Diagnosis Related Groups and variations in resource use for child delivery across 10 European countries

International audienceChildbirth is one of the main causes of hospitalisation for women, accounting for about 5% of hospital activity in most Organisation for Economic Co-operation and Development countries. We analysed the factors that explain variations in resource use for child delivery in ten European countries. We compared the performance of three models for explaining the variations in resource use (log cost or length of inpatient stay) at patient and hospital level. The first model used only the DRGs to which child deliveries were coded (MD), the second used a set of 'patient-level' and delivery specific explanatory variables (MP), and the third model combined both sets of variables (MF). Countries vary both in the number of DRGs and the criteria used to classify cases of child delivery (range: 3-8) and in the percentage of deliveries classified as 'delivery without complication' (range: 53-90%). The capacity of DRGs and patient level variables to explain cost variation for child birth ranges from 48% in Sweden to over 70% in Spain. There is room for improving current DRG classification in most countries, but this does not necessary imply multiplying the groups and/or complicating criteria. Countries with a higher number of DRGs do not always perform better

Discrepancy Between Clinical and Pathologic Nodal Status of Esophageal Cancer and Impact on Prognosis and Therapeutic Strategy

International audienceBACKGROUND: The impact of discrepancies between clinical (c) and pathologic (p) stages of esophageal cancer remains a poorly understood issue. This study aimed to compare the prognosis of patient groups treated by primary surgery including clinical N0/pathologic N0 (cN0pN0), clinical N0/pathologic N+ (cN0pN+), clinical N+/pathologic N0 (cN+pN0), and clinical N+/pathologic N+ (cN+pN+).METHODS: Data were collected from 30 European centers during the years 2000 to 2010. Among 2944 recruited patients, 1554 patients receiving primary surgery met the inclusion criteria including 613 cN0pN0, 403 cN0pN+, 220 cN+pN0, and 318 cN+pN+ patients. Analyses with adjustment of the propensity score were used to compensate for differences in baseline characteristics.RESULTS: Clinical T stages 3 and 4 were increased in cN+pN+ (73.0%), cN0pN+ (49.6%), and cN+pN0 (51.8%) compared with cN0pN0 (32.8%). Compared with cN0pN0, cN+pN+ and cN0pN+ showed an increase in the proportion of adenocarcinoma histologic subtype, poor tumor differentiation, pathologic T3 and T4 stages, and R1/2 resection margin. Adjusted 5-year overall survival (hazard ratio [HR] 3.12; 95% confidence interval [CI] 2.57-3.78; P < 0.001) and event-free survival (HR 2.87; 95% CI 2.39-3.45; P < 0.001) were significantly reduced in cN0pN+ compared with cN0pN0. No significant differences in 5-year overall survival or event-free survival between cN0pN+ and cN+pN+ were observed. Regression analysis identified an association of distal tumor location, advanced clinical T stage, and poor tumor differentiation with pN+ disease.CONCLUSIONS: This large multicenter study showed that cN0pN+ has a prognosis similar to that of cN+pN+ and worse than that of cN0pN0. Patients with clinical N0 disease but risk factors for pathologic N+ disease may benefit from neoadjuvant therapy before surgery

Gaia Data Release 2 Kinematics of globular clusters and dwarf galaxies around the Milky Way

This article has an erratum: Doi 10.1051/0004-6361/201832698 This article has an erratum: Doi 10.1051/0004-6361/202039217Aims. The goal of this paper is to demonstrate the outstanding quality of the second data release of the Gaia mission and its power for constraining many different aspects of the dynamics of the satellites of the Milky Way. We focus here on determining the proper motions of 75 Galactic globular clusters, nine dwarf spheroidal galaxies, one ultra-faint system, and the Large and Small Magellanic Clouds. Methods. Using data extracted from the Gaia archive, we derived the proper motions and parallaxes for these systems, as well as their uncertainties. We demonstrate that the errors, statistical and systematic, are relatively well understood. We integrated the orbits of these objects in three different Galactic potentials, and characterised their properties. We present the derived proper motions, space velocities, and characteristic orbital parameters in various tables to facilitate their use by the astronomical community. Results. Our limited and straightforward analyses have allowed us for example to (i) determine absolute and very precise proper motions for globular clusters; (ii) detect clear rotation signatures in the proper motions of at least five globular clusters; (iii) show that the satellites of the Milky Way are all on high-inclination orbits, but that they do not share a single plane of motion; (i v) derive a lower limit for the mass of the Milky Way of 9.1(-2.6)(+6.2) x 10(11) M-circle dot based on the assumption that the Leo I dwarf spheroidal is bound; (v) derive a rotation curve for the Large Magellanic Cloud based solely on proper motions that is competitive with line-of-sight velocity curves, now using many orders of magnitude more sources; and (v i) unveil the dynamical effect of the bar on the motions of stars in the Large Magellanic Cloud. Conclusions. All these results highlight the incredible power of the Gaia astrometric mission, and in particular of its second data release.Peer reviewe

Comprehensive reanalysis for CNVs in ES data from unsolved rare disease cases results in new diagnoses

: We report the results of a comprehensive copy number variant (CNV) reanalysis of 9171 exome sequencing datasets from 5757 families affected by a rare disease (RD). The data reanalysed was extremely heterogeneous, having been generated using 28 different enrichment kits by 42 different research groups across Europe partnering in the Solve-RD project. Each research group had previously undertaken their own analysis of the data but failed to identify disease-causing variants. We applied three CNV calling algorithms to maximise sensitivity, and rare CNVs overlapping genes of interest, provided by four partner European Reference Networks, were taken forward for interpretation by clinical experts. This reanalysis has resulted in a molecular diagnosis being provided to 51 families in this sample, with ClinCNV performing the best of the three algorithms. We also identified partially explanatory pathogenic CNVs in a further 34 individuals. This work illustrates the value of reanalysing ES cold cases for CNVs