From the Department of Preventive Medicine (S.-M.L., J.K.), and the
Center on Aging (P.W.D.), University of Kansas Medical Center, Kansas City;
the Department of Veteran Affairs Medical Center (P.W.D.), Kansas City, Mo;
and the Department of Health Services Research, University of Kansas,
Lawrence.
Correspondence to Sue-Min Lai, PhD, MS, MBA, Department of Preventive Medicine, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS 66160-7313. E-mail smlai{at}kumc.edu
MethodsThe participants in this ongoing study are 184
individuals who sustained an eligible stroke and were recruited for the
Kansas City Stroke Study. All patients were prospectively evaluated
using standardized assessments at enrollment (within 14 days of stroke
onset) and followed at 1, 3, and 6 months after stroke. Coefficient of
determination (R2) was used to assess the
ability of the 2 stroke scales to prognosticate outcomes.
ResultsMeans and SDs of the Orpington Prognostic Scale and NIH
Stroke Scale measured at baseline were 3.6±1.31 and 5.5±4.58,
respectively. The Spearman's rank correlation between the 2 baseline
measures was 0.83 (P=0.0001). The Orpington Prognostic
Scale and the NIH Stroke Scale explained well the variance in Barthel
ADL Index (P<0.001). However, the Orpington Prognostic
Scale explained more variance than did the NIH Stroke Scale. Similarly,
the Orpington Prognostic Score explained more variance in higher level
of physical function than did the NIH Stroke Scale. The amount of
variance in Barthel ADL Index and SF-36 PFI, which were explained by
both stroke severity measures, decreased over time.
ConclusionsOur results demonstrate that in a sample of mostly
mild and moderate strokes, the Orpington Prognostic Scale compared with
the NIH Stroke Scale is simpler to use and is a slightly better
predictor of ADL and higher levels of physical function.
Several impairment scales are available for clinical practice and
research.1 2 3 The National Institutes of Health
(NIH) Stroke Scale is probably the most frequently used measure of
stroke impairment.1 5 6 7 8 This stroke-specific
scale has been widely used in clinical trials to measure baseline
severity or progress associated with investigational
therapies.5 6 7 8 A recent study by Muir et
al9 shows that baseline NIH Stroke Scale predicts
3-month outcomes (alive at home, alive in care, or dead). Individuals
who scored greater than 13 on the NIH Stroke Scale had very poor
functional outcomes (alive in care or death) compared with those who
scored 13 or less. The Orpington Prognostic
Scale,10 which is modified from the Edinburgh
score,11 is a simple stroke impairment scale, but
it is not as well known or as commonly used as the NIH Stroke Scale.
When assessed at 2 weeks after stroke, the Orpington score was shown by
Kalra and Crome10 to be a useful indicator for
14-week poststroke activities of daily living (ADL) scores and
discharge disposition. Both the Orpington Prognostic Scale and the NIH
Stroke Scale appear to have good predictive validity but they require
different skills and amounts of time for administration. The purpose of
this study was to compare the ability of these two stroke impairment
scales to predict disability as measured by the Barthel ADL
Index12 and higher levels of self-reported
physical functioning index (PFI) as measured by the
SF-3613 at 1, 3, and 6 months after stroke.
To be accepted into this study, the subject had to have a confirmed
eligible stroke as defined by World Health Organization (WHO) criteria.
The stroke was confirmed by clinical assessment and/or by a CT/MRI
scan. A stroke was defined according to the WHO
criteria14 as "rapid onset and of vascular
origin reflecting a focal disturbance of cerebral function,
excluding isolated impairments of higher function and persisting longer
than 24 hours." Trained nurses/physical therapists reviewed medical
records and interviewed both patients and physicians to determine
whether the patient was eligible and consented for enrollment. Subjects
were excluded if they (1) were less than 18 years of age; (2) had
stroke onset more than 14 days earlier; (3) had stroke due to
subarachnoid hemorrhage; (4) had hepatic failure; (5)
had renal failure; (6) had New York Heart Association functional grade
III/IV heart failure (ie, patients with cardiac disease resulting in
inability or marked limitation to carry on any physical activity
without discomfort); (7) were not expected to live 6 months; (8) lived
in a nursing home prior to stroke; (9) were unable to take care of own
affairs prior to stroke; (10) were lethargic, obtunded, or comatose;
and (11) lived more than 70 miles from the participating hospital.
The patients were evaluated using a variety of standardized assessments
at enrollment and followed at 1, 3, and 6 months after stroke by a
study nurse/physical therapist at home or at a chronic care
facility. Each study nurse/physical therapist received at least 2 weeks
of training in the administration of the measures. All study nurses and
physical therapists received certification in the administration of NIH
Stroke Scale. Assessments included baseline demographics, stroke
characteristics, Orpington Prognostic Scale,10
NIH Stroke Scale,5 Barthel ADL
Index,12 and assessment of Prior Function on the
physical domain of the SF-3613 and SF-36
PFI.13 Measurements were performed at baseline
(within 14 days of stroke onset), 1 month, 3 months, and 6 months after
stroke. For the present study, only baseline measures from the
Orpington Prognostic Scale and NIH Stroke Scale and follow-up measures
from the Barthel ADL Index and SF-36 PFI were included in the
analysis.
The Orpington Prognostic Scale and the NIH Stroke Scale were used to
measure stroke severity at baseline. The Barthel ADL Index was used to
measure basic activities of daily living, and SF-36 PFI measured the
patients' higher level of physical functioning. The Orpington
Prognostic Scale includes measures of motor deficit in arm,
proprioception, balance, and cognition (Table 1
Descriptive statistics were used to show demographics, prior functional
status, stroke characteristics, severity of impairment due to stroke,
and scores on the Barthel Index and the SF-36 PFI measured at 1, 3, and
6 months after stroke. Correlation between the Orpington Prognostic
Score and the NIH Stroke Scale was calculated by the Spearman
rank correlation. Although the sum of item scores (eg, Barthel Index)
is ordinal in nature, the prognostic ability of the Orpington
Prognostic Score compared with that of the NIH Stroke Scale was
examined with linear regression analyses. However, it has been
argued that in some cases ordinal-level data may be treated as
interval-level data without serious problem.15
The R2 and adjusted
R2 values were used to measure the extent
to which an outcome can be explained by a stroke severity scale. The
explanatory ability of each of the domains of the Orpington Prognostic
Scale and the NIH Stroke Scale was further analyzed using
partial R2 from linear regression
analysis with a forward selection procedure.
Descriptive statistics on baseline stroke severity measured within 14
days after stroke (mean±SD, 8±3.8 days; range, 0 to 14 days) and
subjects' prior functional scores are shown in Table 2
Table 4
The variances in higher level function (SF-36 PFI) explained by the
baseline Orpington Prognostic Score and NIH Stroke Scale are also shown
in Table 4
The explanatory ability of the Orpington Prognostic Score for the
Barthel ADL Index at 1 month was primarily from balance (51%) followed
by motor deficit in arm (6%), cognition (6%), and proprioception
(1%). (Table 5
The NIH Stroke Scale cut point of 13 was selected on the basis of the
previous research of Muir et al9 and
others.16 Muir and
colleagues9 reported that with a cut point of 13
the NIH Stroke Scale predicted 3-month poor functional outcome with a
0.71 sensitivity, a specificity of 0.90, and an overall accuracy of
0.83. In their study, alive in care or death at 3 months after stroke
was used as a marker for poor 3-month functional outcome. The
functional outcome that did not separate alive in care from death may
be a reason why the NIH Stroke Scale with a cut point of 13 may be very
predictive of global outcomes but not as useful in the prediction of
functional outcomes (Barthel basic ADL and higher levels of physical
function). In their analysis,9 other
neurological scales (Canadian Neurological Scale, Middle Cerebral
Artery Neurological Score, and the Guy's Prognostic Score) were shown
to have predictive values similar to that of the NIH Stroke Scale for
global outcomes. Our analysis of ADL and higher physical
function outcomes demonstrated that a cutoff point of 13 for the NIH
Stroke Scale has low predictive value. Our outcome analysis was
the prospective assessment of ADL and higher physical function instead
of global outcomes, which were acquired by record linkage to death
records and hospital discharge records. Subsequently, our
results used different outcome measures that did not support the value
of using 13 as the cutoff for the NIH Stroke Scale.
In a cross-sectional study of individuals 6 months after stroke, De
Haan and colleagues1 reported that the variance
in Barthel ADL Index explained by impairment level measures including
the NIH Stroke Scale was less than 50%
(R2=47.50%). They also reported
that the relationships between impairment level measures and more
distal health status measures like the Sickness Impact Profile were
weak (R2=33%). Our prospective assessment
of the relationship between baseline impairment and functional outcome
at various times showed similar trends. In other words, our study
results showed that impairments are more strongly associated with ADL
than other measures of health status and that the variance explained by
both measures decreased over time. This is expected because disability
limitations may be minimized over time by development of compensatory
strategies and good physical, environmental, and social
support.17 18 Other factors such as depression
and urinary incontinence may also modify levels of physical
function.19 20
Analysis of the domains of the Orpington Prognostic Score and
the NIH Stroke Scale, which explained the variance in outcomes,
revealed that arm power in the NIH Stroke Scale explained most (48%)
of the variance in ADL outcomes, whereas in the Orpington Prognostic
Scale balance explained 51% of the variance in ADL outcomes. Balance
is a fundamental component of physical functioning and was incorporated
in the Orpington Prognostic Scale and not in the NIH Stroke Scale. This
may explain a slightly better prediction of physical function by stroke
severity when the Orpington Prognostic Scale was used.
The Orpington Prognostic Scale is easy to use, requires less than 5
minutes to perform the test, and requires no extensive training,
whereas the NIH Stroke Scale requires extensive training and
certification for administration.21 The NIH
Stroke Scale requires scoring of a greater number of aspects of
neurological function, and it takes more than 10 minutes to complete
the assessment. Also, because of the complexity of the NIH Stroke
Scale, it is more likely to have missing items. Because of its
additional assessment of a greater number of aspects of neurological
function, in many cases such as aphasic patients the NIH Stroke Scale
was not able to be used in 5 patients, resulting in incomplete
evaluation of the patients. Conversely, all data items were ascertained
for all stroke patients when the Orpington Prognostic Scale was
used.
One limitation of our study is that the majority of our stroke subjects
have mild to moderate stroke. By design, our study cohort did not have
equal representation of severe strokes. Only 7% of our
patients had an NIH Stroke Scale score of greater than 13, and 12% of
the same cohort was categorized as major stroke by the Orpington
Prognostic Scale. Therefore, the generalizability of the predictive
value of the Orpington Prognostic Scale and the NIH Stroke Scale in
this study may be limited to mild and moderate strokes.
In summary, clinicians and researchers who want to predict functional
outcomes should select measures that are simple and do not require
intense resources or training. Our results demonstrate that in a sample
of mostly mild and moderate strokes, the Orpington Prognostic Scale
compared with the NIH Stroke Scale is simpler to use and is a slightly
better predictor of ADL and higher levels of physical function.
Received April 2, 1998;
revision received May 29, 1998;
accepted June 10, 1998.
2.
Cote R, Hachinski VC. The Canadian Neurological Scale.
In: Candelise L, ed. Stroke Scores and Scales. J Cerebrovasc
Dis. 1992;2:239247.
3.
De Haan R, Limburg M. The Relationship between
impairment and functional health scales in the outcome of stroke.
Cerebrovasc Dis. 1994;4(suppl 2):1923.
4.
Cote R, Hachinski VC, Shurvell BL, Norris JW, Wolfson
C. The Canadian Neurological Scale: a preliminary study in acute
stroke. Stroke. 1986;17:731737.
5.
Brott T, Adams HP Jr, Olinger CP, Marler JR, Barsan
WG, Biller J, Spilker J, Holleran R, Eberle R, Hertzberg V.
Measurements of acute cerebral infarction: a clinical examination
scale. Stroke. 1989;20:864870.
6.
Olinger CP, Adams HP, Brott TG, Biller J, Barsan WG,
Toffol GJ, Eberle RW, Marler JR. High-dose intravenous
naloxone for the treatment of acute ischemic stroke.
Stroke. 1990;21:721725.
7.
Brott TG, Haley EC Jr, Levy DE, Barsan W, Broderick J,
Sheppard GL, Spilker J, Kongable GL, Massey S, Reed R. Urgent therapy
for stroke, I: pilot study of tissue plasminogen
activator administered within 90 minutes.
Stroke. 1992;23:632640.
8.
Haley EC Jr, Levy DE, Brott TG, Sheppard GL, Wong MC,
Kongable GL, Torner JC, Marler JR. Urgent therapy for stroke, II: pilot
study of tissue plasminogen activator
administered 91180 minutes from onset. Stroke. 1992;23:641645.
9.
Muir KW, Weir CJ, Murray GD, Povey C, Lees KR.
Comparison of neurological scales and scoring systems for acute stroke
prognosis. Stroke. 1996;27:18171820.
10.
Kalra L, Crome P. The role of prognostic scores in
targeting stroke rehabilitation in elderly patients. J Am
Geriatr Soc. 1993;41:396400.[Medline]
[Order article via Infotrieve]
11.
Prescott RJ, Garraway WM, Akhtar AJ. Predicting
functional outcome following acute stroke using a standard clinical
examination. Stroke. 1982;13:641647.
12.
Wade DT, Collin C. The Barthel ADL Index: a standard
measure of physical disability? Int Disabil Stud. 1988;10:6467.[Medline]
[Order article via Infotrieve]
13.
Ware J. SF-36 Health Survey: Manual and
Interpretation Guide. Boston, Mass: Nimrod Press; 1993.
14.
World Health Organization. Proposal for the
multinational monitoring of trends and determinants in
cardiovascular disease (MONICA Project).
WHO/MNC/82.1 Rev. 1. 1983.
15.
Asher HB. Causal Modeling. 2nd edition.
Beverly Hills, Calif: Sage; 1988.
17.
Glass TA, Matchar DB, Belyea M, Feussner JR. Impact of
social support on outcome in first stroke. Stroke. 1993;24:6470.
16.
Rundek T, Chen X, Hartmann A, Gan R, Mast H, Sacco RL.
Stroke syndrome as a predictor of nursing home placement: The Northern
Manhattan Stroke Study. Stroke. 1998;29:321. Abstract.
18.
Colantonio A, Kasl SV, Ostfeld AM, Berkman LF.
Psychosocial predictors of stroke outcomes in an elderly population.
J Gerontol. 1993;48:261268.
19.
Berkman LF, Berkman CS, Kasl S, Freeman DH Jr, Leo L,
Ostfeld AM, Cornoni Huntley J, Brody JA. Depressive symptoms in
relation to physical health and functioning in the elderly.
Am J Epidemiol. 1986;124:372388.
20.
Taub NA, Wolfe CD, Richardson E, Burney PG. Predicting
the disability of first-time stroke sufferers at 1 year: 12-month
follow-up of a population-based cohort in southeast England.
Stroke. 1994;25:352357.[Abstract]
21.
Goldstein L, Duncan P. Disparity between disability and
motor recovery after stroke. Proceedings of the 1996 North American
Stroke Meeting; Denver. Abstract.
© 1998 American Heart Association, Inc.
Original Contributions
Prediction of Functional Outcome After Stroke
Comparison of the Orpington Prognostic Scale and the NIH Stroke Scale
![]()
Abstract
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
Background and PurposeThis study
compared the ability of 2 stroke impairment scales, Orpington
Prognostic Scale and National Institutes of Health (NIH) Stroke Scale,
to predict disability as measured by the Barthel activities of
daily living (ADL) Index and higher level of self-reported physical
functioning as measured by the SF-36 physical functioning index (PFI)
at 1, 3, and 6 months after stroke.
Key Words: activities of daily living impairment physical function stroke
![]()
Introduction
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
Stroke is
heterogeneous in type and severity. To characterize
probabilities of outcomes and plan for discharge, we need a stroke
scale that is able to ascertain the precise nature of stroke-related
impairment and to characterize severity. A good stroke scale identifies
neurological impairments and is quantified so that the patient's
progress can be objectively monitored. It should provide a logical
basis for treatment and predict future functional outcomes. Previous
researchers have demonstrated that impairments are strongly associated
with functional outcomes, but they only partially explain
stroke-related disability.1 2 3 4 Nevertheless, a
baseline stroke impairment scale can be used to assess stroke severity
and to adequately predict functional outcome.
![]()
Subjects and Methods
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
The participants in this study are 184 individuals who sustained
an eligible stroke and were recruited for the Kansas City Stroke Study.
Case ascertainment for the Kansas City Stroke Study started in October
of 1995 and the follow-up effort is ongoing. The eligible study
participants were recruited from any of 12 participating hospitals in
the Greater Kansas City area. Eligible stroke patients were identified
by (1) a review of daily admission records, (2) referrals from
physicians, clinical nurse specialists, and therapists on medical,
neurology, and rehabilitation units, and (3) review of discharge
codes.
). Two items on the
Orpington Prognostic Scale were changed for our purposes, years of the
First World War and name of the Monarch were changed to years of the
Second World War and the name of the President of the United States.
The Orpington Prognostic Scale cognitive items were assessed by the
patient responding verbally to questions asked by the study nurse
and/or physical therapist. In the presence of aphasia or dysarthria,
subjects were given the opportunity to respond in writing or in
response to 3 verbal multiple choices. The score of the Orpington
Prognostic Scale ranges from 1.6 to 6.8, with 1.6 being the best score
and 6.8 being the worst score. Strokes can be further categorized as
minor (Orpington Prognostic Score <3.2), moderate
(3.2
Orpington Prognostic Score
5.2), or major (Orpington
Prognostic Score >5.2). The NIH Stroke Scale 13-item assessment of
neurological function includes level of consciousness, language,
neglect, visual-field loss, extraocular movements, motor strength,
ataxia, dysarthria, and sensory loss. The NIH Stroke Scale has scores
ranging from 0 to 42, with 42 indicating patient is fully impaired. The
Barthel Index includes measures of basic ADL including personal
hygiene, bathing, feeding, toilet, stair climbing, dressing, bowel and
bladder control, ambulation, and bed/chair transfers. Barthel ADL Index
scores range from 0 to 100, with 100 indicating patient is fully
independent in physical functioning. The SF-36 includes 8
domains.12 The present analysis only
included SF-36 PFI, which measures higher level of physical functioning
(vigorous and moderate activities, lifting or carrying groceries,
climbing several flight of stairs, climbing 1 flight of stairs,
bending, kneeling or stooping, walking more than a mile, walking
several blocks, walking 1 block, and bathing or dressing). The score
for the SF-36 PFI ranges from 0 to 100, with 100 indicating patient is
fully independent.
View this table:
[in a new window]
Table 1. Orpington Prognostic
Scale
![]()
Results
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
One hundred and eighty-four subjects enrolled in the Kansas City
Stroke Study were included in the present analysis. All
subjects were community dwelling before their strokes. Subject
demographics and associated stroke characteristics are shown in Table 2
. By the end of the 6
months, 9 patients had died, 12 refused to be in study, 3 were
withdrawn by a family member, 2 moved out of the study area, and 1 was
unable to schedule an appointment because of family problems.
View this table:
[in a new window]
Table 2. Patient Demographics and Stroke Characteristics
(n=184)
. Assessments on
48% of the patients were made during the first week of stroke onset.
Descriptive statistics on scores of Barthel ADL Index and SF-36 PFI
measured at 1 month, 3 months, and 6 months after stroke are shown in
Table 3
. The Orpington
Prognostic Score and the NIH Stroke Scale baseline measures were
correlated (r=0.83, P=0.0001).
View this table:
[in a new window]
Table 3. Functional Outcomes at 1, 3, and 6 Months
Poststroke
summarizes the
results of multiple linear regression analysis for the
Orpington Prognostic Scale and the NIH Stroke Scale. Both the Orpington
Prognostic Scale and the NIH Stroke Scale explained well the variance
in Barthel ADL Index (P<0.001). However, the Orpington
Prognostic Scale explained more variance than did the NIH Stroke Scale
(Table 4
). The amount of variance explained by both measures decreased
over time.
View this table:
[in a new window]
Table 4. Prognostic Ability of the Orpington Prognostic
Scale and the NIH Stroke Scale
. The Orpington Prognostic Score explained more variance in
higher level of physical function than did the NIH Stroke Scale. The
amount of variance explained by both measures decreased over time.
Neither the Orpington Prognostic Score nor the NIH Stroke Scale
explained as much of the variance of higher level physical functioning
as they did for basic ADL.
) The
percentages of variability from the SF-36 PFI at 1 month, explained by
Orpington Prognostic Score, were 34% from balance; 3% from motor
deficit in arm, and 0.4% from cognition. When each domain of the NIH
Stroke Scale was examined, arm strength was shown to contribute the
most in predicting Barthel ADL (48%), followed by leg strength (7%),
level of consciousness (2%), and sensory (1%). The domains and
percentages of variances in SF-36 PFI explained by each corresponding
NIH Stroke Scale domain (Table 5
) were arm strength (27%), leg (2%),
consciousness (1%), language (1%), and vision (1%).
View this table:
[in a new window]
Table 5. Linear Regression Models to Explain Functional
Outcome at 1 Month by Domains of Orpington Prognostic Scale and NIH
Stroke Scale
![]()
Discussion
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
The Orpington Prognostic Scale and the NIH Stroke Scale are
impairment level measures that are strongly correlated. However, the
Orpington Prognostic Scale has a slightly higher predictive ability
compared with that of the NIH Stroke Scale. The Orpington Prognostic
Score explained more of the variance in basic ADL and higher level
physical functions at 1, 3, and 6 months after stroke. When the level
of impairment on the Orpington Prognostic Scale was categorized as
minor, moderate, or major, the predictive ability on functional outcome
remained. The predictive ability of the NIH Stroke Scale with 2
severity levels (NIH score >13 versus NIH score
13) declined,
although this analysis was based on a small number of cases
with NIH score >13 (n=13).
![]()
Acknowledgments
This study was funded by the Department of Veterans Affairs
Rehabilitative Research and Development (E879RC) and Glaxo-Wellcome
Pharmaceuticals. Participating facilities in the greater Kansas City
area include the following: Baptist Hospital, Department of Veterans
Affairs Medical Centers at Kansas City and Leavenworth, Liberty
Hospital, Medical Center of Independence, Mid-American Rehabilitation
Hospital, Rehabilitation Institute, Research Medical Center, St.
Luke's Hospital, St. Joseph Health Center, Trinity Lutheran Hospital,
and University of Kansas Medical Center.
![]()
References
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
1.
De Haan R, Horn J, Limburg M, Van Der Meulen J,
Bossuyt P. A comparison of five stroke scales with measures of
disability, handicap, and quality of life. Stroke. 1993;24:11781181.
This article has been cited by other articles:
![]() |
S. F. Tyson, M. Hanley, J. Chillala, A. B. Selley, and R. C. Tallis Sensory Loss in Hospital-Admitted People With Stroke: Characteristics, Associated Factors, and Relationship With Function Neurorehabil Neural Repair, April 1, 2008; 22(2): 166 - 172. [Abstract] [PDF] |
||||
![]() |
D. S Reisman and J. P Scholz Deficits in Surface Force Production During Seated Reaching in People After Stroke Physical Therapy, March 1, 2007; 87(3): 326 - 336. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. E Harris and J. J Eng Paretic Upper-Limb Strength Best Explains Arm Activity in People With Stroke Physical Therapy, January 1, 2007; 87(1): 88 - 97. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Schenkman, J. E Deutsch, and K. M Gill-Body An Integrated Framework for Decision Making in Neurologic Physical Therapist Practice Physical Therapy, December 1, 2006; 86(12): 1681 - 1702. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. M. Quaney, S. Perera, R. Maletsky, C. W. Luchies, and R. J. Nudo Impaired Grip Force Modulation in the Ipsilesional Hand after Unilateral Middle Cerebral Artery Stroke Neurorehabil Neural Repair, December 1, 2005; 19(4): 338 - 349. [Abstract] [PDF] |
||||
![]() |
T. Koyama, K. Matsumoto, T. Okuno, and K. Domen A new method for predicting functional recovery of stroke patients with hemiplegia: logarithmic modelling Clinical Rehabilitation, July 1, 2005; 19(7): 779 - 789. [Abstract] [PDF] |
||||
![]() |
D. Meldrum, S. J Pittock, O. Hardiman, C. N. Dhuill, M. O'Regan, and J. T Moroney Recovery of the upper limb post ischaemic stroke and the predictive value of the Orpington Prognostic Score Clinical Rehabilitation, June 1, 2004; 18(6): 694 - 702. [Abstract] [PDF] |
||||
![]() |
M. M. Ouellette, N. K. LeBrasseur, J. F. Bean, E. Phillips, J. Stein, W. R. Frontera, and R. A. Fielding High-Intensity Resistance Training Improves Muscle Strength, Self-Reported Function, and Disability in Long-Term Stroke Survivors Stroke, June 1, 2004; 35(6): 1404 - 1409. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Kwon, A. G. Hartzema, P. W. Duncan, and S. Min-Lai Disability Measures in Stroke: Relationship Among the Barthel Index, the Functional Independence Measure, and the Modified Rankin Scale Stroke, April 1, 2004; 35(4): 918 - 923. [Abstract] [Full Text] [PDF] |
||||
![]() |
Performance of a Statistical Model to Predict Stroke Outcome in the Context of a Large, Simple, Randomized, Controlled Trial of Feeding Stroke, January 1, 2003; 34(1): 127 - 133. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. L. Tirschwell, W.T. Longstreth Jr, K. J. Becker, R. E. Gammans Sr, L. A. Sabounjian, S. Hamilton, and L. B. Morgenstern Shortening the NIH Stroke Scale for Use in the Prehospital Setting Stroke, December 1, 2002; 33(12): 2801 - 2806. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. J. Gladstone, S. E. Black, and A. M. Hakim Toward Wisdom From Failure: Lessons From Neuroprotective Stroke Trials and New Therapeutic Directions Stroke, August 1, 2002; 33(8): 2123 - 2136. [Abstract] [Full Text] [PDF] |
||||
![]() |
S.-M. Lai, S. Studenski, P. W. Duncan, and S. Perera Persisting Consequences of Stroke Measured by the Stroke Impact Scale Stroke, July 1, 2002; 33(7): 1840 - 1844. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. W. Duncan, D. Wallace, S. M. Lai, D. Johnson, S. Embretson, and L. J. Laster The Stroke Impact Scale Version 2.0 : Evaluation of Reliability, Validity, and Sensitivity to Change Stroke, October 1, 1999; 30 (10): 2131k - 2140. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Shafqat, J. C. Kvedar, M. M. Guanci, Y. Chang, and L. H. Schwamm Role for Telemedicine in Acute Stroke : Feasibility and Reliability of Remote Administration of the NIH Stroke Scale Stroke, October 1, 1999; 30(10): 2141 - 2145. [Abstract] [Full Text] [PDF] |
||||
![]() |
S.-M. Lai and P. W. Duncan Evaluation of the American Heart Association Stroke Outcome Classification Stroke, September 1, 1999; 30(9): 1840 - 1843. [Abstract] [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Stroke Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 1998 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |