The Drosophila neuroblast polarity cycle at a glance.

Drosophila neural stem cells, or neuroblasts, rapidly proliferate during embryonic and larval development to populate the central nervous system. Neuroblasts divide asymmetrically to create cellular diversity, with each division producing one sibling cell that retains the neuroblast fate and another that differentiates into glia or neurons. This asymmetric outcome is mediated by the transient polarization of numerous factors to the cell cortex during mitosis. The powerful genetics and outstanding imaging tractability of the neuroblast make it an excellent model system for studying the mechanisms of cell polarity. This Cell Science at a Glance article and the accompanying poster explore the phases of the neuroblast polarity cycle and the regulatory circuits that control them. We discuss the key features of the cycle - the targeted recruitment of proteins to specific regions of the plasma membrane and multiple phases of highly dynamic actomyosin-dependent cortical flows that pattern both protein distribution and membrane structure.

Days Not at Home: Association of Vulnerability with Healthcare Utilization After Hospitalization for Heart Failure.

BACKGROUND: Heart failure (HF) hospitalizations are characterized by vulnerability in functioning and frequent post-discharge healthcare utilization in both acute and post-acute settings. OBJECTIVE: To determine, in patients hospitalized for decompensated HF, the association of vulnerability with (1) detailed forms of post-discharge healthcare utilization, and (2) days spent away from home after initial hospital discharge. DESIGN: Secondary analysis of a prospective longitudinal cohort study from a single-center academic institution in the USA. PARTICIPANTS: Adults admitted with acute decompensated HF who were discharged alive. MAIN MEASURES: The Vulnerable Elders Survey 13 (VES-13) measured functional vulnerability at baseline. The primary outcome was the Highest Healthcare Utilization (HHU) 90 days post-discharge, from the following ordered categories: at home, emergency room visit, skilled nursing facility stay, hospital readmission, or death. The secondary outcome was the proportion of days not at home (DNAH) within the first 90 days. Analyses were performed using a partial proportional odds model with adjustment for demographics and health characteristics. KEY RESULTS: A total of 806 patients were included with median age 65, interquartile range [IQR] 55-73 years. Fewer than half (N = 345 [43%]) of patients remained alive and at home during 90-day follow-up. There were 286 [35%] hospital readmissions and 70 [8.7%] participants died. The median DNAH was 3 [IQR 0-16]. Increased vulnerability was associated with (1) HHU, (2) higher odds of utilizing healthcare or dying versus being at home alive 90 days post-discharge (OR 1.81 [95% CI, 1.35, 2.42]), and (3) higher odds of DNAH in the first 90 days (OR 1.55 [95% CI, 1.27, 1.89]). CONCLUSIONS: In this cohort of patients hospitalized for decompensated HF, vulnerability predicted higher levels of healthcare utilization, as well as total days not at home in the 90 days following hospitalization. Vulnerability may have clinical applications to identify patients at greatest need for comprehensive, patient-centered discharge planning.

Sex differences in physical activity of US children at age 13 months: child and Mother Physical Activity Study (CAMPAS).

BACKGROUND: Lower physical activity (PA) has been observed in females compared to males among preschool-aged and older children. However, the timing of when the sex gap emerges is unclear. The purpose of this study was to investigate whether females have lower PA levels than males in the early toddler age and to explore whether gross motor competency and PA parenting practices might explain a sex difference in PA. METHODS: The study design was cross-sectional. Participants were a community-based sample of 137 children aged 10-16 months residing in US Midwest urban/suburban area. Participants' mothers completed a survey that contained a demographic questionnaire, the Ages and Stages Questionnaire gross motor competency subscale, and a PA parenting practices questionnaire. Participating children wore an ActiGraph accelerometer on their hip for 7 days. Accelerometer-measured time spent in moderate- and vigorous intensity PA (MVPA; minutes/day) and in total PA (minutes/day) were calculated. Multivariable linear regression analysis was conducted to predict MVPA and total PA by sex, gross motor competency, PA parenting practices, and socioeconomic status. RESULTS: Among 137 participants (54.0% female), average age was 13.6 months (SD = 1.7). MVPA was 72 ± 25 and 79 ± 26 min/day for females and males, respectively (p = 0.14). Total PA was 221 ± 48 and 238 ± 47 min/day for females and males, respectively (p = 0.04). Both gross motor competency and PA-encouraging parenting practices were positively associated MVPA (p = 0.01 and p = 0.02, respectively) and total PA (p = 0.02 and p = 0.01, respectively); however, these relationships did not differ by sex (p = 0.11 and p = 0.89, respectively). After accounting for gross motor competency and PA parenting practices, total PA was 15 min/day lower among females than males (p = 0.04). CONCLUSIONS: This cross-sectional study of US children observed a sex gap in total PA at 10-16 months of age. Gross motor development and PA parenting practices did not differ by child sex nor explain the sex difference in PA. A longitudinal investigation should follow to further narrow down when sex differences in PA emerge and to determine the factors that lead to this difference.

Epiretinal membrane in uveitis: Rate, visual prognosis, complications and surgical outcomes.

BACKGROUND: Epiretinal membrane (ERM) is a common finding in patients with uveitis that contributes to visual impairment. We describe the long-term visual acuity (VA) and morphometric progression in patients with uveitis and epiretinal membrane (ERM). METHODS: Retrospective cohort study of patients with uveitic ERM from a tertiary centre database. Multivariate analysis of risk factors for ERM progression was calculated using a marginal Cox regression model to estimate hazard ratios (HR). RESULTS: Two hundred and sixteen eyes (4%) of a total 5450 eyes with uveitis were identified to have an ERM. The most common diagnosis was idiopathic uveitis in 45 patients (28.7%), followed by sarcoidosis in 21 (13.4%), HLAB27-related uveitis in 15 (9.6%) and toxoplasmosis in 15 (9.6%). Risk factors for ERM development include age (HR 1.03), intermediate uveitis (HR 2.33), posterior uveitis (HR 1.53) and ERM fellow eye (HR 18.28). Anterior uveitis (HR 0.53) and alternating disease (HR 0.53) were protective. Median VA was 20/40 at diagnosis of ERM and 20/40 at final follow up. Progression of ERM grade occurred in 17 eyes (7.9%) during the study period. ERM peel was performed in 44 eyes (20.4%). Median VA was 20/60 and 20/40 at baseline and 12 months after surgery, respectively. Improvement in visual acuity occurred in 23 eyes (60.5%) following surgery. CONCLUSIONS: In addition to intermediate and posterior uveitis, fellow eye involvement is a strong risk factor for ERM development. In treated uveitis, the majority maintain their long-term vision and rates of ERM progression are low.

Examination of physical activity development in early childhood: protocol for a longitudinal cohort study of mother-toddler dyads.

BACKGROUND: Physical activity (PA) development in toddlers (age 1 and 2 years) is not well understood, partly because of a lack of analytic tools for accelerometer-based data processing that can accurately evaluate PA among toddlers. This has led to a knowledge gap regarding how parenting practices around PA, mothers' PA level, mothers' parenting stress, and child developmental and behavioral problems influence PA development in early childhood. METHODS: The Child and Mother Physical Activity Study is a longitudinal study to observe PA development in toddlerhood and examine the influence of personal and parental characteristics on PA development. The study is designed to refine and validate an accelerometer-based machine learning algorithm for toddler activity recognition (Aim 1), apply the algorithm to compare the trajectories of toddler PA levels in males and females age 1-3 years (Aim 2), and explore the association between gross motor development and PA development in toddlerhood, as well as how parenting practices around PA, mothers' PA, mothers' parenting stress, and child developmental and behavioral problems are associated with toddlerhood PA development (Exploratory Aims 3a-c). DISCUSSION: This study will be one of the first to use longitudinal data to validate a machine learning activity recognition algorithm and apply the algorithm to quantify free-living ambulatory movement in toddlers. The study findings will help fill a significant methodological gap in toddler PA measurement and expand the body of knowledge on the factors influencing early childhood PA development.

Rapid treatment of endophthalmitis with intravitreal antibiotics is associated with better vision outcomes.

BACKGROUND: To discover whether the timing of intravitreal antibiotics, from the time of presentation to injection, affects the visual outcomes of patients with endophthalmitis from all causes. METHODS: A retrospective study of consecutive patients managed at Auckland District Health Board between 1 January 2004 and 1 July 2021. The main outcome measure was final visual acuity at follow-up and the proportion of subjects with severe vision loss (≤6/60). RESULTS: Three hundred and seventy-four eyes were included in the study, with a median age of 69.7 years at presentation; 192 subjects (51.6%) were female. The median presenting visual acuity was hand movements and hypopyon was present in 194 subjects (51.9%). Cataract surgery was the most frequent aetiology in 115 subjects (30.7%), followed by intravitreal anti-vascular endothelial growth factor injections in 89 subjects (23.8%) and endogenous endophthalmitis in 54 subjects (14.4%). Median time to injection of intravitreal antibiotics was 3.5 h (Interquartile range 2-6). On multivariate analysis, early treatment with intravitreal antibiotics was associated with better visual outcome, particularly for those treated within 2 h, while poor presenting visual acuity and culture-positive endophthalmitis were associated with worse outcomes. CONCLUSION: Rapid intravitreal antibiotic administration is associated with better final visual acuity outcomes, particularly for those receiving treatment within 2 h of presentation. Patients with severe vision loss on presentation, benefit the most with improved final visual acuity following expedited treatment.

Cognitive Predictors of Delirium on Long-Term Follow-Up after TIA and Stroke: Population-Based Cohort Study.

INTRODUCTION: TIA and stroke cause cognitive impairment with a typical "vascular" pattern, including prominent frontal/executive deficits. Cognitive impairment is associated with increased delirium risk and the few available data suggest that executive dysfunction is important. We therefore determined the predictive value of both severity and pattern of cognitive deficits for delirium on long-term follow-up after TIA/stroke. METHODS: Surviving TIA/stroke participants on October 1, 2013, in the Oxford Vascular Study (OXVASC) were assessed prospectively for delirium during all hospitalizations over the subsequent 6 months. Associations between OXVASC pre-admission mini-mental state examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores, and delirium during hospitalizations on follow-up were determined using logistic regression adjusted for covariates, including demographic factors, history of depression, baseline stroke severity, and admission illness severity. RESULTS: Among 1,565 TIA/stroke survivors, 158 patients (mean/SD age = 79.2/11.5 years) had ≥1 admission and 59 (37%) had ≥1 delirium episode. Mean/SD time between baseline TIA/stroke and admission was 4.7/3.6 years and between most recent OXVASC cognitive testing and admission was 1.7/1.8 years. MMSE and MoCA scores were associated with delirium: odds ratio (OR) = 1.16 (95% CI 1.07-1.27, p < 0.0001 per point decrease in MMSE) and OR = 1.20 (1.11-1.30, p < 0.0001 MoCA) and associations were robust to adjustment for all covariates, including stroke severity: OR = 1.11 (1.01-1.22, p = 0.03, MMSE) and OR = 1.15 (1.05-1.25, p = 0.003, MoCA). All 10 subtests on the MoCA and 4/11 on the MMSE were significantly associated with delirium with highest predictive value for frontal/executive and recall domains. CONCLUSIONS: Cognitive impairment of increasing severity after TIA/stroke predisposed to delirium particularly deficits in frontal/executive domains and recall. Long-term risk of delirium should be considered as part of the overall cerebrovascular disease burden.

Utility of white matter disease and atrophy on routinely acquired brain imaging for prediction of long-term delirium risk: population-based cohort study.

BACKGROUND: brain imaging done as part of standard care may have clinical utility beyond its immediate indication. Using delirium as an exemplar, we determined the predictive value of baseline brain imaging variables [white matter changes (WMC) and atrophy] for delirium risk on long-term follow-up after transient ischemic attack (TIA)/stroke in a population-based cohort study. METHODS: surviving TIA/stroke participants in the Oxford Vascular Study (OXVASC) were assessed prospectively for delirium during all hospitalisations over 6 months (2013-14). Using logistic regression, independent associations were determined between baseline OXVASC computed tomography or magnetic resonance brain imaging measures of WMC and cerebral atrophy (none/mild versus moderate/severe) and delirium adjusted for age, sex, baseline stroke severity, depression, illness severity and pre-admission cognition. RESULTS: among 1,565 TIA/stroke survivors with 194 hospital admissions (158 patients, mean/standard deviation age at admission = 79.2/11.5 years), delirium occurred in 59 (37%). WMC and atrophy on baseline imaging were associated with delirium [odds ratio (OR) = 3.41, 1.21-5.85, P = 0.001 and OR = 2.50, 1.23-5.08, P = 0.01 (unadjusted) and OR = 2.67, 1.21-5.85, P = 0.02 and OR = 2.18, 1.00-4.73, P = 0.05 (adjusted age and sex)]. Associations were strengthened when analyses were restricted to patients hospitalised within 5 years of baseline brain imaging [OR = 6.04, 2.39-15.24, P < 0.0001 and OR = 4.64, 1.46-14.82, P = 0.009 (unadjusted)] but only WMC remained significant after adjustment for all covariates including pre-admission cognition (OR = 4.83, 1.29-18.13, P = 0.02 for Mini-Mental State Examination and OR = 5.15, 1.26-21.09, P = 0.02 for Montreal Cognitive Assessment). CONCLUSIONS: WMC and atrophy on brain imaging done up to 5 years earlier predicted delirium and may have clinical utility in risk stratification. Associations with WMC but not atrophy were independent of pre-admission cognitive impairment.

Sedation, Analgesia, and Paralysis in COVID-19 Patients in the Setting of Drug Shortages.

The rapid spread of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has led to a global pandemic. The 2019 coronavirus disease (COVID-19) presents with a spectrum of symptoms ranging from mild to critical illness requiring intensive care unit (ICU) admission. Acute respiratory distress syndrome is a major complication in patients with severe COVID-19 disease. Currently, there are no recognized pharmacological therapies for COVID-19. However, a large number of COVID-19 patients require respiratory support, with a high percentage requiring invasive ventilation. The rapid spread of the infection has led to a surge in the rate of hospitalizations and ICU admissions, which created a challenge to public health, research, and medical communities. The high demand for several therapies, including sedatives, analgesics, and paralytics, that are often utilized in the care of COVID-19 patients requiring mechanical ventilation, has created pressure on the supply chain resulting in shortages in these critical medications. This has led clinicians to develop conservation strategies and explore alternative therapies for sedation, analgesia, and paralysis in COVID-19 patients. Several of these alternative approaches have demonstrated acceptable levels of sedation, analgesia, and paralysis in different settings but they are not commonly used in the ICU. Additionally, they have unique pharmaceutical properties, limitations, and adverse effects. This narrative review summarizes the literature on alternative drug therapies for the management of sedation, analgesia, and paralysis in COVID-19 patients. Also, this document serves as a resource for clinicians in current and future respiratory illness pandemics in the setting of drug shortages.

Low hospital mobility-resurgence of an old epidemic within a new pandemic and future solutions.

Low mobility during hospitalisation poses risks of functional decline and other poor outcomes for older adults. Given the pervasiveness of this problem, low mobility during hospitalisation was first described as 'dangerous' in 1947 and later described as an epidemic. Hospitals have made considerable progress over the last half-century and the last two decades in particular, however, the COVID-19 pandemic presents serious new challenges that threaten to undermine recent efforts and progress towards a culture of mobility. In this special article, we address the question of how to confront an epidemic of immobility within a pandemic. We identify four specific problems for creating and advancing a culture of mobility posed by COVID-19: social distancing and policies restricting patient movement, personnel constraints, personal protective equipment shortages and increased patient hesitancy to ambulate. We also propose four specific solutions to address these problems. These approaches will help support a culture of healthy mobility during and after hospitalisation and help patients to keep moving during the pandemic and beyond.

A cross-sectional study of opioid involvement in non-poisoning suicide - risks and prevention opportunities.

OBJECTIVE: To examine prevalence, demographic, and incident factors associated with opioid-positivity in Illinois suicide decedents who died by causes other than poisoning. METHOD: Cross-sectional study of Illinois' suicide decedents occurring between January 2015 and December 2017. Data come from the National Violent Death Reporting System. We used Chi-square tests to compare decedent and incident circumstance characteristics by opioid toxicology screen status. Incident narratives were analyzed to obtain physical and mental health histories and circumstances related to fatal injury events. RESULTS: Of 1007 non-poisoning suicide decedents screened for opioids, 16.4% were opioid-positive. White race, age 75 and over, and widowed or unknown marital status were associated with opioid-positivity. Among opioid-positive decedents, 25% had a history of substance use disorder (SUD), 61% depression, and 19% anxiety. The majority (52%) of opioid-positive decedents died by firearm, a higher percentage than opioid-negative decedents. CONCLUSION: The opioid overdose crisis largely has not overlapped with non-poisoning suicide in this study. Overall, our analyses have not identified additional risk factors for suicide among opioid-positive suicide decedents. However, the overlap between opioid-positivity, SUD, and physical and mental health problems found among decedents in our data suggest several suicide prevention opportunities. These include medication assisted treatment for SUD which has been shown to reduce suicide, screening for opioid/benzodiazepine overlap, and limiting access to lethal means during opioid use. Improved death scene investigations for substances and use of the Prescription Drug Monitoring Program to document prescriptions are needed to further understanding of the role of substances in non-poisoning suicide.

Dynamic Panel Data Modeling and Surveillance of COVID-19 in Metropolitan Areas in the United States: Longitudinal Trend Analysis.

BACKGROUND: The COVID-19 pandemic has had profound and differential impacts on metropolitan areas across the United States and around the world. Within the United States, metropolitan areas that were hit earliest with the pandemic and reacted with scientifically based health policy were able to contain the virus by late spring. For other areas that kept businesses open, the first wave in the United States hit in mid-summer. As the weather turns colder, universities resume classes, and people tire of lockdowns, a second wave is ascending in both metropolitan and rural areas. It becomes more obvious that additional SARS-CoV-2 surveillance is needed at the local level to track recent shifts in the pandemic, rates of increase, and persistence. OBJECTIVE: The goal of this study is to provide advanced surveillance metrics for COVID-19 transmission that account for speed, acceleration, jerk and persistence, and weekly shifts, to better understand and manage risk in metropolitan areas. Existing surveillance measures coupled with our dynamic metrics of transmission will inform health policy to control the COVID-19 pandemic until, and after, an effective vaccine is developed. Here, we provide values for novel indicators to measure COVID-19 transmission at the metropolitan area level. METHODS: Using a longitudinal trend analysis study design, we extracted 260 days of COVID-19 data from public health registries. We used an empirical difference equation to measure the daily number of cases in the 25 largest US metropolitan areas as a function of the prior number of cases and weekly shift variables based on a dynamic panel data model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R. RESULTS: Minneapolis and Chicago have the greatest average number of daily new positive results per standardized 100,000 population (which we refer to as speed). Extreme behavior in Minneapolis showed an increase in speed from 17 to 30 (67%) in 1 week. The jerk and acceleration calculated for these areas also showed extreme behavior. The dynamic panel data model shows that Minneapolis, Chicago, and Detroit have the largest persistence effects, meaning that new cases pertaining to a specific week are statistically attributable to new cases from the prior week. CONCLUSIONS: Three of the metropolitan areas with historically early and harsh winters have the highest persistence effects out of the top 25 most populous metropolitan areas in the United States at the beginning of their cold weather season. With these persistence effects, and with indoor activities becoming more popular as the weather gets colder, stringent COVID-19 regulations will be more important than ever to flatten the second wave of the pandemic. As colder weather grips more of the nation, southern metropolitan areas may also see large spikes in the number of cases.

SARS-CoV-2 Surveillance in the Middle East and North Africa: Longitudinal Trend Analysis.

BACKGROUND: The COVID-19 pandemic has disrupted the lives of millions and forced countries to devise public health policies to reduce the pace of transmission. In the Middle East and North Africa (MENA), falling oil prices, disparities in wealth and public health infrastructure, and large refugee populations have significantly increased the disease burden of COVID-19. In light of these exacerbating factors, public health surveillance is particularly necessary to help leaders understand and implement effective disease control policies to reduce SARS-CoV-2 persistence and transmission. OBJECTIVE: The goal of this study is to provide advanced surveillance metrics, in combination with traditional surveillance, for COVID-19 transmission that account for weekly shifts in the pandemic speed, acceleration, jerk, and persistence to better understand a country's risk for explosive growth and to better inform those who are managing the pandemic. Existing surveillance coupled with our dynamic metrics of transmission will inform health policy to control the COVID-19 pandemic until an effective vaccine is developed. METHODS: Using a longitudinal trend analysis study design, we extracted 30 days of COVID-19 data from public health registries. We used an empirical difference equation to measure the daily number of cases in MENA as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel data model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R. RESULTS: The regression Wald statistic was significant (χ25=859.5, P<.001). The Sargan test was not significant, failing to reject the validity of overidentifying restrictions (χ2294=16, P=.99). Countries with the highest cumulative caseload of the novel coronavirus include Iran, Iraq, Saudi Arabia, and Israel with 530,380, 426,634, 342,202, and 303,109 cases, respectively. Many of the smaller countries in MENA have higher infection rates than those countries with the highest caseloads. Oman has 33.3 new infections per 100,000 population while Bahrain has 12.1, Libya has 14, and Lebanon has 14.6 per 100,000 people. In order of largest to smallest number of cumulative deaths since January 2020, Iran, Iraq, Egypt, and Saudi Arabia have 30,375, 10,254, 6120, and 5185, respectively. Israel, Bahrain, Lebanon, and Oman had the highest rates of COVID-19 persistence, which is the number of new infections statistically related to new infections in the prior week. Bahrain had positive speed, acceleration, and jerk, signaling the potential for explosive growth. CONCLUSIONS: Static and dynamic public health surveillance metrics provide a more complete picture of pandemic progression across countries in MENA. Static measures capture data at a given point in time such as infection rates and death rates. By including speed, acceleration, jerk, and 7-day persistence, public health officials may design policies with an eye to the future. Iran, Iraq, Saudi Arabia, and Israel all demonstrated the highest rate of infections, acceleration, jerk, and 7-day persistence, prompting public health leaders to increase prevention efforts.

SARS-CoV-2 Wave Two Surveillance in East Asia and the Pacific: Longitudinal Trend Analysis.

BACKGROUND: The COVID-19 pandemic has had a profound global impact on governments, health care systems, economies, and populations around the world. Within the East Asia and Pacific region, some countries have mitigated the spread of the novel coronavirus effectively and largely avoided severe negative consequences, while others still struggle with containment. As the second wave reaches East Asia and the Pacific, it becomes more evident that additional SARS-CoV-2 surveillance is needed to track recent shifts, rates of increase, and persistence associated with the pandemic. OBJECTIVE: The goal of this study is to provide advanced surveillance metrics for COVID-19 transmission that account for speed, acceleration, jerk, persistence, and weekly shifts, to better understand country risk for explosive growth and those countries who are managing the pandemic successfully. Existing surveillance coupled with our dynamic metrics of transmission will inform health policy to control the COVID-19 pandemic until an effective vaccine is developed. We provide novel indicators to measure disease transmission. METHODS: Using a longitudinal trend analysis study design, we extracted 330 days of COVID-19 data from public health registries. We used an empirical difference equation to measure the daily number of cases in East Asia and the Pacific as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R. RESULTS: The standard surveillance metrics for Indonesia, the Philippines, and Myanmar were concerning as they had the largest new caseloads at 4301, 2588, and 1387, respectively. When looking at the acceleration of new COVID-19 infections, we found that French Polynesia, Malaysia, and the Philippines had rates at 3.17, 0.22, and 0.06 per 100,000. These three countries also ranked highest in terms of jerk at 15.45, 0.10, and 0.04, respectively. CONCLUSIONS: Two of the most populous countries in East Asia and the Pacific, Indonesia and the Philippines, have alarming surveillance metrics. These two countries rank highest in new infections in the region. The highest rates of speed, acceleration, and positive upwards jerk belong to French Polynesia, Malaysia, and the Philippines, and may result in explosive growth. While all countries in East Asia and the Pacific need to be cautious about reopening their countries since outbreaks are likely to occur in the second wave of COVID-19, the country of greatest concern is the Philippines. Based on standard and enhanced surveillance, the Philippines has not gained control of the COVID-19 epidemic, which is particularly troubling because the country ranks 4th in population in the region. Without extreme and rigid social distancing, quarantines, hygiene, and masking to reverse trends, the Philippines will remain on the global top 5 list of worst COVID-19 outbreaks resulting in high morbidity and mortality. The second wave will only exacerbate existing conditions and increase COVID-19 transmissions.

Surveillance Metrics of SARS-CoV-2 Transmission in Central Asia: Longitudinal Trend Analysis.

BACKGROUND: SARS-CoV-2, the virus that caused the global COVID-19 pandemic, has severely impacted Central Asia; in spring 2020, high numbers of cases and deaths were reported in this region. The second wave of the COVID-19 pandemic is currently breaching the borders of Central Asia. Public health surveillance is necessary to inform policy and guide leaders; however, existing surveillance explains past transmissions while obscuring shifts in the pandemic, increases in infection rates, and the persistence of the transmission of COVID-19. OBJECTIVE: The goal of this study is to provide enhanced surveillance metrics for SARS-CoV-2 transmission that account for weekly shifts in the pandemic, including speed, acceleration, jerk, and persistence, to better understand the risk of explosive growth in each country and which countries are managing the pandemic successfully. METHODS: Using a longitudinal trend analysis study design, we extracted 60 days of COVID-19-related data from public health registries. We used an empirical difference equation to measure the daily number of cases in the Central Asia region as a function of the prior number of cases, level of testing, and weekly shift variables based on a dynamic panel model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R. RESULTS: COVID-19 transmission rates were tracked for the weeks of September 30 to October 6 and October 7-13, 2020, in Central Asia. The region averaged 11,730 new cases per day for the first week and 14,514 for the second week. Infection rates increased across the region from 4.74 per 100,000 persons to 5.66. Russia and Turkey had the highest 7-day moving averages in the region, with 9836 and 1469, respectively, for the week of October 6 and 12,501 and 1603, respectively, for the week of October 13. Russia has the fourth highest speed in the region and continues to have positive acceleration, driving the negative trend for the entire region as the largest country by population. Armenia is experiencing explosive growth of COVID-19; its infection rate of 13.73 for the week of October 6 quickly jumped to 25.19, the highest in the region, the following week. The region overall is experiencing increases in its 7-day moving average of new cases, infection, rate, and speed, with continued positive acceleration and no sign of a reversal in sight. CONCLUSIONS: The rapidly evolving COVID-19 pandemic requires novel dynamic surveillance metrics in addition to static metrics to effectively analyze the pandemic trajectory and control spread. Policy makers need to know the magnitude of transmission rates, how quickly they are accelerating, and how previous cases are impacting current caseload due to a lag effect. These metrics applied to Central Asia suggest that the region is trending negatively, primarily due to minimal restrictions in Russia.

Comparing effectiveness of fat burners and thermogenic supplements to diet and exercise for weight loss and cardiometabolic health: Systematic review and meta-analysis.

BACKGROUND: Those who are overfat face an onslaught of advice for losing weight, including using dietary supplements that purport to have fat burning capabilities to achieve a reduced body mass, fat mass and improvement in cardiometabolic health in combination with exercise or diet and exercise regimens. AIM: To examine long-term effectiveness of supplements for both weight loss and improvements in cardiometabolic health for these individuals. METHODS: A PRISMA methods of systematic review was conducted from August 2018 through January 2019 using Medline, PubChem, PubMed, EBOSCO CINHAL and SPORTDiscus, and Google Scholar yielding 23,441 returns of which 21 studies (duration greater than 8 weeks with participant populations of BMI greater than 24.9) were included for meta-analysis. Meta-analysis examined pooled effect size and 95% confidence interval for: body mass, fat mass, fat-free mass, total cholesterol, high-density lipoproteins, low-density lipoproteins, resting metabolic rate. Intra-study effect sizes were compared with previously reported results for diet or diet and exercise in a 2x2 chi-square analysis for the number of studies that induced effects greater than or less than the effect size. RESULTS: There is a general trend to show effectiveness (effect size greater than 0.00) for obtaining beneficial changes from use of thermogenic dietary supplements, yet the 95% confidence interval for effect size crossed 0.00 (indicating no benefit). Chi-square comparison to exercise, or combination of diet and exercise, indicates that responses induced from weight-loss supplements were less effective than what is obtained from utilizing exercise, or diet and exercise, without additional weight-loss supplements. CONCLUSION: There appears to be limited benefit that may be derived from the inclusion of thermogenic dietary supplements to reduce body mass and improve cardiometabolic health for individuals who are overfat.

Improving the assessment and documentation of patient mobility using a quality improvement framework.

OBJECTIVE: To implement a system for assessing and documenting patient mobility in an inpatient geriatric unit using a quality improvement framework. METHODS: Whiteboards incorporating the Johns Hopkins Highest Level of Mobility scale were placed on each door of the unit. Staff were trained to assess and document patient mobility, and documentation compliance was measured. Nurses were surveyed to assess perceived burden of the system. Fall rates were calculated and analyzed for change from baseline. RESULTS: Median daily documentation rates reached 79% by the end of the project. Surveys indicated a low perceived burden of the system. Fall rates did not increase when compared to the previous year baseline (p = 0.80) and the analogous time frames during the previous two years (p = 0.84). CONCLUSION: A quality improvement framework may be used to improve mobility assessment and documentation in a geriatric unit without increasing patient falls or nursing burden.

Impact of multiple placental pathologies on neonatal death, bronchopulmonary dysplasia, and neurodevelopmental impairment in preterm infants.

BACKGROUND: To determine the association of placental pathology, including multiple placental lesions, with the occurrence and severity of bronchopulmonary dysplasia (BPD), death, and neurodevelopmental impairment (NDI) in preterm infants. METHOD: A retrospective cohort study of neonates <29 weeks gestational age (GA) born at Parkland Hospital from 08/2009 to 08/2012. Infants were stratified as follows: Group 1: no significant placental pathology; Group 2: single significant placental lesion; and Group 3: ≥2 placental lesions (multiple lesions). Primary outcome was death and/or BPD. Two-year neurodevelopmental follow-up was compared. RESULTS: In all, 42% (100/241) of infants had one placental lesion, and 34% (82/241) ≥2 lesions. As the number of the pathologic lesions increased (no lesions vs. 1 vs. ≥2), the occurrence of death or BPD increased (25%, 37%, and 52%, respectively; P = 0.004). Moreover, infants with multiple pathologic lesions were more likely to have NDI (29%, 29%, and 46%, respectively; P = 0.03). After logistic regression, infants with multiple pathologic lesions were more likely to develop moderate-to-severe BPD [P < 0.01; OR 3.9 (1.5-10.1)] but not NDI. CONCLUSION(S): Neonates <29 weeks GA with multiple placental pathologic lesions have an increased risk for developing BPD, suggesting an interaction between placental inflammation and vascular pathology and the pathogenesis of BPD; however, the risk of NDI is not increased.

Physical education environment and student physical activity levels in low-income communities.

BACKGROUND: The purpose of this study was to examine the association of physical education (PE) class characteristics, such as lesson context, teacher's physical activity (PA) promotion behavior, and lesson location, with student engagement in moderate- and vigorous-intensity physical activity (MVPA) during PE lessons in elementary school (ES), middle school (MS), and high school (HS). METHODS: The study sample included 2106 PE classes from 40 schools located in low-income communities. The System for Observing Fitness Instruction Time (SOFIT) was used to assess lesson context, teacher's behavior, and student PA during PE lessons. Mixed models were used to examine the association between PE class characteristics and the probability of meeting the recommended level of MVPA during PE lessons (MVPA ≥50%), accounting for within-school random effects and school characteristics. RESULTS: Almost all PE classes (90%) with ≥60-70% of lesson time spent in motor content and ≥ 10-20% in teacher's in-class PA promotion met the recommended level of MVPA across the school levels. More specifically, among the sub-categories of motor content, more lesson time spent in fitness was significantly associated with MVPA ≥50% in all school levels. However, more lesson time spent in game play was a significant factor only in ES (OR = 2.1; 95% CI = 1.4-3.0). Outdoor lessons were a significant factor in ES (OR = 5.3; 95% CI = 3.1-9.0) and MS (OR = 21.0; 95% CI = 6.3-69.4), but not HS (OR = 1.4; 95% CI = 0.6, 3.2). CONCLUSIONS: PE lessons with higher motor content and higher teacher's in-class PA promotion are more likely to meet the recommended level of MVPA in all school levels. However, the sub-categories of motor content and lesson location could impact student MVPA differently by school levels.

Evaluation of Albumin 25% Use in Critically Ill Patients at a Tertiary Care Medical Center.

Background: Albumin 25% has been studied and has demonstrated benefit in a limited number of patient populations. The use of albumin 25% is associated with higher costs compared with crystalloid therapy. The aim of this study was to describe the prescribing practices of albumin 25% at a tertiary-care medical center and identify opportunities for restriction criteria related to its use to help generate cost savings. Methods: This evaluation was a retrospective, noninterventional, descriptive study of albumin 25% use between June 2015 and February 2016. Inclusion criteria consisted of patients ≥18 years old and who received at least one dose of albumin 25% while admitted to a Cleveland Clinic main campus intensive care unit (ICU). Inclusion was restricted to 150 randomly selected patients. Results: A total of 539 albumin 25% orders were placed for the 150 included patients. The cardiovascular ICU more frequently prescribed albumin 25% compared with the medical, surgical, neurosciences, and coronary ICUs (51% vs 23% vs 11% vs 9% vs 6%, respectively). Although the cardiovascular surgery ICU most frequently prescribed albumin 25% compared with other ICUs, the medical ICU prescribed a larger total quantity of albumin 25% compared with the cardiovascular, surgical, neurosciences, and coronary ICUs (8705 g vs 7275 g vs 3205 g vs 2162 g vs 625 g, respectively). The majority of patients (61%) did not have an indication listed for albumin 25% use and only 9% of patients were prescribed for indications supported by primary literature. Of the patients prescribed albumin for other indications not supported by primary literature (30%), the most common reasons for albumin 25% were hypotension, acute kidney injury, and volume resuscitation. The median cost per patient of albumin 25% was $417 with a total cost of $122 164 for the cohort. Only 19% of the total cost aligned with dosing regimens evaluated in primary literature. Conclusion: Prescribing patterns of albumin 25% at a tertiary academic medical center do not align with indications supported by primary literature. These findings identified a major opportunity for prescriber education and implementation of restriction criteria to target cost savings.