Propofol vs Midazolam As the Initial Sedation Strategy for Mechanically Ventilated Patients: A Single-Center Experience From Saudi Arabia.

Background Propofol and midazolam are the most common sedative agents used in critical settings. Propofol and midazolam might have different mortality rates after sedation administration. Some studies mention that propofol is associated with a lower mortality rate than midazolam in mechanically ventilated patients, but other studies have contradicting results. This study aims to compare the 28-day mortality of propofol versus midazolam for patients undergoing mechanical ventilation in the National Guard Hospital Health Affairs (NGHA)-Western Region (WR). Methods A retrospective chart review was conducted at (NGHA-WR) from March 2016 to July 2022. The inclusion criteria were those mechanically ventilated patients aged 18 years or older who were admitted to ICU, where they were given either propofol or midazolam as the initial sedative agent. Those who signed DNR (Do Not Resuscitate) or were contraindicated to sedation, such as allergy, were excluded from the study. Data were retrospectively retrieved and obtained from the Hospital Information System (HIS-BestCare, Saudi-Korean Health Informatics Company, Riyadh, Saudi Arabia) and the Office of Data Intelligence. Results There is a significant difference between the type of sedation and the 28-day mortality rate. Midazolam was associated with higher rates of mortality - 104 (47.93%) when compared to propofol - three (14.29%). Also, patients who used midazolam had longer durations of ICU stay compared to propofol, with a mean number of 19.23 days vs 7.55 days, respectively. Conclusion There is a significant difference regarding the 28-day mortality between patients who were given propofol or midazolam as an initial sedative agent for mechanical ventilation ≥ 24 hours. Moreover, the use of propofol is associated with fewer days of being intubated or being in ICU when compared to midazolam.

Longitudinal effects of prenatal substance use and environmental stressors on executive functioning in low-income African American adolescents: A latent growth modeling analysis.

Adverse prenatal substance use and environmental stressors have been linked to prefrontal cortex (PFC) impairments, the brain region that regulates executive functioning. Executive functions (e.g., inhibitory control, working memory, and cognitive flexibility) are crucial for sophisticated cognitive activities throughout child and adolescent development. There is little research on how prenatal substance use and environmental stressors longitudinally program executive functioning in children over time. We investigated the associations between prenatal/environmental stressors (i.e., maternal prenatal substance use, maternal-fetal bonding, and neighborhood disorganization) and executive function performance among low-income African American youth from age 6 until age 18. Analyses were based on four waves of data collected between 1994 and 2014 in the Memphis New Mothers Study, a longitudinal randomized controlled trial that was an intervention during pregnancy and the first two years of the child's life in low-SES women and their first-born children. Mothers and their children were followed longitudinally through 18 years post-childbirth. Prenatal substance use (e.g., prenatal smoke, alcohol, and drug use) and environmental stressor (e.g., food environment, maternal-fetal bonding and neighborhood disorganizations) evaluations were gathered from mothers and children prenatally and postnatally before the age of 4.5 years. Executive function was assessed using the Child Behavior Checklist for impulsivity and inattention, while the coding subscale of the Wechsler Intelligence Scale for Children-Third Edition, the reading recognition subtest of the Peabody Individual Achievement Test, and the digit span subtest of the Wechsler Adult Intelligence Scale were employed to assess working memory at three time periods (6, 12, and 18 years). Covariate-adjusted latent growth models estimated the associations between prenatal substance use and environmental stressors and changes in executive functioning over three time points. Prenatal smoking and alcohol use were associated with changes in impulsivity scores over 12 years. Prenatal alcohol use predicted higher inattention at baseline and a slower rate of change from ages 6 to 18. Neighborhood disorganization at ages 6 and 18 predicted higher inattention and lower working memory in youth at age 18, respectively. Our findings underscore the long-term impact of prenatal substance use exposures and neighborhood environments on cognitive development and highlight the importance of early interventions to mitigate these effects.

Tweeting environmental pollution: Analyzing twitter language to uncover its correlation with county-level obesity rates in the United States.

BACKGROUND: Environmental pollution has been linked to obesogenic tendencies. Using environmental-related posts from Twitter (now known as X) from U.S. counties, we aim to uncover the association between Twitter linguistic data and U.S. county-level obesity rates. METHODS: Analyzing nearly 300 thousand tweets from January 2020 to December 2020 across 207 U.S. counties, using an innovative Differential Language Analysis technique and drawing county-level obesity data from the 2020 Food Environment Atlas to identify distinct linguistic features in Twitter relating to environmental-related posts correlated with socioeconomic status (SES) index indicators, obesity rates, and obesity rates controlled for SES index indicators. We also employed predictive modeling to estimate Twitter language's predictive capacity for obesity rates. RESULTS: Results revealed a negative correlation between environmental-related tweets and obesity rates, both before and after adjusting for SES. Contrarily, non-environmental-related tweets showed a positive association with higher county-level obesity rates, indicating that individuals living in counties with lower obesity rates tend to tweet environmental-related language more frequently than those living in counties with higher obesity rates. The findings suggest that linguistic patterns and expressions employed in discussing environmental-related themes on Twitter can offer unique insights into the prevailing cross-sectional patterns of obesity rates. CONCLUSIONS: Although Twitter users are a subset of the general population, incorporating environmental-related tweets and county-level obesity rates and using a novel language analysis technique make this study unique. Our results indicated that Twitter users engaging in more active dialog about environmental concerns might exhibit healthier lifestyle practices, contributing to reduced obesity rates.

Prenatal exposure to metal mixtures and childhood temporal processing in the PROGRESS Birth Cohort Study: Modification by childhood obesity.

Children are frequently exposed to various biological trace metals, some essential for their development, while others can be potent neurotoxicants. Furthermore, the inflammatory and metabolic conditions associated with obesity may interact with and amplify the impact of metal exposure on neurodevelopment. However, few studies have assessed the potential modification effect of body mass index (BMI). As a result, we investigated the role of child BMI phenotype on the relationship between prenatal exposure to metal mixtures and temporal processing. Leveraging the PROGRESS birth cohort in Mexico City, children (N = 563) aged 6-9 years completed a Temporal Response Differentiation (TRD) task where they had to hold a lever down for 10-14 s. Blood and urinary metal (As, Pb, Cd, and Mn) measurements were collected from mothers in the 2nd and 3rd trimesters. Child BMI z-scores were dichotomized to normal (between -2 and +0.99) and high (≥1.00). Covariate-adjusted weighted quantile sum (WQS) regression models were used to estimate and examine the combined effect of metal biomarkers (i.e., blood and urine) on TRD measures. Effect modification by the child's BMI was evaluated using 2-way interaction terms. Children with a high BMI and greater exposure to the metal mixture during prenatal development exhibited significant temporal processing deficits compared to children with a normal BMI. Notably, children with increased exposure to the metal mixture and higher BMI had a decrease in the percent of tasks completed (ß = -10.13; 95 % CI: -19.84, -0.42), number of average holds (ß = -2.15; 95 % CI: -3.88, -0.41), longer latency (ß = 0.78; 95 % CI: 0.13, 1.44), and greater variability in the standard deviation of the total hold time (ß = 2.08; 95 % CI: 0.34, 3.82) compared to normal BMI children. These findings implicate that high BMI may amplify the effect of metals on children's temporal processing. Understanding the relationship between metal exposures, temporal processing, and childhood obesity can provide valuable insights for developing targeted environmental interventions.

Sensitive development windows of prenatal air pollution and cognitive functioning in preschool age Mexican children.

Introduction: Neurotoxicity resulting from air pollution is of increasing concern. Considering exposure timing effects on neurodevelopmental impairments may be as important as the exposure dose. We used distributed lag regression to determine the sensitive windows of prenatal exposure to fine particulate matter (PM2.5) on children's cognition in a birth cohort in Mexico. Methods: Analysis included 553 full-term (≥37 weeks gestation) children. Prenatal daily PM2.5 exposure was estimated using a validated satellite-based spatiotemporal model. McCarthy Scales of Children's Abilities (MSCA) were used to assess children's cognitive function at 4-5 years old (lower scores indicate poorer performance). To identify susceptibility windows, we used Bayesian distributed lag interaction models to examine associations between prenatal PM2.5 levels and MSCA. This allowed us to estimate vulnerable windows while testing for effect modification. Results: After adjusting for maternal age, socioeconomic status, child age, and sex, Bayesian distributed lag interaction models showed significant associations between increased PM2.5 levels and decreased general cognitive index scores at 31-35 gestation weeks, decreased quantitative scale scores at 30-36 weeks, decreased motor scale scores at 30-36 weeks, and decreased verbal scale scores at 37-38 weeks. Estimated cumulative effects (CE) of PM2.5 across pregnancy showed significant associations with general cognitive index (CE^ = -0.35, 95% confidence interval [CI] = -0.68, -0.01), quantitative scale (CE^ = -0.27, 95% CI = -0.74, -0.02), motor scale (CE^ = -0.25, 95% CI = -0.44, -0.05), and verbal scale (CE^ = -0.2, 95% CI = -0.43, -0.02). No significant sex interactions were observed. Conclusions: Prenatal exposure to PM2.5, particularly late pregnancy, was inversely associated with subscales of MSCA. Using data-driven methods to identify sensitive window may provide insight into the mechanisms of neurodevelopmental impairment due to pollution.

Prenatal metal exposures and childhood gut microbial signatures are associated with depression score in late childhood.

BACKGROUND: Childhood depression is a major public health issue worldwide. Previous studies have linked both prenatal metal exposures and the gut microbiome to depression in children. However, few, if any, have studied their interacting effect in specific subgroups of children. OBJECTIVES: Using an interpretable machine-learning method, this study investigates whether children with specific combinations of prenatal metals and childhood microbial signatures (cliques or groups of metals and microbes) were more likely to have higher depression scores at 9-11 years of age. METHODS: We leveraged data from a well-characterized pediatric longitudinal birth cohort in Mexico City and its microbiome substudy (n = 112). Eleven metal exposures were measured in maternal whole blood samples in the second and third trimesters of pregnancy. The gut microbial abundances were measured at 9-11-year-olds using shotgun metagenomic sequencing. Depression symptoms were assessed using the Child Depression Index (CDI) t-scores at 9-11 years of age. We used Microbial and Chemical Exposure Analysis (MiCxA), which combines interpretable machine-learning into a regression framework to identify and estimate joint associations of metal-microbial cliques in specific subgroups. Analyses were adjusted for relevant covariates. RESULTS: We identified a subgroup of children (11.6 % of the sample) characterized by a four-component metal-microbial clique that had a significantly high depression score (15.4 % higher than the rest) in late childhood. This metal-microbial clique consisted of high Zinc in the second trimester, low Cobalt in the third trimester, a high abundance of Bacteroides fragilis, a high abundance of Faecalibacterium prausnitzii. All combinations of cliques (two-, three-, and four-components) were significantly associated with increased log-transformed t-scored CDI (ß = 0.14, 95%CI = [0.05,0.23], P < 0.01 for the four-component clique). SIGNIFICANCE: This study offers a new approach to chemical-microbial analysis and a novel demonstration that children with specific gut microbiome cliques and metal exposures during pregnancy may have a higher likelihood of elevated depression scores.

Continuous solutions of cosmic-rays and waves in astrophysical environments.

The propagation of energetic charged particles and cosmic rays in magnetized thermal plasma is focused. We consider a four-fluid system that consists of thermal plasma, cosmic rays, and two opposite propagating Alfvén waves to investigate the dynamics and energy exchange mechanisms of the system. Additionally, cosmic rays diffusion within the plasma is considered along the magnetic field lines whereas neglected the cross field line diffusion effects. This study is important for understanding of pressure gradients and their impact on the feedback in astrophysical environment. Over the last few decades, this problem becomes important when we discuss the interaction of cosmic rays with plasma in space, such as interstellar clouds or interstellar medium.

Quimioembolização transarterial hepática: modelo experimental de tumor em ratos / Transarterial hepatic chemoembolization: an experimental model in rats

OBJETIVO: Estabelecer um modelo de tumor no fígado de ratos para estudo do comportamento tumoral e avaliar o uso da quimiembolização transarterial. MÉTODOS: Utilizou-se oitenta e oito ratos Wistar, fêmeas, adultos, pesando entre 175- 284 g . Realizado incisão abdominal de 3 cm e implantou-se o carcinossarcoma de Walker 256 no lóbulo esquerdo do fígado. Dividiu-se em três grupos que receberam respectivamente 100x 10 , 200x 10 e 300x 10 células tumorais, avaliado a pega do tumor e a sobrevida. Em outro grupo de experimento com 39 animais inoculados com tumor de Walker foi avaliado a sobrevida dos animais após infusão do 5-Flourouracil (5-FU) por via intra-peritoneal e intra-arterial. RESULTADOS: O implante do carcinossarcoma de Walker no fígado de ratos apresentou desenvolvimento de 100 por cento, teve um crescimento rápido e desenvolvimento de metástases tardiamente, levando os animais ao óbito entre o sétimo e décimo quinto dia. A quimiembolização transarterial é possível de ser realizada experimentalmente. O uso do 5-FU aumentou a sobrevida em comparação ao grupo controle. CONCLUSAO: O modelo de implante do tumor de Walker no fígado de ratos é eficiente, de fácil reprodutibilidade, e sobrevida média de 9,96±0.3 dias. A quimioterapia transarterial hepática pode ser realizada experimentalmente para avaliar diversas drogas.