Massive fetomaternal hemorrhage: A case report.

We present a case with an incidental finding of abnormal cardiotocography (CTG) pattern as well as elevated middle cerebral artery peak systolic velocity (MCA-PSV) in an otherwise inconspicuous pregnancy. Massive fetomaternal hemorrhage (FMH) was detected as the cause by flow cytometry (FC), resulting in multiple cycles of fetal blood sampling (FBS) showing severe anemia, intrauterine transfusions (IUTs), a preterm delivery, and a healthy infant in follow-up examinations.

Diagnosis of Chlamydia trachomatis genital infections in the era of genomic medicine.

PURPOSE: Chlamydial genital infections constitute significant sexually transmitted infections worldwide. The often asymptomatic status of C. trachomatis (CT) infections leads to an increased burden on human reproductive health, especially in middle- and low-income settings. Early detection and management of these infections could play a decisive role in controlling this public health burden. The objective of this review is to provide an insight into the evolution of diagnostic methods for CT infections through the development of new molecular technologies, emphasizing on -omics' technologies and their significance as diagnostic tools both for effective patient management and control of disease transmission. METHODS: Narrative review of the diagnostic methodologies of CT infections and the impact of the introduction of -omics' technologies on their diagnosis by review of the literature. RESULTS: Various methodologies are discussed with respect to working principles, required specifications, advantages, and disadvantages. Implementing the most accurate methods in diagnosis is highlighted as the cornerstone in managing CT infections. CONCLUSION: Diagnostics based on -omics' technologies are considered to be the most pertinent modalities in CT testing when compared to other available methods. There is a need to modify these effective and accurate diagnostic tools in order to render them more available and feasible in all settings, especially aiming on turning them to rapid point-of-care tests for effective patient management and disease control.

Alterations of the Short-Term Variation of the Fetal Heart Rate after Antenatal Maternal Betamethasone Administration: Validation with Two Different Computational Algorithms.

INTRODUCTION: Antenatal betamethasone administration in the context of foetal lung maturity enhancement has a transient impact on the short-term variation (STV) of the foetal heart rate. There are currently various algorithms for computing the STV, each one resulting in different STV values. We studied the results of betamethasone administration on the STV using 2 different algorithms in order to investigate whether the effects of steroids on the STV depend on the algorithm used or not. MATERIALS AND METHODS: In the context of a larger, single-centre, prospective, observational study, we gathered CTG traces under and without the influence of steroids in order to study their effect on the STV using 2 different computational algorithms (STV240 and STV16). RESULTS: A total of 285 CTGs were registered and subsequently analysed with both algorithms. When compared to the STV240 and STV16 without or at least 72 h after the first intramuscular corticosteroid administration, a transient increase of both the STV240 and STV16 was documented in the first 24 h, followed by a transient decrease of both the STV240 and STV16 between 24 h and 72 h after the first intramuscular corticosteroid injection. CONCLUSION: Our results confirmed that betamethasone administration has a transient but significant effect on the STV independently of the algorithm used. These observations stress once again the fact that a decreased STV within the first 72 h after maternal bethametasone administration should not be an indication for early delivery.

Use of Free/Libre Open Source Software in Sepsis "-Omics" Research: A Bibliometric, Comparative Analysis Among the United States, EU-28 Member States, and China.

"-Omics" systems sciences are at the epicenter of personalized medicine and public health, and drivers of knowledge-based biotechnology innovation. Bioinformatics, a core component of omics research, is one of the disciplines that first employed Free/Libre Open Source Software (FLOSS), and thus provided a fertile ground for its further development. Understanding the use and characteristics of FLOSS deployed in the omics field is valuable for future innovation strategies, policy and funding priorities. We conducted a bibliometric, longitudinal study of the use of FLOSS in sepsis omics research from 2011 to 2015 in the United States, EU-28 and China. Because sepsis is an interdisciplinary field at the intersection of multiple omics technologies and medical specialties, it was chosen as a model innovation ecosystem for this empirical analysis, which used publicly available data. Despite development of and competition from proprietary commercial software, scholars in omics continue to employ FLOSS routinely, and independent of the type of omics technology they work with. The number of articles using FLOSS increased significantly over time in the EU-28, as opposed to the United States and China (R = 0.96, p = 0.004). Furthermore, in an era where sharing of knowledge is being strongly advocated and promoted by public agencies and social institutions, we discuss possible correlations between the use of FLOSS and various funding sources in omics research. These observations and analyses provide new insights into the use of FLOSS in sepsis omics research across three (supra)national regions. Further benchmarking studies are warranted for FLOSS trends in other omics fields and geographical settings. These could, in time, lead to the development of new composite innovation and technology use metrics in omics systems sciences and bioinformatics communities.

Multi-Omics Research Trends in Sepsis: A Bibliometric, Comparative Analysis Between the United States, the European Union 28 Member States, and China.

"-Omics" research is in transition with the recent rise of multi-omics technology platforms. Integration of "-omics" and multi-omics research is of high priority in sepsis, a heterogeneous syndrome that is widely recognized as a global health burden and a priority biomedical funding field. We report here an original study on bibliometric trends in the use of "-omics" technologies, and multi-omics approaches in particular, in sepsis research in three (supra)national settings, the United States, the European Union 28 Member States (EU-28), and China. Using a 5-year longitudinal bibliometric study design from 2011 to 2015, we analyzed the sepsis-related research articles in English language that included at least one or multi-omics technologies in publicly available form in Medline (free full texts). We found that the United States has had the lead (almost one-third of publications) in the inclusion of an "-omics" or multi-omics technology in sepsis within the study period. However, both China and the EU-28 displayed a significant increase in the number of publications that employed one or more types of "-omics" research (p < 0.005), while the EU-28 displayed a significant increase especially in multi-omics research articles in sepsis (p < 0.05). Notably, more than half of the multi-omics research studies in the sepsis knowledge domain had a university or government/state funding source. Among the multi-omics research publications in sepsis, the combination of genomics and transcriptomics was the most frequent (40.5%), followed by genomics and proteomics (20.4%). We suggest that the lead of the United States in the field of "-omics" and multi-omics research in sepsis is likely at stake, with both the EU-28 and China rapidly increasing their research capacity. Moreover, "triple omics" that combine genomics, proteomics, and metabolomics analyses appear to be uncommon in sepsis, and yet much needed for triangulation of systems science data. These observations have implications for "-omics" technology policy and global research funding strategic foresight.

Validation of a new algorithm for the short-term variation of the fetal heart rate: an antepartum prospective study.

AIMS: Currently one of the most widespread systems for the computerized analysis of the fetal heart rate (FHR) is the Dawes-Redman system, where the short-term variation (STV) of the FHR is measured by dividing each minute into 16 segments (STV16). Technical progress has allowed for the development of a new algorithm, which measures the STV by dividing each minute into 240 segments (STV240), thus approximating the beat-to-beat variation. The STV240 still lacks reference values. Our aim was to develop clinically relevant reference values for the STV240 and compare them to the ones for the STV16. METHODS: In a single centre, observational study, a total of 228 cardiotocograms were registered and subsequently analyzed with both algorithms (STV240 and STV16). RESULTS: The 95% confidence interval (CI) was calculated for both algorithms. The values of the STV240 were significantly lower in comparison to the ones of the STV16. Not only the mean values but also the 95th percentile of the STV240 lay beneath the existent cut-off value for the STV16. CONCLUSIONS: Every clinician using the new algorithm must be aware that the normal values for the STV240 lie beneath the, up until now, established cut-off values for the STV16.

Cardiotocography and the evolution into computerised cardiotocography in the management of intrauterine growth restriction.

Timely recognition and appropriate management of high-risk pregnancies, such as intrauterine growth restriction (IUGR), are of paramount importance for every obstetrician. After the initial screening of IUGR fetuses through sonographic fetometry and Doppler, the focus is shifted to the appropriate monitoring and timing of delivery. This can, especially in cases of early IUGR, become a very difficult task. At this point, cardiotocography (CTG) is introduced as a major tool in the day-to-day monitoring of the antenatal well-being of the IUGR fetus. Since the first introduction of CTG up to the nowadays widely spreading implementation of computerised CTG in the clinical practice, there has been great progress in the recording of the fetal heart rate, as well as its interpretation. Focus of this review is to offer an understanding of the evolution of CTG from its early development to modern computerised methods and to provide an insight as to where the future of CTG is leading, especially in the monitoring of IUGR.

The role of genes in the polycystic ovary syndrome: predisposition and mechanisms.

The polycystic ovary syndrome (PCOS), mainly characterized by clinical and/or biochemical hyperandrogenism, ovarian dysfunction and/or polycystic morphology as well as associated metabolic disorders, is the most common endocrine disorder in women of reproductive age. The familial clustering of PCOS cases and the accumulating evidence that the interaction between multiple genetic and environmental factors is necessary for the development of the syndrome, has triggered the conduct of genetic studies on PCOS. These studies have focused on many genetic polymorphisms, investigating their possible positive or negative correlation with the syndrome. The related genes can be grouped in four categories: those related with insulin resistance, those that interfere with the biosynthesis and the action of androgens, those that encode inflammatory cytokines and other candidate genes. Despite the progress that has been made in the elucidation of the genetic mechanisms of the PCOS, the genetic studies on the syndrome still face many obstacles and challenges. Further studies are needed, in order to shed new light in the pathogenesis of the syndrome, which will allow for new approaches in the diagnostics and therapeutics of PCOS.