Prospective exploration of hazelnut's unsaponifiable fraction for geographical and varietal authentication: A comparative study of advanced fingerprinting and untargeted profiling techniques.

This study compares two data processing techniques (fingerprinting and untargeted profiling) to authenticate hazelnut cultivar and provenance based on its unsaponifiable fraction by GC-MS. PLS-DA classification models were developed on a selected sample set (n = 176). As test cases, cultivar models were developed for "Tonda di Giffoni" vs other cultivars, whereas provenance models were developed for three origins (Chile, Italy or Spain). Both fingerprinting and untargeted profiling successfully classified hazelnuts by cultivar or provenance, revealing the potential of the unsaponifiable fraction. External validation provided over 90 % correct classification, with fingerprinting slightly outperforming. Analysing PLS-DA models' regression coefficients and tentatively identifying compounds corresponding to highly relevant variables showed consistent agreement in key discriminant compounds across both approaches. However, fingerprinting in selected ion mode extracted slightly more information from chromatographic data, including minor discriminant species. Conversely, untargeted profiling acquired in full scan mode, provided pure spectra, facilitating chemical interpretability.

Derivación y validación de un modelo predictivo de reingreso en pacientes con diabetes mellitus atendidos en servicios de medicina interna / Derivation and validation of a predictive model for the readmission of patients with diabetes mellitus treated in internal medicine departments

Objetivos: Hemos desarrollado un modelo predictivo de reingreso hospitalario en pacientes con diabetes. El objetivo es identificar aquella población frágil que requiera estrategias adicionales para evitar reingresos a 90 días. Métodos: Utilizando datos recogidos en 3 estudios de prevalencia nacionales (2015-2017) que incluyeron un total de 1.977 pacientes hemos desarrollado y validado un modelo predictivo de reingreso a 90 días en pacientes con diabetes. Resultados: Se registraron un total de 704 (36%) reingresos. No hubo diferencias en la tasa de reingreso a lo largo de los 3 periodos de estudio. Los hospitales de más de 500 camas mostraron de forma estadísticamente significativa (p=0,02) mayores tasas de reingreso que los de menor tamaño. Los motivos principales de reingreso fueron enfermedades infecciosas (29%), enfermedades cardiovasculares (24%) y enfermedades respiratorias (14%). Los reingresos directamente relacionados con descompensaciones diabéticas fueron solo un 2%. Las variables independientes asociadas con reingresos hospitalarios fueron la edad del paciente, el grado de cormobilidad, el filtrado glomerular estimado, el grado de discapacidad, la presencia de episodios previos de hipoglucemia, el uso de insulina en el tratamiento de la diabetes y el uso de glucocorticoides sistémicos. El modelo predictivo mostró en la cohorte de derivación un área bajo de curva ROC: 0,676 (intervalo de confianza al 95% [IC 95%]: 0,642-0,709; p=0,001). En la cohorte de validación el modelo mostró un área bajo la curva: 0,661 (IC 95%: 0,612-0,710; p=0,001). Conclusión: El modelo de predicción de reingresos para pacientes con diabetes tipo 2 hospitalizados que hemos desarrollado permite identificar un subgrupo de pacientes frágiles con alto riesgo de reingreso

Objectives: We developed a predictive model for the hospital readmission of patients with diabetes. The objective was to identify the frail population that requires additional strategies to prevent readmissions at 90 days. Methods: Using data collected from 1977 patients in 3 studies on the national prevalence of diabetes (2015-2017), we developed and validated a predictive model of readmission at 90 days for patients with diabetes. Results: A total of 704 (36%) readmissions were recorded. There were no differences in the readmission rates over the course of the 3 studies. The hospitals with more than 500 beds showed significantly (p=.02) higher readmission rates than those with fewer beds. The main reasons for readmission were infectious diseases (29%), cardiovascular diseases (24) and respiratory diseases (14%). Readmissions directly related to diabetic decompensations accounted for only 2% of all readmissions. The independent variables associated with hospital readmission were patient's age, degree of comorbidity, estimated glomerular filtration rate, degree of disability, presence of previous episodes of hypoglycaemia, use of insulin in treating diabetes and the use of systemic glucocorticoids. The predictive model showed an area under the ROC curve (AUC) of 0.676 (95% confidence interval [95% CI] 0.642-0.709; p=.001) in the referral cohort. In the validation cohort, the model showed an AUC of 0.661 (95% CI 0.612-0.710; p=.001). Conclusion: The model we developed for predicting readmissions for hospitalised patients with type 2 diabetes helps identify a subgroup of frail patients with a high risk of readmission

Derivation and validation of a predictive model for the readmission of patients with diabetes mellitus treated in internal medicine departments. / Derivación y validación de un modelo predictivo de reingreso en pacientes con diabetes mellitus atendidos en servicios de medicina interna.

OBJECTIVES: We developed a predictive model for the hospital readmission of patients with diabetes. The objective was to identify the frail population that requires additional strategies to prevent readmissions at 90 days. METHODS: Using data collected from 1977 patients in 3 studies on the national prevalence of diabetes (2015-2017), we developed and validated a predictive model of readmission at 90 days for patients with diabetes. RESULTS: A total of 704 (36%) readmissions were recorded. There were no differences in the readmission rates over the course of the 3 studies. The hospitals with more than 500 beds showed significantly (p=.02) higher readmission rates than those with fewer beds. The main reasons for readmission were infectious diseases (29%), cardiovascular diseases (24) and respiratory diseases (14%). Readmissions directly related to diabetic decompensations accounted for only 2% of all readmissions. The independent variables associated with hospital readmission were patient's age, degree of comorbidity, estimated glomerular filtration rate, degree of disability, presence of previous episodes of hypoglycaemia, use of insulin in treating diabetes and the use of systemic glucocorticoids. The predictive model showed an area under the ROC curve (AUC) of 0.676 (95% confidence interval [95% CI] 0.642-0.709; p=.001) in the referral cohort. In the validation cohort, the model showed an AUC of 0.661 (95% CI 0.612-0.710; p=.001). CONCLUSION: The model we developed for predicting readmissions for hospitalised patients with type 2 diabetes helps identify a subgroup of frail patients with a high risk of readmission.

Scientific management of Mediterranean coastal zone: a hybrid ocean forecasting system for oil spill and search and rescue operations.

The oil spill from Prestige tanker showed the importance of scientifically based protocols to minimize the impacts on the environment. In this work, we describe a new forecasting system to predict oil spill trajectories and their potential impacts on the coastal zone. The system is formed of three main interconnected modules that address different capabilities: (1) an operational circulation sub-system that includes nested models at different scales, data collection with near-real time assimilation, new tools for initialization or assimilation based on genetic algorithms and feature-oriented strategic sampling; (2) an oil spill coastal sub-system that allows simulation of the trajectories and fate of spilled oil together with evaluation of coastal zone vulnerability using environmental sensitivity indexes; (3) a risk management sub-system for decision support based on GIS technology. The system is applied to the Mediterranean Sea where surface currents are highly variable in space and time, and interactions between local, sub-basin and basin scale increase the non-linear interactions effects which need to be adequately resolved at each one of the intervening scales. Besides the Mediterranean Sea is a complex reduced scale ocean representing a real scientific and technological challenge for operational oceanography and particularly for oil spill response and search and rescue operations.

A slow wave investigation of working memory biases in mood disorders.

Mood-congruent working memory biases were examined in a delayed matching to sample paradigm using the slow wave (SW) event-related brain potential (ERP) component. Mood-congruent working memory biases, indexed by SW amplitudes, were demonstrated among individuals experiencing a major depressive episode (MDE) and nondepressed controls but not individuals with dysthymia. However, analyses of symptom severity demonstrated that those with dysthymia exhibited significantly less negative SW amplitudes with increasing depressive mood severity, whereas individuals with major depression demonstrated more negative SW amplitudes with increasing depressive mood severity. These results are discussed in the context of diagnostic specificity for cognitive biases associated with working memory of mood-disordered individuals.

Identification and characterization of corpuscular, soluble and secreted antigens of a Venezuelan isolate of Anaplasma marginale.

Anaplasma marginale is the etiological agent of anaplasmosis, a tick-transmitted disease with an important economic impact that affects cattle throughout the world. Although, North American isolates of A. marginale and their antigens have been extensively studied, relatively little information is available on the antigenic composition of South American isolates. The characterization of diverse geographical isolates of A. marginale will result in a thorough antigenic profile and may lead to the identification of additional diagnostic and immunoprophylactic tools. Short-term cultures of a Venezuelan isolate (Ta) of A. marginale were maintained for up to 13 days in vitro. During that period, the A. marginale remained viable and were propagated in the bovine erythrocyte culture system. During the initial days of culture, cell division and reinvasion were evidenced by a significant rise in parasitemia up to a 50%. A. marginale antigens were identified by metabolic labeling with (35S) methionine, followed by fractionation and immunoprecipitation with homologous and heterologous bovine sera. This yielded a complete antigenic set for the Ta isolate of A. marginale, including soluble, secreted and corpuscular polypeptide antigens. Fifteen immunodominant polypeptides were recognized by the bovine sera in the soluble and corpuscular fractions with relative molecular weights of 200, 150, 100-110, 86, 60, 50, 47, 40, 37, 33, 31, 25, 23, 19 and 16kDa. Seven polypeptides were present in the exoantigen fraction. The 31 and 19kDa antigens were recognized by the ANAR76A1 and ANAF16C1 monoclonal antibodies, respectively which are specific for MSP-4 and MSP-5 from North American isolates of A. marginale. Metabolic labeling with (14C) glucosamine prior to immunoprecipitation with bovine sera allowed the identification of glycoprotein antigens of 200, 100-150, 60, 55, 50, 45-43, 37, 33, 31, 22, 19 and 16kDa in the soluble fraction.

Análisis de las ventajas y desventajas del implante endosacular, según procedimiento del Dr. A. Galand: estudio preliminar / Analysis of the advantages and disadvantages of endosacular implant by the Dr A. Galan procedure: preliminary study

La persecución de nuevas técnicas de implante de lentes intraoculares, nos ha llevado al análisis de las ventajas y desventajas de la inserción del lente intraocular con asa en el espacio endosacular según procedimiento de Galand, en estudio multicéntrico, realizado en 130 casos en el estado Zulia. Las ventajas del método son: 1) Menor daño endotelial durante la extracción del núcleo, aspiración de restos corticales e implante del LiO; 2) Menor reacción inflamatoria; 3) Reducción del síndrome de dispersión pigmentaria; 4) Localización más fisiología del LiO; 5) Mejor concentración del LiO; 6) Seguridad de ubicación endosacular del LiO; 7) Alternabilidad de colocación del LiO en sulcus ciliaris, con apoyo de cápsula posterior; 8) Mejor expectativa en niños. Las desventajas son: 1) Procedimiento más difícil; 2) Necesidad de material viscolástica; 3) Capsulotomía con Y.A.G. Láser o por vía pars-plane; 4) Contraindicaciones en la ruptura zonucular