Literature DB >> 27418829

The Oxfordshire Community Stroke Project classification system predicts clinical outcomes following intravenous thrombolysis: a prospective cohort study.

Yuling Yang1, Anxin Wang2, Xingquan Zhao3, Chunxue Wang3, Liping Liu3, Huaguang Zheng3, Yongjun Wang3, Yibin Cao4, Yilong Wang3.   

Abstract

BACKGROUND: The Oxfordshire Community Stroke Project (OCSP) classification system is a simple stroke classification system that can be used to predict clinical outcomes. In this study, we compare the safety and efficacy of intravenous thrombolysis in Chinese stroke patients categorized using the OCSP classification system. PATIENTS AND METHODS: We collected data from the Thrombolysis Implementation and Monitoring of Acute Ischemic Stroke in China registry. A total of 1,115 patients treated with intravenous thrombolysis with alteplase within 4.5 hours of stroke onset were included. Symptomatic intracranial hemorrhage (SICH), mortality, and 90-day functional outcomes were compared between the stroke patients with different stroke subtypes.
RESULTS: Of the 1,115 patients included in the cohort, 197 (17.67%) were classified with total anterior circulation infarct (TACI), 700 (62.78%) with partial anterior circulation infarct, 153 (13.72%) with posterior circulation infarct, and 65 (5.83%) with lacunar infarct. After multivariable adjustment, compared to the patients with non-TACI, those with TACI had a significantly increased risk of SICH (odds ratio [OR] 8.80; 95% confidence interval [CI] 2.84-27.25, P<0.001), higher mortality (OR 5.24; 95% CI 3.19-8.62; P<0.001), and poor functional independence (OR 0.38; 95% CI 0.26-0.56; P<0.001) at 3-month follow-up.
CONCLUSION: After thrombolysis, the patients with TACI exhibited greater SICH, a higher mortality rate, and worse 3-month clinical outcomes compared with the patients with non-TACI. The OCSP classification system may help clinicians predict the safety and efficacy of thrombolysis.

Entities:  

Keywords:  OCSP classification; acute ischemic stroke; intravenous thrombolysis; outcome; symptomatic intracranial hemorrhage

Year:  2016        PMID: 27418829      PMCID: PMC4935162          DOI: 10.2147/TCRM.S107053

Source DB:  PubMed          Journal:  Ther Clin Risk Manag        ISSN: 1176-6336            Impact factor:   2.423


Introduction

Intravenous (IV) thrombolytic administration of recombinant tissue plasminogen activator (rtPA) remains the principal therapy for acute ischemic stroke (AIS) patients in the early hours after stroke onset.1,2 However, which patients are most likely to benefit from thrombolytic treatment remains unclear. Careful selection of patients who are suitable for thrombolytic treatment is very important, because it can maximize the benefits and reduce the risk of symptomatic intracranial hemorrhage (SICH) as far as possible. The factors associated with outcome include age, National Institutes of Health Stroke Scale (NIHSS) score, glucose, systolic blood pressure, prior antiplatelet use (aspirin or aspirin plus clopidogrel), history of atrial fibrillation, history of hypertension, weight, time to treatment, renal impairment, congestive heart failure, and early ischemic changes on pretreatment brain imaging. Several risk score models, such as Safe Implementation of Thrombolysis in Stroke (SITS), Stroke-TPI, MSS, Hemorrhage after Thrombolysis (HAT), and iScore, include various combinations of these factors.1,3–8 Although these models appear to be good, there may be room for further improvement. The stroke site and the size of the infarct may help to estimate the outcomes of intravenous thrombolysis (IVT) because posterior circulation stroke may be related to a lower risk of SICH following IVT.9,10 This is reflected in many clinical trials investigating thrombolytic therapy with rtPA in AIS. The concept was first described as part of the HAT score.6 In addition, Breuer et al11 published an observational study demonstrating differences in the complications and outcomes of IVT between patients with posterior circulation stroke and those with anterior circulation stroke. However, the use of neuroimaging to determine the site and size of the stroke may not be timely in emergency settings. The Oxfordshire Community Stroke Project (OCSP)12 classification system is a simple clinical classification method that predicts the site and size of the infarct on cerebral tomography (CT) in AIS patients. It is based on clinical syndromes alone and easy to perform. Some trials have shown that OCSP classification is useful in predicting clinical outcomes.12,13 Moreover, Mead et al14 showed that OCSP classification showed good inter-rater reliability. Good inter-rater reliability was also reflected in the studies of Al-Buhairi et al15 and Wardlaw et al.16 Therefore, we conducted this prospective cohort study to compare the clinical efficacy and safety of IVT between different subtypes of stroke classified according to the OCSP system.

Patients and methods

Patients and study design

We collected data from the Thrombolysis Implementation and Monitoring of Acute Ischemic Stroke in China (TIMS-China) registry, a national prospective stroke registry of AIS patients who received IVT with rtPA within 4.5 hours of symptom onset.17 Consecutive patients were recruited from 67 centers in the People’s Republic of china between May 2007 and April 2012. We included patients according to the following criteria: 1) age between 18 years and 80 years; 2) clinical diagnosis of stroke; 3) CT or magnetic resonance imaging (MRI)-based exclusion of hemorrhage or other non-ischemic disease; and 4) the absence of contraindications for IVT therapy. Written informed consent for the thrombolytic treatment was obtained from the patients or their family in all cases. The protocol of TIMS-China was approved by the Ethics Committee of Beijing Tiantan Hospital of the Capital Medical University, in compliance with the Declaration of Helsinki. After the ethical approval of Tiantan Hospital was obtained and approved by the other 67 participating hospitals, the ethical approval took effect automatically in each center. The registry was regularly monitored by the quality monitoring committee of TIMS-China. Data including sex, age, vascular risk factors such as atrial fibrillation, hypertension, diabetes, hyperlipidemia, smoking, and current medications (including anticoagulants/antiplatelets), NIHSS score upon admission, CT or MRI scans of the brain, and IVT information were recorded, and all patients were followed up for 3 months.

OCSP classification

The ischemic stroke patients included in our study were examined by two neurologists who independently looked at the history, conducted a physical examination, and assessed the patient’s symptoms before the administration of IV rtPA therapy. According to the OCSP classification system,12 the two examiners, who were blinded to the neuroimaging findings, independently categorized the patients into groups corresponding to the different subtypes of stroke. In cases of inter-rater disagreement, a third neurologist arbitrated the discrepancies. The patients were classified as having total anterior circulation infarct (TACI), partial anterior circulation infarct (PACI), posterior circulation infarct (POCI), or lacunar infarct (LACI) based on their maximum neurological defects.

Clinical outcomes

The primary efficacy appraisal indicator was the modified Rankin scale (mRS) score obtained at clinical follow-up or by telephone interview. The self-independence outcome was defined as an mRS score of 0–2 at 3 months.18,19 The main security evaluation index was the occurrence of SICH. SICH was assessed on follow-up MRI or CT at 24–36 hours after IVT in relation to neurologic worsening (NIHSS score ≥4) after treatment. We focused on the definition according to the Safe Implementation of Thrombolysis in Stroke-Monitoring Study (SITS-MOST).1 Other related SICH criteria, such as SICH based on NINDS and European Cooperative Acute Stroke Study (ECASS-2) criteria,20 are also presented here. As another main security evaluation index, all-cause mortality was recorded as well.

Statistical analysis

The chi-square (χ2) test was used to compare categorical variables. ANOVA or the Kruskal–Wallis test was used to compare means or medians for continuous variables. We further used chi-square (χ2) or Fisher’s exact test for post hoc multiple comparisons to compare any two OCSP subtypes for significant differences of different clinical outcomes. Statistical significance was defined as a P-value <0.008 (calculated as 0.05/6) for the post hoc multiple comparisons. The inter-rater reliability of the OCSP classification was assessed using unweighted kappa statistics. Univariable and multivariable logistic regression were used to analyze the odds ratios (ORs) and 95% confidence intervals (CIs) of the clinical outcomes among the different groups classified by the OCSP system. Because the number of SICH events collected in the PACI, POCI, and LACI groups was small, we called these three groups collectively as non-TACI group in the multivariable logistic regression. The interactions of baseline NIHSS score with OCSP classification system on clinical outcomes of IVT were analyzed by multivariate logistic regression modeling. The median NIHSS score (NIHSS =11) was used as the demarcation point of gradation in our analyses. In accordance with classic prediction models, such as HAT, IST-3, SITS, iScore, and so on, and combining significant (P<0.2) variables at baseline, all of the covariates that were adjusted for in the multivariable model were strictly selected. All analyses were performed with the SAS software version 9.4. Statistical significance was defined as a P-value <0.05 (two tailed).

Results

Baseline characteristics of study patients

Between May 2007 and April 2012, 1,440 consecutive AIS patients who received IVT were registered in TIMS-China. Of those, 325 patients were excluded because the thrombolysis took place outside the 4.5-hour time window (n=312) or because of incomplete data (n=13). Finally, a total of 1,115 patients were included in the study. Based on the OCSP criteria, the clinical stroke syndromes of all of the patients were as follows: 197 (17.67%) with TACI, 700 (62.78%) with PACI, 153 (13.72%) with POCI, and 65 (5.83%) with LACI (Figure 1). Inter-rater reliability for the first two examiners was excellent (κ=0.94, P<0.001).
Figure 1

Numbers of eligible patients.

Abbreviations: TIMS-China, Thrombolysis Implementation and Monitoring of Acute Ischemic Stroke in China; rtPA, recombinant tissue plasminogen activator; OCSP, Oxfordshire Community Stroke Project; TACI, total anterior circulation infarct; PACI, partial anterior circulation infarct; POCI, posterior circulation infarct; LACI, lacunar infarct; h, hours.

The baseline characteristics of the patients included in the study are summarized in Table 1. The patients in the TACI (23.35%; P=0.03) group had the highest proportion of atrial fibrillation history, and the patients in the POCI (8.25±3.07, P=0.01) group had the highest blood glucose levels. The baseline NIHSS scores were higher in the TACI (16.19±5.37) and POCI (14.73±11.37) groups than in the other two groups (P<0.001). The weights of the patients in the POCI (68.52±12.67; P=0.05) group were also higher than those in the other groups. Notably, the time to treatment (from onset to IV) was comparable among the groups. In addition, there were no significant differences in sex, rtPA dosage, medications, or other parameters (Table 1).
Table 1

Characteristics of the study patients according to the Oxfordshire Community Stroke Project classification system

VariablesTACI (n=197)PACI (n=700)POCI (n=153)LACI (n=65)P-value
Mean age (years)64.66±11.0163.54±11.4462.75±11.0060.97±11.470.11
Male sex (n, %)122 (61.93)413 (59.00)96 (62.75)48 (73.85)0.11
Past medical history
Independence (mRS 0–1) prior to stroke185 (93.91)672 (96.14)146 (96.69)65 (100.00)0.16
Atrial fibrillation (n, %)46 (23.35)129 (18.43)20 (13.07)6 (9.23)0.03
Hypertension (n, %)107 (54.31)412 (58.94)99 (64.71)41 (63.08)0.15
Diabetes mellitus (n, %)32 (16.24)118 (16.86)31 (20.26)15 (23.08)0.56
Hyperlipidemia (n, %)16 (8.12)46 (6.58)8 (5.23)3 (4.62)0.81
Current smoking (n, %)64 (32.49)244 (34.86)48 (31.37)29 (44.62)0.18
Previous smoking (n, %)71 (36.04)284 (40.57)60 (39.22)33 (50.77)0.46
TIA history (n, %)14 (7.11)58 (8.29)19 (12.42)10 (15.38)0.27
Stroke history (n, %)41 (20.81)123 (17.57)32 (20.92)8 (12.31)0.56
Mean blood glucose (mmol/L)8.01±3.317.49±2.858.25±3.077.94±3.390.01
Systolic blood pressure (mmHg)146.48±21.93148.21±20.74148.27±21.17150.26±19.400.60
Diastolic blood pressure (mmHg)84.36±13.7686.21±12.6785.77±11.6787.95±11.100.17
Receiving antiplatelet drugs within 24 h prior to thrombolysis (n, %)34 (17.26)96 (13.71)18 (11.76)7 (10.77)0.40
Receiving anticoagulants within 24 h prior to thrombolysis (n, %)3 (1.52)11 (1.57)3 (1.96)1 (1.54)0.99
Receiving antihypertensives within 24 h prior to thrombolysis (n, %)71 (36.04)271 (38.71)57 (37.25)30 (46.15)0.53
INR prior to thrombolysis1.02±0.141.02±0.121.01±0.121.03±0.420.71
Median NIHSS score (IQR)16 (12–20)10 (7–14)10 (5–23)7 (5–9),0.001
Median stroke onset to treatment time (IQR) (min)169 (162–176)169 (166–173)167 (159–176)162 (149–174)0.65
Mean rtPA dose (mg)55.45±10.4056.53±10.7157.97±12.5557.98±11.470.13
Patients with standard dosage of rtPA (n, %)130 (65.99)502 (71.71)99 (64.71)43 (66.15)0.19
Mean weight (kg)65.46±11.9065.98±11.4068.52±12.6767.66±11.810.05

Abbreviations: TACI, total anterior circulation infarct; PACI, partial anterior circulation infarct; POCI, posterior circulation infarct; LACI, lacunar infarct; mRS, modified Rankin Scale; TIA, transient ischemic attack; h, hours; NIHSS, National Institutes of Health Stroke Scale; IQR, interquartile range; min, minutes; rtPA, recombinant tissue plasminogen activator; INR, international normalized ratio.

Symptomatic intracerebral hemorrhage

The risk of SICH was highest in the patients with TACI (6.09%; P<0.001) (Table 2). After adjusting for potential confounding factors (age, sex, body weight, current smoking habits, atrial fibrillation, history of transient ischemic attack, history of stroke, hypertension, diabetes mellitus, blood glucose, systolic blood pressure, diastolic blood pressure, current medications (including anticoagulants/antiplatelets), NIHSS score upon admission, mean rtPA dose, and median stroke onset to treatment time), the risk of SICH was significantly increased in the TACI group compared with the non-TACI group (OR 8.80; 95% CI 2.84–27.25; P<0.001) (Table 3).
Table 2

Clinical outcomes stratified by the Oxfordshire Community Stroke Project classification

OutcomeTACI (n=197)PACI (n=700)POCI (n=153)LACI (n=65)P-value
mRS 0–1 at 3 months (n, %)45 (22.84)359 (51.29)*91 (59.48)*50 (76.92)*,**<0.001
mRS 0–2 at 3 months (n, %)64 (32.49)436 (62.29)*100 (65.36)*58 (89.23)*,**,***<0.001
24–36 h SICH (n, %) (sich_sitsmost)12 (6.09)7 (1.00)*1 (0.65)*0 (0.00)<0.001
24–36 h SICH (n, %) (sich_ecass2)22 (11.17)14 (2.00)*4 (2.61)*0 (0.00)*<0.001
24–36 h SICH (n, %) (sich_ninds)28 (14.21)24 (3.43)*5 (3.27)*0 (0.00)*<0.001
Mortality at 7 days (n, %)32 (16.24)11 (1.57)*14 (9.15)**0 (0.00)*<0.001
Mortality at 3 months (n, %)53 (26.90)29 (4.26)*27 (17.88)**0 (0.00)*,***<0.001

Notes: Chi-square (χ2) or Fisher’s exact test was used for post hoc multiple comparisons.

P<0.008 compared to TACI,

P<0.008 compared to PACI, and

P<0.008 compared to POCI.

Abbreviations: TACI, total anterior circulation infarct; PACI, partial anterior circulation infarct; POCI, posterior circulation infarct; LACI, lacunar infarct; mRS, modified Rankin Scale; h, hours; SICH, symptomatic intracerebral hemorrhage; SITS-MOST, Safe Implementation of Thrombolysis in Stroke-Monitoring Study.

Table 3

Logistic regression analysis of the clinical outcomes

OutcomeTACI n/N (%)Non-TACI n/N (%)Unadjusted analysis
Adjusted analysis
Odds ratio (95% CI)P-valueOdds ratio (95% CI)P-value
SICH (SITS-MOST definition)12/197 (6.09)8/918 (0.87)7.38 (2.98–18.30)<0.0018.80 (2.84–27.25)<0.001
Mortality at 3 months53/197 (26.90)56/897 (6.24)5.53 (3.65–8.37)<0.0015.24 (3.19–8.62)<0.001
mRS 0–2 at 3 months64/197 (32.49)594/918 (64.70)0.27 (0.20–0.38)<0.0010.38 (0.26–0.56)<0.001

Notes: Adjusted for age, sex, body weight, current smoking habits, atrial fibrillation, history of TIA, hypertension, diabetes mellitus, blood glucose, systolic blood pressure, diastolic blood pressure, current medications (including anticoagulants/antiplatelets), NIHSS score upon admission, mean rtPA dose, and median stroke onset to treatment time. Non-TACI: PACI + POCI + LACI.

Abbreviations: TACI, total anterior circulation infarct; SICH, symptomatic intracerebral hemorrhage; SITS-MOST, Safe Implementation of Thrombolysis in Stroke-Monitoring Study; mRS, modified Rankin Scale; TIA, transient ischemic attack; NIHSS, National Institutes of Health Stroke Scale; rtPA, recombinant tissue plasminogen activator; PACI, partial anterior circulation infarct; POCI, posterior circulation infarct; LACI, lacunar infarct.

Figure 2 shows the clinical outcomes at 3 months. The functional independence rate (mRS 0–2) at 3 months was significantly lower in the TACI group compared with the other groups (32.49% vs 63.88%; P<0.001). Although patients with PACI tend to have roughly equivalent SICH rate compared to POCI, patients with POCI appear to have higher mortality than those with PACI (17.88% vs 4.26%; P<0.008) (Table 2). After multivariable adjustment, the patients in the TACI group exhibited a significantly lower rate of good functional outcomes (mRS 0–2) compared to the rates of those in the non-TACI group (OR 0.38; 95% CI 0.26–0.56; P<0.001) (Table 3).
Figure 2

Distribution of modified Rankin Scale scores in patients with TACI and non-TACI.

Note: Non-TACI: PACI + POCI + LACI.

Abbreviations: TACI, total anterior circulation infarct; PACI, partial anterior circulation infarct; POCI, posterior circulation infarct; LACI, lacunar infarct.

Nearly 109 patients died within 90 days of IVT (Table 2). Of these, 53 (26.90%) had TACI, 29 (4.26%) had PACI, 27 (17.88%) had POCI, and 0 (0.00%) had LACI (Table 2). After multivariable adjustment, the TACI group showed a significantly higher mortality rate at 3 months compared to the non-TACI group (OR 5.24; 95% CI 3.19–8.62; P<0.001) (Table 3). The adjusted multivariable logistic regression model with interaction performed well; there were no significant interactions of baseline NIHSS score with OCSP classification system on the risk of SICH (P=0.51), mortality rate at 3 months (P=0.78), and the functional independence rate (P=0.69) (Table 4).
Table 4

Logistic regression analysis for the clinical outcomes and interactions, according to the baseline NIHSS score

OutcomesNIHSS ≤11
NIHSS >11
P for interactions
Odds ratio (95% CI)P-valueOdds ratio (95% CI)P-value
SICH (SITS-MOST definition)6.99 (0.17–288.08)0.1510.98 (2.63–45.86)<0.010.51
Mortality at 3 months3.63 (0.85–15.59)0.185.05 (2.86–8.91)<0.0010.78
mRS 0–2 at 3 months0.54 (0.25–1.15)0.140.35 (0.22–0.55)<0.0010.69

Note: Adjusted for age, sex, body weight, current smoking habits, atrial fibrillation, history of TIA, hypertension, diabetes mellitus, blood glucose, systolic blood pressure, diastolic blood pressure, current medications (including anticoagulants/antiplatelets), NIHSS score upon admission, mean rtPA dose, and median stroke onset to treatment time.

Abbreviations: NIHSS, National Institutes of Health Stroke Scale; SICH, symptomatic intracerebral hemorrhage; SITS-MOST, Safe Implementation of Thrombolysis in Stroke-Monitoring Study; mRS, modified Rankin Scale; TIA, transient ischemic attack; rtPA, recombinant tissue plasminogen activator.

Discussion

This multicenter prospective study based on the TIMS-China registry demonstrated an unfavorable outcome following IVT in AIS patients with TACI compared to those in the non-TACI group. The patients with TACI had a higher risk of post-thrombolytic SICH and a higher mortality rate at 3 months, and they were less likely to be functionally independent. These findings are consistent with the results of Sung et al.21 Our study revealed that the OCSP clinical classification system identified two major groups (TACI and non-TACI). These two groups exhibited different risks of SICH following IVT, a finding that primarily reflects the different pathological and physiological mechanisms of the different types of stroke. TACI is most likely to develop into massive cerebral infarction; the majority of TACI cases are caused by proximal middle cerebral artery occlusion, while few are caused by internal carotid siphon occlusion. PACI can also involve the occlusion of the middle cerebral artery; however, the occlusion is most likely to be its distal end or branches, or the cortex which is of abundant collateral circulation. The anterior cerebral artery and its branches may also be responsible for PACI. Therefore, PACI usually results in small and medium infarctions. POCI is likely to include brainstem infarction, cerebellum infarction, or occipital lobe infarction caused by occlusion of the vertebral basilar artery and its branches. LACI includes lacunar infarctions in small perforating branches supplying the basal ganglia or pons. In conclusion, stroke symptoms were more severe in patients with TACI than in the other groups. CT and diffusion weighted imaging (DWI) studies have demonstrated that SICH is most likely to occur with extensive cerebral ischemia.9,22 Although POCI can also involve massive cerebral infarction, there are better collaterals in the territory affected by POCI than by TACI. Moreover, we observed that there were no significant interactions between the baseline NIHSS score and OCSP clinical classification system. These interactions indicated that the severity of stroke at baseline had no effect on the association between the OCSP classification system and clinical outcomes of IVT. Another finding of our study was that patients with PACI tend to have roughly equivalent SICH rate compared to POCI, but patients with POCI appear to have higher mortality than patients with PACI, despite there being better collaterals in the territory affected by POCI. It could be due to the characteristic of the infarct location of POCI. The anatomic structure and physiological function of posterior circulation are very complicated. Brainstem is an important part of nerve activity of posterior circulation, and the ascending reticular activating system, the cranial nerve, and the nerve conduction bundle are mainly localized around this area. When cerebral circulation insufficiency and neurological impairment occur, there will be different but overlapping clinical manifestations, especially during multifocal cerebral infarction. As such, it is difficult for doctors to diagnose the infarct location accurately. Moreover, CT is not sensitive to the diagnosis of posterior circulation infarction. Therefore, it tends to delay treatment for POCI patients, which may lead to a higher mortality. Furthermore, posterior circulation contains important vital centers, especially the medulla oblongata. Infarction of these locations can cause sudden death in patients.23 In view of these reasons, patients with POCI appear have higher mortality compared to patients with PACI. The OCSP clinical classification system is a simple and reliable method that can be used to categorize AIS patients at the bedside. Several studies have shown that OCSP classification is closely associated with the size and site of the infarct on neuroimaging findings.15,24 However, the size and site of ischemic brain tissue were also closely associated with the occurrence of SICH after IVT.25,26 Additionally, the OCSP classification assigned in the early hours of AIS correlated well with early ischemic changes on pretreatment CT,27 which has been shown to be one of the most important independent risk factors for SICH following IVT.28 Moreover, because baseline NIHSS score is a key predictor, models that predict post-thrombolysis SICH usually include high NIHSS scores at baseline.6,28,29 However, the NIHSS score exhibits a bias when forecasting the outcomes of POCI following IVT. Because it does not have such an assessment bias, OCSP clinical classification complements NIHSS score when predicting SICH risk. In general, OCSP classification may be another tool to help predict the safety and efficacy of IVT. Studies of the accuracy of the OCSP classification system have confirmed that it is accurate and effective. In combination with CT and MRI, Mead et al14 prospectively collected 1,012 patients with AIS and calculated the sensitivity, specificity, and the positive and negative predictive values of the OCSP classification system in predicting infarct area and size. The study showed that OCSP classification could correctly predict the location and size of the infarction in 75% of patients, and the best theoretical value was 84%. Moreover, Wardlaw et al16 showed that OCSP classification correctly predicted infarct size and location in 88% of patients, with 95% CI =77%–92%. Other studies have arrived at similar conclusions using neuroimaging and autopsy materials.30,31 However, it is not practical to require OCSP classification to have 100% accuracy, because even CT/MRI cannot reach absolute accuracy. Additionally, in the acute period of cerebral infarction, the validity of the TOAST classification, which ranged from 70.15% to 62% depending on neuroimaging and other devices used, was not higher than that of OCSP classification.32 However, some limitations of our study should be noted. First, the number of SICH events collected in our study was small, which decreases the statistical power and may not have been sufficient to enable adjustment for all of the potential confounds. Nevertheless, it did not prevent us from detecting a significant difference in clinical outcomes following IVT between the different types of OCSP classifications. Second, because we follow a hierarchical diagnosis and treatment policy in our country, many minor strokes were treated in community hospitals. Most centers in our study were tertiary hospitals, so the proportion of patients with LACI was low. This might have led to a selection bias in the study and, therefore, additional larger studies of the OCSP classifications are needed to assess the clinical implications of our findings.

Conclusion

In our study, we compared the clinical outcomes of different types of OCSP classifications following IVT in AIS patients. We found that patients with TACI exhibited a higher incidence of SICH, a higher mortality rate, and a worse clinical outcome at 3 months after IVT compared with those with non-TACI. We conclude that the OCSP classification system will help clinicians in predicting the safety and efficacy of IVT.
  32 in total

1.  The iScore predicts effectiveness of thrombolytic therapy for acute ischemic stroke.

Authors:  Gustavo Saposnik; Jiming Fang; Moira K Kapral; Jack V Tu; Muhammad Mamdani; Peter Austin; S Claiborne Johnston
Journal:  Stroke       Date:  2012-02-03       Impact factor: 7.914

2.  The stroke-thrombolytic predictive instrument: a predictive instrument for intravenous thrombolysis in acute ischemic stroke.

Authors:  David M Kent; Harry P Selker; Robin Ruthazer; Erich Bluhmki; Werner Hacke
Journal:  Stroke       Date:  2006-10-26       Impact factor: 7.914

3.  How well does the Oxfordshire community stroke project classification predict the site and size of the infarct on brain imaging?

Authors:  G E Mead; S C Lewis; J M Wardlaw; M S Dennis; C P Warlow
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-05       Impact factor: 10.154

4.  Tissue plasminogen activator for acute ischemic stroke.

Authors: 
Journal:  N Engl J Med       Date:  1995-12-14       Impact factor: 91.245

5.  Prediction of infarct topography using the Oxfordshire Community Stroke Project classification of stroke subtypes.

Authors:  A R Al-Buhairi; S J Phillips; G Llewellyn; M M Jan
Journal:  J Stroke Cerebrovasc Dis       Date:  1998 Sep-Oct       Impact factor: 2.136

6.  Implementation and outcome of thrombolysis with alteplase 3 to 4.5 h after acute stroke in Chinese patients.

Authors:  Xiao-Ling Liao; Chun-Xue Wang; Yi-Long Wang; Chun-Juan Wang; Xing-Quan Zhao; Li-Qun Zhang; Li-Ping Liu; Yue-Song Pan; Yong-Jun Wang
Journal:  CNS Neurosci Ther       Date:  2012-12-04       Impact factor: 5.243

7.  Validation of a clinical classification for subtypes of acute cerebral infarction.

Authors:  C S Anderson; B V Taylor; G J Hankey; E G Stewart-Wynne; K D Jamrozik
Journal:  J Neurol Neurosurg Psychiatry       Date:  1994-10       Impact factor: 10.154

8.  Risk for symptomatic intracerebral hemorrhage after thrombolysis assessed by diffusion-weighted magnetic resonance imaging.

Authors:  Oliver C Singer; Marek C Humpich; Jens Fiehler; Gregory W Albers; Maarten G Lansberg; Andiras Kastrup; Alex Rovira; David S Liebeskind; Achim Gass; Charlotte Rosso; Laurent Derex; Jong S Kim; Tobias Neumann-Haefelin
Journal:  Ann Neurol       Date:  2008-01       Impact factor: 10.422

9.  The Oxfordshire Community Stroke Project classification: correlation with imaging, associated complications, and prediction of outcome in acute ischemic stroke.

Authors:  Sean J Pittock; Dara Meldrum; Orla Hardiman; John Thornton; Paul Brennan; Joan T Moroney
Journal:  J Stroke Cerebrovasc Dis       Date:  2003-01       Impact factor: 2.136

10.  Thrombolysis in anterior versus posterior circulation strokes: timing of recanalization, ischemic tolerance, and other differences.

Authors:  Jorge Pagola; Marc Ribo; José Alvarez-Sabin; Marta Rubiera; Estevo Santamarina; Olga Maisterra; Raquel Delgado-Mederos; Gemma Ortega; Manuel Quintana; Carlos A Molina
Journal:  J Neuroimaging       Date:  2011-04       Impact factor: 2.486

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Authors:  Joao Brainer Clares de Andrade; Jay P Mohr; Felipe Brito Timbó; Camila Rodrigues Nepomuceno; João Vitor da Silva Moreira; Isabelle da Costa Goes Timbó; Fabricio Oliveira Lima; Gisele Sampaio Silva; John Bamford
Journal:  Eur Stroke J       Date:  2021-06-18

2.  Ischemic Stroke Subtypes: Socio-demographic Factors, Risk Factors, and Outcomes in Southern Sri Lanka.

Authors:  Sathyajith Buddhika Ambawatte; Dulmini Nadeesha Weerathunga; Athula Dissanayake; Surangi Chandhi Somaratne; Kanishka Athukorala; Piyumi Sachindra Alwis Wijewickrama
Journal:  Ethn Dis       Date:  2021-10-21       Impact factor: 1.847

3.  Plasma MicroRNA-16 Is a Biomarker for Diagnosis, Stratification, and Prognosis of Hyperacute Cerebral Infarction.

Authors:  Chunou Tian; Zifu Li; Zhigang Yang; Qinghai Huang; Jianmin Liu; Bo Hong
Journal:  PLoS One       Date:  2016-11-15       Impact factor: 3.240

4.  The Diagnostic Value of Whole Blood lncRNA NR_120420 for Acute Ischemic Stroke.

Authors:  Chunou Tian; Zifu Li; Sisi Li; Lei Zhang; Dongwei Dai; Qinghai Huang; Yu Zhou; Bo Hong
Journal:  Oxid Med Cell Longev       Date:  2022-02-23       Impact factor: 6.543

5.  Clinical Characteristics of Patients with Acute Ischemic Stroke Previously Vaccinated Against COVID-19.

Authors:  Marija Stamenković; Ljiljana Radmilo; Mirjana Jovićević; Tamara Rabi-Žikić; Marija Žarkov; Svetlana Ružička-Kaloci; Svetlana Simić; Aleksandar Stamenković; Jelena Dangić; Goran Knezović; Željko Živanović
Journal:  J Stroke Cerebrovasc Dis       Date:  2022-04-04       Impact factor: 2.677

6.  Recurrent thrombolysis of a stuttering lacunar infarction captured on serial MRIs.

Authors:  Imama Naqvi; Alexis N Simpkins; Kaylie Cullison; Emily Elliott; Dennys Reyes; Richard Leigh; John K Lynch
Journal:  eNeurologicalSci       Date:  2018-10-30

7.  Association between serum non-high-density lipoprotein cholesterol and cognitive dysfunction after acute ischemic stroke: a cross-sectional study.

Authors:  Yinghui Jiao; Tian Tian; Shasha Wei; Chengdong Wang; Lili Wu
Journal:  Braz J Med Biol Res       Date:  2020-10-30       Impact factor: 2.590

8.  Analysis of Prognostic Risk Factors Determining Poor Functional Recovery After Comprehensive Rehabilitation Including Motor-Imagery Brain-Computer Interface Training in Stroke Patients: A Prospective Study.

Authors:  Qiong Wu; Yunxiang Ge; Di Ma; Xue Pang; Yingyu Cao; Xiaofei Zhang; Yu Pan; Tong Zhang; Weibei Dou
Journal:  Front Neurol       Date:  2021-06-10       Impact factor: 4.003

  8 in total

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