Association of microbiological factors with mortality in Escherichia coli bacteraemia presenting with sepsis/septic shock: A prospective cohort study.

OBJECTIVES: This study aimed to determine the association of E. coli microbiological factors with 30-day mortality in BSI patients presenting with a dysregulated response to infection (i.e., sepsis or septic shock). METHODS: Whole genome sequencing was performed on 224 E. coli isolates of patients with sepsis/septic shock, from 22 Spanish hospitals. Phylogroup, sequence type, virulence, antibiotic resistance and pathogenicity islands were assessed. A multivariable model for 30-day mortality including clinical and epidemiological variables was built, to which microbiological variables were hierarchically added. The predictive capacity of the models was estimated by the area under the receiver operating characteristic curve (AUROC) with 95% confidence intervals (CI). RESULTS: Mortality at day 30 was 31% (69 patients). The clinical model for mortality included (adjusted OR; 95% CI) age (1.04; 1.02-1.07), Charlson index ≥3 (1.78; 0.95-3.32), urinary BSI source (0.30; 0.16-0.57) and active empirical treatment (0.36; 0.11-1.14) with an AUROC of 0.73 (95% CI, 0.67-0.80). Addition of microbiological factors selected clone ST95 (3.64; 0.94-14.04), eilA gene (2.62; 1.14-6.02) and astA gene (2.39; 0.87-6.59) as associated with mortality, with an AUROC of 0.76 (0.69-0.82). CONCLUSIONS: Despite having a modest overall contribution, some microbiological factors were associated with increased odds of death and would deserve being studied as potential therapeutic or preventive targets.

Drug Shortages Prior to and During the COVID-19 Pandemic.

Importance: Drug shortages are a chronic and worsening issue that compromises patient safety. Despite the destabilizing impact of the COVID-19 pandemic on pharmaceutical production, it remains unclear whether issues affecting the drug supply chain were more likely to result in meaningful shortages during the pandemic. Objective: To estimate the proportion of supply chain issue reports associated with drug shortages overall and with the COVID-19 pandemic. Design, Setting, and Participants: This longitudinal cross-sectional study used data from the IQVIA Multinational Integrated Data Analysis database, comprising more than 85% of drug purchases by US pharmacies from wholesalers and manufacturers, from 2017 to 2021. Data were analyzed from January to May 2023. Exposure: Presence of a supply chain issue report to the US Food and Drug Administration or the American Society of Health-Systems Pharmacists (ASHP). Main Outcomes and Measures: The main outcome was drug shortage, defined as at least 33% decrease in units purchased within 6 months of a supply chain issue report. Random-effects logistic regression models compared the marginal odds of shortages for drugs with vs without reports. Interaction terms assessed heterogeneity prior to vs during the COVID-19 pandemic and by drug characteristics (formulation, age, essential medicine status, clinician- vs self-administered, sales volume, and number of manufacturers). Results: A total of 571 drugs exposed to 731 supply chain issue reports were matched to 7296 comparison medications with no reports. After adjusting for drug characteristics, 13.7% (95% CI, 10.4%-17.8%) of supply chain issue reports were associated with subsequent drug shortages vs 4.1% (95% CI, 3.6%-4.8%) of comparators (marginal odds ratio [mOR], 3.7 [95% CI, 2.6-5.1]). Shortages increased among both drugs with and without reports in February to April 2020 (34.2% of drugs with supply chain issue reports and 9.5% of comparison drugs; mOR, 4.9 [95% CI, 2.1-11.6]), and then decreased after May 2020 (9.8% of drugs with reports and 3.6% of comparison drugs; mOR, 2.9 [95% CI, 1.6-5.3]). Significant associations were identified by formulation (parenteral mOR, 1.9 [95% CI, 1.1-3.2] vs oral mOR, 5.4 [95% CI, 3.3-8.8]; P for interaction = .008), WHO essential medicine status (essential mOR, 2.2 [95% CI, 1.3-5.2] vs nonessential mOR, 4.6 [95% CI, 3.2-6.7]; P = .02), and for brand-name vs generic status (brand-name mOR, 8.1 [95% CI, 4.0-16.0] vs generic mOR, 2.4 [95% CI, 1.7-3.6]; P = .002). Conclusions and Relevance: In this national cross-sectional study, supply chain issues associated with drug shortages increased at the beginning of the COVID-19 pandemic. Ongoing policy work is needed to protect US drug supplies from future shocks and to prioritize clinically valuable drugs at greatest shortage risk.

Activity of cefiderocol and innovative ß-lactam/ß-lactamase inhibitor combinations against isogenic strains of Escherichia coli expressing single and double ß-lactamases under high and low permeability conditions.

OBJECTIVES: To analyse the impact of the most clinically relevant ß-lactamases and their interplay with low outer membrane permeability on the activity of cefiderocol, ceftazidime/avibactam, aztreonam/avibactam, cefepime/enmetazobactam, cefepime/taniborbactam, cefepime/zidebactam, imipenem/relebactam, meropenem/vaborbactam, meropenem/xeruborbactam and meropenem/nacubactam against recombinant Escherichia coli strains. METHODS: We constructed 82 E. coli laboratory transformants expressing the main ß-lactamases circulating in Enterobacterales (70 expressing single ß-lactamase and 12 producing double carbapenemase) under high (E. coli TG1) and low (E. coli HB4) permeability conditions. Antimicrobial susceptibility testing was determined by reference broth microdilution. RESULTS: Aztreonam/avibactam, cefepime/zidebactam, cefiderocol, meropenem/xeruborbactam and meropenem/nacubactam were active against all E. coli TG1 transformants. Imipenem/relebactam, meropenem/vaborbactam, cefepime/taniborbactam and cefepime/enmetazobactam were also highly active, but unstable against most of MBL-producing transformants. Combination of ß-lactamases with porin deficiency (E. coli HB4) did not significantly affect the activity of aztreonam/avibactam, cefepime/zidebactam, cefiderocol or meropenem/nacubactam, but limited the effectiveness of the rest of carbapenem- and cefepime-based combinations. Double-carbapenemase production resulted in the loss of activity of most of the compounds tested, an effect particularly evident for those E. coli HB4 transformants in which MBLs were present. CONCLUSIONS: Our findings highlight the promising activity that cefiderocol and new ß-lactam/ß-lactamase inhibitors have against recombinant E. coli strains expressing widespread ß-lactamases, including when these are combined with low permeability or other enzymes. Aztreonam/avibactam, cefiderocol, cefepime/zidebactam and meropenem/nacubactam will help to mitigate to some extent the urgency of new compounds able to resist MBL action, although NDM enzymes represent a growing challenge against which drug development efforts are still needed.

Effects of the valsartan recall on heart failure patients: A nationwide analysis.

BACKGROUND: Valsartan is commonly used for cardiac conditions. In 2018, the Food and Drug Administration recalled generic valsartan due to the detection of impurities. Our objective was to determine if heart failure patients receiving valsartan at the recall date had a greater likelihood of unfavorable outcomes than patients using comparable antihypertensives. METHODS: We conducted a cohort study of Optum's de-identified Clinformatics® Datamart (July 2017-January 2019). Heart failure patients with commercial or Medicare Advantage insurance who received valsartan were compared to persons who received non-recalled angiotensin receptor blockers (ARBs) and angiotensin converting enzyme-inhibitors (ACE-Is) for 1 year prior and including the recall date. Outcomes included a composite for all-cause hospitalization, emergency department (ED), and urgent care (UC) use and a measure of cardiac events which included hospitalizations for acute myocardial infarction and hospitalizations/ED/UC visits for stroke/transient ischemic attack, heart failure or hypertension at 6-months post-recall. Cox proportional hazard models with propensity score weighting compared the risk of outcomes between groups. RESULTS: Of the 87 130 adherent patients, 15% were valsartan users and 85% were users of non-recalled ARBs/ACE-Is. Valsartan use was not associated with an increased risk of all-cause hospitalization/ED/UC use six-months post-recall (HR 1.00; 95% CI 0.96-1.03), compared with individuals taking non-recalled ARBs/ACE-Is. Similarly, cardiac events 6-months post-recall did not differ between individuals on valsartan and non-recalled ARBs/ACE-Is (HR 1.04; 95% CI 0.97-1.12). CONCLUSIONS: The valsartan recall did not affect short-term outcomes of heart failure patients. However, the recall potentially disrupted the medication regimens of patients, possibly straining the healthcare system.

Whole-genome characterisation of Escherichia coli isolates from patients with bacteraemia presenting with sepsis or septic shock in Spain: a multicentre cross-sectional study.

BACKGROUND: Escherichia coli is the most frequent cause of bloodstream infections (BSIs). About one-third of patients with BSIs due to E coli develop sepsis or shock. The objective of this study is to characterise the microbiological features of E coli blood isolates causing sepsis or septic shock to provide exploratory information for future diagnostic, preventive, or therapeutic interventions. METHODS: E coli blood isolates from a multicentre cross-sectional study of patients older than 14 years presenting with sepsis or septic shock (according to the Third International Consensus Definitions for Sepsis and Septic Shock criteria) from hospitals in Spain between Oct 4, 2016, and Oct 15, 2017, were studied by whole-genome sequencing. Phylogroups, sequence types (STs), serotype, FimH types, antimicrobial resistance (AMR) genes, pathogenicity islands, and virulence factors were identified. Susceptibility testing was performed by broth microdilution. The main outcome of this study was the characterisation of the E coli blood isolates in terms of population structure by phylogroups, groups (group 1: phylogroups B2, F, and G; group 2: A, B1, and C; group 3: D), and STs and distribution by geographical location and bloodstream infection source. Other outcomes were virulence score and prevalence of virulence-associated genes, pathogenicity islands, AMR, and AMR-associated genes. Frequencies were compared using χ² or Fisher's exact tests, and continuous variables using the Mann-Whitney test, with Bonferroni correction for multiple comparisons. FINDINGS: We analysed 224 isolates: 140 isolates (63%) were included in phylogenetic group 1, 52 (23%) in group 2, and 32 (14%) in group 3. 85 STs were identified, with four comprising 44% (n=98) of the isolates: ST131 (38 [17%]), ST73 (25 [11%]), ST69 (23 [10%]), and ST95 (12 [5%]). No significant differences in phylogroup or ST distribution were found according to geographical areas or source of bloodstream infection, except for ST95, which was more frequent in urinary tract infections than in other sources (11 [9%] of 116 vs 1 [1%] of 108, p=0·0045). Median virulence score was higher in group 1 (median 25·0 [IQR 20·5-29·0) than in group 2 (median 14·5 [9·0-20·0]; p<0·0001) and group 3 (median 21 [16·5-23·0]; p<0·0001); prevalence of several pathogenicity islands was higher in group 1. No significant differences were found between phylogenetic groups in proportions of resistance to antibiotics. ST73 had higher median virulence score (32 [IQR 29-35]) than the other predominant clones (median range 21-28). Some virulence genes and pathogenicity islands were significantly associated with each ST. ST131 isolates had higher prevalence of AMR and a higher proportion of AMR genes, notably blaCTX-M-15 and blaOXA-1. INTERPRETATION: In this exploratory study, the population structure of E coli causing sepsis or shock was similar to previous studies that included all bacteraemic isolates. Virulence genes, pathogenicity islands, and AMR genes were not randomly distributed among phylogroups or STs. These results provide a comprehensive characterisation of invasive E coli isolates causing severe response syndrome. Future studies are required to determine the contribution of these microbiological factors to severe clinical presentation and worse outcomes in patients with E coli bloodstream infection. FUNDING: Instituto de Salud Carlos III.

Net prices of new antiobesity medications.

OBJECTIVE: Glucagon-like peptide-1 receptor agonists (GLP1s) are effective antiobesity drugs and the subject of intense debate around insurance coverage due to the large prevalence of obesity and overweight. The estimation of the budget impact associated with GLP1 insurance coverage requires estimates of GLP1 prices that account for manufacturer discounts. The authors applied a peer-reviewed method to estimate the net prices of GLP1s after manufacturer discounts. METHODS: The authors estimated manufacturer discounts for each product as the difference between the gross sales estimated at list price and manufacturer-reported revenue. From this difference, the authors subtracted discounts to government programs, including 340B, Medicaid, and the Medicare Part D coverage gap, and attributed the remaining amount to manufacturer discounts provided in the commercial market. RESULTS: Manufacturer discounts for GLP1s approved for obesity were estimated at 41%, which translated into net prices of $717 to $761 per month of supply. Manufacturer discounts for GLP1s approved for type 2 diabetes ranged from 54% to 59%, which translated into net prices of $312 to $469 per month of supply. CONCLUSIONS: The magnitude of manufacturer discounts underscores the need to consider net price information in studies that inform private and public payers' decision-making around coverage of GLP1s for obesity.

Medicare Part D Coverage of Anti-obesity Medications: a Call for Forward-Looking Policy Reform.

When the Medicare Part D benefit was constructed, drugs for weight loss were explicitly excluded from coverage, as the limited effectiveness and unfavorable safety profile of medications available at the time failed to justify coverage of drugs perceived to be used for cosmetic purposes. In recent years, drugs activating the glucagon-like peptide-1 receptor (GLP-1R) pathway have proved to achieve significant reductions in body weight with a favorable safety profile. The effectiveness of GLP-1R agonists in reducing weight and improving the metabolic profile warrants the reconsideration of the historical exclusion of weight loss drugs from Part D coverage. In this perspective, we outline policy options to enable Part D coverage of GLP-1R agonists. These include legislative change through the passage of the Treat and Reduce Obesity Act and evaluation of coverage policies under the waiver authority of the Center for Medicare and Medicaid Innovation.

Medicare drug price negotiation: The complexities of selecting therapeutic alternatives for estimating comparative effectiveness.

Under the 2022 Inflation Reduction Act, the Centers for Medicare and Medicaid Services (CMS) are able to negotiate prices for topselling drugs in the Medicare Part B and D programs. In determining initial price offers, CMS will compare the prices and clinical benefits of the drugs subject to negotiation to the prices and clinical benefits of therapeutic alternatives. Despite the central role that the selection of therapeutic alternatives will play in the price negotiations, the available guidance published by CMS provides few details about how the organization will undertake this process, which will be particularly complex for drugs approved for more than one indication. To better inform the selection process, we identified all US Food and Drug Administration-approved indications for the first 10 drugs subject to negotiation. Using 2020-2021 Medicare claims data, we identified Medicare Part D beneficiaries using each of the 10 drugs. We extracted medical claims with diagnosis codes for each of the approved indications to report the relative treated prevalence of use by indication for each drug. We reviewed published clinical guidelines to identify relevant therapeutic alternatives for each of the indications. We integrated the evidence on the relative treated prevalence of indications and clinical guidelines to propose therapeutic alternatives for each of the 10 drugs. We describe challenges that CMS may face in selecting therapeutic alternatives.

A primer on brand-name prescription drug reimbursement in the United States.

Branded prescription drug reimbursement in the United States is complex and comprises multiple transactions among the parties involved in the drug supply chain, including manufacturers, wholesalers, pharmacies, health care providers, health plans or insurers, pharmacy benefit managers, and patients. This primer provides an overview of the parties involved in the reimbursement of brand-name drugs under both the pharmacy and medical benefits of an insurance policy and the flow of products and payments among them. Prescription drug spending in the United States grew from $30 billion in 1980 to $335 billion in 2018, and 80% of spending is on brand-name drugs.1,2 Pharmaceutical spending and drug prices have been the focus of intense debate in recent years, which has brought attention to the complexity of the drug supply chain. This primer provides a high-level overview of the distribution and reimbursement of brand-name drugs (italicized words are defined in the Glossary) used in the outpatient setting and covered by health plans or insurers in the United States. The focus is on the parties involved and the flow of products and payments among them. The purchase of drug products outside of insurance and differences in drug reimbursement between private and public insurers are outside of the scope of this primer.

A Retrospective Cohort Study of the 2018 Angiotensin Receptor Blocker Recalls and Subsequent Drug Shortages in Patients With Hypertension.

BACKGROUND: Valsartan was recalled by the US Food and Drug Administration in July 2018 for carcinogenic impurities, resulting in a drug shortage and management challenges for valsartan users. The influence of the valsartan recall on clinical outcomes is unknown. We compared the risk of adverse events between hypertensive patients using valsartan and a propensity score-matched group using nonrecalled angiotensin receptor blockers and angiotensin-converting enzyme inhibitors. METHODS AND RESULTS: We used Optum's deidentified Clinformatics Datamart (July 2017-January 2019). Hypertensive patients who received valsartan or nonrecalled angiotensin receptor blockers/angiotensin-converting enzyme inhibitors for 1 year before and on the recall date were compared. Primary outcomes were measured in the 6 months following the recall and included: (1) a composite measure of all-cause hospitalization, all-cause emergency department visit, and all-cause urgent care visit, and (2) a composite cardiac event measure of hospitalizations for acute myocardial infarction and hospitalizations/emergency department visits/urgent care visits for stroke/transient ischemic attack, heart failure, or hypertension. We compared the risk of outcomes between treatment groups using Cox proportional hazard models. Of the hypertensive patients, 76 934 received valsartan, and 509 472 received a nonrecalled angiotensin receptor blocker/angiotensin-converting enzyme inhibitor. Valsartan use at the time of recall was associated with a higher risk of all-cause hospitalization, emergency department use, or urgent care use (hazard ratio [HR], 1.02 [95% CI, 1.00-1.04]) and the composite of cardiac events (HR, 1.22 [95% CI, 1.15-1.29]) within 6 months after the recall. CONCLUSIONS: The valsartan recall and shortage affected hypertensive patients. Local- and national-level systems need to be enhanced to protect patients from drug shortages by providing safe and reliable medication alternatives.

Reimbursement to Pharmacies for Generic Drugs by Medicare Part D Sponsors.

This study evaluates whether organizations that offer Medicare Part D plans (referred to as Part D sponsors) overpay pharmacies for generic drugs.

COVID-19 pandemic and initiation of treatment for atrial fibrillation: a nationwide analysis of claims data.

BACKGROUND: The COVID-19 pandemic profoundly disrupted the delivery of medical care. It remains unclear whether individuals diagnosed with new onset disease during the pandemic were less likely to initiate treatments after diagnosis. We sought to evaluate changes in the treatment initiation of patients newly diagnosed with atrial fibrillation (AF) after the onset of the COVID-19 pandemic. METHODS: In this retrospective cohort study, we identified individuals with incident AF from 01/01/2016-09/30/2021 using Optum's de-identified Clinformatics® Data Mart Database. The primary outcome was initiation of oral anticoagulation (OAC) within 30 days of AF diagnosis. Secondary outcomes included initiation of OAC within 180 days of diagnosis, initiation of warfarin, direct oral anticoagulants (DOACs), rhythm control medications and electrical cardioversion within 30 days of diagnosis. We constructed interrupted time series analyses to examine changes in the outcomes following the onset of the pandemic. RESULTS: A total of 573,524 patients (age 73.0 ± 10.9 years) were included in the study. There were no significant changes in the initiation of OAC, DOAC, and rhythm control medications associated with the onset of the pandemic. There was a significant decrease in initiation of electrical cardioversion associated with the onset of the pandemic. The rate of electronic cardioversion within 30 days of diagnosis decreased by 4.9% per 1,000 patients after the onset of the pandemic and decreased by about 35% in April 2020, compared to April 2019, from 5.53% to 3.58%. CONCLUSION: The COVID-19 pandemic did not affect the OAC initiation within 30 days of AF diagnosis but was associated with a decline in the provision of procedures for patients newly diagnosed with AF.

Trends in Proportion of Medicare Part D Claims Subject to 340B Discounts, 2013-2020.

Importance: Despite controversy surrounding the 340B program, no study has analyzed trends in the proportion of Medicare Part D pharmacy claims eligible for 340B discounts. Objective: To describe trends in the proportion of Medicare Part D claims that are prescribed by 340B-affiliated clinicians and filled in 340B pharmacies. Design and Setting: This longitudinal, retrospective cohort study included 2013 to 2020 claims data from a 5% random sample of Medicare Part D beneficiaries from the Centers for Medicare & Medicaid Services and 6292 nine-digit national drug codes that were used by at least 1000 Part D beneficiaries in a given year. Data analysis was completed from November 2022 to April 2023. Main Outcomes and Measures: For each drug and year, there were 3 outcomes: (1) proportion of total Part D claims that were prescribed by a 340B-affiliated clinician; (2) proportion of claims prescribed by a 340B-affiliated clinician that were filled in a 340B pharmacy; and (3) proportion of total Part D claims under the 340B program (ie, prescribed by a 340B-affiliated clinician and filled in a 340B pharmacy). Results: The proportion of prescriptions written by a 340B-affiliated clinician doubled from 9.4% in 2013 to 19.3% in 2020. The capture of 340B prescriptions by 340B pharmacies, defined as the proportion of claims prescribed by 340B-affiliated clinicians that were filled by 340B pharmacies, increased from 18.4% in 2013 to 49.9% in 2020. As a result, the total proportion of 340B claims in Part D increased from 1.7% in 2013 to 9.6% in 2020. Rates of 340B prescribing and capture increased consistently across therapeutic classes. In 2020, the antiviral therapeutic class was the class with the largest proportion of 340B claims (16.1%), followed by targeted antineoplastics (15.7%). Conclusions and Relevance: This cohort study demonstrated that from 2013 to 2020, the share of Medicare Part D claims prescribed by a 340B-affiliated clinician increased; however, the rate at which 340B-eligible prescriptions were filled at 340B pharmacies increased at a faster rate, driving the overall increase in 340B claims. Despite these trends, only half of 340B-eligible prescriptions were subject to the 340B discount in 2020.

Nonfederal average manufacturer price to estimate savings generated by minimum discounts under the Inflation Reduction Act.

DISCLOSURES: This work was funded by the West Health Policy Center. Dr Hernandez reports consulting fees from Pfizer and BMS, outside of the submitted work. Following the submission of the original manuscript, Dr Dickson became an employee of AHIP. AHIP has had no role in reviewing this letter. The statements, findings, conclusions, views, and opinions contained and expressed herein are not necessarily those of IQVIA Inc. or any of its affiliated or subsidiary entities.

Individual and social determinants of adherence to sodium-glucose cotransporter 2 inhibitor therapy: A trajectory analysis.

BACKGROUND: Sodium-glucose cotransporter 2 inhibitors (SGLT2is) are known to improve cardiovascular and renal outcomes in patients with type 2 diabetes (T2D). Understanding the longitudinal patterns of adherence and the associated predictors is critical to addressing the suboptimal use of this outcome-improving treatment. OBJECTIVE: To characterize the distinct trajectories of adherence to SGLT2is in patients with T2D and to identify patient characteristics and social determinants of health (SDOHs) associated with SGLT2i adherence. METHODS: In this retrospective cohort study, we identified patients with T2D who initiated and filled at least 1 SGLT2i prescription according to 2012-2016 national Medicare claims data. The monthly proportion of days covered with SGLT2is for each patient was incorporated into group-based trajectory models to identify groups with similar adherence patterns. A multinomial logistic regression model was constructed to examine the association between patient characteristics and group membership. In addition, the association between context-specific SDOHs (eg, neighborhood median income and neighborhood employment rate) and adherence to an SGLT2i regimen was explored in both the overall cohort and the racial and ethnic subgroups. RESULTS: The final sample comprised 6,719 patients with T2D. Four trajectories of SGLT2i adherence were identified: continuously adherent users (49.6%), early discontinuers (27.5%), late discontinuers (14.5%), and intermediately adherent users (8.4%). Patient age, sex, race, diabetes duration, and Medicaid eligibility were significantly associated with trajectory group membership. Areas with a higher unemployment rate, lower income level, lower high school education rate, worse nutrition environment, fewer health care facilities, and greater Area Deprivation Index scores were found to be associated with low adherence to SGLT2is. CONCLUSIONS: Four distinct trajectories of adherence to SGLT2is were identified, with only half of the patients remaining continuously adherent to their treatment regimen during the first year after initiation. Several contextual SDOHs were associated with suboptimal adherence to SGLT2is.

Tumor heterogeneity and tumor-microglia interactions in primary and recurrent IDH1-mutant gliomas.

The isocitrate dehydrogenase (IDH) gene is recurrently mutated in adult diffuse gliomas. IDH-mutant gliomas are categorized into oligodendrogliomas and astrocytomas, each with unique pathological features. Here, we use single-nucleus RNA and ATAC sequencing to compare the molecular heterogeneity of these glioma subtypes. In addition to astrocyte-like, oligodendrocyte progenitor-like, and cycling tumor subpopulations, a tumor population enriched for ribosomal genes and translation elongation factors is primarily present in oligodendrogliomas. Longitudinal analysis of astrocytomas indicates that the proportion of tumor subpopulations remains stable in recurrent tumors. Analysis of tumor-associated microglia/macrophages (TAMs) reveals significant differences between oligodendrogliomas, with astrocytomas harboring inflammatory TAMs expressing phosphorylated STAT1, as confirmed by immunohistochemistry. Furthermore, inferred receptor-ligand interactions between tumor subpopulations and TAMs may contribute to TAM state diversity. Overall, our study sheds light on distinct tumor populations, TAM heterogeneity, TAM-tumor interactions in IDH-mutant glioma subtypes, and the relative stability of tumor subpopulations in recurrent astrocytomas.

Tolerant Epitypes of Elicited Holm Oak Somatic Embryos Could Be Revealed by Challenges in Dual Culture with Phytophthora cinnamomi Rands.

Holm oaks (Quercus ilex L.) can suffer severe infection by the oomycete Phytophthora cinnamomi Rands; the production of more tolerant plants is, therefore, required. Embryo formation is a key period in the establishment of epigenetic memory. Somatic embryos from three holm oak genotypes were elicited, either over 3 days or 60 days, with methyl-jasmonate, salicylic acid (SA), ß-aminobutyric acid (BABA), or benzothiadiazole (all at 50 µM and 100 µM), or 10% and 30% of a filtered oomycete extract (FILT10 and FILT30) to activate plant immune responses. The number of embryos produced and conversion rate under all conditions were recorded. Some elicited embryos were then exposed to P. cinnamomi in dual culture, and differential mycelial growth and the progression of necrosis were measured. The same was performed with the roots of germinated embryos. Within genotypes, significant differences were seen among the elicitation treatments in terms of both variables. Embryos and roots of 60-day BABA, SA, or FILT10 treatments inhibited mycelium growth. The 3-day BABA (either concentration) and 60-day FILT10 induced the greatest inhibition of necrosis. Mycelium and necrosis inhibition were compared with those of tolerant trees. Both inhibitions might be a defense response maintained after primed embryo germination, thus increasing the likelihood of tolerance to infection.

Role of independent versus chain pharmacies in providing pharmacy access: a nationwide, individual-level geographic information systems analysis.

Pharmacy accessibility is critical for equity in medication access and is jeopardized by pharmacy closures, which disproportionately affect independent pharmacies. We conducted a geographic information systems analysis to quantify how many individuals across the US do not have optimal pharmacy access or solely rely on independent pharmacies for access. We generated service areas of pharmacies using OpenStreetMap data. For each individual in a 30% random sample of the 2020 RTI US Household Synthetic Population™ (n=90,778,132), we defined optimal pharmacy access as having a driving distance to the closest pharmacy ≤2 miles in urban counties, ≤5 miles in suburban counties, and ≤10 miles in rural counties. Individuals were then categorized according to their access to chain and independent pharmacies. Five percent of the sample or ~15.1 million individuals nationwide relied on independent pharmacies for optimal access. Individuals relying on independent pharmacies for optimal access were more likely to live in rural areas, be 65 years or older, and belong to low-income households. Another 19.5% of individuals in the sample did not have optimal pharmacy access, which corresponds to 59.0 million individuals nationwide. Our findings demonstrate that independent pharmacies play a critical role in ensuring equity in pharmacy access.