This study was designed to propose a simple "Fast Track algorithm" for capillaroscopists of any level of experience to differentiate "scleroderma patterns" from "non-scleroderma patterns" on capillaroscopy and to assess its inter-rater reliability. Based on existing definitions to categorise capillaroscopic images as "scleroderma patterns" and taking into account the real life variability of capillaroscopic images described standardly according to the European League Against Rheumatism (EULAR) Study Group on Microcirculation in Rheumatic Diseases, a fast track decision tree, the "Fast Track algorithm" was created by the principal expert (VS) to facilitate swift categorisation of an image as "non-scleroderma pattern (category 1)" or "scleroderma pattern (category 2)". Mean inter-rater reliability between all raters (experts/attendees) of the 8th EULAR course on capillaroscopy in Rheumatic Diseases (Genoa, 2018) and, as external validation, of the 8th European Scleroderma Trials and Research group (EUSTAR) course on systemic sclerosis (SSc) (Nijmegen, 2019) versus the principal expert, as well as reliability between the rater pairs themselves was assessed by mean Cohen's and Light's kappa coefficients. Mean Cohen's kappa was 1/0.96 (95% CI 0.95-0.98) for the 6 experts/135 attendees of the 8th EULAR capillaroscopy course and 1/0.94 (95% CI 0.92-0.96) for the 3 experts/85 attendees of the 8th EUSTAR SSc course. Light's kappa was 1/0.92 at the 8th EULAR capillaroscopy course, and 1/0.87 at the 8th EUSTAR SSc course. For the first time, a clinical expert based fast track decision algorithm has been developed to differentiate a "non-scleroderma" from a "scleroderma pattern" on capillaroscopic images, demonstrating excellent reliability when applied by capillaroscopists with varying levels of expertise versus the principal expert and corroborated with external validation.

Introduction: Disease severity in collagen-induced arthritis (CIA) is commonly assessed by clinical scoring of paw swelling and histological examination of joints. Although this is an accurate approach, it is also labour-intensive and the application of less invasive and less time-consuming methods is of great interest. However, it is still unclear which of these methods represents the most discriminating measure of disease activity.Methods: We undertook a comparative analysis in which different measurements of inflammation and tissue damage in CIA were studied on an individual mouse level. We compared the current gold standard methods - clinical scoring and histological examination - with alternative methods based on scoring of X-ray or micro-computed tomography (CT) images and investigated the significance of systemically expressed proteins, involved in CIA pathogenesis, that have potential as biomarkers.Results: Linear regression analysis revealed a marked association of serum matrix metalloproteinase (MMP)-3 levels with all features of CIA including inflammation, cartilage destruction and bone erosions. This association was improved by combined detection of MMP-3 and anti-collagen IgG2a antibody concentrations. In addition, combined analysis of both X-ray and micro-CT images was found to be predictive for cartilage and bone damage. Most remarkably, validation analysis using an independent data set proved that variations in disease severity, induced by different therapies, could be accurately represented by predicted values based on the proposed parameters.Conclusions: Our analyses revealed that clinical scoring, combined with serum MMP-3, anti-collagen IgG2a measurement and scoring of X-ray and micro-CT images, yields a comprehensive insight into the different aspects of disease activity in CIA.

Intimate partner violence (IPV) before and during pregnancy is associated with a broad range of adverse health outcomes. Describing the extent and the evolution of IPV is a crucial step in developing interventions to reduce the health impact of IPV. The objectives are to study the prevalence of psychological abuse, as well as physical & sexual violence, and to provide insight into the evolution of IPV 12 months before and during pregnancy. Between June 2010 and October 2012, a cross-sectional study was conducted in 11 antenatal care clinics in Belgium. Consenting pregnant women were asked to complete a questionnaire (available in Dutch, French and English) in a separate room. Ethical clearance was obtained in all participating hospitals. The overall percentage of IPV was 14.3% (95% CI: 12.7 - 16.0) 12 months before pregnancy and 10.6% (95% CI: 9.2 - 12.1) during pregnancy. Physical partner violence before as well as during pregnancy was reported by 2.5% (95% CI: 1.7 - 3.3) of the respondents (n = 1894), sexual violence by 0.9% (95% CI 0.5 - 1.4), and psychological abuse by 14.9% (95% CI: 13.3 - 16.7). Risk factors identified for IPV were being single or divorced, having a low level of education, and choosing another language than Dutch to fill out the questionnaire. The adjusted analysis showed that physical partner violence (aOR 0.35, 95% CI: 0.22 - 0.56) and psychological partner abuse (aOR 0.7, 95% CI: 0.63 - 0.79) were significantly lower during pregnancy compared to the period of 12 months before pregnancy. The difference between both time periods is greater for physical partner violence (65%) compared to psychological partner abuse (30%). The analysis of the frequency data showed a similarly significant evolution for physical partner violence and psychological partner abuse, but not for sexual violence. The IPV prevalence rates in our study are slightly lower than what can be found in other Western studies, but even so IPV is to be considered a prevalent problem before and during pregnancy. We found evidence, however, that physical partner violence and psychological partner abuse are significantly lower during pregnancy.

The objective of this paper is to explore whether IPV 12 months before and/or during pregnancy is associated with poor psychosocial health. From June 2010 to October 2012, a cross-sectional study was conducted in 11 antenatal care clinics in Belgium. Consenting pregnant women were asked to complete a questionnaire on socio-demographics, psychosocial health and violence in a separate room. Overall, 2586 women were invited to participate and we were able to use data from 1894 women (73.2 %) for analysis. Ethical clearance was obtained in all participating hospitals. We found a significant correlation between IPV and poor psychosocial health: within the group of women who reported IPV, 53.2 % (n = 118) had poor psychosocial health, as compared to 21 % (n = 286) in the group of women who did not report IPV (P < 0.001). Lower psychosocial health scores were associated with increased odds of reporting IPV (aOR 1.55; 95 % CI 1.39–1.72), with adjustments made for the language in which the questionnaire was filled out, civil/marital status, education and age. In other words, a decrease of 10 points on the psychosocial health scale (total of 140) increased the odds of reporting IPV by 55 %. When accounting for the 6 psychosocial health subscales, the analysis revealed that all subscales (depression, anxiety, self-esteem, mastery, worry and stress) are strongly correlated to reporting IPV. However, when accounting for all subscales simultaneously in a logistic regression model, only depression (aOR 0.87; 95 % CI 0.84–0.91) and stress (aOR 0.85; 95 % CI 0.77–095) remained significantly associated with IPV. The association between overall psychosocial health and IPV remained significant after adjusting for socio-demographic status. Our research corroborated that IPV and psychosocial health are strongly associated. Due to the limitations of our study design, we believe that future research is needed to deepen understanding of the multitude of factors involved in the complex interactions between IPV and psychosocial health.

Background An increasing number of older patients are hospitalised. Prognostic uncertainty causes hospital doctors to be reluctant to make the switch from cure to care. The Supportive and Palliative Care Indicators Tool (SPICT) has not been validated for prognostication in an older hospitalised population. Aim To validate SPICT as a prognostic tool for risk of dying within one year in older hospitalised patients. Design Prospective multicentre study. Premorbid SPICT and 1-year survival and survival time were assessed. Setting/participants Patients 75 years and older admitted at acute geriatric (n=209) and cardiology units (CUs) (n=249) of four hospitals. Results In total, 59.3% (124/209) was SPICT identified on acute geriatric vs 40.6% (101/249) on CUs (p<0.001). SPICT-identified patients in CUs reported more functional needs and more symptoms compared to SPICT non-identified patients. On acute geriatric units, SPICT-identified patients reported more functional needs only. The HR of dying was 2.9 (95% CI 1.1 to 8.7) in SPICT-identified versus non-identified after adjustment for hospital strata, age, gender and did not differ between units. One-year mortality was 24% and 22%, respectively, on acute geriatric versus CUs (p=0.488). Pooled average sensitivity, specificity and partial area under the curve differed significantly between acute geriatric and CUs (p<0.001), respectively, 0.82 (95%CI 0.66 to 0.91), 0.49 (95%CI 0.40 to 0.58) and 0.82 in geriatric vs 0.69 (95% CI 0.42 to 0.87), 0.66 (95% CI 0.55 to 0.77) and 0.65 in CUs. Conclusions SPICT may be used as a tool to identify older hospitalised patients at risk of dying within 1 year and who may benefit from a palliative care approach including advance care planning. The prognostic accuracy of SPICT is better in older patients admitted at the acute geriatric versus the CU.