailty
screening among older adults before ICU admission is of
central importance since it can guide clinicians to the
ICU outcome (See Fig. 2).
Given the connection between frailty and fewer
chances to be home discharged, and the development of
adverse outcomes in the acute care setting, it seems fair
to assume that a COVID-19 older adult with a high de-
gree of frailty or disability is relatively closer to death
than non-frail patients of the same age and are less likely
to benefit from the critical care service.
Hence, it is clear that the potential profit of the admis-
sion of an old patient positive with COVID 19 in crit-
ical care service cannot be rationally taken without
assessing their frailty state before ICU admission. Frailty
as a selection criterion for ICU admission is expected to
deliver a more accurate, rational, yet ethically accepted
choice during the time of pandemics. Ultimately, despite
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the debate on old patients with COVID-19, if they
should receive treatment in ICU or not, there is no dis-
agreement on the catastrophic impact of COVID-19 on
old individuals admitted in the ICU, their families, and
society as a whole.
Frailty screening in COVID-19 triage
In general, all older adults should be assessed for frailty
when encountered with healthcare staff because frailty is
a complex condition that necessitates a particular inter-
vention, yet an individualised one. Ideally, in case of
emergencies, ambulance staff should recognise frail pa-
tients in the community because it would decrease the
number of older adults attending the busy emergency
department (ED). Nevertheless, it is not always applic-
able, in particular during times of pandemics.
The aim of screening for frailty in ED is to understand
the acute manifestations of the present illness regarding
the pre-existing health condition to predict adverse out-
comes during hospitalisation or after discharge and pre-
vent potential adverse outcomes [81]. Also, frailty
screening guarantees more informed medical decision-
making for both patients regarding treatment prefer-
ences and physicians in terms of triaging and therapy
suitability [82]. Moreover, the outcome of frailty assess-
ment in ED will further trigger the clinicians decision
and the patient and his family, and some patients might
be admitted to the hospital, while others might opt for
palliative care in the home. Even in the case of hospital
admission, the management will be different at a de-
tailed level. For example, deprescribing some of the
current medications, avoiding some new drugs or ma-
noeuvres and subsequently a different individualised ap-
proach in managing the current illness, because some
interventions might be clinically less efficient, not only
that but maybe more harmful.
There is a wide variety of frailty screening instruments,
each with a range of included components. In a system-
atic review that includes 96 studies, 51 frailty tools were
identified for screening and diagnosis of frailty in out-
patient (OPD) and inpatient (IPD) departments [83].
(see supplementary Table 1).
However, besides simplicity and sensitivity, an optimal
screening tool must be efficient in countries with scarce
resources. Indeed, most of the instruments for frailty
assessment are too complicated for use in acute care sit-
uations. Some more straightforward tools involve a type
of manual evaluation approach that may be time-
consuming, prone to inter-operator error and might ex-
pose the assessor to further infection risk. Nevertheless,
recent research, including three hundred thousand
adults, has shown that frailty is associated with more se-
vere COVID-19 and higher mortality rates regardless of
the assessment tool used [84].
A well-validated frailty tool that includes physical as-
sessment is the frailty phenotype score which requires
patients to perform physical maneuvers, such as hand-
grip strength and gait-speed assessments [85], that are
hard to assess during pandemics. Even non-physical
tools could be too long to be used in the triage of pan-
demics, for example, the Edmonton Frail Scale (EFS)
[86] and the Groningen Frailty Indicator (GFI) [87], yet
the former was used for assessment of frailty among
older adults diagnosed with COVID-19 [88].
The Hospital Frailty Risk Score (HFRS) developed by
Thomas Gilbert and colleagues [89] is another validated,
systemic, and low-cost tool to identify hospitalised frail
people at risk for mortality and adverse outcomes. It gen-
erates electronic health record data, and it has the advan-
tage that it can be calculated instantly upon or just before
admission. The HFRS was efficiently used for frailty
screening in eighteen thousand older adults (65 years)
diagnosed with COVID-19 [90]; however, one study in-
cluding 4000 adults admitted to ICU has shown that
HFRS did not independently predict the outcome of ICU
patients 75 years [91]. Nevertheless, the HRFS needs
electronic health records to be available in a nationwide
health information network that contains the ICD-10
diagnostic codes of all the previous inpatient and out-
patient admissions, which in some limited-resources
health systems is difficult, if not impossible. Similarly, the
Frailty Index (FI) is a well-validated tool for frailty screen-
ing in the general population [92], and it was used with
COVID-19 patients [93]. However, the FI requires labora-
tory tests and some previous medical records, which
might not be available in many health facilities.
Other short tools recommended for frailty screening
in the emergency department include PRISMA-7 [94,
95], FRAIL scale [96], and The Clinical Frailty Scale
(CFS) [97]. PRISMA-7 defines an older adult as frail or
non-frail without referring to the level of frailty. The
FRAIL scale is a self-reporting test [96], and it was used
for frailty assessment among older adults diagnosed with
COVID-19 [13]. (see supplementary Table 2).
The CFS depends on both the assessors clinical judg-
ment and information from prior geriatric assessments.
It classifies frailty in old persons to nine grades, where
grade 1 is very fit, and grade 9 is terminally ill. The CFS
considers the cognitive function, mobility, comorbidities,
and functional status combined into a pictograph [97].
Predictably, the CFS was recommended for frailty
screening in the emergency setting and by critical care
staff, owing to its excellent predictability of mortality
and the length of hospitalization, not only that, but also
it was the most comprehensive user-friendly tool, yet
less exigent [94,98100]. Similarly, the European Very
elderly Intensive Patient (VIP2) study, which included
4000 older adults (80 years) admitted to the ICU, has
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shown that the CFS score was inversely associated with
short-term survival [101].
One of CFSs most significant advantages is that it
does not require any physical evaluation that is challen-
ging to be performed in the ED. Also, it easy to use in
multiple settings, including the acute general medical
setting, even by non-trained junior doctors [102,103].
This Feasibility of CFS gives it ancillary benefits in
health systems with limited means where there is a
lack of experienced doctors, as well as in pandemics
time when rapid decisions are required in busy ED
Recently, the International Conference of Frailty and
Sarcopenia Research (ICFSR) has recommended in
their 2019 guidelines, the CFS, as a screening tool for
frailty [104].
During the current pandemic, the National Institute
for Health and Care Excellence (NICE) has opted for
using the CFS as a screening tool in COVID-19 triage.
NICE has chosen the degree of frailty in older adults as
a filtering criterion for hospitalisation and critical care
admission, where the assessor should ask for a patients
capability 2 weeks ago before their presentation in ED.
NICE also recommends that a COVID positive patient
with CFS 5 be managed initially outside critical care
[75]. Similarly, Nederland guidelines [105] and the Bel-
gian Society of Intensive care medicine have recom-
mended using the CFS in COVID-19 triage [66].
Therefore, during the current pandemic, many studies
have used CFS to screen frailty among older adults diag-
nosed with COVID-19 [5961,105109]. Indeed, many
studies have shown that higher CFS scores were associ-
ated with prolonged hospitalisation, poor outcomes, and
higher mortality rates among older adults diagnosed
with COVID-19 [59,105,109].
It should be noticed that a CFS cut-off 5 is not abso-
lute, while it was recommended by NICE [75], studies
from France [109], the COMET study from 11 European
countries has shown that CFS cut-off 6 was a more
suitable risk marker for mortality among frail adults
(65 years old) diagnosed with COVID-19 [110]. How-
ever, a study from Australia and New Zealand that
includes 10,000 adults (median age 64 years) has shown
that a CFS score of less than 7 was not strongly associated
with mortality [63].
Fig. 3 This figure shows that the allocation of ventilators to non-frail and pre-frail older adults was associated with better outcomes and lower
mortality rates
Hussien et al. BMC Geriatrics (2021) 21:389 Page 7 of 11
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
Nevertheless, it is crucial to understand that frailty
does not define futility in older adults and that the deci-
sions to hospitalise a patient or admit them to ICU are
beset with difficulties. Such difficulties are because, to
the best of our knowledge, there is no yet a studied cut-
off of any frailty instrument, which defines the patient
who would benefit from ICU admission. Indeed, the
frontier between futilityand worthinessof ICU ad-
mission for old frail individuals is faint. (See Fig. 3,
Frailty screening and allocation of ventilators in ICU).
Owing to its feasibility and accuracy, the CFS is hence
proposed to be a handy tool in identifying frailty, pre-
dicting the length of stay, and mortality among old
adults who present in emergency settings and presum-
ably, in the triage of COVID-19. Finally, categorising
older adults according to their frailty degree will permit
electing those requiting full therapeutic options and
those who should be managed in the palliative care set-
ting, like nursing homes, without admitting them to the
hospital. Therefore, new guidelines should be con-
structed that address the management of frail old adults
in times of pandemics, mainly when there is a surge in
health care demands, without compromising both ethical
and clinical aspects.
Conclusions
The frail old population is a special segment of the
population with their particularities, distinguishing them
from the rest. Older adults, in particular, frail ones, have
a weaker immune system, reduced gut microbiota diver-
sity, and longstanding inflammatory status than the gen-
eral population. Those factors contribute to the severity
of COVID-19 and the high mortality rate. Moreover,
frailty in patients with COVOD-19 is associated with
poor outcomes, mortality in ICU, re-admission and short
survival post-ICU discharge. Moreover, frailty is associ-
ated with a poor response to vaccination and more side
effects, and hence, as a precautionary measure, it might
be reasonable to screen older adults for frailty before
vaccination.
The allocating of healthcare resources, mainly mech-
anical ventilators, is a wise requisite in times of pan-
demics. Therefore, we suggest that the decision of NO
ICU admission for older persons should depend on
their degree of frailty as a primary selection criterion
and that excluding patients based merely on their age is
unreliable. The assessment of frailty in COVID-19 or
any pandemic triage is thus mandatory to define
priorities and actions, and it would provide essential in-
formation to evaluate the efficiency of COVID-19 man-
agement. Owing to its feasibility, user-friendliness and
sensitivity, together with the prediction of poor out-
comes and mortality among COVID-19 frail adults, we
suggest that the Clinical frailty scale is the screening tool
of choice in COVID-19 triage.
Our findings imply that the optimisation of treatment
and management of older adults in COVID-19 and fu-
ture pandemics may differ between frail and non-frail in-
dividuals, and hence, cannot be achieved without proper
frailty assessment before hospital admission. Accord-
ingly, several policy implications should be considered in
dealing with frail old adults in pandemics; additional re-
search is required to delineate more clearly the role of
frailty in pandemics as cause and effect.
Abbreviations
ACP: Advance Care Planning; CFS: Clinical frailty scale; CLIP: Chronic Low-
grade Inflammatory Phenotype; CD: Cluster of Differentiation; COPE: COVID-
19 in Older PEople; COVID-19: Coronavirus disease 2019; CRP: C-reactive
Protein; ED: Emergency department.; HFRS: The Hospital Frailty Risk Score;
ICFSR: International Conference of Frailty and Sarcopenia Research; ICNA
RC: Intensive Care National Audit & Research Centre; ICU: Intensive care unit;
IFN: Interferon; IL: Interleukin; IPD: Inpatient department; NICE: The National
Institute for Health and Care Excellence; OPD: Outpatient department;
SAMS: Swiss Academy of Medical Sciences; SARS-CoV-2: Severe acute
respiratory syndrome coronavirus 2; SOFA: Sequential Organ Failure
Assessment; TNF: Tumor Necrosis Factor
Supplementary Information
The online version contains supplementary material available at https://doi.
org/10.1186/s12877-021-02316-5.
Additional file 1: Supplementary Table 1. The main frailty screening
tools used in clinical practice.
Additional file 2: Table 2. Frailty assessment tools that were used
during the COVOD-19 pandemic.
Acknowledgements
This work was supported by a grant of the Ministry of Research, Innovation
and Digitization, CNCS/CCCDI-UEFISCDI, project number PN-III-P4-ID-PCE-
2020-2393, within PNCDIII.We would like also to thank Jihane Al Echcheikh
from the European Medical StudentsAssociation (EMSA) in Iasi, Romania, for
her contribution in creating the figures for this article.
Authorscontributions
HH and AC were responsible for the articles concept and design; HH, AC,
MP did literature review; HH, MA and AN wrote the manuscript; MA, AC, IN,
and MP corrected the manuscript. All co-authors have read and have ap-
proved the final version of the manuscript.
Funding
No external source of funding was received for the present article.
Availability of data and materials
Not applicable.
Declarations
Ethical approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
All authors declare that they have no competing interests.
Hussien et al. BMC Geriatrics (2021) 21:389 Page 8 of 11
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
Author details
1
Dr C I Parhon University Hospital, Department of Nephrology, Iasi, Romania.
2
Department of Internal Medicine, Nephrology and Geriatrics, Grigore T Popa
University of Medicine and Pharmacy, Faculty of Medicine, Bd Carol nr 50,
Iasi, Romania.
3
Section of Geriatrics, Department of Internal Medicine and
Pediatrics, Ghent University, Ghent, Belgium.
Received: 27 July 2020 Accepted: 6 June 2021
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... The COVID-19 pandemic has been one of the most serious outbreaks over the past century ( Cummings et al., 2020 ). The high mortality and poor prognosis observed in older individuals diagnosed with COVID-19 are natural consequences of the elevated prevalence of comorbidities, and weakened immune systems, and the most important result is frailty within this distinct population ( Hussien et al., 2021 ). Fried et al. characterized frailty as the fulfillment of at least three out of five phenotypic criteria including low grip strength, low energy, slowed waking speed, low physi- JID: YJPMN [mNS;February 25, 2024;5:6 ] symptoms, poor sleep quality, and pain, which are associated with the emergence or progression of frailty. ...
... This study has some significant implications for future research. Compared to the general population, frail older adults constitute a distinct group characterized by a weaker immune system, reduced diversity of gut microbiota, and prolonged inflammation ( Hussien et al., 2021 ). These factors contribute to the severity and higher mortality rate following COVID-19 infections. ...
... The NANC rate within 10 days from admission was numerically higher in the azvudine group than in the other two groups (57.1% vs. 27.8% vs. 17.4%). Although the NANC rate within 14 days in the azvudine group was slightly lower than in the nirmatrelvir/ritonavir group, it was higher than in the SOC group (71.4% vs. 83.3% vs. 43.5%). Therefore, azvudine could reduce the viral load and accelerate the clearance of the SARS-CoV compared with SOC. ...
... Older adults represent a special population of patients with COVID-19. Indeed, frailty and malnutrition are often encountered in older adults and are factors of poor prognosis for many diseases, including COVID-19 [42,43]. In addition, several comorbidities observed in older adults are factors of poor COVID-19 prognosis, including cancer, cardiovascular diseases, kidney diseases, liver diseases, pulmonary conditions, and rheumatic and musculoskeletal diseases [10][11][12][13]. ...
Article
Full-text available
Background Azvudine has clinical benefits and acceptable safety against COVID-19, including in patients with comorbidities, but there is a lack of available data for its use in older adult patients. This study explored the effectiveness and safety of azvudine in older adults with mild or moderate COVID-19. Methods This retrospective cohort study included patients aged ≥80 diagnosed with COVID-19 at the Central Hospital of Shaoyang between October and November 2022. According to the therapies they received, the eligible patients were divided into the azvudine, nirmatrelvir/ritonavir, and standard-of-care (SOC) groups. The outcomes were the proportion of patients progressing to severe COVID-19, time to nucleic acid negative conversion (NANC), and the 5-, 7-, 10-, and 14-day NANC rates from admission. Results The study included 55 patients treated with azvudine (n = 14), nirmatrelvir/ritonavir (n = 18), and SOC (n = 23). The median time from symptom onset to NANC of the azvudine, nirmatrelvir/ritonavir, and SOC groups was 14 (range, 6–25), 15 (range, 11–24), and 19 (range, 18–23) days, respectively. The median time from treatment initiation to NANC of the azvudine and nirmatrelvir/ritonavir groups was 8 (range, 4–20) and 9 (range, 5–16) days, respectively. The median length of hospital stay in the three groups was 10.5 (range, 5–23), 13.5 (range, 10–21), and 17 (range, 10–23) days, respectively. No treatment-related adverse events or serious adverse events were reported. Conclusion Azvudine showed satisfactory effectiveness and acceptable safety in older adults with mild or moderate COVID-19. Therefore, azvudine could be a treatment option for this special patient population.
... The 6-month mortality rate was 21% overall, and analyzed by age group, 36% of those who died were aged 75 years or older and 8% of those who died were aged 60-74 years [49]. Frail older adults have a pre-existing immunopathological basis that exposes them to an increased risk of poor outcomes and mortality from COVID-19 and poor response to COVID-19 vaccination [50]. It is noteworthy that in our study, age is not a prognostic marker. ...
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Background: The long-term survival of patients hospitalized with COVID-19 and the factors associated with poorer survival months after infection are not well understood. The aims of the present study were to analyze the overall mortality 10 months after admission. Methods: 762 patients with COVID-19 disease were included. Patients underwent a complete clinical evaluation, routine laboratory analysis and chest X-ray. Data collected included demographic and clinical data, such as vascular risk factors, tobacco or alcohol use, comorbidity, and institutionalization. Results: Ten-month mortality was 25.6%: 108 deaths occurred in-hospital, while 87 patients died after discharge. In-hospital mortality was independently related to NT-proBNP values > 503.5 pg/mL [OR = 4.67 (2.38–9.20)], urea > 37 mg/dL [3.21 (1.86–7.31)] and age older than 71 years [OR = 1.93 (1.05–3.54)]. NT-proBNP values > 503.5 pg/mL [OR = 5.00 (3.06–8.19)], urea > 37 mg/dL [3.51 (1.97–6.27)], cognitive impairment [OR = 1.96 (1.30–2.95), cancer [OR = 2.23 (1.36–3.68), and leukocytes > 6330/mm3 [OR = 1.64 (1.08–2.50)], were independently associated with long-term mortality. Conclusions: the risk of death remains high even months after COVID-19 infection. Overall mortality of COVID-19 patients during 10 months after hospital discharge is nearly as high as that observed during hospital admission. Comorbidities such as cancer or cognitive impairment, organ dysfunction and inflammatory reaction are independent prognostic markers of long-term mortality.
... ⇒ Potential limitations are as a feasibility study, it will assess a pretest and post-test intervention with non-randomisation of sample and to sufficiently engage hard-to-reach target groups including those with poor digital literacy and low socioeconomic status, impacting representation of the participant group and generalisability of the findings. Open access 14% of older people in the UK, 7 and even higher numbers of individuals in the early stages of frailty, ranging from 19% to 53%. 8 Frailty is an ever-present burden among international populations, which has been exacerbated by the impact of the COVID-19 pandemic 9 and the resultant deconditioning. 10 While moderate to severe frailty has a higher risk of physical health declines, mild to moderate frailty with some loss of physiological reserve is considered to be potentially reversible 11 to a robust or stable state. ...
Article
Full-text available
Background Multidomain interventions in older adults offer the best opportunity to prevent, delay or reverse existing symptoms in the earlier stages of frailty and improve independence but can be costly, and difficult to deliver at scale. However, digital health interventions enable personalised care and empowerment through self-management of long-term conditions, used at any time and when combined with health coaching offer the potential to enhance well-being and facilitate the achievement of health-related goals. We aim to evaluate the feasibility and acceptability of a digital health platform for long-term disease management combined with health coaching for people living with mild-moderate frailty, targeting self-identified goals—activity, nutrition, mood, enhancing social engagement and well-being. Methods and analysis This is a non-randomised feasibility, single-group, pretest/post-test study, using qualitative and quantitative methods. The digital health coaching intervention (DIALOR—DIgitAL cOaching for fRailty) has been developed for implementation to older adults, aged 65 years or older with mild to moderate frailty and diagnosis of one or more long-term health conditions in the community. Participants will receive 12 weeks of health coaching and have access to a mobile health platform for 6 months. The primary outcome measure is the acceptability and feasibility of DIALOR along with a range of secondary outcome measures (including frailty, functioning measures, quality of life, social engagement, diet quality and self-reported indicators) collected at baseline and at 6 months. The findings will inform whether a wider effectiveness trial is feasible and if so, how it should be designed. Ethics and dissemination Ethical approval has been granted by the Southeast Scotland Research Ethics Committee 02 (reference: 22/SS/0064). Research findings will be disseminated in a range of different ways to engage different audiences, including publishing in open-access peer-reviewed journals, conference presentations, social media, dissemination workshop with patients, carers, and healthcare professionals and on institution websites.
... Frail individuals are particularly susceptible to the deterioration of their health status due to acute illnesses. 40 Mitigating the severity of such acute insults holds paramount signi cance in the reduction of the propensity toward aggravated disabilities and frailty. ...
Preprint
Full-text available
Background: During the COVID-19 pandemic, individuals residing in long-term care facilities (LTCF) are particularly vulnerable to adverse outcomes due to their higher rates of frailty, disabilities, cognitive impairment, dementia, and chronic illnesses. In low and middle-income nations, research on immunizing frail populations is lacking, while most studies on COVID-19 in LTCF come from wealthier nations and may not fully capture the situation in emerging countries. Methods: We aimed to evaluate the effectiveness of first, second and third COVID-19 vaccine doses, against infections, hospitalizations, and deaths, and their association with frailty, age, sex and chronic disease, among older adults, in a social vulnerability context. This retrospective cohort study, comprises a total of 712 older adults, in a social vulnerability context, of 29 LTCF, in Brazil. Continuous variables were described by medians and interquartile ranges and categorical variables were represented by absolute and relative frequencies. The Mann-Whitney test was used. For evaluating the relation between categorical variables, Pearson's chi-square test was used. When comparing proportions, the Z test of proportion was applied. A significance level of 5% was considered. Results: Median age was 81.37 years, 72.8% were female, 94.61% were frail, 79.97% had a cognitive impairment, 69.54% had a mobility impairment, 78.37% have, at least, one chronic disease and 72.73% use five or more medications per day. Before the vaccine, mobility impairment was associated with great contamination rates (p=.03); frailty (p=.02) and previous pulmonary disease (p=.03) with symptoms of gravity; frailty (p=.02), pulmonary disease (p=.04) and male sex (p=.02) with emergency care or hospital admission. After the third vaccine dose, only frailty remains associated with admissions (p=.03). The number of positive cases (p=.001), symptomatic patients (p<.001), admissions (p=.001) and deaths (p<.001) were substantially reduced after the three vaccine doses. Conclusions and Implications: Even in a frail population, the vaccine was effective, in the reduction of positive cases, the number of symptomatic patients, admission to emergency or hospital care and deaths. Before the vaccine, frailty, previous pulmonary disease and male sex were associated with worse outcomes. After the vaccine, frailty remains associated with a major number of admissions.
... It is known that these institutions are relatively closed and high-occupancy settings. They are commonly homes for the elderly with medical and social vulnerabilities [7], [9], [12]. Institutionalized people have a variety of chronic conditions in an advanced stage that make them fragile and unable to perform self-care and personal hygiene practices [5], [8], [13], [14], [15]. ...
Article
Full-text available
BACKGROUND: At the beginning of the pandemic, health authorities warned that the most vulnerable group of the coronavirus infection are persons over the age of 65 and in particular institutionalized elderly, as their mortality rate is growing exponentially. Therefore, the protection of old people living in social institutions during the periods of COVID-19 waves is an essential priority.
Article
b> Introduction: With a surge in the prevalence of coronavirus disease-2019 (COVID-19) in Beijing starting in October 2022, hospitalisation rates increased markedly. This study aimed to evaluate factors associated with in-hospital mortality in patients with COVID-19. Methods: Using data from hospitalised patients, sex-based differences in clinical characteristics, in-hospital management, and in-hospital mortality among patients diagnosed with COVID-19 were evaluated. Predictive factors associated with mortality in 1,091 patients admitted to the Beijing Anzhen Hospital (Beijing, China) for COVID-19 between October 2022 and January 2023 were also evaluated. Results: Data from 1,091 patients hospitalised with COVID-19 were included in the analysis. In-hospital mortality rates for male and female patients were 14.9% and 10.4%, respectively. Multifactorial logistic analysis indicated that lymphocyte percentage (LYM%) (odds ratio [OR] 0.863, 95% confidence interval [CI] 0.805–0.925; p < 0.001), uric acid (OR 1.004, 95% CI: 1.002–1.006; p = 0.001), and high-sensitivity C-reactive protein (OR 1.094, 95% CI: 1.012–1.183; p = 0.024) levels were independently associated with COVID-19-related in-hospital mortality. Among female patients, multifactorial analysis revealed that LYM% (OR 0.856, 95% CI: 0.796–0.920; p < 0.001), older age (OR 1.061, 95% CI: 1.020–1.103; p = 0.003), obesity (OR 2.590, 95% CI: 1.131–5.931; p = 0.024), and a high high-sensitivity troponin I level (OR 2.602, 95% CI: 1.157–5.853; p = 0.021) were risk factors for in-hospital mortality. Receiver operating characteristic (ROC) curve analysis, including area under the ROC curve, showed that the efficacy of LYM% in predicting in-hospital death was 0.800 (sensitivity, 63.2%; specificity, 83.2%) in male patients and 0.815 (sensitivity, 87.5%; specificity, 64.4%) in female patients. Conclusion: LYM% is a consistent predictor of in-hospital mortality for both sexes. Older age and markers of systemic inflammation, myocardial injury, and metabolic dysregulation are also associated with a high mortality risk. These findings may help identify patients who require closer monitoring and tailored interventions to improve outcomes.
Article
Aim We previously described a method to identify frailty transitions during the coronavirus disease-2019 pandemic. This study aimed to validate this method during a different period. Methods In a 2-wave cohort study, self-reported questionnaires were distributed to 1953 community-dwelling older adults. In addition, we analyzed the data of nonfrail participants at baseline to indicate the predictive ability for frailty transition. Results and Conclusions For the combined factors of older than 75 years and subjective leg muscle weakness, the sensitivity was 0.522 and the specificity was 0.637 to discriminate frailty transition. This method can be used with questionnaires without physical contact.
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Sepsis is a significant public health concern, particularly affecting individuals above 70 years in developed countries. This is a crucial fact due to the increasing aging population, their heightened vulnerability to sepsis, and the associated high mortality rates. However, the morbidity and long-term outcomes are even more notable. While many patients respond well to timely and appropriate interventions, it is imperative to enhance efforts in identifying, documenting, preventing, and treating sepsis. Managing sepsis in older patients poses greater challenges and necessitates a comprehensive understanding of predisposing factors and a heightened suspicion for diagnosing infections and assessing the risk of sudden deterioration into sepsis. Despite age often being considered an independent risk factor for mortality and morbidity, recent research emphasizes the pivotal roles of frailty, disease severity, and comorbid conditions in influencing health outcomes. In addition, it is important to inquire about the patient's preferences and establish a personalized treatment plan that considers their potential for recovery with quality of life and functional outcomes. This review provides a summary of the most crucial aspects to consider when dealing with an old critically ill patient with sepsis.
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Background: During the COVID-19 pandemic, the scarcity of resources has necessitated triage of critical care for patients with the disease. In patients aged 65 years and older, triage decisions are regularly based on degree of frailty measured by the Clinical Frailty Scale (CFS). However, the CFS could also be useful in patients younger than 65 years. We aimed to examine the association between CFS score and hospital mortality and between CFS score and admission to intensive care in adult patients of all ages with COVID-19 across Europe. Methods: This analysis was part of the COVID Medication (COMET) study, an international, multicentre, retrospective observational cohort study in 63 hospitals in 11 countries in Europe. Eligible patients were aged 18 years and older, had been admitted to hospital, and either tested positive by PCR for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or were judged to have a high clinical likelihood of having SARS-CoV-2 infection by the local COVID-19 expert team. CFS was used to assess level of frailty: fit (CFS1-3), mildly frail (CFS4-5), or frail (CFS6-9). The primary outcome was hospital mortality. The secondary outcome was admission to intensive care. Data were analysed using a multivariable binary logistic regression model adjusted for covariates (age, sex, number of drugs prescribed, and type of drug class as a proxy for comorbidities). Findings: Between March 30 and July 15, 2020, 2434 patients (median age 68 years [IQR 55-77]; 1480 [61%] men, 954 [30%] women) had CFS scores available and were included in the analyses. In the total sample and in patients aged 65 years and older, frail patients and mildly frail patients had a significantly higher risk of hospital mortality than fit patients (total sample: CFS6-9vs CFS1-3 odds ratio [OR] 2·71 [95% CI 2·04-3·60], p<0·0001 and CFS4-5vs CFS1-3 OR 1·54 [1·16-2·06], p=0·0030; age ≥65 years: CFS6-9vs CFS1-3 OR 2·90 [2·12-3·97], p<0·0001 and CFS4-5vs CFS1-3 OR 1·64 [1·20-2·25], p=0·0020). In patients younger than 65 years, an increased hospital mortality risk was only observed in frail patients (CFS6-9vs CFS1-3 OR 2·22 [1·08-4·57], p=0·030; CFS4-5vs CFS1-3 OR 1·08 [0·48-2·39], p=0·86). Frail patients had a higher incidence of admission to intensive care than fit patients (CFS6-9vs CFS1-3 OR 1·54 [1·21-1·97], p=0·0010), whereas mildly frail patients had a lower incidence than fit patients (CFS4-5vs CFS1-3 OR 0·71 [0·55-0·92], p=0·0090). Among patients younger than 65 years, frail patients had an increased incidence of admission to intensive care (CFS6-9vs CFS1-3 OR 2·96 [1·98-4·43], p<0·0001), whereas mildly frail patients had no significant difference in incidence compared with fit patients (CFS4-5vs CFS1-3 OR 0·93 [0·63-1·38], p=0·72). Among patients aged 65 years and older, frail patients had no significant difference in the incidence of admission to intensive care compared with fit patients (CFS6-9vs CFS1-3 OR 1·27 [0·92-1·75], p=0·14), whereas mildly frail patients had a lower incidence than fit patients (CFS4-5vs CFS1-3 OR 0·66 [0·47-0·93], p=0·018). Interpretation: The results of this study suggest that CFS score is a suitable risk marker for hospital mortality in adult patients with COVID-19. However, treatment decisions based on the CFS in patients younger than 65 years should be made with caution. Funding: LOEY Foundation.
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Introduction Increased mortality has been demonstrated in older adults with COVID-19, but the effect of frailty has been unclear. Methods This multi-centre cohort study involved patients aged 18 years and older hospitalised with COVID-19, using routinely collected data. We used Cox regression analysis to assess the impact of age, frailty, and delirium on the risk of inpatient mortality, adjusting for sex, illness severity, inflammation, and co-morbidities. We used ordinal logistic regression analysis to assess the impact of age, Clinical Frailty Scale (CFS), and delirium on risk of increased care requirements on discharge, adjusting for the same variables. Results Data from 5,711 patients from 55 hospitals in 12 countries were included (median age 74, IQR 54–83; 55.2% male). The risk of death increased independently with increasing age (>80 vs 18–49: HR 3.57, CI 2.54–5.02), frailty (CFS 8 vs 1–3: HR 3.03, CI 2.29–4.00) inflammation, renal disease, cardiovascular disease, and cancer, but not delirium. Age, frailty (CFS 7 vs 1–3: OR 7.00, CI 5.27–9.32), delirium, dementia, and mental health diagnoses were all associated with increased risk of higher care needs on discharge. The likelihood of adverse outcomes increased across all grades of CFS from 4 to 9. Conclusions Age and frailty are independently associated with adverse outcomes in COVID-19. Risk of increased care needs was also increased in survivors of COVID-19 with frailty or older age.
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Introduction: We describe the clinical features and inpatient trajectories of older adults hospitalized with COVID-19 and explore relationships with frailty. Methods: This retrospective observational study included older adults admitted as an emergency to a University Hospital who were diagnosed with COVID-19. Patient characteristics and hospital outcomes, primarily inpatient death or death within 14 days of discharge, were described for the whole cohort and by frailty status. Associations with mortality were further evaluated using Cox Proportional Hazards Regression (Hazard Ratio (HR), 95% Confidence Interval). Results: 214 patients (94 women) were included of whom 142 (66.4%) were frail with a median Clinical Frailty Scale (CFS) score of 6. Frail compared to nonfrail patients were more likely to present with atypical symptoms including new or worsening confusion (45.1% vs. 20.8%, p < 0.001) and were more likely to die (66% vs. 16%, p = 0.001). Older age, being male, presenting with high illness acuity and high frailty were independent predictors of death and a dose-response association between frailty and mortality was observed (CFS 1-4: reference; CFS 5-6: HR 1.78, 95% CI 0.90, 3.53; CFS 7-8: HR 2.57, 95% CI 1.26, 5.24). Conclusions: Clinicians should have a low threshold for testing for COVID-19 in older and frail patients during periods of community viral transmission, and diagnosis should prompt early advanced care planning.
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Background During the first wave of the COVID-19 pandemic older patients had an increased risk of hospitalisation and death. Reports on the association of frailty with poor outcome have been conflicting. Objective The aim of the present study was to investigate the independent association between frailty and in-hospital mortality in older hospitalised COVID-19 patients in the Netherlands. Methods This was a multi-centre retrospective cohort study in 15 hospitals in the Netherlands, including all patients aged ≥70 years, who were hospitalised with clinically confirmed COVID-19 between February and May 2020. Data were collected on demographics, co-morbidity, disease severity and Clinical Frailty Scale (CFS). Primary outcome was in-hospital mortality. Results A total of 1,376 patients were included (median age 78 years (IQR 74–84), 60% male). In total, 499 (38%) patients died during hospital admission. Parameters indicating presence of frailty (CFS 6–9) were associated with more co-morbidities, shorter symptom duration upon presentation (median 4 vs. 7 days), lower oxygen demand and lower levels of CRP. In multivariable analyses, the CFS was independently associated with in-hospital mortality: compared to patients with CFS 1–3, patients with CFS 4–5 had a two times higher risk (odds ratio (OR) 2.0 (95%CI 1.3–3.0) and patients with CFS 6–9 had a three times higher risk of in-hospital mortality (OR 2.8 (95%CI 1.8–4.3)). Conclusions The in-hospital mortality of older hospitalised COVID-19 patients in the Netherlands was 38%. Frailty was independently associated with higher in-hospital mortality, even though COVID-19 patients with frailty presented earlier to the hospital with less severe symptoms.
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Objectives: Precise international estimates of the age breakdown of COVID-19–related deaths and intensive-care-unit (ICU) admissions are lacking. We evaluated the distribution of COVID-19–related fatalities and ICU admissions by age groups in Europe. Materials and methods: On April 6, 2020, we systematically reviewed official COVID-19–related data from 32 European countries. We included countries that provided data regarding more than 10 COVID-19–related deaths stratified by age according to pre-specified age groups (i.e., <40, 40–69, ≥70 years). We used random-effects meta-analysis to summarize the data. Results: Thirteen European countries were included in the review, for a total of 31,864 COVID-19–related deaths (range: 27–14,381 per country). In the main meta-analysis (including data from Germany, Hungary, Italy, The Netherlands, Portugal, Spain, Switzerland; 21,522 COVID-19–related fatalities), the summary proportions of individuals <40, 40–69, and ≥70 years old among all COVID-19–related deaths were 0.1% (0.0–0.2; I ² 28.6%), 13.0% (10.8–15.4; I ² 91.5%), and 86.6% (84.2–88.9; I ² 91.5%), respectively. ICU data were available for four countries (France, Greece, Spain, Sweden). The summary proportions of individuals around <40–50, around 40–69, and around ≥60–70 years old among all COVID-19–related ICU admissions were 5.4% (3.4–7.8; I ² 89.0%), 52.6% (41.8–63.3; I ² 98.1%), and 41.8% (32.0–51.9; I ² 99%), respectively. Conclusions: People under 40 years old represent a small fraction of most severe COVID-19 cases in Europe. These results may help health authorities respond to public concerns and guide future physical distancing and mitigation strategies. Specific measures to protect older people should be considered.
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Objective The objective of this study was to identify predictive factors of mortality in older adults with COVID‐19, including the level of clinical frailty by using the Clinical Frailty Scale (CFS). Methods We analyzed medical records of all patients aged of 75 and older with a confirmed diagnosis of COVID‐19 hospitalized in our Hospital between March 3, 2020 and April 25, 2020. Standardized variables were prospectively collected, and standardized care were provided to all patients. Results 186 patients were included (mean 85.3±5.78 y). The all cause 30‐day mortality was 30% (56/186). At admission, dead patients were more dyspneic (57% vs 38%, p=0.014), had more often an oxygen saturation <94% (70% vs 47%, p<0.01) and had more often a heart rate faster than 90/min (70% vs 42%, p<0.001). Mortality increased in parallel with CFS score (p=0.051) (20 deaths (36%) in 7‐9 category). In multivariate analysis, CFS score (OR= 1.49 CI (95%), 1.01‐2.19, p=0.046), age (OR=1.15 CI 95% 1.01‐1.31 p=0.034), and dyspnea (OR=5.37 CI 95% 1.33‐21.68, p=0.018) were associated with all‐cause 30‐day mortality. Conclusions It is necessary to integrate the assessment of frailty to determine care management plan of older patients with COVID‐19, rather than the only restrictive criterion of age. This article is protected by copyright. All rights reserved.
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Background and Objectives To date, more than 1,000,000 confirmed cases and 65,000 deaths due to coronavirus disease 2019 (COVID-19) have been reported globally. Early data have indicated that older patients are at higher risk of dying from COVID-19 than younger ones, but precise international estimates of the age-breakdown of COVID-19-related deaths are lacking. Materials and Methods We evaluated the distribution of COVID-19-related fatalities by age groups in Europe. On April 6, 2020, we systematically reviewed COVID-19-related mortality data from 32 European countries (European Union/European Economic Area and the United Kingdom). We collated official reports provided by local Public Health or Ministry of Health websites. We included countries if they provided data regarding more than 10 COVID-19-related deaths stratified by age according to pre-specified groups (i.e., < 40, 40-69, ≥ 70 years). We used random-effects meta-analysis to estimate the proportion of age groups among all COVID-19-related fatalities. Results Thirteen European countries were included in the review, for a total of 31,864 COVID-19-related deaths (range: 27-14,381 per country). In the main meta-analysis (including data from Germany, Hungary, Italy, Netherlands, Portugal, Spain, Switzerland; 21,522 COVID-19-related fatalities), the summary proportions of persons < 40, 40-69, and ≥ 70 years of age among all COVID-19-related deaths were 0.1% (0.0-0.2%; I 2 24%), 12.8% (10.3-15.6%; I 2 94%), and 84.8% (81.3-88.1%; I 2 96%), respectively. Conclusions People under 40 years of age represent a small fraction of the total number of COVID-19-related deaths in Europe. These results may help health authorities respond to public concerns and guide future physical distancing and mitigation strategies.
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Background Older adults (aged ≥70 years) are at increased risk of severe disease and death if they develop COVID-19 and are therefore a priority for immunisation should an efficacious vaccine be developed. Immunogenicity of vaccines is often worse in older adults as a result of immunosenescence. We have reported the immunogenicity of a novel chimpanzee adenovirus-vectored vaccine, ChAdOx1 nCoV-19, in young adults, and now describe the safety and immunogenicity of this vaccine in a wider range of participants, including adults aged 70 years and older. Methods In this report of the phase 2 component of a single-blind, randomised, controlled, phase 2/3 trial (COV002), healthy adults aged 18 years and older were enrolled at two UK clinical research facilities, in an age-escalation manner, into 18–55 years, 56–69 years, and 70 years and older immunogenicity subgroups. Participants were eligible if they did not have severe or uncontrolled medical comorbidities or a high frailty score (if aged ≥65 years). First, participants were recruited to a low-dose cohort, and within each age group, participants were randomly assigned to receive either intramuscular ChAdOx1 nCoV-19 (2·2 × 10¹⁰ virus particles) or a control vaccine, MenACWY, using block randomisation and stratified by age and dose group and study site, using the following ratios: in the 18–55 years group, 1:1 to either two doses of ChAdOx1 nCoV-19 or two doses of MenACWY; in the 56–69 years group, 3:1:3:1 to one dose of ChAdOx1 nCoV-19, one dose of MenACWY, two doses of ChAdOx1 nCoV-19, or two doses of MenACWY; and in the 70 years and older, 5:1:5:1 to one dose of ChAdOx1 nCoV-19, one dose of MenACWY, two doses of ChAdOx1 nCoV-19, or two doses of MenACWY. Prime-booster regimens were given 28 days apart. Participants were then recruited to the standard-dose cohort (3·5–6·5 × 10¹⁰ virus particles of ChAdOx1 nCoV-19) and the same randomisation procedures were followed, except the 18–55 years group was assigned in a 5:1 ratio to two doses of ChAdOx1 nCoV-19 or two doses of MenACWY. Participants and investigators, but not staff administering the vaccine, were masked to vaccine allocation. The specific objectives of this report were to assess the safety and humoral and cellular immunogenicity of a single-dose and two-dose schedule in adults older than 55 years. Humoral responses at baseline and after each vaccination until 1 year after the booster were assessed using an in-house standardised ELISA, a multiplex immunoassay, and a live severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) microneutralisation assay (MNA80). Cellular responses were assessed using an ex-vivo IFN-γ enzyme-linked immunospot assay. The coprimary outcomes of the trial were efficacy, as measured by the number of cases of symptomatic, virologically confirmed COVID-19, and safety, as measured by the occurrence of serious adverse events. Analyses were by group allocation in participants who received the vaccine. Here, we report the preliminary findings on safety, reactogenicity, and cellular and humoral immune responses. This study is ongoing and is registered with ClinicalTrials.gov, NCT04400838, and ISRCTN, 15281137. Findings Between May 30 and Aug 8, 2020, 560 participants were enrolled: 160 aged 18–55 years (100 assigned to ChAdOx1 nCoV-19, 60 assigned to MenACWY), 160 aged 56–69 years (120 assigned to ChAdOx1 nCoV-19: 40 assigned to MenACWY), and 240 aged 70 years and older (200 assigned to ChAdOx1 nCoV-19: 40 assigned to MenACWY). Seven participants did not receive the boost dose of their assigned two-dose regimen, one participant received the incorrect vaccine, and three were excluded from immunogenicity analyses due to incorrectly labelled samples. 280 (50%) of 552 analysable participants were female. Local and systemic reactions were more common in participants given ChAdOx1 nCoV-19 than in those given the control vaccine, and similar in nature to those previously reported (injection-site pain, feeling feverish, muscle ache, headache), but were less common in older adults (aged ≥56 years) than younger adults. In those receiving two standard doses of ChAdOx1 nCoV-19, after the prime vaccination local reactions were reported in 43 (88%) of 49 participants in the 18–55 years group, 22 (73%) of 30 in the 56–69 years group, and 30 (61%) of 49 in the 70 years and older group, and systemic reactions in 42 (86%) participants in the 18–55 years group, 23 (77%) in the 56–69 years group, and 32 (65%) in the 70 years and older group. As of Oct 26, 2020, 13 serious adverse events occurred during the study period, none of which were considered to be related to either study vaccine. In participants who received two doses of vaccine, median anti-spike SARS-CoV-2 IgG responses 28 days after the boost dose were similar across the three age cohorts (standard-dose groups: 18–55 years, 20 713 arbitrary units [AU]/mL [IQR 13 898–33 550], n=39; 56–69 years, 16 170 AU/mL [10 233–40 353], n=26; and ≥70 years 17 561 AU/mL [9705–37 796], n=47; p=0·68). Neutralising antibody titres after a boost dose were similar across all age groups (median MNA80 at day 42 in the standard-dose groups: 18–55 years, 193 [IQR 113–238], n=39; 56–69 years, 144 [119–347], n=20; and ≥70 years, 161 [73–323], n=47; p=0·40). By 14 days after the boost dose, 208 (>99%) of 209 boosted participants had neutralising antibody responses. T-cell responses peaked at day 14 after a single standard dose of ChAdOx1 nCoV-19 (18–55 years: median 1187 spot-forming cells [SFCs] per million peripheral blood mononuclear cells [IQR 841–2428], n=24; 56–69 years: 797 SFCs [383–1817], n=29; and ≥70 years: 977 SFCs [458–1914], n=48). Interpretation ChAdOx1 nCoV-19 appears to be better tolerated in older adults than in younger adults and has similar immunogenicity across all age groups after a boost dose. Further assessment of the efficacy of this vaccine is warranted in all age groups and individuals with comorbidities. Funding UK Research and Innovation, National Institutes for Health Research (NIHR), Coalition for Epidemic Preparedness Innovations, NIHR Oxford Biomedical Research Centre, Thames Valley and South Midlands NIHR Clinical Research Network, and AstraZeneca.