Stomach Cancer Prediction Model (SCoPM): An approach to risk stratification in a diverse U.S. population.

BACKGROUND AND AIMS: Population-based screening for gastric cancer (GC) in low prevalence nations is not recommended. The objective of this study was to develop a risk-prediction model to identify high-risk patients who could potentially benefit from targeted screening in a racial/ethnically diverse regional US population. METHODS: We performed a retrospective cohort study from Kaiser Permanente Southern California from January 2008-June 2018 among individuals age ≥50 years. Patients with prior GC or follow-up <30 days were excluded. Censoring occurred at GC, death, age 85 years, disenrollment, end of 5-year follow-up, or study conclusion. Cross-validated LASSO regression models were developed to identify the strongest of 20 candidate predictors (clinical, demographic, and laboratory parameters). Records from 12 of the medical service areas were used for training/initial validation while records from a separate medical service area were used for testing. RESULTS: 1,844,643 individuals formed the study cohort (1,555,392 training and validation, 289,251 testing). Mean age was 61.9 years with 53.3% female. GC incidence was 2.1 (95% CI 2.0-2.2) cases per 10,000 person-years (pyr). Higher incidence was seen with family history: 4.8/10,000 pyr, history of gastric ulcer: 5.3/10,000 pyr, H. pylori: 3.6/10,000 pyr and anemia: 5.3/10,000 pyr. The final model included age, gender, race/ethnicity, smoking, proton-pump inhibitor, family history of gastric cancer, history of gastric ulcer, H. pylori infection, and baseline hemoglobin. The means and standard deviations (SD) of c-index in validation and testing datasets were 0.75 (SD 0.03) and 0.76 (SD 0.02), respectively. CONCLUSIONS: This prediction model may serve as an aid for pre-endoscopic assessment of GC risk for identification of a high-risk population that could benefit from targeted screening.

Pseudomonas aeruginosa ventricular assist device infections: findings from ineffective phage therapies in five cases.

Left ventricular assist devices (LVAD) are increasingly used for management of heart failure; infection remains a frequent complication. Phage therapy has been successful in a variety of antibiotic refractory infections and is of interest in treating LVAD infections. We performed a retrospective review of four patients that underwent five separate courses of intravenous (IV) phage therapy with concomitant antibiotic for treatment of endovascular Pseudomonas aeruginosa LVAD infection. We assessed phage susceptibility, bacterial strain sequencing, serum neutralization, biofilm activity, and shelf-life of phage preparations. Five treatments of one to four wild-type virulent phage(s) were administered for 14-51 days after informed consent and regulatory approval. There was no successful outcome. Breakthrough bacteremia occurred in four of five treatments. Two patients died from the underlying infection. We noted a variable decline in phage susceptibility following three of five treatments, four of four tested developed serum neutralization, and prophage presence was confirmed in isolates of two tested patients. Two phage preparations showed an initial titer drop. Phage biofilm activity was confirmed in two. Phage susceptibility alone was not predictive of clinical efficacy in P. aeruginosa endovascular LVAD infection. IV phage was associated with serum neutralization in most cases though lack of clinical effect may be multifactorial including presence of multiple bacterial isolates with varying phage susceptibility, presence of prophages, decline in phage titers, and possible lack of biofilm activity. Breakthrough bacteremia occurred frequently (while the organism remained susceptible to administered phage) and is an important safety consideration.

Pulsed low-dose-rate radiation (PLDR) reduces the tumor-promoting responses induced by conventional chemoradiation in pancreatic cancer-associated fibroblasts.

Pancreatic cancer is becoming increasingly deadly, with treatment options limited due to, among others, the complex tumor microenvironment (TME). This short communications study investigates pulsed low-dose-rate radiation (PLDR) as a potential alternative to conventional radiotherapy for pancreatic cancer neoadjuvant treatment. Our ex vivo research demonstrates that PLDR, in combination with chemotherapy, promotes a shift from tumor-promoting to tumor-suppressing properties in a key component of the pancreatic cancer microenvironment we called CAFu (cancer-associated fibroblasts and selfgenerated extracellular matrix functional units). This beneficial effect translates to reduced desmoplasia (fibrous tumor expansion) and suggests PLDR's potential to improve total neoadjuvant therapy effectiveness. To comprehensively assess this functional shift, we developed the HOST-Factor, a single score integrating multiple biomarkers. This tool provides a more accurate picture of CAFu function compared to individual biomarkers and could be valuable for guiding and monitoring future therapeutic strategies. Our findings support the ongoing NCT04452357 clinical trial testing PLDR safety and TME normalization potential in pancreatic cancer patients. The HOST-Factor will be used in samples collected from this trial to validate its potential as a key tool for personalized medicine in this aggressive disease.

Association of endoscopic biopsy sampling methods with detection of precursor lesions of gastric cancer.

BACKGROUND AND AIMS: The yield of various endoscopic biopsy sampling methods for detection of precursor lesions of noncardia gastric cancer in a real-world setting remains unclear. Our objective was to evaluate the association of endoscopic biopsy sampling methods with detection of gastric intestinal metaplasia (GIM) and gastric dysplasia (GD). METHODS: We conducted a case-control study of adult patients who underwent EGD with biopsy sampling between 2010 and 2021 in a racially and ethnically diverse U.S. healthcare system. Cases were patients with histopathologic findings of GIM and/or GD. Control subjects were matched 1:1 by age, procedure date, and medical center. We compared the detection of GIM and GD using 4 different biopsy sampling methods: unspecified, specified stomach location, 2+2, and the Sydney protocol. Additionally, we assessed trends in use of sampling methods (Cochrane-Armitage) and identified patient and endoscopist factors associated with their use (logistic regression). RESULTS: We identified 20,938 GIM and 455 GD matched pairs. A greater proportion of GIM cases were detected using 2+2 (31.3% vs 25.3%, P < .0001) and the Sydney protocol (9.1% vs 1.0%, P < .0001) compared with control subjects. Similarly, a greater proportion of GD cases were detected using the Sydney protocol (15.6% vs .4%, P < .0001). We observed an increasing trend in the use of the Sydney protocol during the study period (3.8%-16.1% in cases, P < .0001; 1%-1.1% in control subjects, P = .005). Male and Asian American patients were more likely to undergo 2+2 or the Sydney protocol, whereas female and Hispanic endoscopists were more likely to perform sampling using these protocols. CONCLUSIONS: The application of the Sydney protocol is associated with an increased detection of precursor lesions of gastric cancer in routine clinical practice.

Rapid Bench to Bedside Therapeutic Bacteriophage Production.

It has been over 100 years since bacteriophages (phages) were used as a human therapeutic. Since then, phage production has dramatically evolved. Current phage preparations have fewer adverse effects due to their low bacterial toxin content. As a result, therapeutic phages have become a predominant class of new antimicrobials and are being widely used for compassionate treatment of multidrug-resistant (MDR) infections. We describe herein a protocol for the production and ultrapurification of phages. By this technique, it is possible for a lab experienced with the process to produce >109 plaque-forming units (PFU) per mL of Gram-negative phages that meet FDA endotoxins limits for intravenous infusions in as little as 48 hours. We provide illustrations of the process and tips on how to safely remove bacterial toxins from phage lysates. Although dependent on the phage strain, the approach described can rapidly generate and purify phages for a variety of applications.

A mechanism-based pathway toward administering highly active N-phage cocktails.

Bacteriophage (phage) therapy is being explored as a possible response to the antimicrobial resistance public health emergency. Administering a mixture of different phage types as a cocktail is one proposed strategy for therapeutic applications, but the optimal method for formulating phage cocktails remains a major challenge. Each phage strain has complex pharmacokinetic/pharmacodynamic (PK/PD) properties which depend on the nano-scale size, target-mediated, self-dosing nature of each phage strain, and rapid selection of resistant subpopulations. The objective of this study was to explore the pharmacodynamics (PD) of three unique and clinically relevant anti-Pseudomonas phages after simulation of dynamic dosing strategies. The Hollow Fiber Infection Model (HFIM) is an in vitro system that mimics in vivo pharmacokinetics (PK) with high fidelity, providing an opportunity to quantify phage and bacteria concentration profiles over clinical time scales with rich sampling. Exogenous monotherapy-bolus (producing max concentrations of Cmax = 7 log10 PFU/mL) regimens of phages LUZ19, PYO2, and E215 produced Pseudomonas aeruginosa nadirs of 0, 2.14, or 2.99 log10 CFU/mL after 6 h of treatment, respectively. Exogenous combination therapy bolus regimens (LUZ19 + PYO2 or LUZ19 + E215) resulted in bacterial reduction to <2 log10 CFU/mL. In contrast, monotherapy as a continuous infusion (producing a steady-state concentration of Css,avg = 2 log10PFU/mL) was less effective at reducing bacterial densities. Specifically, PYO2 failed to reduce bacterial density. Next, a mechanism-based mathematical model was developed to describe phage pharmacodynamics, phage-phage competition, and phage-dependent adaptive phage resistance. Monte Carlo simulations supported bolus dose regimens, predicting lower bacterial counts with bolus dosing as compared to prolonged phage infusions. Together, in vitro and in silico evaluation of the time course of phage pharmacodynamics will better guide optimal patterns of administration of individual phages as a cocktail.

Controllers or Bare Hands? A Controlled Evaluation of Input Techniques on Interaction Performance and Exertion in Virtual Reality.

Virtual Reality (VR) systems have traditionally required users to operate the user interface with controllers in mid-air. More recent VR systems, however, integrate cameras to track the headset's position inside the environment as well as the user's hands when possible. This allows users to directly interact with virtual content in mid-air just by reaching out, thus discarding the need for hand-held physical controllers. However, it is unclear which of these two modalities-controller-based or free-hand interaction-is more suitable for efficient input, accurate interaction, and long-term use under reliable tracking conditions. While interacting with hand-held controllers introduces weight, it also requires less finger movement to invoke actions (e.g., pressing a button) and allows users to hold on to a physical object during virtual interaction. In this paper, we investigate the effect of VR input modality (controller vs. free-hand interaction) on physical exertion, agency, task performance, and motor behavior across two mid-air interaction techniques (touch, raycast) and tasks (selection, trajectory-tracing). Participants reported less physical exertion, felt more in control, and were faster and more accurate when using VR controllers compared to free-hand interaction in the raycast setting. Regarding personal preference, participants chose VR controllers for raycast but free-hand interaction for mid-air touch. Our correlation analysis revealed that participants' physical exertion increased with selection speed, quantity of arm motion, variation in motion speed, and bad postures, following ergonomics metrics such as consumed endurance and rapid upper limb assessment. We also found a negative correlation between physical exertion and the participant's sense of agency, and between physical exertion and task accuracy.

Trogocytosis of cancer-associated fibroblasts promotes pancreatic cancer growth and immune suppression via phospholipid scramblase anoctamin 6 (ANO6).

In pancreatic ductal adenocarcinoma (PDAC), the fibroblastic stroma constitutes most of the tumor mass and is remarkably devoid of functional blood vessels. This raises an unresolved question of how PDAC cells obtain essential metabolites and water-insoluble lipids. We have found a critical role for cancer-associated fibroblasts (CAFs) in obtaining and transferring lipids from blood-borne particles to PDAC cells via trogocytosis of CAF plasma membranes. We have also determined that CAF-expressed phospholipid scramblase anoctamin 6 (ANO6) is an essential CAF trogocytosis regulator required to promote PDAC cell survival. During trogocytosis, cancer cells and CAFs form synapse-like plasma membranes contacts that induce cytosolic calcium influx in CAFs via Orai channels. This influx activates ANO6 and results in phosphatidylserine exposure on CAF plasma membrane initiating trogocytosis and transfer of membrane lipids, including cholesterol, to PDAC cells. Importantly, ANO6-dependent trogocytosis also supports the immunosuppressive function of pancreatic CAFs towards cytotoxic T cells by promoting transfer of excessive amounts of cholesterol. Further, blockade of ANO6 antagonizes tumor growth via disruption of delivery of exogenous cholesterol to cancer cells and reverses immune suppression suggesting a potential new strategy for PDAC therapy.

Effectiveness and safety of Dabigatran 110 mg versus 150 mg for Stroke Prevention in Patients with Atrial Fibrillation at High Bleeding Risk.

PURPOSE: The effectiveness and tolerability of a reduced dose (110 mg) of dabigatran versus the standard dose (150 mg) were evaluated in subgroups of patients with atrial fibrillation (AF) at high bleeding risk. METHODS: Eligible patients were adults with AF and a creatinine clearance rate ≥30 mL/min who were initiated on treatment with dabigatran (index) between 2016 and 2018. High-bleeding-risk subgroups were identified: (1) age ≥80 years; (2) moderate renal impairment (creatinine clearance rate 30-<50 mL/min); and (3) recent bleeding or a HAS-BLED score of ≥3. Fine-Gray subdistribution hazard regression models with inverse probability of treatment weights were used to investigate associations between dabigatran dose and three outcomes: stroke or systemic embolism, major bleeding requiring hospitalization, and all-cause mortality. FINDINGS: Among 7858 patients with AF and a high bleeding risk (age ≥80 years, 3472; moderate renal impairment, 1574; recent bleeding or HAS-BLED score ≥3, 2812), 32.3% received reduced-dose dabigatran. Compared with the standard dose, use of the reduced dose of dabigatran was not associated with an increased risk for stroke or systemic embolism but was associated with a lower risk for major bleeding (HR = 0.65; 95% CI, 0.44-0.95) and all-cause mortality (HR = 0.78; 95% CI, 0.65-0.92) in patients aged ≥80 years. The use of reduced-dose dabigatran was associated with a lower risk for major bleeding (HR = 0.54; 95% CI, 0.30-0.95) and all-cause mortality among patients with moderate renal impairment (HR = 0.53; 95% CI, 0.40-0.71). IMPLICATIONS: Lower risks for bleed and mortality associated with reduced- versus standard-dose dabigatran in patients with AF and a high bleeding risk suggest a better dosing strategy.

Immunogenicity of bacteriophages.

Hundreds of trillions of diverse bacteriophages (phages) peacefully thrive within and on the human body. However, whether and how phages influence their mammalian hosts is poorly understood. In this review, we explore current knowledge and present growing evidence that direct interactions between phages and mammalian cells often induce host inflammatory and antiviral immune responses. We show evidence that, like viruses of the eukaryotic host, phages are actively internalized by host cells and activate conserved viral detection receptors. This interaction often generates proinflammatory cytokine secretion and recruitment of adaptive immune programs. However, significant variability exists in phage-immune interactions, suggesting an important role for structural phage characteristics. The factors leading to the differential immunogenicity of phages remain largely unknown but are highly influenced by their human and bacterial hosts.

Machine learning versus regression for prediction of sporadic pancreatic cancer.

BACKGROUND/OBJECTIVES: There is currently no widely accepted approach to identify patients at increased risk for sporadic pancreatic cancer (PC). We aimed to compare the performance of two machine-learning models with a regression-based model in predicting pancreatic ductal adenocarcinoma (PDAC), the most common form of PC. METHODS: This retrospective cohort study consisted of patients 50-84 years of age enrolled in either Kaiser Permanente Southern California (KPSC, model training, internal validation) or the Veterans Affairs (VA, external testing) between 2008 and 2017. The performance of random survival forests (RSF) and eXtreme gradient boosting (XGB) models were compared to that of COX proportional hazards regression (COX). Heterogeneity of the three models were assessed. RESULTS: The KPSC and the VA cohorts consisted of 1.8 and 2.7 million patients with 1792 and 4582 incident PDAC cases within 18 months, respectively. Predictors selected into all three models included age, abdominal pain, weight change, and glycated hemoglobin (A1c). Additionally, RSF selected change in alanine transaminase (ALT), whereas the XGB and COX selected the rate of change in ALT. The COX model appeared to have lower AUC (KPSC: 0.737, 95% CI 0.710-0.764; VA: 0.706, 0.699-0.714), compared to those of RSF (KPSC: 0.767, 0.744-0.791; VA: 0.731, 0.724-0.739) and XGB (KPSC: 0.779, 0.755-0.802; VA: 0.742, 0.735-0.750). Among patients with top 5% predicted risk from all three models (N = 29,663), 117 developed PDAC, of which RSF, XGB and COX captured 84 (9 unique), 87 (4 unique), 87 (19 unique) cases, respectively. CONCLUSIONS: The three models complement each other, but each has unique contributions.

Derivation and External Validation of Machine Learning-Based Model for Detection of Pancreatic Cancer.

INTRODUCTION: There is currently no widely accepted approach to screening for pancreatic cancer (PC). We aimed to develop and validate a risk prediction model for pancreatic ductal adenocarcinoma (PDAC), the most common form of PC, across 2 health systems using electronic health records. METHODS: This retrospective cohort study consisted of patients aged 50-84 years having at least 1 clinic-based visit over a 10-year study period at Kaiser Permanente Southern California (model training, internal validation) and the Veterans Affairs (VA, external testing). Random survival forests models were built to identify the most relevant predictors from >500 variables and to predict risk of PDAC within 18 months of cohort entry. RESULTS: The Kaiser Permanente Southern California cohort consisted of 1.8 million patients (mean age 61.6) with 1,792 PDAC cases. The 18-month incidence rate of PDAC was 0.77 (95% confidence interval 0.73-0.80)/1,000 person-years. The final main model contained age, abdominal pain, weight change, HbA1c, and alanine transaminase change (c-index: mean = 0.77, SD = 0.02; calibration test: P value 0.4, SD 0.3). The final early detection model comprised the same features as those selected by the main model except for abdominal pain (c-index: 0.77 and SD 0.4; calibration test: P value 0.3 and SD 0.3). The VA testing cohort consisted of 2.7 million patients (mean age 66.1) with an 18-month incidence rate of 1.27 (1.23-1.30)/1,000 person-years. The recalibrated main and early detection models based on VA testing data sets achieved a mean c-index of 0.71 (SD 0.002) and 0.68 (SD 0.003), respectively. DISCUSSION: Using widely available parameters in electronic health records, we developed and externally validated parsimonious machine learning-based models for detection of PC. These models may be suitable for real-time clinical application.

Experiencing herd immunity in virtual reality increases COVID-19 vaccination intention: Evidence from a large-scale field intervention study.

This study investigates the impact of an immersive virtual reality (VR) simulation of herd immunity on vaccination intentions and its potential underlying mechanisms. In this preregistered field study, N = 654 participants were randomly assigned to one of the three VR conditions: (1) Gamified Herd Immunity; (2) Gamified Herd Immunity + Empathy (with additional narrative elements); (3) Control (gamified with no vaccination-related content). In the Gamified Herd Immunity simulation, participants embodied a vulnerable person and navigated a wedding venue trying to avoid getting infected. A total of 455 participants with below maximum intentions to take a novel vaccine and without severe cybersickness were analyzed. The Gamified Herd Immunity + Empathy and the Gamified Herd Immunity conditions increased vaccination intentions by 6.68 and 7.06 points on a 0-100 scale, respectively, compared to 1.91 for the Control condition. The Gamified Herd Immunity + Empathy condition enhanced empathy significantly more than the Gamified Herd Immunity condition but did not result in higher vaccination intentions. Experienced presence was related to the change in vaccination intentions. The results suggest that VR vaccination communication can effectively increase vaccination intentions; the effect is not solely due to the technological novelty and does not depend on empathy.

Eribulin normalizes pancreatic cancer-associated fibroblasts by simulating selected features of TGFß inhibition.

BACKGROUND: Less than 11% of pancreatic cancer patients survive 5-years post-diagnosis. The unique biology of pancreatic cancer includes a significant expansion of its desmoplastic tumor microenvironment, wherein cancer-associated fibroblasts (CAFs) and their self-produced extracellular matrix are key components. CAF functions are both tumor-supportive and tumor-suppressive, while normal fibroblastic cells are solely tumor-suppressive. Knowing that CAF-eliminating drugs are ineffective and can accelerate cancer progression, therapies that "normalize" CAF function are highly pursued. Eribulin is a well-tolerated anti-microtubule drug used to treat a plethora of neoplasias, including advanced/metastatic cancers. Importantly, eribulin can inhibit epithelial to mesenchymal transition via a mechanism akin to blocking pathways induced by transforming growth factor-beta (TGFß). Notably, canonical TGFß signaling also plays a pivotal role in CAF activation, which is necessary for the development and maintenance of desmoplasia. Hence, we hypothesized that eribulin could modulate, and perhaps "normalize" CAF function. METHODS: To test this premise, we used a well-established in vivo-mimetic fibroblastic cell-derived extracellular matrix (CDM) system and gauged the effects of eribulin on human pancreatic CAFs and cancer cells. This pathophysiologic fibroblast/matrix functional unit was also used to query eribulin effects on CDM-regulated pancreatic cancer cell survival and invasive spread. RESULTS: Demonstrated that intact CAF CDMs modestly restricted eribulin from obstructing pancreatic cancer cell growth. Nonetheless, eribulin-treated CAFs generated CDMs that limited nutrient-deprived pancreatic cancer cell survival, similar to reported tumor-suppressive CDMs generated by TGFß-deficient CAFs. CONCLUSIONS: Data from this study support the central proposed premise suggesting that eribulin could be used as a CAF/matrix-normalizing drug.

NetrinG1+ cancer-associated fibroblasts generate unique extracellular vesicles that support the survival of pancreatic cancer cells under nutritional stress.

It is projected that in 5 years, pancreatic cancer will become the second deadliest cancer in the United States. A unique aspect of pancreatic ductal adenocarcinoma (PDAC) is its stroma; rich in cancer-associated fibroblasts (CAFs) and a dense CAF-generated extracellular matrix (ECM). These pathogenic stroma CAF/ECM units cause the collapse of local blood vessels rendering the tumor microenvironment nutrient-poor. PDAC cells are able to survive this state of nutrient stress via support from CAF-secreted material, which includes small extracellular vesicles (sEVs). The tumor-supportive CAFs possess a distinct phenotypic profile, compared to normal-like fibroblasts, expressing NetrinG1 (NetG1) at the plasma membrane, and active Integrin α5ß1 localized to the multivesicular bodies; traits indicative of poor patient survival. We herein report that NetG1+ CAFs secrete sEVs that stimulate Akt-mediated survival in nutrient-deprived PDAC cells, protecting them from undergoing apoptosis. Further, we show that NetG1 expression in CAFs is required for the pro-survival properties of sEVs. Additionally, we report that the above-mentioned CAF markers are secreted in distinct subpopulations of EVs; with NetG1 being enriched in exomeres, and Integrin α5ß1 being enriched in exosomes. Finally, we found that NetG1 and Integrin α5ß1 were detected in sEVs collected from plasma of PDAC patients, while their levels were significantly lower in plasma-derived sEVs of sex/age-matched healthy donors. The discovery of these tumor-supporting CAF-EVs elucidates novel avenues in tumor-stroma interactions and pathogenic stroma detection.

Characterizing Physiological Responses to Fear, Frustration, and Insight in Virtual Reality.

Physiological sensing often complements studies of human behavior in virtual reality (VR) to detect users' affective and cognitive states. Some psychological states, such as fear and frustration, can be particularly hard to differentiate from a physiological perspective as they are close in the arousal and valence emotional space. Moreover, it is largely unclear how users' physiological reactions are expressed in response to transient psychological states such as fear, frustration, and insight-especially since these are rich indicators for characterizing users' responses to dynamic systems but are hard to capture in highly interactive settings. We conducted a study ($N=24$) to analyze participants' pulmonary, electrodermal, cardiac, and pupillary responses to moments of fear, frustration, and insight in immersive settings. Participants interacted in five VR environments, throughout which we measured their physiological reactions and analyzed the patterns we observed. We also measured subjective fear and frustration using questionnaires. We found differences between fear and frustration pupillary, respiratory, and electrodermal responses, as well as between the pupillary changes that followed fear in a horror game and those that followed fear in a vertigo experiment. We present the relationships between fear levels, frustration levels, and their physiological responses. To detect these affective events and states, we introduce user-independent binary classification models that achieved an average micro $F_{1}$ score of 71% for detecting fear in a horror game, 75% for fear of vertigo, 76% for frustration, and 75% for insight, showing the promise for detecting these states from passive and objective signals.

Factors Affecting Compliance with Diabetic Retinopathy Screening: A Qualitative Study Comparing English and Spanish Speakers.

Purpose: The purpose of this study was to understand individual-, social-, and system-level factors that affect compliance with recommended diabetic retinopathy (DR)-evaluations, and how these factors vary between English and Spanish speakers. Patients and Methods: We conducted a qualitative study using semi-structured interviews. Study subjects included Kaiser Permanente Southern California members with type II diabetes mellitus at least aged 26 years who spoke English or Spanish. Patients were divided into groups based on their adherence with DR evaluations. Our main outcome measure was the major themes expressed by patients that explained their compliance with DR evaluation. Results: Fifty-one participants were enrolled: 30 English speakers (11 nonadherent, 19 adherent) and 21 Spanish speakers (8 nonadherent, 13 adherent). Adherent patients were more likely to have had experience with diabetes and identify as being responsible for their own care. Substantially more non-adherent patients suggested that beliefs and attitudes were the reasons people missed retinopathy appointments. More English-speaking participants tended to be self-directed in managing their healthcare, whereas more Spanish speakers relied on others for help. English speakers also noted better relationships with their physicians. Spanish speakers outlined problems with insurance coverage and costs as barriers. Conclusion: These data suggest two specific intervention strategies that eye care providers could implement to improve adherence with diabetic retinopathy screening and follow up: incorporating a person with DR-related visual loss into the team of staff delivering diabetes support programs and communication campaigns including specific messaging to address fears related to vision loss.

Changes in the Incidence of Retinal Vascular Occlusions After COVID-19 Diagnosis.

Importance: COVID-19 is associated with systemic vascular damage; however, the risk posed to the retinal vasculature remains incompletely understood. Objective: To assess if there is a change in the incidence of retinal vascular occlusions after COVID-19 infection. Design, Setting, and Participants: This cohort study at an integrated health care organization (Kaiser Permanente Southern California) included patients without a history of retinal vascular occlusion who were diagnosed with COVID-19 infection between January 20, 2020, and May 31, 2021. Patients were excluded if they had a history of retinal artery occlusions (RAOs) or retinal vein occlusions (RVOs) more than 6 months before their COVID-19 diagnosis or if they were enrolled in Kaiser Permanente Southern California for less than 6 months before COVID-19 diagnosis. Exposures: COVID-19 infection. Main Outcomes and Measures: The change in the average biweekly incidence of new RAOs and RVOs after COVID-19 diagnosis. Adjusted incidence rate ratios (IRRs) were calculated to compare the incidence of retinal vascular occlusions before and after COVID-19 diagnosis after accounting for baseline demographic characteristics, medical history, and hospitalization. Results: A total of 432 515 patients diagnosed with COVID-19 infection were included in this study. The mean (SD) age was 40.9 (19.2) years, and 231 767 patients (53.6%) were women. Sixteen patients had an RAO (crude incidence rate, 3.00 per 1 000 000 patients), and 65 had an RVO (crude incidence rate, 12.20 per 1 000 000 patients) in the 6 months after COVID-19 diagnosis. The incidence of new RVOs was higher in the 6 months after COVID-19 infection compared with the 6 months before infection after adjusting for age; sex; self-reported race and ethnicity; body mass index; history of diabetes, hypertension, or hyperlipidemia; and hospitalization (adjusted IRR, 1.54; 95% CI, 1.05-2.26; P = .03). There was a smaller increase in the incidence of RAOs after COVID-19 diagnosis (IRR, 1.35; 95% CI, 0.64-2.85; P = .44). The peak incidence of RAOs and RVOs occurred 10 to 12 weeks and 6 to 8 weeks after COVID-19 diagnosis, respectively. Conclusions and Relevance: The findings of this study suggest that there was an increase in the incidence of RVOs after COVID-19 infection; however, these events remain rare, and in the absence of randomized controls, a cause-and-effect relationship cannot be established. Further large, epidemiologic studies are warranted to better define the association between retinal thromboembolic events and COVID-19 infection.

Virtual reality reduces COVID-19 vaccine hesitancy in the wild: a randomized trial.

Vaccine hesitancy poses one of the largest threats to global health. Informing people about the collective benefit of vaccination has great potential in increasing vaccination intentions. This research investigates the potential for engaging experiences in immersive virtual reality (VR) to strengthen participants' understanding of community immunity, and therefore, their intention to get vaccinated. In a pre-registered lab-in-the-field intervention study, participants were recruited in a public park (tested: [Formula: see text], analyzed: [Formula: see text]). They were randomly assigned to experience the collective benefit of community immunity in a gamified immersive virtual reality environment ([Formula: see text] of sample), or to receive the same information via text and images ([Formula: see text] of sample). Before and after the intervention, participants indicated their intention to take up a hypothetical vaccine for a new COVID-19 strain (0-100 scale) and belief in vaccination as a collective responsibility (1-7 scale). The study employs a crossover design (participants later received a second treatment), but the primary outcome is the effect of the first treatment on vaccination intention. After the VR treatment, for participants with less-than-maximal vaccination intention, intention increases by 9.3 points (95% CI: 7.0 to [Formula: see text]). The text-and-image treatment raises vaccination intention by 3.3 points (difference in effects: 5.8, 95% CI: 2.0 to [Formula: see text]). The VR treatment also increases collective responsibility by 0.82 points (95% CI: 0.37 to [Formula: see text]). The results suggest that VR interventions are an effective tool for boosting vaccination intention, and that they can be applied "in the wild"-providing a complementary method for vaccine advocacy.

Potentially Harmful Medication Dispenses After a Fall or Hip Fracture: A Mixed Methods Study of a Commonly Used Quality Measure.

BACKGROUND: High-risk medication dispenses to patients with a prior fall or hip fracture represent a potentially dangerous disease-drug interaction among older adults. The research team quantified the prevalence, identified risk factors, and generated patient and provider insights into high-risk medication dispenses in a large, community-based integrated health system using a commonly used quality measure. METHODS: This was a mixed methods study with a convergent design combining a retrospective cohort study using electronic health record (EHR) data, individual interviews of primary care physicians, and a focus group of patient advisors. RESULTS: Of 113,809 patients ≥ 65 years with a fall/fracture in 2009-2015, 35.4% had a potentially harmful medication dispensed after their fall/fracture. Most medications were prescribed by primary care providers. Older age, male gender, and race/ethnicity other than non-Hispanic White were associated with a reduced risk of high-risk medication dispenses. Patients with a pre-fall/fracture medication dispense were substantially more likely to have a post-fall/fracture medication dispense (hazard ratio [HR] = 13.26, 95% confidence interval [CI] = 12.91-13.61). Both patients and providers noted that providers may be unaware of patient falls due to inconsistent assessments and patient reluctance to disclose falls. Providers also noted the lack of a standard location to document falls and limited decision support alerts within the EHR. CONCLUSION: High-risk medication dispenses are common among older patients with a history of falls/fractures. Future interventions should explore improved assessment and documentation of falls, decision support, clinician training strategies, patient educational resources, building trusting patient-clinician relationships to facilitate long-term medication discontinuation among persistent medication users, and a focus on fall prevention.