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ORIGINAL PAPER/ARTYKU£ ORYGINALNY
Risk factors for falls in post-stroke patients treated in a neurorehabilitation ward
Czynniki ryzyka upadków u chorych po udarze mózgu rehabilitowanych
na oddziale rehabilitacji neurologicznej
Anna Czernuszenko
Neurorehabilitation Unit of the Second Department of Neurology, Institute of Psychiatry and Neurology, Warsaw
Neurologia i Neurochirurgia Polska 2007; 41, 1: 28–35
A b s t r a c t
S t r e s z c z e n i e
Background and purpose: Patients with neurological
disorders, including post-stroke patients, are at high risk
for falls. The purpose of the study was to estimate the
number and type of falls and fall-related injuries in patients
of a neurological rehabilitation ward and to identify risk
factors for falls.
Material and methods: 353 consecutive post-stroke
patients of the Neurorehabilitation Unit at the Institute of
Psychiatry and Neurology in Warsaw were enrolled into the
study and observed during the hospital stay. Falls occurring
in patients during their hospital stay were registered and an
analysis of fall-related data and the routinely obtained
medical data was performed.
Results: In the evaluated group, 35 (10%) patients suffered
50 falls, which corresponds to an incidence rate of 5.02 [95%
confidence interval (95% CI): 3.70-6.52] falls per 1000
patient-days. Most falls occurred in patients’ rooms (80%),
most of them taking place while transferring from one place
to another or while changing position. 2% of falls caused
severe injury. There was a higher percentage of patients with
unilateral neglect in the group of fallers (p=0.0007), who also
demonstrated poorer performance in activities of daily living
as expressed by the Rankin score (p <0.0002) and the
Barthel Index (p <0.0001), and greater neurological deficit
in the Scandinavian Stroke Scale (SSS) (p=0.002) at
admission as well as at discharge from hospital than
Wstêp i cel pracy: Pacjenci ze schorzeniami neurologiczny-
mi, a wœród nich chorzy po udarze, s¹ nara¿eni na czêste
upadki. Badanie mia³o na celu identyfikacjê czynników ry-
zyka upadków u pacjentów rehabilitowanych szpitalnie
po udarze mózgu, a tak¿e oszacowanie ich liczby, rodzaju
i konsekwencji.
Materia³ i metody: Do badania w³¹czono kolejnych 353 pa-
cjentów po udarze mózgu rehabilitowanych na Oddziale
Rehabilitacji Neurologicznej Instytutu Psychiatrii i Neuro-
logii. Rejestrowano upadki pacjentów podczas ich pobytu
na oddziale, nastêpnie analizowano dane dotycz¹ce upad-
ków oraz rutynowo pozyskiwane dane medyczne.
Wyniki: W badanej grupie odnotowano 50 upadków u 35
(10%) chorych. WskaŸnik upadków wynosi 5,02/1000 oso-
bodni [95% przedzia³ ufnoœci (95%CI): 3,70–6,52]. Wiêk-
szoœæ upadków (80%) nast¹pi³a w pokoju chorego. Do upad-
ków najczêœciej dochodzi³o podczas przesiadania i zmian po-
zycji. 2% upadków skutkowa³o powa¿nymi obra¿eniami cia³a.
Grupa upadaj¹cych charakteryzowa³a siê wiêkszym odset-
kiem osób z zespo³em pomijania stronnego (p=0,0007), ni¿-
szymi ocenami pocz¹tkowymi i koñcowymi w skalach Rankin
(p <0,0002), Barthel (p <0,0001) i w Skandynawskiej Skali
Udarowej (p=0,002). Ryzyko upadku najsilniej zwi¹zane by-
³o z punktacj¹ poni¿ej 15/20 w skali Barthel [ryzyko wzglêd-
ne (RR)=10,3 (95% CI: 2,8–50,7)], z punktacj¹ powy¿ej
3 w skali Rankina [RR=5,12 (95% CI: 2,41–14,8)], punkta-
Address for correspondence: Anna Czernuszenko, MD, Neurorehabilitation Unit of the Second Department of Neurology, Institute of Psychiatry
and Neurology, Warsaw, Sobieskiego 9, 02-957 Warszawa; e-mail: beres@mp.pl
Received: 11.05.2006; accepted: 18.11.2006
28
Neurologia i Neurochirurgia Polska 2007; 41, 1
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Falls in post-stroke patients
non-fallers. The risk of a fall showed greatest association with
low Barthel Index at admission (<15/20; RR=10.3; 95% CI:
2.8-50.7), performance in the Rankin score of >3
(RR=5.12; 95% CI: 2,41-14,8), low SSS score on admission
(0-39; RR=3.40; 95% CI: 1.62-9.14), and the presence of
hemispatial neglect (RR=3.42; 95% CI: 1.23-6.53). The
multiple-fallers group did not differ significantly from the
group of single-fallers.
Conclusions: Among post-stroke patients, falls are a
complication especially affecting persons with a large
neurological deficit, severe disability and the neglect syndrome.
Key words: falls, rehabilitation, stroke.
cj¹ poni¿ej 39 w Skandynawskiej Skali Udarowej [RR=3,40
(95% CI: 1,62–9,14)] oraz z obecnoœci¹ zespo³u zaniedbywa-
nia [RR=3,42 (95% CI: 1,23–6,53)]. Pacjenci, którzy prze-
wrócili siê wiele razy nie ró¿nili siê znamiennie od tych, którzy
upadli raz.
Wnioski: W grupie chorych po udarze upadki dotycz¹
zw³aszcza osób z du¿ym deficytem neurologicznym, ciê¿k¹
niepe³nosprawnoœci¹ i zespo³em zaniedbywania.
S³owa kluczowe: upadki, rehabilitacja, udar mózgu.
Introduction
rehabilitation ward predicted further falls during the
post-hospital period [5]. Awareness of the risk
factors, mechanisms and causes of falls may help in
limiting their number and sequelae in patients who
have had a stroke, which may significantly improve
the effects of post-stroke rehabilitation and the quality
of life of patients and their care-givers.
The aim of the present study was to assess the
incidence, circumstances and sequelae of falls among
patients of the Neurorehabilitation Unit and to verify
the risk factors for falls.
Falls constitute an important and difficult problem
in the elderly population. They are the main cause of
injuries and fractures in this age group [1]. The
incidence of falls in the general population increases
with age, while the risk of serious sequelae of falls also
increases with age and with worsening of health. Apart
from that, falls are one of the most frequent
complications of hospitalizations in neurological,
geriatric and post-stroke rehabilitation wards [2-10].
In post-stroke patients, the risk of falls is twice as high
as that in the general population [11] and refers to
approximately 40-70% of patients during the first year
after stroke [5,12,13]. This group of patients is
concomitantly exposed to dynamic development of
osteoporosis, especially on the paretic side [14]. It is
estimated that in patients with hemiparesis, a 14%
reduction in bone mineral density occurs during the
first year following stroke [15], which exceeds by
approximately twenty-fold bone mass reduction
observed per year in healthy persons at the same age.
High risk of falls together with large bone mass loss in
this group of patients results in a four-fold increase in
the risk of femoral neck fractures [1].
Specific risk factors for falls have been defined for
the population of post-stroke patients. They include:
male gender, limited independence in activities of
daily living, urinary incontinence, balance
disturbances, presence of left-sided or bilateral motor
deficit, sensory disturbances, unilateral neglect, use of
hypotensive, diuretic, anti-depressant, psychotropic
or sedative agents, history of previous falls, and
cognitive function disturbances [11,16-21]. It was
also observed that occurrence of falls in a
Material and methods
The study was conducted in the Neurorehabilitation
Unit at the Second Department of Neurology at the
Institute of Psychiatry and Neurology in Warsaw. It is a
forty-bed ward for inpatients. Patients with acquired
lesions of the central nervous system, most often as a
result of stroke, are admitted to the ward, usually within
the first three months following the onset of the disease.
The study was conducted in a prospective manner.
All 353 patients with established diagnosis of stroke
based on clinical criteria and neuroimaging studies
who were admitted to the ward between June 1, 2002
and July 31, 2003 were enrolled into the study.
Duration of observation ranged from 1 to 74 days
(mean: 28.2±13.3 days) and was equal to the number
of days of patients’ hospitalisation. Characteristics of
the studied group are presented in Table 1.
Falls were recorded in a “Notebook of falls”
immediately after such an event by the nursing staff.
The notes included information on the time, site,
circumstances and sequelae of falls.
Neurologia i Neurochirurgia Polska 2007; 41, 1
29
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Anna Czernuszenko
Table 1. Characteristics of the study population
the scales assessing independence in the activities of
daily living (ADL) at baseline and by the end of the
hospital stay – the Rankin scale, the Barthel index, and
the Scandinavian Stroke Scale (SSS).
The results were presented as mean values,
frequencies expressed as percent values, and
incidence rates expressed as the ratio of the number
of events to the number of patient-days during the
observation period. To compare frequencies between
the groups, the
N=353
%
gender
M
199
56.4%
F
154
43.6%
age [years] mean (SD)*
62 (14)
duration of stay [days] mean (SD)
28.2 (13.3)
time since disease onset [days] median (range)
41.5 (5-1592)
type of stroke
ischaemic
or the Fisher exact test was used
depending on the sample size. Differences in mean
values were assessed using the Mann-Whitney
U-test. The level of statistical significance was set at
p<0.05. For the significant variables, relative risks
(RR) and 95% confidence intervals (95% CI) were
calculated. Statistica 6.0 software was used for the
statistical analysis.
χ
2
300
85%
haemorrhagic
50
14.2%
not identified
3
0.8%
side of limb paresis
right
169
48.1%
left
154
43.9%
both
20
5.7%
none
8
2.3%
Results
dysphasia
137
38.8%
unilateral neglect
38
10.8%
Thirty-five of the observed 353 patients (10%)
fell. Fifty falls were reported. The incidence rate of
falls is 5.02 per 1000 patient-days (95% CI 3.70-6.52),
which corresponds to 1 fall per 5 days in the
conditions of our ward.
For the first fall, the incidence ratio is 3.85 per 1000
patient-days (95% CI 2.57-512), and for subsequent
falls, 21.9 per 1000 patient-days (95% CI 12.3-35.8).
Falls occurred most frequently during the first
(42%) and the second (30%) week of hospitalisation.
Similarly, the incidence rate of falls was highest in the
first week of hospitalisation and tended to decrease in
subsequent weeks. Figure 1 shows the relationship
between the incidence rate of falls and the duration of
hospital stay; it illustrates a reduction in the risk of a
fall with longer hospital stay.
sensory deficit
64
18.1%
current medication
antidepressants
102
28.9%
diuretics
98
27.8%
hypotensives
253
71.7%
sedatives
43
12.2%
anticonvulsants
34
9.6%
neuroleptics
15
4.3%
antiparkinsonian agents
3
0.8%
Rankin 0** mean (SD)
3.3 (1.2)
Rankin 1*** mean (SD)
2.7 (1.2)
Barthel 0** mean (SD)
11.3 (5.9)
Barthel 1*** mean (SD)
14.5 (5.4)
SSS 0** mean (SD)
37.0 (11)
SSS 1*** mean (SD)
42.6 (10.5)
During the day, a marked increase in the number
of falls was observed between 11 a.m. and 12 p.m., and
a second, although much smaller, peak between 5 a.m.
and 6 a.m. Figure 2 illustrates the circadian
distribution of falls.
Twenty-six of the 35 (74.3%) patients who fell
during hospitalisation had a single fall; in 9 (24.7%)
persons, at least two falls (2-4) were observed. Multiple
falls in the same patients accounted for 48% of all events.
The majority of falls occurred in patients’ rooms
(80%), while they much less frequently occurred in the
bathroom (8.3%) or in the hallway (6.3%).
falls
35
10%
* SD – standard deviation
** 0 – score at admission
*** 1 – score at discharg e
SSS – Scandinavian Stroke Scale
Medical data were obtained from the
Neurorehabilitation Unit Hospital Discharge
Summaries stored in digital form. After termination of
the study, information on falls as well as data pertaining
to the following parameters were analysed: patients’
gender, age, duration of hospital stay, diagnosis, type of
neurological deficit, medications used, and scores on
30
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Falls in post-stroke patients
Patients fell most often during such activities as
transferring from one place to another (26%) and during
changing position from sitting to standing and vice versa
(18%). Falls occurred relatively frequently in patients
sitting in a wheelchair (16%). A few falls took place
during standing and walking. In contrast, as many as
14% of the recorded falls were classified as falls from the
supine position. No falls were reported outside the ward,
for example during exercises in the gymnastic hall.
In 21 cases (62.4%), no injuries were observed. In
10 cases (15.6%), mild injuries like contusion of soft
tissues, bruises, or smaller wounds not requiring
surgical care were observed. Only in one case (2%) did
a fall result in a more severe injury – an incised wound
requiring application of a suture.
Table 2 compares patient subgroups with and
without falls. The fallers did not differ significantly from
non-fallers with regard to gender, age, time from disease
onset, type of past stroke, side of the paresis, presence of
sensory deficits or duration of hospital stay. Similarly, no
significant differences were observed in the frequency of
use of medication proven to affect the risk of falls in post-
stroke patients and in the general population.
The group of fallers differed from non-fallers in
the following features: the fallers had poorer scores,
both at baseline and at study completion, in the scales
assessing independence in activities of daily living –
the Rankin scale and the Barthel index – and a greater
neurological deficit assessed in the Scandinavian
Stroke Scale. The risk of a fall showed strongest
association with a score below 15/20 points in the
Barthel index, a score above 3 in the Rankin scale, low
score (below 39 points) in the Scandinavian Stroke
Scale, and with the presence of the unilateral neglect
syndrome. Detailed results are listed in Table 3.
Significant correlations were found between falls and
scores in the Rankin scale (R=0.23), the Barthel
index (R=- 0.22), and the Scandinavian Stroke Scale
(R=- 0.17), as well as between falls and presence of
the neglect syndrome (R=0.19). No significant
differences were found between the subgroup of
patients who experienced a single fall and the
subgroup of multiple fallers.
1 2 3 4 5 6 7
weeks
Fig. 1. Relationship between the incidence rate of falls and the duration
of hospital stay
12
10
8
6
4
2
0
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
hours
Fig. 2. Circadian distribution of falls
process of rehabilitation [1,9,22]. Awareness of the
fact that the majority of injuries and fractures in this
group of patients are a consequence of falls, that
femoral neck fracture in post-stroke patients is
associated with one-year mortality of 30%, and that
only 25% of patients regain their pre-fracture agility
[1] requires that the problem of falls and their
prevention should be treated with due seriousness.
The dimension of the phenomenon in relation to
patients is illustrated by the percent of patients who fall
– 10% in the present study. The results of our study do
not differ significantly from those obtained by the
majority of authors [3,10,12,18,23,24], where the
number of fallers ranged between 8.7 and 14%;
however, they do differ from the results observed by
Nyberg (36% and 39% of fallers) [12]. Yet, in the
study by Nyberg [12], mean duration of patients’
observation (48 days) was markedly longer than that in
our study (28 days). In the studies with enrolment of
patients discharged home from hospital, an even
higher (up to 73%) percentage of fallers is observed
during a longer time period after the occurrence of
stroke – during a half-year observation period [5].
Discussion
Falls are a frequent phenomenon among patients
undergoing post-stroke rehabilitation. They are also a
source of further complications that can disturb the
Neurologia i Neurochirurgia Polska 2007; 41, 1
31
14
12
10
8
6
4
2
0
29654116.007.png 29654116.001.png 29654116.002.png
Anna Czernuszenko
Table 2. Comparison between the groups of non-fallers and fallers
NON-FALLERS
FALLERS
P
N=318
%
N=35
%
gender
M
177
55.7%
22
62.9%
0.52
F
141
44.3%
13
37.1%
age [years] mean (SD)*
61 (15)
66 (10)
0.09
duration of stay [days] mean (SD)
27.8 (13.3)
31.5 (13.5)
0.07
time since disease onset [days] median (range)
42.5 (5-1592)
36.5 (10-366)
0.4
type of stroke
ischaemic
271
85.2%
29
82.9%
0.7
haemorrhagic
45
14.2%
5
14.3%
0.82
not identified
2
0.6%
1
2.8%
0.69
side of paresis
right
156
49.1%
13
37.1%
0.23
left
135
42.5%
19
54.3%
0.26
both
17
5.3%
3
8.6%
0.85
none
8
2.5%
0
0%
0.73
dysphasia
120
37.7%
11
52.4%
0.58
unilateral neglect
27
8.5%
10
28.6%
0.0007
sensory deficit
54
17.0%
10
28.6%
0.14
current medication
antidepressants
91
28.6%
11
31.4%
0.88
diuretics
91
28.6%
7
20.0%
0.38
hypotensives
228
71.7%
25
71.4%
0.87
sedatives
37
11.6%
6
17.1%
0.5
anticonvulsants
32
10.1%
2
5.7%
0.6
neuroleptics
13
4.1%
2
5.7%
0.99
antiparkinsonian agents
3
0.9%
0
0.0%
0.7
Rankin 0 mean (SD)
3.2 (1.17)
4.1 (0.73)
<0.0001
Rankin 1 mean (SD)
2.6 (1.18)
3.3 (0.91)
0.0002
Barthel 0 mean (SD)
11.8 (5.9)
7.5 (4.1)
0.00005
Barthel 1 mean (SD)
14.8 (5.6)
12.2 (4.1)
0.0005
SSS 0 mean (SD)
37.6 (11.1)
30.3 (10.4)
0.002
SSS 1 mean (SD)
43 (10.7)
38.7 (9.3)
0.02
2 or the Fisher exact test was used. dependently on sample size. The Mann-Whitney U test was used for
calculation of differences between mean values. P values are given to present differences between the groups. For abbreviations and marks - see Table 1.
As approximately every fourth faller falls at least
twice, and subsequent falls constitute approximately
30% of all events, the percentage of fallers does not
illustrate the dimension of the phenomenon. The
incidence rate of falls, additionally normalized with
regard to the duration of observation, seems to be a
better measure in this case. Values of this index
reported in stroke and post-stroke rehabilitation wards
by other authors are greater than those observed based
on our data and are 8.9/1000 patient-days (6.2/1000
patient-days for the first and 17.9/1000 patient-days for
subsequent falls) according to Tutuarima [18] and
15.9/1000 patient-days in a study by Nyberg [12]. The
incidence rate of falls in our unit is even lower than the
32
Neurologia i Neurochirurgia Polska 2007; 41, 1
For the comparison of percent values between the groups of fallers and non-fallers the χ
29654116.003.png
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