Supplemental Digital Content is available in the text.
Keywords: activities of daily living, prognosis, propensity score, risk, stroke
Abstract
Background and Purpose—
Intravenous thrombolysis with alteplase is one of the few approved treatments for acute ischemic stroke; nevertheless, little is known about its long-term effects on survival and recovery because clinical trials follow-up times are limited.
Methods—
Patients registered between January 2005 and December 2015, to the population-based South London Stroke Register of first-ever strokes. Propensity score was used to match thrombolyzed and control cases to a 1:2 ratio by demographical and clinical covariates. The primary outcome was survival up to 10 years using Kaplan–Meier estimates, Cox proportional hazards, and restricted mean survival time. Secondary outcomes included stroke recurrence and functional status (Barthel Index and Frenchay Activities Index scores) at 5 years.
Results—
From 2052 ischemic strokes, 246 treated patients were matched to 492 controls. Median follow-up time 5.45 years (interquartile range, 4.56). Survival was higher in the treatment group (median, 5.72 years) compared with control group (4.98 years, stratified log-rank test <0.001). The number needed to treat to prevent 1 death at 5 years was 12 and 20 at 10 years. After Cox regression analysis, thrombolysis reduced risk of mortality by 37% (hazard ratio, 0.63; 95% confidence interval [CI], 0.48–0.82) at 10 years; however, after introducing a multiplicative interaction term into the model, mortality risk reduction was 42% (hazard ratio, 0.58; 95% CI, 0.40–0.82) at 10 years for those arriving within 3 hours to the hospital. On average, in a 10-year period, treated patients lived 1 year longer than controls. At 5 years, thrombolysis was associated with independence (Barthel Index≥90; odds ratio, 3.76; 95% CI, 1.22–13.34) and increased odds of a higher Frenchay Activities Index (proportional odds ratio, 2.37; 95% CI, 1.16–4.91). There was no difference in stroke recurrence.
Conclusions—
Thrombolysis with intravenous alteplase is associated with improved long-term survival and functional status after ischemic stroke.
Evidence from randomized controlled trials and meta-analysis shows improved functional outcomes for acute ischemic stroke patients receiving intravenous tissue thrombolysis with the recombinant tissue-type plasminogen activator alteplase.1–3 However, it is still unclear whether intravenous thrombolysis has any effect on mortality, particularly in the long-term. This has led to some concerns of whether the early risks associated with thrombolysis (eg, intracranial hemorrhage) translate into better prognosis over time.4 Furthermore, most of the studies that have examined differences in outcomes between groups have had a limited follow-up time (5–17). Currently, information available about effects on survival after intravenous thrombolysis come from 2 randomized clinical trials and 3 observational studies.5–9 The National Institute of Neurological Disorders and Stroke Recombinant Tissue Plasminogen Activator Stroke Study assessed mortality at 12 months, without finding any significant difference between the 2 study arms.5 More recently, a study using participants from the IST-3 (Third International Stroke Trial) found a small reduction in 3-year mortality in the treatment arm which was nonsignificant for all study subjects but only for those who survived the first week.6 However, the IST-3 trial randomized patients who did not meet current eligibility criteria for intravenous thrombolysis with alteplase in standard practice (ie, patients after 4.5 hours from stroke onset). Three observational studies have examined long-term outcomes of intravenous alteplase; however, 27,8 are limited by the lack of a comparison group. The third study,9 and the only other propensity score-matched study on intravenous alteplase found a 34% decrease in mortality for treated stroke patients in Denmark. However, this study had a limited median follow-up of 1.4 years and did not examine differences in activities of daily living between groups.
In this study, we use a propensity score-matched cohort study design to determine whether thrombolysis with intravenous alteplase, as given in standard daily clinical practice in the United Kingdom,10 improves long-term survival up to 10 years after an acute ischemic stroke. Propensity score methods are tools for the analysis of observational studies that allow reducing the effect of the confounding that can occur because differences in the distribution of baseline characteristics and allow to replicate the measures of effect commonly reported in randomized clinical trials.11 As secondary outcomes, we examine whether the benefits in functional status, as assessed by the Barthel Index (BI) and Frenchay Activities Index (FAI), persist at 5 years after a stroke, as well as if stroke recurrence is affected by intravenous alteplase.
Methods
The data that support the findings of this study are available from the corresponding author on reasonable request.
Study Design
The South London Stroke Register (SLSR) is an ongoing, prospective, population-based, stroke register. The SLSR started in January 1995 and documents all first-ever confirmed strokes (according to the World Health Organization Criteria12) in patients of all ages for an inner area of South London that includes 22 electoral wards in the Boroughs of Lambeth and Southwark.13 The total source population of the SLSR area is 357 308 inhabitants, as estimated in the 2011 census and comprises a distinctly multiethnic population with a significant proportion of black Caribbean and African residents.14
Case Ascertainment
All patients with a suspected diagnosis of first-ever stroke documented from hospital- and community-based sources were investigated for study eligibility.12 Completeness of case ascertainment has been estimated at 88% by a multinomial logit capture-recapture model using the methods described elsewhere.15 A more thorough discussion of the methods used to maximize completeness of case ascertainment is available elsewhere.12,16
Data Collection
Specially trained study nurses and field workers collected all data prospectively. Patients were examined within 48 hours of referral to SLSR when possible.12 A study stroke physician verified the diagnosis of stroke and classified the cases according to the modified TOAST (Trial of ORG 10172 in Acute Stroke Treatment)17 and the Oxfordshire Community Stroke Project subtype.18 The Oxfordshire Community Stroke Project subtype, which was used to calculate the propensity score, consists of 4 defined subgroups total anterior circulation infarcts, partial anterior circulation infarcts, lacunar infarcts, and posterior circulation infarcts.
Age at stroke was calculated as the difference between the date of birth and date of symptoms onset; ethnicity was self-reported by the patient and then collated into 1 of the 3 main categories according to the UK 2001 census (White, Black, and Other).13
Vascular risk factors before stroke (self-reported and from medical notes) were collected, including smoking, hypertension, diabetes mellitus, atrial fibrillation, ischemic heart disease (angina pectoris or myocardial infarction), peripheral vascular disease, and history of transient ischemic attack. Information on thrombolysis was collected from medical charts from 2005 onwards. The window for thrombolysis with intravenous alteplase was up to 3 hours after symptoms’ onset at the start of the study period and then extended up to 4.5 hours from 2009 onwards.
The BI19 was used to assess functional status previous to stroke as well as at each follow-up visit. A cutoff of BI≥90 was used to reflect functional independence.20 The National Institutes of Health Stroke Scale (NIHSS) score was used to assess stroke severity21 during the acute phase. The degree of neurological deficit was classified according to the total NIHSS score as follows minor (NIHSS, 1–4), moderate (5–15), moderate-severe (16–20), and severe (≥21). The FAI is a frequently used measurement of Extended Activities of Daily Living in stroke and was assessed by trained fieldworker during follow-up visits.22 Follow-up visits were performed at 3 months, 1 year, and annually thereafter. Survival was ascertained by follow-up, which included contacting next of kin if the participant was unreachable, and by checking with the office of National Statistics. Because the registration of deaths in the United Kingdom is complete, all patients with no death record at the day of censoring were assumed to be alive.
Study Population
The study included patients recruited into the SLSR from 2005 to 2015, inclusive. Survival time was censored at the December 31, 2015. All patients receiving intravenous thrombolysis with complete data for matching variables (see below) were included in the analysis. None of the participants in this study were treated with intra-arterial thrombolysis or mechanical clot retrieval.
Ethical Approval
The study was approved by the ethics committees of Guy’s and St Thomas’ Hospital Trust, King’s College Hospital, Queen’s Square, and Westminster Hospital. Informed consent from patients or assent from next of kin was obtained for all participants for their inclusion into the South London Stroke Register.
Propensity Score Matching
Propensity scores were calculated for each patient based on a multivariable logistic regression model. This model included demographic variables (age, sex, and ethnicity), prestroke number of vascular risk factors, functional status previous to stroke (BI), stroke severity (NIHSS), stroke Oxfordshire Community Stroke Project subtype,23 and year of stroke. Figure I in the online-only Data Supplement shows the substantial overlap in propensity score distributions between both groups; this suggests a large area of common support for the eligible participants. We matched treated participants with controls in a 1:2 ratio using a greedy nearest neighbor method.24 Figure 1 presents the flowchart of participant selection and propensity score-matched set construction. The overall quality of the matched sample was assessed by comparing the standardized difference of means and the ratio of the variances between the propensity scores of both groups as well as by graphically inspecting the propensity scores between groups. Furthermore, we evaluated the balance between individual covariates between groups in the matched sample.
Figure 1.

Data attrition flowchart.
Statistical Analysis
Descriptive data are expressed in percentages, mean±SD or median and interquartile range (IQR) as appropriate. The primary outcome of this study was survival up to 10 years after the date of first-ever acute ischemic stroke; we report Kaplan–Meier survival estimates and the difference between survival curves tested using the log-rank test stratified to matched sets. We obtained the adjusted hazard ratio (HR) from a Cox regression model of proportional hazards with robust variance estimator. The Cox model was developed by iteratively adding clinical relevant variables to a model including only treatment arm (ie, treated or control) regressed by the propensity score, and used a log-likelihood test to evaluate whether the addition of the new predictor improved the fit of the previous model. To examine whether onset-to-arrival time modified the effect of alteplase, we then tested if a multiplicative interaction term between treatment with alteplase and arrival within 3 hours further improved the fit our model. Because we expected, based on the reviewed literature,6 that the proportionality of the hazards assumption would be violated, we further assessed survival time after stroke by comparing the restricted mean survival time (RMST) between groups. We then adjusted the RMST for the same covariates used in the Cox model with an analysis of covariance.25 A similar method was used to examine the difference in stroke recurrence between groups. Independence at 5-year BI (≥90) and FAI scores at 5-year follow-up were compared between groups and adjusted for age, sex, ethnicity, prestroke BI, acute phase NIHSS, and stroke subtype by performing multiple regression analysis. We conducted a sensitivity analysis with multiple imputation to examine how robust our results were to missing data. All analyses were performed using R26 version 3.2.2 (2015) on R-Studio27 version 1.0.136.
Results
A total of 2052 patients with their first-ever ischemic stroke were recruited between the January 1, 2005 and the December 31, 2015; 285 (13.9%) of these patients received intravenous thrombolysis with alteplase. From the total recruited, 334 (16.3%) had missing data for at least 1 of the variables used to calculate the propensity score and thus had to be excluded. Of the 1718 remaining subjects, we paired 246 treated patients with 492 controls (Figure 1). None of these patients received intra-arterial thrombolysis or underwent thrombectomy. Measures of balance diagnosis28 indicated that the sample was adequately matched, with a standardized difference of the means of propensity scores between groups of 0.14 (good balance<0.25) and a ratio of variances of propensity scores of 1.27 (good balance between 0.5–2). A comparison of the baseline characteristics further supports the good balance of our matched sample (Table 1; Table I in the online-only Data Supplement).
Table 1.
Baseline Characteristics

The median follow-up time was 5.45 years (IQR=4.56; range, 0–10 years), and a total of 344 (46.6%) patients died during the study period.
Primary Outcome: Survival up to 10 Years
The Kaplan–Meier estimate shows a higher survival for patients treated with intravenous alteplase than for those in the control group at 5 and 10 years (Figure 2; log-rank test stratified by sets <0.001 for both). The median survival time for the treated group was 5.72 and 4.98 years for the control group. The absolute risk reduction at 5 years was 8.33% (95% confidence interval [CI], 8.19–8.47; number needed to treat, 12) and 5.07% (95% CI, 4.92–5.22) at 10 years (number needed to treat, 20).
Figure 2.

Survival curves for intravenous alteplase treated group (darker) and control group (lighter) groups. Median follow-up time 5.45 years. Median survival for treated group 5.72 years. Median survival for control group 4.98 years. Stratified log-rank test: P<0.001.
The unadjusted HR shows a 19% (HR, 0.81; 95% CI, 0.70–0.92) and 28% (HR, 0.72; 95% CI, 0.57–0.91) decrease in mortality risk for the treated group at 5 and 10 years, respectively. After adjusting for age, prestroke BI, prestroke use of anticoagulants, NIHSS during the acute phase, and poststroke treatment with antiplatelets, thrombolysis with intravenous alteplase was associated with a 28% (HR, 0.72; 95% CI, 0.60–0.87) decrease in mortality at 5 years and 37% (HR, 0.63; 95% CI, 0.48–0.82) at 10 years (Table II in the online-only Data Supplement). After including a multiplicative interaction term between thrombolysis with intravenous alteplase and arrival to the hospital within 3 hours, mortality reduction for those treated earlier was 32% (HR, 0.67; 95% CI, 0.52–0.88) at 5 years and 42% (HR, 0.58; 95% CI, 0.40–0.82) at 10 years (Table 2; Figure II in the online-only Data Supplement).
Table 2.
Multivariable Cox Regression on Survival Including Interaction Term

Visual and formal testing revealed hazards to be nonproportional (P<0.0001) for the whole duration of the follow-up. To account for this, we calculated the RMST for each group. Patients receiving intravenous alteplase had an RMST of 6.06 years, whereas the control group RMST was 5.18 years. The estimated difference in RMST between groups was 0.88 years (95% CI, 0.18–1.59; P=0.015) over a 10-year follow-up period. After adjustment for the same covariates used in the Cox proportional hazards model, the estimated difference between RMST was 1.04 years (95% CI, 0.17–1.91; P=0.02).
Secondary Outcomes: Functional Status at 5 Years
Thrombolysis with intravenous alteplase was associated with improved functional status. After adjusting for age, sex, ethnicity, prestroke BI, acute phase NIHSS, and stroke subtype, treatment was significantly associated with independence (BI≥90) at discharge (odds ratio, 2.01; 95% CI, 1.27–3.20) and at 5 years (odds ratio, 3.76; 95% CI, 1.22–13.34). Intravenous alteplase was also associated with increased odds of higher FAI score (proportional odds ratio, 2.37; 95% CI, 1.16–4.91) at 5 years. There was no difference in stroke recurrence between groups.
Discussion
Key Findings
In this study, which to our knowledge has the longest median follow-up time in the published literature, we found evidence in a real-world setting of reduced mortality after thrombolysis with intravenous alteplase. Our findings show that on average, and over a 10-year period, a patient treated with thrombolysis lives around 1 year longer than a similar nonthrombolyzed patient after adjustment for age, sex, prestroke BI, prestroke treatment with anticoagulants, acute phase NIHSS score, and poststroke treatment with antiplatelets. Our data shows that the number needed to treat to prevent 1 death in 5 years is equal to 12 patients and 20 to prevent 1 death at 10 years. These results complement and expand on previous data reported by the Danish Stroke Register9 and the subanalysis of the IST-3 trial6 by demonstrating that the benefits of thrombolysis in survival are appreciable even after a period as long as 10 years poststroke and the improved functional outcomes are still perceivable at 5 years. Furthermore, our findings also suggest that the observed benefit in survival is seemingly driven by older patients and those with NIHSS≥16 (moderate-severe and severe strokes; Figure 3).
Figure 3.

Forest plot showing the point estimates incidence rate ratio (IRR) with their respective CI for mortality per 100 person-year stratified by age and National Institutes of Health Stroke Scale (NIHSS) group. Median (interquartile range) NIHSS<16 group was 7 (5); NIHSS≥16 group was 21 (6). CI indicates confidence interval.
Compared with the Danish nationwide register study,9 our study had a slightly older mean age (treated, controls; SLSR, 68.0, 69.4 versus Danish Register, 65.8, 66.5) a significantly longer median follow-up time (5.45 versus 1.4 years), and consequently a higher proportion of deaths (46.6% compared with 14.7%). Furthermore, our study included a higher proportion of moderate (48.4%, 56.7% versus 33.8%, 33.9%) and severe strokes (16.7%, 15.2% versus 7.7%, 7.9%), a comparable proportion of moderate-severe strokes (17.5%, 12.2% versus 14.9%, 15.0%) and significantly fewer minor strokes (17.5%, 15.9% versus 41.4%, 41.5%) according to the scale used by each study (NIHSS versus Scandinavian Stroke Scale).The median stroke severity was also slightly higher in our cohort (10, 9 versus 8, 8, converted from Scandinavian Stroke Scale to NIHSS using the formula found elsewhere29). Our population also had a higher prevalence of hypertension (64.2%, 65.7% versus 50.9%, 47.8%), and diabetes mellitus (20.3%, 21.1% versus 9.6%, 12.6%; Table I in the online-only Data Supplement). Additionally, our population was comprised of first-ever strokes only. Despite these differences our adjusted HR for the whole duration of the study, without time to arrival interaction term, are similar (0.63 [95% CI, 0.48–0.82] versus 0.66 [95% CI, 0.49–0.88]) suggesting the benefits from intravenous alteplase are generalizable across populations.
The precise mechanism or mechanisms by which thrombolysis improves survival are unknown, although there is an evidence thrombolysis decreases infarct size30 and reduces the risk of readmissions because of pneumonia,31 although the impact on other factors is still unclear. Nevertheless, previous studies have shown that good functional outcomes in the short term (ie, within 6 months) are associated with improved long-term survival, in part because of fewer complications and more independence.9,32,33 In our cohort, patients in the treatment group had overall better scores in BI and FAI even at 5-years poststroke after adjustment, further suggesting the association between functional status and survival. Furthermore, better BI scores have been strongly associated with quality of life34 which means that the improved survival seen with alteplase is also accompanied by improved quality of life.
Strengths and Weaknesses
The main strengths of this study include a long follow-up time (up to 10 years, median 5.45 year), a per protocol, prospectively collected data set with a wide range of variables that allowed a good balance in baseline variables between groups, an ethnically diverse study population of a well-defined area with a near-complete recording of deaths, achieved by linking with the Office of National Statistics and follow-up by the register fieldworkers. Additionally, we provide the adjusted difference in RMST, a summary statistic which has been shown to better estimate time-to-event than the HR when the proportionality of the hazards assumption is not met.25 Furthermore, the difference in RMST can be straightforwardly interpreted in clinical settings by both the treating physician, the patients and their next of kin. The main limitation of this study lies in its design as an observational rather than experimental study. However, we have used propensity score matching to reduce potential bias and strengthen our reported effect estimates.35 Additionally, we matched every treated patient with a similar control and included the calculated propensity score into the multivariable analysis (double propensity score adjustment), thus reducing as much as possible confounding because of incomplete matching and residual confounding. Another limitation is the effect of missing data in the propensity score matching as well as the analysis. This limitation is common to all studies, particularly those with long follow-up times. Nevertheless, a sensitivity analysis demonstrated that our results were robust to the influence of missing data. Additional limitations include that the SLSR does not collect information about the time of thrombolysis and that the modified Rankin Scale score is not available for follow-ups before 2014. However, although it is not possible for us to calculate the onset-to-treatment time, we have used onset-to-arrival times as a proxy instead; this value is not only correlated with the time from onset to treatment, but also is available for nontreated patients, and thus, it could be fitted into the Cox model. Although we do not have enough data on the modified Rankin Scale score at 5 years, we have used the BI with a threshold of ≥90 to define independence; using this cutoff point has been shown to be comparable to a modified Rankin Scale score of ≤220.
Implications for Clinical Practice
Despite the amount of evidence provided by clinical trials demonstrating that thrombolysis with alteplase improves functional outcomes in ischemic strokes at 1 year, the adoption of thrombolysis has been slow by many centers. Although the reasons for this are multifactorial, including concerns with regards to costs and required experience, one of the main arguments has been the uncertainty on whether the risks associated with thrombolysis indeed result in better outcomes in the long-term. In this study, we have shown that not only patients treated with intravenous alteplase have better BI and FAI scores at 5 years but that they also experience a lower mortality risk, with relatively low numbers needed to treat to prevent a death at 10 years. Furthermore, this study was done using data from a real-world setting from a diverse population, and thus our results are generalizable. These findings should provide much-needed evidence to reassure treating clinicians and patients about the long-term benefits of intravenous thrombolysis therapy with alteplase following currently accepted guidelines.
Acknowledgments
We thank patients, their families, and the fieldworkers who have collected data for the South London Stroke Register since 1995.
Sources of Funding
We would like to acknowledge the support and funding from the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care South London at King’s College Hospital NHS Foundation Trust and the Royal College of Physicians, as well as the support from the NIHR Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London.
Disclosures
None.
Supplementary Material
Footnotes
Presented in part at the European Stroke Organization Conference, Prague, Czech Republic, May 16, 2017.
The online-only Data Supplement is available with this article at http://stroke.ahajournals.org/lookup/suppl/doi:10.1161/STROKEAHA.117.019889/-/DC1.
References
- 1.Albers GW, Clark WM, Madden KP, Hamilton SA. ATLANTIS trial: results for patients treated within 3 hours of stroke onset. Alteplase Thrombolysis for Acute Noninterventional Therapy in Ischemic Stroke. Stroke. 2002;33:493–495. doi: 10.1161/hs0202.102599. [DOI] [PubMed] [Google Scholar]
- 2.Graham GD. Tissue plasminogen activator for acute ischemic stroke in clinical practice: a meta-analysis of safety data. Stroke. 2003;34:2847–2850. doi: 10.1161/01.STR.0000101752.23813.C3. doi: 10.1161/01.STR.0000101752.23813.C3. [DOI] [PubMed] [Google Scholar]
- 3.Lansberg MG, Bluhmki E, Thijs VN. Efficacy and safety of tissue plasminogen activator 3 to 4.5 hours after acute ischemic stroke: a metaanalysis. Stroke. 2009;40:2438–2441. doi: 10.1161/STROKEAHA.109.552547. doi: 10.1161/STROKEAHA.109.552547. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Appelros P. Mortality after thrombolysis. Lancet Neurol. 2016;15:1304–1305. doi: 10.1016/S1474-4422(16)30289-7. doi: 10.1016/S1474-4422(16)30289-7. [DOI] [PubMed] [Google Scholar]
- 5.Kwiatkowski TG, Libman RB, Frankel M, Tilley BC, Morgenstern LB, Lu M, et al. Effects of tissue plasminogen activator for acute ischemic stroke at one year. National Institute of Neurological Disorders and Stroke Recombinant Tissue Plasminogen Activator Stroke Study Group. N Engl J Med. 1999;340:1781–1787. doi: 10.1056/NEJM199906103402302. doi: 10.1056/NEJM199906103402302. [DOI] [PubMed] [Google Scholar]
- 6.Berge E, Cohen G, Roaldsen MB, Lundström E, Isaksson E, Rudberg AS, et al. IST-3 Collaborative Group. Effects of alteplase on survival after ischaemic stroke (IST-3): 3 year follow-up of a randomised, controlled, open-label trial. Lancet Neurol. 2016;15:1028–1034. doi: 10.1016/S1474-4422(16)30139-9. doi: 10.1016/S1474-4422(16)30139-9. [DOI] [PubMed] [Google Scholar]
- 7.Gensicke H, Seiffge DJ, Polasek AE, Peters N, Bonati LH, Lyrer PA, et al. Long-term outcome in stroke patients treated with IV thrombolysis. Neurology. 2013;80:919–925. doi: 10.1212/WNL.0b013e3182840c35. doi: 10.1212/WNL.0b013e3182840c35. [DOI] [PubMed] [Google Scholar]
- 8.Machado C, Pinho J, Alves JN, Santos AF, Ferreira Mdo C, Abreu MJ, et al. Five-year outcome in stroke patients submitted to thrombolysis. Stroke. 2015;46:2312–2314. doi: 10.1161/STROKEAHA.115.009842. doi: 10.1161/STROKEAHA.115.009842. [DOI] [PubMed] [Google Scholar]
- 9.Schmitz ML, Simonsen CZ, Hundborg H, Christensen H, Ellemann K, Geisler K, et al. Acute ischemic stroke and long-term outcome after thrombolysis: nationwide propensity score-matched follow-up study. Stroke. 2014;45:3070–3072. doi: 10.1161/STROKEAHA.114.006570. doi: 10.1161/STROKEAHA.114.006570. [DOI] [PubMed] [Google Scholar]
- 10.National Institute for Health and Care Excellence. Stroke and Transient Ischaemic Attack in Over 16s: Diagnosis and Initial Management. https://www.nice.org.uk/guidance/cg68. Accessed September 22, 2017. [PubMed]
- 11.Austin PC. The use of propensity score methods with survival or time-to-event outcomes: reporting measures of effect similar to those used in randomized experiments. Stat Med. 2014;33:1242–1258. doi: 10.1002/sim.5984. doi: 10.1002/sim.5984. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Heuschmann PU, Grieve AP, Toschke AM, Rudd AG, Wolfe CD. Ethnic group disparities in 10-year trends in stroke incidence and vascular risk factors: the South London Stroke Register (SLSR). Stroke. 2008;39:2204–2210. doi: 10.1161/STROKEAHA.107.507285. doi: 10.1161/STROKEAHA.107.507285. [DOI] [PubMed] [Google Scholar]
- 13.Wolfe CD, Crichton SL, Heuschmann PU, McKevitt CJ, Toschke AM, Grieve AP, et al. Estimates of outcomes up to ten years after stroke: analysis from the prospective South London Stroke Register. PLoS Med. 2011;8:e1001033. doi: 10.1371/journal.pmed.1001033. doi: 10.1371/journal.pmed.1001033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Office for National Statistics. 2011 Census. https://www.ons.gov.uk/census/2011census. Accessed September 20, 2017.
- 15.Tilling K, Sterne JA, Wolfe CD. Estimation of the incidence of stroke using a capture-recapture model including covariates. Int J Epidemiol. 2001;30:1351–1359; discussion 1359. doi: 10.1093/ije/30.6.1351. [DOI] [PubMed] [Google Scholar]
- 16.Douiri A, McKevitt C, Emmett ES, Rudd AG, Wolfe CD. Long-term effects of secondary prevention on cognitive function in stroke patients. Circulation. 2013;128:1341–1348. doi: 10.1161/CIRCULATIONAHA.113.002236. doi: 10.1161/CIRCULATIONAHA.113.002236. [DOI] [PubMed] [Google Scholar]
- 17.Adams HP, Jr, Bendixen BH, Kappelle LJ, Biller J, Love BB, Gordon DL, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment. Stroke. 1993;24:35–41. doi: 10.1161/01.str.24.1.35. [DOI] [PubMed] [Google Scholar]
- 18.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. doi: 10.1016/0140-6736(91)93206-o. [DOI] [PubMed] [Google Scholar]
- 19.Wade DT, Collin C. The Barthel ADL Index: a standard measure of physical disability? Int Disabil Stud. 1988;10:64–67. doi: 10.3109/09638288809164105. [DOI] [PubMed] [Google Scholar]
- 20.Uyttenboogaart M, Stewart RE, Vroomen PC, De Keyser J, Luijckx GJ. Optimizing cutoff scores for the Barthel index and the modified Rankin scale for defining outcome in acute stroke trials. Stroke. 2005;36:1984–1987. doi: 10.1161/01.STR.0000177872.87960.61. doi: 10.1161/01.STR.0000177872.87960.61. [DOI] [PubMed] [Google Scholar]
- 21.Lyden P, Lu M, Jackson C, Marler J, Kothari R, Brott T, et al. Underlying structure of the National Institutes of Health Stroke Scale: results of a factor analysis. NINDS tPA Stroke Trial Investigators. Stroke. 1999;30:2347–2354. doi: 10.1161/01.str.30.11.2347. [DOI] [PubMed] [Google Scholar]
- 22.Sarker SJ, Rudd AG, Douiri A, Wolfe CD. Comparison of 2 extended activities of daily living scales with the Barthel Index and predictors of their outcomes: cohort study within the South London Stroke Register (SLSR). Stroke. 2012;43:1362–1369. doi: 10.1161/STROKEAHA.111.645234. doi: 10.1161/STROKEAHA.111.645234. [DOI] [PubMed] [Google Scholar]
- 23.Amarenco P, Bogousslavsky J, Caplan LR, Donnan GA, Hennerici MG. Classification of stroke subtypes. Cerebrovasc Dis. 2009;27:493–501. doi: 10.1159/000210432. doi: 10.1159/000210432. [DOI] [PubMed] [Google Scholar]
- 24.Ho DE. Matchit: nonparametric preprocessing for parametric causal inference. J Stat Softw. 2011;42:28. [Google Scholar]
- 25.Royston P, Parmar MK. Restricted mean survival time: an alternative to the hazard ratio for the design and analysis of randomized trials with a time-to-event outcome. BMC Med Res Methodol. 2013;13:152. doi: 10.1186/1471-2288-13-152. doi: 10.1186/1471-2288-13-152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.R Core Team. R: A Language and Environment for Statistical Computing: Version 3.2.2. Vienna, Austria: R foundation for statistical computing; 2015. [Google Scholar]
- 27.RStudio Team. Rstudio: Integrated Development for R: Version 1.0.136. Boston, MA: RStudio, Inc; 2015. [Google Scholar]
- 28.Stuart EA. Matching methods for causal inference: a review and a look forward. Stat Sci. 2010;25:1–21. doi: 10.1214/09-STS313. doi: 10.1214/09-STS313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Gray LJ, Ali M, Lyden PD, Bath PM Virtual International Stroke Trials Archive Collaboration. Interconversion of the National Institutes of Health Stroke Scale and Scandinavian Stroke Scale in acute stroke. J Stroke Cerebrovasc Dis. 2009;18:466–468. doi: 10.1016/j.jstrokecerebrovasdis.2009.02.003. doi: 10.1016/j.jstrokecerebrovasdis.2009.02.003. [DOI] [PubMed] [Google Scholar]
- 30.Simpkins AN, Dias C, Norato G, Kim E, Leigh R NIH Natural History of Stroke Investigators. Early change in stroke size performs best in predicting response to therapy. Cerebrovasc Dis. 2017;44:141–149. doi: 10.1159/000477945. doi: 10.1159/000477945. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Terkelsen T, Schmitz ML, Simonsen CZ, Hundborg HH, Christensen HK, Gyllenborg J, et al. Thrombolysis in acute ischemic stroke is associated with lower long-term hospital bed day use: a nationwide propensity score-matched follow-up study. Int J Stroke. 2016;11:910–916. doi: 10.1177/1747493016654491. doi: 10.1177/1747493016654491. [DOI] [PubMed] [Google Scholar]
- 32.Slot KB, Berge E, Dorman P, Lewis S, Dennis M, Sandercock P. Impact of functional status at six months on long term survival in patients with ischaemic stroke: prospective cohort studies. BMJ (Clinical research ed.) 2008;336:376–379. doi: 10.1136/bmj.39456.688333.BE. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Magalhães R, Abreu P, Correia M, Whiteley W, Silva MC, Sandercock P. Functional status three months after the first ischemic stroke is associated with long-term outcome: data from a community-based cohort. Cerebrovasc Dis. 2014;38:46–54. doi: 10.1159/000364938. doi: 10.1159/000364938. [DOI] [PubMed] [Google Scholar]
- 34.Haghgoo HA, Pazuki ES, Hosseini AS, Rassafiani M. Depression, activities of daily living and quality of life in patients with stroke. J Neurol Sci. 2013;328:87–91. doi: 10.1016/j.jns.2013.02.027. doi: 10.1016/j.jns.2013.02.027. [DOI] [PubMed] [Google Scholar]
- 35.Lee J, Little TD. A practical guide to propensity score analysis for applied clinical research. Behav Res Ther. 2017;98:76–90. doi: 10.1016/j.brat.2017.01.005. doi: 10.1016/j.brat.2017.01.005. [DOI] [PubMed] [Google Scholar]
