18 research outputs found

    Clinical profile and direct medical cost of care of adults presenting with systemic lupus erythematosus in Italy

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    Objective: To determine the clinical profile and estimate the annual direct medical cost of care of adult patients with active, autoantibody positive systemic lupus erythematosus (SLE) in Italy. Methods: A two-year, retrospective, multicentre, observational study was conducted from January to May 2011. Patients' characteristics, SLE disease activity and severity, rate of flares, healthcare consumption (e.g. medications, etc.) were evaluated. Medical costs were assessed from the Italian National Health Insurance perspective. Results: Four centres enrolled 96 eligible patients, including 85.4% women. Patients were equally stratified per disease severity (severe SLE: 51%). The mean (SD) age was 42.9 (13.8) years. At baseline, SLE duration was 12.6 (7.2) years. The mean (SD) SELENA-SLEDAI score was higher in severe than in non-severe patients 9.2 (6.4) vs. 3.3 (3.1) (p<0.001). The mean (SD) SLICC/ACR index score was similar in the two subgroups: 0.4 (0.8) vs. 0.3 (0.8). Over the study period, severe patients experienced on average 0.73 (0.56) flares/year and non-severe patients 0.57 (0.63). The annual medical cost was 1.6 times higher in severe than in non-severe patients (€2,101 vs. €1,320; p=0.031). The cost of medications was also 2.5 times higher in severe patients (€1101 vs. €445, p=0.007). Low C3/C4 complement levels and each severe flare incremented the annual cost of €550 (p=0.011) and €465 (p=0.02), respectively. Conclusion: The medical cost of SLE in Italy is related to disease severity and flares. Medications identified as the main cost drivers, and low C3/C4 complement levels and severe flares as the main cost predictors, increased significantly the cost of SLE management

    Impact of remote patient monitoring on clinical outcomes: an updated meta-analysis of randomized controlled trials

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    Abstract Despite growing interest in remote patient monitoring, limited evidence exists to substantiate claims of its ability to improve outcomes. Our aim was to evaluate randomized controlled trials (RCTs) that assess the effects of using wearable biosensors (e.g. activity trackers) for remote patient monitoring on clinical outcomes. We expanded upon prior reviews by assessing effectiveness across indications and presenting quantitative summary data. We searched for articles from January 2000 to October 2016 in PubMed, reviewed 4,348 titles, selected 777 for abstract review, and 64 for full text review. A total of 27 RCTs from 13 different countries focused on a range of clinical outcomes and were retained for final analysis; of these, we identified 16 high-quality studies. We estimated a difference-in-differences random effects meta-analysis on select outcomes. We weighted the studies by sample size and used 95% confidence intervals (CI) around point estimates. Difference-in-difference point estimation revealed no statistically significant impact of remote patient monitoring on any of six reported clinical outcomes, including body mass index (−0.73; 95% CI: −1.84, 0.38), weight (−1.29; −3.06, 0.48), waist circumference (−2.41; −5.16, 0.34), body fat percentage (0.11; −1.56, 1.34), systolic blood pressure (−2.62; −5.31, 0.06), and diastolic blood pressure (−0.99; −2.73, 0.74). Studies were highly heterogeneous in their design, device type, and outcomes. Interventions based on health behavior models and personalized coaching were most successful. We found substantial gaps in the evidence base that should be considered before implementation of remote patient monitoring in the clinical setting

    Metabolic syndrome and its relationship with the achievement of minimal disease activity state in psoriatic arthritis patients: an observational study

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    The aim of the study was to evaluate the influence of metabolic syndrome (MetS) on achieving minimal disease activity (MDA) in psoriatic arthritis (PsA) patients treated with anti-tumor necrosis factor (TNF)-α with a follow-up period of 24 months. A cohort of PsA patients was assessed at the University Federico II of Naples and at University of Padova. For the aim of the present study, patients' data were collected at baseline (T0), at 12 months (T1) and at 24 months (T2). Assessment of metabolic and disease activity parameters was performed at each visit. The NCEP-ACT III criteria were used to identify subjects with MetS and the MDA criteria to evaluate the disease activity. On the basis of the exclusion and inclusion criteria, 330 subjects were included in the study; 134 patients (40.7 %) were classified as not having MetS and 196 (59.3 %) as having MetS. An inverse association was found between presence of metabolic syndrome and the probability of achieving MDA. Univariate analysis indicated that patients with metabolic syndrome were less likely to achieve MDA than patients without metabolic syndrome (OR 0.45, p < 0.001). This inverse association remained statistically significant in the multivariate regression model (OR 0.56, p < 0.001). Metabolic syndrome is associated with a lower probability of achieving MDA in PsA patients in therapy with anti-TNF-α

    Carbohydrate Availability Regulates Virulence Gene Expression in Streptococcus suis

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    Contains fulltext : 127539.pdf (publisher's version ) (Open Access)Streptococcus suis is a major bacterial pathogen of young pigs causing worldwide economic problems for the pig industry. S. suis is also an emerging pathogen of humans. Colonization of porcine oropharynx by S. suis is considered to be a high risk factor for invasive disease. In the oropharyngeal cavity, where glucose is rapidly absorbed but dietary alpha-glucans persist, there is a profound effect of carbohydrate availability on the expression of virulence genes. Nineteen predicted or confirmed S. suis virulence genes that promote adhesion to and invasion of epithelial cells were expressed at higher levels when S. suis was supplied with the alpha-glucan starch/pullulan compared to glucose as the single carbon source. Additionally the production of suilysin, a toxin that damages epithelial cells, was increased more than ten-fold when glucose levels were low and S. suis was growing on pullulan. Based on biochemical, bioinformatics and in vitro and in vivo gene expression studies, we developed a biological model that postulates the effect of carbon catabolite repression on expression of virulence genes in the mucosa, organs and blood. This research increases our understanding of S. suis virulence mechanisms and has important implications for the design of future control strategies including the development of anti-infective strategies by modulating animal feed composition
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