- MeSH
- alergická rýma * farmakoterapie MeSH
- algoritmy MeSH
- bronchiální astma * MeSH
- lidé MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
Retinal oximetry imaging of retinal blood vessels measures oxygen saturation of hemoglobin. The imaging technology is non-invasive and reproducible with remarkably low variability on test-retest studies and in healthy cohorts. Pathophysiological principles and novel biomarkers in several retinal diseases have been discovered, as well as possible applications for systemic and brain disease. In diabetic retinopathy, retinal venous oxygen saturation is elevated and arteriovenous difference progressively reduced in advanced stages of retinopathy compared with healthy persons. This correlates with pathophysiology of diabetic retinopathy where hypoxia stimulates VEGF production. Laser treatment and vitrectomy both improve retinal oximetry values, which correlate with clinical outcome. The oximetry biomarker may allow automatic measurement of severity of diabetic retinopathy and predict its response to treatment. Central retinal vein occlusion is characterized by retinal hypoxia, which is evident in retinal oximetry. The retinal hypoxia seen on oximetry correlates with the extent of peripheral ischemia, visual acuity and thickness of macular edema. This biomarker may help diagnose and measure severity of vein occlusion and degree of retinal ischemia. Glaucomatous retinal atrophy is associated with reduced oxygen consumption resulting in reduced arteriovenous difference and higher retinal venous saturation. The oximetry findings correlate with worse visual field, thinner nerve fiber layer and smaller optic disc rim. This provides an objective biomarker for glaucomatous damage. In retinitis pigmentosa, an association exists between advanced atrophy, worse visual field and higher retinal venous oxygen saturation, lower arteriovenous difference. This biomarker may allow measurement of severity and progression of retinitis pigmentosa and other atrophic retinal diseases. Retinal oximetry offers visible light imaging of systemic and central nervous system vessels. It senses hypoxia in cardiac and pulmonary diseases. Oximetry biomarkers have been discovered in Alzheimer's disease and multiple sclerosis and oxygen levels in the retina correspond well with brain.
- MeSH
- kyslík krev MeSH
- lidé MeSH
- mozkový krevní oběh fyziologie MeSH
- nemoci mozku diagnostické zobrazování patofyziologie MeSH
- nemoci retiny diagnostické zobrazování patofyziologie MeSH
- oxymetrie * MeSH
- retinální cévy patofyziologie MeSH
- zraková ostrost MeSH
- zraková pole MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
Standardized terminology for computer-based assessment and reporting of EEG has been previously developed in Europe. The International Federation of Clinical Neurophysiology established a taskforce in 2013 to develop this further, and to reach international consensus. This work resulted in the second, revised version of SCORE (Standardized Computer-based Organized Reporting of EEG), which is presented in this paper. The revised terminology was implemented in a software package (SCORE EEG), which was tested in clinical practice on 12,160 EEG recordings. Standardized terms implemented in SCORE are used to report the features of clinical relevance, extracted while assessing the EEGs. Selection of the terms is context sensitive: initial choices determine the subsequently presented sets of additional choices. This process automatically generates a report and feeds these features into a database. In the end, the diagnostic significance is scored, using a standardized list of terms. SCORE has specific modules for scoring seizures (including seizure semiology and ictal EEG patterns), neonatal recordings (including features specific for this age group), and for Critical Care EEG Terminology. SCORE is a useful clinical tool, with potential impact on clinical care, quality assurance, data-sharing, research and education.
BACKGROUND: Glucokinase diabetes, also called GCK-MODY or maturity-onset diabetes of the young type 2 (MODY2), is caused by heterozygous mutations in the gene encoding glucokinase (GCK). Objective: The aim of study was to investigate the current prevalence of GCK mutations in a large cohort of Czech patients with typical clinical appearance of GCK-MODY. In addition, we reanalyzed the negative results obtained previously by screening using the denaturing high-performance liquid chromatography (dHPLC). METHODS: We studied 140 unrelated Czech probands with clinical picture of GCK-MODY who were referred to our center from the whole of the Czech Republic between the years 1999-2009 by direct sequencing of GCK gene. RESULTS: A mutation in GCK was identified in 103 of 140 probands (74%). We identified 46 different GCK mutations of which 13 were novel. Several mutations were detected in multiple families: p.Glu40Lys (20 families), p.Gly318Arg (12), p.Leu315His (7) and p.Val33Ala (six families). Direct sequencing detected a GCK mutations in 9 of 20 previously dHPLC-negative samples; the sensitivity of the dHPLC screening was calculated as 84%. CONCLUSIONS: The study shows a relatively high proportion of GCK mutations among individuals with GCK-like phenotype, confirming the effectiveness of carefully applied clinical criteria prior to genetic testing. In the Czech MODY registry, GCK-MODY represents the biggest subgroup of MODY (35%). We report several prevalent GCK mutations with a likely founder effect in the Czech population. Furthermore, our results provide ground for a possible recommendation to reinspect all negative results previously obtained by screening using dHPLC.
- MeSH
- denaturace proteinů MeSH
- diabetes mellitus 2. typu genetika MeSH
- dítě MeSH
- glukokinasa genetika MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mutace MeSH
- prevalence MeSH
- vysokoúčinná kapalinová chromatografie metody MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Česká republika MeSH
