2,986 research outputs found

    An International Prospective Cohort Study To Validate 2 Prediction Rules for Infections Caused by Third-generation Cephalosporin-resistant Enterobacterales

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    Background The possibility of bloodstream infections caused by third-generation cephalosporin-resistant Enterobacterales (3GC-R-BSI) leads to a trade-off between empiric inappropriate treatment (IAT) and unnecessary carbapenem use (UCU). Accurately predicting 3GC-R-BSI could reduce IAT and UCU. We externally validate 2 previously derived prediction rules for community-onset (CO) and hospital-onset (HO) suspected bloodstream infections. Methods In 33 hospitals in 13 countries we prospectively enrolled 200 patients per hospital in whom blood cultures were obtained and intravenous antibiotics with coverage for Enterobacterales were empirically started. Cases were defined as 3GC-R-BSI or 3GC-R gram-negative infection (3GC-R-GNI) (analysis 2); all other outcomes served as a comparator. Model discrimination and calibration were assessed. Impact on carbapenem use was assessed at several cutoff points. Results 4650 CO infection episodes were included and the prevalence of 3GC-R-BSI was 2.1% (n = 97). IAT occurred in 69 of 97 (71.1%) 3GC-R-BSI and UCU in 398 of 4553 non–3GC-R-BSI patients (8.7%). Model calibration was good, and the AUC was .79 (95% CI, .75–.83) for 3GC-R-BSI. The prediction rule potentially reduced IAT to 62% (60/97) while keeping UCU comparable at 8.4% or could reduce UCU to 6.3% (287/4553) while keeping IAT equal. IAT and UCU in all 3GC-R-GNIs (analysis 2) improved at similar percentages. 1683 HO infection episodes were included and the prevalence of 3GC-R-BSI was 4.9% (n = 83). Here model calibration was insufficient. Conclusions A prediction rule for CO 3GC-R infection was validated in an international cohort and could improve empirical antibiotic use. Validation of the HO rule yielded suboptimal performance

    Improved imputation quality of low-frequency and rare variants in European samples using the ‘Genome of The Netherlands’

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    Although genome-wide association studies (GWAS) have identified many common variants associated with complex traits, low-frequency and rare variants have not been interrogated in a comprehensive manner. Imputation from dense reference panels, such as the 1000 Genomes Project (1000G), enables testing of ungenotyped variants for association. Here we present the results of imputation using a large, new population-specific panel: the Genome of The Netherlands (GoNL). We benchmarked the performance of the 1000G and GoNL reference sets by comparing imputation genotypes with ‘true’ genotypes typed on ImmunoChip in three European populations (Dutch, British, and Italian). GoNL showed s

    Do Wages Continue Increasing at Older Ages? Evidence on the Wage Cushion in the Netherlands

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    In this study, we investigate the anatomy of older workers' wages. The central question is whether the wage cushion i.e., the difference between actual wages and collectively agreed-upon (maximum) contractual wages contributes to the fact that wages continue increasing at older ages. We follow the wages of individual workers in twenty-two sectors of industry in the Netherlands using administrative data for the period 20062010. In the public sector, we find no evidence of a wage cushion. Wage scale ceilings set in collective agreements are guiding for older workers' wages, and workers earning a contractual wage equal to a wage scale ceiling are not compensated with higher additional wages. In the private sector, we do find evidence of a wage cushion. Wage scale ceilings are less restrictive and workers earning a contractual wage exceeding the highest wage scale ceiling experience higher contractual wage growth. The private sector wage cushion enhances wage differentiation and allows for wages that continue increasing at older ages
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