Surgical site infection after cesarean section in Ukraine: results a multicenter study

The aim: To obtain the first national estimates of the current prevalence rate of SSI after CSEC and antimicrobial resistance of causing pathogens in Ukraine. Materials and methods: We performed a retrospective multhicentre cogort study based surveillance data was conducted from May 2017 to December 2019. The study population consisted of all women who had a cesarean section in 11 regional women hospitals of Ukraine. Definitions of SSI after cesarean section were used from the CDC/ NHSN. Results: A total of 2 326 CSEC operations and 14.7% SSI were identified within 30 days of the operation. Of these, 44.4% were superficial incisional SSI, 28.9% were deep incisional SSI, and 26.6% were organ/space SSI, 25.7% of which were classed as endometritis. Of all cases 70.5% of infections were detected post discharge. The most commonly identifed pathogen were Staphylococcus aureus (23.5%), Escherichiacoli (20%), Coagulase-negative staphylococci (8.1%), Enterococcus spp. (7.7%), Pseudomonasaeruginosa (7.7%), Enterobacter spp. (6.4%), and Streptococcus spp. (5.6%). The overall proportion of extended spectrum beta-lactamase (ESBL) production among Enterobacteriaceae was 18.3% and of methicillin-resistance in S. aureus(MRSA) 13.9%. Resistance to third-generation cephalosporins was observed in 15.2% E.coli and 7.9% Klebsiellapneumoniae isolates. Carbapenem resistance was identified in 7.3% of P.aeruginosa isolates. Conclusions: The results of this study revealed high rates of SSI after CSEC and most causing pathogens were associated with resistant to antibiotic stranis. This knowledge is essential to develop targeted strategies to surveillance and reduce the incidence of postoperative infections

Chemical freeze-out of light nuclei in high energy nuclear collisions and resolution of the hyper-Triton chemical freeze-out puzzle

Indexación ScopusWe present a summary of the recent results obtained with the novel hadron resonance gas model with the multicomponent hard-core repulsion which is extended to describe the mixtures of hadrons and light (anti-, hyper-)nuclei. A very accurate description is obtained for the hadronic and the light nuclei data measured by STAR at the collision energy The most striking result discussed here is that for the most probable chemical freeze-out scenario for the STAR energy the found parameters allow us to reproduce the values of the experimental ratios S 3 and without fitting. © Published under licence by IOP Publishing Ltd.https://iopscience-iop-org.recursosbiblioteca.unab.cl/article/10.1088/1742-6596/1690/1/01212

Triple nuclear collisions – a new method to explore the matter properties under new extreme conditions

We suggest to explore an entirely new method to experimentally and theoretically study the phase diagram of strongly interacting matter based on the triple nuclear collisions (TNC).We simulated the TNC using the UrQMD 3.4 model at the beam center of- mass collision energies $\sqrt {{S_{NN}}} = 200\,{\rm{GeV}}\,{\rm{and}}\,\sqrt {{S_{NN}}} = 2.76\,{\rm{TeV}}$. It is found that in the most central and simultaneous TNC the initial baryonic charge density is about 3 times higher than the one achieved in the usual binary nuclear collisions at the same energies. As a consequence, the production of protons and Λ-hyperons is increased by a factor of 2 and 1.5, respectively. Using the MIT Bag model equation we study the evolution of the central cell in TNC and demonstrate that for the top RHIC energy of collision the baryonic chemical potential is 2-2.5 times larger than the one achieved in the binary nuclear collision at the same time of reaction. Based on these estimates, we show that TNC offers an entirely new possibility to study the QCD phase diagram at very high baryonic charge densities