How does the risk of cardiovascular death and cardiovascular risk factor profiles differ between socioeconomic classes in Poland: A country in transition

Background: Socioeconomic status (SES) is an important factor for cardiovascular diseases (CVD) development. A decline in death rate from CVD among subjects with high SES is observed in developed countries. The aim of this study was to assess differences in cardiovascular risk (CV) between socioeconomic classes in Poland, a country currently in transition. Methods: A sample of 15,200 people was drawn. A three stage selection was performed. Eventually, 6170 patients were examined (2013/2014). Data was collected using a questionnaire in face-to-face interviews, anthropometric data and blood tests were also obtained. Education was categorized asincomplete secondary, secondary and higher than secondary school. Monthly income per person was categorized as low (≤ 1000 PLN), medium (1001–2000 PLN) and high (≥ 2001 PLN). Education and income groups were analyzed by prevalence of CVD risk factors and high CVD risk (SCORE ≥ 5%). Results: Higher education was associated with lower prevalence of all analyzed CVD risk factors (p < 0.001), having the highest income with lower prevalence of hypertension, currently smoking, obesity and lower high density lipoprotein cholesterol. Multivariable analysis showed that frequency of high CVD risk decreased with increasing education level (OR 0.61; 95% CI 0.49–0.76; p < 0.01), a similar favorable impact of higher income on high CVD risk was demonstrated in the whole group (OR 0.81; 95% CI 0.67–0.99; p = 0.04). Conclusions: Socioeconomic status is an independent predictor of high CV risk of death. A favorable impact on the prevalence of high CV risk was demonstrated for education and partly for income in the whole group. It may reflect a transition being undergone in Poland, moreover, it predicts how socioeconomic factors may generate health inequalities in other transitioning countries

Increased expression of the TNF superfamily member LIGHT/TNFSF14 and its receptors (HVEM and LTßR) in patients with systemic sclerosis

Objectives This study aimed to assess the potential role of the TNF superfamily member lymphocyte T-related inducible ligand that competes for glycoprotein D binding to herpesvirus entry mediator on T cells (LIGHT) in SSc through evaluation of: skin expression of LIGHT and its receptors, herpesvirus entry mediator and lymphotoxin ß-related receptor, and serum concentration of LIGHT in SSc patients. Methods Expression of LIGHT and its receptors was investigated by immunohistochemistry and evaluated semi-quantitatively in skin biopsies from 19 SSc patients and 9 healthy controls. Serum levels of LIGHT were measured using ELISA in 329 patients with SSc and 50 control subjects. Results Expression of LIGHT and both receptors was higher in SSc patients compared with controls (P < 0.05 for all comparisons). Patients with early SSc (⩽ 3 years from the first non-Raynaud's phenomenon symptom) showed higher expression of LIGHT and herpesvirus entry mediator compared with patients with longer disease duration (P < 0.05 for both comparisons). The mean serum concentration of LIGHT was significantly higher in SSc patients compared with the controls (P < 0.05). High serum concentration of LIGHT was associated with male sex, presence of digital ulcers, muscle involvement (defined by elevated serum creatine kinase levels), steroid treatment and lack of ACA. However, in multivariate regression analysis only presence of digital ulcers and creatine kinase elevation were independently associated with serum concentration of LIGHT. Conclusion These data provide the first evidence of overexpression of LIGHT and its receptors in SSc and suggest that the LIGHT axis might contribute to the pathogenesis of SSc. Increased serum concentrations of LIGHT seem to reflect vascular injury in SSc

Automated selection of bone texture regions on hand radiographs: Data from the Osteoarthritis Initiative

Manual selection of finger trabecular bone texture regions on hand X-ray images is time-consuming, tedious, and observer-dependent. Therefore, we developed an automated method for the region selection. The method selects square trabecular bone regions of interest above and below the second to fifth distal and proximal interphalangeal joints. Two regions are selected per joint (16 regions per hand). The method consists of four integral parts: (1) segmentation of a radiograph into hand and background, (2) identification of finger regions, (3) localization of center points of heads of distal phalanges and the distal interphalangeal, proximal interphalangeal, and metacarpophalangeal joints, and (4) placement of the regions of interest under and above the distal and proximal interphalangeal joints. A gold standard was constructed from regions selected by two observers on 40 hand X-ray images taken from Osteoarthritis Initiative cohort. Datasets of 520 images were generated from the 40 images to study the effects of hand and finger positioning. The accuracy in regions selection and the agreement in calculating five directional fractal parameters were evaluated against the gold standard. The accuracy, agreement, and effects of hand and finger positioning were measured using similarity index (0 for no overlap and 1 for entire overlap) and interclass correlation coefficient as appropriate. A high accuracy in selecting regions (similarity index ≥ 0.79) and a good agreement in fractal parameters (interclass correlation coefficient ≥ 0.58) were achieved. Hand and finger positioning did not affect considerably the region selection (similarity index ≥ 0.70). These results indicate that the method developed selects bone regions on hand X-ray images with accuracy sufficient for fractal analyses of bone texture