Correction: Modelling and prediction of the thermophysical properties of aqueous mixtures of choline geranate and geranic acid (CAGE) using SAFT-γ Mie

Correction for ‘Modelling and prediction of the thermophysical properties of aqueous mixtures of choline geranate and geranic acid (CAGE) using SAFT-γ Mie’ by Silvia Di Lecce et al., RSC Adv., 2019, 9, 38017–38031. DOI: 10.1039/C9RA07057E

Percutaneous retrieval of fractured intravascular catheters in premature infants

BACKGROUND

Premature infants often require long-term indwelling intravascular catheters. Occasionally, catheters fracture and migrate into cardiovascular structures, risking perforation, infection, thrombosis, and interference with cardiac and valve function. This case series describes our experience with percutaneous retrieval of broken intravascular catheters.

METHODS

A gooseneck micro-snare was used to retrieve fractured catheters in four premature infants, weighing between 840 and 1930 grams.

RESULTS

All procedures were successful without complications.

CONCLUSIONS

Gooseneck-snare retrieval of broken indwelling intravascular catheters can be performed safely and successfully in premature infants even those that weigh less than 1000 grams.

An investigation of free-energy-averaged (coarse-grained) potentials for fluid adsorption on heterogeneous solid surfaces

Coarse-grained, two-body fluid-solid potentials provide a simple way to describe the interaction between a fluid molecule and a solid in adsorption theories, and also a means to reduce the computational expense in molecular simulations, compared to those employing full atomistic detail. Here we investigate the applicability of a recently proposed mapping procedure to obtain free-energy-averaged (FEA) fluid-solid interactions for fluids on various heterogeneous surfaces. Methane and graphite are chosen as the fluid and the solid, respectively, and the surface graphene layer is modified to create chemical and geometrical heterogeneities; for the latter surfaces, the FEA mapping is appropriately modified to account for vacancies. Adsorption isotherms and fluid density profiles are obtained by performing grand canonical Monte Carlo (GCMC) simulations for explicit-solid and FEA-potential representations, and are compared to gain insights about the applicability and limitations of the FEA potentials. For solids with homogeneous and chemically heterogeneous surfaces, adsorption isotherms and density profiles obtained using FEA potentials are in good agreement with those obtained using an explicit-solid representation. For surfaces containing vacancies, isotherms and density profiles obtained using the unmodified FEA potential differ significantly from their explicit-surface analogues. When using the FEA potential obtained with the modified mapping procedure some deviations are still seen at very high pressure, however, at low to moderate pressures, agreement is, once again, good.

Multicenter prospective clinical study to evaluate children short-term neurodevelopmental outcome in congenital heart disease (children NEURO-HEART): study protocol

Background

Congenital heart disease (CHD) is the most prevalent congenital malformation affecting 1 in 100 newborns. While advances in early diagnosis and postnatal management have increased survival in CHD children, worrying long-term outcomes, particularly neurodevelopmental disability, have emerged as a key prognostic factor in the counseling of these pregnancies.

Methods

Eligible participants are women presenting at 20 to < 37 weeks of gestation carrying a fetus with CHD. Maternal/neonatal recordings are performed at regular intervals, from the fetal period to 24 months of age, and include: placental and fetal hemodynamics, fetal brain magnetic resonance imaging (MRI), functional echocardiography, cerebral oxymetry, electroencephalography and serum neurological and cardiac biomarkers. Neurodevelopmental assessment is planned at 12 months of age using the ages and stages questionnaire (ASQ) and at 24 months of age with the Bayley-III test. Target recruitment is at least 150 cases classified in three groups according to three main severe CHD groups: transposition of great arteries (TGA), Tetralogy of Fallot (TOF) and Left Ventricular Outflow Tract Obstruction (LVOTO).

Discussion

The results of NEURO-HEART study will provide the most comprehensive knowledge until date of children’s neurologic prognosis in CHD and will have the potential for developing future clinical decisive tools and improving preventive strategies in CHD.

Trial registration

NCT02996630, on 4th December 2016 (retrospectively registered).

Water scarcity alleviation through water footprint reduction in agriculture: The effect of soil mulching and drip irrigation

Water scarcity has received global attention in the last decade as it challenges food security in arid and semi-arid regions, particularly in the Middle East and North Africa. This research assesses the possible alleviation of water scarcity by reducing the water footprint in crop production through the application of soil mulching and drip irrigation. The study is the first to do so at catchment scale, taking into account various crops, multi-cropping, cropping patterns, and spatial differences in climate, soil, and field management factors, using field survey and local data. The AquaCrop-OS model and the global water footprint assessment (WFA) standard were used to assess the green and blue water footprint (WF) of ten major crops in the Upper Litani Basin (ULB) in Lebanon. The blue water saving and blue water scarcity reduction under these two alternative practices were compared to the current situation. The results show that the WF of crop production is more sensitive to climate than soil type. The annual blue WF of summer crops was largest when water availability was lowest. Mulching reduced the blue WF by 3.6% and mulching combined with drip irrigation reduced it by 4.7%. The blue water saving from mulching was estimated about 6.3 million m³/y and from mulching combined with drip irrigation about 8.3 million m³/y. This is substantial but by far not sufficient to reduce the overall blue WF in summer to a sustainable level at catchment scale.

Hybrid QSPR models for the prediction of the free energy of solvation of organic solute/solvent pairs

Due to the importance of the Gibbs free energy of solvation in understanding many physicochemical phenomena, including lipophilicity, phase equilibria and liquid-phase reaction equilibrium and kinetics, there is a need for predictive models that can be applied across large sets of solvents and solutes. In this paper, we propose two quantitative structure property relationships (QSPRs) to predict the Gibbs free energy of solvation, developed using partial least squares (PLS) and multivariate linear regression (MLR) methods for 295 solutes in 210 solvents with total number of data points of 1777. Unlike other QSPR models, the proposed models are not restricted to a specific solvent or solute. Furthermore, while most QSPR models include either experimental or quantum mechanical descriptors, the proposed models combine both, using experimental descriptors to represent the solvent and quantum mechanical descriptors to represent the solute. Up to twelve experimental descriptors and nine quantum mechanical descriptors are considered in the proposed models. Extensive internal and external validation is undertaken to assess model accuracy in predicting the Gibbs free energy of solvation for a large number of solute/solvent pairs. The best MLR model, which includes three solute descriptors and two solvent properties, yields a coefficient of determination (R2) of 0.88 and a root mean squared error (RMSE) of 0.59 kcal mol-1 for the training set. The best PLS model includes six latent variables, and has an R2 value of 0.91 and a RMSE of 0.52 kcal mol-1. The proposed models are compared to selected results based on continuum solvation quantum chemistry calculations. They enable the fast prediction of the Gibbs free energy of solvation of a wide range of solutes in different solvents.

Modelling and prediction of the thermophysical properties of aqueous mixtures of choline geranate and geranic acid (CAGE) using SAFT-γ Mie

Deep-eutectic solvents and room temperature ionic liquids are increasingly recognised as appropriate materials for use as active pharmaceutical ingredients and formulation additives. Aqueous mixtures of choline and geranate (CAGE), in particular, have been shown to offer promising biomedical properties but understanding the thermophysical behaviour of these mixtures remains limited. Here, we develop interaction potentials for use in the SAFT-γ Mie group-contribution approach, to study the thermodynamic properties and phase behaviour of aqueous mixtures of choline geranate and geranic acid. The determination of the interaction parameters between chemical functional groups is carried out in a sequential fashion, characterising each group based on those previously developed. The parameters of the groups relevant to geranic acid are estimated using experimental fluid phase-equilibrium data such as vapour pressure and saturated-liquid density of simple pure components (n-alkenes, branched alkenes and carboxylic acids) and the phase equilibrium data of mixtures (aqueous solutions of branched alkenes and of carboxylic acids). Geranate is represented by further incorporating the anionic carboxylate group, COO⁻, which is characterised using aqueous solution data of sodium carboxylate salts, assuming full dissociation of the salt in water. Choline is described by incorporating the cationic quaternary ammonium group, N⁺, using data for choline chloride solutions. The osmotic pressure of aqueous mixtures of CAGE at several concentrations is predicted and compared to experimental data obtained as part of our work to assess the accuracy of the modelling platform. The SAFT-γ Mie approach is shown to be predictive, providing a good description of the measured data for a wide range of mixtures and properties. Furthermore, the new group-interaction parameters needed to represent CAGE extend the set of functional groups of the group-contribution approach, and can be used in a transferable way to predict the properties of systems beyond those studied in the current work.

The properties of aqueous solutions of the CAGE deep eutectic solvent are predicted with the SAFT-γ Mie approach.

Longitudinal change of sFlt-1/PlGF ratio in singleton pregnancy with early-onset fetal growth restriction

OBJECTIVE

To describe the evolution of soluble fms-like tyrosine kinase-1 to placental growth factor (sFlt-1/PlGF) ratio in the last 5 weeks prior to delivery in singleton pregnancy complicated by early-onset fetal growth restriction (FGR), with or without pre-eclampsia (PE).

METHODS

This was a prospective observational cohort study of early-onset FGR cases that underwent serial assessment of maternal serum sFlt-1/PlGF ratio from diagnosis to delivery. Measurements were made at weekly intervals and within the last 48 h before birth. Absolute values and percentage increase between time intervals were computed, and previously described cut-off values of 38 (suspicion of PE), 85 (aids diagnosis of PE) and 655 (high risk for imminent delivery) were used for analysis of the sFlt-1/PlGF ratio. We compared findings between cases with early-onset FGR only (n = 37) and those that additionally developed PE (n = 36).

RESULTS

Overall perinatal survival was 63/73 (86.3%). A sFlt-1/PlGF ratio above 38 was observed 4 weeks before delivery in most FGR-only and FGR with PE cases (73% and 100%, respectively), but absolute values of sFlt-1/PlGF were significantly higher in FGR cases with PE. Extremely elevated values of the ratio (≥ 655) within the last 48 h before delivery were found in 65% of cases of FGR with PE, but in only 8% of isolated FGR cases (P < 0.001).

CONCLUSION

Elevated sFlt-1/PlGF was observed in most early-onset FGR pregnancies from 4 weeks before delivery, and values were even higher if there was concurrent PE. However, serial measurements of the ratio were of limited value, being useful only to anticipate the need for imminent delivery in cases of FGR with PE when sFlt-1/PlGF values ≥ 655 were reached. Copyright © 2017 ISUOG. Published by John Wiley & Sons Ltd.

Clinical implementation of the sFlt-1/PlGF ratio to identify preeclampsia and fetal growth restriction: A prospective cohort study

OBJECTIVE

To analyze the usefulness of a clinical protocol for early detection of preeclampsia and/or fetal growth restriction (PE/FGR) using, in previously selected pregnancies, the measurement of the sFlt-1/PlGF ratio at 24-28 weeks of gestation.

STUDY DESIGN

Prospective observational cohort study carried out in a single tertiary hospital in Spain. 5601 consecutive singleton pregnancies with complete follow-up were included. High-risk women for PE/FGR were selected by combining data from maternal history and second trimester uterine artery Doppler. Subsequently these patients underwent intensive monitoring, including the measurement of the sFlt-1/PlGF ratio at 24-28 weeks to predict PE/FGR.

MAIN OUTCOME MEASURES

Early, intermediate and late PE/FGR (delivery <32 + 0, 32 + 0 - <36 + 0 and ≥36 + 0 weeks, respectively).

RESULTS

Overall incidence of early, intermediate and late PE/FGR was 0.3%, 0.7% and 3.2%, respectively, being higher in the 4.3% of women selected for intensive monitoring: 5.8%, 8.7% and 15.4%, respectively (all p < 0.001). The area under the curve (AUC) with 95%CI of the sFlt-1/PlGF ratio for detecting early PE/FGR was 0.98 (0.97-1.00), and the sFlt-1/PlGF ratio >95th centile showed a sensitivity (%) of 100 (95%CI, 78.5-100) and specificity (%) of 80.6 (95%CI, 75.0-85.2). The AUC of the sFlt-1/PlGF ratio for detecting intermediate and late PE/FGR was of 0.87 (95%CI, 0.77-0.97) and 0.68 (95%CI, 0.58-0.79), respectively.

CONCLUSION

A contingent strategy of measuring the sFlt-1/PlGF ratio at 24-28 weeks in women previously selected by clinical factors and uterine artery Doppler enables an accurate prediction of PE/FGR. This performance is optimal to predict PE/FGR requiring delivery before 32 weeks.

On the equilibrium contact angle of sessile liquid drops from molecular dynamics simulations

We present a new methodology to estimate the contact angles of sessile drops from molecular simulations by using the Gaussian convolution method of Willard and Chandler [J. Phys. Chem. B 114, 1954-1958 (2010)] to calculate the coarse-grained density from atomic coordinates. The iso-density contour with average coarse-grained density value equal to half of the bulk liquid density is identified as the average liquid-vapor (LV) interface. Angles between the unit normal vectors to the average LV interface and unit normal vector to the solid surface, as a function of the distance normal to the solid surface, are calculated. The cosines of these angles are extrapolated to the three-phase contact line to estimate the sessile drop contact angle. The proposed methodology, which is relatively easy to implement, is systematically applied to three systems: (i) a Lennard-Jones (LJ) drop on a featureless LJ 9-3 surface; (ii) an SPC/E water drop on a featureless LJ 9-3 surface; and (iii) an SPC/E water drop on a graphite surface. The sessile drop contact angles estimated with our methodology for the first two systems are shown to be in good agreement with the angles predicted from Young's equation. The interfacial tensions required for this equation are computed by employing the test-area perturbation method for the corresponding planar interfaces. Our findings suggest that the widely adopted spherical-cap approximation should be used with caution, as it could take a long time for a sessile drop to relax to a spherical shape, of the order of 100 ns, especially for water molecules initiated in a lattice configuration on a solid surface. But even though a water drop can take a long time to reach the spherical shape, we find that the contact angle is well established much faster and the drop evolves toward the spherical shape following a constant-contact-angle relaxation dynamics. Making use of this observation, our methodology allows a good estimation of the sessile drop contact angle values even for moderate system sizes (with, e.g., 4000 molecules), without the need for long simulation times to reach the spherical shape.

Lung adenocarcinoma during pregnancy: clinical case and literature review

Lung cancer during pregnancy is a very rare disease with less than 70 cases published to date. Information about specific lung cancer as adenocarcinoma is even more limited. Genetic techniques can detect oncogene mutations which seem to be more frequent among cases of lung cancer in pregnant women and could determine both the treatment and prognosis. We present a recent case seen at our hospital and a literature review.

The role of angiogenic biomarkers and uterine artery Doppler in pregnant women with systemic lupus erythematosus or antiphospholipid syndrome

OBJECTIVE

To evaluate the usefulness of the uterine artery mean pulsatility index (mPI-UtA) and the sFlt-1/PlGF ratio in women with systemic lupus erythematosus (SLE) or antiphospholipid syndrome (APS) for the prediction of placental dysfunction-related adverse outcomes (AO), namely pre-eclampsia (PE) and intrauterine growth restriction (IUGR), and for differential diagnosis between PE and SLE flares.

STUDY DESIGN

Observational prospective cohort study of 57 pregnant women with SLE or APS.

MAIN OUTCOME MEASURES

mPI-UtA and sFlt-1/PlGF ratio in maternal serum were obtained at four gestational age periods (11-14, 19-22, 24-29 and 32-34 weeks). Comparisons among pregnancies with normal outcome, SLE flare and AO were performed.

RESULTS

Overall, we had 44 ongoing pregnancies (36 with SLE and 8 with APS) of which most (n = 35, 80%) were uncomplicated. The overall rate of AO was 9% (n = 4), that was diagnosed at a mean (SD) gestational age of 34.1 (7.5) weeks. Five SLE patients (14%) suffered a SLE flare. No differences for these markers were found between normal pregnancies and those affected by SLE flare. mUtA-PI values were significantly higher in the AO group when compared with normal and SLE flare groups, at 19-22 weeks (1.52, 0.95 and 0.76) and 32-34 weeks (1.13, 0.68 and 0.65), respectively. The sFlt-1/PlGF ratio was significantly higher in the AO group at 24-29 weeks (191.1, 3.1 and 9.2), respectively.

CONCLUSION

Our preliminary results indicate that mPI-UtA and sFlt1/PlGF ratio may be useful to predict AO in women with SLE, and to make the differential diagnosis with a lupus flare.

Predicting the Fluid-Phase Behavior of Aqueous Solutions of ELP (VPGVG) Sequences Using SAFT-VR

The statistical associating fluid theory for potentials of variable range (SAFT-VR) is used to predict the fluid phase behavior of elastin-like polypeptide (ELP) sequences in aqueous solution with special focus on the loci of lower critical solution temperatures (LCSTs). A SAFT-VR model for these solutions is developed following a coarse-graining approach combining information from atomistic simulations and from previous SAFT models for previously reported relevant systems. Constant-pressure temperature-composition phase diagrams are determined for solutions of (VPGVG)_n sequences + water with n = 1 to 300. The SAFT-VR equation of state lends itself to the straightforward calculation of phase boundaries so that complete fluid-phase equilibria can be calculated efficiently. A broad range of thermodynamic conditions of temperature and pressure are considered, and regions of vapor-liquid and liquid-liquid coexistence, including LCSTs, are found. The calculated phase boundaries at low concentrations match those measured experimentally. The temperature-composition phase diagrams of the aqueous ELP solutions at low pressure (0.1 MPa) are similar to those of types V and VI phase behavior in the classification of Scott and van Konynenburg. An analysis of the high-pressure phase behavior confirms, however, that a closed-loop liquid-liquid immiscibility region, separate from the gas-liquid envelope, is present for aqueous solutions of (VPGVG)₃₀; such a phase diagram is typical of type VI phase behavior. ELPs with shorter lengths exhibit both liquid-liquid and gas-liquid regions, both of which become less extensive as the chain length of the ELP is decreased. The strength of the hydrogen-bonding interaction is also found to affect the phase diagram of the (VPGVG)₃₀ system in that the liquid-liquid and gas-liquid regions expand as the hydrogen-bonding strength is decreased and shrink as it is increased. The LCSTs of the mixtures are seen to decrease as the ELP chain length is increased.