Published online before print January 9, 2003, doi: 10.1161/01.STR.0000051506.43212.8B
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
(Stroke. 2003;34:464.)
© 2003 American Heart Association, Inc.
Original Contributions |
Are Some Patients Likely to Benefit From Recombinant Tissue-Type Plasminogen Activator for Acute Ischemic Stroke Even Beyond 3 Hours From Symptom Onset?
From the Division of Clinical Care Research, Tufts-New England Medical Center, Boston, Mass.
Correspondence to David M. Kent, MD, MS, Division of Clinical Care Research, Tufts-New England Medical Center, 750 Washington St, NEMC No. 63, Boston, MA 02111. E-mail dkent1{at}lifespan.org
 |
Abstract |
|---|
 Top Abstract IntroductionMethodsResultsDiscussionReferences |
|---|
Background and Purpose— Recombinant tissue plasminogen activator (rtPA) has been demonstrated to improve outcomes in acute ischemic stroke when delivered within 3 hours of symptom onset. However, the Alteplase Thrombolysis for Acute Noninterventional Therapy in Ischemic Stroke (ATLANTIS B) trial, in which patients were treated mostly between 3 and 5 hours after symptom onset, found no overall benefit from rtPA. We hypothesized that a subgroup of patients at low risk for thrombolysis-related intracranial hemorrhage, identifiable on the basis of pretreatment clinical variables, may benefit even when treated after 3 hours, despite the overall results of the trial.
Methods— Using an independently derived multivariate model that predicts the risk of thrombolysis-related intracranial hemorrhage in patients receiving tPA for acute myocardial infarction (based on 6 easily obtainable clinical characteristics), we stratified patients in the ATLANTIS B trial into low-, intermediate-, and high-risk tertiles. We examined outcomes in the prespecified low-risk subgroup using a global test of significance across 4 outcome scales.
Results— Despite having a similar average baseline stroke severity and median time to treatment (270 minutes), patients in the prespecified low-risk group (n=194) were significantly less likely to have a symptomatic intracranial hemorrhage than other patients in the trial (2.2% versus 9.2%, P=0.03). Although there was no treatment effect for rtPA in the overall trial, a consistent trend favoring rtPA therapy (a 5% to 12% absolute treatment benefit) was found across 4 different stroke scales in the prespecified low-risk group (P=0.10). The treatment-benefit-by-risk interaction was significant (P=0.03).
Conclusions— Use of a multivariate index based on clinical variables is a promising approach to assist in the selection of patients with a favorable risk-benefit profile for thrombolytic therapy beyond 3 hours.
Key Words: intracerebral hemorrhage • risk assessment • stroke, acute • stroke, ischemic • thrombolytic therapy • time factors
|
Introduction |
|---|
|
TopAbstractIntroductionMethodsResultsDiscussionReferences |
|---|
The National Institute of Neurological Disorders and Stroke (NINDS) rt-PA Stroke Study1 demonstrated that recombinant tissue plasminogen activator (rtPA) improves outcomes in acute ischemic stroke when delivered within 3 hours of symptom onset. Yet despite the overall positive outcome, a significant risk of thrombolysis-related intracranial hemorrhage remains. Additionally, the very narrow therapeutic time window of 3 hours, in which the benefits of therapy are felt to outweigh these risks, has severely limited the number of eligible patients because treatment must be preceded by symptom recognition, transport, and clinical and radiological evaluation. Registry data indicate that <2% of patients with acute ischemic stroke currently receive thrombolytic therapy.2
The Alteplase Thrombolysis for Acute Noninterventional Therapy in Ischemic Stroke (ATLANTIS B) trial,3 conducted immediately after the NINDS trial, tested whether rtPA might be beneficial if initiated 3 to 5 hours after symptom onset. This trial found no benefit for rtPA treatment compared with placebo as measured by the primary outcome, the proportion of patients with minimal or no residual symptoms 90 days after stroke. The rate of symptomatic intracranial hemorrhage was significantly higher in the rtPA group (1.1% versus 7.0%, P<0.001).
We reasoned that the lack of overall benefit in patients treated beyond the 3-hour time window may obscure the fact that some carefully selected patients, especially those at lower risk of thrombolysis-related intracranial hemorrhage, might still benefit at these later times. Furthermore, we hypothesized that an independently derived model may be able to identify such patients on the basis of pretreatment clinical characteristics.
|
Methods |
|---|
|
TopAbstractIntroductionMethodsResultsDiscussionReferences |
|---|
To test our hypothesis, we sought an independently derived model that would select patients at low risk of intracranial hemorrhage who may benefit from thrombolytic therapy. Previous modeling on the NINDS database indicated that only stroke severity and the presence of CT scan findings predicted the risk of thrombolysis-related symptomatic intracranial hemorrhage.4 According to this model, only patients with low-severity strokes would be at low risk for intracranial hemorrhage, and such patients have relatively good outcomes whether they receive thrombolytic therapy or not. Patients with higher-severity strokes, on the other hand, who might stand to gain most from therapy would be classified by such a model as at high risk for treatment.
Thus, we sought a model that might indicate a patient’s propensity for intracranial hemorrhage independently of the stroke severity. To do so, we used a model derived from 71 073 patients who received tPA for acute myocardial infarction, of whom 673 experienced a thrombolysis-related intracranial hemorrhage.5 This model uses 6 baseline clinical characteristics (age, sex, race, systolic blood pressure, diastolic blood pressure, and history of prior stroke) to predict a patient’s likelihood of thrombolysis-related intracranial hemorrhage. We hypothesized that patients with a low score on this risk index would be less likely to have a thrombolysis-related intracranial hemorrhage when treated for stroke and may be more likely to benefit from thrombolytics, even when treated after the 3-hour time window.
Based on a prior analysis of the NINDS data suggesting a substantial decrease in the risk of thrombolysis-related intracranial hemorrhage in the low-risk tertile, we stratified patients in the ATLANTIS B trial into low-, medium- and high-risk tertiles. Then we examined the proportion of patients with minimal or no residual deficit in the prespecified low-risk subgroup using a global test6 of significance across 4 outcome scales, adjusting for baseline stroke severity.
|
Results |
|---|
|
TopAbstractIntroductionMethodsResultsDiscussionReferences |
|---|
Patient characteristics of the prespecified low-risk tertile compared with other patients in the trial are shown in Table 1. As expected, the average values for several variables are different between the risk groups, especially those variables that define risk in the model. For example, on average, low-risk patients are younger, are more frequently male, and have lower systolic blood pressure. However, the values for each variable have significant overlap between risk groups. Importantly, there was no difference in baseline stroke severity between risk groups and the median time from symptom onset to therapy was
4.5 hours in both groups.
|
However, despite similarities in these important baseline characteristics, there were differences in the effects of thrombolytic therapy between risk strata. The risk of intracranial hemorrhage in the thrombolytic-treated low-risk subgroup was 2.2%; that in the medium- and high-risk groups was 9.3% (P=0.03). These results are shown separately for both the treatment and control groups in Table 2. Additionally, there was a significant treatment-benefit-by-risk-score interaction (P=0.03) when the proportion of patients with minimal or no residual deficit were used as the outcome, and the global test for significance indicated a consistent trend across the 4 stroke scales toward greater treatment benefit for low-risk compared with high-risk patients.
|
These outcomes for both the overall trial and the prespecified low-risk group are shown in the Figure. The range of absolute treatment benefit seen across scales in the overall trial was -1% to 1%, indicating that any benefit of thrombolysis was completely offset by the harm of thrombolysis. However, in the prespecified low-risk subgroup, a consistent trend favoring rtPA therapy (a 5% to 12% absolute treatment benefit) was found across all stroke scales (P=0.10).
|
|
Discussion |
|---|
|
TopAbstractIntroductionMethodsResultsDiscussionReferences |
|---|
Our results demonstrate that a subgroup of patients with acute ischemic stroke, identifiable on the basis of easily obtainable pretreatment clinical characteristics, may be likely to benefit from rtPA therapy even when treated >3 hours after symptom onset. Because this trial was not powered to find treatment effects in patient subgroups, the benefit found among the 195 patients classified as low risk did not reach statistical significance. However, the observed effect is potentially clinically significant so that, assuming a true treatment effect of the observed magnitude, a properly powered clinical trial would require only
500 patients7 (required sample size=506 using the following parameters: 
=0.05, ß=0.80, probability of a good outcome in control group=0.42 [range across 4 outcomes, 0.30 to 0.59], probability of a good outcome in treatment group=0.50 [range across 4 outcomes, 0.39 to 0.64], correlation parameter=0.7 [range across different outcome pairs, 0.50 to 0.87], and cluster size=4). However, there are several reasons to expect that this model can be substantially improved. First, it was derived from patients who received thrombolytic therapy for acute myocardial infarction, not acute ischemic stroke. The precise relationship of risk variables, even those not directly related to stroke severity, may differ somewhat between the 2 populations. Second, the model includes only variables that predict the major risk of therapy and does not include variables that might otherwise affect the treatment benefit of thrombolytics independently of intracranial hemorrhage risk. Careful risk and benefit profiling, through the use of models developed from a large database of patients treated and not treated with rtPA for acute ischemic stroke (eg, by combining the databases of several clinical trials), would presumably considerably improve patient selection and consequently increase the degree of benefit seen in the low-risk/high-benefit subgroup. This preliminary model provides strong "proof of concept" for such an approach.
Extending the time window for thrombolytic therapy, even for only a portion of patients, could substantially increase the number of stroke patients eligible for rtPA. In the European Cooperative Acute Stroke Studies 1 and 2 in which >1400 patients were randomized to rtPA or placebo treatment within a 0- to 6-hour time window, only 15% and 21%, respectively, were treated before 3 hours, even under trial conditions.8,9 Assuming this distribution of symptom onset to treatment times, the number of thrombolysis-eligible patients would be expected to double even if only 25% of patients treated between 3 and 6 hours met the low-risk/high-benefit criteria.
Currently, for the vast majority of patients arriving beyond the 3-hour time window, no reperfusion therapy is available. Local, intra-arterial thrombolytic therapy for patients presenting for treatment in the 3- to 6-hour time window is available at some highly specialized centers. However, because the great majority of stroke patients are treated at community hospitals, the intra-arterial approach is unlikely to become available for most stroke patients. Similarly, patient selection for intravenous thrombolytic therapy using perfusion- and diffusion-weighted MRI is being done at a few specialized centers,10 but the efficacy of this approach has not been demonstrated in randomized trials, and it, like intra-arterial thrombolysis, is also unlikely to become widely available in the near future. A patient selection model that incorporates simple, easily obtainable clinical variables in combination can potentially be used by any emergency room physician in any community hospital.
When therapies have both significant risks and benefits, the average results of a clinical trial may be misleading for some patients in the trial.11 Therapies that demonstrate overall benefit may be useless in many and harmful in some12; conversely, a therapy that shows no overall benefit may provide considerable benefit to many patients. Traditional subgrouping by single clinical variables in isolation may be unlikely to reveal these subgroups with significantly different treatment effects because individual patients have multiple characteristics simultaneously that might influence the outcome of treatment. For thrombolytic therapy in acute ischemic stroke, although time from symptom onset to therapy is critical, other clinical factors also influence the response to therapy and should be taken into account in the design of future clinical trials. Because the opportunity for benefit and harm is so finely balanced in this case, formal risk-benefit profiling with multivariate models may be especially useful.12,13
Our analysis suggests that a subgroup of patients, identifiable from pretreatment information, may receive substantial benefit from rtPA therapy even when treated >3 hours after symptom onset. Models to optimize patient selection should be refined on prior stroke trial databases, and methods of real-time risk scoring should be developed for future clinical trials.
|
Acknowledgments |
|---|
This work was funded by a research grant from Genentech, Inc.
Received June 19, 2002; revision received August 12, 2002; accepted September 4, 2002.
|
References |
|---|
|
TopAbstractIntroductionMethodsResultsDiscussionReferences |
|---|
1. NINDS rt-PA Stroke Study Group. Tissue plasminogen activator for acute ischemic stroke. N Engl J Med. 1995; 333: 1581–1587.
2. Katzan IL, Furlan AJ, Lloyd LE, Frank JI, Harper DL, Hinchey JA, Hammel JP, Qu A, Sila CA. Use of tissue-type plasminogen activator for acute ischemic stroke: the Cleveland area experience. JAMA. 2000; 283: 1151–1158.
3. Clark WM, Wissman S, Albers GW, Jhamandas JH, Madden KP, Hamilton S. Recombinant tissue-type plasminogen activator (alteplase) for ischemic stroke 3 to 5 hours after symptom onset: the ATLANTIS study, a randomized controlled trial: Alteplase Thrombolysis for Acute Noninterventional Therapy in Ischemic Stroke. JAMA. 1999; 282: 2019–2026.
4. Intracerebral hemorrhage after intravenous t-PA therapy for ischemic stroke: the NINDS t-PA Stroke Study Group. Stroke. 1997; 28: 2109–2118.
5. Gurwitz JH. Gore JM. Goldberg RJ. Barron HV. Breen T, Rundle AC. Sloan MA. French W, Rogers WJ. Risk for intracranial hemorrhage after tissue plasminogen activator treatment for acute myocardial infarction. Ann Intern Med. 1998; 129: 597–604.
6. Tilley BC, Marler J, Geller NL, Lu M, Legler J, Brott T, Lyden P, Grotta J. Use of a global test for multiple outcomes in stroke trials with application to the National Institute of Neurological Disorders and Stroke t-PA Stroke Trial. Stroke. 1996; 27: 2136–2142.
7. Pan W. Sample size and power calculations with correlated binary data. Control Clin Trials. 2001; 22: 221–227.
8. Hacke W, Kaste M, Fieschi C, Toni D, Lesaffre E, von Kummer R, Boysen G, Bluhmki E, Höxter G, Mahagne MH, Hennerici M. Intravenous thrombolysis with recombinant tissue plasminogen activator for acute hemispheric stroke: the European Cooperative Acute Stroke Study (ECASS). JAMA. 1995; 274: 1017–1025.
9. Hacke W, Kaste M, Fieschi C, von Kummer R, Davalos A, Meier D, Larrue V, Bluhmki E, Davis S, Donnan G, Scheider D, Diez-Tejedor E, Trouilas P. Randomised double-blind placebo-controlled trial of thrombolytic therapy with intravenous alteplase in acute ischaemic stroke (ECASS II): Second European-Australasian Acute Stroke Study Investigators. Lancet. 1998; 352: 1245–1251.[CrossRef][Medline] [Order article via Infotrieve]
10. Albers GW. Expanding the window for thrombolytic therapy in acute stroke: the potential role of acute MRI for patient selection. Stroke. 1999; 30: 2230–2237.
11. Rothwell P. Can overall results of clinical trials be applied to all patients? Lancet. 1995; 345: 1616–1619.[CrossRef][Medline] [Order article via Infotrieve]
12. Kent DM, Hayward RA, Griffith JL, Vijan S, Beshansky JR, Califf R, Selker HP. An independently derived and validated predictive model for selecting patients with myocardial infarction who are likely to benefit from tissue plasminogen activator compared with streptokinase. Am J Med. 2002; 113: 104–111.[CrossRef][Medline] [Order article via Infotrieve]
13. Rothwell PM, Warlow CP. Prediction of benefit from carotid endarterectomy in individual patients: a risk-modelling study. Lancet. 1999; 353: 2105–2110.[CrossRef][Medline] [Order article via Infotrieve]
This article has been cited by other articles:
 |
|
 |
|
  O. Y. Bang, J. L. Saver, J. R. Alger, S. H. Shah, B. H. Buck, S. Starkman, B. Ovbiagele, D. S. Liebeskind, and for the UCLA MRI Permeability Investigators Patterns and Predictors of Blood-Brain Barrier Permeability Derangements in Acute Ischemic Stroke Stroke, February 1, 2009; 40(2): 454 - 461. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 A. J. Vickers, E. Basch, and M. W. Kattan Against Diagnosis Ann Intern Med, August 5, 2008; 149(3): 200 - 203. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 D. M. Kent and R. A. Hayward Limitations of Applying Summary Results of Clinical Trials to Individual Patients: The Need for Risk Stratification JAMA, September 12, 2007; 298(10): 1209 - 1212. [Full Text] [PDF]
|
|
|
|
|
|
D. M. Kent, H. P. Selker, R. Ruthazer, E. Bluhmki, and W. Hacke Can Multivariable Risk-Benefit Profiling Be Used to Select Treatment-Favorable Patients for Thrombolysis in Stroke in the 3- to 6-Hour Time Window? Stroke, December 1, 2006; 37(12): 2963 - 2969. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
D. M. Kent, H. P. Selker, R. Ruthazer, E. Bluhmki, and W. Hacke The Stroke-Thrombolytic Predictive Instrument: A Predictive Instrument for Intravenous Thrombolysis in Acute Ischemic Stroke Stroke, December 1, 2006; 37(12): 2957 - 2962. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
I. Dzialowski, M. D. Hill, S. B. Coutts, A. M. Demchuk, D. M. Kent, O. Wunderlich, and R. von Kummer Extent of Early Ischemic Changes on Computed Tomography (CT) Before Thrombolysis: Prognostic Value of the Alberta Stroke Program Early CT Score in ECASS II Stroke, April 1, 2006; 37(4): 973 - 978. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. H. Choi, B. T. Bateman, S. Mangla, R. S. Marshall, S. Prabhakaran, J. Chong, J. P. Mohr, H. Mast, and J. Pile-Spellman Endovascular Recanalization Therapy in Acute Ischemic Stroke Stroke, February 1, 2006; 37(2): 419 - 424. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 R. A. Hayward, D. M. Kent, S. Vijan, and T. P. Hofer Reporting Clinical Trial Results To Inform Providers, Payers, And Consumers Health Aff., November 1, 2005; 24(6): 1571 - 1581. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
D. M. Kent, M. D. Hill, R. Ruthazer, S. B. Coutts, A. M. Demchuk, I. Dzialowski, O. Wunderlich, and R. von Kummer "Clinical-CT Mismatch" and the Response to Systemic Thrombolytic Therapy in Acute Ischemic Stroke Stroke, August 1, 2005; 36(8): 1695 - 1699. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 California Acute Stroke Pilot Registry (CASPR) Inv Prioritizing interventions to improve rates of thrombolysis for ischemic stroke Neurology, February 22, 2005; 64(4): 654 - 659. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 J. R. Sims, G. Rordorf, E. E. Smith, W. J. Koroshetz, M. H. Lev, F. Buonanno, and L. H. Schwamm Arterial Occlusion Revealed by CT Angiography Predicts NIH Stroke Score and Acute Outcomes after IV tPA Treatment AJNR Am. J. Neuroradiol., February 1, 2005; 26(2): 246 - 251. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 M. A. Reynolds, H. J. Kirchick, J. R. Dahlen, J. M. Anderberg, P. H. McPherson, K. K. Nakamura, D. T. Laskowitz, G. E. Valkirs, and K. F. Buechler Early Biomarkers of Stroke Clin. Chem., October 1, 2003; 49(10): 1733 - 1739. [Abstract] [Full Text] [PDF]
|
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||