Socioeconomic determinants of prostate-specific antigen testing and estimation of the prevalence of undiagnosed prostate cancer in an elderly Polish population based on the PolSenior study

Introduction: Socioeconomic determinants of prostate-specific antigen (PSA) testing and prevalence of undiagnosed prostate cancer (PCa) in the Polish population are poorly understood. The aim of this study was to identify factors associated with PSA testing in elderly Polish men, and estimate the size of the population at risk of PCa related to PSA non-testing. Material and methods: We analyzed questionnaire-derived data concerning PSA testing, obtained in 2567 elderly and 332 younger (age: 55-59) participants of the population-based PolSenior study. Additionally, PSA was measured in 2414 subjects. Results: The PSA had previously been tested in 41.2% of elderly and in 24.8% of younger participants. Non-smoking status (OR = 2.06, p < 0.001), higher personal income (OR = 1.56, p < 0.001), better education (OR = 1.49, p = 0.001), previous white-collar work (OR = 1.37, p = 0.005), alcohol abstinence (OR = 1.28, p = 0.02), married status (OR = 1.24, p = 0.04), dependence in Instrumental Activities of Daily Living (IADL) but not in Activities of Daily Living (ADL) (OR = 0.65, p < 0.001), and dependence in ADL (OR = 0.55, p < 0.001) were independent predictors of previous PSA testing in elderly participants. There were 31 elderly previously treated for PCa (calculated standardized prevalence: 935 per 100,000 elderly population). The PSA levels > 4 ng/ml were found in 12.8% of 65-74-year-old and 4.5% of 55–59-year-old previously non-tested participants. We calculated the standardized prevalence rate of undiagnosed PCa as approximately 1370 and 2352 cases per 100,000 population aged 55-59 and 65-74 years, respectively. Conclusions: In Poland, 58.8% of elderly men have never had PSA tested. These were less likely to be functionally independent, married, better educated, non-smokers or to have previous office employment or higher than average personal income. Our data suggest substantial underdiagnosis of prostate cancer among Polish men

Alzheimer's disease - a review of medicinal substances and their derivatives

Alzheimer’s disease (AD) is a neurodegenerative disorder. Although the first case of Alzheimer’s disease was recorded over a century ago, the etiology of the disease remains unknown. There are several hypotheses regarding the process of neurodegeneration, however, it is impossible to provide a specific cause of Alzheimer’s disease in humans, due to the lack of in vivo models. Only a few specific changes in the body occurring in the course of this disease have been described so far, and no effective drugs have been developed to stop its progression. The effect of the currently used drugs is limited only to improving the cognitive functions and general patients’ well-being. Four medicinal substances have been approved for the treatment of Alzheimer's disease so far, namely, donepezil, rivastigmine, galantamine, and memantine. In this article, a brief description of marketed drugs used for the treatment of Alzheimer's disease is presented as well as selected substances in phase III clinical trials. Moreover, a strategy of multifunctional ligands along with a description of the activity of selected compounds containing in their structure a moiety of one of the drugs used in the treatment of Alzheimer’s disease, namely, donepezil, rivastigmine, or galantamine, is presented in the paper. Selected compounds synthesized over the last five years are described. Taking into account the multifactorial nature of Alzheimer's disease, the multifunctional ligands strategy directed at more than one biological target is used by many research groups. A large group of multi-target ligands is based on derivatives containing in their structure a moiety of selected acetylcholinesterase inhibitors. These moieties are combined with various types of compounds with known biological activity. As a result, derivatives with multi-target effects are obtained, mainly cholinesterase inhibitory properties and inhibition of the β-amyloid aggregation process, as well as antioxidant and neuroprotective effects

DigiCam - Fully Digital Compact Read-out and Trigger Electronics for the SST-1M Telescope proposed for the Cherenkov Telescope Array

The SST-1M is one of three prototype small-sized telescope designs proposed for the Cherenkov Telescope Array, and is built by a consortium of Polish and Swiss institutions. The SST-1M will operate with DigiCam - an innovative, compact camera with fully digital read-out and trigger electronics. A high level of integration will be achieved by massively deploying state-of-the-art multi-gigabit transmission channels, beginning from the ADC flash converters, through the internal data and trigger signals transmission over backplanes and cables, to the camera's server link. Such an approach makes it possible to design the camera to fit the size and weight requirements of the SST-1M exactly, and provide low power consumption, high reliability and long lifetime. The structure of the digital electronics will be presented, along with main physical building blocks and the internal architecture of FPGA functional subsystems.Comment: In Proceedings of the 34th International Cosmic Ray Conference (ICRC2015), The Hague, The Netherlands. All CTA contributions at arXiv:1508.0589

Using muon rings for the optical throughput calibration of the SST-1M prototype for the Cherenkov Telescope Array

Imaging Atmospheric Cherenkov Telescopes (IACTs) are ground-based instruments devoted to the study of very high energy gamma-rays coming from space. The detection technique consists of observing images created by the Cherenkov light emitted when gamma rays, or more generally cosmic rays, propagate through the atmosphere. While in the case of protons or gamma-rays the images present a filled and more or less elongated shape, energetic muons penetrating the atmosphere are visualised as characteristic circular rings or arcs. A relatively simple analysis of the ring images allows the reconstruction of all the relevant parameters of the detected muons, such as the energy, the impact parameter, and the incoming direction, with the final aim to use them to calibrate the total optical throughput of the given IACT telescope. We present the results of preliminary studies on the use of images created by muons as optical throughput calibrators of the single mirror small size telescope prototype SST-1M proposed for the Cherenkov Telescope Array.Comment: In Proceedings of the 34th International Cosmic Ray Conference (ICRC2015), The Hague, The Netherlands. All CTA contributions at arXiv:1508.0589

Global variations in diabetes mellitus based on fasting glucose and haemogloblin A1c

Fasting plasma glucose (FPG) and haemoglobin A1c (HbA1c) are both used to diagnose diabetes, but may identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening had elevated FPG, HbA1c, or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardised proportion of diabetes that was previously undiagnosed, and detected in survey screening, ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the agestandardised proportion who had elevated levels of both FPG and HbA1c was 29-39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global gap in diabetes diagnosis and surveillance.peer-reviewe

General and abdominal adiposity and hypertension in eight world regions: a pooled analysis of 837 population-based studies with 7·5 million participants

Background Adiposity can be measured using BMI (which is based on weight and height) as well as indices of abdominal adiposity. We examined the association between BMI and waist-to-height ratio (WHtR) within and across populations of different world regions and quantified how well these two metrics discriminate between people with and without hypertension. Methods We used data from studies carried out from 1990 to 2023 on BMI, WHtR and hypertension in people aged 20–64 years in representative samples of the general population in eight world regions. We graphically compared the regional distributions of BMI and WHtR, and calculated Pearson’s correlation coefficients between BMI and WHtR within each region. We used mixed-effects linear regression to estimate the extent to which WHtR varies across regions at the same BMI. We graphically examined the prevalence of hypertension and the distribution of people who have hypertension both in relation to BMI and WHtR, and we assessed how closely BMI and WHtR discriminate between participants with and without hypertension using C-statistic and net reclassification improvement (NRI). Findings The correlation between BMI and WHtR ranged from 0·76 to 0·89 within different regions. After adjusting for age and BMI, mean WHtR was highest in south Asia for both sexes, followed by Latin America and the Caribbean and the region of central Asia, Middle East and north Africa. Mean WHtR was lowest in central and eastern Europe for both sexes, in the high-income western region for women, and in Oceania for men. Conversely, to achieve an equivalent WHtR, the BMI of the population of south Asia would need to be, on average, 2·79 kg/m² (95% CI 2·31–3·28) lower for women and 1·28 kg/m² (1·02–1·54) lower for men than in the high-income western region. In every region, hypertension prevalence increased with both BMI and WHtR. Models with either of these two adiposity metrics had virtually identical C-statistics and NRIs for every region and sex, with C-statistics ranging from 0·72 to 0·81 and NRIs ranging from 0·34 to 0·57 in different region and sex combinations. When both BMI and WHtR were used, performance improved only slightly compared with using either adiposity measure alone. Interpretation BMI can distinguish young and middle-aged adults with higher versus lower amounts of abdominal adiposity with moderate-to-high accuracy, and both BMI and WHtR distinguish people with or without hypertension. However, at the same BMI level, people in south Asia, Latin America and the Caribbean, and the region of central Asia, Middle East and north Africa, have higher WHtR than in the other regions