IVF Errors - Is This Only the Tip of the Iceberg?

ART errors are fortunately a rare occurrence. but humans are fallible and mistakes are inevitable. As social media sensationalizes these events, we, as infertility specialists, must be vigilant in reviewing existing risk management systems and consider other options to minimize/eliminate these events. ART programs should work to emphasize honesty and transparency to improve quality of care

Using the EngagedMD Multimedia Platform to Improve Informed Consent for Ovulation Induction, Intrauterine Insemination, and In Vitro Fertilization

Objective: To study patient and provider feedback on how a multimedia platform (EngagedMD) helps patients to understand the risks and consequences of in vitro fertilization (IVF), ovulation induction (OI), and intrauterine insemination (IUI) treatments and the impact of the informed consent process. Design: Prospective survey study. Setting: IVF units in the United States. Patient(s): Six-thousand three-hundred and thirty-three patients who viewed the multimedia platform before IVF or OI-IUI treatment at 13 U.S. IVF centers and 128 providers. Intervention(s): Quantitative survey with 17 questions. Main Outcome Measure(s): Assessment of the impact of a multimedia platform on patient anxiety, comprehension, and satisfaction and provider/nurse feedback related to the informed consent process. Result(s): The survey was completed by 3,097 respondents (66% IVF treatment; 34% OI-IUI treatment) and 44 providers. Overall, 93% felt the media platform was intuitive, and 90% and 95% felt it had appropriate duration and detail, respectively. Most agreed/strongly agreed it better prepared them to consent (88%), increased their comfort in pursuing treatment (77%) and increased their satisfaction with their care (83%). Compared with the OI-IUI group, statistically significantly more participants who viewed the IVF media platform strongly agreed that the comprehension questions reinforced key concepts (47% vs. 40%), educated them about treatment risks (55% vs. 44%), helped them ask providers informed questions (45% vs. 36%), and better prepared them to sign consent forms (46% vs. 37%). Overall, 63% of providers felt that the media platform improved patient learning, made patients more accountable, and standardized information dissemination. Conclusion(s): The EngagedMD media platform improves patient knowledge, satisfaction, and control over medical decision making and better prepares patients to give informed consent. Furthermore, it is well-liked by providers and is easily implemented

Global prevalence of Trichinella in pigs: A systematic review and meta-analysis

Background: Investigating the global epidemiological patterns of Trichinella in pigs is required for accurate recognition and to establishing proper control programmes and preventivemeasures, as well as to decrease human exposure. Objectives: To obtain a better understanding of the global prevalence of Trichinella in domestic pigs and factors that might influence the prevalence, a systematic review and meta-analysis was performed. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed. Multiple databases were used to identify literature published between January 2000 and December 2021, representing studies from 1985 to 2021, on Trichinella prevalence in domestic pigs. Prevalence was calculated on a global and country level, by country Human Development Index (HDI), climate, pig management system, and diagnostic test. Results: The global pooled prevalence based on 60manuscripts representing 32 countries and 65 pig populations was 2.02% (95% confidence interval [CI]: 0.88–3.62) and the estimated pooled prevalence in different continents ranged from 0.00% to 11.8%. Trichinella was highest in low HDI countries (21.6%; 95% CI: 4.3–47.2), tropical wet climates (20.9%; 95% CI: 10.3–34.1), and non-intensive pig farming systems (6.1%; 95% CI: 1.0–15.5). Conclusions: While there were regional differences in Trichinella prevalence in domestic pigs, these were likely driven by country HDI and pig farming systems versus climatic factors. Increased biosecurity in outdoor pig production systems, focused meat inspections and promoting awareness could potentially decrease risk of infectio

A Novel Biclustering Approach to Association Rule Mining for Predicting HIV-1–Human Protein Interactions

Identification of potential viral-host protein interactions is a vital and useful approach towards development of new drugs targeting those interactions. In recent days, computational tools are being utilized for predicting viral-host interactions. Recently a database containing records of experimentally validated interactions between a set of HIV-1 proteins and a set of human proteins has been published. The problem of predicting new interactions based on this database is usually posed as a classification problem. However, posing the problem as a classification one suffers from the lack of biologically validated negative interactions. Therefore it will be beneficial to use the existing database for predicting new viral-host interactions without the need of negative samples. Motivated by this, in this article, the HIV-1–human protein interaction database has been analyzed using association rule mining. The main objective is to identify a set of association rules both among the HIV-1 proteins and among the human proteins, and use these rules for predicting new interactions. In this regard, a novel association rule mining technique based on biclustering has been proposed for discovering frequent closed itemsets followed by the association rules from the adjacency matrix of the HIV-1–human interaction network. Novel HIV-1–human interactions have been predicted based on the discovered association rules and tested for biological significance. For validation of the predicted new interactions, gene ontology-based and pathway-based studies have been performed. These studies show that the human proteins which are predicted to interact with a particular viral protein share many common biological activities. Moreover, literature survey has been used for validation purpose to identify some predicted interactions that are already validated experimentally but not present in the database. Comparison with other prediction methods is also discussed

Construction of gene regulatory networks using biclustering and bayesian networks

<p>Abstract</p> <p>Background</p> <p>Understanding gene interactions in complex living systems can be seen as the ultimate goal of the systems biology revolution. Hence, to elucidate disease ontology fully and to reduce the cost of drug development, gene regulatory networks (GRNs) have to be constructed. During the last decade, many GRN inference algorithms based on genome-wide data have been developed to unravel the complexity of gene regulation. Time series transcriptomic data measured by genome-wide DNA microarrays are traditionally used for GRN modelling. One of the major problems with microarrays is that a dataset consists of relatively few time points with respect to the large number of genes. Dimensionality is one of the interesting problems in GRN modelling.</p> <p>Results</p> <p>In this paper, we develop a biclustering function enrichment analysis toolbox (BicAT-plus) to study the effect of biclustering in reducing data dimensions. The network generated from our system was validated via available interaction databases and was compared with previous methods. The results revealed the performance of our proposed method.</p> <p>Conclusions</p> <p>Because of the sparse nature of GRNs, the results of biclustering techniques differ significantly from those of previous methods.</p

The bed nucleus of stria terminalis and the amygdala as targets of antenatal glucocorticoids: implications for fear and anxiety responses

Rationale: Several human and experimental studies have shown that early life adverse events can shape physical and mental health in adulthood. Stress or elevated levels of glucocorticoids (GCs) during critical periods of development seem to contribute for the appearance of neurospyschiatric conditions such as anxiety and depression, albeit the underlying mechanisms remain to be fully elucidated. Objectives: The aim of the present study was to determine the long-term effect of prenatal erxposure to dexamethasone- DEX (synthetic GC widely used in clinics) in fear and anxious behavior and identify the neurochemical, morphological and molecular correlates. Results: Prenatal exposure to DEX triggers a hyperanxious phenotype and altered fear behavior in adulthood. These behavioral traits were correlated with increased volume of the bed nucleus of the stria terminalis (BNST), particularly the anteromedial subivision which presented increased dendritic length; in parallel, we found an increased expression of synapsin and NCAM in the BNST of these animals. Remarkably, DEX effects were opposite in the amygdala, as this region presented reduced volume due to significant dendritic atrophy. Albeit no differences were found in dopamine and its metabolite levels in the BNST, this neurotransmitter was substantially reduced in the amygdala, which also presented an up-regulation of dopamine receptor 2. Conclusions: Altogether our results show that in utero DEX exposure can modulate anxiety and fear behavior in parallel with significant morphological, neurochemical and molecular changes; importantly, GCs seem to differentially affect distinct brain regions involved in this type of behaviors.This study was supported by a grant from the Institute for the Study of Affective Neuroscience (ISAN). AJR is supported by a Fundação para a Ciência e Tecnologia (FCT) grant