Presence of cerebral microbleeds is associated with worse executive function in pediatric brain tumor survivors.

BackgroundA specific form of small-vessel vasculopathy-cerebral microbleeds (CMBs)-has been linked to various types of dementia in adults. We assessed the incidence of CMBs and their association with neurocognitive function in pediatric brain tumor survivors.MethodsIn a multi-institutional cohort of 149 pediatric brain tumor patients who received cranial radiation therapy (CRT) between 1987 and 2014 at age <21 years and 16 patients who did not receive CRT, we determined the presence of CMBs on brain MRIs. Neurocognitive function was assessed using a computerized testing program (CogState). We used survival analysis to determine cumulative incidence of CMBs and Poisson regression to examine risk factors for CMBs. Linear regression models were used to assess effect of CMBs on neurocognitive function.ResultsThe cumulative incidence of CMBs was 48.8% (95% CI: 38.3-60.5) at 5 years. Children who had whole brain irradiation developed CMBs at a rate 4 times greater than those treated with focal irradiation (P < .001). In multivariable analysis, children with CMBs performed worse on the Groton Maze Learning test (GML) compared with those without CMBs (Z-score -1.9; 95% CI: -2.7, -1.1; P < .001), indicating worse executive function when CMBs are present. CMBs in the frontal lobe were associated with worse performance on the GML (Z-score -2.4; 95% CI: -2.9, -1.8; P < .001). Presence of CMBs in the temporal lobes affected verbal memory (Z-score -2.0; 95% CI: -3.3, -0.7; P = .005).ConclusionCMBs are common and associated with neurocognitive dysfunction in pediatric brain tumor survivors treated with radiation

Effect of Hydrocortisone on Mortality and Organ Support in Patients With Severe COVID-19: The REMAP-CAP COVID-19 Corticosteroid Domain Randomized Clinical Trial.

Importance: Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited. Objective: To determine whether hydrocortisone improves outcome for patients with severe COVID-19. Design, Setting, and Participants: An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin. Between March 9 and June 17, 2020, 614 adult patients with suspected or confirmed COVID-19 were enrolled and randomized within at least 1 domain following admission to an intensive care unit (ICU) for respiratory or cardiovascular organ support at 121 sites in 8 countries. Of these, 403 were randomized to open-label interventions within the corticosteroid domain. The domain was halted after results from another trial were released. Follow-up ended August 12, 2020. Interventions: The corticosteroid domain randomized participants to a fixed 7-day course of intravenous hydrocortisone (50 mg or 100 mg every 6 hours) (n = 143), a shock-dependent course (50 mg every 6 hours when shock was clinically evident) (n = 152), or no hydrocortisone (n = 108). Main Outcomes and Measures: The primary end point was organ support-free days (days alive and free of ICU-based respiratory or cardiovascular support) within 21 days, where patients who died were assigned -1 day. The primary analysis was a bayesian cumulative logistic model that included all patients enrolled with severe COVID-19, adjusting for age, sex, site, region, time, assignment to interventions within other domains, and domain and intervention eligibility. Superiority was defined as the posterior probability of an odds ratio greater than 1 (threshold for trial conclusion of superiority >99%). Results: After excluding 19 participants who withdrew consent, there were 384 patients (mean age, 60 years; 29% female) randomized to the fixed-dose (n = 137), shock-dependent (n = 146), and no (n = 101) hydrocortisone groups; 379 (99%) completed the study and were included in the analysis. The mean age for the 3 groups ranged between 59.5 and 60.4 years; most patients were male (range, 70.6%-71.5%); mean body mass index ranged between 29.7 and 30.9; and patients receiving mechanical ventilation ranged between 50.0% and 63.5%. For the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively, the median organ support-free days were 0 (IQR, -1 to 15), 0 (IQR, -1 to 13), and 0 (-1 to 11) days (composed of 30%, 26%, and 33% mortality rates and 11.5, 9.5, and 6 median organ support-free days among survivors). The median adjusted odds ratio and bayesian probability of superiority were 1.43 (95% credible interval, 0.91-2.27) and 93% for fixed-dose hydrocortisone, respectively, and were 1.22 (95% credible interval, 0.76-1.94) and 80% for shock-dependent hydrocortisone compared with no hydrocortisone. Serious adverse events were reported in 4 (3%), 5 (3%), and 1 (1%) patients in the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively. Conclusions and Relevance: Among patients with severe COVID-19, treatment with a 7-day fixed-dose course of hydrocortisone or shock-dependent dosing of hydrocortisone, compared with no hydrocortisone, resulted in 93% and 80% probabilities of superiority with regard to the odds of improvement in organ support-free days within 21 days. However, the trial was stopped early and no treatment strategy met prespecified criteria for statistical superiority, precluding definitive conclusions. Trial Registration: ClinicalTrials.gov Identifier: NCT02735707

Harnessing the NEON data revolution to advance open environmental science with a diverse and data-capable community

It is a critical time to reflect on the National Ecological Observatory Network (NEON) science to date as well as envision what research can be done right now with NEON (and other) data and what training is needed to enable a diverse user community. NEON became fully operational in May 2019 and has pivoted from planning and construction to operation and maintenance. In this overview, the history of and foundational thinking around NEON are discussed. A framework of open science is described with a discussion of how NEON can be situated as part of a larger data constellation—across existing networks and different suites of ecological measurements and sensors. Next, a synthesis of early NEON science, based on >100 existing publications, funded proposal efforts, and emergent science at the very first NEON Science Summit (hosted by Earth Lab at the University of Colorado Boulder in October 2019) is provided. Key questions that the ecology community will address with NEON data in the next 10 yr are outlined, from understanding drivers of biodiversity across spatial and temporal scales to defining complex feedback mechanisms in human–environmental systems. Last, the essential elements needed to engage and support a diverse and inclusive NEON user community are highlighted: training resources and tools that are openly available, funding for broad community engagement initiatives, and a mechanism to share and advertise those opportunities. NEON users require both the skills to work with NEON data and the ecological or environmental science domain knowledge to understand and interpret them. This paper synthesizes early directions in the community’s use of NEON data, and opportunities for the next 10 yr of NEON operations in emergent science themes, open science best practices, education and training, and community building

The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts

Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems – www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015

Effect of angiotensin-converting enzyme inhibitor and angiotensin receptor blocker initiation on organ support-free days in patients hospitalized with COVID-19

IMPORTANCE Overactivation of the renin-angiotensin system (RAS) may contribute to poor clinical outcomes in patients with COVID-19. Objective To determine whether angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) initiation improves outcomes in patients hospitalized for COVID-19. DESIGN, SETTING, AND PARTICIPANTS In an ongoing, adaptive platform randomized clinical trial, 721 critically ill and 58 non–critically ill hospitalized adults were randomized to receive an RAS inhibitor or control between March 16, 2021, and February 25, 2022, at 69 sites in 7 countries (final follow-up on June 1, 2022). INTERVENTIONS Patients were randomized to receive open-label initiation of an ACE inhibitor (n = 257), ARB (n = 248), ARB in combination with DMX-200 (a chemokine receptor-2 inhibitor; n = 10), or no RAS inhibitor (control; n = 264) for up to 10 days. MAIN OUTCOMES AND MEASURES The primary outcome was organ support–free days, a composite of hospital survival and days alive without cardiovascular or respiratory organ support through 21 days. The primary analysis was a bayesian cumulative logistic model. Odds ratios (ORs) greater than 1 represent improved outcomes. RESULTS On February 25, 2022, enrollment was discontinued due to safety concerns. Among 679 critically ill patients with available primary outcome data, the median age was 56 years and 239 participants (35.2%) were women. Median (IQR) organ support–free days among critically ill patients was 10 (–1 to 16) in the ACE inhibitor group (n = 231), 8 (–1 to 17) in the ARB group (n = 217), and 12 (0 to 17) in the control group (n = 231) (median adjusted odds ratios of 0.77 [95% bayesian credible interval, 0.58-1.06] for improvement for ACE inhibitor and 0.76 [95% credible interval, 0.56-1.05] for ARB compared with control). The posterior probabilities that ACE inhibitors and ARBs worsened organ support–free days compared with control were 94.9% and 95.4%, respectively. Hospital survival occurred in 166 of 231 critically ill participants (71.9%) in the ACE inhibitor group, 152 of 217 (70.0%) in the ARB group, and 182 of 231 (78.8%) in the control group (posterior probabilities that ACE inhibitor and ARB worsened hospital survival compared with control were 95.3% and 98.1%, respectively). CONCLUSIONS AND RELEVANCE In this trial, among critically ill adults with COVID-19, initiation of an ACE inhibitor or ARB did not improve, and likely worsened, clinical outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT0273570

Survival outcomes in pediatric recurrent high-grade glioma: results of a 20-year systematic review and meta-analysis.

Recurrent pediatric high-grade glioma is a leading cause of cancer-related death in children. We report results of a systematic review and meta-analysis investigating survival outcome in pediatric patients with recurrent high-grade glioma over the last 20 years. MEDLINE/PubMed, EMBASE, Web of Science and Cochrane Review databases were searched for relevant studies reporting on survival outcomes for pediatric patients with recurrent high-grade glioma treated between 1996 and 2016. Progression-free survival (PFS) and overall survival (OS) were calculated cumulatively over all studies, by therapy subgroup, and by decade of treatment. Random effects models were used to control for heterogeneity as measured by the I2 statistic. A total of 17 studies across 4 treatment strategies were included. Eleven investigated traditional chemotherapy, 1 investigated targeted therapy, 3 investigated immunotherapy, and 2 investigated radiotherapy. A total of 129 patients were included with a median age of 10.0 years. Cumulative PFS was 3.5 months (95% CI 2.1-5.0). Cumulative OS was 5.6 months (95% CI 3.9-7.3). OS was 4.0 months (95% CI 1.9-6.1) using traditional chemotherapy, 9.3 months using targeted therapies (95% CI 5.4-13), 6.9 months using immunotherapy (95% CI 2.1-12), and 14 months using reirradiation (95% CI 2.8-25). OS between 1996 and 2006 was 4.2 months (95% CI 2.1-6.2) compared to 8.5 months (95% CI 5.6-11) after 2006. Pediatric patients with recurrent high-grade glioma suffer from poor PFS and OS, regardless of therapy. There may be a trend towards improved OS in the last decade

NCOG-20. GENETIC MARKERS AND CLINICAL CHARACTERISTICS RELATED TO NEUROCOGNITIVE OUTCOMES OF PEDIATRIC BRAIN TUMOR PATIENTS

Abstract Pediatric brain tumors affect more than 50,000 children in the US with nearly 5,000 new diagnoses annually. Although neurocognitive outcomes for this population show lower scores when compared to population means, there is great variability among individuals. In the current study, we aim to investigate the impact of cognition-related genes, KLOTHO, ApoE4, BDNF, COMT, and KIBRA, on neurocognitive outcomes in pediatric brain tumor patients. Utilizing an existing cohort of pediatric brain tumor patients from a diverse brain tumor population, we performed single nucleotide polymorphism (SNP) genotyping for KLOTHO, ApoE4, BDNF, COMT, and KIBRA. Neurocognitive evaluations were completed for these same patients at baseline and follow-up intervals, using validated, computer-based CogState batteries. Mixed modeling was done to correlate individual SNPs with neurocognitive outcomes over time, adjusting a priori for time from radiation, age at diagnosis, hydrocephalus, seizures, chemotherapy/radiation exposure, sex, tumor type, and tumor location. Lowess smoothing regression was done to assess the impact of individual genes SNPs on neurocognition. Ninety-seven patients were included in the analyses (54 males; median age at diagnosis 7 years). Medulloblastoma was the most frequent diagnosis (29%). Time from radiation, hydrocephalus at diagnosis, and seizures at diagnosis most consistently impacted neurocognition across neurocognitive test batteries (as based on statistical significance at p-value<0.05 across gene SNPs and testing batteries). Using smoothing regression, ApoE4 carrier status consistently negatively impacted neurocognitive function over time, as seen by decreasing neurocognitive scores over time across all batteries. Time from radiation and hydrocephalus and/or seizures at diagnosis illustrated statistically significant impacts on neurocognitive outcomes of pediatric brain tumor patients. KLOTHO, BDNF, COMT, and KIBRA did not appear to impact neurocognition; however, ApoE4 warrants further investigation as a possible predictor of neurocognitive outcomes. Our study highlights factors that may be of importance in anticipatory guidance and potentially, treatment-planning for children with brain tumors

Analysis of naloxone access and primary medication nonadherence in a community pharmacy setting

Background: Access to naloxone is a primary public health strategy to prevent opioid overdose death. Factors associated with primary medication nonadherence (PMN) to naloxone are underreported in the literature. Objective: The objective of this study was to evaluate naloxone dispensing trends and PMN in a community pharmacy setting. Methods: This retrospective analysis included patients of a community pharmacy chain in Maine and New Hampshire (57 and 29 pharmacy locations, respectively) for whom a claim for a naloxone prescription was billed between January 1, 2019, and July 31, 2020. Results: A total of 2152 patients associated with 2606 naloxone claims were identified for analysis. A majority of the subjects were women (52.7%) and the mean age of all the subjects was 46.4 ± 16.0 years. Of the 2606 naloxone claims, 565 prescriptions were returned to stock and never dispensed to the patient for a PMN rate of 21.7%. Gender and age were not associated with naloxone PMN. Factors associated with naloxone PMN were urban location [x2(1) = 12.49, P = 0.0004], concomitant opioid analgesic [x2(1) = 4.56, P = 0.0328], and payment method [x2(4) = 251.07, P \u3c 0.0001]. Regarding payment method, nonadherence was higher among cash (138 of 386, 35.8%) and private insurance (191 of 455, 42.0%) transactions whereas lower among Medicare (132 of 681, 19.4%) and Medicaid (89 of 899, 9.9%) transactions. Concomitant buprenorphine [x2(1) = 44.57, P \u3c 0.0001] and the use of a naloxone standing order [x2(1) = 4.79, P = 0.0162] were associated with primary adherence to take-home naloxone. Conclusion: A notable portion of naloxone prescribed and filled in the community pharmacy setting was never obtained by the patient. Factors associated with PMN in this study included geographic location, use of a standing order, concomitant prescriptions for buprenorphine or opioid analgesic medications, and payment method. Underlying causes of PMN must be addressed (e.g., removing financial barriers and optimizing the use of standing orders) to increase naloxone access for persons at risk of opioid overdose

Inflammation in children with cystic fibrosis: contribution of bacterial production of long-chain fatty acids.

BACKGROUND: Cystic fibrosis (CF) affects >70,000 people worldwide, yet the microbiologic trigger for pulmonary exacerbations (PExs) remains unknown. The objective of this study was to identify changes in bacterial metabolic pathways associated with clinical status. METHODS: Respiratory samples were collected at hospital admission for PEx, end of intravenous (IV) antibiotic treatment, and follow-up from 27 hospitalized children with CF. Bacterial DNA was extracted and shotgun DNA sequencing was performed. MetaPhlAn2 and HUMAnN2 were used to evaluate bacterial taxonomic and pathway relative abundance, while DESeq2 was used to evaluate differential abundance based on clinical status. RESULTS: The mean age of study participants was 10 years; 85% received combination IV antibiotic therapy (beta-lactam plus a second agent). Long-chain fatty acid (LCFA) biosynthesis pathways were upregulated in follow-up samples compared to end of treatment: gondoate (p = 0.012), oleate (p = 0.048), palmitoleate (p = 0.043), and pathways of fatty acid elongation (p = 0.012). Achromobacter xylosoxidans and Escherichia sp. were also more prevalent in follow-up compared to PEx (p < 0.001). CONCLUSIONS: LCFAs may be associated with persistent infection of opportunistic pathogens. Future studies should more closely investigate the role of LCFA production by lung bacteria in the transition from baseline wellness to PEx in persons with CF. IMPACT: Increased levels of LCFAs are found after IV antibiotic treatment in persons with CF. LCFAs have previously been associated with increased lung inflammation in asthma. This is the first report of LCFAs in the airway of persons with CF. This research provides support that bacterial production of LCFAs may be a contributor to inflammation in persons with CF. Future studies should evaluate LCFAs as predictors of future PExs

QOL-47. ApoE4 AS A GENETIC PREDICTOR FOR NEUROCOGNITIVE OUTCOMES IN PEDIATRIC BRAIN TUMOR SURVIVORS

Abstract Long-term neurocognitive deficits in pediatric brain tumor survivors are challenging to both predict and treat. In a previous cohort analysis, we identified the genetic variant for ApoE4 reliably correlates with decreased neurocognitive function over time. Herein, we present case-control analyses comparing neurocognitive outcomes of ApoE4 carriers versus non-carriers in a group of pediatric brain tumor survivors. Utilizing an existing cohort of pediatric brain tumor patients from a diverse population, we isolated cases heterozygous for ApoE4 and matched these to controls carrying ApoE3. Priority was placed on matching cases and controls along variables previously identified to impact neurocognition – time from radiation and hydrocephalus or seizures at diagnosis. Student t-tests and lowess smoothing regression were used to compare outcomes in 6 neurocognitive domains over multiple time points. Twenty matched cases and controls were included in the analyses. At baseline, there were no statistically significant differences between cases and controls in any domain. Over time, ApoE3 controls performed statistically significantly higher across an increasing number of neurocognitive domains than ApoE4 carriers. Using smoothing regression, cases visibly performed worse over time as compared to controls and as seen by decreasing neurocognitive scores across all domains. ApoE4 carrier status strongly correlates with neurocognition function over time in pediatric brain tumor survivors. This effect appears across multiple domains and may show evidence of progressive deterioration with each year from treatment. Our results identify ApoE4 as a possible genetic predictor for neurocognitive outcomes in pediatric brain tumor survivors and support further investigation of this genetic variant