Placental abruption and the risk of necrotizing enterocolitis in neonates with birth weight ≥1500 grams; US national database study.

BACKGROUND: The pathogenesis of necrotizing enterocolitis (NEC) is multifactorial, placental abruption is associated with serious neonatal complications attributed to disruption of the maternal-fetal vascular interface. This study aimed to investigate the association between placental abruption and NEC. METHODS: We analyzed the United States (US) National Inpatient Sample (NIS) dataset for the years 2016-2018. Using the logistic regression model, the adjusted odds ratios (aOR) were calculated to assess the risk of NEC in infants born to mothers with placental abruption after controlling for significant confounders. Analyses were repeated after stratifying the population into two birth weight (BW) categories: <1500 g and ≥1500 g. RESULTS: The study included 11,597,756 newborns. Placental abruption occurred in 0.16% of the population. NEC was diagnosed in 0.18% of infants, with a higher incidence (2.5%) in those born to mothers with placental abruption (aOR = 1.2, 95% CI: 1.1-1.3, p < 0.001). Placental abruption was associated with NEC only in infants with BW ≥ 1500 g (aOR = 1.34, 95% CI: 1.11-1.62, p 0.003). CONCLUSION: Placental abruption is associated with an increased risk of NEC in neonates with BW ≥ 1500 g. Research is needed to explore the mechanisms behind this association and to develop targeted interventions to mitigate NEC risks in this population. IMPACT: Placental abruption is associated with an increased risk of developing necrotizing enterocolitis (NEC) in neonates with a birth weight ≥1500 grams. This effect could be via direct in utero bowel injury or due to indirect postnatal compromise that occurs in these infants. This is the first study to specifically address the association between placental abruption and NEC in neonates ≥1500 g. The study used a national dataset that included all neonates delivered in the US, thereby allowing for the generalization of the findings after adjustment for multiple confounding factors. This study lays the groundwork for subsequent studies aimed at modifying feeding strategies and other neonatal management for the prevention of NEC in infants delivered after placental abruption.

Comparison of Oncological and Aesthetic Outcomes between Tissue Rearrangement Technique and Pedicled Latissimus Dorsi Flap Reconstruction in Cases of Upper Outer Quadrant Breast Cancer.

Background: Emerging as an adjunct to breast-conserving surgery, oncoplastic breast surgery seeks to improve the cosmetic and functional outcomes for breast cancer surgery. The objective was to assess the potential advantages of using the latissimus dorsi (LD) flap, in comparison with local tissue rearrangement, in terms of aesthetic results and postoperative problems. Methods: This study compared the outcomes of patients with a malignant tumor removed from the upper outer quadrant of the breast using a comparative nonrandomized control approach. Participants were split into two groups: reconstruction using local tissue rearrangement was performed on 20 patients (group A), and a pedicled LD flap was used to treat the same number of patients (group B). All patients were examined in the clinics' outpatient setting. Every 3 months, the medical oncology team would do a thorough clinical assessment. Results: Better aesthetic outcomes were significantly higher among patients with an LD flap. The LD flap was able to maintain breast shape in 90%, breast volume in 85%, and the nipple-areola complex direction in 90% of patients. Surgeons' evaluation of both techniques reported significantly higher satisfaction for LD flap than local tissue replacement. Patient satisfaction was significantly higher among patients with an LD flap. With regard to the postoperative complications, there were no significant differences between either group. Conclusions: Oncoplastic breast surgery with reconstruction using the pedicled LD flap provides maintenance of the shape of female breasts with better aesthetic outcomes and patient and surgeon satisfaction than reconstruction using local tissue rearrangement, with a comparable complication rate.

Maternal chorioamnionitis and the risk for necrotizing enterocolitis in the United States: A national cohort study.

BACKGROUND: Necrotizing enterocolitis (NEC) is a major cause for morbidity and mortality among newborn infants. Chorioamnionitis is a perinatal complication that is associated with preterm delivery. Few reports have studied chorioamnionitis as a possible risk factor for NEC. Further investigation is needed to fully understand this association. OBJECTIVE: To examine the association of chorioamnionitis with NEC in newborn infants. METHODS: We used National Inpatient Sample (NIS) datasets produced by the federal Healthcare Cost and Utilization Project (HCUP). We identified infants born to mothers diagnosed with chorioamnionitis and infants born to mothers who did not have chorioamnionitis. The odds ratios (OR) to develop NEC in infants born to mothers affected by chorioamnionitis were calculated using chi square and Fisher Exact tests in the overall sample and in subgroups of different birthweight (BW) categories. The association was re-evaluated using logistic regression models to control for confounding variables. RESULTS: The study identified 18,973,800 newborn infants admitted during the years 2016-2020. Among infants born to mothers with chorioamnionitis, NEC occurred in 0.9 % compared to 0.1 % in infants born to mothers without chorioamnionitis, (adjusted OR = 1.12, CI:1.02-1.15, p = 0.01). The prevalence of NEC in infants born to mothers with chorioamnionitis varied by the birth weight category, mainly for BW category 2500-4499 g (aOR = 1.61, CI:1.44-1.80, p < 0.001). CONCLUSION: Maternal chorioamnionitis is associated with increased incidence of NEC, particularly in the BW category 2500-4499 g. Further studies are needed to examine the pathophysiological factors underlying this association.

Separating Cationic and Anionic Redox Activity in the Lithium-Rich Antiperovskite (Li2Fe)SO.

Lithium-rich antiperovskites promise to be a compelling class of high-capacity cathode materials due to the existence of both cationic and anionic redox activity. Little is however known about the effect of separating the electrochemical cationic process from the anionic process and the associated implications on the electrochemical performance. In this context, we report the electrochemical properties of the illustrative example of three different (Li2Fe)SO materials with a focus on separating cationic from anionic effects. With the high-voltage anionic process, an astonishing electrochemical capacity of around 400 mAh g-1 can initially be reached. Our results however identify the anionic process as the cause of poor cycling stability and demonstrate that the fading reported in previous literature is avoided by restricting to only the cationic processes. Following this path, our (Li2Fe)SO-BM500 shows strongly improved performance as indicated by constant electrochemical cycling over 100 cycles at a capacity of around 175 mAh g-1 at 1 C. Our approach also allows us to investigate the electrochemical performance of the bare antiperovskite phase excluding extrinsic activity from initial or cycling-induced impurity phases. Our results underscore that synthesis conditions are a critical determinant of electrochemical performance in lithium-rich antiperovskites, especially with regard to the amount of electrochemical secondary phases, while the particle size has not been found to be a crucial parameter. Overall, separating and understanding the effects of the cationic from the anionic redox activity in lithium-rich antiperovskites provides the route to further improve their performance in electrochemical energy storage.

Fetuin-A: a relevant novel serum biomarker for non-invasive diagnosis of metabolic dysfunction-associated steatotic liver disease (MASLD): a retrospective case-control study.

OBJECTIVES: To determine how fetuin-A contributes to diagnosing and assessing MASLD severity. METHODS: Fifty MASLD patients and fifty healthy control participants were involved in this retrospective case-control research. Abdominal ultrasonography, fibroscan with controlled attenuated parameter scan (CAP scan), laboratory investigation (including fetuin-A assessment), clinical examination, and history-taking were performed on every case. RESULTS: Fetuin-A level was considerably higher in the Cases group (1154.85 ± 629.89) than in the Control group (505.29 ± 150.4) (p < 0.001). Fetuin-A had significant validity in the prediction of MASLD at a cut-off > 702.5 with 82% sensitivity, 90% specificity, and 86% overall accuracy. CONCLUSION: One possible marker for MASLD diagnosis could be fetuin-A. Furthermore, a substantial association between such marker and the severity of the disease as it revealed a significant correlation with ultrasound grading and fibroscan with controlled attenuated parameters. Trial registration 1- Pan African Clinical Trial Registry. Unique Identifying number/registration ID: PACTR202309644280965. URL: https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=26860 . Registration Approval date: 21/09/2023. 2- ClinicalTrials.gov. Unique Identifying number /registration ID: NCT06097039. URL: https://clinicaltrials.gov/study/NCT06097039?cond=NCT06097039&rank=1 . Registration Approval date: 25/10/2023.

Prevalence and Outcomes of Gastrointestinal Anomalies in Down Syndrome.

OBJECTIVES: Our objective was to investigate the prevalence of small intestinal atresia and Hirschsprung's disease (HD) in infants with Down syndrome (DS) and its impact on outcomes. STUDY DESIGN: We analyzed the National Inpatient Sample dataset. We included infants with DS, small intestinal atresia, HD, and the concomitant occurrence of both conditions. Regression analysis was used to control clinical and demographic variables. RESULTS: A total of 66,213,034 infants were included, of whom, 99,861 (0.15%) had DS. The concomitant occurrence of small intestinal atresia and HD was more frequent in infants with DS compared with the general population, adjusted odds ratio (aOR): 122, 95% confidence interval (CI): 96-154, (p < 0.001). Infants with DS and concomitant small intestinal atresia and HD had higher mortality compared with those without these conditions, aOR: 8.59, 95% CI: 1.95-37.8. CONCLUSION: Infants with DS are at increased risk of concomitant small intestinal atresia and HD, and this condition is associated with increased mortality. KEY POINTS: · Infants with Down syndrome are at increased risk of congenital GI anomalies.. · Infants with Down syndrome are at increased risk of necrotizing enterocolitis.. · Increased mortality in Down syndrome infants with concomitant small intestinal atresia and Hirschsprung's disease..

Placental abruption and risk for intraventricular hemorrhage in very low birth weight infants: the United States national inpatient database.

OBJECTIVE: To examine the association of placental abruption with intraventricular hemorrhage (IVH) in very low birth weight (VLBW) infants. METHODS: We examined the National Inpatient Sample (NIS) datasets. Preterm infants <1500 g birth weight (BW) were included. The odds ratios (OR) of developing IVH and severe IVH in association with placental abruption were calculated. Adjusted OR (aOR) were calculated using logistic regression models. RESULTS: The study included 113,445 VLBW infants. IVH occurred in 18.7% in the infants who were born to mothers with history of placental abruption versus 14.7% in infants without placental abruption, aOR 1.25 (95%CI: 1.13-1.38), p < 0.001. Severe IVH occurred in 6.4% in infants born to mothers with history of placental abruption versus 4.0% in those without placental abruption, aOR 1.53 (95%CI: 1.30-1.78), p < 0.001. CONCLUSION: Placental abruption is associated with increased prevalence of IVH and severe IVH in VLBW infants.

Caucasian and African American racial disparity in neonatal hospital mortality.

Objective: To examine disparity in hospital mortality among Caucasian (C) and African American (AA) neonates born at different gestational ages (GA). Methods: De-identified national inpatient data were obtained from the Healthcare Cost and Utilization Project (HCUP) from the Agency for Healthcare Research and Quality (AHRQ) for the years 2011-2018. We compared the odds ratio for mortality among C and AA infants by sex and GA category. Analyses were repeated after controlling for multiple maternal and neonatal confounding variables in a logistic regression model. Results: The study included 18,758,233 infants; 78.3% of them were C and 21.7% were AA. Compared to C population, AA population has a significantly higher mortality in term infants born at GA ≥ 36 weeks. The racial/ethnic disparity in preterm infants was inconsistent without any difference at 35-36 weeks in male and female infants. The overall aOR for mortality in AA in all male preterm infants ≤36 weeks was 1.44 (1.39-1.49), <0.01; and the overall aOR for mortality in AA in all preterm female infants ≤36 weeks was 1.38 (1.33-1.44). Conclusion: Racial/Ethnic disparity in hospital mortality exists with higher AA mortality in infants born with GA > 36 weeks and less AA mortality in infants born with GA 24-26 weeks.

Hospital Factors Associated with the Survival of Infants Born at Periviable Gestation: The USA National Database.

Background: Reports on the survival of infants born at periviable gestation (GA of ≤24 weeks and birth weight of <500 gm) vary significantly. We aimed to determine hospital factors associated with their survival and to assess the trend for the timing of postnatal mortality in these periviable infants. Methods: We utilized the de-identified National Inpatient Sample (NIS) dataset of the Healthcare Cost and Utilization Project (HCUP) from the Agency for Healthcare Research and Quality (AHRQ). National data were analyzed for the years 2010-2018. Hospitals were categorized according to delivery volume, USA regions, and teaching status. Results: We identified 33,998,014 infants born during the study period; 76,231 infants were ≤24 weeks. Survival at birth and first 2 days of life was greatest in urban teaching hospitals in infants <24 weeks and those who completed 24 weeks, respectively. The Northeast region has the lowest survival rate. There was a significant delay in the postnatal day of mortality in periviable infants. Conclusions: Hospital factors are associated with increased survival rates. Improved survival in large teaching hospitals supports the need for the regionalization of care in infants born at the limits of viability. There was a significant delay in the postnatal mortality day.

A robust classification of acute lymphocytic leukemia-based microscopic images with supervised Hilbert-Huang transform.

Acute lymphocytic leukemia (ALL) is a malignant condition characterized by the development of blast cells in the bone marrow and their quick dissemination into the bloodstream. It primarily affects children and individuals over the age of 60. Manual blood testing, which has been around for a long time, may be slow. The likelihood of recognizing ALL in its early stages was increased by automating the diagnosis. This research developed an improved criterion for classifying ALL microscopic images into two categories: normal images and blast images. First, to save processing time, innovative image preprocessing techniques were employed to gather data for data augmentation, enhancement, and conversion. The K-means clustering technique was also utilized to effectively segment the relevant nuclei from the background. Furthermore, the most salient features were extracted using an empirical mode decomposition (EMD) based on the Hilbert-Huang transform. MATLAB functions such as principal component analysis, gray level co-occurrence matrix, local binary pattern, shape features, discrete cosine transform, discrete Fourier transform, discrete wavelet transform, and independent component analysis have been used and compared with EMD. The Bayesian regularization (BR) method has been implemented in the neural networks (NNs) classifier. Along with NNs, other classifiers such as support vector machine, K-nearest neighbors, random forest, naive Bayes, logistic regression, and decision tree have been used, evaluated, and contrasted with NNs. According to experimental findings, the ALL-IDB2 (Image Database 2) dataset's NNs-based-EMD model classified objects with an accuracy of 98.7%, sensitivity of 99.3%, and specificity of 98.1%. RESEARCH HIGHLIGHTS: Implement a robust method for classifying normal and blast ALL images in the state of the art using the combination of the BR algorithm and the neural networks classifier. Perform robust data processing via data augmentation and conversion from RGB (Red, Green, and Blue) image LAB (Luminosity, A: color space, B: color space) image. Extract the nuclei correctly from the background image using k-means clustering. Extract the most salient features from the segmented images using EMD in the state of the art of HHT.

Acute kidney injury in infants with hypoxic-ischemic encephalopathy.

BACKGROUND: This study aimed to investigate the prevalence of acute kidney injury (AKI) in infants with varying degrees of hypoxic-ischemic encephalopathy (HIE) and its associated outcomes, including mortality and length of stay (LOS). METHODS: The study used the National Inpatient Sample (NIS) dataset from 2010 to 2018. Regression analysis was used to control confounding variables. RESULTS: Of 31,220,784 infants included in the study, 30,130 (0.1%) had HIE. The prevalence of AKI was significantly higher in infants with HIE (9.0%) compared to those without (0.04%), with an adjusted odds ratio (aOR) of 77.6 (CI:70.1-85.7, p < 0.001), with the highest prevalence of AKI in infants with severe HIE (19.7%), aOR:130 (CI: 107-159), p < 0.001). Infants with AKI had a higher mortality rate compared to those without AKI in those diagnosed with any degree of HIE (28.9% vs. 8.8%), aOR 3.5 (CI: 3.2-3.9, p < 0.001), particularly among those with severe HIE, aOR:1.4 (1.2-1.6, p < 0.001). CONCLUSIONS: HIE is associated with an increased prevalence of AKI. Infants with severe HIE had the highest prevalence of AKI and associated mortality. The study highlights the need for close monitoring and early detection of AKI in infants with HIE, particularly those with severe HIE, to ameliorate the associated adverse outcomes.

Chorioamnionitis, Cesarean Deliveries, and Racial Disparities in the USA.

BACKGROUND: Studies showed disparities in management and outcomes of African American when compared to Caucasian population. The presence of chorioamnionitis may affect the decision to have a cesarean delivery (CD); however, it is not known if such a decision is affected by the mothers' race/ethnicity. OBJECTIVE: To assess the interaction between African American race/ethnicity and CD in women with chorioamnionitis. METHODS: Utilizing the National Inpatient Sample dataset, we examined the association of CD with chorioamnionitis in the overall population and within Caucasian and African American. Logistic regression models were used to control for confounders. RESULTS: The study included 6,648,883 women who delivered 6,925,920 infants. The prevalence of chorioamnionitis was 0.78 and 1.1 in Caucasian and African American, respectively. CD with and without chorioamnionitis was 41.2% and 32.4%, respectively (aOR 1.46 (1.43-1.49), p < 0.001), in Caucasian population and 45.0% and 36.6% in African American population aOR 1.42 (1.37-1.47), p < 0.001. African American population had significantly higher CD after controlling for chorioamnionitis and other confounding variables (aOR of 1.18 (1.17-1.18), p < 0.001). CONCLUSION: Chorioamnionitis is associated with increased rate of CD. Ethnic disparities exist in CD rates regardless of the chorioamnionitis status. Such findings warrant further investigation to explore factors associated with this discrepancy.

Engineering of Multifunctional Nanocomposite Membranes for Wastewater Treatment: Oil/Water Separation and Dye Degradation.

Multifunctional membrane technology has gained tremendous attention in wastewater treatment, including oil/water separation and photocatalytic activity. In the present study, a multifunctional composite nanofiber membrane is capable of removing dyes and separating oil from wastewater, as well as having antibacterial activity. The composite nanofiber membrane is composed of cellulose acetate (CA) filled with zinc oxide nanoparticles (ZnO NPs) in a polymer matrix and dipped into a solution of titanium dioxide nanoparticles (TiO2 NPs). Membrane characterization was performed using transmission electron microscopy (TEM), field emission scanning electron microscopy (FESEM), and Fourier transform infrared (FTIR), and water contact angle (WCA) studies were utilized to evaluate the introduced membranes. Results showed that membranes have adequate wettability for the separation process and antibacterial activity, which is beneficial for water disinfection from living organisms. A remarkable result of the membranes' analysis was that methylene blue (MB) dye removal occurred through the photocatalysis process with an efficiency of ~20%. Additionally, it exhibits a high separation efficiency of 45% for removing oil from a mixture of oil-water and water flux of 20.7 L.m-2 h-1 after 1 h. The developed membranes have multifunctional properties and are expected to provide numerous merits for treating complex wastewater.

Status of countrywide laboratory services quality and capacity in primary healthcare facilities in Tanzania: Findings from Star Rating Assessment.

Accurate disease diagnosis relies on a well-organized and reliable laboratory system. This study assesses the quality of laboratory services in Tanzania based on the nationwide Star Rating Assessment (SRA) of Primary Healthcare (PHC) facilities conducted in 2017/18. This cross-sectional study utilized secondary data from all the country's PHC facilities stored in the SRA database. Laboratory service quality was assessed by aggregating scores as percentages of the maximum achievable score across various indicators: dedicated laboratory department/room, adequate equipment, staffing levels, adherence to testing protocols, establishment of turnaround times, internal and external quality controls, and safety and supplies management. Scores equal to or exceeding 80% were deemed compliant. Multiple linear regression was used to determine the influence of facility characteristics (level, ownership, location, staffing) on quality scores, with statistical significance set at p < 0.05. The study included 6,663 PHC facilities (85.9% dispensaries, 11% health centers, 3.2% hospital-level-1), with the majority being public (82.3% vs. 17.7%) and located in rural areas (77.1% vs. 22.9%). On average, facilities scored 30.8% (SD = 35.7), and only 26.6% met staffing requirements. Compliance with quality standards was higher in private (63% vs. 19%, p<0.001) and urban facilities (62% vs. 16%, p<0.001). More than half of the facilities did not meet either of the eight quality indicators. Quality was positively linked to staffing compliance (Beta = 5.770) but negatively impacted by dispensaries (Beta = -6.342), rural locations (Beta = -0.945), and public ownership (Beta = -1.459). A score of 30% falls significantly short of the national target of 80%. Improving laboratory staffing levels at PHC facilities could improve the quality of laboratory services, especially in public facilities that are based in rural areas. There is a need to further strengthen laboratory services in PHC facilities to ensure the quality of laboratory services and clients' satisfaction.

Portrait of a generalist bacterium: pathoadaptation, metabolic specialization and extreme environments shape diversity of Staphylococcus saprophyticus.

Staphylococcus saprophyticus is a Gram-positive, coagulase-negative staphylococcus found in diverse environments including soil and freshwater, meat, and dairy foods. S. saprophyticus is also an important cause of urinary tract infections (UTIs) in humans, and mastitis in cattle. However, the genetic determinants of virulence have not yet been identified, and it remains unclear whether there are distinct sub-populations adapted to human and animal hosts. Using a diverse sample of S. saprophyticus isolates from food, animals, environmental sources, and human infections, we characterized the population structure and diversity of global populations of S. saprophyticus . We found that divergence of the two major clades of S. saprophyticus is likely facilitated by barriers to horizontal gene transfer (HGT) and differences in metabolism. Using genome-wide association study (GWAS) tools we identified the first Type VII secretion system (T7SS) described in S. saprophyticus and its association with bovine mastitis. Finally, we found that in general, strains of S. saprophyticus from different niches are genetically similar with the exception of built environments, which function as a 'sink' for S. saprophyticus populations. This work increases our understanding of the ecology of S. saprophyticus and of the genomics of bacterial generalists. Data summary: Raw sequencing data for newly sequenced S. saprophyticus isolates have been deposited to the NCBI SRA under the project accession PRJNA928770. A list of all genomes used in this work and their associated metadata are available in the supplementary material. Custom scripts used in the comparative genomics and GWAS analyses are available here: https://github.com/myoungblom/sapro_genomics . Impact statement: It is not known whether human and cattle diseases caused by S. saprophyticus represent spillover events from a generalist adapted to survive in a range of environments, or whether the capacity to cause disease represents a specific adaptation. Seasonal cycles of S. saprophyticus UTIs and molecular epidemiological evidence suggest that these infections may be environmentally-acquired rather than via transmission from person to person. Using comparative genomics and genome wide association study tools, we found that S. saprophyticus appears adapted to inhabit a wide range of environments (generalist), with isolates from animals, food, natural environments and human infections being closely related. Bacteria that routinely switch environments, particularly between humans and animals, are of particular concern when it comes to the spread of antibiotic resistance from farm environments into human populations. This work provides a framework for comparative genomic analyses of bacterial generalists and furthers our understanding of how bacterial populations move between humans, animals, and the environment.

Intracranial hemorrhages in infants of diabetic mothers: A national cohort study.

OBJECTIVE: To assess the association of maternal diabetes mellitus (DM) with intraventricular hemorrhage (IVH) and other intracranial hemorrhages (ICH) in newborns. STUDY DESIGN: We analyzed the National Inpatient Sample dataset and compared prevalence of IVH and other subtypes of ICH in infants of diabetic mothers (IDMs) vs. those born to mothers without DM. Regression models were used to control for demographic and clinical confounding variables. RESULT: A total of 11,318,691 infants were included. Compared to controls, IDMs had increased prevalence of IVH (aOR = 1.18, CI: 1.12-1.23, p < 0.001) and other ICH (aOR = 1.18, CI: 1.07-1.31, p = 0.001). Severe IVH (grades 3 & 4) was encountered less frequently in IDMs (aOR = 0.75, CI: 0.66-0.85, p < 0.001) than controls. Gestational DM was not associated with increased IVH after controlling for the demographic, clinical and perinatal confounders in the logistic regression model (aOR = 1.04, CI: 0.98-1.11, p = 0.22). CONCLUSION: Chronic maternal DM is associated with increased neonatal IVH and other ICH but not severe IVH. This association needs to be confirmed in further studies.

Antenatal magnesium sulfate and the need for mechanical ventilation in the first three days of life.

BACKGROUND: Antenatal administration of magnesium sulfate (MgSO4) to women in preterm labor has gained widespread use. This study examined the relationship between MgSO4 exposure with neonatal respiratory outcomes. METHODS: Very low birth weight (VLBW) infants exposed to antenatal MgSO4 were included. Infants who were intubated anytime during the first three days of life were compared to those who were not intubated regarding their demographic and clinical characteristics, MgSO4 therapy, immediate respiratory outcomes, and occurrence of intraventricular hemorrhage (IVH) using student t-test, chi square testing and logistic regression analysis to control for confounding variables. Correlation coefficient of MgSO4 cumulative dose given and duration of infusion with delivery room resuscitation and need for mechanical ventilation in the first 3 days of life were also calculated. Multilinear regression analysis was used to control for confounding factors. RESULTS: Intubated group included 96 infants while non-intubated group included 171 infants. Although, intubated group has younger gestational age (26 vs. 29 weeks, p < 0.01) and lower birth weight (786 vs. 1115 g (g), p < 0.01), there were no significant differences between groups in regard to MgSO4 cumulative dose (24 vs. 27 g, p = 0.29), infusion time (14.6 vs. 18 h, p = 0.19) or infants' serum magnesium level (2.6 vs. 2.8 milliequivalents (mEq)/L p = 0.86). There was no correlation between cumulative MgSO4 dose with endotracheal intubation or cardiac resuscitation in the delivery room (cc: -0.03, p = 0.66; and 0.02, p = 0.79, respectively) or the need for mechanical ventilation in the first 3 days of life (cc: -0.04 to -0.07, p = 0.21-0.51). In addition, there was no relationship between MgSO4 dose, duration of infusion, or infant's serum magnesium level and occurrence of IVH. CONCLUSION: Regardless of dose or duration of infusion, antenatal MgSO4 exposure is not associated with increased intubation or mechanical ventilation early in life.

Acute kidney injury in infants diagnosed with congenital diaphragmatic hernia.

BACKGROUND: To assess the association and outcomes of acute kidney injury (AKI) in infants diagnosed with congenital diaphragmatic hernia (CDH). METHODS: We analyzed the National Inpatient Sample dataset for the years 2010 through 2018. We evaluated the prevalence and outcomes associated with AKI in infants diagnosed with CDH. Outcomes were assessed using regression analysis while controlling for variables. RESULTS: A total of 32,042,481 term infants were identified, of them 10,804 had CDH. Prevalence of AKI in infants with CDH was 6.5% compared to 0.05% in those without CDH (aOR = 14.7, CI: 13.0-16.6). ECMO was utilized at 62% of CDH infants that had AKI compared to 17% in infants without AKI (aOR = 4.22, CI: 3.38-5.27). Mortality was greater in CDH infants who developed AKI when compared to those without AKI (57.3 vs. 16.7%, aOR = 3.65, CI: 2.99-4.46). The trend of mortality in CDH infants who developed AKI decreased overtime, p < 0.001, while the trends for mortality in the overall CDH infants and in CDH infants without AKI did not change during the study period, p = 0.12. CONCLUSION: AKI is not uncommon in infants diagnosed with CDH. ECMO utilization and mortality are substantially increased in CDH infants when they develop AKI. IMPACT: Mortality in infants diagnosed with congenital diaphragmatic hernia (CDH) is relatively high despite advances in neonatal care. Infants with CDH are potentially at increased risk of acute kidney injury (AKI). Within CDH population, infants diagnosed with AKI are at increased risk for ECMO use and mortality. This is the largest study to address the association and outcomes of AKI in term infants diagnosed with CDH.

An Innovative Cloud-Fog-Based Smart Grid Scheme for Efficient Resource Utilization.

Smart grids (SGs) enhance the effectiveness, reliability, resilience, and energy-efficient operation of electrical networks. Nonetheless, SGs suffer from big data transactions which limit their capabilities and can cause delays in the optimal operation and management tasks. Therefore, it is clear that a fast and reliable architecture is needed to make big data management in SGs more efficient. This paper assesses the optimal operation of the SGs using cloud computing (CC), fog computing, and resource allocation to enhance the management problem. Technically, big data management makes SG more efficient if cloud and fog computing (CFC) are integrated. The integration of fog computing (FC) with CC minimizes cloud burden and maximizes resource allocation. There are three key features for the proposed fog layer: awareness of position, short latency, and mobility. Moreover, a CFC-driven framework is proposed to manage data among different agents. In order to make the system more efficient, FC allocates virtual machines (VMs) according to load-balancing techniques. In addition, the present study proposes a hybrid gray wolf differential evolution optimization algorithm (HGWDE) that brings gray wolf optimization (GWO) and improved differential evolution (IDE) together. Simulation results conducted in MATLAB verify the efficiency of the suggested algorithm according to the high data transaction and computational time. According to the results, the response time of HGWDE is 54 ms, 82.1 ms, and 81.6 ms faster than particle swarm optimization (PSO), differential evolution (DE), and GWO. HGWDE's processing time is 53 ms, 81.2 ms, and 80.6 ms faster than PSO, DE, and GWO. Although GWO is a bit more efficient than HGWDE, the difference is not very significant.