Evaluation of Elastic Venous Compression Device dispensation in pregnant and post-partum women using the French National Health Insurance Claims Database: The ProFIL retrospective cohort study.

OBJECTIVES: To describe the real-world use of Elastic Venous Compression Devices (EVCDs) during pregnancy and post-partum using data from a representative subset of the French National Health Insurance Claims Database (the Echantillon Généraliste des Bénéficiaires, EGB). STUDY DESIGN: Women aged 15-49 who were pregnant between 1st July 2017 and 15th June 2018 were identified in the EGB using pregnancy-specific acts (certain prenatal examinations or deliveries). Subgroups were defined by age, presence of Venous Thrombo-Embolism (VTE) risk factors, history of VTE, delivery type and time period. EVCD dispensations (format, prescriber, and date) were identified among those for "standard orthotics" using their unique reimbursement tariffs. Dispensation rates were computed for all subgroups, overall and by format and were compared. RESULTS: 15,528 pregnant women were included: 7,252 [46.7 %] deliveries (5,796 vaginal [79.9 %], 482 planned cesarean sections (C-sections) [6.7 %] and 974 unplanned C-Sections [13.4 %]), 2,734 (17.6 %) terminations and 5,542 (35.7 %) unknown outcomes. Overall, 4,919 (31.7 %) women were dispensed at least one EVCD. Ante-partum dispensation occurred in 43.1 % (n = 3,122) of women whose pregnancy led to a delivery. Dispensation rates were 17.3 % (n = 1,005), 46.7 % (n = 225) and 44.1 % (n = 430) after vaginal delivery, planned C-sections or unplanned C-sections, respectively. Overall, dispensation rates significantly increased with age, the presence of VTE risk factors, and a history of VTE (p < 0.01). EVCD dispensation was most frequent (17.0 %) during the 5th month of pregnancy. Among pregnant women who were dispensed at least one EVCD during ante- or post-partum, 69.0 % had one or two units of compression (27.1 % [one unit], 41.9 % [two units]). Stockings (48.6 %, n = 6,038) were dispensed significantly more frequently than socks (36.9 %, n = 4,586) and tights (14.5 %, n = 1,806) (p < 0.01). The main contributors to mechanical VTE prophylaxis were gynecologists (26.3 % of dispensations, n = 2,280), general practitioners (20.2 %, n = 1,749) and midwives (15.1 %, n = 1,314). CONCLUSIONS: Low observed dispensation rates highlight a discrepancy between the French National Authority for Health (Haute Autorité de Santé, HAS), recommending EVCDs use during pregnancy and after delivery, and the real-life use of EVCD. Prescription sensitization combined with targeted information campaigns for pregnant women would be beneficial to contribute to the prevention of VTE, a health problem for pregnant women.

PERFUSE: Non-Interventional Cohort Study of Patients Receiving Infliximab Biosimilar SB2: Results in Pediatric Patients.

OBJECTIVES: PERFUSE is a non-interventional study of 1233 patients [inflammatory rheumatic disease, n = 496; inflammatory bowel disease (IBD), n = 737] receiving infliximab (IFX) biosimilar SB2 therapy. This analysis describes response to treatment and persistence on SB2 for up to 12 months in pediatric IBD patients (n = 126). METHODS: Pediatric IBD patients with Crohn disease (CD) or ulcerative colitis (UC), either naïve or switched from originator IFX, who started SB2 in routine practice after September 2017 were eligible. Data were captured for 12 months following SB2 initiation. Disease activity was measured using C-reactive protein (CRP) levels and the Harvey-Bradshaw Index or Pediatric Ulcerative Colitis Activity Index for CD and UC patients, respectively. Body mass index and height z scores were used to assess patient growth between initiation (M0) and month 12 (M12). RESULTS: One hundred twenty-six pediatric IBD patients were included (102 CD patients, 51 naïve and 51 switched; 24 UC patients, 9 naïve and 15 switched). Naive patients' disease scores decreased between M0 and M12. CRP measurements also decreased in naïve CD patients. Switched patients' disease scores and CRP levels remained stable between M0 and M12. Height z scores improved significantly over the course of the treatment for all groups except for naïve UC patients. CONCLUSIONS: SB2 provides effective disease control for naïve and switched pediatric patients. Clinical remission rates improved in naïve patients and no loss of control was observed in switched patients after 1 year. Growth failure is not observed in IBD patients under SB2 treatment.

PTEN inhibits AMPK to control collective migration.

Pten is one of the most frequently mutated tumour suppressor gene in cancer. PTEN is generally altered in invasive cancers such as glioblastomas, but its function in collective cell migration and invasion is not fully characterised. Herein, we report that the loss of PTEN increases cell speed during collective migration of non-tumourous cells both in vitro and in vivo. We further show that loss of PTEN promotes LKB1-dependent phosphorylation and activation of the major metabolic regulator AMPK. In turn AMPK increases VASP phosphorylation, reduces VASP localisation at cell-cell junctions and decreases the interjunctional transverse actin arcs at the leading front, provoking a weakening of cell-cell contacts and increasing migration speed. Targeting AMPK activity not only slows down PTEN-depleted cells, it also limits PTEN-null glioblastoma cell invasion, opening new opportunities to treat glioblastoma lethal invasiveness.

Machine learning approaches to improve disease management of patients with rheumatoid arthritis: review and future directions.

INTRODUCTION: Although the management of rheumatoid arthritis (RA) has improved in major way over the last decades, this disease still leads to an important burden for patients and society, and there is a need to develop more personalized approaches. Machine learning (ML) methods are more and more used in health-related studies and can be applied to different sorts of data (clinical, radiological, or 'omics' data). Such approaches may improve the management of patients with RA. AREAS COVERED: In this paper, we propose a review regarding ML approaches applied to RA. A scoping literature search was performed in PubMed, in September 2021 using the following MeSH terms: 'arthritis, rheumatoid' and 'machine learning'. Based on this search, the usefulness of ML methods for RA diagnosis, monitoring, and prediction of response to treatment and RA outcomes, is discussed. EXPERT OPINION: ML methods have the potential to revolutionize RA-related research and improve disease management and patient care. Nevertheless, these models are not yet ready to contribute fully to rheumatologists' daily practice. Indeed, these methods raise technical, methodological, and ethical issues, which should be addressed properly to allow their implementation. Collaboration between data scientists, clinical researchers, and physicians is therefore required to move this field forward.