Материалы Всероссийской научно-практической конференции с международным участием «ПРОФИЛАКТИЧЕСКАЯ МЕДИЦИНА – 2017»
Materials of the all-Russian scientific-practical conference with international participation
The study of clinical terminology has always occupied a significant place in the discipline "Latin language and outlines of medical terminology." Undoubtedly, surgical terminology is one of the most voluminous terminology in the clinical block. Moreover, there are a lot of terms used in it in other departments of the clinical direction, so-called "common" terms.
The concept of regression is considered with an emphasis on the differences between the positions of Freud and Jung regarding its significance. The paper discusses the results of experimental analyses of individual experience dynamics (from gene expression changes and impulse neuronal activity in animals to prosocial behaviour in healthy humans at different ages, and humans in chronic pain) in those situations where regression occurs: stress, disease, learning, highly emotional states and alcohol intoxication. Common mechanisms of regression in all these situations are proposed. The mechanisms of regression can be described as reversible dedifferentiation, which is understood as a relative increase of the representation of low-differentiated (older) systems in the actualized experience. In all of the cases of dedifferentiation mentioned above, the complexity of the systemic organization of behaviour significantly decreases.
Systemic lupus erythematosus is a systemic autoimmune disease for which a significant number of susceptibility genes have been identified. Several genome-wide association studies were recently published in different populations that provide a better picture of the molecular mechanisms. It is becoming clear that the genetic architecture of lupus is quite well established but more information is required on the role of rare variants.
The promising approaches to determining the rehabilitation potential of ischemic stroke (IS) patients include an assessment of the microstructural integrity of the brain matter by diffusion tensor imaging (DTI), the main indicator of which is fractional anisotropy (FA). The role of the intact hemisphere in the rehabilitation process after IS remains a controversial subject. The hypothesis for the investigation is that the development of a diffusion and perfusion model (DPM) based on the assessment of FA in combination with data on cerebral blood flow velocity (CBFV) and the impact of the focus will be able to predict the patients' neurological status by the end of the acute period of IS.
Objective: to investigate the role of diffusion and perfusion characteristics of the intact hemisphere in determining the rehabilitation potential in the acute period of IS and to develop a prognostic DPM.
Patients and methods. The investigation enrolled 100 patients with IS and 10 individuals in the control group. All the examinees underwent brain MRI. Perfusion-weighted sequence without bolus injection of a contrast agent was used to quantify CBFV in 10 areas according to the Alberta stroke program early CT score (ASPECTS). Values for FA in 10 areas of both hemispheres were calculated using DTI findings. Neurological and functional statuses were evaluated over time with the National Institute of Health Stroke Scale (NIHSS) and the modified Rankin scale.
Results. The NIHSS score at discharge was associated with FA and CBFV in 4 and 6 of the 10 areas of the intact hemisphere, respectively. DPM for predicting the rehabilitation potential included the key parameters correlating with a discharge NIHSS score (in order of decreasing the significance): admission NIHSS value (r = 0.55; p < 0.001), the size of a focus (r = 0.42; p < 0.001), FA in the contralateral cingulum bundle FA (r = -0.28; p = 0.007), and CBFV in M2 white matter [r = -0.24; p = 0.025; R2 = 0.642; p(F) <0.001].
Conclusion. In addition to the NIHSS score at admission, the size of a focus, DPM values (FA in the contralateral cingulum bundle and CBFV in the white matter) allow prediction of the rehabilitation potential in IS.
Data management and analysis is one of the fastest growing and most challenging areas of research and development in both academia and industry. Numerous types of applications and services have been studied and re-examined in this field resulting in this edited volume which includes chapters on effective approaches for dealing with the inherent complexity within data management and analysis. This edited volume contains practical case studies, and will appeal to students, researchers and professionals working in data management and analysis in the business, education, healthcare, and bioinformatics areas.