Parturition at term: induction, second and third stages of labor, and optimal management of life-threatening complications-hemorrhage, infection, and uterine rupture.

Childbirth is a defining moment in anyone's life, and it occurs 140 million times per year. Largely a physiologic process, parturition does come with risks; one mother dies every two minutes. These deaths occur mostly among healthy women, and many are considered preventable. For each death, 20 to 30 mothers experience complications that compromise their short- and long-term health. The risk of birth extends to the newborn, and, in 2020, 2.4 million neonates died, 25% in the first day of life. Hence, intrapartum care is an important priority for society. The American Journal of Obstetrics & Gynecology has devoted two special Supplements in 2023 and 2024 to the clinical aspects of labor at term. This article describes the content of the Supplements and highlights new developments in the induction of labor (a comparison of methods, definition of failed induction, new pharmacologic agents), management of the second stage, the value of intrapartum sonography, new concepts on soft tissue dystocia, optimal care during the third stage, and common complications that account for maternal death, such as infection, hemorrhage, and uterine rupture. All articles are available to subscribers and non-subscribers and have supporting video content to enhance dissemination and improve intrapartum care. Our hope is that no mother suffers because of lack of information.

New labor curves of dilation and station to improve the accuracy of predicting labor progress.

BACKGROUND: The diagnosis of failure to progress, the most common indication for intrapartum cesarean delivery, is based on the assessment of cervical dilation and station over time. Labor curves serve as references for expected changes in dilation and fetal descent. The labor curves of Friedman, Zhang et al, and others are based on time alone and derived from mothers with spontaneous labor onset. However, labor induction is now common, and clinicians also consider other factors when assessing labor progress. Labor curves that consider the use of labor induction and other factors that influence labor progress have the potential to be more accurate and closer to clinical decision-making. OBJECTIVE: This study aimed to compare the prediction errors of labor curves based on a single factor (time) or multiple clinically relevant factors using two modeling methods: mixed-effects regression, a standard statistical method, and Gaussian processes, a machine learning method. STUDY DESIGN: This was a longitudinal cohort study of changes in dilation and station based on data from 8022 births in nulliparous women with a live, singleton, vertex-presenting fetus ≥35 weeks of gestation with a vaginal delivery. New labor curves of dilation and station were generated with 10-fold cross-validation. External validation was performed using a geographically independent group. Model variables included time from the first examination in the 20 hours before delivery; dilation, effacement, and station recorded at the previous examination; cumulative contraction counts; and use of epidural anesthesia and labor induction. To assess model accuracy, differences between each model's predicted value and its corresponding observed value were calculated. These prediction errors were summarized using mean absolute error and root mean squared error statistics. RESULTS: Dilation curves based on multiple parameters were more accurate than those derived from time alone. The mean absolute error of the multifactor methods was better (lower) than those of the single-factor methods (0.826 cm [95% confidence interval, 0.820-0.832] for the multifactor machine learning and 0.893 cm [95% confidence interval, 0.885-0.901] for the multifactor mixed-effects method and 2.122 cm [95% confidence interval, 2.108-2.136] for the single-factor methods; P<.0001 for both comparisons). The root mean squared errors of the multifactor methods were also better (lower) than those of the single-factor methods (1.126 cm [95% confidence interval, 1.118-1.133] for the machine learning [P<.0001] and 1.172 cm [95% confidence interval, 1.164-1.181] for the mixed-effects methods and 2.504 cm [95% confidence interval, 2.487-2.521] for the single-factor [P<.0001 for both comparisons]). The multifactor machine learning dilation models showed small but statistically significant improvements in accuracy compared to the mixed-effects regression models (P<.0001). The multifactor machine learning method produced a curve of descent with a mean absolute error of 0.512 cm (95% confidence interval, 0.509-0.515) and a root mean squared error of 0.660 cm (95% confidence interval, 0.655-0.666). External validation using independent data produced similar findings. CONCLUSION: Cervical dilation models based on multiple clinically relevant parameters showed improved (lower) prediction errors compared to models based on time alone. The mean prediction errors were reduced by more than 50%. A more accurate assessment of departure from expected dilation and station may help clinicians optimize intrapartum management.

Clinical chorioamnionitis at term: definition, pathogenesis, microbiology, diagnosis, and treatment.

Clinical chorioamnionitis, the most common infection-related diagnosis in labor and delivery units, is an antecedent of puerperal infection and neonatal sepsis. The condition is suspected when intrapartum fever is associated with two other maternal and fetal signs of local or systemic inflammation (eg, maternal tachycardia, uterine tenderness, maternal leukocytosis, malodorous vaginal discharge or amniotic fluid, and fetal tachycardia). Clinical chorioamnionitis is a syndrome caused by intraamniotic infection, sterile intraamniotic inflammation (inflammation without bacteria), or systemic maternal inflammation induced by epidural analgesia. In cases of uncertainty, a definitive diagnosis can be made by analyzing amniotic fluid with methods to detect bacteria (Gram stain, culture, or microbial nucleic acid) and inflammation (white blood cell count, glucose concentration, interleukin-6, interleukin-8, matrix metalloproteinase-8). The most common microorganisms are Ureaplasma species, and polymicrobial infections occur in 70% of cases. The fetal attack rate is low, and the rate of positive neonatal blood cultures ranges between 0.2% and 4%. Intrapartum antibiotic administration is the standard treatment to reduce neonatal sepsis. Treatment with ampicillin and gentamicin have been recommended by professional societies, although other antibiotic regimens, eg, cephalosporins, have been used. Given the importance of Ureaplasma species as a cause of intraamniotic infection, consideration needs to be given to the administration of antimicrobial agents effective against these microorganisms such as azithromycin or clarithromycin. We have used the combination of ceftriaxone, clarithromycin, and metronidazole, which has been shown to eradicate intraamniotic infection with microbiologic studies. Routine testing of neonates born to affected mothers for genital mycoplasmas could improve the detection of neonatal sepsis. Clinical chorioamnionitis is associated with decreased uterine activity, failure to progress in labor, and postpartum hemorrhage; however, clinical chorioamnionitis by itself is not an indication for cesarean delivery. Oxytocin is often administered for labor augmentation, and it is prudent to have uterotonic agents at hand to manage postpartum hemorrhage. Infants born to mothers with clinical chorioamnionitis near term are at risk for early-onset neonatal sepsis and for long-term disability such as cerebral palsy. A frontier is the noninvasive assessment of amniotic fluid to diagnose intraamniotic inflammation with a transcervical amniotic fluid collector and a rapid bedside test for IL-8 for patients with ruptured membranes. This approach promises to improve diagnostic accuracy and to provide a basis for antimicrobial administration.

Anaphylaxis-induced premature uterine contractions: a case report and literature review.

BACKGROUND: Preterm labor is caused by multiple etiologies, including intra-amniotic infection and/or intra-amniotic inflammation, vascular disorders, cervical disease, decidual senescence, and breakdown of maternal-fetal tolerance. Accumulating evidence in vivo and in vitro has shown that an allergic reaction, including anaphylaxis, can induce preterm uterine contractions. This report describes a case of a pregnant woman who developed anaphylaxis and regular uterine contractions after the ingestion of a strawberry-coated biscuit. We also review the mechanism of allergic reaction (hypersensitivity)-induced preterm labor. Case presentation A 31-year-old woman (gravida 1, para 0) at 30+2 weeks of gestation was admitted to the labor and delivery unit with regular uterine contractions and anaphylactic symptoms after she ingested a strawberry-coated biscuit as a snack. The uterine contractions resolved after the treatment of anaphylaxis by administering antihistamines and epinephrine. The patient subsequently delivered at 39+3 weeks of gestation. The amniotic fluid profile showed no infection or inflammation. A postpartum skin-prick test confirmed a positive type 1 hypersensitivity reaction to the strawberry-coated biscuit. CONCLUSIONS: We report a case of anaphylaxis-induced uterine contractility in which uterine contractions subsided after the treatment of anaphylaxis. The absence of intra-amniotic infection and/or intra-amniotic inflammation and the cause of the anaphylaxis were confirmed. Our findings indicate that maternal allergic reactions may be one of the mechanisms of preterm labor.

Vaginal Progesterone to Prevent Spontaneous Preterm Birth in Women With a Sonographic Short Cervix: The Story of the PREGNANT Trial.

The PREGNANT trial was a randomized, placebo-controlled, multicenter trial designed to determine the efficacy and safety of vaginal progesterone (VP) to reduce the risk of birth < 33 weeks and of neonatal complications in women with a sonographic short cervix (10 to 20 mm) in the mid-trimester (19 to 23 6/7 wk). Patients allocated to receive VP had a 45% lower rate of preterm birth (8.9% vs 16.1%; relative risk = 0.55; 95% CI: 0.33-0.92). Neonates born to mothers allocated to VP had a 60% reduction in the rate of respiratory distress syndrome. This article reviews the background, design, execution, interpretation, and impact of the PREGNANT Trial.

Etiologically Based Functional Taxonomy of the Preterm Birth Syndrome.

Preterm birth (PTB) is a complex syndrome traditionally defined by a single parameter, namely, gestational age at birth (ie, ˂37 weeks). This approach has limitations for clinical usefulness and may explain the lack of progress in identifying cause-specific effective interventions. The authors offer a framework for a functional taxonomy of PTB based on (1) conceptual principles established a priori; (2) known etiologic factors; (3) specific, prospectively identified obstetric and neonatal clinical phenotypes; and (4) postnatal follow-up of growth and development up to 2 years of age. This taxonomy includes maternal, placental, and fetal conditions routinely recorded in data collection systems.

Integrating fNIRS and machine learning: shedding light on Parkinson's disease detection.

The purpose of this research is to introduce an approach to assist the diagnosis of Parkinson's disease (PD) by classifying functional near-infrared spectroscopy (fNIRS) studies as PD positive or negative. fNIRS is a non-invasive optical signal modality that conveys the brain's hemodynamic response, specifically changes in blood oxygenation in the cerebral cortex; and its potential as a tool to assist PD detection deserves to be explored since it is non-invasive and cost-effective as opposed to other neuroimaging modalities. Besides the integration of fNIRS and machine learning, a contribution of this work is that various approaches were implemented and tested to find the implementation that achieves the highest performance. All the implementations used a logistic regression model for classification. A set of 792 temporal and spectral features were extracted from each participant's fNIRS study. In the two best performing implementations, an ensemble of feature-ranking techniques was used to select a reduced feature subset, which was subsequently reduced with a genetic algorithm. Achieving optimal detection performance, our approach reached 100 % accuracy, precision, and recall, with an F1 score and area under the curve (AUC) of 1, using 14 features. This significantly advances PD diagnosis, highlighting the potential of integrating fNIRS and machine learning for non-invasive PD detection.

Causal Forest Machine Learning Analysis of Parkinson's Disease in Resting-State Functional Magnetic Resonance Imaging.

In recent years, Artificial Intelligence has been used to assist healthcare professionals in detecting and diagnosing neurodegenerative diseases. In this study, we propose a methodology to analyze functional Magnetic Resonance Imaging signals and perform classification between Parkinson's disease patients and healthy participants using Machine Learning algorithms. In addition, the proposed approach provides insights into the brain regions affected by the disease. The functional Magnetic Resonance Imaging from the PPMI and 1000-FCP datasets were pre-processed to extract time series from 200 brain regions per participant, resulting in 11,600 features. Causal Forest and Wrapper Feature Subset Selection algorithms were used for dimensionality reduction, resulting in a subset of features based on their heterogeneity and association with the disease. We utilized Logistic Regression and XGBoost algorithms to perform PD detection, achieving 97.6% accuracy, 97.5% F1 score, 97.9% precision, and 97.7%recall by analyzing sets with fewer than 300 features in a population including men and women. Finally, Multiple Correspondence Analysis was employed to visualize the relationships between brain regions and each group (women with Parkinson, female controls, men with Parkinson, male controls). Associations between the Unified Parkinson's Disease Rating Scale questionnaire results and affected brain regions in different groups were also obtained to show another use case of the methodology. This work proposes a methodology to (1) classify patients and controls with Machine Learning and Causal Forest algorithm and (2) visualize associations between brain regions and groups, providing high-accuracy classification and enhanced interpretability of the correlation between specific brain regions and the disease across different groups.

Classification of preeclampsia according to molecular clusters with the goal of achieving personalized prevention.

The prevention of pre-eclampsia is difficult due to the syndromic nature and multiple underlying mechanisms of this severe complication of pregnancy. The current clinical distinction between early- and late-onset disease, although clinically useful, does not reflect the true nature and complexity of the pathologic processes leading to pre-eclampsia. The current gaps in knowledge on the heterogeneous molecular pathways of this syndrome and the lack of adequate, specific diagnostic methods are major obstacles to early screening and tailored preventive strategies. The development of novel diagnostic tools for detecting the activation of the identified disease pathways would enable early, accurate screening and personalized preventive therapies. We implemented a holistic approach that includes the utilization of different proteomic profiling methods of maternal plasma samples collected from various ethnic populations and the application of systems biology analysis to plasma proteomic, maternal demographic, clinical characteristic, and placental histopathologic data. This approach enabled the identification of four molecular subclasses of pre-eclampsia in which distinct and shared disease mechanisms are activated. The current review summarizes the results and conclusions from these studies and the research and clinical implications of our findings.

The vaginal immunoproteome for the prediction of spontaneous preterm birth: A retrospective longitudinal study.

Background: Preterm birth is the leading cause of neonatal morbidity and mortality worldwide. Most cases of preterm birth occur spontaneously and result from preterm labor with intact (spontaneous preterm labor [sPTL]) or ruptured (preterm prelabor rupture of membranes [PPROM]) membranes. The prediction of spontaneous preterm birth (sPTB) remains underpowered due to its syndromic nature and the dearth of independent analyses of the vaginal host immune response. Thus, we conducted the largest longitudinal investigation targeting vaginal immune mediators, referred to herein as the immunoproteome, in a population at high risk for sPTB. Methods: Vaginal swabs were collected across gestation from pregnant women who ultimately underwent term birth, sPTL, or PPROM. Cytokines, chemokines, growth factors, and antimicrobial peptides in the samples were quantified via specific and sensitive immunoassays. Predictive models were constructed from immune mediator concentrations. Results: Throughout uncomplicated gestation, the vaginal immunoproteome harbors a cytokine network with a homeostatic profile. Yet, the vaginal immunoproteome is skewed toward a pro-inflammatory state in pregnant women who ultimately experience sPTL and PPROM. Such an inflammatory profile includes increased monocyte chemoattractants, cytokines indicative of macrophage and T-cell activation, and reduced antimicrobial proteins/peptides. The vaginal immunoproteome has improved predictive value over maternal characteristics alone for identifying women at risk for early (<34 weeks) sPTB. Conclusions: The vaginal immunoproteome undergoes homeostatic changes throughout gestation and deviations from this shift are associated with sPTB. Furthermore, the vaginal immunoproteome can be leveraged as a potential biomarker for early sPTB, a subset of sPTB associated with extremely adverse neonatal outcomes. Funding: This research was conducted by the Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS) under contract HHSN275201300006C. ALT, KRT, and NGL were supported by the Wayne State University Perinatal Initiative in Maternal, Perinatal and Child Health.

Human pregnancies last 40 weeks on average. Preterm births, defined as live births before 37 weeks, occur in about one in ten pregnancies. Being born too early is the main cause of a number of diseases and death in newborn babies. Preterm births are further divided into those that happen early ­ before 34 weeks ­ and those that happen late ­ between 34 and 37 weeks. There are also differences between preterm births in which the amniotic sac ruptures before or after the start of labor. Although several factors can lead to spontaneous preterm birth, bacteria getting into the amniotic fluid around the fetus are a well-known trigger. These bacteria usually come from the vagina. In the past, researchers have studied the number and types of bacteria in the vagina of people who had a normal pregnancy and those that had a preterm birth to predict who is more at risk of preterm birth. However, predictions based only on data about bacteria have been less useful so far. Instead, it might be better to investigate a person's immune response during pregnancy. Shaffer et al. addressed this gap by asking whether measuring the levels of proteins involved in the immune response could help predict preterm births. Shaffer et al. collected vaginal fluids from 739 individuals of predominately African American ethnicity with an average BMI of 28.7 ­ representing a population at high risk for spontaneous preterm birth. The swabs were taken at multiple points during their pregnancy, and 31 different immune-related proteins in those fluids were measured. The researchers further noted whether these individuals had a normal or a preterm birth. The data showed that, compared to normal births, preterm births are associated with higher levels of proteins that attract white blood cells and promote inflammation, such as IL-6 and IL-1ß. Vaginal fluids from individuals who went on to have an early preterm birth where the amniotic sac ruptured before labor, contained lower levels of proteins known as defensins, which defend the body from bacteria. With these new data from vaginal swabs, Shaffer et al. could make better predictions about the likelihood of preterm birth in general and early preterm birth with the amniotic sac ruptured before labor. For the latter scenario, the predictions were not improved when combining immune protein data with other characteristics of the pregnant person, such as age. These findings suggest that clinicians may be able to use measurements of immune-related proteins to help predict preterm births, so that pregnant individuals at high risk can receive extra care. Further research will have to validate the data and determine whether the findings apply more widely.

Deciphering maternal-fetal cross-talk in the human placenta during parturition using single-cell RNA sequencing.

Labor is a complex physiological process requiring a well-orchestrated dialogue between the mother and fetus. However, the cellular contributions and communications that facilitate maternal-fetal cross-talk in labor have not been fully elucidated. Here, single-cell RNA sequencing (scRNA-seq) was applied to decipher maternal-fetal signaling in the human placenta during term labor. First, a single-cell atlas of the human placenta was established, demonstrating that maternal and fetal cell types underwent changes in transcriptomic activity during labor. Cell types most affected by labor were fetal stromal and maternal decidual cells in the chorioamniotic membranes (CAMs) and maternal and fetal myeloid cells in the placenta. Cell-cell interaction analyses showed that CAM and placental cell types participated in labor-driven maternal and fetal signaling, including the collagen, C-X-C motif ligand (CXCL), tumor necrosis factor (TNF), galectin, and interleukin-6 (IL-6) pathways. Integration of scRNA-seq data with publicly available bulk transcriptomic data showed that placenta-derived scRNA-seq signatures could be monitored in the maternal circulation throughout gestation and in labor. Moreover, comparative analysis revealed that placenta-derived signatures in term labor were mirrored by those in spontaneous preterm labor and birth. Furthermore, we demonstrated that early in gestation, labor-specific, placenta-derived signatures could be detected in the circulation of women destined to undergo spontaneous preterm birth, with either intact or prelabor ruptured membranes. Collectively, our findings provide insight into the maternal-fetal cross-talk of human parturition and suggest that placenta-derived single-cell signatures can aid in the development of noninvasive biomarkers for the prediction of preterm birth.

A mitochondrial regulator protein, MNRR1, is elevated in the maternal blood of women with preeclampsia.

OBJECTIVE: Preeclampsia, one of the most serious obstetric complications, is a heterogenous disorder resulting from different pathologic processes. However, placental oxidative stress and an anti-angiogenic state play a crucial role. Mitochondria are a major source of cellular reactive oxygen species. Abnormalities in mitochondrial structures, proteins, and functions have been observed in the placentae of patients with preeclampsia, thus mitochondrial dysfunction has been implicated in the mechanism of the disease. Mitochondrial nuclear retrograde regulator 1 (MNRR1) is a newly characterized bi-organellar protein with pleiotropic functions. In the mitochondria, this protein regulates cytochrome c oxidase activity and reactive oxygen species production, whereas in the nucleus, it regulates the transcription of a number of genes including response to tissue hypoxia and inflammatory signals. Since MNRR1 expression changes in response to hypoxia and to an inflammatory signal, MNRR1 could be a part of mitochondrial dysfunction and involved in the pathologic process of preeclampsia. This study aimed to determine whether the plasma MNRR1 concentration of women with preeclampsia differed from that of normal pregnant women. METHODS: This retrospective case-control study included 97 women with preeclampsia, stratified by gestational age at delivery into early (<34 weeks, n = 40) and late (≥34 weeks, n = 57) preeclampsia and by the presence or absence of placental lesions consistent with maternal vascular malperfusion (MVM), the histologic counterpart of an anti-angiogenic state. Women with an uncomplicated pregnancy at various gestational ages who delivered at term served as controls (n = 80) and were further stratified into early (n = 25) and late (n = 55) controls according to gestational age at venipuncture. Maternal plasma MNRR1 concentrations were determined by an enzyme-linked immunosorbent assay. RESULTS: 1) Women with preeclampsia at the time of diagnosis (either early or late disease) had a significantly higher median (interquartile range, IQR) plasma MNRR1 concentration than the controls [early preeclampsia: 1632 (924-2926) pg/mL vs. 630 (448-4002) pg/mL, p = .026, and late preeclampsia: 1833 (1441-5534) pg/mL vs. 910 (526-6178) pg/mL, p = .021]. Among women with early preeclampsia, those with MVM lesions in the placenta had the highest median (IQR) plasma MNRR1 concentration among the three groups [with MVM: 2066 (1070-3188) pg/mL vs. without MVM: 888 (812-1781) pg/mL, p = .03; and with MVM vs. control: 630 (448-4002) pg/mL, p = .04]. There was no significant difference in the median plasma MNRR1 concentration between women with early preeclampsia without MVM lesions and those with an uncomplicated pregnancy (p = .3). By contrast, women with late preeclampsia, regardless of MVM lesions, had a significantly higher median (IQR) plasma MNRR1 concentration than women in the control group [with MVM: 1609 (1392-3135) pg/mL vs. control: 910 (526-6178), p = .045; and without MVM: 2023 (1578-8936) pg/mL vs. control, p = .01]. CONCLUSIONS: MNRR1, a mitochondrial regulator protein, is elevated in the maternal plasma of women with preeclampsia (both early and late) at the time of diagnosis. These findings may reflect some degree of mitochondrial dysfunction, intravascular inflammation, or other unknown pathologic processes that characterize this obstetrical syndrome.

Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research.

Every year, 11% of infants are born preterm with significant health consequences, with the vaginal microbiome a risk factor for preterm birth. We crowdsource models to predict (1) preterm birth (PTB; <37 weeks) or (2) early preterm birth (ePTB; <32 weeks) from 9 vaginal microbiome studies representing 3,578 samples from 1,268 pregnant individuals, aggregated from public raw data via phylogenetic harmonization. The predictive models are validated on two independent unpublished datasets representing 331 samples from 148 pregnant individuals. The top-performing models (among 148 and 121 submissions from 318 teams) achieve area under the receiver operator characteristic (AUROC) curve scores of 0.69 and 0.87 predicting PTB and ePTB, respectively. Alpha diversity, VALENCIA community state types, and composition are important features in the top-performing models, most of which are tree-based methods. This work is a model for translation of microbiome data into clinically relevant predictive models and to better understand preterm birth.

Evaluation of abortions spontaneously induced by Neospora caninum and risk factors in dairy cattle from Lima, Peru / Avaliação de abortos induzidos espontaneamente por Neospora caninum e fatores de risco em bovinos leiteiros de Lima, Peru

Abstract Our objective was to identify the direct and indirect presence of Neospora caninum in dairy cattle and their aborted fetuses from Lima, Peru. A total 219 blood samples obtained from dairy cattle with records of spontaneous abortion were collected to detect antibodies against N. caninum in serum with indirect ELISA and search for risk-factor associations. 68 fetal aborted tissue samples of these cows were analyzed by PCR, indirect ELISA and histopathology assay to detect N. caninum presence. The prevalence ratio (PR) and 95% confidence intervals (CI) were estimated. Univariate analysis was performed using the chi-squared test. Among the 68 aborted fetuses collected, 10 (15%) were positive in at least two diagnostic tests. Among 219 serum samples, 46.6% (95% CI: 40.0%-53.3%) were positive. Cows with 4 years or older (PR: 7.10; 95% CI: 4.89-10.67) and multiparous (PR: 1.76; 95% CI: 1.11-2.80) were found to be more likely to possess N. caninum antibodies. This study detects presence of N. caninum in dairy cattle and their aborted fetus from Lima valley, suggesting biosecurity management improve to neosporosis control.

Resumo O objetivo do trabalho foi diagnosticar a presença direta e indireta de Neospora caninum em fetos abortados e de soros de bovinos leiteiros de Lima, Peru. Um total de 219 amostras de sangue obtido de vacas leiteiras, com registros de abortos espontâneos, foi coletado para detectar anticorpos contra N. caninum no soro (pelo ELISA indireto), e para estudar associações com fatores de risco. Foram examinadas 68 amostras de tecido fetal abortado das vacas soropositivas pela PCR, ELISA indireto e histopatologia para determinar a presença de N. caninum. A taxa de prevalência (PR) e o intervalo de confiança (CI) de 95% foram estimados. Análise univariada foi realizada usando o teste de Qui-quadrado. Entre os 68 fetos abortados, 10 (15%) foram positivos em pelo menos dois testes diagnósticos. Entre as 219 amostras de soro, 46,6% (95% IC: 40,0%-53,3%) foram positivas. Vacas com 4 anos ou mais de idade (RP: 7,10; 95% IC: 4,89-10,67) e multíparas (RP: 1,76; 95% IC: 1,11-2,80) apresentaram maior frequência de anticorpos contra N. caninum. Este estudo demonstrou a presença de N. caninum em bovinos leiteiros e em fetos abortados oriundos do vale de Lima, sugerindo a implementação de medidas de biossegurança, para o controle da neosporose.

Gobernanza digital: Un análisis de propuestas para Costa Rica / Digital governance: A proposal analysis for Costa Rica

Resumen El presente artículo busca ofrecer una mirada comprehensiva a las recientes propuestas en materia de gobernanza digital en Costa Rica, específicamente respecto a la rectoría del sector. Esto se hará mediante un repaso documental, así como siguiendo un método de seguimiento de proceso; luego, el artículo presentará la experiencia nacional con respecto de aquellas de los principales referentes internacionales en la materia. Se concluirá con una serie de recomendaciones a partir de las mejores prácticas observadas en instituciones exitosas en el campo de gobierno digital aplicables al caso costarricense, dado el bajo nivel de éxito que ha tenido la institucionalización del gobierno digital en el país.

Abstract This article aims to provide a comprehensive look at recent proposals of digital governance in Costa Rica, from its institutional design, specifically regarding the ruling entity of the sector. This will be achieved through a documentary review, as well as following a process-tracing method. Then, the article will focus on presenting the national experience with respect of that of the international benchmarks on the subject. Conclusively, it will provide a series of recommendations from the best practices observed in successful institutions in the field of digital Government, applicable to the Costa Rican case given its low success level regarding the country's institutionalization of a Digital Government.

Subtipos neuropsicológicos en dos grupos de niños mexicanos: con trastorno específico del aprendizaje o con buen desempeño académico / Neuropsychological subtypes in two groups of mexican children: with specific learning disability or good academic performance

En el presente trabajo se compararon dos grupos de niños mexicanos en edades comprendidas entre los 8 a 10 años, el primer grupo con trastorno específico en el aprendizaje (TEA), tanto en la precisión de la lectura como en el cálculo, y el otro con buen desempeño académico (BDA), por medio de Escala Wechsler de Inteligencia para Niños, en su cuarta versión (WISC-IV) y la batería de Evaluación Neuropsicológica Infantil (ENI), (subpruebas de Habilidades Académicas, Memoria, Atención y Habilidades Metalingüísticas), ambos instrumentos normados en población mexicana. Se encontraron diferencias significativas (p≤ 0.05) entre los niños BDA y TEA, mediante la U de Mann Whitney, en todas las subpruebas evaluadas a excepción del Índice Velocidad de Procesamiento (WISC), Conteo, Codificación/Evocación y Atención Auditiva, además de Atención visual (ENI). Mediante el Análisis de Componentes Principales se identificaron 5 subgrupos: 2 en los niños con BDA y 3 en los TEA. Las diferencias significativas (p≤ 0.05)entre las variables cognitivas y académicas fueron determinadas mediante la prueba de Kruskal-Wallis. Fue posible observar que los subgrupos TEA obtuvieron puntajes más bajos que los subgrupos BDA tanto en habilidades académicas como en otras variables cognitivas,siendo el Índice de Memoria de Trabajo en la escala Wechsler y las Habilidades Metalingüísticas de la ENI las que mejor diferenciaron a los subgrupos TEA de los BDA.Conclusión: La aplicación de instrumentos normados en la población bajo estudio resulta de gran utilidad para identificar subtipos neuropsicológicos tantoen niños con BDA como con TEA.

In this work two groups of Mexican children aged between 8 to 10 years old were compared, the first group with specific learningdisorder (SLD),in both reading accuracy as in the calculation, and the other compared to good performance academic (GPA) by Wechsler Intelligence Scale for Children, in its fourth version (WISC-IV) and battery Child Neuropsychological Assessment (ENI), (subtests Academic Skills, Memory, Attention and Metalinguistic Skills), both instruments normed in Mexican population. Significant differences (p ≤ 0.05) were found among SLD and GPA children, by Mann Whitney U Test, they were found in all subtests evaluated except Processing Speed Rate (WISC), Counting, Coding / Evocation and Auditory Attention, also Visual Attention (ENI). By the Principal Component Analysis were identified five subgroups: 2 children with GPA and 3 in the SLD. Significant differences (p ≤ 0.05) between cognitive and academic variables were determined by the Kruskal-Wallis Test. It was possible to observe that the TEA subgroups scored lower than the BDA subgroups in academic abilities as well as in other cognitive variables, with the Working Memory Index on the Wechsler scale as the subtests that evaluate the ENI Metalinguistic Skills the variables that give the best discrimination between the TEA and the BDA subgroups.Conclusion: The application of normed instruments in the population under study is useful to identify neuropsychological subtypes in children with GPA as SLD.

Primer simulacro de amputación traumática de miembro superior de necesidad y rescate en un escenario inhóspito. Base Marambio, Antártida Argentina. 9 de diciembre de 2011 / First simulacrum of traumatic upper limb amputation of necessity and rescue a bleak scenario. Bse Marambio, Antarctica Argentina. December 9, 2011

Se efectuó un simulacro de amputación de necesidad y rescate en dependencias de la Base Marambio (Antártida Argentina). La amputación de una extremidad constituye un dilema al cual está sujeto un médico en determinadas situaciones críticas. Además, los intentos infructuosos para salvar una extremidad irrecuperable están asociados a una alta morbilidad y muchas veces son letales para el paciente. Existen innumerables discusiones en relación con los criterios de predicción para conservar un miembro lesionado, por lo que se han propuesto varios índices de valoración para determinar qué extremidad puede ser conservada o cuál amputada. Por ello en el presente trabajo se efectúa una revisión bibliográfica sobre el uso de tablas y/o criterios para la toma de tal decisión. Se efectuó un ejercicio simulado en el cual se consideró la escena (situación de aislamiento geográfico, características inhóspitas y recursos limitados en la Antártida) y el estado de atrapamiento de la víctima, más la irrecuperabilidad de la porción distal del miembro superior, en donde debía priorizarse la vida del paciente, respecto a la pérdida de la extremidad que ya se encontraba mutilada en forma irreversible, con el fin de ser estabilizado y extricado del lugar para ser trasladado a otro espacio para completar con mejores medios su tratamiento definitivo. Dicho ejercicio se realizó como parte de la capacitación continua del personal que se desempeña en las Bases Antárticas, que dadas las características del escenario antártico, hacen necesaria tal preparación para afrontar situaciones de extrema gravedad en un lugar inhóspito y alejado del continente.

We conducted a mock amputation and rescue agencies need the Marambio Base (Antarctica Argentina). The amputation of a limb is a dilemma which is subject to a doctor in certain critical situations. In addition, unsuccessful attempts to save a limb unrecoverable are associated with high morbidity and are often lethal to the patient. There are countIess discussions regarding prediction criteria to retain an injured limb, so that several indices have been proposed assessment to determine what can be preserved limb amputated or what, why in the present study the authors reviewed the literature on use of tables and/or criteria for making such a decision. We conducted a simulation exercise, which was considered the scene (geographical isolation, limited resources and inhospitable features in Antarctica) and the state of entrapment of the victim, plus the irrecoverable from the distal upper limb, where needed to prioritize the patient's life, about the loss of the limb that was already irreversibly mutilated, in order to be stabilized and extricated the place to be moved to a place with better ways to complete definitive treatment. This exercise was conducted as part of the continuous training of personnel working in the Antarctic Bases, that given the characteristics of the Antarctic scenario necessitates such a preparation to deal with situations of extreme gravity in an inhospitable place and away from the continent.

Diagnóstico de la infección por Helicobacter pylori por PCR en jugo gástrico y biopsias gastroesofágicas de pacientes dispépticos / Diagnosis of Helicobacter pylori infection by PCR in gastric juice and gastroesophageal biopsies from dyspeptic patients

Helicobacter pylori es el principal agente bacteriano implicado en lesiones gastroduodenales inflamatorias en humanos y una de las bacterias patógenas más comunes, con una alta prevalencia en Venezuela. El diagnóstico de la infección por H. pylori se realiza frecuentemente en biopsias gástricas mediante PCR; sin embargo, el jugo gástrico y las biopsias esofágicas podrían también ser utilizadas como muestras alternativas para determinar la infección. En el presente trabajo se evalúo la infección por H. pylori en diferentes muestras del tracto digestivo superior de pacientes dispépticos, mediante la detección por PCR de genes esenciales (glmM y ureA) y de virulencia (cagA). De los 104 pacientes estudiados, H. pylori fue encontrado en 53,8; 69,2 y 58,7% de las muestras de jugo gástrico y biopsias gástricas y esofágicas, respectivamente, con una predominancia de cepas tipo I (cagA+) en jugo y biopsias gástricas y cepas tipo II (cagA-) en biopsias esofágicas. La detección de H. pylori en jugo gástrico y biopsias esofágicas mostró una alta sensibilidad y especificidad en relación a la detección en biopsias gástricas, lo cual sugiere que ambos tipos de muestras pueden ser utilizados eficazmente para un diagnóstico seguro de la infección por H. pylori.

Helicobacter pylori is the main bacterial agent implicated in human gastroduodenal inflammatory pathologies; being one of the most common bacterial pathogens, with a high prevalence in Venezuela. The diagnosis of H. pylori infection is performed primarily in gastric biopsies through PCR; however, string-absorbed gastric juice and esophageal biopsies could be also used as alternative specimens to determine the infection. In this study the H. pylori infection was assessed in different specimens of the upper tract digestive of dyspeptic patients, though the detection by PCR of essential genes (glmM and ureA) and genes encoding virulence factors (cagA). Of 104 patients studied, H. pylori was found in 53.8, 69,2 and 58,7% of gastric juice, and gastric and esophageal biopsies, respectively; with predominance of the strains type I (cagA+) in juice and gastric biopsies, and strains type II (cagA-) in esophageal biopsies. The detection of H. pylori in gastric juice and esophageal biopsies showed high sensitivity and specificity, in comparison with the detection in gastric biopsies, suggesting that both types of specimens may be used efficiently for a secure diagnosis of H. pylori infection.