Childhood exposure to outdoor air pollution in different microenvironments and cognitive and fine motor function in children from six European cohorts.

BACKGROUND: Exposure to air pollution during childhood has been linked with adverse effects on cognitive development and motor function. However, limited research has been done on the associations of air pollution exposure in different microenvironments such as home, school, or while commuting with these outcomes. OBJECTIVE: To analyze the association between childhood air pollution exposure in different microenvironments and cognitive and fine motor function from six European birth cohorts. METHODS: We included 1301 children from six European birth cohorts aged 6-11 years from the HELIX project. Average outdoor air pollutants concentrations (NO2, PM2.5) were estimated using land use regression models for different microenvironments (home, school, and commute), for 1-year before the outcome assessment. Attentional function, cognitive flexibility, non-verbal intelligence, and fine motor function were assessed using the Attention Network Test, Trail Making Test A and B, Raven Colored Progressive Matrices test, and the Finger Tapping test, respectively. Adjusted linear regressions models were run to determine the association between each air pollutant from each microenvironment on each outcome. RESULTS: In pooled analysis we observed high correlation (rs = 0.9) between air pollution exposures levels at home and school. However, the cohort-by-cohort analysis revealed correlations ranging from low to moderate. Air pollution exposure levels while commuting were higher than at home or school. Exposure to air pollution in the different microenvironments was not associated with working memory, attentional function, non-verbal intelligence, and fine motor function. Results remained consistently null in random-effects meta-analysis. CONCLUSIONS: No association was observed between outdoor air pollution exposure in different microenvironments (home, school, commute) and cognitive and fine motor function in children from six European birth cohorts. Future research should include a more detailed exposure assessment, considering personal measurements and time spent in different microenvironments.

Impact effects of COVID-19 pandemic on chronic disease patients: A longitudinal prospective study.

AIMS: To assess the effects of COVID-19 pandemic on clinical variables as part of the routine clinical monitoring of patients with chronic diseases in primary care. DESIGN: A prospective longitudinal study was conducted in primary care centres of the Andalusian Health Service. METHODS: Data were recorded before the pandemic (T1), during the declaration of the state of emergency (T2) and in the transition phase (T3). The Barthel index and the Short Portable Mental Status Questionnaire (SPMSQ) were used to analyse functional and cognitive changes at the three time points. HbA1c, systolic and diastolic blood pressure, heart rate, BMI and lipid levels were assessed as clinical variables. Descriptive statistics and non-parametric chi-square test were used for analysis. STROBE checklist was used for the preparation of this paper. RESULTS: A total fo148 patients with chronic conditions were included in the analysis. Data analysis revealed in T2 only significant reductions in BMI, total levels of cholesterol and HDL during the onset of the pandemic. Barthel Index, SPMSQ, blood pressure and triglycerides and LDL levels worsened in T2, and the negative effects were maintained in T3. Compared to pre-pandemic values, HbA1c levels improved in T3, but HDL levels worsened. CONCLUSIONS: COVID-19 has drastically disrupted several functional, cognitive and biological variables. These results may be useful in identifying clinical parameters that deserve closer attention in the case of a new health crisis. Further studies are needed to assess the potential impacts of each specific chronic condition. IMPACT: Cognitive and functional status, blood pressure and triglycerides and LDL levels worsen in short term, maintaining the negative effects in medium-term.

Real-world and game-based learning to enhance decision-making.

BACKGROUND: The evolving healthcare landscape necessitates highly qualified nurses equipped with a myriad of soft skills, including decision-making. Traditional teaching models have led to innovative, active methods that prioritise student participation and enhance crucial soft skill development, such as decision- making. Considering the recognised importance of improving clinical decision-making skills and the need for innovative training, a literature gap is present in assessing the effect of real world and game-based learning on decision-making abilities. OBJECTIVES: This study aimed to investigate the effect of real-world and game-based learning, specifically using case-based learning and escape room, on decision-making competence in postgraduate nursing students in academic and clinical settings. DESIGN: A descriptive, cross-sectional, quantitative intervention study was conducted, combining case-based learning and escape room methods sequentially. SETTINGS: The study was conducted among postgraduate nursing students at the University of Navarra in Spain. PARTICIPANTS: Sixty-six postgraduate nursing students, mostly women, participated in the study. METHODS: The study integrated case-based learning and escape room sequentially. Data were collected through an ad hoc online questionnaire, recorded escape times from the escape room, and academic scores. RESULTS: The study enrolled 66 participants with an average professional experience of 4.2 years. Academic results showed high scores in case resolution (average: 8.34) and knowledge tests (average: 9.21). Out of 11 groups, 81.8 % successfully escaped the escape room within 30 min, with positive questionnaire responses indicating enthusiasm, enjoyment and perceived effectiveness of the activities. CONCLUSIONS: Real-world and game-based learning significantly enhanced decision-making competence in postgraduate nursing students across academic and clinical settings, demonstrating the importance of diverse teaching methods. Further research, including comparative studies and longitudinal analyses, is needed to evaluate the educational benefits of integrating case-based learning and escape room methods in nurse education and to refine assessment tools while monitoring long-term student progress.

Effects of the Ketogenic Diet on Strength Performance in Trained Men and Women: A Systematic Review and Meta-Analysis.

Ketogenic diets (KDs) are an alternative to improve strength performance and body composition in resistance training participants. The objective of this review and meta-analysis is to verify whether a ketogenic diet produces an increase in the strength of resistance-trained participants. We have evaluated the effect of the ketogenic diet in conjunction with resistance training on the strength levels in trained participants. Boolean algorithms from various databases (PubMed, Scopus, and Web of Science) were used. Meta-analyses were carried out, one on the 1-RM squat (SQ), with 106 trained participants or athletes, and another on the 1-RM on the bench press (BP), evaluating 119 participants. We did not find significant differences between the groups in the variables of SQ or BP, although the size of the effect was slightly higher in the ketogenic group. Conclusions: KDs do not appear to impair 1-RM performance; however, this test does not appear to be the most optimal tool for assessing hypertrophy-based strength session performance in resistance-trained participants.

Ultrasound-guided peripheral intravenous canulation by emergency nurses: A systematic review and meta-analysis.

BACKGROUND: Peripheral intravenous cannulation is a common procedure in the emergency department. Nevertheless, failure rates during the first attempt are as high as 40% in adults and 65% in children. Evidence suggests that physician performed ultrasound-guided peripheral intravenous cannulation (USG-PIVC) is an effective alternative to the traditional method; however, there is insufficient data on the efficacy of the technique performed by nurses. OBJECTIVE: To examine the efficacy of the USG-PIVC technique performed by emergency department nurses. METHODS: A literature review with meta-analysis was performed. The databases used were PubMed, Scopus and CINAHL. The search was conducted in March 2023. Two meta-analysis one of clinical trials about the effectiveness and one about the succession rate were performed. RESULTS: 20 studies were selected and analysed. The studies showed that USGPIVC performed by emergency nurses increased the probability of both the overall success and a successful first attempt compared to the standard technique. In addition, patients showed high satisfaction and lower complication rates. However, the procedure had no significant effect on the time or number of attempts required. A lower probability of success was obtained as regards peripheral intravenous cannulation when the standard technique was used, OR = 0.42 (95 %CI 0.25-0.70p < 0,05). CONCLUSIONS: Ultrasound-guided peripheral intravenous cannulation performed by emergency nurses is a safe and effective technique.

Impact of SARS-COV-2 Infection on Maternal, Obstetric and Neonatal Outcomes in a Cohort of Vaccinated Women: A Pilot Study.

We aimed to investigate the impact of COVID-19 infection on maternal characteristics and obstetric and neonatal outcomes in a cohort of women in labor previously vaccinated who tested positive for SARS-CoV-2 infection, compared to aged-matched healthy controls. A retrospective case-control study was conducted among 66 women in labor. Clinical data were obtained from medical records. The attendance rates at childbirth and parenting classes, as well as the implementation of a birth plan, were significantly lower in the COVID-19 infection group (6.1% vs. 48.5%, <0.001; 6.1% vs. 33.3%, p = .005, respectively). Women with COVID-19 had a higher prevalence of prolonged postpartum hospital stay (33.3% vs. 9.1%, p = .016), and significantly higher prevalence of spontaneous preterm birth (27.3% vs. 1.09%, p = .006). Breastfeeding within the first 24 hr was also lower in women with COVID-19 (72.7% vs. 97.0%, p = .006). Maternal characteristics and neonatal outcomes are influenced by COVID-19 infection in vaccinated women. Complications include spontaneous preterm birth, prolonged postpartum hospital stay, and lack of breastfeeding within the first 24 hr. Childbirth education, parenting classes and implementing a birth plan may be associated with a decreased risk of COVID-19 infection.

Prenatal Exposure to Chemical Mixtures and Metabolic Syndrome Risk in Children.

Importance: Prenatal exposure to ubiquitous endocrine-disrupting chemicals (EDCs) may increase the risk of metabolic syndrome (MetS) in children, but few studies have studied chemical mixtures or explored underlying protein and metabolic signatures. Objective: To investigate associations of prenatal exposure to EDC mixtures with MetS risk score in children and identify associated proteins and metabolites. Design, Setting, and Participants: This population-based, birth cohort study used data collected between April 1, 2003, and February 26, 2016, from the Human Early Life Exposome cohort based in France, Greece, Lithuania, Norway, Spain, and the UK. Eligible participants included mother-child pairs with measured prenatal EDC exposures and complete data on childhood MetS risk factors, proteins, and metabolites. Data were analyzed between October 2022 and July 2023. Exposures: Nine metals, 3 organochlorine pesticides, 5 polychlorinated biphenyls, 2 polybrominated diphenyl ethers (PBDEs), 5 perfluoroalkyl substances (PFAS), 10 phthalate metabolites, 3 phenols, 4 parabens, and 4 organophosphate pesticide metabolites measured in urine and blood samples collected during pregnancy. Main Outcomes and Measures: At 6 to 11 years of age, a composite MetS risk score was constructed using z scores of waist circumference, systolic and diastolic blood pressures, triglycerides, high-density lipoprotein cholesterol, and insulin levels. Childhood levels of 44 urinary metabolites, 177 serum metabolites, and 35 plasma proteins were quantified using targeted methods. Associations were assessed using bayesian weighted quantile sum regressions applied to mixtures for each chemical group. Results: The study included 1134 mothers (mean [SD] age at birth, 30.7 [4.9] years) and their children (mean [SD] age, 7.8 [1.5] years; 617 male children [54.4%] and 517 female children [45.6%]; mean [SD] MetS risk score, -0.1 [2.3]). MetS score increased per 1-quartile increase of the mixture for metals (ß = 0.44; 95% credible interval [CrI], 0.30 to 0.59), organochlorine pesticides (ß = 0.22; 95% CrI, 0.15 to 0.29), PBDEs (ß = 0.17; 95% CrI, 0.06 to 0.27), and PFAS (ß = 0.19; 95% CrI, 0.14 to 0.24). High-molecular weight phthalate mixtures (ß = -0.07; 95% CrI, -0.10 to -0.04) and low-molecular weight phthalate mixtures (ß = -0.13; 95% CrI, -0.18 to -0.08) were associated with a decreased MetS score. Most EDC mixtures were associated with elevated proinflammatory proteins, amino acids, and altered glycerophospholipids, which in turn were associated with increased MetS score. Conclusions and Relevance: This cohort study suggests that prenatal exposure to EDC mixtures may be associated with adverse metabolic health in children. Given the pervasive nature of EDCs and the increase in MetS, these findings hold substantial public health implications.

Machine learning-based health environmental-clinical risk scores in European children.

BACKGROUND: Early life environmental stressors play an important role in the development of multiple chronic disorders. Previous studies that used environmental risk scores (ERS) to assess the cumulative impact of environmental exposures on health are limited by the diversity of exposures included, especially for early life determinants. We used machine learning methods to build early life exposome risk scores for three health outcomes using environmental, molecular, and clinical data. METHODS: In this study, we analyzed data from 1622 mother-child pairs from the HELIX European birth cohorts, using over 300 environmental, 100 child peripheral, and 18 mother-child clinical markers to compute environmental-clinical risk scores (ECRS) for child behavioral difficulties, metabolic syndrome, and lung function. ECRS were computed using LASSO, Random Forest and XGBoost. XGBoost ECRS were selected to extract local feature contributions using Shapley values and derive feature importance and interactions. RESULTS: ECRS captured 13%, 50% and 4% of the variance in mental, cardiometabolic, and respiratory health, respectively. We observed no significant differences in predictive performances between the above-mentioned methods.The most important predictive features were maternal stress, noise, and lifestyle exposures for mental health; proteome (mainly IL1B) and metabolome features for cardiometabolic health; child BMI and urine metabolites for respiratory health. CONCLUSIONS: Besides their usefulness for epidemiological research, our risk scores show great potential to capture holistic individual level non-hereditary risk associations that can inform practitioners about actionable factors of high-risk children. As in the post-genetic era personalized prevention medicine will focus more and more on modifiable factors, we believe that such integrative approaches will be instrumental in shaping future healthcare paradigms.

Growing up in different environments can greatly affect children's health later in life. This research looked at how living in cities, being exposed to chemicals, and other experiences before birth and during childhood, work together to influence children's mental, cardiovascular and respiratory health. We used advanced computer programs to help us understand these effects and estimate health risk scores. These scores are simple numerical measures that help us quantify the likelihood of children developing health issues based on their environmental exposures. Using those scores, the study identified key factors impacting children's health, in particular psycho-social, perceived environmental and prenatal pollutant exposures for mental health. It also revealed complex patterns and interactions between environmental factors. The results highlighted the potential of such risk scores to support the identification of actionable factors in high-risk children, informing tailored prevention measures in healthcare.

Integrating Multi-Omics with environmental data for precision health: A novel analytic framework and case study on prenatal mercury induced childhood fatty liver disease.

BACKGROUND: Precision Health aims to revolutionize disease prevention by leveraging information across multiple omic datasets (multi-omics). However, existing methods generally do not consider personalized environmental risk factors (e.g., environmental pollutants). OBJECTIVE: To develop and apply a precision health framework which combines multiomic integration (including early, intermediate, and late integration, representing sequential stages at which omics layers are combined for modeling) with mediation approaches (including high-dimensional mediation to identify biomarkers, mediation with latent factors to identify pathways, and integrated/quasi-mediation to identify high-risk subpopulations) to identify novel biomarkers of prenatal mercury induced metabolic dysfunction-associated fatty liver disease (MAFLD), elucidate molecular pathways linking prenatal mercury with MAFLD in children, and identify high-risk children based on integrated exposure and multiomics data. METHODS: This prospective cohort study used data from 420 mother-child pairs from the Human Early Life Exposome (HELIX) project. Mercury concentrations were determined in maternal or cord blood from pregnancy. Cytokeratin 18 (CK-18; a MAFLD biomarker) and five omics layers (DNA Methylation, gene transcription, microRNA, proteins, and metabolites) were measured in blood in childhood (age 6-10 years). RESULTS: Each standard deviation increase in prenatal mercury was associated with a 0.11 [95% confidence interval: 0.02-0.21] standard deviation increase in CK-18. High dimensional mediation analysis identified 10 biomarkers linking prenatal mercury and CK-18, including six CpG sites and four transcripts. Mediation with latent factors identified molecular pathways linking mercury and MAFLD, including altered cytokine signaling and hepatic stellate cell activation. Integrated/quasi-mediation identified high risk subgroups of children based on unique combinations of exposure levels, omics profiles (driven by epigenetic markers), and MAFLD. CONCLUSIONS: Prenatal mercury exposure is associated with elevated liver enzymes in childhood, likely through alterations in DNA methylation and gene expression. Our analytic framework can be applied across many different fields and serve as a resource to help guide future precision health investigations.

A comparison of univariate and meta-analytic structural equation modeling approaches to reliability generalization applied to the Maslach Burnout Inventory.

Introduction: Reliability is a property of tests scores that varies from sample to sample. One way of generalizing reliability of a test is to perform a meta-analysis on some reliability estimator. In 2011, a reliability generalization meta-analysis on the Maslach Burnout Inventory (MBI) was conducted, concluding that average alpha values for the MBI dimensions ranged from 0.71 to 0.88. In the present study, we aimed to update the average reliability values of the MBI by conducting a literature search from 2010 until now and comparing to statistical procedures of meta-analysis: the Univariate approach, that were used in the previous study, and a novel meta-analytic approach based on structural equation modeling. Method: An estimation of average reliability was done based on 69 independent primary reliability coefficients for the Univariate approach. The average reliability was based on 9 independent studies in the case of the Meta-analytic Structural Equation Modeling (MASEM) approach. Given that MASEM has the additional capability of testing the internal structure of a test, we also fitted several models. Results: The data was well-suited to the bifactor model, revealing the dominance of the general factor over the domain-specific ones. Acceptable overall alpha and omega coefficients were achieved for the two of the MBI dimensions, having depersonalization reliability estimates below recommendations. Discussion: In general, the MBI can be viewed as a highly interconnected three-factor scale, being its appropriate for research purposes.

Analyzing Latent Burnout Profiles in a Sample of Spanish Nursing and Psychology Undergraduates.

There is abundant literature suggesting that university students in helping professions experience high levels of stress, leading to an increased risk of developing burnout. The objective of this study was to identify burnout profiles in a sample of 1162 Spanish nursing and psychology undergraduates using latent profile analysis, a person-oriented statistical method that can identify hidden homogenous subgroups within a heterogeneous population. We expected to replicate in university students the five-profile structure (burnout, overextended, disengaged, ineffective, and engagement) proposed by Leiter and Maslach using the burnout dimensions (emotional exhaustion, cynicism, and inefficacy) as indicators. The results showed that burnout, overextended, and engagement profiles were adequately replicated. Given that levels of inefficacy and cynicism were medium to low, the ineffective and disengaged profiles somewhat deviated from those identified by Leiter and Maslach. We found differences between the five latent profiles in several psychological variables, such as depression and anxiety. These results suggest that psychosocial factors (e.g., workload) are significant among students and may adversely impact their health, leading to psychosomatic and emotional disorders. Hence, designing effective interventions to prevent health problems associated with burnout seems advisable, considering the specific burnout profile that a student exhibits.

Job satisfaction and burnout syndrome among intensive-care unit nurses: A systematic review and meta-analysis.

INTRODUCTION: The severe conditions often experienced in an intensive care unit, combined with poor working conditions, increase stress and therefore decrease job satisfaction. Sustained stress in the workplace leads to the development of burnout, a syndrome characterised by three dimensions: emotional exhaustion, depersonalisation and perceived lack of personal fulfilment. OBJECTIVE: To analyse the relationship between burnout syndrome and job satisfaction among ICU personnel. DATA SOURCES: The PubMed, CINAHL and Scopus databases were used. STUDY DESIGN: A systematic review and meta-analysis. The study sample consisted of 18 quantitative primary studies conducted in the last five years. Validated questionnaires were used to assess burnout in ICU healthcare workers, the most commonly used being the Maslach Burnout Inventory. EXTRACTION METHODS: The search equation applied was: "job satisfaction AND nurs* AND burnout AND (ICU OR intensive care units)". The search was performed in October 2022. PRINCIPAL FINDINGS: The search returned 514 results. Only 73 articles met the eligibility criteria. After reading the title and abstract, 20 articles were selected. After reading the full texts, 12 articles remained and after the reverse search, 18 articles were finally selected. The studies reported a 50% prevalence of burnout, all three dimensions of which were heightened by the COVID-19 pandemic. Analysis of the study findings revealed an inverse association between burnout and job satisfaction. CONCLUSIONS: Job dissatisfaction of ICU nurses depends on lack of experience, working conditions or working environment among others. ICU nurses with lower job satisfaction have higher levels of burnout. IMPLICATIONS FOR CLINICAL PRACTICE: This meta-analysis shows the potential value of job satisfaction on improving health outcomes related to burnout syndrome for nursing professional in Intensive Care Units. Different factors that could increase job satisfaction and consequently protect them from suffering high levels of burnout, such as salary, permanence in the service, mental health care are the responsibility of the hospital supervisor and, finally, of the own Health System. Knowledge of a risk profile based on the factors influencing job dissatisfaction would enable the implementation of effective workplace interventions to reduce or prevent the risk of burnout. Health policies should focus on protecting the worker, so in addition to improving working conditions, it would be interesting to promote coping skills in order to improve the quality of care and patient safety.

Depression in nursing students during the COVID-19 pandemic: Systematic review and meta-analysis.

The pandemic meant a change in academic approach. This had an impact on the mental health of students, leading to, among other problems, depressive disorders. The aim of this study was to find out the prevalence and factors that favoured the development of depression in nursing students during the COVID-19 pandemic. A systematic review with meta-analysis of prevalence was conducted in October 2023, using Pubmed, CINAHL and Scopus as the data sources used for the search. This review followed the guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Search equation was: "(undergraduate nurses OR nursing students) AND depression AND (COVID-19 OR Sars-CoV-2)". The final set of articles was N = 12. Quantitative primary studies using anonymous scales and surveys to assess the prevalence of depression in nursing students in the last 3 years were included. Studies show a high prevalence of depression among young university students with figures above 50%. The total sample of students in the meta-analysis was n = 4,479 with a prevalence value of 32% (CI95% 22%-42%). Affected students are characterised by young, female students. Concerns included generalised academic uncertainty, social isolation, work overload, fear of contagion and concern about teaching delivery. Coping mechanisms were generally resilience, spiritual support, laughter therapy, seeking information about COVID-19 and eating food. In conclusion, students, especially female students, are at high risk of depression due to social isolation. In addition, coping techniques were inadequate and future strategies to prevent this situation should be considered.

Exposure to bisphenol A in European women from 2007 to 2014 using human biomonitoring data - The European Joint Programme HBM4EU.

BACKGROUND: Bisphenol A (BPA; or 4,4'-isopropylidenediphenol) is an endocrine disrupting chemical. It was widely used in a variety of plastic-based manufactured products for several years. The European Food Safety Authority (EFSA) recently reduced the Tolerable Daily Intake (TDI) for BPA by 20,000 times due to concerns about immune-toxicity. OBJECTIVE: We used human biomonitoring (HBM) data to investigate the general level of BPA exposure from 2007 to 2014 of European women aged 18-73 years (n = 4,226) and its determinants. METHODS: Fifteen studies from 12 countries (Austria, Belgium, Denmark, France, Germany, Greece, Israel, Luxembourg, Slovenia, Spain, Sweden, and the United Kingdom) were included in the BPA Study protocol developed within the European Joint Programme HBM4EU. Seventy variables related to the BPA exposure were collected through a rigorous post-harmonization process. Linear mixed regression models were used to investigate the determinants of total urine BPA in the combined population. RESULTS: Total BPA was quantified in 85-100 % of women in 14 out of 15 contributing studies. Only the Austrian PBAT study (Western Europe), which had a limit of quantification 2.5 to 25-fold higher than the other studies (LOQ=2.5 µg/L), found total BPA in less than 5 % of the urine samples analyzed. The geometric mean (GM) of total urine BPA ranged from 0.77 to 2.47 µg/L among the contributing studies. The lowest GM of total BPA was observed in France (Western Europe) from the ELFE subset (GM=0.77 µg/L (0.98 µg/g creatinine), n = 1741), and the highest levels were found in Belgium (Western Europe) and Greece (Southern Europe), from DEMOCOPHES (GM=2.47 µg/L (2.26 µg/g creatinine), n = 129) and HELIX-RHEA (GM=2.47 µg/L (2.44 µg/g creatinine), n = 194) subsets, respectively. One hundred percent of women in 14 out of 15 data collections in this study exceeded the health-based human biomonitoring guidance value for the general population (HBM-GVGenPop) of 0.0115 µg total BPA/L urine derived from the updated EFSA's BPA TDI. Variables related to the measurement of total urine BPA and those related to the main socio-demographic characteristics (age, height, weight, education, smoking status) were collected in almost all studies, while several variables related to BPA exposure factors were not gathered in most of the original studies (consumption of beverages contained in plastic bottles, consumption of canned food or beverages, consumption of food in contact with plastic packaging, use of plastic film or plastic containers for food, having a plastic floor covering in the house, use of thermal paper…). No clear determinants of total urine BPA concentrations among European women were found. A broader range of data planned for collection in the original questionnaires of the contributing studies would have resulted in a more thorough investigation of the determinants of BPA exposure in European women. CONCLUSION: This study highlights the urgent need for action to further reduce exposure to BPA to protect the population, as is already the case in the European Union. The study also underscores the importance of pre-harmonizing HBM design and data for producing comparable data and interpretable results at a European-wide level, and to increase HBM uptake by regulatory agencies.

Glomerulonefritis lúpica y otras glomerulopatías autoinmunes / Lupus glomerulonephritis and other autoimmune glomerulonephritis

La glomerulonefritis es un término empleado para expresar la proliferación e inflamación endocapilar del glomérulo renal, que clínicamente puede manifestarse de numerosas formas e incluso permanecer asintomática. En su etiología se encuentran múltiples mecanismos, como la participación de microorganismos y parásitos, aunque es destacable el mecanismo autoinmune en el que se identifican varios componentes del sistema inmune, entre ellos el sistema del complemento. Un ejemplo de este último mecanismo es la glomerulonefritis secundaria al Lupus Eritematoso Sistémico (LES), que ha sido objeto de investigación en los últimos años, y en la que se han hecho importantes avances en cuanto al descubrimiento de nuevas moléculas implicadas en el proceso etiopatogénico. Esto ha conseguido abrir una puerta a nuevas terapias que reduzcan la mortalidad y mejoren la calidad de vida. Se ha revisado la fisiopatología, clínica, diagnóstico, pronóstico y tratamientos, incluyendo los emergentes, en cuanto a glomerulonefritis haciendo hincapié en la glomerulonefritis lúpica y otras glomerulonefritis de mecanismo igualmente autoinmune.

Actinomicosis hepática. Presentación de un caso y algunas consideraciones / Hepatic actinomycosis. Presentation of a case and some considerations

Se presenta un caso de actinomicosis hepática en una mujer de 48 años con antecedentes de haber sido operada de absceso gigante de la pared abdominal y de usar dispositivo intrauterino hacía 10 años. Se describen los hallazgos clínicos de laboratorio y de histopatología. Se revisa la incidencia, localización, origen, patogénesis, clínica y diagnóstico. Se enfatiza en la terapéutica y los medios diagnósticos más utilizados en el momento actual