Abstract
Background and Purpose
Patients with low estimated glomerular filtration rate (eGFR) and proteinuria may be at increased risk for stroke. This study investigated whether low eGFR and proteinuria are outcome predictors in stroke patients treated with intravenous thrombolysis.
Methods
We studied 432 consecutive stroke patients who received thrombolysis from January 2006 to December 2012, in Taiwan. Unfavorable outcome was defined as modified Rankin scale ≥2 at 3 months after stroke. Proteinuria was classified as negative or trace, mild, and moderate to severe. Using logistic regression analysis, we identified independent factors for unfavorable outcome after thrombolysis.
Results
Of all patients, 32.7% had proteinuria. Patients with proteinuria were older, had higher frequencies of diabetes mellitus, hyperlipidemia, atrial fibrillation, lower eGFR, and greater severity of stroke upon admission than those without proteinuria. Proteinuria, not low eGFR, was an independent predictor for unfavorable outcome for stroke (OR = 2.00 for mild proteinuria, p = 0.035; OR = 2.54 for moderate to severe proteinuria, p = 0.035). However, no clear relationship was found between proteinuria and symptomatic hemorrhage after thrombolysis.
Conclusions
Proteinuria is an independent predictor of unfavorable outcome for acute ischemic stroke in patients treated with intravenous thrombolysis, indicating the crucial role of chronic kidney disease on the effectiveness of thrombolysis.
Introduction
Chronic kidney disease (CKD) is an important global public health issue [1]–[3]. Patients with CKD have a higher incidence of cardiovascular events, including ischemic stroke, than those without CKD [4], [5]. Impaired renal function is also associated with increased long-term mortality and poor outcome after stroke [6], [7]. Currently, intravenous thrombolysis remains the most effective and standard therapy for the acute ischemic stroke patient [8]–[10]. However, the impact of CKD on the functional outcome and hemorrhagic complications after thrombolysis remains inconclusive.
Two previous studies revealed that either increased serum creatinine level or reduced estimated glomerular filtration rate (eGFR), was associated with an unfavorable 3-month outcome in stroke patients receiving intravenous thrombolysis [11], [12] whereas another study did not find an association between eGFR<60 ml/min/m2 and poor functional outcome or death [13]. On the other hand, proteinuria (or albuminuria), an indicator of CKD, was found to be independently associated with increased risk of stroke and poor outcome after stroke [14]–[20]. One recent study shows that the presence of albuminuria after thrombolysis could be a predictor of hemorrhagic transformation in acute stroke patients [21]. The present study aimed to investigate whether low eGFR and proteinuria are independent predictors of the outcomes of acute ischemic stroke patients treated with intravenous thrombolysis in routine clinical practice.
Methods
Ethics Statement
This is a multi-center study including one medical center and three community hospitals in Taiwan. All participating hospitals have ongoing stoke registries which were approved by the National Taiwan University Hospital (NTUH) Research Ethics Committee (REC), NTUH Hsin-Chu Branch REC, NTUH Yun-Lin Branch REC, and Landseed Institutional Review Board, to prospectively collect information on acute stroke patients, including initial stroke severity, risk factors, stroke mechanisms, and outcome. All patients gave their written informed consent.
Patients
This study reviewed consecutive ischemic stroke patients receiving intravenous (IV) recombinant tissue plasminogen activator (rt-PA) from January 2006 to December 2012. Patients were treated for up to 4.5 hours after stroke onset [8], [22]. Demographic data, and vascular risk factors including hypertension, diabetes mellitus, dyslipidemia, atrial fibrillation, coronary artery disease, prior stroke, and smoking were recorded. Initial laboratory results, including a complete blood count, coagulation testing, glucose, liver, and renal function, were also recorded. A follow-up brain image as computed tomography or magnetic resonance image was routinely performed 24 to 36 hours after IV rt-PA to determine any occurrence of intracerebral hemorrhage (ICH). The stroke subtype was defined according to the Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification [23].
Our study subjects received IV rt-PA dosage that ranged from 0.6 to 0.9 mg/kg, and the standard dosage was defined as 0.9 mg/kg. Based on the Taiwan Thrombolytic Therapy for Acute Ischemic Stroke (TTT-AIS) study, the standard-dose of rt-PA may not be optimal for treating patients with old age and/or severe stroke due to increased risk of symptomatic ICH and mortality [24]. Therefore, a lower dosage (around 0.6 to 0.7 mg/kg) may have been chosen based on the patient's age and stroke severity.
Determination of proteinuria and impaired renal function
Urine for urinalysis was collected in every patient on admission. If the patient had two or more urinalysis results in the admission course, the one most close to the stroke onset was used. The level of urinary protein was examined using a urine dipstick and was classified into negative (dipstick reading of −), trace (+/−), or positive (1+ to 4+). We categorized the dipstick results into two groups in regard to proteinuria: absence (negative and trace results); or presence (1+ to 4+). The severity of proteinuria was sub-classified as mild (1+, approximately 20 mg/dL to 70 mg/dL) or moderate to severe (2+ to 4+, ≥75 mg/dL). The serum creatinine level was obtained at admission. An estimated glomerular filtration rate (eGFR) was calculated using the Modification of Diet in Renal Disease (MDRD) equation: eGFR = 186.3×(serum creatinine)−1.154×(age)−0.203×(0.742 if the subject is female) [25]. We categorized the eGFR results into 3 groups: eGFR ≥60, 45–59, and <45 mL/min/1.73 m2 of body surface area.
Outcome
The functional status at 3 months was defined by modified Rankin Scale (mRS) scores. Unfavorable outcome was defined as mRS ≥2. A hemorrhagic event was defined by the evidence of any ICH on the head images within the initial 36 hours. Symptomatic hemorrhage was defined as a neurological deterioration (NIHSS ≥4 points) within 36 hours with no radiological findings that might have been responsible for this deterioration other than a hemorrhage.
Statistical Analysis
The clinical characteristics according to hospital level (medical center versus community hospitals), functional outcome, and proteinuria status were compared using the Fisher's exact test, chi-squared test, Student's t-test, and Mann-Whitney U-test with relevant variables as indicated. The multivariable logistic regression analysis models were used with unfavorable outcome (mRS ≥2) and hemorrhagic transformation event as the dependent variables. The independent variables entered in the analyses were age, sex, initial NIHSS score, severity of proteinuria, and level of eGFR. Statistical test results were considered significant if p<0.05. Statistical analysis was performed using the SPSS software package version 20.0 (SPSS Inc., Chicago, IL, USA).
Results
From January 2008 to December 2012, there were 432 consecutive acute ischemic stroke patients receiving IV rt-PA. The mean±SD age of the study subjects was 67.2±12.2 years and 263 patients (60.9%) were male. The mean±SD serum creatinine level was 1.17±0.59 mg/dL (102.9±52.7 µmol/L), and eGFR of 68.4±22.7 mL/min/m2. One hundred and fifty-five patients (36.0%) had an eGFR<60 mL/min/m2. The median initial NIHSS score was 13. Regarding the dosage administered, 227 patients (52.5%) received a relatively low dose (0.6 to 0.7 mg/kg) of rt-PA whereas the remaining patients received a dose of >0.7 mg/kg of rt-PA. The incidence of hemorrhagic transformation was 22.7%, and the symptomatic ICH was 5.9%. The proportion of patients with a favorable outcome at 3 months was 34.0%. In addition, the NIHSS on admission, functional outcome, and hemorrhagic complications were similar between the medical center and community hospitals (Table S1).
Urinalysis data were available for 404 patients. There were 132 patients (32.7%) with at least 1+ urinary protein as shown on the urine dipstick exam who were categorized into the proteinuria group. These patients were elderly and had a relatively high prevalence of diabetes mellitus, dyslipidemia, atrial fibrillation, and initial NIHSS score than patients without proteinuria (Table 1). Unfavorable outcome for stroke (mRS ≥2) was more frequently seen in patients with proteinuria than in those without (78.8% vs. 59.9%, P<0.001) and the 3-month mortality rate was slightly higher in the proteinuria group (9.1% vs. 5.5%, p = 0.18). The occurrence of hemorrhagic transformation was slightly more common in patients with proteinuria (26.5% vs. 21.0%, p = 0.21), whereas the incidence of symptomatic hemorrhage was not different between the two groups (5.9% vs. 6.1%, p = 0.94).
Table 1. Demographics and clinical characteristics of the study patients.
Patients without proteinuria (n = 272) | Patients with proteinuria (n = 132) | P value | |
Age, years | 66.4±12.4 | 69.9±11.4 | 0.01 |
Male | 160 (58.8) | 81 (61.4) | 0.63 |
Body mass index, kg/m2 | 24.9±3.9 | 24.9±3.7 | 0.98 |
Stroke risk factors | |||
Hypertension | 193 (71.2) | 104 (78.8) | 0.11 |
Diabetes mellitus | 71 (26.3) | 51 (38.6) | 0.01 |
Dyslipidemia | 84 (31.0) | 53 (40.8) | 0.05 |
Atrial fibrillation | 115 (42.4) | 73 (55.3) | 0.02 |
Coronary artery disease | 45 (16.6) | 31 (23.5) | 0.10 |
Prior stroke | 60 (22.1) | 26 (19.7) | 0.57 |
Smoking | 67 (24.7) | 28 (21.2) | 0.44 |
Initial clinical characteristics | |||
Systolic blood pressure, mmHg | 159.9±29.4 | 164.3±34.5 | 0.19 |
Diastolic blood pressure, mmHg | 90.3±19.1 | 91.1±22.5 | 0.74 |
Serum creatinine, µmol/L | 92.1±25.6 | 126.8±82.2 | <0.001 |
Blood ureanitrogen, mmol/L | 6.21±2.27 | 8.17±4.16 | <0.001 |
eGFR, ml/min/m2 | 72.6±19.6 | 59.1±26.0 | <0.001 |
Blood glucose, mmol/L | 6.98±2.43 | 7.56±2.83 | 0.05 |
HbA1c, % | 6.2±1.4 | 6.5±1.3 | 0.02 |
Total cholesterol, mmol/L | 4.54±0.99 | 4.48±1.04 | 0.60 |
Proteinuria level | |||
Negative | 216 (79.4) | 0 (0) | <0.001 |
Trace (+/−) | 56 (20.6) | 0 (0) | |
Mild (1+) | 0 (0) | 75 (56.8) | |
Moderate to severe (≥2+) | 0 (0) | 57 (43.2) | |
NIHSS on admission (IQR) | 12 (8-18) | 15 (9-20) | 0.01 |
rt-PA administration | |||
Dosage, mg/kg | 0.73±0.14 | 0.70±0.14 | 0.11 |
Higher dose (>0.7 mg/kg) | 131 (48.2) | 51 (38.6) | 0.07 |
Time to treatment, min (IQR) | 131 (100–160) | 135 (105–160) | 0.35 |
Stroke subtype | |||
Cardioembolism | 113 (41.5) | 77 (58.3) | 0.001 |
Large-artery atherosclerosis | 71 (26.1) | 33 (25.0) | |
Small-vessel occlusion | 34 (12.5) | 7 (5.3) | |
Others | 54 (19.9) | 13 (9.8) |
Values are number (percentage), or mean (±standard deviation) except for NIHSS and time to treatment [median (IQR)].
NIHSS indicates National Institutes of Health stroke Scale; IQR, interquartile range.
In univariate analysis for an unfavorable outcome (mRS≥2), age, sex, presence of atrial fibrillation, presence of proteinuria, and higher NIHSS score were identified as significant factors (p<0.05, Table S2). Other renal function indicators including the factor of eGFR<60 ml/min/m2 were not significantly related to an unfavorable outcome. In the multivariate logistic regression analysis, the presence of proteinuria remained a significant risk factor, with higher urinary protein levels corresponding to a higher risk of unfavorable outcome (OR = 2.00 for mild proteinuria, 95% CI = 1.05–3.81, p = 0.035; OR = 2.54 for moderate to severe proteinuria, 95% CI = 1.07–6.02, p = 0.035; Table 2). Mild proteinuria was associated with a two-fold increased risk of a hemorrhagic event after rt-PA use in both unadjusted and adjusted models, while severe proteinuria did not show such an association (Table 3). On the other hand, the severity of reduced eGFR showed no significant impact on functional outcome and hemorrhagic complications.
Table 2. Multivariate analysis of unfavorable outcome.
Unadjusted OR (95% CI) | P value | Adjusted OR (95% CI)* | P value | |
Proteinuria level | ||||
Negative or trace | 1.00 | 1.00 | ||
Mild | 2.12 (1.18 – 3.79) | 0.012 | 2.00 (1.05-3.81) | 0.035 |
Moderate to severe | 3.14 (1.52 – 6.49) | 0.002 | 2.54 (1.07-6.02) | 0.035 |
eGFR level (mL/min/1.73 m2) | ||||
≥60 | 1.00 | 1.00 | ||
45 – 59 | 1.46 (0.86 – 2.48) | 1.02 (0.56-1.88) | 0.948 | |
<45 | 1.53 (0.83 – 2.82) | 0.236 | 0.93 (0.43-2.03) | 0.858 |
, adjusted for age, sex, initial NIHSS, and atrial fibrillation. In the multivariate model for the proteinuria level, the eGFR level was additionally adjusted. In the multivariate model for the eGFR level, the proteinuria level was additionally adjusted.
Unfavorable outcome was defined as modified Rankin scale ≥2 at 3 months after stroke.
Table 3. Association between the severity of proteinuria and hemorrhagic transformation after thrombolysis.
Unadjusted OR (95% CI) | P value | Adjusted OR (95% CI)* | P value | |
All hemorrhage | ||||
Proteinuria level | ||||
Negative or trace | 1.00 | 1.00 | ||
Mild | 2.12 (1.22 – 3.69) | 0.008 | 1.95 (1.10 – 3.46) | 0.023 |
Moderate to severe | 0.62 (0.28 – 1.37) | 0.236 | 0.43 (0.18 – 1.04) | 0.062 |
Symptomatic hemorrhage | ||||
Proteinuria level | ||||
Negative or trace | 1.00 | 1.00 | ||
Mild | 1.14 (0.41 – 3.23) | 0.801 | 1.07 (0.37 – 3.08) | 0.902 |
Moderate to severe | 0.89 (0.25 – 3.16) | 0.855 | 0.70 (0.18 – 2.81) | 0.617 |
, adjusted for age, sex, initial NIHSS, atrial fibrillation, and eGFR level.
Discussion
The main finding of our study was that in acute ischemic stroke patients treated with IV rt-PA, proteinuria was strongly related to unfavorable outcome at 3 months, and the effect remained significant even after adjusting for age, gender, and stroke severity. In addition, its detrimental effect was increased proportionally to the level of proteinuria. In contrast, we found that reduced eGFR, based on the creatinine level at admission, was not a predictor of poor functional outcome or hemorrhagic complications.
According to previously published reports, several prognostic factors were found consistently to be associated with poor outcome after rt-PA administration, such as older age, higher NIHSS score at baseline, current infarction on baseline imaging scans, high blood glucose, higher blood pressure, or premorbid functional deficits [26]–[29]. However, impaired renal function was seldom discussed among these studies. Theoretically, CKD patients are known to have abnormalities in coagulation and platelet function that favor thrombosis in the untreated state and then augment bleeding risks in the setting of antiplatelet drugs and anticoagulants [30]. Although CKD itself is not a contraindication to intravenous rt-PA administration in major clinical trials or guidelines [22], [31], [32], it is not known whether CKD patients can achieve equally good functional outcomes or worse bleeding complications as compared to patients without CKD.
One Switzerland study involving 196 ischemic stroke patients treated with rt-PA reported that a high initial serum creatinine level was independently associated with a poor outcome (defined as mRS score ≥3) at 3 months [11]. Another multi-center stroke registry involving 578 patients receiving rt-PA in Japan found that an eGFR<60 mL/min/m2 was an independent predictor toward ICH, poor outcome at 3 months, and mortality [12]. However, a report with 74 patients treated with rt-PA in a stroke center in the United States showed that an eGFR<60 mL/min/m2 was not associated with increased ICH, poor functional outcome, or death [13].
In our study, the commonly used indicators for renal dysfunction such as serum creatinine, blood urea nitrogen, or eGFR level were not different between favorable and unfavorable outcome groups. An eGFR<60 mL/min/m2 was not a predictor of unfavorable outcome or hemorrhagic transformation. As demonstrated by a large population-based study, the graded risk of cardiovascular events and mortality rose sharply for subjects with an eGFR<45 mL/min/m2 [4]. However in our study, even though eGFR<45 mL/min/m2 was used as a cut-off point for impaired renal function, eGFR was still was not associated with an unfavorable outcome for ischemic stroke.
Proteinuria is increasingly being recognized as an indicator and as a screening tool for CKD [14], [25]. Proteinuria is a sign of persistent dysfunction of the glomerular barrier and often precedes any detectable decline in renal filtration function [14]. Proteinuria itself is associated with approximately 50 to 70% increased risk of stroke [16], [18]. A large-scale stroke registry in Japan reported that proteinuria independently conferred increased risks of neurologic deterioration, mortality, and poor functional outcome among patients with acute ischemic stroke [20]. One recent single center study in Korea demonstrated that the presence of micro- and macro-albuminuria after intravenous thrombolysis was associated with hemorrhagic transformation, including parenchymal hemorrhage and symptomatic ICH [21]. To our knowledge, the present study is the first report to demonstrate that proteinuria is independently attributed to unfavorable outcome in patients treated with rt-PA, and the effect seems to be correlated to the severity of proteinuria.
The exact mechanism by which proteinuria is independently associated with unfavorable outcome after rt-PA-treated ischemic stroke is unclear. First, the presence of albuminuria is a predictor of hemorrhagic transformation after ischemic stroke, including those treated with intravenous thrombolysis [21], [37]. In our study, a mild degree of proteinuria (i.e., 1+ on dipstick exam, approximately 20–70 mg/dL) was associated with a two-fold increased risk of a hemorrhagic event, which might be one explanation for the unfavorable outcome in this group of patients. However, the net effect of proteinuria on symptomatic hemorrhage in our study was null, so other mechanisms might be involved in the pathogenesis of an unfavorable outcome. One currently favored mechanistic explanation is that proteinuria (or albuminuria) is a marker of generalized endothelial dysfunction [33], [34]. A greater capillary permeability for albumin in the systemic vasculature may lead to a generalized hemodynamic strain and disequilibrium, which ultimately initiates atherosclerosis. Furthermore, albuminuria is related to elevated serum concentrations of von Willebrand factor and other markers of endothelial dysfunction, a factor that might contribute to the formation of microthromboses [35], [36]. In our study, patients with proteinuria had more severe neurological deficits at stroke onset, which might reflect an earlier and global atherosclerosis process. Therefore, the presence of proteinuria might correlate more strongly to the overall vascular burden and atherosclerotic state than eGFR itself. In addition, whether the existence of proteinuria would weaken the efficacy of rt-PA in vascular recanalization in acute stroke patients deserves further evaluation. Taken together, these could be the reasons why proteinuria, but not eGFR, is independently associated with an unfavorable outcome.
There are some limitations of our study. First, not every patient receiving thrombolytic therapy had a urine dipstick examination, resulting in a slightly smaller sample size than initially expected. Even though, we found that proteinuria was still more important than eGFR in predicting functional outcome of thrombolytic patients at 3 months after stroke if we only analyzed the patients receiving both eGFR and urine examination (404 of 432 patients). Second, eGFR and proteinuria were determined by creatinine levels and urinary dipstick results at admission, which may have been affected by acute stroke effects. The possibility of transient proteinuria cannot be excluded. A pre-stroke evaluation and even repeated urinary examination would be desirable to abate the influence of stroke. Third, the urinary dipstick analyses were quasi-quantitative, and not standardized in our participating hospitals. Although the dipstick test is cost-effective and simple, its sensitivity is not always high enough since it is useful only for urinary protein >300 to 500 mg/day. Thus, it would more precise to evaluate the presence of micro albuminuria or urinary albumin-to-creatinine ratio.
In summary, our study demonstrated that proteinuria was an independent predictor of an unfavorable outcome after rt-PA treatment of acute ischemic stroke patients. A further prospective study is indicated to delineate the precise relationship between proteinuria or micro albuminuria and stroke outcome after rt-PA administration. In patients with proteinuria, further randomized controlled trials might be warranted to see if additional therapeutic strategies to reduce proteinuria would improve the efficacy of thrombolysis.
Supporting Information
Funding Statement
This study was supported in part by grants from the National Taiwan University Hospital (NTUH.102-S2186) and Academia Sinica, Taiwan (BM102021169). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1. El Nahas AM, Bello AK (2005) Chronic kidney disease: the global challenge. Lancet 365: 331–340. [DOI] [PubMed] [Google Scholar]
- 2. Coresh J, Selvin E, Stevens LA, Manzi J, Kusek JW, et al. (2007) Prevalence of chronic kidney disease in the United States. JAMA 298: 2038–2047. [DOI] [PubMed] [Google Scholar]
- 3. Wen CP, Cheng TY, Tsai MK, Chang YC, Chan HT, et al. (2008) All-cause mortality attributable to chronic kidney disease: a prospective cohort study based on 462 293 adults in Taiwan. Lancet 371: 2173–2182. [DOI] [PubMed] [Google Scholar]
- 4. Go AS, Chertow GM, Fan D, McCulloch CE, Hsu CY (2004) Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 351: 1296–1305. [DOI] [PubMed] [Google Scholar]
- 5. Koren-Morag N, Goldbourt U, Tanne D (2006) Renal dysfunction and risk of ischemic stroke or TIA in patients with cardiovascular disease. Neurology 67: 224–228. [DOI] [PubMed] [Google Scholar]
- 6. MacWalter RS, Wong SY, Wong KY, Stewart G, Fraser CG, et al. (2002) Does renal dysfunction predict mortality after acute stroke? A 7-year follow-up study. Stroke 33: 1630–1635. [DOI] [PubMed] [Google Scholar]
- 7. Yahalom G, Schwartz R, Schwammenthal Y, Merzeliak O, Toashi M, et al. (2009) Chronic kidney disease and clinical outcome in patients with acute stroke. Stroke 40: 1296–1303. [DOI] [PubMed] [Google Scholar]
- 8. Tissue plasminogen activator for acute ischemic stroke. The National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group. N Engl J Med 333: 1581–1587. [DOI] [PubMed] [Google Scholar]
- 9. Wardlaw JM, Zoppo G, Yamaguchi T, Berge E (2003) Thrombolysis for acute ischaemic stroke. Cochrane Database Syst Rev 3: CD000213. [DOI] [PubMed] [Google Scholar]
- 10. Wahlgren N, Ahmed N, Dávalos A, Ford GA, Grond M, et al. (2007) Thrombolysis with alteplase for acute ischaemic stroke in the Safe Implementation of Thrombolysis in Stroke-Monitoring Study (SITS-MOST): an observational study. Lancet 369: 275–282. [DOI] [PubMed] [Google Scholar]
- 11. Lyrer PA, Fluri F, Gisler D, Papa S, Hatz F, Engelter ST (2008) Renal function and outcome among stroke patients treated with IV thrombolysis. Neurology 71: 1548–1550. [DOI] [PubMed] [Google Scholar]
- 12. Naganuma M, Koga M, Shiokawa Y, Nakagawara J, Furui E, et al. (2011) Reduced estimated glomerular filtration rate is associated with stroke outcome after intravenous rt-PA: the Stroke Acute Management with Urgent Risk-Factor Assessment and Improvement (SAMURAI) rt-PA registry. Cerebrovasc Dis 31: 123–129. [DOI] [PubMed] [Google Scholar]
- 13. Agrawal V, Rai B, Fellows J, McCullough PA (2010) In-hospital outcomes with thrombolytic therapy in patients with renal dysfunction presenting with acute ischaemic stroke. Nephrol Dial Transplant 25: 1150–1157. [DOI] [PubMed] [Google Scholar]
- 14. Agrawal V, Marinescu V, Agarwal M, McCullough PA (2009) Cardiovascular implications of proteinuria: an indicator of chronic kidney disease. Nat Rev Cardiol 6: 301–311. [DOI] [PubMed] [Google Scholar]
- 15. Słowik A, Turaj W, Iskra T, Strojny J, Szczudlik A (2002) Microalbuminuria in nondiabetic patients with acute ischemic stroke: prevalence, clinical correlates, and prognostic significance. Cerebrovasc Dis 14: 15–21. [DOI] [PubMed] [Google Scholar]
- 16. Yuyun MF, Khaw KT, Luben R, Welch A, Bingham S, et al. (2004) Microalbuminuria and stroke in a British population: the European Prospective Investigation into Cancer in Norfolk (EPIC-Norfolk) population study. J Intern Med 255: 247–256. [DOI] [PubMed] [Google Scholar]
- 17. Madison JR, Spies C, Schatz IJ, Masaki K, Chen R, et al. (2006) Proteinuria and risk for stroke and coronary heart disease during 27 years of follow-up: the Honolulu Heart Program. Arch Intern Med 166: 884–889. [DOI] [PubMed] [Google Scholar]
- 18. Ninomiya T, Perkovic V, Verdon C, Barzi F, Cass A, et al. (2009) Proteinuria and stroke: a meta-analysis of cohort studies. Am J Kidney Dis 53: 417–425. [DOI] [PubMed] [Google Scholar]
- 19. Lee M, Saver JL, Chang KH, Liao HW, Chang SC, Ovbiagele B (2010) Impact of microalbuminuria on incident stroke: a meta-analysis. Stroke 41: 2625–2631. [DOI] [PubMed] [Google Scholar]
- 20. Kumai Y, Kamouchi M, Hata J, Ago T, Kitayama J, et al. (2012) Proteinuria and clinical outcomes after ischemic stroke. Neurology 78: 1909–1915. [DOI] [PubMed] [Google Scholar]
- 21. Cho BH, Kim JT, Chang J, Choi KH, Park MS, Cho KH (2013) Prediction of hemorrhagic transformation in acute ischaemic stroke by micro- and macroalbuminuria after intravenous thrombolysis. Eur J Neurol 20: 1145–1152. [DOI] [PubMed] [Google Scholar]
- 22. Hacke W, Kaste M, Bluhmki E, et al. Thrombolysis with alteplase 3 to 4.5 hours after acute ischemic stroke. N Engl J Med 359: 1317–1329. [DOI] [PubMed] [Google Scholar]
- 23. Adams HP Jr, Bendixen BH, Kappelle LJ, Biller J, Love BB, et al. (1993) 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 24: 35–41. [DOI] [PubMed] [Google Scholar]
- 24. Chao AC, Hsu HY, Chung CP, Liu CH, Chen CH, et al. (2010) Outcomes of thrombolytic therapy for acute ischemic stroke in Chinese patients: the Taiwan Thrombolytic Therapy for Acute Ischemic Stroke (TTT-AIS) study. Stroke 41: 885–890. [DOI] [PubMed] [Google Scholar]
- 25. Brosius FC 3rd, Hostetter TH, Kelepouris E, Mitsnefes MM, Moe SM, et al. (2006) Detection of chronic kidney disease in patients with or at increased risk of cardiovascular disease: a science advisory from the American Heart Association Kidney And Cardiovascular Disease Council; the Councils on High Blood Pressure Research, Cardiovascular Disease in the Young, and Epidemiology and Prevention; and the Quality of Care and Outcomes Research Interdisciplinary Working Group: developed in collaboration with the National Kidney Foundation. Circulation 114: 1083–1087. [DOI] [PubMed] [Google Scholar]
- 26. Wahlgren N, Ahmed N, Eriksson N, Aichner F, Bluhmki E, et al. (2008) Multivariable analysis of outcome predictors and adjustment of main outcome results to baseline data profile in randomized controlled trials: Safe Implementation of Thrombolysis in Stroke-MOnitoring STudy (SITS-MOST). Stroke 39: 3316–3322. [DOI] [PubMed] [Google Scholar]
- 27. Toyoda K, Koga M, Naganuma M, Shiokawa Y, Nakagawara J, et al. (2009) Routine use of intravenous low-dose recombinant tissue plasminogen activator in Japanese patients: general outcomes and prognostic factors from the SAMURAI register. Stroke 40: 3591–3595. [DOI] [PubMed] [Google Scholar]
- 28. Sharma VK, Tsivgoulis G, Tan JH, Wong LY, Ong BK, et al. (2010) Feasibility and safety of intravenous thrombolysis in multiethnic Asian stroke patients in Singapore. J Stroke Cerebrovasc Dis 19: 424–430. [DOI] [PubMed] [Google Scholar]
- 29. Saposnik G, Fang J, Kapral MK, Tu JV, Mamdani M, et al. (2012) The iScore predicts effectiveness of thrombolytic therapy for acute ischemic stroke. Stroke 43: 1315–1322. [DOI] [PubMed] [Google Scholar]
- 30. Fox KA, Antman EM, Montalescot G, Agewall S, SomaRaju B, et al. (2007) The impact of renal dysfunction on outcomes in the ExTRACT-TIMI 25 trial. J Am Coll Cardiol 49: 2249–2255. [DOI] [PubMed] [Google Scholar]
- 31. Jauch EC, Saver JL, Adams HP Jr, Bruno A, Connors JJ, et al. (2013) Guidelines for the early management of patients with acute ischemic stroke: A guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 44: 870–947. [DOI] [PubMed] [Google Scholar]
- 32. Norris JW, Buchan A, Cote R, Hachinski V, Phillips SJ, et al. (1998) Canadian guidelines for intravenous thrombolytic treatment in acute stroke. A consensus statement of the Canadian Stroke Consortium. Can J Neurol Sci 25: 257–259. [DOI] [PubMed] [Google Scholar]
- 33. Deckert T, Feldt-Rasmussen B, Borch-Johnsen K, Jensen T, Kofoed-Enevoldsen A (1989) Albuminuria reflects widespread vascular damage. The Steno hypothesis. Diabetologia 32: 219–226. [DOI] [PubMed] [Google Scholar]
- 34. Ovbiagele B (2008) Microalbuminuria: risk factor and potential therapeutic target for stroke? J Neurol Sci 271: 21–28. [DOI] [PubMed] [Google Scholar]
- 35. Knöbl P, Schernthaner G, Schnack C, Pietschmann P, Griesmacher A, et al. (1993) Thrombogenic factors are related to urinary albumin excretion rate in type 1 (insulin-dependent) and type 2 (non-insulin-dependent) diabetic patients. Diabetologia 36: 1045–1050. [DOI] [PubMed] [Google Scholar]
- 36.Ochodnicky P, Henning RH, van Dokkum RP, de Zeeuw D (2006) Microalbuminuria and endothelial dysfunction: emerging targets for primary prevention of end-organ damage. J Cardiovasc Pharmacol 47[Suppl 2]: : S151–S162. [DOI] [PubMed] [Google Scholar]
- 37. Rodríguez-Yáñez M, Castellanos M, Blanco M, Millán M, Nombela F, et al. (2006) Micro- and macroalbuminuria predict hemorrhagic transformation in acute ischemic stroke. Neurology 67: 1172–1177. [DOI] [PubMed] [Google Scholar]
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