Polypill strategy at the heart of cardiovascular secondary prevention

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Teamwork: Assessment of teamwork competence in higher education

[EN] Teamwork is a competence highly demanded among workers and an academic field with an extensive specialized literature. Based on this knowledge that comes from the study of organizational behavior, this communication presents a model to understand teamwork in higher education settings. The theoretical model considers structural components (i.e., task interdependence and task uncertainty), processes (i.e., team development and team climate for learning) and results (i.e., team effectiveness). Moreover, an assessment tool (and attitude questionnaire with 42 items-Likert scale with a range from 1 to 7) is also presented to measure these critical components that can allow us to distinguish between effective and ineffective teams in higher education. First results of the application of these tools to 18 team students show good consistency values of the tools being able to distinguish among teams. Additionally, we propose a procedure to obtain aggregated measures per group from the members’ responses considering the degree of agreement among members.Navarro, J.; Bosch, JL.; Palacín, M.; Solé, M.; Berger, R.; Leiva, D.; Ceppi, F.... (2017). Teamwork: Assessment of teamwork competence in higher education. En Proceedings of the 3rd International Conference on Higher Education Advances. Editorial Universitat Politècnica de València. 1024-1032. https://doi.org/10.4995/HEAD17.2017.55071024103

Nanocrystalline silicon substituted hydroxyapatite effects on osteoclast differentiation and resorptive activity

In the present study, the effects of nanocrystalline hydroxyapatite (nano-HA) and nanocrystalline Si-substituted hydroxyapatite (nano-SiHA) on osteoclast differentiation and resorptive activity have been evaluated in vitro using osteoclast-like cells. The action of these materials on proinflammatory and reparative macrophage populations was also studied. Nano-SiHA disks delayed the osteoclast differentiation and decreased the resorptive activity of these cells on their surface, as compared to nano-HA samples, without affecting cell viability. Powdered nano-SiHA also induced an increase of the reparative macrophage population. These results along with the beneficial effects on osteoblasts previously observed with powdered nano-SiHA suggest the potential of this biomaterial for modulating the fundamental processes of bone formation and turnover, preventing bone resorption and enhancing bone formation at implantation sites in treatment of osteoporotic bone and in bone repair and regeneration

Risk Score for Predicting In-Hospital Mortality in COVID-19 (RIM Score).

Infection by SARS-CoV2 has devastating consequences on health care systems. It is a global health priority to identify patients at risk of fatal outcomes. 1955 patients admitted to HM-Hospitales from 1 March to 10 June 2020 due to COVID-19, were were divided into two groups, 1310 belonged to the training cohort and 645 to validation cohort. Four different models were generated to predict in-hospital mortality. Following variables were included: age, sex, oxygen saturation, level of C-reactive-protein, neutrophil-to-platelet-ratio (NPR), neutrophil-to-lymphocyte-ratio (NLR) and the rate of changes of both hemogram ratios (VNLR and VNPR) during the first week after admission. The accuracy of the models in predicting in-hospital mortality were evaluated using the area under the receiver-operator-characteristic curve (AUC). AUC for models including NLR and NPR performed similarly in both cohorts: NLR 0.873 (95% CI: 0.849-0.898), NPR 0.875 (95% CI: 0.851-0.899) in training cohort and NLR 0.856 (95% CI: 0.818-0.895), NPR 0.863 (95% CI: 0.826-0.901) in validation cohort. AUC was 0.885 (95% CI: 0.885-0.919) for VNLR and 0.891 (95% CI: 0.861-0.922) for VNPR in the validation cohort. According to our results, models are useful in predicting in-hospital mortality risk due to COVID-19. The RIM Score proposed is a simple, widely available tool that can help identify patients at risk of fatal outcomes.This research received no external fundingS

Identification of tissue microRNAs predictive of sunitinib activity in patients with metastatic renal cell carcinoma

PURPOSE: To identify tissue microRNAs predictive of sunitinib activity in patients with metastatic renal-cell-carcinoma (MRCC) and to evaluate in vitro their mechanism of action in sunitinib resistance. METHODS: We screened 673 microRNAs using TaqMan Low-density-Arrays (TLDAs) in tumors from MRCC patients with extreme phenotypes of marked efficacy and resistance to sunitinib, selected from an identification cohort (n = 41). The most relevant differentially expressed microRNAs were selected using bioinformatics-based target prediction analysis and quantified by qRT-PCR in tumors from patients presenting similar phenotypes selected from an independent cohort (n = 101). In vitro experiments were conducted to study the role of miR-942 in sunitinib resistance. RESULTS: TLDAs identified 64 microRNAs differentially expressed in the identification cohort. Seven candidates were quantified by qRT-PCR in the independent series. MiR-942 was the most accurate predictor of sunitinib efficacy (p = 0.0074). High expression of miR-942, miR-628-5p, miR-133a, and miR-484 was significantly associated with decreased time to progression and overall survival. These microRNAs were also overexpressed in the sunitinib resistant cell line Caki-2 in comparison with the sensitive cell line. MiR-942 overexpression in Caki-2 up-regulates MMP-9 and VEGF secretion which, in turn, promote HBMEC endothelial migration and sunitinib resistance. CONCLUSIONS: We identified differentially expressed microRNAs in MRCC patients presenting marked sensitivity or resistance to sunitinib. MiR-942 was the best predictor of efficacy. We describe a novel paracrine mechanism through which high miR-942 levels in MRCC cells up-regulates MMP-9 and VEGF secretion to enhance endothelial migration and sunitinib resistance. Our results support further validation of these miRNA in clinical confirmatory studies

The role of an electronic alert system to detect acute kidney injury in hospitalized patients: DETECT-H Project

Background and aims: Acute kidney injury (AKI) is associated with higher mortality and length of stay (LOS) for hospitalized patients. To improve outcomes, an electronic detection system could be a useful tool for early diagnosis. Methods: A fully automated real-time system for detecting decreased glomerular filtration rate in adult patients was developed in our hospital, DETECT-H project. AKI was established according to KDIGO guidelines. Results: In six months, 1241 alerts from 11,022 admissions were issued. Overall incidence of AKI was 7.7%. Highest AKI stage reached was: stage 1 (49.8%), 2 (24.5%) and 3 (25.8%), in-hospital mortality was 10.9%, 22.7%, 33.9% respectively and 57.1% in AKI requiring dialysis; mortality in stable CKD was 4.3%. Median LOS was 8 days versus 5 days for all patients. AKI was associated with a mortality of 3.18 (95% CI 1.80–5.59) and a LOS 1.52 (1.11–2.08) times as high as that for admissions without AKI. Multivariate analysis indicated that a LOS higher than 8 days was associated with AKI. Previous CKD was noted in 31.9% and AKI in 45.3% at discharge. As compared to the use of the detect system, only one third of CKD patients and half of AKI episodes were identified. Conclusions: CKD and in-hospital AKI are under-recognized entities. Mortality and LOS are increased in-hospital patients with renal dysfunction. AKI severity was associated with higher mortality and LOS. An automated electronic detection system for identifying renal dysfunction would be a useful tool to improve renal outcomes. Resumen: Introducción y objetivos: El fracaso renal agudo (FRA) aumenta la mortalidad y la estancia hospitalarias (EH). El empleo de sistemas de detección electrónica podría ser una herramienta beneficiosa para mejorar estos resultados. Métodos: Se desarrolló un sistema de detección automático a tiempo real de pacientes ingresados con función renal alterada, denominado proyecto DETECT-H. El FRA se estableció de acuerdo con las guías KDIGO. Resultados: En 6 meses, 1.241 alertas fueron recogidas de 11.022 ingresos. La incidencia global del FRA fue del 7,7%. La distribución en función del estadio máximo del FRA alcanzado fue: estadio 1: 49,8%, estadio 2: 24,5% y estadio 3: 25,8%; con una mortalidad hospitalaria del 10,9, 22,7 y 33,9%, respectivamente. En el caso del FRA con necesidad de diálisis fue del 57,1%. La mortalidad en pacientes con enfermedad renal crónica (ERC) estable fue del 4,3%. La mediana de EH en pacientes detectados fue 8 vs. 5 días para todos los pacientes hospitalizados. El FRA se asoció con una mortalidad 3,18 (1,8-5,59) y una EH 1,52 (1,11-2,08) veces superior que aquellos ingresos sin FRA. El análisis multivariante indicó que el FRA se asociaba con la EH > 8 días.En los informes de alta, la presencia de ERC previa solo fue registrada en el 31,9% de los pacientes con ERC y el FRA hospitalario en el 45,3%. Conclusiones: La ERC y el FRA intrahospitalario son entidades infradiagnosticadas. La mortalidad y la EH están aumentadas en pacientes con disfunción renal. La gravedad del FRA se asoció con mayor mortalidad y EH. Un sistema de detección automático para identificarlos podría ser útil para mejorar estos resultados. Keywords: Acute kidney injury, Automated electronic detection system, Chronic kidney disease, Diagnosis, Health information technology, Mortality, Palabras clave: Fracaso renal agudo, Sistema de detección electrónica automática, Enfermedad renal crónica, Diagnóstico, Tecnología de información de la salud, Mortalida

Lipid profile, cardiovascular disease and mortality in a Mediterranean high-risk population: The ESCARVAL-RISK study.

The potential impact of targeting different components of an adverse lipid profile in populations with multiple cardiovascular risk factors is not completely clear. This study aims to assess the association between different components of the standard lipid profile with all-cause mortality and hospitalization due to cardiovascular events in a high-risk population. This prospective registry included high risk adults over 30 years old free of cardiovascular disease (2008-2012). Diagnosis of hypertension, dyslipidemia or diabetes mellitus was inclusion criterion. Lipid biomarkers were evaluated. Primary endpoints were all-cause mortality and hospital admission due to coronary heart disease or stroke. We estimated adjusted rate ratios (aRR), absolute risk differences and population attributable risk associated with adverse lipid profiles. 51,462 subjects were included with a mean age of 62.6 years (47.6% men). During an average follow-up of 3.2 years, 919 deaths, 1666 hospitalizations for coronary heart disease and 1510 hospitalizations for stroke were recorded. The parameters that showed an increased rate for total mortality, coronary heart disease and stroke hospitalization were, respectively, low HDL-Cholesterol: aRR 1.25, 1.29 and 1.23; high Total/HDL-Cholesterol: aRR 1.22, 1.38 and 1.25; and high Triglycerides/HDL-Cholesterol: aRR 1.21, 1.30, 1.09. The parameters that showed highest population attributable risk (%) were, respectively, low HDL-Cholesterol: 7.70, 11.42, 8.40; high Total/HDL-Cholesterol: 6.55, 12.47, 8.73; and high Triglycerides/HDL-Cholesterol: 8.94, 15.09, 6.92. In a population with cardiovascular risk factors, HDL-cholesterol, Total/HDL-cholesterol and triglycerides/HDL-cholesterol ratios were associated with a higher population attributable risk for cardiovascular disease compared to other common biomarkers.S

Dendrímeros antigénicos sobre partículas de sílica para determinar IgE específicas de antibióticos betalactámicos

Los inmunoensayos empleados para el diagnóstico in vitro de alergias a antibióticos betalactámicos actualmente presentan una limitada sensibilidad y pobre especificidad, además de no estar disponibles de forma comercial para todos los antibióticos implicados en procesos alérgicos. En este trabajo, se han diseñado nanopartículas de sílica altamente funcionalizadas con dendrímeros y conjugadas con amoxicilina y bencilpenicilina con objeto de mejorar el diagnóstico clínico in vitro de alergia a estos antibióticos.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Environmental and individual exposure to secondhand aerosol of electronic cigarettes in confined spaces: Results from the TackSHS Project

Secondhand electronic cigarette (e-cigarette) aerosol (SHA) might impair indoor air quality and expose bystanders. This study aims to investigate exposure to SHA in controlled conditions of enclosed settings simulating real-world scenario. An experiment was performed in a car and in a room, in which SHA was generated during a 30-minute ad libitum use of an e-cigarette. The experiment was replicated on five consecutive days in each setting. We measured PM2.5, airborne nicotine concentrations, and biomarkers of exposure to SHA, such as nicotine metabolites, tobacco-specific nitrosamines, propylene glycol, and glycerol in bystanders’ saliva samples before, during, and after the exposure period. Self-reported health symptoms related to exposure to SHA were also recorded. The results showed that the highest median PM2.5 concentration was recorded during the exposure period, being 21 µg/m3 in the room setting and 16 µg/m3 in the car setting—about twofold increase compared to the baseline. Most concentrations of the airborne nicotine and all biomarkers were below the limit of quantification in both settings. Bystanders in both settings experienced some short-term irritation symptoms, expressed as dry throat, nose, eyes, and phlegm. In conclusion, short-term use of an e-cigarette in confined spaces increased indoor PM2.5 level and caused some irritation symptoms in bystanders