Intravitreal injections primary prevention: a case-control study

OBJECTIVE: Intravitreal injec tions (IVI) of therapeutic substances are one of the most common procedures in ophthalmol ogy and, for sure, the most feared complica tion of them is endophthalmitis. Nowadays, a precise prophylactic protocol does not exist to avoid these infections, and the role of new anti septic drops is an interesting field of research in this regard. In this article we are going to dis cuss the tolerability and the efficacy of a new antiseptic drop based on a solution of hexam idine diisethionate 0.05% (Keratosept®; Brus chettini Srl, Genoa, Italy). PATIENTS AND METHODS: This was a sin gle-center, case-control study, comparing the in vivo effect of hexamidine diisethionate 0.05% with povidone iodine 0.6% solution during IVI program. Ocular bacterial flora composition was analyzed with a conjunctival swab on day 0. After injection patients underwent antibac terial prophylaxis with Keratosept for 3 days or povidone iodine 0.6%. A second conjunctival swab was collected on day 4 and patients were asked to fulfill a questionnaire based on the OS Di model, to investigate the ocular tolerability of the drug administered. RESULTS: Efficacy was tested on 50 patients, 25 of whom received hexamidine diisethionate 0.05% drops and the other 25 received povidone iodine 0.6% solution drops, 100 total conjuncti val swabs, 18 positive swabs before and 9 after treatment for the first group and 13 before and 5 after for the second one. Tolerability was tested on 104 patients, 55 underwent Keratosept thera py and 49 povidone iodine one. CONCLUSIONS: Keratosept demonstrated a good efficacy profile with better tolerability against povidone iodine in the analyzed sample

Genomic Evolution of Two Acinetobacter baumannii Clinical Strains from ST-2 Clones Isolated in 2000 and 2010 (ST-2_clon_2000 and ST-2_clon_2010)

Acinetobacter baumannii is a successful nosocomial pathogen due to its ability to persist in hospital environments by acquiring mobile elements such as transposons, plasmids, and phages. In this study, we compared two genomes of A. baumannii clinical strains isolated in 2000 (ST-2_clon_2000) and 2010 (ST-2_clon_2010) from GenBank project PRJNA308422

Double hit: mantle cell lymphoma associated with squamous cell carcinoma or chalazion? A case report

A few cases of ocular adnexal neoformations related with MCL have been reported in the literature. We present a rare case of tumour duplicity: mantle cell lymphomas (MCL) associated with squamous cell carcinoma (SCC) localised at the level of the ocular adnexa, on left upper eye lid mass since two years of 18 mounth duration in a 57-year-old man who had previously been diagnosed with stage IV MCL for 14 months. The patient had been treated according to the R-DHAP scheme for 4 cycles, in anticipation of a possible autologous HSC transplant, which was not carried out due to a positive diagnosis at the end-of-cycle osteomedullary biopsy (BOM) check. Ophthalmological examination was performed, and afther surgical removal histological examination proved to be squamous cell carcinoma (SCC). The aim of this case report is to decode the signs, symptoms and factors associated with the formation, that appear to be a chalazion, at an early stage in order to prevent the overgrowth of the mass that could invade the surrounding tissues by infiltrating them, as well as negative aesthetic outcomes of the surgery due to the excessive size of the mass, which could compromise the patient's quality of life

Efficacy of 190 mcg fluocinolone acetonide intravitreal implant: microperimetry and OCT real-life data

Objective: Fluocinolone acetonide is a valid alternative treatment for patients with chronic diabetic macular edema (DME) with poor response to anti-vascular endothelial growth factor (VEGF) therapy. The purpose of this study is to report the efficacy and safety of ILUVIEN® implant in pseudophakic eyes with persistent DME. Patients and methods: This is a single-centre pilot-study of 8 patients with persistent DME treated with the ILUVIEN implant, despite previous anti-vascular endothelial growth factor and/or steroid treatment. Best-corrected visual acuity (BCVA), optical coherence tomography (OCT) central retinal thickness, intraocular pressure (IOP) and microperimetric data were evaluated at baseline and month 1, 3 and 6 post treatment. Results: All data are presented as mean and standard deviation. At baseline, 1, 3 and 6 months, we had BCVA of 0.26±0.22, 0.38±0.27, 0.48±0.27 and 0.46±0.24; IOP of 15.00±2.67, 15.50±3.16, 14.88±2.42 and 15.63±2.67 mmHg; macular thickness of 652±231, 487±278, 475±287 and 413±211 µm; macular sensitivity of 6.83±4.20, 6.13±3.72, 7.68±3.40 and 7.71±3.33 dB; bivariate contour elliptic area (BCEA) 95.4% 3.8±3.42, 6.06±10.06, 3.05±2.46 and 2.59±2.19°2. Conclusions: According to the results of our study, fluocinolone acetonide (FAc) is a valid therapy option despite some limitations. It has been evidenced that FAc is more effective in patients with mild central macular thickening, while in those with modest to severe central macular thickness (CMT), different therapy strategies should be considered

Recovering star formation histories: Integrated-light analyses vs stellar colour-magnitude diagrams

Accurate star formation histories (SFHs) of galaxies are fundamental for understanding the build-up of their stellar content. However, the most accurate SFHs - those obtained from colour-magnitude diagrams (CMDs) of resolved stars reaching the oldest main sequence turnoffs (oMSTO) - are presently limited to a few systems in the Local Group. It is therefore crucial to determine the reliability and range of applicability of SFHs derived from integrated light spectroscopy, as this affects our understanding of unresolved galaxies from low to high redshift. To evaluate the reliability of current full spectral fitting techniques in deriving SFHs from integrated light spectroscopy by comparing SFHs from integrated spectra to those obtained from deep CMDs of resolved stars. We have obtained a high signal--to--noise (S/N $\sim$ 36.3 per \AA) integrated spectrum of a field in the bar of the Large Magellanic Cloud (LMC) using EFOSC2 at the 3.6 meter telescope at La Silla Observatory. For this same field, resolved stellar data reaching the oMSTO are available. We have compared the star formation rate (SFR) as a function of time and the age-metallicity relation (AMR) obtained from the integrated spectrum using {\tt STECKMAP}, and the CMD using the IAC-star/MinnIAC/IAC-pop set of routines. For the sake of completeness we also use and discuss other synthesis codes ({\tt STARLIGHT} and {\tt ULySS}) to derive the SFR and AMR from the integrated LMC spectrum. We find very good agreement (average differences $\sim$ 4.1 $\%$) between the SFR(t) and the AMR obtained using {\tt STECKMAP} on the integrated light spectrum, and the CMD analysis. {\tt STECKMAP} minimizes the impact of the age-metallicity degeneracy and has the advantage of preferring smooth solutions to recover complex SFHs by means of a penalized $\chi^2$. [abridged]Comment: 23 pages, 24 figures. Accepted for publication in A&A (6 Sep 2015

Estimation of the Cooling Rate of Six Olive Cultivars Using Thermal Imaging

Bringing the olive harvest period forward leads to storing fruit in field temperatures that risk jeopardizing its quality. Knowledge about the bio-thermal characteristics of olives is crucial when considering their cooling, although published research on the subject is limited. In this work, the cooling rate of the fruit of six olive cultivars has been empirically determined by measuring the evolution of their low temperature under controlled conditions by thermal imaging. Based on these data, the cooling time needed to cool the fruit to 22 °C was estimated, considering the biometric characteristics of the individual fruit, a field temperature from 26 to 42 °C, and a room cooling temperature from −8 to −20 °C. The results showed differences among the cultivars and the need to further investigate the specific heat requirements for small varieties and the impact of the conduction factor on the heavier ones. The simulation suggests that between 2 min (for the light Arbequina and Koroneiki cultivars) and 5 min (for the heavier Verdial and Gordal cultivars) suffice to cool the fruit to the desired temperature with a room temperature of −16 °C. These results show the feasibility of developing technological solutions for cooling olives before their industrial processing with industrial applications such as cooling tunnels on individual fruit

Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology

Protein-protein interactions (PPIs) play a crucial role in cellular processes. In the present work, a new approach is proposed to construct a PPI predictor training a support vector machine model through a mutual information filter-wrapper parallel feature selection algorithm and an iterative and hierarchical clustering to select a relevance negative training set. By means of a selected suboptimum set of features, the constructed support vector machine model is able to classify PPIs with high accuracy in any positive and negative datasets

Predicting the accuracy of multiple sequence alignment algorithms by using computational intelligent techniques

Multiple sequence alignments (MSAs) have become one of the most studied approaches in bioinformatics to perform other outstanding tasks such as structure prediction, biological function analysis or next-generation sequencing. However, current MSA algorithms do not always provide consistent solutions, since alignments become increasingly difficult when dealing with low similarity sequences. As widely known, these algorithms directly depend on specific features of the sequences, causing relevant influence on the alignment accuracy. Many MSA tools have been recently designed but it is not possible to know in advance which one is the most suitable for a particular set of sequences. In this work, we analyze some of the most used algorithms presented in the bibliography and their dependences on several features. A novel intelligent algorithm based on least square support vector machine is then developed to predict how accurate each alignment could be, depending on its analyzed features. This algorithm is performed with a dataset of 2180 MSAs. The proposed system first estimates the accuracy of possible alignments. The most promising methodologies are then selected in order to align each set of sequences. Since only one selected algorithm is run, the computational time is not excessively increased