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(Stroke. 1999;30:2313-2319.)
© 1999 American Heart Association, Inc.
Original Contributions |
Stroke in the Very Old
Clinical Presentation and Determinants of 3-Month Functional Outcome: A European Perspective
From the National Research Council of Italy (CNR-CSFET), Italian Longitudinal Study on Aging, Florence, Italy (A. Di C); Department of Neurological and Psychiatric Sciences, University of Florence (Italy) (M.L., G.P., A.M.B., G.T., P.V., D.I.); Department of Public Health Sciences, The Guy's, Kings College, and St Thomas' Hospital Medical and Dental School, Guy's Campus, London, England (C.D.A.W., K.T.); and Department of Social Medicine, Bristol University (England) (S.E.).
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Abstract |
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Background and Purpose—The oldest old represent the fastest-growing segment of the elderly population in developed countries. Knowledge of age-specific aspects of stroke is essential to establish diagnostic and therapeutic pathways and to set up prevention and rehabilitation programs. We sought to evaluate stroke features and functional outcome in patients aged
80 years compared
with the younger age groups. Methods—In a European Union Concerted Action involving 7 countries, 4499 patients hospitalized for first-in-a-lifetime stroke were evaluated for demographics, risk factors, clinical presentation, resource use, and 3-month disability (Barthel Index) and handicap (Rankin Scale).
Results—Overall, 3141 patients (69.8%) were aged <80
years, and 1358 (30.2%) were aged 80 years. At baseline, female sex,
prestroke institutionalization, and a worse prestroke Rankin score were
significantly more frequent in the older patients, as were coma,
paralysis, swallowing problems, and urinary incontinence in the acute
phase (all P values <0.001). Brain imaging and other
diagnostic tools were significantly less used in the older
patients. Paralysis, swallowing problems, and incontinence during
hospitalization independently predicted 3-month disability or handicap
in both groups. For the older patients, prestroke institutionalization
proved a further strong and independent determinant of 3-month
disability (odds ratio, 2.33; 95% CI, 1.22 to 4.45) and handicap (odds
ratio, 7.04; 95% CI, 1.62 to 30.69).
Conclusions—In the very old, both medical and sociodemographic factors may significantly influence stroke outcome, showing peculiar characteristics. Knowledge of these determinants may reduce the burden on health systems, improving quality of care.
Key Words: disability evaluation • elderly • stroke outcome
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Introduction |
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Cost-effective approaches to the assessment and management of patients with stroke require accurate data on specific mechanisms and outcomes of the disease in different age groups. This information appears essential to establish appropriate in-hospital diagnostic and therapeutic pathways and to set up prevention and rehabilitation programs able to reduce the burden of the disease. Age independently influences stroke outcome,1 and well-organized management of elderly stroke patients has been associated with improvement in both clinical outcome and resource use.2
Given the strong relationship of stroke with advanced age,3 4 5 the burden of stroke-related disability is expected to increase together with life expectancy.6 The decline in stroke mortality achieved in the past few decades, only in part explained by improved control of risk factors and more effective therapeutic interventions, may result in a longer period of disability before death,7 8 with huge costs for individuals and society overall.9 10
Since the oldest old represent the fastest-growing
segment of the elderly population in developed countries11
and, in proportion, the major consumers of healthcare resources, the
availability of accurate data on specific characteristics of stroke in
this age group is of relevance for planning healthcare systems and for
allocation of resources. The objective of the present study is to
examine differences in demographics, risk factors, clinical
presentation, resource use, and 3-month outcome in stroke
patients aged 80 years compared with the younger age group in a large
sample of patients hospitalized for acute stroke in several European
countries.
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Subjects and Methods |
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A European Union BIOMED Concerted Action was initiated to establish the relationships between resource use, costs, and outcome of packages of care for stroke in Europe. The specific objectives have been outlined previously.12 13 The study involved 12 centers (22 hospitals) in 7 European countries: England, France, Germany, Hungary, Italy, Portugal, and Spain. The hospitals were chosen because they contained staff interested in stroke research and with the ability of providing the resources necessary for the data collection. All the hospitals provide general acute care to the local population; most are community hospitals, serving up to 150 000 inhabitants, and overall they cover urban, suburban, and rural areas. Some centers, located in the United Kingdom, Germany, and Hungary, are teaching hospitals. One UK center has a stroke rehabilitation ward, and the centers in France, Germany, Hungary, and Italy have acute stroke-monitoring facilities. Patient-based data collection began in the majority of the centers in September 1993 and related to all first-ever stroke admissions for the subsequent year. Informed consent was given according to institutional guidelines. Stroke was defined according to the World Health Organization.14 The study variables were chosen after an initial workshop of the study participants, all involved in stroke research and in the establishment of stroke registers,15 16 and were in accord with those used by the MONICA (Monitoring Trends and Determinants in Cardiovascular Disease) Stroke Study.17
Stroke-specific data questionnaires were developed, and information was
gathered by dedicated data collectors in each center. Patients were
evaluated in the acute phase and 3 months after stroke. The complete
description of all the study variables is given in detail
elsewhere.13 Those germane to this article include the
following: (1) baseline characteristics: age, sex, living
conditions (living at home or in institution), drug usage before stroke
(antihypertensive, antiplatelet, and anticoagulant therapy), and
prestroke level of handicap, as defined by the modified Rankin
Scale18 ; (2) vascular risk factors and comorbid
conditions: hypertension (previous diagnosis, current treatment, or
values >160/95 mm Hg on at least 2 subsequent measurements);
atrial fibrillation (history of chronic atrial fibrillation, confirmed
by at least 1 ECG, or presence of the arrhythmia during
hospitalization); previous myocardial infarction; transient
ischemic attack (acute neurological deficit of vascular origin,
lasting <24 hours); diabetes mellitus (previous diagnosis or
concurrent treatment with insulin or oral hypoglycemic medications, or
fasting glucose level of 7.8 mmol/L [140 mg/dL]); smoking
(current or former practice); and alcohol consumption; (3) clinical
state at time of maximum impairment within the first 7 days: level of
consciousness, subsequently dichotomized into 2 categories of coma or
noncoma19 ; confusion during the first week after stroke;
presence and site of weakness or paralysis; speech or swallowing
problems as a result of stroke; and urinary incontinence; (4) use of
major diagnostic tests (brain imaging, angiography,
Doppler sonography, echocardiogram) or therapeutic interventions
(neurosurgery, carotid surgery, other vascular surgery); amount of
inpatient rehabilitation (formal therapy session performed by trained
therapist: physiotherapy, occupational and speech therapy); and (5)
destination from acute hospital: home, rehabilitation hospital, or
institution.
Pathological subtypes of stroke were defined as cerebral infarction, cerebral hemorrhage, subarachnoid hemorrhage, or unclassifiable stroke according to the presence and results of brain imaging. Clinical subtypes of ischemic stroke were rated according to the Oxfordshire Community Stroke Project criteria as total anterior circulation infarct (TACI), partial anterior circulation infarct (PACI), posterior circulation infarct (POCI), and lacunar infarct (LACI).20
Outcome data were collected 3 months after the stroke onset. They included information on vital status, ability in performing activities of daily living as defined by the Barthel Index,21 and handicap according to the Rankin Scale. The assessment was usually made through a direct or proxy face-to-face interview, except at 1 UK center, where follow-up was made by a previously validated postal questionnaire. Additional information was obtained from case notes and other routine hospital and general practice sources. In case of death, date and cause were registered by gathering the information from relatives or general practitioners.
To minimize the variability across centers and between the different observers, a manual was produced containing the definitions of each data item. The study team visited each center to oversee data collection. Issues regarding collection, interpretation, and quality of data were discussed at site visits and at 6 monthly meetings of the study group.
Statistical Analysis
Analysis of differences in the frequency of categorical
variables was performed with the 
2 test.
Student's t test for independent samples was used for the
continuous variables. To assess disability and handicap, we used
the Barthel Index and the Rankin Scale, which consist of categories
forming an ordinal scale in which the intervals among points are not
necessarily equal. We therefore decided not to analyze them as
continuous variables. The other options were to use
nonparametric tests or to categorize patients into 2
groups, dichotomizing the scales, and expressing results as odds ratios
(OR) estimated by logistic regression analysis. This procedure
has been considered the most appropriate in a previous report
evaluating the validity of statistical methods used to analyze
stroke outcome.22 Consequently, the Barthel Index and
the Rankin Scale were evaluated, at univariate
analysis, by the Mann-Whitney nonparametric test,
while logistic regression analysis, with the forward stepwise
method for selection of variables, was used to identify, among
baseline and clinical variables, the best independent predictors of
3-month disability and 3-month handicap. We controlled for age and sex
in the first model and for age, sex, and prestroke level of handicap in
the second model. By dichotomizing both scales, we were able to better
estimate the net effect of the predictive variables on the
transition from total, or nearly total, independence to limitation in
daily functioning. The selected categories were 0 to 14, 15 to 20 for
the Barthel Index and 0 to 1, 2 to 5 for the Rankin Scale. All
statistical levels quoted (P values) are 2-tailed. The 95%
CIs were calculated to describe the precision of the estimates. Data
were analyzed with SPSS (release 6.1.3) statistical
software.23
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Results |
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During the 12-month study period, 4534 consecutive patients with first-in-a-lifetime stroke were registered in the participating hospitals, and 4499 (50.2% females; mean age, 71.8±12.6 years; range, 13.7 to 102.1 years) completed the data set. Overall, 3141 patients (69.8%; 42.9% females) were aged <80 years (mean age, 66.2±10.6 years; range, 13.7 to 79.9), and 1358 (30.2%; 66.9% females) were aged
80 years (mean age, 85.0±3.7 years; range, 80.0 to 102.1).
Compared with the younger age group, the older patients were more often
female and more often lived in an institution before stroke. They
showed higher level of handicap, as defined by prestroke Rankin Scale,
and a higher frequency of atrial fibrillation, history of transient
ischemic attack, and antiplatelet therapy. History of
hypertension, diabetes, current or previous smoking, and alcohol
consumption were significantly more frequent in the younger age group
(Table 1
).
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Table 2 reports the clinical state at
time of maximum impairment and in-hospital use of
diagnostic facilities and surgical procedures. Clinical
conditions were more severely compromised in the older patients, who,
at the neurological evaluation, were more often confused or in a coma.
These patients presented with paralysis, language deficits,
swallowing problems, and urinary incontinence more frequently than the
younger patients. The use of investigation was far less frequent among
the older patients for all the resources considered: brain imaging,
Doppler examination, echocardiogram, and angiography. Surgical
interventions were also performed more frequently in the younger
patients, with a significant difference for neurosurgery and carotid
surgery.
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Table 3 shows that a definition of
pathological subtype was obtained significantly more often in the
younger patients. This was mostly explained by the lower proportion of
brain imaging performed in the older patients (66.9% versus 87.7%;
P<0.001), with a subsequent higher number of pathologically
unclassified stroke in this age group (41.3% versus 20.8%;
P<0.001). A definition of clinical subtype following the
Oxfordshire Community Stroke Project classification was achieved in
2472 (90.2%) of the 2740 events defined as ischemic strokes.
TACI and PACI were significantly more frequent in the older subjects,
while POCI was more common in the younger age group. The frequency of
LACI was similar in the 2 groups.
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No major differences were observed in the percent of older patients receiving physiotherapy (63.7% versus 65.2%; P=0.374), speech therapy (24.1% versus 23.1%; P=0.505), and occupational therapy (21.4% versus 24.6%; P=0.053). However, the younger patients received significantly more speech therapy (9.9±10.0 versus 8.3±9.8; P=0.045) and occupational therapy (11.8±11.5 versus 9.1±10.5; P=0.004) sessions. The difference in the mean number of physiotherapy sessions was not significant (14.0±14.2 in younger patients versus 13.0±13.1; P=0.097).
The 28-day case-fatality rate was 20.8% in the older versus 10.0% in the younger patients (P<0.001). The in-hospital mortality was 22.8% in the older patients versus 10.1% in the younger (P<0.001). Hospital stay was significantly longer in the older than in the younger group (24.7±27.6 versus 22.3±24.2 days; P=0.013). Older patients were less often discharged home (55.8% versus 74.5%; P<0.001) and significantly more often referred to an institution after the discharge (13.3% versus 4.1%; P<0.001). No significant difference was detected between the 2 groups in the proportion moved to a rehabilitation hospital (9.8% of the older versus 8.5% of the younger patients; P=0.208). Fifteen percent of patients were discharged to other or unspecified destinations.
Follow-up information was completed for 3534 patients (78.6% of the
total study sample; 50.1% females; 68.6% aged <80 years). Followed
patients represented 81.8% of those aged 80 years and
77.1% of patients in the younger age group. At 3 months, 44.6% of the
older patients were dead versus 21.1% of those in the younger group
(P<0.001). In the survivors, mean scores for the Barthel
Index were 12.5±6.9 in the older group versus 16.7±5.0 in the younger
group (P<0.001; Mann-Whitney test), and the respective
values for the Rankin Scale were 3.1±1.6 versus 2.2±1.4
(P<0.001; Mann-Whitney test).
Table 4 reports the results of the age-
and sex-adjusted logistic regression analysis for predictors of
3-month disability (Barthel Index <15) in the overall study sample and
in the 2 age groups evaluated separately. When all the study patients
were considered, significant predictors of 3-month disability were
paralysis, swallowing problems, and urinary incontinence among the
variables related to the clinical status in the acute phase.
History of hypertension showed a protective effect. When the 2 age
groups were examined separately, atrial fibrillation and diabetes were
positive predictors of 3-month disability among the younger patients,
while for the older ones prestroke institutionalization was the most
significant baseline predictor of disability (OR, 2.33; 95% CI, 1.22
to 4.45). Paralysis, swallowing problems, and urinary incontinence in
the acute phase were significantly related to disability in both
groups. History of hypertension in the younger group showed a
protective effect.
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Similar results were obtained when handicap was evaluated as measured
by the Rankin Scale. Table 5 reports the
results of logistic regression analysis of predictors of
3-month handicap (Rankin score >1) in the overall study sample and in
the 2 age groups, controlling for the effect of age, sex, and prestroke
Rankin score. When the entire sample was considered, prestroke
institutionalization, history of myocardial infarction, and diabetes
were significant and independent predictors of 3-month handicap. Among
clinical variables, paralysis, swallowing problems, aphasia, and
urinary incontinence were significantly related to the presence of
handicap 3 months after stroke. In this analysis, history of
hypertension also showed a protective effect. History of myocardial
infarction and diabetes were significant predictors of 3-month handicap
among the younger patients. In the older group, prestroke
institutionalization was again confirmed as the best baseline predictor
of handicap (OR, 7.04; 95% CI, 1.62 to 30.69). Paralysis and urinary
incontinence in the acute phase were significant predictors of handicap
in both age groups. Only in the younger patients were aphasia and
swallowing problems in the acute phase positively associated with
handicap, and a previous diagnosis of hypertension confirmed a
protective effect.
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Discussion |
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TopAbstractIntroductionSubjects and MethodsResultsDiscussionAppendixReferences |
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The main purpose of this study was to evaluate prestroke risk factors, clinical presentation, use of diagnostic tools and rehabilitation, and determinants of outcome in very old subjects (
80 years), using as source of data a
large sample of elderly stroke patients hospitalized in a European
context. In the comparison with younger (<80 years) patients, there
were significant differences in baseline living conditions, risk factor
profile, and stroke severity at onset and during
hospitalization. No major differences were found in the use of
in-hospital rehabilitation services, but diagnostic tools
were used rather sparingly in the older patients. In terms of outcome,
advanced age was associated with a higher 28-day case-fatality rate,
higher in-hospital and 3-month mortality, and a longer in-hospital
stay. Older patients were more likely to be discharged to an
institution than home and were more disabled and more severely
handicapped as assessed at 3 months after stroke. In both age groups,
disability or handicap was mainly predicted by selective clinical
features of the acute phase, such as paralysis, swallowing problems,
and urinary incontinence, which are well known as ominous predictors of
functional outcome. For the older patients, prestroke
institutionalization proved a further strong independent determinant of
poststroke disability and handicap. Our results come from a multicenter collaborative study examining patients admitted for stroke in several hospitals throughout many European countries, and this might have reduced the homogeneity of our data set. Published data from this Concerted Action showed that differences exist among the participating centers, according to demographic characteristics, length of in-hospital stay, packages of care, and destination at discharge.13 24 For instance, mean age ranged from 65.0±12.5 years in Hungary to 75.2±11.2 years in the United Kingdom. The percentage of females varied between 45.1% in France and 53.5% in the United Kingdom. The proportion of patients receiving brain imaging was 64.2% in Hungary and 96.7% in France. Patients discharged home were 49.4% of the total sample in the United Kingdom and 80.8% in Portugal.
However, when we analyzed the single variables separately for each country, the major findings of the present study, for the 2 age groups, were essentially confirmed. Female sex was significantly overrepresented in each country in the older age group. In all the states, older patients showed higher rates of prestroke institutionalization (difference with younger patients was significant in the United Kingdom, France, Germany, Italy, and Portugal) and higher level of handicap before stroke (difference significant in all countries except Hungary). Paralysis, swallowing problems, and urinary incontinence in the acute phase were more frequent in the older patients in all countries. Differences were always significant apart from paralysis in France and Hungary and swallowing problems in Hungary. Brain imaging was significantly less frequently performed in older patients in all the states. Older patients were less often discharged home in every country except Spain, where figures in the 2 age groups were similar, while difference with younger patients was significant in the United Kingdom, France, Germany, and Italy. The addition of country to the multivariate models analyzing the predictors of functional outcome did not alter the findings for the entire sample and for both the age groups considered.
The participating hospitals contained physicians and researchers with an interest in stroke and might be considered not necessarily representative of their country. However, since 22 units in 12 centers in 7 European states were included, with urban and rural population coverage and predictable variations of services between hospitals, we believe that overall our study may reflect the types of stroke care practiced in western and central Europe. To increase the homogeneity of data collection, a manual was provided to each research unit, and frequent meetings were organized to discuss and standardize data collection, both in the preparation phase and throughout the study progression. In the meantime, this type of data set has the advantages of including a wide range of premorbid, clinical, and service use variables and of providing adequate numbers of patients in the age groups considered, allowing statistically meaningful results. The problem of a reduced sample size is common in studies focusing on stroke in patients of advanced age. Previous surveys evaluating the influence of age on stroke outcome were based on study samples encompassing between 300 and 500 patients,1 25 26 and most included <200 patients.27 28 29
Our rate of patients lost to follow-up (21.4%) is similar to those previously reported in studies on stroke outcome.25 30 The chance of being lost to follow-up was higher among younger than older patients (mean age, 72.6±12.1 years in followed versus 69.2±13.8 in lost patients; P<0.001) and in those without major neurological deficits after stroke such as coma or paralysis. This may have affected the precision of our estimates, but probably not enough to determine a distortion in the trends of differences observed between the 2 age groups.
The distribution of baseline variables confirms epidemiological data on the relative frequency of stroke-related risk factors and comorbid conditions selectively detectable at advanced age. Atrial fibrillation is well established to be an age-related pathological condition,31 and therefore the fact that it was significantly more frequent among our older stroke patients is not surprising, while major vascular risk factors, such as hypertension, smoking, and diabetes, were more common in the younger patients.
Age, and not stroke severity, seemed to be a major discriminating factor for the use of diagnostic resources. Despite more severely compromised clinical conditions, in the older patients brain imaging, Doppler examination, echocardiogram, and angiography were performed significantly less often. The limited investigation, and hence intervention, received by older patients might contribute to their worse prognosis. Whether different investigations and associated interventions influence outcome in older stroke patients will be the subject of future analyses. The high rate of unclassifiable strokes, a consequence of the reduced use of brain imaging in the elderly patients, was a major limitation for drawing inferences from the relative frequency of stroke subtypes. When the analysis was limited to patients with clearly defined ischemic stroke, TACI and PACI, known as the clinical syndromes with a more severe prognosis,20 were significantly more frequent in the elderly patients. The effect of age on acute and short-term mortality is consistent with previous reports.26 32
Disability indicates any restriction or lack resulting from an impairment of ability to perform an activity in the manner or within the range considered normal for a human being, while handicap is related to the disadvantage resulting from an impairment or a disability that limits or prevents the fulfillment of a role that is normal (depending on age, sex, and social and cultural factors) for a given individual.33 To assess disability and handicap, we used the Barthel Index and the Rankin Scale, which are reliable and widely used tools to evaluate outcome in stroke patients.34 The predictive effect of motor symptoms and urinary incontinence on disability and handicap was evident in both the age groups and consistent with previously reported data on clinical features of the acute phase predicting disability in stroke survivors.35 36 37 38 Prestroke institutionalization proved a determinant of 3 months' disability and handicap only in the older patients. Its effect was independent of prestroke level of handicap and of variables expressing the severity of the stroke event. Since rehabilitation referral and treatment were not significantly different between younger and older patients, other factors, such as comorbidity, are likely to explain the effect of previous institutionalization on the 3-month outcome.
Both medical and social factors are recognized as increasing the risk of being institutionalized.39 40 In particular, it has been shown that frailty, defined as a vulnerable state resulting from the balance and interplay of medical and social factors, is strongly associated with institutionalization.41 42 Comorbidity, cognitive impairment, marital status, absence of caregivers, and lack of motivation are all potential contributors to frailty in the elderly.42 43 44 These factors are also well known for reducing effectiveness of rehabilitation and for negatively influencing the recovery after stroke.45 46 47 Since some degree of functional dependence may be induced by institutional care per se, we are cautious in generalizing these results. However, our findings point out the need to pay particular attention to the limited recovery from stroke in institutionalized patients. An extension of the present study is currently evaluating the levels of support available from family members in the different countries and the impact this may have on outcome, demands of, and expectations from healthcare services.
In conclusion, our data relate to >4000 hospital admissions for stroke across 22 hospitals in 7 European countries, with complete follow-up information available for approximately 79% of the study sample. We cannot completely exclude that the probability of being missed at follow-up might depend on the actual outcome, and this may limit the precision of our estimates. Our findings suggest a complex interplay of sociodemographic factors, preexisting frailty, and stroke severity in determining the outcome in elderly patients. While other interventions may require a long-term perspective, the achievement of a diagnostic accuracy similar to that reached in younger patients and aimed at a better definition of pathogenic features, together with particular attention to the acute-phase predictors of functional outcome, seem affordable objectives, with possible positive consequences on general management and prognosis. When the impact of stroke in terms of disability and resource use in an aging population is considered, accurate information on stroke patterns in the very old may improve the overall quality and cost-effectiveness of stroke care in Europe.
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Appendix |
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Study Participants
O. Tofani, A. Rosselli, F. Cordopatri, G. Giuntoli, M. Magherini, P. Pennati, S. Tatini, F.Trucco, E. Pieragnoli, F. Manetti, C. Mugnaini, L. Bagnoli, O. Marrazza, G.P. Menegazzo, I. Meucci, G. Landini, A. Ghetti, Ospedale S.M. Annunziata, Health Area 10, Florence, Italy; C. Cappelletti, M.C. Baruffi, S. Spolveri, M. Ricca, P. Adriani, C. Bianco, Nuovo Ospedale S. Giovanni di Dio, Health Area 10, Florence, Italy; R. Beech, Department of Public Health Sciences, The Guy's, Kings College, and St Thomas' Hospital Medical and Dental School, Guy's Campus, London, England; A.G. Rudd, Department of Care of the Elderly, St Thomas' Hospital, London, England; D.H. Barer, Y. Ellul, Department of Medicine for the Elderly, Newcastle General Hospital (England); M. Ayana, P. Gompertz, R. Harwood, P. Pound, Department of Primary Care and Population Sciences, Royal Free Hospital School of Medicine, London, England; H. Rogers, Center for Health Service Research, University of Newcastle (England); M. Giroud, M. Menassa, M. Lemesle, Service de Neurologie, Center Hospitalier Regional et Universitaire de Dijon (France); K. Kunze, Neurologischen Universitatsklinik, Hamburg-Eppendorf, Germany; J. Berger, Institute of Mathematics and Computer Science in Medicine, University Hospital Eppendorf (Germany); B. Haussler, W. Mall, H. Nolting, Institut fur Gesundheits und Sozialforschung GmbH (IGES), Berlin, Germany; Z. Nagy, C. Ovary, Z. Vokoq, National Stroke Center, Budapest, Hungary; M. Carrageta, J. Namora, I. Remidios, A. Santos, J. Coisinha, Hospital Garcia de Orta, Almada, Portugal; J. Dias, Divisao de Epidemiologia, Direccao Geral de Saude, Lisboa, Portugal; A. Arias, P. Casquero, S. Montserrat, M. Torrent, Direccion Provincial INSALUD, Gabinete de Estudios, Palma de Mallorca, Spain.
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Acknowledgments |
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This study was supported by the European Union BIOMED I Program. The authors thank M.E. Della Santa for her support in preparing the manuscript.
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Footnotes |
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Reprints requests to Professor Domenico Inzitari, Department of Neurological and Psychiatric Sciences, University of Florence, Viale Morgagni 85, 50134 Florence, Italy.
Received June 14, 1999; revision received August 2, 1999; accepted August 2, 1999.
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References |
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|
TopAbstractIntroductionSubjects and MethodsResultsDiscussionAppendixReferences |
|---|
1. Nakayama H, Jørgensen HS, Raaschou HO, Olsen TS. The influence of age on stroke outcome: the Copenhagen Stroke Study. Stroke.. 1994;25:808–813.[Abstract]
2.
Kaste M, Palomäki H, Sarna S. Where and how
should elderly stroke patients be treated? A randomized trial.
Stroke. 1995;26:249–253.
3.
Bamford J, Sandercock P, Dennis M, Warlow C, Jones L,
McPherson K, Vessey M, Fowler G, Molyneux A, Hughes T, Burn J, Wade D.
A prospective study of acute cerebrovascular disease in the community:
the Oxfordshire Community Stroke Project 1981–86, I: methodology,
demography and incident cases of first-ever stroke. J Neurol
Neurosurg Psychiatry. 1988;51:1373–1380.
4.
Mittelmark MB, Psaty BM, Rautaharju PM, Fried LP,
Borhani NO, Tracy RP, Gardin JM, O'Leary DH, for the
Cardiovascular Health Study Collaborative Research
Group. Prevalence of cardiovascular diseases among
older adults: the Cardiovascular Health Study.
Am J Epidemiol.. 1993;137:311–317.
5.
Bonita R, Solomon N, Broad JB. Prevalence of stroke
and stroke-related disability: estimates from the Auckland Stroke
Studies. Stroke. 1997;28:1898–1902.
6. Murray CJL, Lopez AD. Alternative projections of mortality and disability by cause 1990–2020: Global Burden of Disease Study. Lancet. 1997;349:1498–1504.[Medline] [Order article via Infotrieve]
7.
Wade DT, Langton Hewer R. Functional abilities after
stroke: measurement, natural history and prognosis. J Neurol
Neurosurg Psychiatry. 1987;50:177–182.
8. Dobkin B. The economic impact of stroke. Neurology. 1995;45(suppl 1):S6–S9.
9.
Taylor TN, Davis PH, Torner JC, Holmes J, Meyer JW,
Jacobson MF. Lifetime cost of stroke in the United States.
Stroke. 1996;27:1459–1466.
10.
Evers SMAA, Engel GL, Ament AJHA. Cost of stroke in the
Netherlands from a societal perspective. Stroke. 1997;28:1375–1381.
11. The World Bank. World Development Report 1993. New York, NY: Oxford University Press; 1993.
12. Wolfe CDA, Beech R, Ratcliffe M, Rudd AG. Stroke care in Europe: can we learn lessons from the different ways stroke is managed in different countries? J R Soc Health. 1995;115:143–147.[Medline] [Order article via Infotrieve]
13.
Beech R, Ratcliffe M, Tilling K, Wolfe C, for the
European Study of Stroke Care: hospital services for stroke care: a
European perspective. Stroke. 1996;27:1958–1964.
14. Hatano S. Experience from a multicentre stroke register: a preliminary report. Bull WHO. 1976;54:541–553.[Medline] [Order article via Infotrieve]
15.
Wolfe CD, Taub NA, Woodrow J, Richardson E, Warburton
FG, Burney PG. Does the incidence, severity, or case fatality of stroke
vary in southern England? J Epidemiol Community Health. 1993;47:139–143.
16.
Giroud M, Milan C, Beuriat P, Gras P, Essayagh E,
Arveux P, Dumas R. Incidence and survival rates during a two-year
period of intracerebral and subarachnoid
haemorrhages, cortical infarcts, lacunes and transient
ischaemic attacks: the Stroke Registry of Dijon: 1985–1989. Int
J Epidemiol.. 1991;20:892–899.
17.
Thorvaldsen P, Asplund K, Kuulasmaa K, Rajakangas AM,
Schroll M, for the WHO MONICA Project. Stroke incidence, case
fatality, and mortality in the WHO MONICA Project.
Stroke. 1995;26:361–367.
18. Rankin J. Cerebral vascular accidents in patients over the age of 60, II: prognosis. Scott Med J. 1957;2:200–215.[Medline] [Order article via Infotrieve]
19. Teasdale G, Jennett B. Assessment of coma and impaired consciousness: a practical scale. Lancet. 1974;2:81–84.[Medline] [Order article via Infotrieve]
20. Bamford J, Sandercock P, Dennis M, Burn J, Warlow C. Classification and natural history of clinically identifiable subtypes of cerebral infarction. Lancet. 1991;337:1521–1526.[Medline] [Order article via Infotrieve]
21. Mahoney FI, Barthel DW. Functional evaluation: the Barthel Index. Md State Med J. 1965;14:61–65.[Medline] [Order article via Infotrieve]
22.
Roberts L, Counsell C. Assessment of clinical outcomes
in acute stroke trials. Stroke. 1998;29:986–991.
23. Norusis MJ. SPSS for Windows: Base System User's Guide and Advanced Statistics. Release 6.0. Chicago, Ill: SPSS Inc; 1993.
24.
Wolfe CD, Tilling K, Beech R, Rudd AG, for the European
BIOMED Study of Stroke Care Group. Variations in case fatality and
dependency from stroke in western and central Europe.
Stroke. 1999;30:350–356.
25.
Pohjasvaara T, Erkinjuntti T, Vataja R, Kaste M.
Comparison of stroke features and disability in daily life in patients
with ischemic stroke aged 55 to 70 and 71 to 85 years.
Stroke. 1997;28:729–735.
26. Sharma JC, Fletcher S, Vassallo M. Strokes in the elderly: higher acute and 3-month mortality: an explanation. Cerebrovasc Dis. 1999;9:2–9.
27. Adler MK, Brown CC Jr, Acton P. Stroke rehabilitation: is age a determinant? J Am Geriatr Soc. 1980;28:499–503.[Medline] [Order article via Infotrieve]
28.
Wade DT, Langton-Hewer R, Wood VA. Stroke: the
influence of age upon outcome. Age Ageing. 1984;13:357–362.
29. Hertanu JS, Demopoulos JT, Yang WC, Calhoun WF, Fenigstein HA. Stroke rehabilitation: correlation and prognostic value of computerized tomography and sequential functional assessments. Arch Phys Med Rehabil. 1984;65:505–508.[Medline] [Order article via Infotrieve]
30.
Tatemichi TK, Desmond DW, Mayeux R, Paik M, Stern Y,
Sano M, Remien RH, Williams JB, Mohr JP, Hauser WA, Figueroa M.
Dementia after stroke: baseline frequency, risks, and clinical features
in a hospitalized cohort. Neurology. 1992;42:1185–1193.
31.
Wolf PA, Abbott RD, Kannel WB. Atrial fibrillation: a
major contributor to stroke in the elderly: the Framingham Study.
Arch Intern Med.. 1987;147:1561–1564.
32. Bonita R, Broad JB, Beaglehole R. Changes in stroke incidence and case-fatality in Auckland, New Zealand, 1981–91. Lancet. 1993;342:1470–1473.[Medline] [Order article via Infotrieve]
33. World Health Organization. International Classification of Impairments, Disabilities, and Handicaps. Geneva, Switzerland: World Health Organization; 1980.
34.
D'Olhaberriague L, Litvan I, Mitsias P, Mansbach HH. A
reappraisal of reliability and validity studies in stroke.
Stroke. 1996;27:2331–2336.
35.
Kotila M, Waltimo O, Niemi ML, Laaksonen R, Lempinen M.
The profile of recovery from stroke and factors influencing outcome.
Stroke. 1984;15:1039–1044.
36. 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;25:352–357.[Abstract]
37.
Kwakkel G, Wagenaar RC, Kollen BJ, Lankhorst GJ.
Predicting disability in stroke: a critical review of the literature.
Age Ageing. 1996;25:479–489.
38.
Brittain KR, Peet SM, Castleden CM. Stroke and
incontinence. Stroke. 1998;29:524–528.
39. Wingard DL, Jones DW, Kaplan RM. Institutional care utilization by the elderly: a critical review. Gerontologist. 1987;27:156–163.[Medline] [Order article via Infotrieve]
40. Manton KG, Vertrees JC, Clark RF. A multivariate analysis of disability and health, and its change over time in the National Channeling Demonstration data. Gerontologist. 1993;33:610–618.[Abstract]
41. Rockwood K, Fox RA, Stolee P, Robertson D, Beattie BL. Frailty in elderly people: an evolving concept. Can Med Assoc J. 1994;150:489–495.[Medline] [Order article via Infotrieve]
42. Rockwood K, Stolee P, McDowell I. Factors associated with institutionalization of older people in Canada: testing a multifactorial definition of frailty. J Am Geriatr Soc. 1996;44:578–582.[Medline] [Order article via Infotrieve]
43.
Ford AB, Roy AW, Haug MR, Folmar SJ, Jones PK. Impaired
and disabled elderly in the community. Am J Public
Health. 1991;81:1207–1209.
44. Graham JE, Rockwood K, Beattie BL, Eastwood R, Gauthier S, Tuokko H, McDowell I. Prevalence and severity of cognitive impairment with and without dementia in an elderly population. Lancet. 1997;349:1793–1796.[Medline] [Order article via Infotrieve]
45. Mysiw WJ, Beegan JG, Gatens PF. Prospective cognitive assessment of stroke patients before inpatient rehabilitation: the relationship of the Neurobehavioral Cognitive Status Examination to functional improvement. Am J Phys Med Rehabil. 1989;68:168–171.[Medline] [Order article via Infotrieve]
46. Anderson TP. Studies up to 1980 on stroke rehabilitation outcomes. Stroke. 1990;21(suppl 9):II-43–II-45.
47. Falconer JA, Naughton BJ, Strasser DC, Sinacore JM. Stroke inpatient rehabilitation: a comparison across age groups. J Am Geriatr Soc. 1994;42:39–44.[Medline] [Order article via Infotrieve]
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