Natural history of endometriosis in pregnancy: ultrasound study of morphology of deep endometriosis and ovarian endometrioma

Objective: To assess the morphological appearance of deep endometriosis and ovarian endometrioma in pregnancy using pelvic ultrasound examination. Methods: This was a prospective observational cohort study conducted over 3 years at University College London Hospital, which is a tertiary level referral unit for early pregnancy complications and an accredited endometriosis center. All women who participated provided written consent and were invited for surveillance ultrasound examination at the time of their routine scans in pregnancy. All scans were performed by a single operator to eliminate interobserver variability. The change in size of ovarian endometrioma and nodules was reported as change in their mean diameter. Ovarian endometrioma with irregular thick inner walls, hyperechoic papillary projections and/or high vascularity and hyperechoic nodules with moderate to high vascularity were reported as decidualized. Results: Sixty-five women with a live, normally sited pregnancy and concomitant ultrasound features of deep and/or ovarian endometriosis were included in the study. The median age of the study population was 34 (range, 23–44) years, and the median gestational age at presentation was 7 + 6 (range, 3 + 6 to 18 + 0) weeks. From the cohort, 47/65 (72%) were nulliparous, 48/65 (74%) had a previous diagnosis of endometriosis and 19/65 (29%) conceived via in-vitro fertilization. There were 10/65 (15% (95% CI, 7–24%)) women with ovarian endometrioma alone, 28/65 (43% (95% CI, 31–55%)) with endometriotic nodules alone and the remaining 27/65 (42% (95% CI, 30–54%)) had both. Of the women with ovarian endometrioma who underwent follow-up, 29/34 (85% (95% CI, 73–97%)) experienced cyst regression, 2/34 (6% (95% CI, 0–14%)) experienced cyst growth, and in 3/34 (9% (95% CI, 0.0–18%)) women, cyst size was unchanged. In 10/34 (29% (95% CI, 14–45%)), there was complete resolution of all cysts. Of the women with nodules who underwent follow-up, 43/51 (84% (95% CI, 74–94%)) experienced nodule regression, 2/51 (4% (95% CI, 0–9%)) experienced nodule growth and, in 6/51 (12% (95% CI, 3–21%)) women, nodule size was unchanged. In 4/51 (8% (95% CI, 0–15%)) women, there was complete resolution of all nodules. In 5/37 (14% (95% CI, 3–25%)) women who attended postnatal follow-up, complete resolution of all endometriotic lesions occurred during pregnancy. In 10/34 (29% (95% CI, 14–45%)) women with ovarian endometrioma and 27/51 (53% (95% CI, 39–67%)) women with nodules, a pattern of growth was observed in the first and second trimesters, followed by regression later in pregnancy. Features of decidualization were observed in 17/34 (50% (95% CI, 33–67%)) women with ovarian endometrioma, most commonly in the first trimester, and in 25/51 (49% (95% CI, 35–63%)) women with nodules, most commonly in the second trimester. Conclusions: For the majority of women, despite features of decidualization being common in the first and second trimesters, ovarian endometrioma and deep nodules regress during pregnancy. Morphological changes of endometriosis in pregnancy are difficult to differentiate from characteristics of malignant lesions. Better understanding of the appearance of endometriosis in pregnancy is vital to minimize intervention and help counsel women regarding their condition. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology

Análise tecnológica, nutricional e sensorial de macarrão elaborado com farinha de trigo adicionada de farinha de feijão-guandu.

Foram produzidos macarrões tipo "padre nosso "utilizando farinha de trigo complementada com farinha de feijão-guandu nas proporções de 5, 10 e 15%. Os macarrões obtidos nos ensaios foram submetidos à avaliação através das determinações de umidade, acidez, teste de cozimento e análise sensorial. Foram desenvolvidos ensaios biológicos com ratos albinos para a avaliação da qualidade protéica das misturas empregadas na formulação do macarrão. Os valores encontrados, para os diferentes macarrões, para a umidade e acidez podem ser considerados normais e dentro da faixa de aceitação. Os dados obtidos nos testes de cozimento indicam que os macarrões testados são de qualidade média baixa. A análise biológica revelou que a melhor suplementação de aminoácidos ocorreu com a mistura contendo 5% farinha de feijão-guandu

Big-data-driven modeling unveils country-wide drivers of endemic schistosomiasis

Schistosomiasis is a parasitic infection that is widespread in sub-Saharan Africa, where it represents a major health problem. We study the drivers of its geographical distribution in Senegal via a spatially explicit network model accounting for epidemiological dynamics driven by local socioeconomic and environmental conditions, and human mobility. The model is parameterized by tapping several available geodatabases and a large dataset of mobile phone traces. It reliably reproduces the observed spatial patterns of regional schistosomiasis prevalence throughout the country, provided that spatial heterogeneity and human mobility are suitably accounted for. Specifically, a fine-grained description of the socioeconomic and environmental heterogeneities involved in local disease transmission is crucial to capturing the spatial variability of disease prevalence, while the inclusion of human mobility significantly improves the explanatory power of the model. Concerning human movement, we find that moderate mobility may reduce disease prevalence, whereas either high or low mobility may result in increased prevalence of infection. The effects of control strategies based on exposure and contamination reduction via improved access to safe water or educational campaigns are also analyzed. To our knowledge, this represents the first application of an integrative schistosomiasis transmission model at a whole-country scale

Management of late-onset fetal growth restriction: pragmatic approach

OBJECTIVES: International guidelines recommend delivery from 37 weeks in small for gestational age (SGA) fetuses mostly because of stillbirth concerns. Differentiating SGA from late-onset fetal growth restriction (FGR) is challenged by the limited prospective evidence to guide management. We prospectively assessed a novel protocol that used ultrasound criteria to classify women with suspected late FGR into two groups: low-risk with expectant management until the expected date of delivery and high-risk with delivery soon after 37 weeks. Furthermore, we compared the outcome of this prospective cohort with a historical cohort of women similarly presenting with suspected late FGR, to evaluate the impact of implementation of the new protocol. METHODS: This was a prospective study in women with a singleton non-anomalous fetus at ≥32 weeks with any of the following inclusion criteria: estimated fetal weight (EFW) ≤10th centile, ≥50 centiles decrease of the abdominal circumference (AC) from previous scans, umbilical artery Doppler pulsatility index >95th centile or cerebroplacental ratio <5th centile. Women were stratified into low- or high-risk late FGR. Women in the low-risk group were delivered by 41 weeks unless meeting high-risk criteria for delivery later on, whereas women in the high-risk group (PAPP-A <0.4MoM, EFW <3rd centile, or EFW ≥3rd and ≤10th centile with AC drop or abnormal Dopplers) were delivered at 37 weeks. The primary outcome was adverse neonatal outcome including hypothermia, hypoglycemia, neonatal unit admission, jaundice requiring treatment, suspected infection, feeding difficulties, Apgar score <7 at 1 minute, hospital readmission and any of the severe adverse neonatal outcome (perinatal death, resuscitation using inotropes or mechanical ventilation, Apgar score <7 at 5 minutes, metabolic acidosis, sepsis, cerebral, cardiac or respiratory morbidity). Secondary outcomes were adverse maternal outcome (operative delivery for abnormal fetal heart rate) and severe adverse neonatal outcome. Women managed according with the new protocol were compared with a historical cohort where management was guided by individual clinician's expertise. RESULTS: Over 18 months (2018-2019), 321 women were included. Adverse neonatal outcome was significantly less common in low- (n=156) compared with high-risk fetus (n=165): 45 vs 57%; aOR, 0.6; 95% CI, 0.4-0.9; P=0.022. There was no significant difference in adverse maternal outcome (18% vs 24%; aOR, 0.7; 95% CI, 0.4-1.2; P=0.142) and severe adverse neonatal outcome (3.8% vs 8.5%; aOR: 0.5; 95% CI, 0.2-1.3; P=0.153) between low and high-risk group. Compared to women delivered prior to the implementation of the new protocol and classified retrospectively into low- and high-risk late FGR (n=323), there was a lower adverse neonatal outcome (45% vs 58%; aOR, 0.6; 95% CI, 0.4-0.9; P=0.026) in the low-risk late FGR clinic group. CONCLUSIONS: Appropriate risk classification to define management in low- and high-risk FGR groups was associated with reduced adverse neonatal outcome in the low-risk group. In clinical practice a policy of expectantly managing women with late-onset low-risk FGR pregnancies at term could improve neonatal and long-term development. Randomized controlled trials are needed to assess the effect of an evidence based conservative management protocol of late FGR on perinatal morbidity, mortality and long-term neurodevelopment

Integration of satellite remote sensing data in ecosystem modelling at local scales: Practices and trends

1. Spatiotemporal ecological modelling of terrestrial ecosystems relies on climatological and biophysical Earth observations. Due to their increasing availability, global coverage, frequent acquisition and high spatial resolution, satellite remote sensing (SRS) products are frequently integrated to in situ data in the development of ecosystem models (EMs) quantifying the interaction among the vegetation component and the hydrological, energy and nutrient cycles. This review highlights the main advances achieved in the last decade in combining SRS data with EMs, with particular attention to the challenges modellers face for applications at local scales (e.g. small watersheds). 2. We critically review the literature on progress made towards integration of SRS data into terrestrial EMs: (1) as input to define model drivers; (2) as reference to validate model results; and (3) as a tool to sequentially update the state variables, and to quantify and reduce model uncertainty. 3. The number of applications provided in the literature shows that EMs may profit greatly from the inclusion of spatial parameters and forcings provided by vegetation and climatic‐related SRS products. Limiting factors for the application of such models to local scales are: (1) mismatch between the resolution of SRS products and model grid; (2) unavailability of specific products in free and public online repositories; (3) temporal gaps in SRS data; and (4) quantification of model and measurement uncertainties. This review provides examples of possible solutions adopted in recent literature, with particular reference to the spatiotemporal scales of analysis and data accuracy. We propose that analysis methods such as stochastic downscaling techniques and multi‐sensor/multi‐platform fusion approaches are necessary to improve the quality of SRS data for local applications. Moreover, we suggest coupling models with data assimilation techniques to improve their forecast abilities. 4. This review encourages the use of SRS data in EMs for local applications, and underlines the necessity for a closer collaboration among EM developers and remote sensing scientists. With more upcoming satellite missions, especially the Sentinel platforms, concerted efforts to further integrate SRS into modelling are in great demand and these types of applications will certainly proliferate

Seasonality of Influenza A(H3N2) Virus: A Hong Kong Perspective (1997–2006)

BACKGROUND: The underlying basis for the seasonality of influenza A viruses is still uncertain. Phylogenetic studies investigated this phenomenon but have lacked sequences from more subtropical and tropical regions, particularly from Southeast Asia. METHODOLOGY/PRINCIPAL FINDINGS: 281 complete hemagglutinin (HA) and neuraminidase (NA) sequences were obtained from influenza A(H3N2) viruses, collected over 10 years (1997-2006) from Hong Kong. These dated sequences were analyzed with influenza A(H3N2) vaccine strain sequences (Syd/5/97, Mos/10/99, Fuj/411/02, Cal/7/04) and 315 other publicly available dated sequences from elsewhere, worldwide. In addition, the NA sequence alignment was inspected for the presence of any naturally occurring, known, neuraminidase inhibitor (NAI) resistance-associated amino acid mutations (R292K and E119V). Before 2001, the Hong Kong HA and NA sequences clustered more closely with the older vaccine sequences (Syd/5/97, Mos/10/99) than did sequences from elsewhere. After 2001, this trend reversed with significant clusters containing HA and NA sequences from different locations, isolated at different times, suggesting that viral migration may account for much of the influenza A(H3N2) seasonality during this 10-year period. However, at least one example from Hong Kong was found suggesting that in some years, influenza A(H3N2) viruses may persist in the same location, perhaps continuing to circulate, sub-clinically, at low levels between seasons, to re-emerge in the influenza season the following year, relatively unchanged. None of these Hong Kong influenza A(H3N2) NA sequences contained any of the known NAI-resistance associated mutations. CONCLUSIONS/SIGNIFICANCE: The seasonality of influenza A(H3N2) may be largely due to global migration, with similar viruses appearing in different countries at different times. However, occasionally, some viruses may remain within a single location and continue to circulate within that population, to re-emerge during the next influenza season, with relatively little genetic change. Naturally occurring NAI resistance mutations were absent or, at least, very rare in this population

A Theoretical Analysis of the Geography of Schistosomiasis in Burkina Faso Highlights the Roles of Human Mobility and Water Resources Development in Disease Transmission

We study the geography of schistosomiasis across Burkina Faso by means of a spatially explicit model of water-based disease dynamics. The model quantitatively addresses the geographic stratification of disease burden in a novel framework by explicitly accounting for drivers and controls of the disease, including spatial information on the distributions of population and infrastructure, jointly with a general description of human mobility and climatic/ecological drivers. Spatial patterns of disease are analysed by the extraction and the mapping of suitable eigenvectors of the Jacobian matrix subsuming the stability of the disease-free equilibrium. The relevance of the work lies in the novel mapping of disease burden, a byproduct of the parametrization induced by regional upscaling, by model-guided field validations and in the predictive scenarios allowed by exploiting the range of possible parameters and processes. Human mobility is found to be a primary control at regional scales both for pathogen invasion success and the overall distribution of disease burden. The effects of water resources development highlighted by systematic reviews are accounted for by the average distances of human settlements from water bodies that are habitats for the parasite's intermediate host. Our results confirm the empirical findings about the role of water resources development on disease spread into regions previously nearly disease-free also by inspection of empirical prevalence patterns. We conclude that while the model still needs refinements based on field and epidemiological evidence, the proposed framework provides a powerful tool for large-scale public health planning and schistosomiasis management