Explore the vast range of titles available.

Starvation ketosis and pancreatitis are uncommon and underrecognized etiologies of euglycemic diabetic ketoacidosis (DKA). Euglycemic DKA is associated commonly with pregnancy, use of insulin en route to the hospital, and use of sodium-glucose cotransporter-2 (SGLT-2) inhibitors. A 58-year-old male with past medical history of type II diabetes mellitus and alcoholism presented with chief complaint of nausea, vomiting, and poor oral intake for several weeks. Despite extensive history of diabetes and no recent SGLT-2 inhibitor use, his labs were consistent with euglycemic DKA. His imaging and clinical history also confirmed alcoholic pancreatitis. The patient was admitted for euglycemic DKA secondary to starvation ketosis and alcoholic pancreatitis. His anion gap and beta-hydroxybutyrate rapidly cleared with initiation of the DKA protocol. This case teaches us that clinicians should consider early initiation of the DKA protocol even in the setting of euglycemia, when a patient presents with high-anion-gap metabolic acidosis, a high beta-hydroxybutyrate level, and a clinical picture of pancreatitis and starvation.

Stakeholder engagement can play an important role in increasing public trust and the understanding of scientific research and its impact. Frameworks for stakeholder identification exist, but these frameworks may not apply well to basic science and early stage translational research. Four Clinical and Translational Science Award (CTSA) hubs led six focus groups and two semi-structured interviews using a semi-structured discussion guide to learn from basic science researchers about stakeholder engagement in their work. The 24 participants represented fourteen clinical and academic disciplines. Early stage translational researchers reported engagement with a broad array of stakeholders. Those whose research has a clinical focus reported working with a more diverse range of stakeholders than those whose work did not. Common barriers to stakeholder engagement were grouped into three major themes: a poor definition of concepts, absence of guidance, and limited resources. The National Center for Advancing Translational Sciences (NCATS), the consortium of CTSAs, and the individual CTSA \"hubs\" are three actors that can help early stage translational researchers develop shared terms of reference, build the necessary skills, and assemble the appropriate resources for engaging stakeholders in Clinical and Translational Research. Getting this right will involve a coordinated push by all three entities.

Addressing communication needs of individuals with intellectual and developmental disabilities who rely on augmentative and alternative communication (AAC) is crucial, particularly in health care settings where these needs often go unmet. Despite the potential of AAC to improve patient-provider interactions, health care professionals frequently lack adequate training and experience in AAC, leading to overlooked patient needs and suboptimal care delivery. Negative attitudes toward AAC users further hinder effective communication and care provision. This article highlights the urgent need for enhanced AAC support in health care settings and proposes strategies to address these challenges, including comprehensive training programs for health care professionals and fostering a supportive environment for AAC users. By prioritizing communication access, health care systems can ensure equitable and person-centered care for all patients, regardless of their communication abilities.

Background Colorectal cancer (CRC) is the second leading cause of cancer death and the second most common cancer diagnosis among the Hispanic population in the United States. However, CRC screening prevalence remains lower among Hispanic adults than among non-Hispanic white adults. To reduce CRC screening disparities, efforts to implement CRC screening evidence-based interventions in primary care organizations (PCOs) must consider their potential effect on existing screening disparities. More research is needed to understand how to leverage existing implementation science methodologies to improve health disparities. The Coaching to Improve Colorectal Cancer Screening Equity (CoachIQ) pilot study explores whether integrating two implementation science tools, Causal Pathway Diagrams and practice facilitation, is a feasible and effective way to address CRC screening disparities among Hispanic patients. Methods We used a quasi-experimental, mixed methods design to evaluate feasibility and assess initial signals of effectiveness of the CoachIQ approach. Three PCOs received coaching from CoachIQ practice facilitators over a 12-month period. Three non-equivalent comparison group PCOs received coaching during the same period as participants in a state quality improvement program. We conducted descriptive analyses of screening rates and coaching activities. Results The CoachIQ practice facilitators discussed equity, facilitated prioritization of QI activities, and reviewed CRC screening disparities during a higher proportion of coaching encounters than the comparison group practice facilitator. While the mean overall CRC screening rate in the comparison PCOs increased from 34 to 41%, the mean CRC screening rate for Hispanic patients did not increase from 30%. In contrast, the mean overall CRC screening rate at the CoachIQ PCOs increased from 41 to 44%, and the mean CRC screening rate for Hispanic patients increased from 35 to 39%. Conclusions The CoachIQ program merges two implementation science methodologies, practice facilitation and causal pathway diagrams, to help PCOs focus quality improvement efforts on improving CRC screening while also reducing screening disparities. Results from this pilot study demonstrate key differences between CoachIQ facilitation and standard facilitation, and point to the potential of the CoachIQ approach to decrease disparities in CRC screening.

Cancer cells “hijack” host immune cells to promote growth, survival, and metastasis. The immune microenvironment of high-grade gliomas (HGG) is a complex and heterogeneous system, consisting of diverse cell types such as microglia, bone marrow-derived macrophages (BMDMs), myeloid-derived suppressor cells (MDSCs), dendritic cells, natural killer (NK) cells, and T-cells. Of these, MDSCs are one of the major tumor-infiltrating immune cells and are correlated not only with overall worse prognosis but also poor clinical outcomes. Upon entry from the bone marrow into the peripheral blood, spleen, as well as in tumor microenvironment (TME) in HGG patients, MDSCs deploy an array of mechanisms to perform their immune and non-immune suppressive functions. Here, we highlight the origin, function, and characterization of MDSCs and how they are recruited and metabolically reprogrammed in HGG. Furthermore, we discuss the mechanisms by which MDSCs contribute to immunosuppression and resistance to current therapies. Finally, we conclude by summarizing the emerging approaches for targeting MDSCs alone as a monotherapy or in combination with other standard-of-care therapies to improve the current treatment of high-grade glioma patients.

Objective Lung cancer is the leading cause of cancer death in the United States [Siegel et al. in CA Cancer J Clin 66:7–30, 1 ]. However, evidence from clinical trials indicates that annual low-dose computed tomography screening reduces lung cancer mortality [Humphrey et al. in Ann Intern Med 159:411–420, 2 ]. The objective of this study is to report results of a study designed to assess the sensitivity, specificity, and positive and negative predictive value of an electronic health record (EHR) query in comparison to patient self-report, to identify patients who may benefit from lung cancer screening. Cross sectional study comparing patient self report to EHR derived assessment of tobacco status and need for lung cancer screening. We invited 200 current or former smokers, ages 55–80 to complete a brief paper survey. 26 responded and 24 were included in the analysis. Results For 30% of respondents, there was not adequate EHR data to make a lung cancer screening determination. Compared to patient self-report, EHR derived data has a 67% sensitivity and 82% specificity for identifying patients that meet criteria for lung cancer screening. While the degree of accuracy may be insufficient to make a final lung cancer screening determination, EHR data may be useful in prompting clinicians to initiate conversations with patients in regards to lung cancer screening.

Despite the existence of effective screening, colorectal cancer remains the second leading cause of cancer death in the United States. Identification of disparities in colorectal cancer screening will allow for targeted interventions to achieve national goals for screening. The objective of this study was to contrast colorectal cancer screening rates in urban and rural populations in the United States. The study design comprised a cross‐sectional study in the United States 1998–2005. Behavioral Risk Factor Surveillance System data from 1998 to 2005 were the method and data source. The primary outcome was self‐report up‐to‐date colorectal cancer screening (fecal occult blood test in last 12 months, flexible sigmoidoscopy in last 5 years, or colonoscopy in last 10 years). Geographic location (urban vs. rural) was used as independent variable. Multivariate analysis controlled for demographic and health characteristics of respondents. After adjustment for demographic and health characteristics, rural residents had lower colorectal cancer screening rates (48%; 95% CI 48, 49%) as compared with urban residents (54%, 95% CI 53, 55%). Remote rural residents had the lowest screening rates overall (45%, 95% CI 43, 46%). From 1998 to 2005, rates of screening by colonoscopy or flexible sigmoidoscopy increased in both urban and rural populations. During the same time, rates of screening by fecal occult blood test decreased in urban populations and increased in rural populations. Persistent disparities in colorectal cancer screening affect rural populations. The types of screening tests used for colorectal cancer screening are different in rural and urban areas. Future research to reduce this disparity should focus on screening methods that are acceptable and feasible in rural areas. Colorectal cancer screening is effective, yet underused. Rural residents may face increased barriers to screening compared with urban residents. We describe significant urban–rural colorectal cancer screening disparities in the United States.

Digital health technologies, such as telehealth, remote patient monitoring, and smartphone apps, have the potential to reduce access disparities faced by rural patients with cardiovascular disease, but little is known about rural health care providers' perspectives on adopting digital health in their practice. This study used diffusion of innovations theory as a guiding framework to interpret interview findings on rural and rural-serving health care providers' perspectives on the use of digital health to deliver rural cardiovascular care. We conducted semistructured interviews with rural and rural-serving health care providers, including primary care advanced practice providers and physicians, as well as referring cardiologists from 6 primary care clinics in Alaska, Idaho, and Washington. We performed a directed content analysis of interview data informed by diffusion of innovations theory and identified emergent subthemes related to each of the 5 factors that influence adoption: relative advantage, compatibility, complexity, trialability, and observability. Seventeen health care providers participated in this study. Participants described cycles of adopting and discontinuing the use of digital health in their practice. Participants identified advantages of digital health including reduced patient travel, the ability to leverage nonphysician health care workers, and the availability of objective patient data from remote patient monitoring. Compatibilities included increased patient adherence and follow-up and the ability to involve specialists in patient care. The trialability of digital health was described through experiences with remote patient monitoring and scaled-up use of telehealth during the COVID-19 pandemic, and participants observed the benefits of digital health in other disciplines and as patients. We also identified several disadvantages, incompatibilities, and complexities that may hinder the adoption of digital health technologies in rural practice, most of which were highlighted at the clinic and patient levels. These disadvantages, incompatibilities, and complexities included substandard equipment, inability to perform a physical examination, connectivity issues caused by poor internet and cell phone service, concerns about patient age and technical abilities, concerns about proper fit and distribution of remote patient monitoring equipment, and questions about billing and data management for digital health technologies. Rural health care providers recognize the many advantages of using digital health in caring for patients with cardiovascular disease but find that digital health is often complex and incompatible with their needs and the needs of their patients. There may be a disconnect between the potential of digital health and how it works in practice, as evidenced by the cycles of adoption and discontinuance of digital health technologies described by rural health care providers. Future rural digital health interventions in cardiovascular care should take into consideration specific complexities and incompatibilities in the rural context.

Background: Most antibiotic use occurs in ambulatory settings. Antibiotic prescribing for children living in the United States in medically underserved areas or in populations is not well understood. Objective: To characterize antibiotic prescribing for children in a practice-based research network (PBRN). Design and Methods: In this retrospective cohort study, we characterized oral antibiotic prescribing in a large PBRN. Patients aged 0–17 years with at least 1 in-person visit between January 1, 2014, and December 31, 2018, at 1 of 25 primary-care clinics located within the WWAMI (Washington, Wyoming, Alaska, Montana, and Idaho) region of the Practice and Research Network (WPRN) were included. Data were extracted from DataQUEST, a centralized data repository from included primary-care clinics. Encounters for wellness visits or those lacking a diagnosis code and patients with complex chronic conditions were excluded. Diagnoses were categorized using International Classification of Disease, Ninth Revision (ICD-9) and ICD-10 codes. Oral antibiotics prescribed within 3 days of an encounter were associated with that encounter. Demographic data included age, sex, race, and ethnicity. Antibiotic appropriateness was determined using a previously published 3-tiered classification system using diagnosis codes as always, sometimes, or never appropriate. Patient-level data (ZIP codes) were used to designate medically underserved areas (MUAs) and medically underserved populations (MUPs). Antibiotic prescribing was then analyzed within these groups. Results: In total, 37,314 patients across 206,845 encounters were included, of which 34,601 encounters (17%) resulted in antibiotic prescription (Table 1). Of those, appropriateness data were available for 34,286 (99%). Of the antibiotics prescribed, 14% were always appropriate, 57% were sometimes appropriate, and 27% were never appropriate (1% missing). In total, 64% and 35% of encounters occurred with patients from an MUA and MUP, respectively. Conclusions: Targets to improve oral antibiotic prescribing for children in a large PBRN include antibiotic prescribing for diagnoses that never require an antibiotic. Larger comparative studies may focus on the role (if any) that MUA/MUP has on antibiotic prescribing. Disclosures: None

Background Hepatitis C infection (HCV) and opioid use disorder (OUD) are syndemic in the U.S., thus primary care providers (PCPs) who treat OUD by prescribing buprenorphine can play key roles to advance HCV elimination targets. We compared HCV screening and treatment among PCPs who do and do not prescribe buprenorphine in Washington (WA) State. Methods This study utilized a cross-sectional survey of PCPs in WA State, designed to characterize HCV care delivery practices and experiences/attitudes toward HCV. In this study, the independent variable was self-reported buprenorphine prescribing, and the main outcomes were (1) guideline-concordant HCV screening and (2) directly providing treatment for HCV. We used descriptive statistics to describe respondent characteristics. We used logistic regression to assess the association between buprenorphine prescribing status and HCV screening and treatment outcomes. Results Our sample included 73 PCPs, of whom 55% prescribe buprenorphine. We found that 25% of buprenorphine prescribers directly treated HCV. There was over a 2x greater relative odds that buprenorphine prescribers would correctly screen for HCV relative to non-prescribers (OR = 2.24; 95% CI: 0.67–8.18, p  = .20) and a nearly 2.5x greater relative odds that they would treat HCV relative to non-prescribers (OR = 2.42; 0.72–9.61; p  = .17), although both findings were not statistically significant. Conclusion In a sample of PCPs in WA state, buprenorphine prescribers compared to non-prescribers appear more likely to screen for and directly treat HCV, yet only a minority treat HCV. Interventions are needed to enhance HCV guideline-concordant care among these and all PCPs on the frontlines of caring for persons with OUD.