Real-life effectiveness of sofosbuvir/velpatasvir/voxilaprevir in hepatitis C patients previously treated with sofosbuvir/velpatasvir or glecaprevir/pibrentasvir.

BACKGROUND: Sofosbuvir, velpatasvir and voxilaprevir (SOF/VEL/VOX) is the recommended rescue therapy for patients with chronic hepatitis C infection who fail direct-acting antivirals (DAAs). Data are limited on the effectiveness of this treatment after the current first-line therapies. Our aim was to analyse the effectiveness and safety of SOF/VEL/VOX among patients failing sofosbuvir/velpatasvir (SOF/VEL) or glecaprevir/pibrentasvir (GLE/PIB). METHODS: Retrospective multicentre study (26 Spanish hospitals), including chronic hepatitis C patients unsuccessfully treated with SOF/VEL or GLE/PIB, and retreated with SOF/VEL/VOX ± ribavirin for 12 weeks between December 2017 and December 2022. RESULTS: In total, 142 patients included: 100 (70.4%) had failed SOF/VEL and 42 (29.6%) GLE/PIB. Patients were mainly men (84.5%), White (93.9%), with hepatitis C virus genotype (GT) 3 (49.6%) and 47.2% had liver cirrhosis. Sustained virological response (SVR) was evaluated in 132 patients who completed SOF/VEL/VOX and were followed 12 weeks after end of treatment; 117 (88.6%) achieved SVR. There were no significant differences in SVR rates according to initial DAA treatment (SOF/VEL 87.9% vs. GLE/PIB 90.2%, p = 0.8), cirrhosis (no cirrhosis 90% vs. cirrhosis 87.1%, p = 0.6) or GT3 infection (non-GT3 91.9% vs. GT3 85.5%, p = 0.3). However, when considering the concurrent presence of SOF/VEL treatment, cirrhosis and GT3 infection, SVR rates dropped to 82.8%. Ribavirin was added in 8 (6%) patients, all achieved SVR. CONCLUSION: SOF/VEL/VOX is an effective rescue therapy for failures to SOF/VEL or GLE/PIB, with an SVR of 88.6%. Factors previously linked to lower SVR rates, such as GT3 infection, cirrhosis and first-line therapy with SOF/VEL were not associated with lower SVRs.

OralImmunoAnalyser: a software tool for immunohistochemical assessment of oral leukoplakia using image segmentation and classification models.

Oral cancer ranks sixteenth amongst types of cancer by number of deaths. Many oral cancers are developed from potentially malignant disorders such as oral leukoplakia, whose most frequent predictor is the presence of epithelial dysplasia. Immunohistochemical staining using cell proliferation biomarkers such as ki67 is a complementary technique to improve the diagnosis and prognosis of oral leukoplakia. The cell counting of these images was traditionally done manually, which is time-consuming and not very reproducible due to intra- and inter-observer variability. The software presently available is not suitable for this task. This article presents the OralImmunoAnalyser software (registered by the University of Santiago de Compostela-USC), which combines automatic image processing with a friendly graphical user interface that allows investigators to oversee and easily correct the automatically recognized cells before quantification. OralImmunoAnalyser is able to count the number of cells in three staining levels and each epithelial layer. Operating in the daily work of the Odontology Faculty, it registered a sensitivity of 64.4% and specificity of 93% for automatic cell detection, with an accuracy of 79.8% for cell classification. Although expert supervision is needed before quantification, OIA reduces the expert analysis time by 56.5% compared to manual counting, avoiding mistakes because the user can check the cells counted. Hence, the SUS questionnaire reported a mean score of 80.9, which means that the system was perceived from good to excellent. OralImmunoAnalyser is accurate, trustworthy, and easy to use in daily practice in biomedical labs. The software, for Windows and Linux, with the images used in this study, can be downloaded from https://citius.usc.es/transferencia/software/oralimmunoanalyser for research purposes upon acceptance.

Software BreastAnalyser for the semi-automatic analysis of breast cancer immunohistochemical images.

Breast cancer is the most diagnosed cancer worldwide and represents the fifth cause of cancer mortality globally. It is a highly heterogeneous disease, that comprises various molecular subtypes, often diagnosed by immunohistochemistry. This technique is widely employed in basic, translational and pathological anatomy research, where it can support the oncological diagnosis, therapeutic decisions and biomarker discovery. Nevertheless, its evaluation is often qualitative, raising the need for accurate quantitation methodologies. We present the software BreastAnalyser, a valuable and reliable tool to automatically measure the area of 3,3'-diaminobenzidine tetrahydrocholoride (DAB)-brown-stained proteins detected by immunohistochemistry. BreastAnalyser also automatically counts cell nuclei and classifies them according to their DAB-brown-staining level. This is performed using sophisticated segmentation algorithms that consider intrinsic image variability and save image normalization time. BreastAnalyser has a clean, friendly and intuitive interface that allows to supervise the quantitations performed by the user, to annotate images and to unify the experts' criteria. BreastAnalyser was validated in representative human breast cancer immunohistochemistry images detecting various antigens. According to the automatic processing, the DAB-brown area was almost perfectly recognized, being the average difference between true and computer DAB-brown percentage lower than 0.7 points for all sets. The detection of nuclei allowed proper cell density relativization of the brown signal for comparison purposes between the different patients. BreastAnalyser obtained a score of 85.5 using the system usability scale questionnaire, which means that the tool is perceived as excellent by the experts. In the biomedical context, the connexin43 (Cx43) protein was found to be significantly downregulated in human core needle invasive breast cancer samples when compared to normal breast, with a trend to decrease as the subtype malignancy increased. Higher Cx43 protein levels were significantly associated to lower cancer recurrence risk in Oncotype DX-tested luminal B HER2- breast cancer tissues. BreastAnalyser and the annotated images are publically available https://citius.usc.es/transferencia/software/breastanalyser for research purposes.

Experimental investigation on the physical, microstructural, and mechanical properties of hemp limecrete.

This paper investigates the hemp limecrete mechanical and microstructural performance of a new sustainable and environmental friendly building material. Several studies have investigated the hemp limecrete focusing on the non-structural applications. The newly developed hemp limecrete consists of high mechanical and microstructural properties. The specimens were prepared with varying lengths and proportions of hemp fibers with lime and tested for compressive strength, flexural strength, thermal conductivity and microstructural analysis like SEM and EDS. The study found that the optimal fiber content for making mortars was between 2 and 4%. This conclusion was reached after analyzing the influence of fiber length and ratio on the properties of the mortars. The dry unit weight decreased when the fiber content was higher than 4%. In terms of strength, the study found that the flexural strength of the hemp limecrete improved with an increase in fiber ratio, but the compressive strength decreased. However, with 2% hemp fiber, compressive strengths of 3.48 MPa and above were obtained. The study also highlighted the good thermal insulation properties and dimensional stability of hemp limecrete. These findings have important implications for the use of hemp limecrete as a sustainable building material. The results suggest that hemp limecrete has the potential to be a viable alternative to conventional concrete in specific applications, particularly in areas where environmental sustainability is a priority.

CT-Based Radiomics to Predict KRAS Mutation in CRC Patients Using a Machine Learning Algorithm: A Retrospective Study.

Colorectal cancer (CRC) is one of the most common types of cancer worldwide. The KRAS mutation is present in 30-50% of CRC patients. This mutation confers resistance to treatment with anti-EGFR therapy. This article aims at proving that computer tomography (CT)-based radiomics can predict the KRAS mutation in CRC patients. The piece is a retrospective study with 56 CRC patients from the Hospital of Santiago de Compostela, Spain. All patients had a confirmatory pathological analysis of the KRAS status. Radiomics features were obtained using an abdominal contrast enhancement CT (CECT) before applying any treatments. We used several classifiers, including AdaBoost, neural network, decision tree, support vector machine, and random forest, to predict the presence or absence of KRAS mutation. The most reliable prediction was achieved using the AdaBoost ensemble on clinical patient data, with a kappa and accuracy of 53.7% and 76.8%, respectively. The sensitivity and specificity were 73.3% and 80.8%. Using texture descriptors, the best accuracy and kappa were 73.2% and 46%, respectively, with sensitivity and specificity of 76.7% and 69.2%, also showing a correlation between texture patterns on CT images and KRAS mutation. Radiomics could help manage CRC patients, and in the future, it could have a crucial role in diagnosing CRC patients ahead of invasive methods.

Is the diagnostic yield of mediastinal lymph node cryobiopsy (cryoEBUS) better for diagnosing mediastinal node involvement compared to endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA)? A systematic review.

INTRODUCTION: New tools such as cryobiopsy of mediastinal lymph nodes (cryoEBUS) have been described to improve the diagnostic usefulness of endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA). The literature suggests that this novel procedure could be associated with greater diagnostic usefulness than conventional EBUS-TBNA. METHODS: To develop a systematic analysis and meta-analysis on the diagnostic diagnostic yield and safety of cryobiopsy of hilar and mediastinal adenopathies compared to EBUS-TBNA. RESULTS: Seven studies that had included a total of 555 patients were considered in this review, with 365 (65.7%) of these patients having an etiology of malignant lymph node involvement. The overall diagnostic usefulness of cryoEBUS was higher compared to EBUS-TBNA (92% vs. 80%). However, when the results were analysed according to the specific aetiologies of the adenopathies, cryoEBUS was especially useful in cases of lymphomas or non-pulmonary carcinomas (83% vs. 42%) and in cases that were benign (87% vs. 60.1%), with no significant differences being found in specific cases of lung cancer. For lymphoma, cryoEBUS was diagnostic in 87% of cases compared to 12% for EBUS-TBNA and in addition, also allowed the characterisation of every lymphoma subtype. Genetic studies and immunohistochemical determination of PD-L1 was possible in almost all (97%) of the samples obtained by cryoEBUS, while this was only possible in 79% of those obtained by EBUS-TBNA. The most frequent complication was light bleeding, which was described in up to 85% of cases in some series. CONCLUSION: CryoEBUS could represent a promising technique in the diagnostic algorithm used for mediastinal and hilar involvement. Although cryoEBUS did not significantly improve the diagnosis of lung cancer compared to EBUS-TBNA, the results were significantly better in patients with benign pathologies and other tumour types, including lymphomas. In addition, it seems that the samples obtained by cryoEBUS better defined the histological subtypes of lymphoma and allowed complete molecular characterisation in cases of lung cancer. The technique has proven to be safe and no serious complications were described after the procedure.

ST­segment elevation associated with intraparenchymal hemorrhage: A case report.

The electrocardiogram (ECG) changes in patients with intraparenchymal hemorrhage (IPH) have remained largely elusive and no case reports are currently available in the scientific literature. The medical management of a patient with ST-segment elevation associated with IPH was described in the present study. The case report describes a 78-year-old male patient who presented with ST-segment elevation in V1, V2, V3 and V4 on ECG. Initially, the case was managed therapeutically as an acute myocardial infarction. Later, the patient was transferred to a higher-level hospital, where a new ECG confirmed ST-segment elevation. Simple skull tomography was also performed, which revealed a spontaneous right basal ganglion in the context of an acute cerebrovascular accident of hypertensive origin. A transthoracic ECG was ordered, which revealed an ejection fraction of 65% with type I diastolic dysfunction due to relaxation disorders and without any signs of ischemia, intracavitary masses or thrombi. In addition to the presence of nonspecific ECG findings, clinicians should consider immediate brain computed tomography to confirm intracranial hemorrhage.

Robotic versus Laparoscopic Partial Nephrectomy in the New Era: Systematic Review.

(1) Background: In recent years there have been advances in imaging techniques, in addition to progress in the surgery of renal tumors directed towards minimally invasive techniques. Thus, nephron-sparing surgery has become the gold standard for the treatment of T1 renal masses. The aim of this study is to investigate the benefits of robotic partial nephrectomy in comparison with laparoscopic nephrectomy. (2) Methods: We performed a systematic review according to the PRISMA criteria during September 2022. We included clinical trials, and cohort and case-control studies published between 2000 and 2022. This comprised studies performed in adult patients with T1 renal cancer and studies comparing robotic with open and laparoscopic partial nephrectomy. A risk of bias assessment was performed according to the Newcastle-Ottawa scale. (3) Results: We observed lower hot ischemia times in the robotic surgery groups, although at the cost of an increase in total operative time, without appreciating the differences in terms of serious surgical complications (Clavien III-V). (4) Conclusions: Robotic partial nephrectomy is a safe procedure, with a shorter learning curve than laparoscopic surgery and with all the benefits of minimally invasive surgery.

Long-term follow-up of HCV-infected patients with end-stage chronic kidney disease after sustained virological response with direct-acting antiviral therapy.

BACKGROUND AND AIM: Patients with chronic kidney disease (CKD) and hepatitis C infection can be safely and effectively treated with direct-acting antivirals (DAAs). However, there is scarce data on the long-term impact of hepatitis C cure on CKD. The aim of this study was to assess the long-term mortality, morbidity and hepatic/renal function outcomes in a cohort of HCV-infected individuals with CKD treated with DAAs. METHODS: 135 HCV patients with CKD stage 3b-5 who received ombitasvir/paritaprevir/ritonavir±dasabuvir in a multicenter study were evaluated for long-term hepatic and renal outcomes and their associated mortality. RESULTS: 125 patients achieved SVR and 66 were included. Prior to SVR, 53 were under renal replacement therapy (RRT) and 25 (37.8%) had liver cirrhosis. After a follow-up of 4.5 years, 25 (38%) required kidney transplantation but none combined liver-kidney. No changes in renal function were observed among the 51 patients who did not receive renal transplant although eGFR values improved in those with baseline CKD stage 3b-4. Three (5.6%) subjects were weaned from RRT. Eighteen (27.3%) patients died, mostly from cardiovascular events; 2 developed liver decompensation and 1 hepatocellular carcinoma. No HCV reinfection was observed. CONCLUSIONS: Long-term mortality remained high among end-stage CKD patients despite HCV cure. Overall, no improvement in renal function was observed and a high proportion of patients required kidney transplantation. However, in CKD stage 3b-4 HCV cure may play a positive role in renal function.

Advanced Comparison of Phased Array and X-rays in the Inspection of Metallic Welding.

The most common nondestructive weld inspection technique is X-rays and, since a few years ago, the ultrasound-based phased array. Their comparison has been done from the top view of both, with the result that the phased array is much more efficient in discovering flaws. From the last studies of the authors, a welding flaw can be three-dimensionally reconstructed from the sectorial phased array information. The same methodology is applied to compare quantitatively X-rays and phased array on 15 metal inert/active (MIG/MAG) welding specimens covering pores, slag intrusion and cracks. The results can be summarized in the correlation of the top views and in the correlation profiles between the X-ray top-view and the reconstructed top-view at the depths from phased array in the weld. The maximum correlation is the depth when the flaw in the X-ray looks like that in the phased array records at some depth, leading to an effective quantitative comparison of X-rays and phased array.

A Machine Learning Approach in Autism Spectrum Disorders: From Sensory Processing to Behavior Problems.

Atypical sensory processing described in autism spectrum disorders (ASDs) frequently cascade into behavioral alterations: isolation, aggression, indifference, anxious/depressed states, or attention problems. Predictive machine learning models might refine the statistical explorations of the associations between them by finding out how these dimensions are related. This study investigates whether behavior problems can be predicted using sensory processing abilities. Participants were 72 children and adolescents (21 females) diagnosed with ASD, aged between 6 and 14 years (M = 7.83 years; SD = 2.80 years). Parents of the participants were invited to answer the Sensory Profile 2 (SP2) and the Child Behavior Checklist (CBCL) questionnaires. A collection of 26 supervised machine learning regression models of different families was developed to predict the CBCL outcomes using the SP2 scores. The most reliable predictions were for the following outcomes: total problems (using the items in the SP2 touch scale as inputs), anxiety/depression (using avoiding quadrant), social problems (registration), and externalizing scales, revealing interesting relations between CBCL outcomes and SP2 scales. The prediction reliability on the remaining outcomes was "moderate to good" except somatic complaints and rule-breaking, where it was "bad to moderate." Linear and ridge regression achieved the best prediction for a single outcome and globally, respectively, and gradient boosting machine achieved the best prediction in three outcomes. Results highlight the utility of several machine learning models in studying the predictive value of sensory processing impairments (with an early onset) on specific behavior alterations, providing evidences of relationship between sensory processing impairments and behavior problems in ASD.

Study of Oligonucleotides Access and Distribution in Human Peripheral Blood Mononuclear Cells.

Therapeutic oligonucleotides have achieved great clinical interest since their approval as drug agents by regulatory agencies but their access and distribution in blood cells are not completely known. We evaluated by flow cytometry the ability of short fluorescent scramble oligonucleotides (ON*) to access human peripheral blood mononuclear cells (PBMC) after incubating with ON* during 1 h and 7 days of culture follow-up 'in vitro'. Blood samples were treated with chemically modified oligonucleotides (phosphorothioate backbone and 2' O-Me ends) to resist nuclease digestion under culture conditions. The ON* internalization was determined after discarding the membrane-associated fluorescence by trypan blue quenching. Whereas the oligonucleotide accessed neutrophils and monocytes rapidly, achieving their maximum in 1 h and 24 h, respectively, lymphocytes required 7 days to achieve the maximum (80% of cells) transfection. The ON*ability to access lymphocyte types (T, B, and NK) and T cell subtypes (CD4+, CD8+, and CD4-CD8-) were similar, with T cells being more accessible. Regulatory CD4+ and CD8+ T cells were classified in low and high Foxp3 expressers, whose expression proved not to alter the ON* internalization during the first hour, achieving 53% of CD4+Foxp3+ and 40% of CD8+Foxp3+ cells. Our results contribute to understanding and improving the management of therapeutic ONs.

Influence of emulsifier type and encapsulating agent on the in vitro digestion of fish oil-loaded microcapsules produced by spray-drying.

The influence of the emulsifier type and the encapsulating agent on the bioaccessibility of microencapsulated fish oil was investigated. Fish oil-loaded microcapsules were produced by spray-drying using carbohydrate-based encapsulating agents (glucose syrup or maltodextrin). Whey protein concentrate hydrolysate (WPCH) or Tween 20 (TW20) were used as the emulsifiers. The microcapsules were subjected to a three-phase in vitro digestion (oral, gastric, and intestinal phase) and the changes in the physicochemical properties of the samples were monitored throughout the simulated gastrointestinal tract (oil droplet size, ζ-potential, and microstructure). The lipolysis rate and extent were evaluated at the intestinal digestion phase. Contrary to the encapsulating agent, the emulsifier used in the infeed emulsion formulation significantly influenced lipid digestion. WPCH-based interfacial layer prevented oil droplets coalescence during and after processing more efficiently than TW20, which resulted in an increased specific surface area for lipases to adsorb and thus a higher bioaccessibility of the microencapsulated oil.

Non-pharmacologic direct cost of a simplified strategy with glecaprevir/pibrentasvir for 8 weeks in naïve non-cirrhotic patients with hepatitis C implemented in clinical practice. The Just SIMPLE Study / Costes directos no farmacológicos de una estrategia simplificada con glecaprevir/pibrentasvir durante 8 semanas en pacientes naïve, no cirróticos, con hepatitis C, implementada en la práctica clínica. Estudio Just SIMPLE

Background and objective: The emergence of highly tolerable, effective, and shorter duration direct-acting antivirals (DAAs) regimens offers the opportunity to simplify hepatitis C virus management but medical costs are unknown. Thus, we aimed to determine the direct medical costs associated with a combo-simplified strategy (one-step diagnosis and low monitoring) to manage HCV infection within an 8-week glecaprevir/pibrentasvir (GLE/PIB) regimen in clinical practice in Spain. Patients and methods: Healthcare resources and clinical data were collected retrospectively from medical charts of 101 eligible patients at 11 hospitals. Participants were adult, treatment naïve subjects with HCV infection without cirrhosis in whom a combo-simplified strategy with GLE/PIB for 8 weeks were programmed between Apr-2018 and Nov-2018. Results: The GLE/PIB effectiveness was 100% (CI95%: 96.2–100%) in the mITT population and 94.1% (CI95%: 87.5–97.8%) in the ITT population. Three subjects discontinued the combo-simplified strategy prematurely, none of them due to safety reasons. Five subjects reported 8 adverse events, all of mild-moderate intensity. Combo-simplified strategy mean direct costs were 754.35±103.60€ compared to 1689.42€ and 2007.89€ of a theoretical 12-week treatment with 4 or 5 monitoring visits, respectively; and 1370.95€ and 1689.42€ of a theoretical 8-week with 3 or 4 monitoring visits, respectively. Only 4.9% of the subjects used unexpected health care resources. Conclusions: 8-week treatment with GLE/PIB combined with a combo simplified strategy in real-life offers substantial cost savings without affecting the effectiveness and safety compared to traditional approaches.(AU)

Antecedentes y objetivo: La aparición de regímenes antivirales de acción directa altamente tolerables, eficaces y de corta duración permite simplificar el manejo de la hepatitis C, pero los costes médicos se desconocen. Así, se pretende determinar los costes médicos directos asociados a una estrategia simplificada (diagnóstico en un solo paso y monitorización reducida) para controlar la infección por VHC con un régimen de 8 semanas de glecaprevir/pibrentasvir (GLE/PIB) en la práctica clínica en España. Pacientes y métodos: Los recursos sanitarios y los datos clínicos se recopilaron retrospectivamente de las historias médicas de 101 pacientes elegibles en 11 hospitales. Los participantes fueron sujetos adultos, sin tratamiento previo de la infección por VHC y sin cirrosis, en los que se programó una estrategia combinada simplificada con GLE/PIB durante 8 semanas entre abril y noviembre de 2018. Resultados: La eficacia de GLE/PIB fue del 100% (IC 95% 96,2-100) en la población mITT y del 94,1% (IC 95% 87,5-97,8) en la población ITT. Tres sujetos suspendieron prematuramente la estrategia combinada simplificada, ninguno de ellos por razones de seguridad. Cinco sujetos reportaron 8 acontecimientos adversos de intensidad leve-moderada. Los costes directos fueron de 754,35±103,60€ frente a 1.689,42€ y 2.007,89€ de un tratamiento teórico de 12 semanas con 4 o 5 visitas de monitorización, respectivamente; y 1.370,95€ y 1.689,42€ de un tratamiento teórico de 8 semanas con 3 o 4 visitas de monitorización, respectivamente. El 4,9% de los sujetos utilizaron recursos de atención médica inesperados. Conclusiones: En la vida real, el tratamiento de 8 semanas con GLE/PIB junto con una estrategia simplificada ofrece ahorros sustanciales de costos, sin afectar la eficacia y seguridad, en comparación con abordajes tradicionales.(AU)

Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients.

BACKGROUND: Machine learning modeling can provide valuable support in different areas of mental health, because it enables to make rapid predictions and therefore support the decision making, based on valuable data. However, few studies have applied this method to predict symptoms' worsening, based on sociodemographic, contextual, and clinical data. Thus, we applied machine learning techniques to identify predictors of symptomatologic changes in a Spanish cohort of OCD patients during the initial phase of the COVID-19 pandemic. METHODS: 127 OCD patients were assessed using the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) and a structured clinical interview during the COVID-19 pandemic. Machine learning models for classification (LDA and SVM) and regression (linear regression and SVR) were constructed to predict each symptom based on patient's sociodemographic, clinical and contextual information. RESULTS: A Y-BOCS score prediction model was generated with 100% reliability at a score threshold of ± 6. Reliability of 100% was reached for obsessions and/or compulsions related to COVID-19. Symptoms of anxiety and depression were predicted with less reliability (correlation R of 0.58 and 0.68, respectively). The suicidal thoughts are predicted with a sensitivity of 79% and specificity of 88%. The best results are achieved by SVM and SVR. CONCLUSION: Our findings reveal that sociodemographic and clinical data can be used to predict changes in OCD symptomatology. Machine learning may be valuable tool for helping clinicians to rapidly identify patients at higher risk and therefore provide optimized care, especially in future pandemics. However, further validation of these models is required to ensure greater reliability of the algorithms for clinical implementation to specific objectives of interest.

Fast Support Vector Classification for Large-Scale Problems.

The support vector machine (SVM) is a very important machine learning algorithm with state-of-the-art performance on many classification problems. However, on large datasets it is very slow and requires much memory. To solve this defficiency, we propose the fast support vector classifier (FSVC) that includes: 1) an efficient closed-form training free of any numerical iterative procedure; 2) a small collection of class prototypes that avoids to store in memory an excessive number of support vectors; and 3) a fast method that selects the spread of the radial basis function kernel directly from data, without classifier execution nor iterative hyper-parameter tuning. The memory requirements of FSVC are very low, spending in average only 6 ·10-7 sec. per pattern, input and class, and processing datasets up to 31 millions of patterns, 30,000 inputs and 131 classes in less than 1.5 hours (less than 3 hours with only 2GB of RAM). In average, the FSVC is 10 times faster, requires 12 times less memory and achieves 4.7 percent more performance than Liblinear, that fails on the 4 largest datasets by lack of memory, being 100 times faster and achieving only 6.7 percent less performance than Libsvm. The time spent by FSVC only depends on the dataset size and thus it can be accurately estimated for new datasets, while Libsvm or Liblinear are much slower on "difficult" datasets, even if they are small. The FSVC adjusts its requirements to the available memory, classifying large datasets in computers with limited memory. Code for the proposed algorithm in the Octave scientific programming language is provided.1.

Non-pharmacologic direct cost of a simplified strategy with glecaprevir/pibrentasvir for 8 weeks in naïve non-cirrhotic patients with hepatitis C implemented in clinical practice. The Just SIMPLE Study.

BACKGROUND AND OBJECTIVE: The emergence of highly tolerable, effective, and shorter duration direct-acting antivirals (DAAs) regimens offers the opportunity to simplify hepatitis C virus management but medical costs are unknown. Thus, we aimed to determine the direct medical costs associated with a combo-simplified strategy (one-step diagnosis and low monitoring) to manage HCV infection within an 8-week glecaprevir/pibrentasvir (GLE/PIB) regimen in clinical practice in Spain. PATIENTS AND METHODS: Healthcare resources and clinical data were collected retrospectively from medical charts of 101 eligible patients at 11 hospitals. Participants were adult, treatment naïve subjects with HCV infection without cirrhosis in whom a combo-simplified strategy with GLE/PIB for 8 weeks were programmed between Apr-2018 and Nov-2018. RESULTS: The GLE/PIB effectiveness was 100% (CI95%: 96.2-100%) in the mITT population and 94.1% (CI95%: 87.5-97.8%) in the ITT population. Three subjects discontinued the combo-simplified strategy prematurely, none of them due to safety reasons. Five subjects reported 8 adverse events, all of mild-moderate intensity. Combo-simplified strategy mean direct costs were 754.35±103.60€ compared to 1689.42€ and 2007.89€ of a theoretical 12-week treatment with 4 or 5 monitoring visits, respectively; and 1370.95€ and 1689.42€ of a theoretical 8-week with 3 or 4 monitoring visits, respectively. Only 4.9% of the subjects used unexpected health care resources. CONCLUSIONS: 8-week treatment with GLE/PIB combined with a combo simplified strategy in real-life offers substantial cost savings without affecting the effectiveness and safety compared to traditional approaches.

Classification of squamous cell carcinoma from FF-OCT images: Data selection and progressive model construction.

We investigate the speed and performance of squamous cell carcinoma (SCC) classification from full-field optical coherence tomography (FF-OCT) images based on the convolutional neural network (CNN). Due to the unique characteristics of SCC features, the high variety of CNN, and the high volume of our 3D FF-OCT dataset, progressive model construction is a time-consuming process. To address the issue, we develop a training strategy for data selection that makes model training 16 times faster by exploiting the dependency between images and the knowledge of SCC feature distribution. The speedup makes progressive model construction computationally feasible. Our approach further refines the regularization, channel attention, and optimization mechanism of SCC classifier and improves the accuracy of SCC classification to 87.12% at the image level and 90.10% at the tomogram level. The results are obtained by testing the proposed approach on an FF-OCT dataset with over one million mouse skin images.

Results from a Spanish national survey on the application of ultrasound in pulmonology services.

BACKGROUND: This was an observational, cross-sectional, and multicentre study carried out from October to December 2020, through a survey sent to Spanish Society of Pulmonology and Thoracic Surgery members in public hospitals with different levels of complexity. Our objective was to complete a national analysis of clinical practice, organisation, infrastructure, the services portfolio, teaching, and research activity related to ultrasound. RESULTS: Data from 104 hospitals were analysed. Ultrasound was used in 56.7% of cases, both in the area of bronchopleural techniques and on conventional wards, with no differences between centres. Lung ultrasound (LUS) was performed more often in the procedures area in intermediate-complexity centres compared to high- and low-complexity centres (36% vs. 31% and 6.25%, respectively). More high-complexity centres had three or more ultrasound scanners than intermediate-complexity centres (38% vs. 16%); 43% of low-complexity centres shared their ultrasound equipment with other specialties. Fewer than 6% of centres did not have an ultrasound machine. LUS was most often used during the treatment of pleural effusion (91.3%), in the differential diagnosis of dyspnoea (51.9%), and to rule out iatrogenic pneumothorax (50.9%). Only 5.7% of the centres had a pulmonologist specialised in LUS. Finally, fewer than 35% of the hospitals were teaching centres and fewer than 18% participated in research projects. CONCLUSIONS: The use and availability of LUS has grown in pulmonology services, however, still relatively few pulmonologists are specialised in its use. Moreover, teaching and research activity in this field is scarce. Strategies are necessary to improve physicians' skill at using LUS and to promote its use, with the ultimate goal of improving healthcare activity.