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Original Article

Relationship between acute stroke outcome, aspirin resistance, and humoral factors

Lai, Ping-Tsuna; Chen, Shu-Yib,c; Lee, Yu-Sunc; Ho, Yu-Pingc; Chiang, Yi-Yingb,c; Hsu, Hung-Yia,c,d,*

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Journal of the Chinese Medical Association: October 2012 - Volume 75 - Issue 10 - p 513-518
doi: 10.1016/j.jcma.2012.07.005

    Abstract

    1. Introduction

    Platelet activation is a crucial mechanism in the pathophysiology of ischemic stroke.1–3 Activated platelets release various mediators and chemokines to recruit more activated platelets and leukocytes, which, in turn, accentuate local thrombogenesis and inflammatory responses.1,3 Propagation of thrombosis and inflammation might cause more injury to the ischemic brain tissue and lead to poor outcomes.2 Several markers of platelet activation were linked to poor outcomes of acute ischemic stroke.2,4,5 Inhibition of platelet function is an important therapeutic strategy in ischemic vascular diseases. Aspirin is an important and effective therapeutic strategy in secondary prevention of atherothrombotic events in acute ischemic stroke.6 The bioavailability and responsiveness of aspirin is variable among different individuals. Previous studies showed that 30%–40% of patients who experienced ischemic stroke were taking aspirin at the time of their events.7 The so-called aspirin resistance (AR) or aspirin unresponsiveness is widely discussed in the literature, though few studies focused on acute ischemic stroke patients.7–10 Effective antithrombotic management of acute ischemic stroke depends on a better understanding of AR and its potential influences on stroke outcomes.

    The usefulness of in vitro tests for AR remains undetermined.11 Among various platelet function tests, closure-time (CT) measured by platelet function analyzer-100 (PFA-100, Dade Behring, Marburg, Germany) equipped with collagen/epinephrine cartridge is able to evaluate the response to aspirin and is a point-of-care test among different tests of platelet function.12,13 Aspirin resistance determined by PFA-100 has shown that AR was associated with a higher risk of future cardiovascular events.14,15 Aspirin resistance assessed by PFA-100 occurred in approximately 15%–60% of patients with ischemic stroke, depending on the age, the history of diabetes and hypertension, and the acuteness of the ischemic event.7,16,17 Recent studies demonstrate that CT measured by PFA-100, as an indicator of platelet functions, might help in guiding antiplatelet therapy.18 The role of PFA in assessing platelet activation during the acute stage of ischemic stroke has only been evaluated in a few studies.7,9,10 The prognostic significance of AR in acute stroke patients is also rarely reported.10 Whether AR assessed by PFA-100 or humoral markers of platelet activation during the acute stroke period could predict patient outcome, or the likelihood of recurrent ischemic events is of interest. We conducted this study to evaluate the relationship between AR, plasma markers associated with platelet activation, and outcomes in patients with acute ischemic stroke.

    2. Methods

    2.1. Participants

    From Feb 1, 2005, to July 31, 2006, a total of 347 consecutive patients who were admitted to this hospital due to ischemic stroke within 7 days after onset were prospectively screened by experienced neurologists. All stroke patients fulfilled the World Health Organization criteria of stroke and had no evidence of hemorrhage on their cranial computed tomography or magnetic resonance imaging. Patients were excluded due to: (1) having used anticoagulants for secondary prevention (29 patients), (2) having contraindication for aspirin use (21 patients), (3) other known causes of ischemic stroke (arterial dissection in four patients, protein C deficiency in two patients, anticardiolipin syndrome in two patients, hypercoagulation state due to malignancy in one patient), (4) severe renal or hepatic diseases (10 patients), (5) hematocrit less than 30% (11 patients), (6) platelet count less than 100,000/cumm limbs (five patients), and (7) allergy to aspirin (three patients). After screening was completed, 269 patients were enrolled into this study. The study was approved by the institutional review committee of this hospital and all enrolled participants gave informed consent before entering this study. We recorded patient medical histories, cardiovascular risk factors, and currently used medications. Ancillary tests (chest radiography, electrocardiography, complete blood cell count, prothrombin time, activated partial thromboplastin time, fibrinogen, fasting plasma sugar, and routine biochemical tests) were further performed on all studied patients. In addition, all recruited patients received duplex sonography of cervical arteries and transcranial color-coded sonography. Echocardiography was performed if there was an abnormal electrocardiographic finding or finding on physical examination suggesting organic cardiac disease. Twenty-four-hour Holter electrocardiography was performed if paroxysmal arrhythmia was clinically suspected. All stroke patients were classified into different stroke subgroups based on results of the aforementioned investigations and criteria adapted from the Trial of Org 10172 in Acute Stroke Treatment (TOAST) study.19 National Institutes of Health Stroke Scale (NIHSS) and modified Rankin Scale (mRS) scores were recorded on admission, 30 days, and 90 days after the index stroke for all recruited patients. The stroke outcome was dichotomized by mRS for statistic analysis. A mRS ≤ 2 was defined as favorable outcome, and a mRS > 2 was defined as unfavorable outcome.

    All patients received 100 mg aspirin (standard form or enteric-coated form) per day for at least 5 days before being tested for platelet function and plasma markers. Venous blood was obtained by venipuncture at the forearm by 21-gauge needle for all participants after an overnight fast. Whole blood samples for platelet function study were anticoagulated with 3.8% sodium citrate and were analyzed immediately. After centrifugation, the citrated plasma samples were then stored at −70°C until further measurements were necessary.

    Platelet function was studied by using the PFA-100 device. The PFA-100 device measured the time necessary to form a hemostatic platelet plug and to occlude the central hole of an epinephrine/collagen- or adenosine diphosphate/collagen-coated membrane, which is called “closure time” and is related to platelet function.12 These results were recorded as epinephrine closure-time (Epi-CT) and adenosine diphosphate closure-time (ADP-CT). Patients who had an Epi-CT <193 seconds were classified as AR.20

    Commercial enzyme-linked immunoassay test kits were used to measure plasma concentrations of high sensitive C-reactive protein (hs-CRP), soluble P-selectin, soluble CD40-ligand (sCD40L), soluble intercellular adhesion molecule-1 (ICAM-1), von Willebrand factor (vWF), and D–dimer. Test kits from R&D Systems, Inc. (Minneapolis, MN, USA) were used for measuring P-selectin, sCD40L, hs-CRP, and ICAM-1, and test kits from American Diagnostica, Inc. (Stamford, CT, USA) were used for measuring vWF and D–dimer.

    2.2. Statistical analysis

    Continuous variables are expressed as mean ± standard deviation. Nonparametric Mann-Whitney test was used to compare variables between patients with and without AR, and between patients with favorable outcomes and unfavorable outcomes. Chi-square test was used for evaluating categorical variables. The Spearman rank correlation coefficient was used to evaluate the relationship between Epi-CT and other studied parameters. Univariate and multivariate logistic stepwise regression analysis were used to evaluate the relationship between stroke outcome and studied parameters. Age, sex, and AR were forced into the multivariate regression model in order to assess their influence. All statistical calculations were performed using a commercially available statistical package (SPSS 13.0 for Windows, SPSS Inc., Chicago, IL, USA). A p value less than 0.05 was considered statistically significant.

    3. Results

    The study population consisted of 70 women (26%) and 199 men, and they had a mean age of 68.7 ± 12.2 years (range: 21–91 years). Hypertension was observed in 210 patients (78.1%), diabetes in 99 patients (36.8%), hyperlipidemia in 71 patients (26.4%), history of previous transient ischemic attack or stroke in 141 patients (52.4%), coronary heart disease in 81 patients (30.1%), and current smoking status in 106 patients (39.4%); AR was observed in 83 patients (30.9%). The frequencies of AR in TOAST stroke subtypes were 33.0% (31 of 93) for atherothrombotic stroke, 42% (eight of 19) for cardioembolic stroke, 27.0% (26 of 95) for small vessel disease, and 29% (18 of 44) for undetermined cause (overall p < 0.001). Enteric-coated aspirin was not associated with AR. The demographic characteristics, National Institutes of Health Stroke Scale (NIHSS) at admission, and plasma levels of the previously mentioned factors were not different between patients with and without AR (Table 1). The outcome data at 90 days were not available in three patients without AR. Patients with AR were less likely to have favorable outcome at 30 days (47.0%, p = 0.047, odds ratio: 0.69, 0.48–0.99) and 90 days (57.8%, p = 0.037, odds ratio: 0.69, 0.47–0.97) after stroke compared with those of patients without AR (60.2% and 71.0%, respectively). Recurrent ischemic stroke occurred in three patients (3.6%) with AR and seven patients (3.8%) without AR (p = 1.000) during a 90-day follow-up. The Epi-CT significantly correlated with ADP-CT (r = 0.241, p < 0.001), white cell count (r = −0.125, p = 0.041), low density lipoprotein cholesterol (r = 0.120, p = 0.050), hs-CRP (r = −0.150, p = 0.014), vWF (r = −0.134, p = 0.028), and body mass index (BMI; r = 0.143, p = 0.019).

    Table 1
    Table 1:
    Comparison of clinical profiles and laboratory data between patients with and without aspirin resistance.

    The clinical and laboratory profiles of patients with favorable outcome and unfavorable outcome are shown in Table 2. Unfavorable stroke outcomes were associated with older age, female sex, history of coronary arterial diseases, atrial fibrillation, lower BMI, higher NIHSS score at admission, AR, and higher plasma concentrations of hs-CRP, D–dimer, vWF, and ICAM-1 (Table 2). Multivariate logistic stepwise regression analysis showed that NIHSS score at admission, atrial fibrillation, increased plasma levels of hs-CRP, and D–dimer were independent predictors for unfavorable 90-day outcome. The predictive power of AR became insignificant when hs-CRP was put into the regression model as a predictor for 90-day outcome. AR remained an insignificant factor in the final regression analysis after adjusting for age and sex (Table 3).

    Table 2
    Table 2:
    Comparison of clinical profiles between patients with favorable (mRS ≦ 2) and unfavorable 90-day outcome (mRS > 2).
    Table 3
    Table 3:
    Independent predictors for unfavorable outcome by multivariate logistic regression analysis.

    4. Discussion

    Our study demonstrated that biochemical AR, as evaluated by Epi-CT on PFA-100, is a common condition in acute ischemic stroke patients. The prevalence of AR in our patients was lower than those observed in other studies using Epi-CT in acute ischemic stroke patients.9,18 A low noncompliance rate and ethnic difference in responsiveness and bioavailability to aspirin may contribute to the lower prevalence of AR in our patients. Enteric-coated aspirin was not associated with higher frequency of AR in our study in contrast to previous study.18 The lipid profile and vascular risk factors were different between patients with and without AR.

    AR was associated with unfavorable 30-day and 90-day outcome in our patients. More interestingly, the predictors for 90-day outcome in multivariate regression analysis included NIHSS score, atrial fibrillation, plasma levels of hs-CRP, and D-dimer, but not AR. The Epi-CT significantly correlated with hs-CRP. Although AR was associated with unfavorable outcome in univariate analysis, the predictive power of AR (as defined by Epi-CT) was overridden by the power of hs-CRP in the regression model.

    CRP is an inflammatory marker, and it is associated with various cardiovascular diseases. Infection may precipitate an ischemic stroke attack.3 On the other hand, infectious complications during acute ischemic stroke period have an adverse effect on stroke recovery.21 Only a few patients (two patients with AR and one patient with non-AR) in our study had fever and CRP higher than 4.0 mg/dL, which suggested substantial infection at the time of blood test. We did not have enough data to comment on the relationship between infection and stroke outcome. The higher plasma concentration of CRP was associated with larger brain infarcts and a worse neurologic outcome.22 Some published data linked inflammation with AR.22–24 Inflammation, as represented by elevated CRP level, could accentuate platelet activation, and cytokines released by activated platelets could induce inflammatory responses. Both inflammation and platelet activation play important roles in acute ischemic vascular events. Inflammation and AR are not mutually exclusive, but rather two complementing elements of ischemic brain damage.24 CRP and D-dimer were independent predictors of poor stroke outcome in other studies.25,26 However, the usefulness of D–dimer in predicting stroke outcome needs more study.27

    The ADP-CT measured by PFA-100 is not affected by the use of aspirin.28 The significant correlation between ADP-CT and Epi-CT suggested that AR in our patients might result from abnormal platelet activation through noncyclooxygenase-mediated mechanisms. The PFA-100 test may unveil other biological factors that contribute to shortening Epi-CT, not necessarily resistant to aspirin. The results of the PFA-100 test represent the global status of platelet activation via various mechanisms including inadequate suppression effect of drug, systemic inflammation, and prothrombotic activity.

    Meta-analysis studies showed that patients who had laboratory AR are more likely to have clinical ischemic events.14,15,29 On the contrary, AR measured by PFA-100 did not predict new thrombotic event in patients with stable cardiovascular diseases in other studies.30–32 The frequency of previous history of stroke or transient ischemic attack was not different between our patients with and without AR. The discrepancies between studies could result from the fact that some studies recruited patients with chronic stable stroke and some studies recruited patients with acute ischemic stroke.17 Cohort study also demonstrated that the prevalence of AR decreased during follow-up tests.9,33 The recurrent ischemic vascular events during a 90-day follow-up in our study were too few to draw any conclusions.

    The relationship between different stroke subtypes and AR was unclear.10,22,34,35 Previous study showed that AR occurred more frequently in lacunar stroke.22 Our patients with cardioembolic stroke had a higher percentage of AR (seven of the eight patients with AR had atrial fibrillation), and increased platelet activation in patients with atrial fibrillation had also been reported.4,36 Atrial fibrillation is associated with inflammation and coagulation cascade activation.37 Inflammatory cytokines and activated coagulation factors such as thrombin could subsequently activate more platelets. Patients with atrial fibrillation could have high residual platelet aggregability, which was mediated through a noncyclooxygenase pathway and could not be suppressed by aspirin. Clinically, an oral anticoagulant is more effective than aspirin in preventing recurrent ischemic stroke for patients with atrial fibrillation.

    The PFA-100 results are strongly correlated with vWF in our study and previous reports.38 VWF is also a marker of cardiovascular risk and an independent risk factor for recurrent myocardial infarctions and death.39 Plasma vWF level was significantly higher in patients with unfavorable outcome in our study. Plasma levels of P-selectin, ICAM-1, and CD40 ligand were not associated with stroke outcome in our study. The application of these parameters in daily clinical practice is limited, partly because of insufficient reproducibility and the expense of time and required equipment. More studies are necessary to prove whether these markers could predict functional outcomes after stroke and could be helpful to guide therapeutic decisions.

    There are some limitations of this study. The study evaluated the short-term outcome only during a 90-day follow-up. The relationship between long-term outcome and AR was not studied. Furthermore, higher dose of aspirin was not allowed in this study. Another methodical problem is artifactual in vitro activation of platelets during blood sampling and processing.

    In conclusion, AR evaluated by PFA-100 was associated with unfavorable 30- and 90-day stroke outcome, but it was not predictive of 90-day functional outcome in patients with acute ischemic stroke. NIHSS score at admission, atrial fibrillation, and plasma levels of hs-CRP and D–dimer were predictors of 90-day outcomes. The results of PFA-100 test represented an overall effect of platelet inhibition by drug, systemic inflammation, and prothrombotic activity.

    Acknowledgments

    This study was supported in part by a National Science Council Research Grant (NSC 95-2314-B-075A-005) and a grant from the Taichung-Veterans General Hospital (TCVGH-973404C), Taiwan.

    References

    1. Angiolillo DJ, Ueno M, Goto S. Basic principles of platelet biology and clinical implications. Circ J. 2010;74:597-607.
    2. Lip GY, Blann AD, Farooqi IS, Zarifis J, Sagar G, Beevers DG. Sequential alterations in haemorheology, endothelial dysfunction, platelet activation and thrombogenesis in relation to prognosis following acute stroke: The West Birmingham stroke project. Blood Coagul Fibrinolysis. 2002;13:339-347.
    3. McColl BW, Allan SM, Rothwell NJ. Systemic infection, inflammation and acute ischemic stroke. Neuroscience. 2009;158:1049-1061.
    4. Tsai NW, Chang WN, Shaw CF, Jan CR, Chang HW, Huang CR, et al. Levels and value of platelet activation markers in different subtypes of acute non-cardio-embolic ischemic stroke. Thromb Res. 2009;124:213-218.
    5. Yip HK, Liou CW, Chang HW, Lan MY, Liu JS, Chen MC. Link between platelet activity and outcomes after an ischemic stroke. Cerebrovasc Dis. 2005;20:120-128.
    6. Antithrombotic Trialists' (ATT) Collaboration, Baigent C, Blackwell L, Collins R, Emberson J, Godwin J, et al. Aspirin in the primary and secondary prevention of vascular disease: collaborative meta-analysis of individual participant data from randomised trials. Lancet. 2009;373:1849-1860.
    7. Grundmann K, Jaschonek K, Kleine B, Dichgans J, Topka H. Aspirin non-responder status in patients with recurrent cerebral ischemic attacks. J Neurol. 2003;250:63-66.
    8. Berrouschot J, Schwetlick B, von Twickel G, Fischer C, Uhlemann H, Siegemund T, et al. Aspirin resistance in secondary stroke prevention. Acta Neurol Scand. 2006;113:31-35.
    9. McCabe DJ, Harrison P, Mackie IJ, Sidhu PS, Lawrie AS, Purdy G, et al. Assessment of the antiplatelet effects of low to medium dose aspirin in the early and late phases after ischaemic stroke and TIA. Platelets. 2005;16:269-280.
    10. Schwammenthal Y, Tsabari R, Shenkman B, Schwartz R, Matetzky S, Lubetsky A, et al. Aspirin responsiveness in acute brain ischaemia: association with stroke severity and clinical outcome. Cerebrovasc Dis. 2008;25:355-361.
    11. Alberts MJ. Platelet function testing for aspirin resistance is reasonable to do: yes!. Stroke. 2010;41:2400-2401.
    12. Kretschmer V, Bade S, Weippert-Kretschmer M, Kratzer MA. Measurement of primary haemostasis using a pressure clamp technique. Platelets. 2001;12:462-470.
    13. Favaloro EJ. Clinical utility of the PFA-100. Semin Thromb Hemost. 2008;34:709-733.
    14. Krasopoulos G, Brister SJ, Beattie WS, Buchanan MR. Aspirin “resistance” and risk of cardiovascular morbidity: systematic review and meta-analysis. BMJ. 2008;336:195-198.
    15. Reny JL, De Moerloose P, Dauzat M, Fontana P. Use of the PFA-100 closure time to predict cardiovascular events in aspirin-treated cardiovascular patients: a systematic review and meta-analysis. J Thromb Haemost. 2008;6:444-450.
    16. von Lewinski F, Riggert J, Paulus W. Towards a rationale of platelet aggregation monitoring in stroke prophylaxis? J Stroke Cerebrovasc Dis. 2009;18:111-115.
    17. Crescente M, Di Castelnuovo A, Iacoviello L, Vermylen J, Cerletti C, de Gaetano G. Response variability to aspirin as assessed by the platelet function analyzer (PFA)-100. A systematic review. Thromb Haemost. 2008;99:14-26.
    18. Alberts MJ, Bergman DL, Molner E, Jovanovic BD, Ushiwata I, Teruya J. Antiplatelet effect of aspirin in patients with cerebrovascular disease. Stroke. 2004;35:175-178.
    19. 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.
    20. Abaci A, Caliskan M, Bayram F, Yilmaz Y, Cetin M, Unal A, et al. A new definition of aspirin non-responsiveness by platelet function analyzer-100 and its predictors. Platelets. 2006;17:7-13.
    21. Kleinig TJ, Vink R. Suppression of inflammation in ischemic and hemorrhagic stroke: therapeutic options. Curr Opin Neurol. 2009;22:294-301.
    22. Song IU, Kim JS, Kim YI, Lee KS, Jeong DS, Chung SW. Relationship between high-sensitivity C-reactive protein and clinical functional outcome after acute ischemic stroke in a Korean population. Cerebrovasc Dis. 2009;28:545-550.
    23. Yeh ET, Khan BV. The potential role of antiplatelet agents in modulating inflammatory markers in atherothrombosis. J Thromb Haemost. 2006;4:2308-2316.
    24. Shantikumar S, Grant PJ, Catto AJ, Bamford JM, Carter AM. Elevated C-reactive protein and long-term mortality after ischaemic stroke: relationship with markers of endothelial cell and platelet activation. Stroke. 2009;40:977-979.
    25. Welsh P, Barber M, Langhorne P, Rumley A, Lowe GD, Stott DJ. Associations of inflammatory and haemostatic biomarkers with poor outcome in acute ischaemic stroke. Cerebrovasc Dis. 2009;27:247-253.
    26. Feinberg WM, Erickson LP, Bruck D, Kittelson J. Hemostatic markers in acute ischemic stroke. Association with stroke type, severity, and outcome. Stroke. 1996;27:1296-1300.
    27. Haapaniemi E, Tatlisumak T. Is D-dimer helpful in evaluating stroke patients? A systematic review. Acta Neurol Scand. 2009;119:141-150.
    28. Poulsen TS, Mickley H, Korsholm L, Licht PB, Haghfelt T, Jorgensen B. Using the platelet function analyzer-100 for monitoring aspirin therapy. Thromb Res. 2007;120:161-172.
    29. Snoep JD, Hovens MM, Eikenboom JC, van der Bom JG, Huisman MV. Association of laboratory-defined aspirin resistance with a higher risk of recurrent cardiovascular events: a systematic review and meta-analysis. Arch Intern Med. 2007;167:1593-1599.
    30. Gum PA, Kottke-Marchant K, Poggio ED, Gurm H, Welsh PA, Brooks L, et al. Profile and prevalence of aspirin resistance in patients with cardiovascular disease. Am J Cardiol. 2001;88:230-235.
    31. Boncoraglio GB, Bodini A, Brambilla C, Corsini E, Carriero MR, Parati EA. Aspirin resistance determined with PFA-100 does not predict new thrombotic events in patients with stable ischemic cerebrovascular disease. Clin Neurol Neurosurg. 2009;111:270-273.
    32. Christiaens L, Ragot S, Mergy J, Allal J, Macchi L. Major clinical vascular events and aspirin-resistance status as determined by the PFA-100 method among patients with stable coronary artery disease: a prospective study. Blood Coagul Fibrinolysis. 2008;19:235-239.
    33. Golanski J, Chlopicki S, Golanski R, Gresner P, Iwaszkiewicz A, Watala C. Resistance to aspirin in patients after coronary artery bypass grafting is transient: impact on the monitoring of aspirin antiplatelet therapy. Ther Drug Monit. 2005;27:484-490.
    34. Yamazaki M, Uchiyama S, Iwata M. Measurement of platelet fibrinogen binding and p-selectin expression by flow cytometry in patients with cerebral infarction. Thromb Res. 2001;104:197-205.
    35. Grau AJ, Weimar C, Buggle F, Heinrich A, Goertler M, Neumaier S, et al. Risk factors, outcome, and treatment in subtypes of ischemic stroke: the German stroke data bank. Stroke. 2001;32:2559-2566.
    36. Choudhury A, Chung I, Blann AD, Lip GY. Platelet surface CD62P and CD63, mean platelet volume, and soluble/platelet P-selectin as indexes of platelet function in atrial fibrillation: a comparison of “healthy control subjects” and “disease control subjects” in sinus rhythm. J Am Coll Cardiol. 2007;49:1957-1964.
    37. Watson T, Shantsila E, Lip GY. Mechanisms of thrombogenesis in atrial fibrillation: Virchow's triad revisited. Lancet. 2009;373:155-166.
    38. Faraday N, Becker DM, Yanek LR, Herrera-Galeano JE, Segal JB, Moy TF, et al. Relation between atherosclerosis risk factors and aspirin resistance in a primary prevention population. Am J Cardiol. 2006;98:774-779.
    39. Lip GY, Blann A. von Willebrand factor: a marker of endothelial dysfunction in vascular disorders? Cardiovasc Res. 1997;34:255-265.
    Keywords:

    acute stroke; aspirin; outcome; platelet aggregation; platelet function tests

    © 2012 by Lippincott Williams & Wilkins, Inc.