Comprehensive overview of the anesthesiology research landscape: A machine Learning Analysis of 737 NIH-funded anesthesiology primary Investigator's publication trends.

Background: Anesthesiology plays a crucial role in perioperative care, critical care, and pain management, impacting patient experiences and clinical outcomes. However, our understanding of the anesthesiology research landscape is limited. Accordingly, we initiated a data-driven analysis through topic modeling to uncover research trends, enabling informed decision-making and fostering progress within the field. Methods: The easyPubMed R package was used to collect 32,300 PubMed abstracts spanning from 2000 to 2022. These abstracts were authored by 737 Anesthesiology Principal Investigators (PIs) who were recipients of National Institute of Health (NIH) funding from 2010 to 2022. Abstracts were preprocessed, vectorized, and analyzed with the state-of-the-art BERTopic algorithm to identify pillar topics and trending subtopics within anesthesiology research. Temporal trends were assessed using the Mann-Kendall test. Results: The publishing journals with most abstracts in this dataset were Anesthesia & Analgesia 1133, Anesthesiology 992, and Pain 671. Eight pillar topics were identified and categorized as basic or clinical sciences based on a hierarchical clustering analysis. Amongst the pillar topics, "Cells & Proteomics" had both the highest annual and total number of abstracts. Interestingly, there was an overall upward trend for all topics spanning the years 2000-2022. However, when focusing on the period from 2015 to 2022, topics "Cells & Proteomics" and "Pulmonology" exhibit a downward trajectory. Additionally, various subtopics were identified, with notable increasing trends in "Aneurysms", "Covid 19 Pandemic", and "Artificial intelligence & Machine Learning". Conclusion: Our work offers a comprehensive analysis of the anesthesiology research landscape by providing insights into pillar topics, and trending subtopics. These findings contribute to a better understanding of anesthesiology research and can guide future directions.

Thinking (Metastasis) outside the (Primary Tumor) Box.

The metastasis of tumor cells into vital organs is a major cause of death from diverse types of malignancies [...].

Prediction of American Society of Anesthesiologists Physical Status Classification from preoperative clinical text narratives using natural language processing.

BACKGROUND: Electronic health records (EHR) contain large volumes of unstructured free-form text notes that richly describe a patient's health and medical comorbidities. It is unclear if perioperative risk stratification can be performed directly from these notes without manual data extraction. We conduct a feasibility study using natural language processing (NLP) to predict the American Society of Anesthesiologists Physical Status Classification (ASA-PS) as a surrogate measure for perioperative risk. We explore prediction performance using four different model types and compare the use of different note sections versus the whole note. We use Shapley values to explain model predictions and analyze disagreement between model and human anesthesiologist predictions. METHODS: Single-center retrospective cohort analysis of EHR notes from patients undergoing procedures with anesthesia care spanning all procedural specialties during a 5 year period who were not assigned ASA VI and also had a preoperative evaluation note filed within 90 days prior to the procedure. NLP models were trained for each combination of 4 models and 8 text snippets from notes. Model performance was compared using area under the receiver operating characteristic curve (AUROC) and area under the precision recall curve (AUPRC). Shapley values were used to explain model predictions. Error analysis and model explanation using Shapley values was conducted for the best performing model. RESULTS: Final dataset includes 38,566 patients undergoing 61,503 procedures with anesthesia care. Prevalence of ASA-PS was 8.81% for ASA I, 31.4% for ASA II, 43.25% for ASA III, and 16.54% for ASA IV-V. The best performing models were the BioClinicalBERT model on the truncated note task (macro-average AUROC 0.845) and the fastText model on the full note task (macro-average AUROC 0.865). Shapley values reveal human-interpretable model predictions. Error analysis reveals that some original ASA-PS assignments may be incorrect and the model is making a reasonable prediction in these cases. CONCLUSIONS: Text classification models can accurately predict a patient's illness severity using only free-form text descriptions of patients without any manual data extraction. They can be an additional patient safety tool in the perioperative setting and reduce manual chart review for medical billing. Shapley feature attributions produce explanations that logically support model predictions and are understandable to clinicians.

Distinct shared and compartment-enriched oncogenic networks drive primary versus metastatic breast cancer.

Metastatic breast-cancer is a major cause of death in women worldwide, yet the relationship between oncogenic drivers that promote metastatic versus primary cancer is still contentious. To elucidate this relationship in treatment-naive animals, we hereby describe mammary-specific transposon-mutagenesis screens in female mice together with loss-of-function Rb, which is frequently inactivated in breast-cancer. We report gene-centric common insertion-sites (gCIS) that are enriched in primary-tumors, in metastases or shared by both compartments. Shared-gCIS comprise a major MET-RAS network, whereas metastasis-gCIS form three additional hubs: Rho-signaling, Ubiquitination and RNA-processing. Pathway analysis of four clinical cohorts with paired primary-tumors and metastases reveals similar organization in human breast-cancer with subtype-specific shared-drivers (e.g. RB1-loss, TP53-loss, high MET, RAS, ER), primary-enriched (EGFR, TGFß and STAT3) and metastasis-enriched (RHO, PI3K) oncogenic signaling. Inhibitors of RB1-deficiency or MET plus RHO-signaling cooperate to block cell migration and drive tumor cell-death. Thus, targeting shared- and metastasis- but not primary-enriched derivers offers a rational avenue to prevent metastatic breast-cancer.

A temporal in vivo catalog of chromatin accessibility and expression profiles in pineoblastoma reveals a prevalent role for repressor elements.

Pediatric pineoblastomas (PBs) are rare and aggressive tumors of grade IV histology. Although some oncogenic drivers are characterized, including germline mutations in RB1 and DICER1, the role of epigenetic deregulation and cis-regulatory regions in PB pathogenesis and progression is largely unknown. Here, we generated genome-wide gene expression, chromatin accessibility, and H3K27ac profiles covering key time points of PB initiation and progression from pineal tissues of a mouse model of CCND1-driven PB. We identified PB-specific enhancers and super-enhancers, and found that in some cases, the accessible genome dynamics precede transcriptomic changes, a characteristic that is underexplored in tumor progression. During progression of PB, newly acquired open chromatin regions lacking H3K27ac signal become enriched for repressive state elements and harbor motifs of repressor transcription factors like HINFP, GLI2, and YY1. Copy number variant analysis identified deletion events specific to the tumorigenic stage, affecting, among others, the histone gene cluster and Gas1, the growth arrest specific gene. Gene set enrichment analysis and gene expression signatures positioned the model used here close to human PB samples, showing the potential of our findings for exploring new avenues in PB management and therapy. Overall, this study reports the first temporal and in vivo cis-regulatory, expression, and accessibility maps in PB.

Transcriptional profiling of mouse projection neurons with VECTORseq.

Existing techniques for transcriptional profiling of projection neurons could be applied to only one neuronal population per experiment. To increase throughput, we developed VECTORseq, which repurposes retrogradely infecting viruses to deliver multiplexable RNA barcodes, enabling projection anatomy to be read out in single-cell datasets. In this protocol, we describe the delivery of viral barcodes to mouse brain to label different projection neurons. We then detail single-cell or nuclei isolation for sequencing, followed by the analysis of single-cell sequencing data. For complete details on the use and execution of this protocol, please refer to Cheung et al. (2021).

A racemosin B derivative, C25, suppresses breast cancer growth via lysosomal membrane permeabilization and inhibition of autophagic flux.

Breast cancer is the most common malignancy among women worldwide. As conventional therapies are only partially successful in eradicating breast cancer, the development of novel strategies is a top priority. We previously showed that C25, a new racemosin B derivative, exerts its anti-cancer activity through inhibition of autophagy, but the underlying mechanism remained unknown. Here we show that C25 inhibits the growth of diverse breast cancer cell subtypes and effectively suppresses tumor progression in a xenotransplantation model of triple negative breast cancer. C25 acts as a lysosomotropic agent to induce lysosomal membrane permeabilization and inhibit autophagic flux, resulting in cathepsin release and cell death. In accordance, RNA sequencing and gene set enrichment analysis revealed that C25 induces pathways consistent with autophagy inhibition, cell cycle arrest and senescence. Interestingly, knockdown of TFEB or SQSTM1 reduced cell death induced by C25 treatment. Finally, we show that C25 synergizes with the chemo-therapeutics etoposide and paclitaxel to further limit breast cancer cell growth. Thus, C25 alone or in combination with other anti-neoplastic agents offers a novel therapeutic strategy for aggressive forms of breast cancer and possibly other malignancies.

Hypophosphorylated pRb knock-in mice exhibit hallmarks of aging and vitamin C-preventable diabetes.

Despite extensive analysis of pRB phosphorylation in vitro, how this modification influences development and homeostasis in vivo is unclear. Here, we show that homozygous Rb∆K4 and Rb∆K7 knock-in mice, in which either four or all seven phosphorylation sites in the C-terminal region of pRb, respectively, have been abolished by Ser/Thr-to-Ala substitutions, undergo normal embryogenesis and early development, notwithstanding suppressed phosphorylation of additional upstream sites. Whereas Rb∆K4 mice exhibit telomere attrition but no other abnormalities, Rb∆K7 mice are smaller and display additional hallmarks of premature aging including infertility, kyphosis, and diabetes, indicating an accumulative effect of blocking pRb phosphorylation. Diabetes in Rb∆K7 mice is insulin-sensitive and associated with failure of quiescent pancreatic ß-cells to re-enter the cell cycle in response to mitogens, resulting in induction of DNA damage response (DDR), senescence-associated secretory phenotype (SASP), and reduced pancreatic islet mass and circulating insulin level. Pre-treatment with the epigenetic regulator vitamin C reduces DDR, increases cell cycle re-entry, improves islet morphology, and attenuates diabetes. These results have direct implications for cell cycle regulation, CDK-inhibitor therapeutics, diabetes, and longevity.

Improving antibiotic prescribing for acute bronchitis in the ambulatory setting using a multifaceted approach.

Antibiotics are frequently prescribed inappropriately for acute respiratory infections in the outpatient setting. We report the implementation of a multifaceted outpatient antimicrobial stewardship initiative resulting in a 12.3% absolute reduction of antibiotic prescribing for acute bronchitis in primary care clinics receiving active interventions.

Case Report: Radiographic Identification of Intrapleural Misplacement of Epidural Catheter in an Intubated Post-Lung Transplant Patient.

Intrapleural misplacement of epidural catheter is a rare complication of thoracic epidural placement, which can be difficult to detect in intubated patients with unreliable pain reports and hemodynamic response to the test dose. We describe a case of intrapleural misplacement of thoracic epidural in a 50-year-old man status-post bilateral lung transplant and highlight the use of radiographic techniques to identify the misplacement.

Virally encoded connectivity transgenic overlay RNA sequencing (VECTORseq) defines projection neurons involved in sensorimotor integration.

Behavior arises from concerted activity throughout the brain. Consequently, a major focus of modern neuroscience is defining the physiology and behavioral roles of projection neurons linking different brain areas. Single-cell RNA sequencing has facilitated these efforts by revealing molecular determinants of cellular physiology and markers that enable genetically targeted perturbations such as optogenetics, but existing methods for sequencing defined projection populations are low throughput, painstaking, and costly. We developed a straightforward, multiplexed approach, virally encoded connectivity transgenic overlay RNA sequencing (VECTORseq). VECTORseq repurposes commercial retrogradely infecting viruses typically used to express functional transgenes (e.g., recombinases and fluorescent proteins) by treating viral transgene mRNA as barcodes within single-cell datasets. VECTORseq is compatible with different viral families, resolves multiple populations with different projection targets in one sequencing run, and identifies cortical and subcortical excitatory and inhibitory projection populations. Our study provides a roadmap for high-throughput identification of neuronal subtypes based on connectivity.

Methylation data of mouse Rb-deficient pineoblastoma.

Methylation profiling is widely used to study tumor biology and perform cluster analysis, particularly in brain cancer research where tissue biopsies are scarce. We have recently reported on the development of novel mouse models for germ line mutations in pineoblastoma (Nature Communications, 2020). Here, we present unpublished methylation profiling of 8 Rb-deleted/p53-deleted pineoblastoma from our mouse model as well as 3 normal cerebellum tissues as control. The primary dataset can be accessed via SRA (PRJNA638504). These methylation data can be used to perform inter- and intra-species comparisons with other brain cancers as well as with specific subtypes of pineoblastoma, and to investigate potential epigenetic mechanisms and pathways underlying Rb-deficient pineoblastoma-genesis..

Obstetric outcomes in major vs minor placenta praevia: A retrospective cohort study.

BACKGROUND: Placenta praevia (PP) is a rare obstetric condition associated with significant maternal and perinatal morbidity. Traditionally, the degree of PP has been classified into minor and major; however, there are very few robust studies that compare the maternal outcomes of these types of PP. AIMS: To identify any significant differences in obstetric outcomes between major and minor PP, including antepartum, intraoperative and postpartum complications. MATERIALS AND METHODS: A retrospective cohort study was conducted at the Royal Brisbane & Women's Hospital between 2009 and 2018; all women were diagnosed with PP. RESULTS: Of the total of 368 women recruited, over half of the participants were diagnosed with major PP (57%), while the remaining had minor PP. Women with major PP, compared to women with minor PP, had an increased risk of antepartum haemorrhage (odds ratio (OR) 2.77, P < 0.001), delivery at an earlier gestational age (36.1 vs 37.4 weeks), general anaesthesia (OR 3.25, P < 0.001), greater proportion of emergency lower segment (51% vs 40%) and classical caesarean (7.7% vs 3.8%), increased number of uterotonics (incidence rate ratio (IRR) 1.17, P < 0.031), greater blood loss (IRR 1.32, P < 0.001) and higher frequency of blood transfusion (IRR 2.00, P < 0.027), and longer postpartum hospital stay (IRR 1.26, P < 0.001). Hysterectomy was performed for three women with major PP, compared to one with minor PP. CONCLUSIONS: The degree of PP significantly impacts obstetric outcomes, with major PP associated with worse maternal morbidity antenatally, intraoperatively and postpartum. Therefore, to optimise patient care, this study emphasises the importance of identifying and distinguishing between different types of PP.

Massive splenic cyst in pregnancy: case report.

BACKGROUND: Primary splenic cysts are very rarely diagnosed in pregnancy, with only thirteen cases described in the literature. We examine the approach towards diagnosing and managing uniquely large abdominal masses that significantly complicate obstetric care. CASE PRESENTATION: A 37-year-old primigravida woman presented with abdominal distension and discomfort, yet otherwise asymptomatic. On ultrasound, an incidental pregnancy at 25 weeks of gestation and a large pelvic lesion were discovered. MRI defined a 28 × 29 cm lobulated, complex cystic mass in the upper abdomen. The patient underwent two ascitic drainages throughout her pregnancy. At 34 weeks of gestation, she had a classical caesarean section. Then at five-weeks postpartum, she underwent a laparotomy and total splenectomy with 16 L of fluid drained. Histopathological analysis revealed an epithelial cyst of the spleen. Her recovery was complicated by complete portal vein thrombosis. CONCLUSION: This case describes the largest splenic cyst ever reported in pregnancy and explores the diagnostic dilemmas and treatment challenges associated. We introduce the utility of serial ascitic drainages in prolonging the pregnancy and emphasise the reliance on imaging for surveillance of splenic size and fetal wellbeing.

Modeling germline mutations in pineoblastoma uncovers lysosome disruption-based therapy.

Pineoblastoma is a rare pediatric cancer induced by germline mutations in the tumor suppressors RB1 or DICER1. Presence of leptomeningeal metastases is indicative of poor prognosis. Here we report that inactivation of Rb plus p53 via a WAP-Cre transgene, commonly used to target the mammary gland during pregnancy, induces metastatic pineoblastoma resembling the human disease with 100% penetrance. A stabilizing mutation rather than deletion of p53 accelerates metastatic dissemination. Deletion of Dicer1 plus p53 via WAP-Cre also predisposes to pineoblastoma, albeit with lower penetrance. In silico analysis predicts tricyclic antidepressants such as nortriptyline as potential therapeutics for both pineoblastoma models. Nortriptyline disrupts the lysosome, leading to accumulation of non-functional autophagosome, cathepsin B release and pineoblastoma cell death. Nortriptyline further synergizes with the antineoplastic drug gemcitabine to effectively suppress pineoblastoma in our preclinical models, offering new modality for this lethal childhood malignancy.

Antimicrobial stewardship in the outpatient setting: A review and proposed framework.

Antimicrobial misuse is still a significant problem, and most inappropriate use occurs in the outpatient setting. In this article, we provide a review of available literature on outpatient antimicrobial stewardship in primary care settings, and we propose a novel implementation framework.

Diagnosis, Treatment, and Prevention of Urinary Tract Infections in Post-Acute and Long-Term Care Settings: A Consensus Statement From AMDA's Infection Advisory Subcommittee.

The diagnosis and management of urinary tract infections (UTIs) among residents of post-acute and long-term care (PALTC) settings remains challenging. Nonspecific symptoms, complex medical conditions, insufficient awareness of diagnostic criteria, and unnecessary urine studies all contribute to the inappropriate diagnosis and treatment of UTIs in PALTC residents. In 2017, the Infection Advisory Subcommittee at AMDA-The Society for Post-Acute and Long-Term Care Medicine convened a workgroup comprised of experts in geriatrics and infectious diseases to review recent literature regarding UTIs in the PALTC population. The workgroup used evidence as well as their collective clinical expertise to develop this consensus statement with the goal of providing comprehensive guidance on the diagnosis, treatment, and prevention of UTIs in PALTC residents. The recommendations acknowledge limitations inherent to providing medical care for frail older adults, practicing within a resource limited setting, and prevention strategies tailored to PALTC populations. In addition, the consensus statement encourages integrating antibiotic stewardship principles into the policies and procedures used by PALTC nursing staff and by prescribing clinicians as they care for residents with a suspected UTI.

Compliance monitoring via a Bluetooth-enabled retainer: A prospective clinical pilot study.

OBJECTIVES: To conduct a prospective pilot trial to test the clinical efficacy and accuracy of a newly developed Bluetooth-enabled retainer, which was synchronized with an iOS mobile application, cloud database and provider webpage. SETTING AND SAMPLE POPULATION: Five orthodontic residents in a university setting. MATERIAL AND METHODS: At the delivery of the retainers (T0), each participant was given an Bluetooth-enabled retainer, logbook and iPod Touch installed with the mobile application. Participants were instructed to wear the retainer for 12 hours per day and record in the logbook each time the retainer was inserted or removed and trained to synchronize the device daily to the mobile application. After the 5-day study period (T1), statistical analysis was performed comparing the device-reported data to the logbook data using two calculation methods. RESULTS: From T0 - T1, the participants wore their retainers for a median of 11.55 hours per day and the median difference between the self-reported (logbook) data and the device data was 35 minutes or 5.1% over the 5-day study period. Using an adjusted method to calculate the device-reported wear time, the median error was 13 minutes or 1.9%. CONCLUSION: Subjects were able to successfully wear the retainer and upload the data to the mobile application and cloud database. Patient compliance and technical issues could be monitored daily via the provider webpage, and early intervention was possible with reminder messaging. The Bluetooth-enabled retainer showed a clinically acceptable level of accuracy and usability that validates it for future clinical testing.

Novel racemosin B derivatives as new therapeutic agents for aggressive breast cancer.

Carbazole derivatives show anti-cancer activity and are of great interest for drug development. In this study, we synthesized and analyzed several new alkylamide derivatives of racemocin B, a natural indolo[3,2-a]carbazole molecule originally isolated from the green alga Caulerpa racemose. Several alkylamide derivatives were found to exhibit moderate to strong growth inhibition against human breast cancer cell lines. They induced G2/M cell cycle arrest and apoptosis in the aggressive triple-negative breast cancer cell line MDA-MB-231. Among these derivatives, compound 25 with the lowest IC50 induced cell death by suppressing autophagy. This was accompanied by inhibition of autophagic flux and accumulation of autophagy protein 1 light chain 3, LC3II, and p62. The novel alkylamide derivative offers a potential new treatment for human breast cancer.

Cdh1 and Pik3ca Mutations Cooperate to Induce Immune-Related Invasive Lobular Carcinoma of the Breast.

CDH1 and PIK3CA are the two most frequently mutated genes in invasive lobular carcinoma (ILC) of the breast. Transcription profiling has identified molecular subtypes for ILC, one of which, immune-related (IR), is associated with gene expression linked to lymphocyte and macrophage infiltration. Here, we report that deletion of Cdh1, together with activation of Pik3ca in mammary epithelium of genetically modified mice, leads to formation of IR-ILC-like tumors with immune cell infiltration, as well as gene expression linked to T-regulatory (Treg) cell signaling and activation of targetable immune checkpoint pathways. Interestingly, these tumors show enhanced Rac1- and Yap-dependent transcription and signaling, as well as sensitivity to PI3K, Rac1, and Yap inhibitors in culture. Finally, high-dimensional immunophenotyping in control mouse mammary gland and IR-ILC tumors by mass cytometry shows dramatic alterations in myeloid and lymphoid populations associated with immune suppression and exhaustion, highlighting the potential for therapeutic intervention via immune checkpoint regulators.