Explore the vast range of titles available.

Pulmonary nodules are common incidental findings, but information about their incidence in the era of computed tomography (CT) is lacking. To examine recent trends in pulmonary nodule identification. We used electronic health records and natural language processing to identify members of an integrated health system who had nodules measuring 4 to 30 mm. We calculated rates of chest CT imaging, nodule identification, and receipt of a new lung cancer diagnosis within 2 years of nodule identification, and standardized rates by age and sex to estimate the frequency of nodule identification in the U.S. population in 2010. Between 2006 and 2012, more than 200,000 adult members underwent 415,581 chest CT examinations. The annual frequency of chest CT imaging increased from 1.3 to 1.9% for all adult members, whereas the frequency of nodule identification increased from 24 to 31% for all scans performed. The annual rate of chest CT increased from 15.4 to 20.7 per 1,000 person-years, and the rate of nodule identification increased from 3.9 to 6.6 per 1,000 person-years, whereas the rate of a new lung cancer diagnosis remained stable. By extrapolation, more than 4.8 million Americans underwent at least one chest CT scan and 1.57 million had a nodule identified, including 63,000 who received a new lung cancer diagnosis within 2 years. Incidental pulmonary nodules are an increasingly common consequence of routine medical care, with an incidence that is much greater than recognized previously. More frequent nodule identification has not been accompanied by increases in the diagnosis of cancerous nodules.

A major challenge to the characterization of intrinsically disordered regions (IDRs), which are widespread in the proteome, but relatively poorly understood, is the identification of molecular features that mediate functions of these regions, such as short motifs, amino acid repeats and physicochemical properties. Here, we introduce a proteome-scale feature discovery approach for IDRs. Our approach, which we call “reverse homology”, exploits the principle that important functional features are conserved over evolution. We use this as a contrastive learning signal for deep learning: given a set of homologous IDRs, the neural network has to correctly choose a held-out homolog from another set of IDRs sampled randomly from the proteome. We pair reverse homology with a simple architecture and standard interpretation techniques, and show that the network learns conserved features of IDRs that can be interpreted as motifs, repeats, or bulk features like charge or amino acid propensities. We also show that our model can be used to produce visualizations of what residues and regions are most important to IDR function, generating hypotheses for uncharacterized IDRs. Our results suggest that feature discovery using unsupervised neural networks is a promising avenue to gain systematic insight into poorly understood protein sequences.

Background Adaptive shifts in gut microbiome composition are one route by which animals adapt to seasonal changes in food availability and diet. However, outside of dietary shifts, other potential environmental drivers of gut microbial composition have rarely been investigated, particularly in organisms living in their natural environments. Results Here, we generated the largest wild nonhuman primate gut microbiome dataset to date to identify the environmental drivers of gut microbial diversity and function in 758 samples collected from wild Ethiopian geladas ( Theropithecus gelada ). Because geladas live in a cold, high-altitude environment and have a low-quality grass-based diet, they face extreme thermoregulatory and energetic constraints. We tested how proxies of food availability (rainfall) and thermoregulatory stress (temperature) predicted gut microbiome composition of geladas. The gelada gut microbiome composition covaried with rainfall and temperature in a pattern that suggests distinct responses to dietary and thermoregulatory challenges. Microbial changes were driven by differences in the main components of the diet across seasons: in rainier periods, the gut was dominated by cellulolytic/fermentative bacteria that specialized in digesting grass, while during dry periods the gut was dominated by bacteria that break down starches found in underground plant parts. Temperature had a comparatively smaller, but detectable, effect on the gut microbiome. During cold and dry periods, bacterial genes involved in energy, amino acid, and lipid metabolism increased, suggesting a stimulation of fermentation activity in the gut when thermoregulatory and nutritional stress co-occurred, and potentially helping geladas to maintain energy balance during challenging periods. Conclusion Together, these results shed light on the extent to which gut microbiota plasticity provides dietary and metabolic flexibility to the host, and might be a key factor to thriving in changing environments. On a longer evolutionary timescale, such metabolic flexibility provided by the gut microbiome may have also allowed members of Theropithecus to adopt a specialized diet, and colonize new high-altitude grassland habitats in East Africa. 1akjfNgEHq-cf4GgXinJf8 Video abstract

COVID-19 vaccinations protect against severe illness and death, but associations with post-COVID conditions (PCC) are less clear. We aimed to evaluate the association between prior COVID-19 vaccination and new-onset PCC among individuals with SARS-CoV-2 infection across eight large healthcare systems in the United States. This retrospective matched cohort study used electronic health records (EHR) from patients with SARS-CoV-2 positive tests during March 2021-February 2022. Vaccinated and unvaccinated COVID-19 cases were matched on location, test date, severity of acute infection, age, and sex. Vaccination status was ascertained using EHR and integrated data on externally administered vaccines. Adjusted relative risks (RRs) were obtained from Poisson regression. PCC was defined as a new diagnosis in one of 13 PCC categories 30 days to 6 months following a positive SARS-CoV-2 test. The study included 161,531 vaccinated COVID-19 cases and 161,531 matched unvaccinated cases. Compared to unvaccinated cases, vaccinated cases had a similar or lower risk of all PCC categories except mental health disorders (RR: 1.06, 95% CI: 1.02–1.10). Vaccination was associated with ≥10% lower risk of sensory (RR: 0.90, 0.86–0.95), circulatory (RR: 0.88, 0.83–0.94), blood and hematologic (RR: 0.79, 0.71–0.89), skin and subcutaneous (RR: 0.69, 0.66–0.72), and non-specific COVID-19 related disorders (RR: 0.53, 0.51–0.56). In general, associations were stronger at younger ages but mostly persisted regardless of SARS-CoV-2 variant period, receipt of ≥3 vs. 1–2 vaccine doses, or time since vaccination. Pre-infection vaccination was associated with reduced risk of several PCC outcomes and hence may decrease the long-term consequences of COVID-19. The impact of COVID-19 vaccination on post-COVID conditions is not well understood. Here, the authors use electronic health record data from a network of eight integrated healthcare systems in the United States to compare rates of post-COVID conditions in those with and without vaccination.

Objective To characterise the relationship between simvastatin and risk of acute pancreatitis (AP). Design We conducted a retrospective cohort study (2006–2012) on data from an integrated healthcare system in southern California. Exposure to simvastatin was calculated from time of initial dispensation until 60 days following prescription termination. AP cases were defined by ICD-9 CM 577.0 and serum lipase≥3 times normal. Patients were censored at death, last follow-up, and onset of AP or end-of-study. Incidence rate of pancreatitis among simvastatin users was compared with the adult reference population. Robust Poisson regression was used to generate risk ratio (RR) estimates for simvastatin use adjusted for age, gender, race/ethnicity, gallstone-related disorders, hypertriglyceridaemia, smoking and alcohol dependence. Analysis was repeated for atorvastatin. Results Among 3 967 859 adult patients (median duration of follow-up of 3.4 years), 6399 developed an initial episode of AP. A total of 707 236 patients received simvastatin during the study period. Patients that received simvastatin were more likely to have gallstone-related disorders, alcohol dependence or hypertriglyceridaemia compared with the reference population. Nevertheless, risk of AP was significantly reduced with simvastatin use, crude incidence rate ratio 0.626 (95% CL 0.588, 0.668), p<0.0001. In multivariate analysis, simvastatin was independently associated with reduced risk of pancreatitis, adjusted RR 0.29 (95% CL 0.27, 0.31) after adjusting for age, gender, race/ethnicity, gallstone disorders, alcohol dependence, smoking and hypertriglyceridaemia. Similar results were noted with atorvastatin, adjusted RR 0.33(0.29, 0.38). Conclusions Use of simvastatin was independently associated with reduced risk of AP in this integrated healthcare setting. Similar findings for atorvastatin suggest a possible class effect.

Physical activity is crucial for child obesity prevention and intervention. Narratives embedded in active games can increase children's physical activity. Little is known about the narrative characteristics that would motivate children to exercise. We attempted to fill the gaps in understanding regarding narrative design for active video games. In this exploratory study, four animated narratives of different genres were professionally generated. Children (N=41) between the ages of 8 and 12 years were interviewed to identify their preferences. Sessions were digitally recorded, transcribed, and analyzed using exploratory thematic analysis. Findings revealed that the children rated the dystopian science fiction story as their favorite across all weight, race, and gender groups. The physical activity-friendly narrative strategies included virtuous characters, extraordinary character actions, interesting plots, super powers, and engaging cliffhangers. Alternatively, information not related to physical activity, difficult-to-follow plot lines, passive protagonists, and repetitive narrative tropes were less appealing for physical activity. This research provides preliminary evidence that narratives have characteristics that may increase child physical activity when playing active games. Future empirical studies should verify and test these design principles.

Physically active video games (AVGs) have been found to positively impact physical activity behaviors, especially when a narrative is added. However, the motivational and cognitive benefits of adding narrative to AVG are unclear. We examined the separate and additive effects of narrative and AVG on physical activity and cognitive function versus an active comparator, such as a sedentary video game (SVG). We randomly assigned young adults to one of four groups (narrative-AVG, AVG, narrative-SVG, or SVG) and had them complete sustained attention and working memory tasks before and after a 30-min experimental condition. Participants in both narrative-AVG and AVG groups achieved a moderate-intensity physical activity, while adding narrative to AVG resulted in higher step counts and more time spent in moderate-to-vigorous physical activity than AVG without narrative. Regardless of the narrative effect, participants in both AVG groups performed better on overall working memory than both SVG groups, while both AVG and SVG groups similarly achieved maximal performance in sustained attention. Working memory enhancement was positively correlated with increased heart rate. Participants in narrative-SVG group had a better response accuracy in working memory than those who played SVG without narrative. Taken together, adding narrative to AVG as a motivational component increased physical activity, which was the primary factor in the improvement of overall working memory.

Background Overweight and obesity disproportionately affect Black and Hispanic children who also play more video games. Narratives, coupled with home-based active video games (AVGs), may enhance PA and mitigate these disparities. This study tested the effect of narrative-enhanced home-based AVGs among predominantly Black and Hispanic children with overweight and obesity. Methods This 6-month three-group RCT recruited 135 children aged 7–14 from pediatric clinics in Boston, MA (January 2020 - May 2022) during the COVID-19 pandemic. Participants were randomized into: [Narrative + AVG], receiving an Xbox/Kinect with six AVGs interspersed with a narrative animation Ataraxia (72 episodes over six months), which accompanied the AVGs; [AVG Only], receiving the Xbox/Kinect and AVGs without narrative animation; and [Waitlist Control], receiving the intervention post-RCT. The primary outcome was objectively assessed daily moderate-to-vigorous PA (MVPA). Secondary outcomes included body composition (fat and lean mass, total region fat), BMI%, fasting insulin, glucose, lipid panel (Cholesterol, HDL, LDL, and Triglycerides), and C-reactive protein. Assessments occurred at baseline, 3, and 6 months. It was hypothesized that [Narrative + AVG] would outperform [AVG Only], which would outperform [Waitlist Control]. Results 79 children completed all three visits (Age = 10.9  ±  1.7; 63% Boys; 62% Black; 25% Latino; 11% Mixed; and 1% Asian). No statistically significant improvements in MVPA were observed within any condition at 3 or 6 months. A post-hoc exploratory analysis revealed that over the first three months, [Narrative + AVG] increased daily MVPA by 6.8 min compared to [Waitlist Control]. Over the same period, the [AVG Only] group exhibited 815 g less lean mass gain and 7.2 mg/dL lower HDL cholesterol levels relative to the [Waitlist Control]. Conclusions While neither narrative-enhanced AVGs nor AVGs alone consistently increased daily MVPA across the 6-month RCT, participants in the narrative AVGs group demonstrated greater daily MVPA compared to the control group during the initial three months. During this same period, the AVG-only group exhibited reduced lean mass gain and lower HDL cholesterol levels compared to the waitlist control. The added advantage of narratives was inconclusive, likely due to implementation challenges encountered during the pandemic. These findings highlight the need for addressing these challenges in future research in a fully powered study. Trial registration Active Video Games on Physical Activity (Main Trial), NCT04116515. Registered December 25, 2019, https//clinicaltrials.gov/study/NCT04116515.

Implementation science is focused on developing and evaluating methods to reduce gaps between research and practice. As healthcare organizations become increasingly accountable for equity, quality, and value, attention has been directed to identifying specific implementation strategies that can accelerate the adoption of evidence-based therapies into clinical practice. In this perspective, we offer three simple, practical strategies that can be used by frontline healthcare providers who are involved in on-the-ground implementation: people (stakeholder) engagement, process mapping, and problem solving. As a use case example, we describe the iterative application of these strategies to the implementation of a new home sleep apnea testing program for patients in the Veterans Health Administration (VA) healthcare system.

Telehealth services, specifically telemedicine audio-video and audio-only patient encounters, expanded dramatically during the COVID-19 pandemic through temporary waivers and flexibilities tied to the public health emergency. Early studies demonstrate significant potential to advance the quintuple aim (patient experience, health outcomes, cost, clinician well-being, and equity). Supported well, telemedicine can particularly improve patient satisfaction, health outcomes, and equity. Implemented poorly, telemedicine can facilitate unsafe care, worsen disparities, and waste resources. Without further action from lawmakers and agencies, payment will end for many telemedicine services currently used by millions of Americans at the end of 2024. Policymakers, health systems, clinicians, and educators must decide how to support, implement, and sustain telemedicine, and long-term studies and clinical practice guidelines are emerging to provide direction. In this position statement, we use clinical vignettes to review relevant literature and highlight where key actions are needed. These include areas where telemedicine must be expanded (e.g., to support chronic disease management) and where guidelines are needed (e.g., to prevent inequitable offering of telemedicine services and prevent unsafe or low-value care). We provide policy, clinical practice, and education recommendations for telemedicine on behalf of the Society of General Internal Medicine. Policy recommendations include ending geographic and site restrictions, expanding the definition of telemedicine to include audio-only services, establishing appropriate telemedicine service codes, and expanding broadband access to all Americans. Clinical practice recommendations include ensuring appropriate telemedicine use (for limited acute care situations or in conjunction with in-person services to extend longitudinal care relationships), that the choice of modality be done through patient-clinician shared decision-making, and that health systems design telemedicine services through community partnerships to ensure equitable implementation. Education recommendations include developing telemedicine-specific educational strategies for trainees that align with accreditation body competencies and providing educators with protected time and faculty development resources.