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De Novo Aneurysm Formation in Carriers of Saccular Intracranial Aneurysm Disease in Eastern Finland Clinical Sciences
Conclusions— Patients aged < 40 years at the first sIA diagnosis are in a significant risk of developing de novo sIAs, and they should be scheduled for long-term angiographic follow-up. Smoking increases the risk of de novo sIA formation, suggesting long-term follow-up for smokers. Antismoking efforts are highly recommended for sIA patients.
Source: Stroke - April 24, 2016 Category: Neurology Authors: Lindgren, A. E., Raisanen, S., Bjorkman, J., Tattari, H., Huttunen, J., Huttunen, T., Kurki, M. I., Frosen, J., Koivisto, T., Jaaskelainen, J. E., von und zu Fraunberg, M. Tags: Clinical Studies, Epidemiology, Risk Factors, Cerebral Aneurysm, Intracranial Hemorrhage Clinical Sciences Source Type: research

Polycystic kidney disease among 4,436 intracranial aneurysm patients from a defined population
Conclusions: Subarachnoid hemorrhage occurs at younger age and from smaller IAs in patients with ADPKD and risk for de novo IAs is higher than in the general Eastern Finnish population. ADPKD should be considered as an indicator for long-term angiographic follow-up in patients with diagnosed IAs.
Source: Neurology - October 30, 2017 Category: Neurology Authors: Nurmonen, H. J., Huttunen, T., Huttunen, J., Kurki, M. I., Helin, K., Koivisto, T., von und zu Fraunberg, M., Jääskeläinen, J. E., Lindgren, A. E. Tags: Stroke in young adults, Cohort studies, Subarachnoid hemorrhage, All Genetics ARTICLE Source Type: research

Multimodal Optical Diagnostics of the Microhaemodynamics in Upper and Lower Limbs
Conclusion The use of optical non-invasive diagnostic methods has a great potential for the detection of concomitant microcirculation disorders in patients with rheumatic diseases and diabetes. In this review, it was shown that the use of laser Doppler flowmetry, optical tissue oximetry and fluorescence spectroscopy together or separately may have important diagnostic value for the detection of violations, assessment of their severity, as well as for the analysis of the effectiveness of the therapy. The joint application of the considered technologies with the methods of machine learning (discriminant analysis) can be use...
Source: Frontiers in Physiology - April 15, 2019 Category: Physiology Source Type: research