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Objective. To investigate effects of different intervention time points of early rehabilitation on patients with acute ischemic stroke. Methods. We enrolled patients diagnosed with acute ischemic stroke in our hospital's rehabilitation ward from November 2013 to December 2015. Patients were randomly assigned to an ultraearly rehabilitation program (started within 72 hours of onset) or an early rehabilitation program (started from 72 hours to 7 days after onset). The efficacy was assessed by the NIH Stroke Scale (NIHSS) International, Barthel Index, and Fugl-Meyer Assessment at one and three months after rehabilitation. Data were analyzed by variance analysis of two-factor repeated measurement. Covariance analysis was used to adjust confounding factors for the determination of statistical differences. Results. 41 patients were enrolled in the ultraearly rehabilitation group, while 45 patients were in the early rehabilitation group. There were no differences between the two groups at baseline data. Compared with the early rehabilitation group, patients in the ultraearly rehabilitation group have significantly improved NIHSS score, BMI score, and FMA score at one month and three months (P < 0.001). After adjusting for confounding factors (gender, age, severity of NIHSS score, location of stroke, hypertension, diabetes, atrial fibrillation, and coronary heart disease), the significant difference still existed between the two groups at one month and three months (P < 0.001). Conclusion. Our study indicated a higher efficacy in the ultraearly rehabilitation group than the early rehabilitation group. The result suggests an important practical significance in favor of the clinical treatment of stroke. [ABSTRACT FROM AUTHOR]

Background. It is hard to differentiate transient symptoms associated with infarction (TSI) from transient ischemic stroke (TIA) without MRI in the early onset. However, they have distinct clinical outcomes and respond differently to therapeutics. Therefore, we aimed to develop a risk prediction model based on the clinical features to identify TSI. Methods. We enrolled 230 consecutive patients with transient neurologic deficit in the Department of Neurology, Tongji University Affiliated Tenth People's Hospital from March 2014 to October 2019. All the patients were assigned into TIA group (DWI-negative) or TSI group (DWI-positive) based on MRI conducted within five days of onset. We summarized the clinical characteristics of TSI by univariate and multivariate analyses. And then, we developed and validated a nomogram to identify TSI by the logistic regression equation. Results. Of the 230 patients, 41.3% were diagnosed with TSI. According to the multivariate analysis, four independent risk factors, including smoking history, low-density lipoprotein cholesterol, brain natriuretic peptide precursor, and ABCD3 score, were incorporated into a nomogram. We developed a predictive model named ABCD3-SLOPE. The calibration curve showed good agreement between nomogram prediction and observation. The concordance index (C-index) of the nomogram for TSI prediction was 0.77 (95% confidence interval, 0.70-0.83), and it was well-calibrated. Conclusions. Smoking history, low-density lipoprotein cholesterol, brain natriuretic peptide precursor, and ABCD3 score were reliable risk factors for TSI. ABCD3-SLOPE was a potential tool to quantify the likelihood of TSI. [ABSTRACT FROM AUTHOR]