MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-mapping at high field.

The large spatial inhomogeneity in transmit B(1) field (B(1)(+)) observable in human MR images at high static magnetic fields (B(0)) severely impairs image quality. To overcome this effect in brain T(1)-weighted images, the MPRAGE sequence was modified to generate two different images at different inversion times, MP2RAGE. By combining the two images in a novel fashion, it was possible to create T(1)-weighted images where the result image was free of proton density contrast, T(2) contrast, reception bias field, and, to first order, transmit field inhomogeneity. MP2RAGE sequence parameters were optimized using Bloch equations to maximize contrast-to-noise ratio per unit of time between brain tissues and minimize the effect of B(1)(+) variations through space. Images of high anatomical quality and excellent brain tissue differentiation suitable for applications such as segmentation and voxel-based morphometry were obtained at 3 and 7 T. From such T(1)-weighted images, acquired within 12 min, high-resolution 3D T(1) maps were routinely calculated at 7 T with sub-millimeter voxel resolution (0.65-0.85 mm isotropic). T(1) maps were validated in phantom experiments. In humans, the T(1) values obtained at 7 T were 1.15+/-0.06 s for white matter (WM) and 1.92+/-0.16 s for grey matter (GM), in good agreement with literature values obtained at lower spatial resolution. At 3 T, where whole-brain acquisitions with 1 mm isotropic voxels were acquired in 8 min, the T(1) values obtained (0.81+/-0.03 s for WM and 1.35+/-0.05 for GM) were once again found to be in very good agreement with values in the literature.

The presence of a CD4+ CD25high CD45RO+ CD127high T-cell population correlates with the clinical status of kidney transplant recipients

Background: Recent data have suggested that a population of CD4+ CD25high T cells, phenotypically characterized by the expression of CD45RO and CD127, is significantly expanded in stable liver and kidney transplant recipients and represents alloreactive T cells. We analyzed this putative new alloreactive cellular marker in various groups of kidney transplant recipients. Patients and methods: Flow cytometry was used to analyze the expression of CD25, CD45RO and CD127 on peripheral CD4+ T cells. Of 73 kidney recipients, 59 had a stable graft function under standard immunosuppressive therapy (IS), 5 had biopsy-proven chronic humoral rejection (CHR), 8 were stable under minimal IS and one was an operationally "tolerant" patient who had discontinued IS for more than 3 years. Sixty-six healthy subjects (HS) were studied as controls. Results: Overall, the alloreactive T cell population was found to be significantly increased in the 73 kidney recipients (mean ± SE: 15.03 ± 1.04% of CD4+ CD25high T cells) compared to HS (5.93 ± 0.39%) (p <0.001). In the 5 patients with CHR, this population was highly expanded (31.33 ± 4.16%), whereas it was comparable to HS in the 8 stable recipients receiving minimal IS (6.12 ± 0.86%), in 4 patients who had been switched to sirolimus (4.21 ± 0.53%) as well as in the unique "tolerant" recipient (4.69%). Intermediate levels (15.84 ± 0.93%) were found in the 55 recipients with stable graft function on standard CNI-based IS. Regulatory T cells, defined as CD4+ CD25high FoxP3+ CD127low, were found to be significantly reduced in all recipients except in those with minimal or no IS, and this reduction was particularly striking in recipients with CHR. Conclusion: After kidney transplantation, an alloreactive T cell population was found to be significantly expanded and it correlates with the clinical status of the recipients. Interestingly, in stable patients with minimal (or no) IS as well as in patients on sirolimus, alloreactive T cells were comparable the healthy controls. Measuring circulating CD4+ CD25high CD45RO+ CD127high T cells may become a useful monitoring tool after transplantation.

Stroke initial severity and outcome relative to insurance status in a universal health care system in Switzerland.

BACKGROUND:  Socioeconomic status is thought to have a significant influence on stroke incidence, risk factors and outcome. Its influence on acute stroke severity, stroke mechanisms, and acute recanalisation treatment is less known. METHODS:  Over a 4-year period, all ischaemic stroke patients admitted within 24 h were entered prospectively in a stroke registry. Data included insurance status, demographics, risk factors, time to hospital arrival, initial stroke severity (NIHSS), etiology, use of acute treatments, short-term outcome (modified Rankin Scale, mRS). Private insured patients (PI) were compared with basic insured patients (BI). RESULTS:  Of 1062 consecutive acute ischaemic stroke patients, 203 had PI and 859 had BI. They were 585 men and 477 women. Both populations were similar in age, cardiovascular risk factors and preventive medications. The onset to admission time, thrombolysis rate, and stroke etiology according to TOAST classification were not different between PI and BI. Mean NIHSS at admission was significantly higher for BI. Good outcome (mRS ≤ 2) at 7 days and 3 months was more frequent in PI than in BI. CONCLUSION:  We found better outcome and lesser stroke severity on admission in patients with higher socioeconomic status in an acute stroke population. The reason for milder strokes in patients with better socioeconomic status in a universal health care system needs to be explained.

Intravenous Lacosamide for Treatment of Status Epilepticus after Failing First-Line Therapy

Rationale: Treatment of status epilepticus (SE) usually requires intravenous anticonvulsant therapy. Although there are established drugs of first choice for its treatment, potentially hazardous side effects of these agents are not uncommon. Lacosamide (LCM) is a novel anticonvulsant drug that is available as infusion solution. LCM could be an alternative for treatment of SE when the standard drugs fail or should be avoided. Methods: We retrospectively identified patients from the hospital databases of two German and one Swiss neurological departments (University Hospital Marburg, Klinikum Osnabrueck, University Hospital Lausanne) between September 1st 2008 and May 22nd 2009 who were admitted because of SE and received at least one dose of intravenous LCM for treatment of SE. Results: Seventeen patients (11 female, 6 male) were identified. Median age was 71 years. 3 patients suffered from generalized convulsive SE, 8 patients had significant reduction of awareness with or without subtle motor symptoms, 6 patients had a simple focal status without relevant reduction of awareness. Etiology was acute symptomatic in 5 patients, remote symptomatic without pre-existing epilepsy in 6 patients, remote symptomatic and pre-existing epilepsy in 5 patients, and unknown in 1 patient. LCM was administered after failure of first line therapy in all cases. The first LCM bolus was 400mg in 13 patients and 200mg in 4 patients. LCM administration stopped SE in 7 patients. In 2 of them, LCM was administered immediately after benzodiazepine administration, in the others after failure of benzodiazepines and other first-line and/or second-line drugs. In 3 patients, SE was terminated by other anticonvulsants like Phenytoin, Phenobarbital or Oxcarbazepine. In 5 patients, SE could only be terminated by intubation and application of high-dose Midazolam, Propofol and/or Thiopental. In 2 patients, SE could not be terminated in spite of high doses of barbiturates. There was no serious adverse event documented that could possibly be attributed to LCM Conclusions: Intravenous LCM may be an alternative treatment for SE after failure of benzodiazepins and other established drugs, or when such agents are considered unsuitable.

Examining non-response bias in substance use research-Are late respondents proxies for non-respondents?

BACKGROUND: Non-response is a major concern among substance use epidemiologists. When differences exist between respondents and non-respondents, survey estimates may be biased. Therefore, researchers have developed time-consuming strategies to convert non-respondents to respondents. The present study examines whether late respondents (converted former non-participants) differ from early respondents, non-consenters or silent refusers (consent givers but non-participants) in a cohort study, and whether non-response bias can be reduced by converting former non-respondents. METHODS: 6099 French- and 5720 German-speaking Swiss 20-year-old males (more than 94% of the source population) completed a short questionnaire on substance use outcomes and socio-demographics, independent of any further participation in a cohort study. Early respondents were those participating in the cohort study after standard recruitment procedures. Late respondents were non-respondents that were converted through individual encouraging telephone contact. Early respondents, non-consenters and silent refusers were compared to late respondents using logistic regressions. Relative non-response biases for early respondents only, for respondents only (early and late) and for consenters (respondents and silent refusers) were also computed. RESULTS: Late respondents showed generally higher patterns of substance use than did early respondents, but lower patterns than did non-consenters and silent refusers. Converting initial non-respondents to respondents reduced the non-response bias, which might be further reduced if silent refusers were converted to respondents. CONCLUSION: Efforts to convert refusers are effective in reducing non-response bias. However, converted late respondents cannot be seen as proxies of non-respondents, and are at best only indicative of existing response bias due to persistent non-respondents.

Random measurement error and regression dilution bias.

Summary points: - The bias introduced by random measurement error will be different depending on whether the error is in an exposure variable (risk factor) or outcome variable (disease) - Random measurement error in an exposure variable will bias the estimates of regression slope coefficients towards the null - Random measurement error in an outcome variable will instead increase the standard error of the estimates and widen the corresponding confidence intervals, making results less likely to be statistically significant - Increasing sample size will help minimise the impact of measurement error in an outcome variable but will only make estimates more precisely wrong when the error is in an exposure variable