Effect of Early and Intensive Rehabilitation after Ischemic Stroke on Functional Recovery of the Lower Limbs: A Pilot, Randomized Trial.

OBJECTIVE: We aimed to develop an early and intense lower extremity training technique using a recumbent cycle ergometer system in patients with acute ischemic stroke. METHODS: This was a pilot, prospective, randomized, controlled study with 2 parallel groups followed for 3 months with blinded assessment of outcomes. Thirty-one eligible patients were randomized to experimental and control groups. To strengthen the motion of the lower extremities within 48 hours after stroke, the control and experimental groups received conventional treatment and additional interventions under a therapist's guidance combined with conventional treatment, respectively. The primary outcome measure was the change in lower extremity motor control from admission to 4 weeks, assessed by the Fugl-Meyer Assessment. Secondary outcomes were the number of days to walking 50 m and the change in the Berg Balance Scale score and Barthel index. The modified Rankin Score was used to assess the overall function and prognosis at 3 months. RESULTS: Fugl-Meyer Assessment and Berg Balance Scale scores and Barthel index increased over time in the experimental group, as did the Berg Balance Scale score and Barthel index in the control group (P < .001). However, Fugl-Meyer Assessment scores in the control group were similar over time (F = 2.303, P = 1.119). Fugl-Meyer Assessment scores in the experimental group were higher than those in the control group after 2 and 4 weeks (P = .084 and .037, respectively). Compared with the control group at 2 weeks or at discharge, the percentage of patients who returned to unassisted walking in the experimental group showed an increasing trend (56.3% versus 26.67%, P = .095), but there was no significant difference between the 2 groups after 3 months (P = .598). The modified Rankin Score at 3 months showed no significant difference between the 2 groups (P > .05). CONCLUSIONS: Our early and intense lower extremity training technique involving a leg cycle ergometer system contributes to the recovery of lower extremity function in patients with acute ischemic stroke. This finding will provide a basis for future investigations on the applicability of the intervention in early lower extremity and walking rehabilitation among individuals with neurological disorder.

The Correlation between Atrial Fibrillation and Prognosis and Hemorrhagic Transformation.

OBJECTIVE: Atrial fibrillation (AF) is the recognized risk factor for hemorrhagic transformation (HT) in thrombolysis patients with acute ischemic stroke (AIS). But the impact of AF on prognosis is still controversial. In our study, we aimed to assess the relationship between AF and HT and prognosis. METHODS: We assessed 184 patients diagnosed with AIS and received thrombolysis from January 2016 to October 2017. Based on the imaging results during hospitalization, the patients were divided into HT and non-HT groups in which the HT was containing 40 patients. According to the modified Rankin Scale (mRS), we divided the patients into favorable prognosis (mRS score of 0-2) and the poor (mRS score >2) after 3 and 6 months of follow-up. Our analysis included demographics, onset to treatment time, initial blood pressure, baseline National Institutes of Health Stroke Scale (NIHSS) score, HT, anticoagulants, AF, smoking, and other past history. RESULTS: At baseline, there was a significant difference (p < 0.05) between the HT and non-HT groups in the level of age, hyperlipidemia, AF, NIHSS, and the application of anticoagulants. After 3 and 6 months of follow-up, we found that only NIHSS (OR3 month 1.421, 95% CI 1.280-1.578, p < 0.001, and OR6 month 1.326, 95% CI 1.217-1.445, p < 0.001) was associated with prognosis instead of AF, HT, and anticoagulants. Meanwhile, patients with AF tended to be older, higher NIHSS score and less hyperlipidemia (p < 0.05). CONCLUSION: The present study indicated that there is no significant correlation between AF and prognosis, although there is some indeed related with HT. That was, the prognosis with AF had a similar response trend compared with the non-AF.

Analysis of Risk Factors Increased Hemorrhagic Transformation after Acute Ischemic Stroke.

BACKGROUND: The purpose of this study was to analyze the risk factors of hemorrhagic transformation (HT) after intravenous thrombolysis using a recombinant tissue plasminogen activator (r-tPA) in acute ischemic stroke (AIS). METHODS: We included 199 consecutive patients in the First Affiliated Hospital of Wenzhou Medical University from January 2016 to October 2017 with a diagnosis of AIS. The patients were divided into 2 groups: HT and non-HT. The related risk factors were recruited before and after receiving r-tPA thrombolysis. RESULTS: Using univariate analysis, we found that there was a significant difference between the HT and non-HT group (P < .05) in the level of age, atrial fibrillation, baseline National Institute of Health Stroke Scale (NIHSS) score and NIHSS score after 2 hours of thrombolytic therapy, hyperlipidemia. Multivariate logistic regression analysis indicated that NIHSS score after 2 hours of thrombolytic therapy (odds ratio [OR] = 1.091, 95% confidence interval [CI] = 1.015-1.173 P = .018) and atrial fibrillation (OR = 2.188, 95%CI  = 1.024-4.672 P = .043) are the risk factors of HT. CONCLUSIONS: NIHSS score after 2 hours of thrombolytic therapy and atrial fibrillation were risk factors for HT after thrombolysis. Age (OR = 1.022, 95%CI = .988-1.056 P = .205), Hyperlipidemia (OR = .591, 95%CI = .29-1.206 P = .148), and Baseline NIHSS score (OR = .998, 95%CI = .914-1.089 P = .043) were not significant independent predictors but showed an association with HT. These 5 factors should be carefully taken into account.

Synergistic Effect of Hypokalemia and Atrial Fibrillation on Prognosis in Patients with Stroke after Intravenous Thrombolysis.

BACKGROUND: The association between atrial fibrillation (AF) and the prognosis of intravenous thrombolysis (IVT) in patients with Acute Ischemic Stroke (AIS) is debated. Hypokalemia is highly prevalent in patients with AF. We aimed to investigate the effect of hypokalemia and AF on the prognosis of AIS patients following IVT. METHODS: AIS patients undergoing IVT were enrolled and divided into four groups: normokalemia and non-AF, normokalemia and AF, hypokalemia and non-AF, hypokalemia and AF. Logistic regression was applied to analyze the impact of hypokalemia, AF, and their combination on the prognosis of patients. RESULTS: The analysis included 567 patients, 184 with 3-month poor prognosis (modified Rankin Scale score of 3-6). Following adjustment of risk factors, hypokalemia and AF increased the risks for 3-month poor prognosis (adjusted Odds Ratios (aOR) = 4.97; 95% confidence interval (CI), 1.99-12.44, P =.001), early neurological deterioration (END) (aOR=7.98; 95% CI, 3.55-17.95, P <.001), 1-year poor prognosis (aOR=5.05; 95% CI, 1.99-12.81, P =.001), 1-year all-cause death (aOR =6.95; 95% CI, 2.35-20.56, P <.001). Patients with normokalemia and AF merely increased the risk of 1-year all-cause death (aOR=2.69; 95% CI, 1.10-6.61, P=.013). Patients with hypokalemia and non-AF were not associated with any poor prognosis. There were combined and interactive effects of hypokalemia with AF on the 3-month poor prognosis (P for interaction =.039) and END (P for interaction=.005). CONCLUSION: Hypokalemia and AF synergistically increased the risk of near-term poor prognosis, END, long-term poor prognosis, and all-cause death of AIS patients following IVT.

Factors affecting daily activities of patients with cerebral infarction.

BACKGROUND: Stroke is the leading cause of death and long-term disability. This study was undertaken to investigate the factors influencing daily activities of patients with cerebral infarction so as to take interventional measures earlier to improve their daily activities. METHODS: A total of 149 patients with first-episode cerebral infarction were recruited into this prospective study. They were admitted to the Encephalopathy Center, Department of Neurology, the First Affiliated Hospital of Wenzhou Medical College in Zhejiang Province from August 2008 to December 2008. The baseline characteristics of the patients and cerebral infarction risk factors on the first day of admission were recorded. White blood cell (WBC) count, plasma glucose (PG), and many others of laboratory targets were collected in the next morning. Barthel index (BI) was calculated at 2 weeks and 3 months respectively after onset of the disease at the outpatient clinic or by telephone call. Lung infection, urinary tract infection and atrial fibrillation if any were recorded on admission. The National Institute of Health Stroke Scale (NIHSS) scores and the GCS scores were recorded within 24 hours on and after admission, at the second week, and at the third month after the onset of cerebral infarction respectively. RESULTS: The factors of BI at 2 weeks and 3 months after onset were the initial PG level, WBC count and initial NIHSS scores. Besides, urinary tract infection on admission was also the factor for BI at 3 months. CONCLUSION: Active measures should be taken to control these factors to improve the daily activities of patients with cerebral infarction.