27 research outputs found

    Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study

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    Background Early death after cancer surgery is higher in low-income and middle-income countries (LMICs) compared with in high-income countries, yet the impact of facility characteristics on early postoperative outcomes is unknown. The aim of this study was to examine the association between hospital infrastructure, resource availability, and processes on early outcomes after cancer surgery worldwide.Methods A multimethods analysis was performed as part of the GlobalSurg 3 study-a multicentre, international, prospective cohort study of patients who had surgery for breast, colorectal, or gastric cancer. The primary outcomes were 30-day mortality and 30-day major complication rates. Potentially beneficial hospital facilities were identified by variable selection to select those associated with 30-day mortality. Adjusted outcomes were determined using generalised estimating equations to account for patient characteristics and country-income group, with population stratification by hospital.Findings Between April 1, 2018, and April 23, 2019, facility-level data were collected for 9685 patients across 238 hospitals in 66 countries (91 hospitals in 20 high-income countries; 57 hospitals in 19 upper-middle-income countries; and 90 hospitals in 27 low-income to lower-middle-income countries). The availability of five hospital facilities was inversely associated with mortality: ultrasound, CT scanner, critical care unit, opioid analgesia, and oncologist. After adjustment for case-mix and country income group, hospitals with three or fewer of these facilities (62 hospitals, 1294 patients) had higher mortality compared with those with four or five (adjusted odds ratio [OR] 3.85 [95% CI 2.58-5.75]; p<0.0001), with excess mortality predominantly explained by a limited capacity to rescue following the development of major complications (63.0% vs 82.7%; OR 0.35 [0.23-0.53]; p<0.0001). Across LMICs, improvements in hospital facilities would prevent one to three deaths for every 100 patients undergoing surgery for cancer.Interpretation Hospitals with higher levels of infrastructure and resources have better outcomes after cancer surgery, independent of country income. Without urgent strengthening of hospital infrastructure and resources, the reductions in cancer-associated mortality associated with improved access will not be realised

    Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

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    Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347Funder: Flemish Society for Critical Care NursesAbstract: Purpose: Intensive care unit (ICU) patients are particularly susceptible to developing pressure injuries. Epidemiologic data is however unavailable. We aimed to provide an international picture of the extent of pressure injuries and factors associated with ICU-acquired pressure injuries in adult ICU patients. Methods: International 1-day point-prevalence study; follow-up for outcome assessment until hospital discharge (maximum 12 weeks). Factors associated with ICU-acquired pressure injury and hospital mortality were assessed by generalised linear mixed-effects regression analysis. Results: Data from 13,254 patients in 1117 ICUs (90 countries) revealed 6747 pressure injuries; 3997 (59.2%) were ICU-acquired. Overall prevalence was 26.6% (95% confidence interval [CI] 25.9–27.3). ICU-acquired prevalence was 16.2% (95% CI 15.6–16.8). Sacrum (37%) and heels (19.5%) were most affected. Factors independently associated with ICU-acquired pressure injuries were older age, male sex, being underweight, emergency surgery, higher Simplified Acute Physiology Score II, Braden score 3 days, comorbidities (chronic obstructive pulmonary disease, immunodeficiency), organ support (renal replacement, mechanical ventilation on ICU admission), and being in a low or lower-middle income-economy. Gradually increasing associations with mortality were identified for increasing severity of pressure injury: stage I (odds ratio [OR] 1.5; 95% CI 1.2–1.8), stage II (OR 1.6; 95% CI 1.4–1.9), and stage III or worse (OR 2.8; 95% CI 2.3–3.3). Conclusion: Pressure injuries are common in adult ICU patients. ICU-acquired pressure injuries are associated with mainly intrinsic factors and mortality. Optimal care standards, increased awareness, appropriate resource allocation, and further research into optimal prevention are pivotal to tackle this important patient safety threat

    Computational Studies of Acidic Destabilization and Membrane Association of Diphtheria Toxin Translocation (T) Domain

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    <p>Diphtheria toxin translocation (T) domain is a water soluble protein that consists of ten alpha-helices in high pH solution. Experimental studies have determined that T-domain undergoes conformational changes upon decrease of solution pH, which shifts the protein population from its initial water soluble to a membrane-competent in solution. It was hypothesized that conformational changes of the latter state prepare the protein structure for subsequent membrane binding. After binding, refolding of T-domain on the membrane results in the formation of a transmembrane state, which is characterized by the permeation of the lipid bilayer. The function of transmembrane state is to help the translocation of a catalytic domain attached to the protein N-terminal across the lipid bilayer. The first goal of this work is to study the pH-dependent destabilization of T-domain structure in solution and understand the role of protonation of key residues using a variety of computational and experimental methods. The second goal is to study the subsequent membrane binding of T-domain to lipid bilayers and propose a theoretical model of the early steps of T-domain refolding on the membrane interface using a multiscale approach. Modeling of the low pH induced conformational changes and membrane association of T-domain is performed in two stages. In the first stage, protonation of N-terminal histidines triggers conformational changes of the N-terminal helices of T-domain in solution. The role of histidines was confirmed by thermodynamic integration, continuum electrostatic calculations, and microsecond long molecular dynamics (MD) simulations. Two microsecond MD simulations of a low pH model of T-domain sampled similar destabilized protein conformations; however, an N-terminal helix showed dissimilar degree of refolding. To improve the sampling of conformational changes, we proposed and implement a sampling method based on the accelerated molecular dynamics simulations method. Our proposed implementation accelerates the sampling of the conformational landscape of the low pH T-domain model by boosting the direct-space electrostatic interactions of solute-solute atom pairs. In general, this implementation accelerates the sampling of the conformational space of alanine-dipeptide in comparison to the original implementation of accelerated molecular dynamics. In the second stage, a multiscale approach is used to model the membrane association of the low pH destabilized model of T-domain to lipid bilayers of different compositions. Two preferable membrane-bound conformations of the low pH T-domain model are predicted by equilibrium and free energy calculations. The most frequently observed membrane-bound conformation is stabilized by electrostatic interactions between the protein and the lipid headgroups. In contrast, the less frequently observed membrane-bound conformation is stabilized by hydrophobic interactions between the protein and lipid headgroups. These interactions allow for a deeper insertion of T-domain in the membrane interface. The predicted membrane-bound conformations were refined by atomistic molecular dynamics simulations, which show that membrane-bound conformations are stable for several microseconds. Furthermore, atomistic MD simulations suggested that neutralization of glutamate and aspartate sidechains favored a deeper inserted state of T-domain in the membrane interface. This observation is in good agreement with reported pH-dependent insertion of T-domain in the membrane interface. To study the assembly of transmembrane helices, a coarse-grained model based on a residue level of representation and a rigid-body Monte-Carlo sampling method is developed. The scoring energy function is constructed using a knowledge based potential extracted from water soluble protein structures. To compensate the protein interior packing and the solvation differences, an experimentally determined membrane partition scale for all residues was used. This scoring function was tested in a set of three transmembrane homodimers. The proposed scoring function and the associated rigid-body Monte-Carlo sampling method can be applied in the first steps of prediction of near-native structures of transmembrane proteins followed by structural refinement using atomistic MD simulations.</p

    Microsecond Simulations of the Diphtheria Toxin Translocation Domain in Association with Anionic Lipid Bilayers

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    Diphtheria toxin translocation (T) domain undergoes conformational changes in acidic solution and associates with the lipid membranes, followed by refolding and transmembrane insertion of two nonpolar helices. This process is an essential step in delivery of the toxic catalytic domain of the diphtheria toxin to the infected cell, yet its molecular determinants are poorly characterized and understood. Therefore, an atomistic model of the T-domain–membrane interaction is needed to help characterize factors responsible for such association. In this work, we present atomistic model structures of T-domain membrane-bound conformations and investigate structural factors responsible for T-domain affinity with the lipid bilayer in acidic solution using all-atom molecular dynamics (MD) simulations. The initial models of the protein conformations and protein–membrane association that serve as starting points in the present work were developed using atomistic simulations of partial unfolding of the T-domain in acidic solution (Kurnikov, I. V.; et al. <i>J. Mol. Biol.</i> <b>2013</b>, <i>425</i>, 2752–2764), and coarse-grained simulations of the T-domain association with the membranes of various compositions (Flores-Canales, J. C.; et al. <i>J. Membr. Biol.</i> <b>2015</b>, <i>248</i>, 529–543). In this work we present atomistic level modeling of two distinct configurations of the T-domain in association with the anionic lipid bilayer. In microsecond-long MD simulations both conformations retain their compact structure and gradually penetrate deeper into the bilayer interface. One membrane-bound conformation is stabilized by the protein contacts with the lipid hydrophobic core. The second modeled conformation is initially inserted less deeply and forms multiple contacts with the lipid at the interface (headgroup) region. Such contacts are formed by the charged and hydrophilic groups of partially unfolded terminal helixes and loops. Neutralization of the acidic residues at the membrane interface allows for deeper insertion of the protein and reorientation of the protein at the membrane interface, which corroborates that acidic residue protonation as well as presence of the anionic lipids may play a role in the membrane association and further membrane insertion of the T-domain as implicated in experiments. All simulations reported in this work were performed using AMBER force-field on Anton supercomputer. To perform these reported simulations, we developed and carefully tested a force-field for the anionic 1-palmitoyl-2-oleoyl-phosphatidyl-glycerol (POPG) lipid, compatible with the Amber 99SB force-field and stable in microsecond-long MD simulations in isothermal–isobaric ensemble

    Targeting Electrostatic Interactions in Accelerated Molecular Dynamics with Application to Protein Partial Unfolding

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    Accelerated molecular dynamics (aMD) is a promising sampling method to generate an ensemble of conformations and to explore the free energy landscape of proteins in explicit solvent. Its success resides in its ability to reduce barriers in the dihedral and the total potential energy space. However, aMD simulations of large proteins can generate large fluctuations of the dihedral and total potential energy with little conformational changes in the protein structure. To facilitate wider conformational sampling of large proteins in explicit solvent, we developed a direct intrasolute electrostatic interactions accelerated MD (DISEI-aMD) approach. This method aims to reduce energy barriers within rapidly changing electrostatic interactions between solute atoms at short-range distances. It also results in improved reconstruction quality of the original statistical ensemble of the system. Recently, we characterized a pH-dependent partial unfolding of diphtheria toxin translocation domain (T-domain) using microsecond long MD simulations. In this work, we focus on the study of conformational changes of a low-pH T-domain model in explicit solvent using DISEI-aMD. On the basis of the simulations of the low-pH T-domain model, we show that the proposed sampling method accelerates conformational rearrangement significantly faster than multiple standard aMD simulations and microsecond long conventional MD simulations
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