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Figure 2: Cox regressions. Estimation of survival proportions between TROM
and ANTP. TROM: thrombolysis group; ANTP: anti-platelet group; P = 0.000
Whitney U-test, Pearson chi-square and Fisher’s
Figure 1: Cox regression. Estimation of favorable outcome proportions
between TROM and ANTP. TROM: thrombolysis group; ANTP: anti-platelet exact test. In Kaplan-Meier curve estimation and
group; P = 0.026
Cox regression, log rank test and backward step-wise
The survey was approved by The Ethics Committee of the likelihood chi-square test were used respectively.
First Affiliated Hospital of Guangzhou Medical University. The inclusion and exclusion criterion of stepping
The inclusion criteria were the following: (1) primary probability was 0.05 and 0.10 respectively. α = 0.05
diagnoses of cerebral infarction coded with International (two sided) was considered significant. Data were
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Classification of Diseases 10th edition I63 to I69; (2) symptoms calculated by IBM SPSS statistics version 19.
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onset to treatment time was within 6 h; (3) thrombolysis
with alteplase as per NINDS trial protocol or ordinary anti- RESULTS
platelet therapy such as aspirin and clopidegrel. Exclusion
criteria included: (1) symptoms and signs diminished rapidly Of the 2,949 AIS patients screened, one hundred and
without apparent neurological deficits; (2) no visible lesions eighty three met the inclusion and exclusion criteria.
on diffusion weighted image in magnetic resonance imaging; Fifteen patients lost follow-up. One hundred and sixty
(3) cerebral infarction caused by serious metabolic in-balance eight individuals entered the final analyses. Ninety
or infections. Patients were divided into thrombolysis group one were included in thrombolysis group (TROM) and
and ordinary anti-platelet one. The endpoints were defined 77 in anti-platelet (ANTP) one. Male accounted for 82
as favorable (modified Rankin Scale 0-2) or survival. Follow- (48.8%) and female 86 (51.2%). The median of age was 74
up were conducted through December, 2012 by structured [interquartile range (IQR) 67-79], NIHSS 9 (IQR 5-17) and
telephone interview. onset to treatment time 3.9 h (IQR 3.0-4.8) respectively.
The median length of follow-up was 112 (IQR 63.4-163.8)
Data for variables nearest to the time point of treatment were weeks. Differences of variables between two groups were
collected using Microsoft Office Excel 2003 (Microsoft listed in Table 1. Patients in TROM were younger, had
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Corporation, Redmond, WA, USA). The variables included higher NIHSS scales and lower serum troponin level,
demographics, vital signs, laboratory tests and radiological higher proportion of total anterior cerebral infarction,
manifestations. Known risk factors such as cardiac more hemorrhagic transformations and higher
abnormalities, hypertension and diabetes, smoking and prior proportions of hypertension, heart abnormalities and
stroke were included. The time elapse before treatment was family history of stroke. By the end of December 31, 2012,
recorded. National Institute of Health Stroke Scale (NIHSS) 87 patients (51.8%) reached favorable outcome while 81
scores were recorded in documents and reviewed by an (48.2%) unfavorable. Death occurred in 45 (26.8%) cases.
author (WY) who had passed the NIHSS training course in No significant differences were detected between
2009. TROM and ANTP. In Kaplan-Meier curve estimation,
patients in TROM showed a longer favorable period
Statistical analysis of time than those in ANTP [212 weeks 95% CI
For baseline independent variables, quantitative missing 169.5-254.5 vs. 126.9 weeks 95% confidence interval
2
values were replaced by linear regression estimates. (CI) 105.2-148.6; Log-Rank test x = 19.632, P =
We used binary correlations to test the collinearities 0.000], while no significance was seen in survival
of independent variables and made combinations time (258.0 weeks 95% CI 231.5-284.5 vs. 160.8
2
or reductions under professional considerations. weeks 95% CI 153.0-168.5; Log-Rank test x = 2.427,
Differences between groups were tested by Mann- P = 0.119). After adjusting covariates of age, gender

100 Neuroimmunol Neuroinflammation | Volume 3 | April 19, 2016