The 2013 ACC/AHA Cholesterol Treatment Guidelines: Applicability to Patients with Diabetes

Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of death worldwide and the management of blood cholesterol is a cornerstone of medical therapy for the primary and secondary prevention of cardiovascular disease. Patients with diabetes represent an important high-risk group in whom clinicians should advocate the use of statins and lifestyle modification for the reduction of ASCVD. The recent 2013 ACC/AHA guidelines on managing blood cholesterol provide an important framework for the effective implementation of this important risk reduction strategy. The guidelines identify four groups of individuals who have been shown to benefit from statin therapy and update the dosing and monitoring recommendations based on evidence from published, large-scale randomized controlled trials (RCTs) with clinical hard endpoints. Primary care physicians and specialists play key roles in identifying populations at elevated ASCVD risk and providing effective care for patients, especially those with diabetes. This article will summarize the 2013 ACC/AHA guidelines on managing blood cholesterol and provide a practical management overview in order to facilitate implementation of these guidelines for patients with diabetes.     

Concomitant coronary artery disease and its management in patients referred to transcatheter aortic valve implantation: Insights from the POL‐TAVI Registry

• The femoropopliteal (FP) artery is a common site for endovascular interventions.
• S.M.A.R.T.® stent is effective in treating FP lesions with results comparable to other treatment options.
• Without head‐to‐head randomized controlled trials, the ideal treatment strategy for FP lesions remains unknown.

     

IL-11 facilitates a novel connection between RA joint fibroblasts and endothelial cells

IL-11 has been detected in inflamed joints; however, its role in the pathogenesis of arthritis is not yet clear. Studies were conducted to characterize the expression and functional significance of IL-11 and IL-11Rα in rheumatoid arthritis (RA). IL-11 levels were elevated in RA synovial fluid (SF) compared to osteoarthritis (OA) SF and plasma from RA, OA and normal individuals (NLs). Morphologic studies established that IL-11 was detected in lining fibroblasts and macrophages in addition to sublining endothelial cells and macrophages at higher levels in RA compared to NL synovial tissues. Since IL-11Rα was exclusively expressed in RA fibroblasts and endothelial cells, macrophages were not involved in IL-11 effector function. Ligation of IL-11 to IL-11Rα strongly provoked fibroblast infiltration into RA joint, while cell proliferation was unaffected by this process. Secretion of IL-8 and VEGF from IL-11 activated RA fibroblasts was responsible for the indirect effect of IL-11 on endothelial cell transmigration and tube formation. Moreover, IL-11 blockade impaired RA SF capacity to elicit endothelial cell transmigration and tube formation. We conclude that IL-11 binding to endothelial IL-11Rα can directly induce RA angiogenesis. In addition, secretion of proangiogenic factors from migrating fibroblasts potentiated by IL-11 can indirectly contribute to RA neovascularization.     

Combining advanced neuroimaging techniques in presurgical workup of non-lesional intractable epilepsy.

PURPOSE: The rationale for this case report is to assess the degree of congruency between the results of several advanced functional, metabolic, and structural neuroimaging techniques used in patients with MRI-negative focal epilepsy. METHODS: We investigated the presurgical evaluation and post-operative outcome of a patient with intractable, extratemporal epilepsy. Because the habitual seizures in this patient could be easily induced, six, advanced, neurodiagnostic techniques were successively applied (SISCOM, ictal FDG-PET, ictal fMRI, postictal diffusion-weighted imaging, voxel-based morphometry, and MRS imaging). RESULTS: The findings for the neuroimaging methods investigated, within the left central region, were fairly congruent. Subsequent, invasive EEG recordings revealed a seizure-onset zone at the site where most of the neuroimaging had shown abnormal findings. The surgical removal of the epileptogenic zone, as defined by concordant neuroimaging and SEEG data, resulted in seizure-free postoperative outcome. Histopathological findings revealed mild focal cortical dysplasia. CONCLUSION: Great efforts should be made to combine most of the advanced neuroimaging methods in the preoperative assessment of non-lesional epilepsy surgery candidates.     

Correlates of Negative Attitudes towards Medication in People with Schizophrenia

Attitudes towards psychiatric medication are an important factor influencing the success of treatment. Mental health care in the region of Central and Eastern Europe remains biologically oriented, yet the attitudes of people with severe mental illnesses are largely unknown. In the present study, we aimed to analyze factors of attitudes toward psychopharmacological drugs among people with schizophrenia spectrum disorder who use community social services in the Czech Republic. Drug Attitude Inventory (DAI) was used as a primary research instrument and data were analyzed using a multivariable linear regression. The majority of respondents (78%) had positive attitudes towards psychopharmacological treatment. Additionally, attitudes towards psychopharmaceutic drugs did not differ with regard to sociodemographic characteristics except for family status. There was a significant negative correlation with the level of self-stigmatization and a significant positive correlation with the duration of treatment. Respondents who had repeated experiences with discontinuation of medication without a prior consultation with a psychiatrist had significantly worse attitudes towards medication than respondents without this experience. This study revealed evidence of a strong relationship between the attitudes toward medication and a history of discontinuation of taking medication and duration of treatment. Therefore, we suggest that interventions focused preventing the internalization of stigmatizing attitudes towards mental illness should be available to people with schizophrenia spectrum disorder, especially in the early stages of the illness – irrespective of the patient’s age.

     

A test of the role of two prefrontal/ subcortical networks in the ��sequencing�� of non-motor, visuo-spatial information

There are a number of prefrontal/sub-cortical networks in the brain (e.g., cerebellar-thalamic-prefrontal or basal ganglia/supplementary motor cortex circuits) that despite having a clear role in motor function have been shown to be involved in non-motor tasks. In this project we test for the involvement of these networks in a dimensional judgment task that utilizes visual perceptual, visual spatial processing and requires the ordering of dimensional (height) information. Unlike previous studies examining non-motor sequencing, we directly compare both non-motor and motor versions of our dimensional judgment task. In addition, we examine activation uniquely associated with correct task responses. The findings provide evidence for the role of cortical not subcortical structures in the sequencing of visuo-spatial material apart from any motor output requirements. Our results suggest that the inferior parietal cortex (BA 7, 40) and medial frontal regions (BA 6, 8, 9 including the SMA) are instrumental to the task. Based on these results, we propose a prefrontal/parietal network plays a role in the implementation of a comparator mechanism that makes accurate comparisons along the dimension of interest, holds the information in working memory, and then (regardless of whether the information is correct or incorrect) generates a tag or abstract code that assigns the information a place in an ordered sequence. Most important, the information involved can be visual/symbolic and non-motor (not just motor) in nature.     

The impact of subthalamic deep brain stimulation on polysomnographic sleep pattern in patients with Parkinson's disease – Preliminary report

Aim of the study

We present the preliminary results of the study focused on the impact of subthalamic deep brain stimulation (DBS-STN) on sleep and other non-motor symptoms (NMS).

Critical closing pressure determined with a model of cerebrovascular impedance

Critical closing pressure (CCP) is the arterial blood pressure (ABP) at which brain vessels collapse and cerebral blood flow (CBF) ceases. Using the concept of impedance to CBF, CCP can be expressed with brain-monitoring parameters: cerebral perfusion pressure (CPP), ABP, blood flow velocity (FV), and heart rate. The novel multiparameter method (CCPm) was compared with traditional transcranial Doppler (TCD) calculations of CCP (CCP1). Digital recordings of ABP, intracranial pressure (ICP), and TCD-based FV from previously published studies of 29 New Zealand White rabbits were reanalyzed. Overall, CCP1 and CCPm showed correlation across wide ranges of ABP, ICP, and PaCO2 (R=0.93, P<0.001). Three physiological perturbations were studied: increase in ICP (n=29) causing both CCP1 and CCPm to increase (P<0.001 for both); reduction of ABP (n=10) resulting in decrease of CCP1 (P=0.006) and CCPm (P=0.002); and controlled increase of PaCO2 (n=8) to hypercapnic levels, which decreased CCP1 and CCPm, albeit insignificantly (P=0.123 and P=0.306 respectively), caused by a spontaneous significant increase in ABP (P=0.025). Multiparameter mathematical model of critical closing pressure explains the relationship of CCP on brain-monitoring variables, allowing the estimation of CCP during cases such as hypercapnia-induced hyperemia, where traditional calculations, like CCP1, often reach negative non-physiological values.     

Suite of finite element algorithms for accurate computation of soft tissue deformation for surgical simulation

Real time computation of soft tissue deformation is important for the use of augmented reality devices and for providing haptic feedback during operation or surgeon training. This requires algorithms that are fast, accurate and can handle material nonlinearities and large deformations. A set of such algorithms is presented in this paper, starting with the finite element formulation and the integration scheme used and addressing common problems such as hourglass control and locking. The computation examples presented prove that by using these algorithms, real time computations become possible without sacrificing the accuracy of the results. For a brain model having more than 7000 degrees of freedom, we computed the reaction forces due to indentation with frequency of around 1000 Hz using a standard dual core PC. Similarly, we conducted simulation of brain shift using a model with more than 50,000 degrees of freedom in less than one minute. The speed benefits of our models result from combining the Total Lagrangian formulation with explicit time integration and low order finite elements.