Modafinil in Recovery after Stroke (MIRAS): A Retrospective Study.

BACKGROUND AND PURPOSE: Acute rehabilitation is known to enhance stroke recovery. However, poststroke lethargy and fatigue can hinder participation in rehabilitation therapies. We hypothesized that in patients with moderate to severe stroke complicated by poststroke fatigue and lethargy early stimulant therapy with modafinil increases favorable discharge disposition defined as transfer to acute inpatient rehabilitation or home. METHODS: We retrospectively reviewed a cohort of patients with acute stroke admitted to the stroke service over a 3-year period. All patients 18 years or older with confirmed ischemic or hemorrhagic stroke, an NIHSS greater than or equal to 5 and documentation of fatigue/lethargy in clinical documentation were included. We compared patients that were treated with modafinil 50-200 mg to those managed with standard care. The primary outcome measure was discharge disposition. Secondary outcome was 90 day modified Rankin score (mRS). Statistical significance was determined using chi-square test for association and logistic regression models. Logistic regression models were derived in 2 ways with both raw data and an adjusted model that accounted for age, sex, and NIHSS score to account for the lack of randomization. RESULTS: This study included 199 stroke patients (145 ischemic, 54 hemorrhagic). Seventy-two (36.2%) were treated with modafinil and 129 (64.8%) were discharged to acute inpatient rehabilitation, while none were recommended for discharge home. Median NIHSS for modafinil patients was 13.5 versus 11 for standard care patients (P = .059). In adjusted models, modafinil was associated with higher odds of favorable discharge disposition (OR 2.00, 95% CI 1.01-3.95). Favorable outcome at 90 days defined as mRS less than or equal to 2 occurred more frequently with modafinil (5.6% versus 3.3%) but this did not achieve statistical significance (P > .1). These results occurred despite the modafinil group requiring longer ICU stays and having more in-hospital complications such as infections and need for percutaneous gastrostomy tubes. The benefit of modafinil was seen across all subgroups except those with severe stroke (NIHSS ≥ 15). There were no significant adverse events associated with modafinil administration. CONCLUSIONS: Modafinil use in acute in-hospital stroke patients with moderate stroke complicated by lethargy and fatigue was associated with improved discharge disposition. Randomized controlled trials are needed to further study the safety, efficacy, and long-term effects of modafinil in this patient population.

Feasibility and Validity of a Low-Cost Racing Simulator in Driving Assessment after Stroke.

There is a myriad of methodologies to assess driving performance after a stroke. These include psychometric tests, driving simulation, questionnaires, and/or road tests. Research-based driving simulators have emerged as a safe, convenient way to assess driving performance after a stroke. Such traditional research simulators are useful in recreating street traffic scenarios, but are often expensive, with limited physics models and graphics rendering. In contrast, racing simulators developed for motorsport professionals and enthusiasts offer high levels of realism, run on consumer-grade hardware, and can provide rich telemetric data. However, most offer limited simulation of traffic scenarios. This pilot study compares the feasibility of research simulation and racing simulation in a sample with minor stroke. We determine that the racing simulator is tolerated well in subjects with a minor stroke. There were correlations between research and racing simulator outcomes with psychometric tests associated with driving performance, such as the Trails Making Test Part A, Snellgrove Maze Task, and the Motricity Index. We found correlations between measures of driving speed on a complex research simulator scenario and racing simulator lap time and maximum tires off track. Finally, we present two models, using outcomes from either the research or racing simulator, predicting road test failure as linked to a previously published fitness-to-drive calculator that uses psychometric screening.

Safety and Efficacy of Acute Clopidogrel Load in Patients with Moderate and Severe Ischemic Strokes.

Objective. To study the safety and efficacy of a clopidogrel loading dose in patients with moderate and severe acute ischemic strokes. Background. The safety of clopidogrel loading has been extensively investigated in patients with minor strokes and transient ischemic attacks. Methods. Acute ischemic stroke patients presenting consecutively to our center from 07/01/08 to 07/31/13 were screened. Clopidogrel loading was defined as at least 300 mg dose (with or without aspirin) given within 6 hours of admission. We compared outcomes in patients with baseline NIHSS > 3 with and without clopidogrel loading. Results. Inclusion criteria were met for 1011 patients (43.6% females, 69.1% black, median age 63). Patients with clopidogrel loading had lower baseline NIHSS than patients who were not loaded (8 versus 9, p = 0.005). The two groups had similar risk for hemorrhagic transformation (p = 0.918) and symptomatic hemorrhage (p = 0.599). Patients who were loaded had a lower rate of neurological worsening (38.9% versus 48.3%, p = 0.031) and less in-hospital mortality (4.3% versus 13.4%, p = 0.001) compared to those who were not loaded. The likelihood of having a poor functional outcome did not differ between the two groups after adjusting for NIHSS on admission (OR = 0.71, 95% CI 0.4633-1.0906, p = 0.118). Conclusion. Clopidogrel loading dose was not associated with increased risk for hemorrhagic transformation or symptomatic intracranial hemorrhage in our retrospective study and was associated with reduced rates of neuroworsening following moderate and severe stroke.

Left Atrial Enlargement on Transthoracic Echocardiography Predicts Left Atrial Thrombus on Transesophageal Echocardiography in Ischemic Stroke Patients.

Background. Transesophageal echocardiogram (TEE) is superior to transthoracic echocardiogram (TTE) in detecting left atrial thrombus (LAT), a risk factor for stroke, but is costly and invasive, carrying a higher risk for complications. Aims. To determine the utility of using left atrial enlargement (LAE) on TTE to predict LAT on TEE. Methods. AIS patients who presented in 06/2008-7/2013 and underwent both TTE and TEE were identified from our prospective stroke registry. Analysis consisted of multivariate logistic regression with propensity score adjustment and receiver operating characteristic (ROC) area under the curve (AUC) analyses. Results. 219 AIS patients underwent both TTE and TEE. LAE on TTE was detected in 113 (51.6%) of AIS patients. Patients with LAE on TTE had higher proportion of LAT on TEE (8.4% versus 1.0%, p = 0.018). LAE on TTE predicted increased odds of LAT on TEE (OR = 8.83, 95% CI 1.04-74.83, p = 0.046). The sensitivity and specificity for LAT on TEE by LAE on TEE were 88.89% and 52.20%, respectively (AUC = 0.7054, 95% CI 0.5906-0.8202). Conclusions. LAE on TTE can predict LAT detected on TEE in nearly 90% of patients. This demonstrates the utility of LAE on TTE as a potential screening tool for LAT, potentially limiting unneeded costs and complications associated with TEE.

Highly incomplete taxa can rescue phylogenetic analyses from the negative impacts of limited taxon sampling.

BACKGROUND: Phylogenies are essential to many areas of biology, but phylogenetic methods may give incorrect estimates under some conditions. A potentially common scenario of this type is when few taxa are sampled and terminal branches for the sampled taxa are relatively long. However, the best solution in such cases (i.e., sampling more taxa versus more characters) has been highly controversial. A widespread assumption in this debate is that added taxa must be complete (no missing data) in order to save analyses from the negative impacts of limited taxon sampling. Here, we evaluate whether incomplete taxa can also rescue analyses under these conditions (empirically testing predictions from an earlier simulation study). METHODOLOGY/PRINCIPAL FINDINGS: We utilize DNA sequence data from 16 vertebrate species with well-established phylogenetic relationships. In each replicate, we randomly sample 4 species, estimate their phylogeny (using bayesian, likelihood, and parsimony methods), and then evaluate whether adding in the remaining 12 species (which have 50, 75, or 90% of their data replaced with missing data cells) can improve phylogenetic accuracy relative to analyzing the 4 complete taxa alone. We find that in those cases where sampling few taxa yields an incorrect estimate, adding taxa with 50% or 75% missing data can frequently (>75% of relevant replicates) rescue bayesian and likelihood analyses, recovering accurate phylogenies for the original 4 taxa. Even taxa with 90% missing data can sometimes be beneficial. CONCLUSIONS: We show that adding taxa that are highly incomplete can improve phylogenetic accuracy in cases where analyses are misled by limited taxon sampling. These surprising empirical results confirm those from simulations, and show that the benefits of adding taxa may be obtained with unexpectedly small amounts of data. These findings have important implications for the debate on sampling taxa versus characters, and for studies attempting to resolve difficult phylogenetic problems.