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Abstract Objectives To compare mortality rates between GCA patients and the general population in Spain, and to identify associated factors influencing mortality. Methods ARTESER, a multicenter registry by the Spanish Society of Rheumatology, includes GCA patients from June 2013 to March 2019. Demographic, clinical, imaging, histological and mortality data were collected retrospectively. Only patients with at least one year of follow-up were included for analysis. The mortality rates were expressed as the number of deaths per 1000 person-years, with 95% confidence interval (CI) by sex and age group. Kaplan-Meier method was performed for survival analysis. The factors influencing mortality were analyzed using Cox regression model. Results A total of 1200 patients with GCA were analyzed, with a mean (SD) follow-up of 2.18 (1.53) years. The overall five-year cumulative mortality rate (95%CI) was 37.86 (31.75-43.96) per 1000 patients/year. The cumulative mortality rate was significantly higher in males than females (59.04vs29.06; p

El objetivo de esta investigación es analizar la conectividad vial en relación con los indicadores de analfabetismo, desnutrición, viviendas sin acceso al agua, pobreza no monetaria y acceso a internet. En la metodología, para la elaboración cartográfica de conectividad vial, se utilizó la ponderación por distancia o inverse distance weighting (IDW) en el software de ArcGis 10.8, en tanto los indicadores para los distritos se han extraído desde GeoPerú. Los resultados indican que la conectividad vial desempeña un papel crucial en el desarrollo socioeconómico de los distritos. Aquellos con una alta conectividad, como Moche, Huancán y Perené, presentan índices más bajos de analfabetismo, desnutrición, viviendas sin acceso a agua potable, pobreza no monetaria y hogares sin internet en comparación con los distritos de baja conectividad, como El Porvenir, Santo Domingo de Acobamba y Pichanaqui. Se concluye que la infraestructura vial es un factor clave para reducir la desigualdad y mejorar las condiciones de vida en áreas menos desarrolladas.

Diversas experiencias de pequeñas unidades de riego muestran que, a partir de organizaciones sociales, normas, usos y costumbres, y arreglos consensados para la toma de decisiones han logrado acuerdos vinculantes en torno a temas de interés colectivo, tales como sistemas autogestivos del agua, en donde mediante un nivel organizativo se llevan a cabo todas las actividades del sistema de riego, como distribución del agua, mantenimiento, resolución de conflictos, monitoreo y vigilancia. El objetivo del estudio fue conocer la capacidad autogestiva de la sociedad de usuarios “Pozo Zamorano” en el manejo del agua a partir de los principios de diseño característicos de los recursos de uso común (RUC) de larga duración. Los resultados muestran que la gestión del recurso está dada por normas y reglamentos internos, sistemas de sanciones económicas que han sido establecidas de forma común por los usuarios, para permitir un buen manejo y orden dentro de la sociedad. Los puntos de diseño propuestos por Ostrom para las organizaciones administradas por los mismos usuarios están presentes en la organización de la sociedad “Pozo Zamorano” y se pueden considerar con un desempeño alto. La condición autogestiva de los socios regantes les ha permitido dar continuidad a la actividad agrícola, de la cual depende la mayoría de los habitantes de la comunidad.

RESUMEN Se trata de una mujer de 57 años con antecedentes de linfoma MALT gástrico y nefritis intersticial atribuida a la quimioterapia. En el estudio de diarrea crónica encontramos un páncreas atrófico, con deficiencia de elastasa. Se sospecha pancreatitis autoinmune. Se comprueba una elevación importante de IgG4 sérica. Con estos datos se procede a la revisión de la biopsia renal realizada 10 meses antes. La inmunohistoquímica revela un número significativo de células plasmáticas productoras de IgG4. En los pulmones la paciente tiene nódulos, adenopatías e infiltrados. El diagnóstico al que llegamos es Enfermedad relacionada con IgG4. ABSTRACT This is a 57-year-old woman with a history of gastric MALT lymphoma and interstitial nephritis attributed to chemotherapy. In the study of chronic diarrhea, we found an atrophic pancreas, with elastase deficiency. Autoimmune pancreatitis is suspected. There is a significant elevation of serum IgG4. With these data we proceed to the review of the renal biopsy performed 10 months before. Immunohistochemistry reveals a significant number of IgG4-producing plasma cells. In the lungs the patient has nodules, lymphadenopathy and infiltrates. The diagnosis we reached is IgG4-related disease.

Abstract Background Perfectionism is considered a vulnerability factor for eating disorders. However, the role of perfectionism in binge eating needs clarification due to notably inconsistencies between studies. The purpose to this study was to conduct a systematic review and meta-analysis to estimate the perfectionism-binge eating association. Method Systematic review was performed according to the PRISMA 2020 statement. Four databases (Web of Science, Scopus, PsycINFO and Psicodoc) were searched to identify studies published until September 2022. The literature search yielded 30 published articles (N = 9392) that provided 33 independent estimations of the correlation between the two variables. Results Random-effects meta-analysis revealed a small-to-moderate positive average effect size between general perfectionism and binge eating (r + = .17) with a large heterogeneity. Perfectionistic Concerns showed a significant small-to-moderate relationship with binge eating (r + = .27), whereas Perfectionistic Strivings presented a negligible relationship with binge eating (r + = .07). Moderator analyses showed that the age, the type of the sample, the study design, and the tools for assessing both variables were statistically associated with the perfectionism-binge eating effect sizes. Conclusions Our findings suggest that Perfectionism Concerns are closely associated with binge eating symptomatology. This relationship might be moderated by certain variables, especially by the clinical or non-clinical nature of the sample and the instrument employed to assess binge eating.

Mexico is the main producer of avocado (Persea americana Mill.), contributing 31% of the world supply, which provides the country with an annual income of more than 2 billion dollars. The increase in national production is the result of a larger cultivated area, and not an increase in yields. In the State of Mexico, Mexico around 10 thousand hectares are cultivated with avocado trees, although 77% of the producers do not have specialized technical advice that offers reliable information on crop nutrition. This lack of advice and technical support detracts from volume and quality of production. The objective of this research was to carry out the nutritional diagnosis of an avocado orchard in Tejupilco, State of Mexico, Mexico, through the Compositional Nutrient Diagnosis (CND), and to generate specific fertilization recommendations for the study area, for which leaf and soil analyses were carried out. Each nutrient determined in the leaf analysis (N, P, K, Ca, Mg, S, Fe, Mn, Zn, Cu, and B) was compared with its optimal concentration according to literature. The CND yielded relative deficiency or excess indices that determined the order of nutritional limitation. Zn, B, S, and K deficiencies were detected in all sampled areas, while P, Mn, and Cu were deficient only in some areas. N, Ca, Mg, and Fe did not show nutritional limitation. Recommendations were formulated to address each of the nutritional deficiencies and the problem of sodicity revealed by the soil analysis. This is the first work in which the CND is used to assess the nutritional situation of avocado orchards in the world.

Abstract Aim To systematically evaluate the efficacy of different topical treatments for PVC‐related phlebitis in hospital in‐patients. Design A systematic review and meta‐analysis. Methods A selection was made of experimental and quasi‐experimental studies published in English or Spanish. These should provide data on the degree of phlebitis, pain and infiltration (means and standard deviations, mainly) of hospitalized patients with phlebitis secondary to peripheral venous catheter. All those studies that reflected systemic or exclusive prevention treatments were excluded. Searches were from inception to April 2020. The date of data collection was from December 2020 to May 2021. The selection criteria were based on the PICOS model. Risk of bias was assessed using the Cochrane Collaboration tool. Results Twelve studies (726 patients) met the inclusion criteria. With respect to the decrease in the degree of phlebitis, was found ichthammol glycerine, followed by heparinoids. As for degree of pain, sesame oil obtained the most marked reduction. In terms of degree of infiltration, heparinoids and ichthammol glycerine were the only products to achieve a statistically significant reduction. The most important limitations are the low quantity and quality of the trials included. Insufficient data are available to draw valid conclusions about the efficacy of any treatment.

Abstract Background Advantages of meta-analysis depend on the assumptions underlying the statistical procedures used being met. One of the main assumptions that is usually taken for granted is the normality underlying the population of true effects in a random-effects model, even though the available evidence suggests that this assumption is often not met. This paper examines how 21 frequentist and 24 Bayesian methods, including several novel procedures, for computing a point estimate of the heterogeneity parameter ( $${\tau }^{2}$$ τ 2 ) perform when the distribution of random effects departs from normality compared to normal scenarios in meta-analysis of standardized mean differences. Methods A Monte Carlo simulation was carried out using the R software, generating data for meta-analyses using the standardized mean difference. The simulation factors were the number and average sample size of primary studies, the amount of heterogeneity, as well as the shape of the random-effects distribution. The point estimators were compared in terms of absolute bias and variance, although results regarding mean squared error were also discussed. Results Although not all the estimators were affected to the same extent, there was a general tendency to obtain lower and more variable $${\tau }^{2}$$ τ 2 estimates as the random-effects distribution departed from normality. However, the estimators ranking in terms of their absolute bias and variance did not change: Those estimators that obtained lower bias also showed greater variance. Finally, a large number and sample size of primary studies acted as a bias-protective factor against a lack of normality for several procedures, whereas only a high number of studies was a variance-protective factor for most of the estimators analyzed. Conclusions Although the estimation and inference of the combined effect have proven to be sufficiently robust, our work highlights the role that the deviation from normality may be playing in the meta-analytic conclusions from the simulation results and the numerical examples included in this work. With the aim to exercise caution in the interpretation of the results obtained from random-effects models, the tau2() R function is made available for obtaining the range of $${\tau }^{2}$$ τ 2 values computed from the 45 estimators analyzed in this work, as well as to assess how the pooled effect, its confidence and prediction intervals vary according to the estimator chosen.

Nowadays, production is configured around Global Value Chains, and countries’ involvement in those has become important objectives for achieving economic upgrading. However, social outcomes are neither equally distributed between countries, nor among social classes within countries. Indeed, GVCs and the potential gains of countries' involvement in them, yield uncertain implications of the effects of globalization on inequality within countries. In this context, the aim of this work is to analyze the link between the performance of countries in GVCs (measured trough participation and position) and the levels of intra-country inequality. In more depth, we focus on Europe (specifically, EU28 countries), as it offers a wide and cohesive scenario of developed countries in which to test the effects of linking into GVCs on internal inequalities. We get a positive effect of participation in GVCs on increasing intra-country inequality, while more upstream positions are linked to decreases in income inequality. Besides, if we differentiate by geographical area, Western and Southern European countries would achieve higher reductions in inequality than Northern countries by moving towards more upstream positions.

Corrosion and scaling in metal pipelines are the major issues in the exploitation of geothermal sources. Geothermal fluids are complex mixtures consisting of dissolved gases and high-salinity solutions. This creates very aggressive environments primarily due to the high concentrations of carbon dioxide (CO2), hydrogen sulfide (H2S), chlorides, and other chemical species. Besides, the high temperature of the brines also increases corrosion rates, which can lead to failures related to stress and fatigue corrosion. On the other hand, reinjection of cooled brine exiting the heat exchanger favors the onset of scaling, since the chemicals dissolved in geothermal waters may tend to precipitate promoting inorganic depositions on the casing. Corrosion and scaling phenomena are difficult to detect visually or monitor continuously. Standard techniques based on pH, temperature pressure, electrical resistance measurements, chemistry composition, and physical properties are habitually applied as indirect methods for corrosion rate control. These methods, however, lack enough robustness for accurate and reliable measuring of the corrosion behavior of materials. To address this issue, a novel system has been proposed for the continuous monitoring of corrosion degradation caused by the effect of the geothermal brines. The present work aims to design, develop, and validate a dedicated electrochemical-based test system for online and onsite monitoring of the corrosion rate and scaling growth occurring on different materials exposed to real operating conditions. This system uses non-standard methods based on electrochemical impedance spectroscopy (EIS) to obtain quantitative data related to the material quality. It can be used to track the condition of the pipeline, reducing the operation and maintenance (O&M) costs and shutdown times. By providing early corrosion rate data, this system allows the prediction of failures in critical units of the plant.

Abstract Background Systemic lupus erythematosus (SLE) has been associated with atherosclerotic cardiovascular disease (CV) and an altered lipid profile. High levels of apolipoprotein C-III (ApoC3) are associated with elevated triglyceride levels and an increased risk of CV. In the present study, we aimed to study circulating ApoC3 in patients with SLE and describe its relationship with the manifestations of the disease. Methods This is a cross-sectional study that included 186 patients with SLE. Disease-related data, CV comorbidity, full lipid profile, and serum levels of ApoC3 were assessed. A multivariable regression analysis was performed to study how ApoC3 was related to SLE features. Results Classic CV risk factors were significantly and strongly associated with circulating ApoC3. After a fully multivariable analysis that included classic CV risk factors and lipid profile molecules, SLICC damage (beta coef. 0.10 [95% CI 0.02–0.19] mg/dl, 0.020) and Katz severity (beta coef. 0.11 [95% CI 0.03–0.19] mg/dl, p = 0.011) indices and SLEDAI activity score (beta coef. 0.05 [95% CI 0.05–0.08] mg/dl, p = 0.004) were all independently associated with higher levels of circulating ApoC3. Conclusion Among SLE patients, disease activity, severity, and disease damage are independently associated with higher ApoC3 serum levels.