Constitutional mosaicism of pathogenic variants in SMARCB1 in a subset of patients with sporadic rhabdoid tumors.

BACKGROUND: Malignant rhabdoid tumors are aggressive malignancies predominantly affecting very young children. The characteristic genetic alteration is biallelic inactivation of SMARCB1. In approximately 30% of patients one SMARCB1 allele is constitutionally altered conferring a particularly unfavourable prognosis. Constitutional mosaicism for pathogenic SMARCB1 mutations has recently been reported in distinct cases of allegedly sporadic rhabdoid tumors. We aimed to systematically investigate the frequency and clinical impact of constitutional mosaicism in patients with sporadic rhabdoid tumors included in the EU-RHAB registry. METHODS: We selected 29 patients with rhabdoid tumors displaying at least one pathogenic small variant in SMARCB1 in the tumor DNA and absence of a germline mutation. We re-screened blood-derived patient and control DNA for the respective small variant by PCR with unique molecular identifiers and ultra-deep next generation sequencing. Clinical data in patients with and without mosaicism and 174 EU-RHAB controls were compared. RESULTS: Employing an ultra-deep sequencing approach, we detected tumor-associated SMARCB1 variants in blood-derived DNA in 9/29 patients. In 6/29 patients (21%), whose variant allele frequency (VAF) exceeded 2%, constitutional mosaicism was assumed whereas tumor DNA contamination was documented in 1/3 patients with VAF below 1%. No significant differences were observed between 6 mosaic-positive and 20 -negative patients regarding age at diagnosis, presence of metastases, event-free or overall survival. CONCLUSION: Constitutional mosaicism for pathogenic small SMARCB1 variants is recurrent in patients with allegedly sporadic rhabdoid tumors. The clinical implications of such variants need to be determined in larger, prospective cohorts also including detection of structural variants of SMARCB1.

Development and validation of an open-source pipeline for automatic population of case report forms from electronic health records: a pediatric multi-center prospective study.

BACKGROUND: Clinical trials and registry studies are essential for advancing research and developing novel treatments. However, these studies rely on manual entry of thousands of variables for each patient. Repurposing real-world data can significantly simplify the data collection, reduce transcription errors, and make the data entry process more efficient, consistent, and cost-effective. METHODS: We developed an open-source computational pipeline to collect laboratory and medication information from the electronic health record (EHR) data and populate case report forms. The pipeline was developed and validated with data from two independent pediatric hospitals in the US as part of the Long-terM OUtcomes after Multisystem Inflammatory Syndrome In Children (MUSIC) study. Our pipeline allowed the completion of two of the most time-consuming forms. We compared automatically extracted results with manually entered values in one hospital and applied the pipeline to a second hospital, where the output served as the primary data source for case report forms. FINDINGS: We extracted and populated 51,845 laboratory and 4913 medication values for 159 patients in two hospitals participating in a prospective pediatric study. We evaluated pipeline performance against data for 104 patients manually entered by clinicians in one of the hospitals. The highest concordance was found during patient hospitalization, with 91.59% of the automatically extracted laboratory and medication values corresponding with the manually entered values. In addition to the successfully populated values, we identified an additional 13,396 laboratory and 567 medication values of interest for the study. INTERPRETATION: The automatic data entry of laboratory and medication values during admission is feasible and has a high concordance with the manually entered data. By implementing this proof of concept, we demonstrate the quality of automatic data extraction and highlight the potential of secondary use of EHR data to advance medical science by improving data entry efficiency and expediting clinical research. FUNDING: NIH Grant 1OT3HL147154-01, U24HL135691, UG1HL135685.

Quantifying the association between doula care and maternal and neonatal outcomes.

BACKGROUND: The United States suffers from an increasing rate of severe maternal morbidity, paired with a wide disparity in maternal health by race. Doulas are posited to be a useful resource to increase positive outcomes and to decrease this disparity. OBJECTIVE: This study aimed to evaluate the association between doula care and a broad range of maternal and neonatal outcomes in various subpopulations. STUDY DESIGN: This was a retrospective cohort study of deliveries that were recorded from January 2021 to December 2022 at a single institution where they received prenatal care. The exposure was receipt of doula care prenatally and at delivery. We evaluated both the maternal (cesarean delivery, cesarean delivery of nulliparous, term, singleton, vertex infant, vaginal birth after cesarean, gestational hypertension, preeclampsia, postpartum emergency department visit, readmission, and attendance of postpartum office visit) and neonatal (neonatal intensive care unit admission, unexpected complications in term newborns, breastfeeding, preterm delivery, and intrauterine growth restriction) outcomes. Because our institution previously employed targeted outreach by offering doula services to patients at highest risk, we used multiple methods to generate an appropriate comparison population. We conducted a multivariate logistic regression and conditional regressions using propensity scores to model the likelihood of doula care to generate adjusted risk differences associated with doula care. Analyses were repeated in populations stratified by race (White vs Black) and then by payor status (public vs commercial). RESULTS: Our cohort included 17,831 deliveries; 486 of those received doula care and 17,345 did not. Patients who received doula care were more likely to self-report Black race, be publicly insured, and to live in a more disadvantaged neighborhood. Regardless of the analytical approach, for every 100 patients who received doula care, there were 15 to 34 more vaginal births after cesarean (adjusted risk difference, 15.6; 95% confidence interval, 3.8-27.4; adjusted risk difference, 34.2; 95% confidence interval, 0.046-68.0) and 5 to 6 more patients who attended a postpartum office visit (adjusted risk difference, 5.4; 95% confidence interval, 1.4-9.5; adjusted risk difference, 6.8; 95% confidence interval, 3.7-9.9) when compared with those who did not receive doula services. Infants born to these patients were 20% more like likely to be exclusively breastfed (adjusted risk ratio, 1.22; 95% confidence interval, 1.07-1.38), and doula care was associated with 3 to 4 fewer preterm births (adjusted risk difference, -3.8; 95% confidence interval, -6.1 to -1.5; -4.0; 95% confidence interval, -6.2 to -1.8) for every 100 deliveries that received doula care. Results were consistent regardless of race or insurance. Results were also consistent when doula care was redefined as having at least 3 prenatal encounters with a doula. CONCLUSION: Doula care was associated with more vaginal births after cesarean delivery, improved attendance of postpartum office visits, improved breastfeeding rates, and fewer preterm deliveries. The effect of doula care was consistent across race and insurance status.

Latent disentanglement in mesh variational autoencoders improves the diagnosis of craniofacial syndromes and aids surgical planning.

BACKGROUND AND OBJECTIVE: The use of deep learning to undertake shape analysis of the complexities of the human head holds great promise. However, there have traditionally been a number of barriers to accurate modelling, especially when operating on both a global and local level. METHODS: In this work, we will discuss the application of the Swap Disentangled Variational Autoencoder (SD-VAE) with relevance to Crouzon, Apert and Muenke syndromes. The model is trained on a dataset of 3D meshes of healthy and syndromic patients which was increased in size with a novel data augmentation technique based on spectral interpolation. Thanks to its semantically meaningful and disentangled latent representation, SD-VAE is used to analyse and generate head shapes while considering the influence of different anatomical sub-units. RESULTS: Although syndrome classification is performed on the entire mesh, it is also possible, for the first time, to analyse the influence of each region of the head on the syndromic phenotype. By manipulating specific parameters of the generative model, and producing procedure-specific new shapes, it is also possible to approximate the outcome of a range of craniofacial surgical procedures. CONCLUSION: This work opens new avenues to advance diagnosis, aids surgical planning and allows for the objective evaluation of surgical outcomes. Our code is available at github.com/simofoti/CraniofacialSD-VAE.

AI-based diagnosis and phenotype - Genotype correlations in syndromic craniosynostoses.

Apert (AS), Crouzon (CS), Muenke (MS), Pfeiffer (PS), and Saethre Chotzen (SCS) are among the most frequently diagnosed syndromic craniosynostoses. The aims of this study were (1) to train an innovative model using artificial intelligence (AI)-based methods on two-dimensional facial frontal, lateral, and external ear photographs to assist diagnosis for syndromic craniosynostoses vs controls, and (2) to screen for genotype/phenotype correlations in AS, CS, and PS. We included retrospectively and prospectively, from 1979 to 2023, all frontal and lateral pictures of patients genetically diagnosed with AS, CS, MS, PS and SCS syndromes. After a deep learning-based preprocessing, we extracted geometric and textural features and used XGboost (eXtreme Gradient Boosting) to classify patients. The model was tested on an independent international validation set of genetically confirmed patients and non-syndromic controls. Between 1979 and 2023, we included 2228 frontal and lateral facial photographs corresponding to 541 patients. In all, 70.2% [0.593-0.797] (p < 0.001) of patients in the validation set were correctly diagnosed. Genotypes linked to a splice donor site of FGFR2 in Crouzon-Pfeiffer syndrome (CPS) caused a milder phenotype in CPS. Here we report a new method for the automatic detection of syndromic craniosynostoses using AI.

Using A Disentangled Neural Network to Objectively Assess the Outcomes of Midfacial Surgery in Syndromic Craniosynostosis.

BACKGROUND: Advancements in artificial intelligence and the development of shape models that quantify normal head shape and facial morphology provide frameworks by which the outcomes of craniofacial surgery can be compared. In this work, we will demonstrate the use of the Swap Disentangled Variational Autoencoder (SD-VAE) to objectively assess changes following midfacial surgery. MATERIALS AND METHODS: Our model is trained on a dataset of 1405 3D meshes of healthy and syndromic patients which was augmented using a technique based on spectral interpolation. Patients with a diagnosis of Apert and Crouzon syndrome who had undergone sub- or trans-cranial midfacial procedures utilising rigid external distraction were then interpreted using this model as the point of comparison. RESULTS: A total of 56 patients met our inclusion criteria, 20 with Apert and 36 with Crouzon syndrome. By using linear discriminant analysis to project the high-dimensional vectors derived by SD-VAE onto a 2D space, the shape properties of Apert and Crouzon syndrome can be visualised in relation to the healthy population. In this way, we are able to show how surgery elicits global shape changes in each patient. To assess the regional movements achieved during surgery, we use a novel metric derived from the Malahanobis distance to quantify movements through the latent space. CONCLUSION: Objective outcome evaluation, which encourages in-depth analysis and enhances decision making, is essential for the progression of surgical practice. We have demonstrated how artificial intelligence has the ability to improve our understanding of surgery and its effect on craniofacial morphology.

A Multifaceted Assessment of Benign Prostatic Hyperplasia Practice and AUA Guideline Adherence.

INTRODUCTION: Guidelines for benign prostatic hyperplasia (BPH) were initially formulated by the AUA to provide evidence-based reasoning for the management and care of men suffering from lower urinary tract symptoms due to BPH. Recommendations for a urinalysis and validated symptom questionnaire (AUA Symptom Score [AUASS]/International Prostate Symptom Score [IPSS]) have been long standing, making these data points a metric for examining guidelines adherence. METHODS: A survey assessed providers' awareness of AUA BPH guidelines and practice patterns, and was sent to a randomly selected portion of the AUA membership. The AUA Quality (AQUA) Registry was queried to assess testing and practice patterns. RESULTS: Of 4884 invitations sent, 404 responses were received. Most survey respondents (91.8%) indicate they intend to get a urinalysis at initial evaluation. AQUA data found urinalysis was obtained in only 22.8% of patients. Symptom questionnaire use increased with increasing guideline familiarity, with 95.7% of those who are "extremely familiar" routinely using AUASS/IPSS compared to only 69.4% who are "somewhat familiar" (P < .005). Utilization increased by a factor of 2.7 (P < .005) for each increment in familiarity. The lowest use of AUASS/IPSS was in the group within 5 years of finishing training (P = .069). CONCLUSIONS: Discrepancies are noted between our practice survey and AQUA data. The AUASS/IPSS is less commonly used by providers with less guideline familiarity and in providers with the least clinical experience. The intent to obtain urinalysis is high; however, actual testing is unfortunately infrequent. These findings could point toward the need for increasing education of providers with regard to clinical guidelines.

Potential, Pitfalls, and Future Directions for Remote Monitoring of Chronic Respiratory Diseases: Multicenter Mixed Methods Study in Routine Cystic Fibrosis Care.

BACKGROUND: The current literature inadequately addresses the extent to which remote monitoring should be integrated into care models for chronic respiratory diseases (CRDs). OBJECTIVE: This study examined a remote monitoring program (RMP) in cystic fibrosis (CF) by exploring experiences, future perspectives, and use behavior over 3 years, with the aim of developing future directions for remote monitoring in CRDs. METHODS: This was a mixed methods, multicenter, observational study in 5 Dutch CF centers following a sequential explanatory design. Self-designed questionnaires using the technology acceptance model were sent out to people with CF who had a minimum of 12 months of experience with the RMP and local health care professionals (HCPs). Questionnaire outcomes were used to inform semistructured interviews with HCPs and people with CF. Qualitative findings were reported following the COREQ (Consolidated Criteria for Reporting Qualitative Research) checklist. Anonymous data on use frequency of all people with CF were analyzed. RESULTS: Between the second quarter of 2020 and the end of 2022, a total of 608 people with CF were enrolled in the program, and a total of 9418 lung function tests and 2631 symptom surveys were conducted. In total, 65% (24/37) of HCPs and 89% (72/81) of people with CF responded to the questionnaire, and 7 HCPs and 12 people with CF participated in semistructured interviews. Both people with CF and HCPs were positive about remote monitoring in CF care and found the RMP a good addition to daily care (people with CF: 44/72, 61%; HCPs: 21/24, 88%). Benefits ranged from supporting individual patients to reducing health care consumption. The most valued monitoring tool was home spirometry by both people with CF (66/72, 92%) and HCPs (22/24, 92%). Downsides included the potential to lose sight of patients and negative psychosocial effects, as 17% (12/72) of people with CF experienced some form of stress due to the RMP. A large majority of people with CF (59/72, 82%) and HCPs (22/24, 92%) wanted to keep using the RMP in future, with 79% (19/24) of HCPs and 75% (54/72) of people with CF looking forward to more replacement of in-person care with digital care during periods of well-being. Future perspectives for the RMP were centered on creating hybrid care models, personalizing remote care, and balancing individual benefits with monitoring burden. CONCLUSIONS: Remote monitoring has considerable potential in supporting people with CF and HCPs within the CF care model. We identified 4 practice-based future directions for remote monitoring in CF and CRD care. The strategies, ranging from patient driven to prediction driven, can help clinicians, researchers, and policy makers navigate the rapidly changing digital health field, integrate remote monitoring into local care models, and align remote care with patient and clinician needs.

Clinical Outcomes Associated With a Remote Postpartum Hypertension Monitoring Program.

OBJECTIVE: To evaluate differences in health care utilization and guideline adherence for postpartum individuals with hypertensive disorders of pregnancy (HDP) who are engaged in a remote monitoring program, compared with usual care. METHODS: This was a retrospective cohort study of postpartum individuals with HDP who delivered between March 2019 and June 2023 at a single institution. The primary exposure was enrollment in a remote hypertension management program that relies on patient home blood pressure (BP) measurement and centralized nursing team management. Patients enrolled in the program were compared with those receiving usual care. Outcomes included postpartum readmission, office visit within 6 weeks postpartum, BP measurement within 10 days, and initiation of antihypertensive medication. We performed multivariable logistic and conditional regression in a propensity score matched cohort. Propensity scores, generated by modeling likelihood of program participation, were assessed for even distribution by group, ensuring standardized bias of less than 10% after matching. RESULTS: Overall, 12,038 eligible individuals (6,556 participants, 5,482 in the control group) were included. Program participants were more likely to be White, commercially insured, be diagnosed with preeclampsia, and have higher prenatal and inpatient postpartum BPs. Differences in baseline factors were well-balanced after implementation of propensity score. Program enrollment was associated with lower 6-week postpartum readmission rates, demonstrating 1 fewer readmission for every 100 individuals in the program (propensity score-matched adjusted risk difference [aRD] -1.5, 95% CI, -2.6 to -0.46; adjusted risk ratio [aRR] 0.78, 95% CI, 0.65-0.93). For every 100 individuals enrolled in the program, 85 more had a BP recorded within 10 days (propensity score-matched aRD 85.4, 95% CI, 84.3-86.6), and six more had a 6-week postpartum office visit (propensity score-matched aRD 5.7, 95% CI, 3.9-7.6). Program enrollment was also associated with increased initiation of an antihypertensive medication postpartum (propensity score-matched aRR 4.44, 95% CI, 3.88-5.07). CONCLUSION: Participation in a postpartum remote BP monitoring program was associated with fewer postpartum hospital readmissions, higher attendance at postpartum visits, improved guideline adherence, and higher rates of antihypertensive use.

Prognostic impact of quantitative flow ratio (QFR)-consistent complete revascularization in patients with myocardial infarction and multivessel coronary artery disease.

BACKGROUND: Complete revascularization is associated with improved outcomes in patients with myocardial infarction and multivessel coronary artery disease. Quantitative flow ratio (QFR) represents an emerging angiography-based tool for functional lesion assessment. The present study investigated the prognostic impact of QFR-consistent complete revascularization in patients with myocardial infarction and multivessel disease. METHODS: A total of 792 patients with myocardial infarction and multivessel disease were enrolled in the analysis. Post-hoc QFR analyses of 1,320 nonculprit vessels were performed by investigators blinded to clinical outcomes. The primary endpoint was a composite of all-cause death, nonculprit vessel related nonfatal myocardial infarction, and ischemia-driven revascularization at 2 years after index myocardial infarction. Patients were stratified into a QFR-consistent PCI group (n = 646) and a QFR-inconsistent PCI group (n = 146), based on whether the intervention was congruent with the QFR-determined functional significance of the nonculprit lesions. RESULTS: The primary endpoint occurred in a total of 22 patients (3.4%) in the QFR-consistent PCI group and in 27 patients (18.5%) in the QFR-inconsistent group (HR 0.17, 95% CI 0.10-0.30, P < .001).The difference in the primary endpoint was driven by reduced rates of nonfatal myocardial infarction (2.0% vs. 15.1%; HR 0.13, 95% CI 0.06-0.25; P < .001) and ischemia-driven revascularization (1.2% vs. 5.5%; HR 0.21, 95% CI 0.08-0.57; P = .001) in the QFR-consistent PCI group. CONCLUSIONS: Among patients with myocardial infarction and multivessel disease, a QFR-consistent complete revascularization was associated with a reduced risk of all-cause mortality, nonfatal myocardial infarction, and ischemia-driven revascularization. These findings underline the value of angiography-based functional lesion assessment for personalized revascularization strategies.

Integrative network analysis of miRNA-mRNA expression profiles during epileptogenesis in rats reveals therapeutic targets after emergence of first spontaneous seizure.

Epileptogenesis is the process by which a normal brain becomes hyperexcitable and capable of generating spontaneous recurrent seizures. The extensive dysregulation of gene expression associated with epileptogenesis is shaped, in part, by microRNAs (miRNAs) - short, non-coding RNAs that negatively regulate protein levels. Functional miRNA-mediated regulation can, however, be difficult to elucidate due to the complexity of miRNA-mRNA interactions. Here, we integrated miRNA and mRNA expression profiles sampled over multiple time-points during and after epileptogenesis in rats, and applied bi-clustering and Bayesian modelling to construct temporal miRNA-mRNA-mRNA interaction networks. Network analysis and enrichment of network inference with sequence- and human disease-specific information identified key regulatory miRNAs with the strongest influence on the mRNA landscape, and miRNA-mRNA interactions closely associated with epileptogenesis and subsequent epilepsy. Our findings underscore the complexity of miRNA-mRNA regulation, can be used to prioritise miRNA targets in specific systems, and offer insights into key regulatory processes in epileptogenesis with therapeutic potential for further investigation.

Depression prevalence of the Geriatric Depression Scale-15 was compared to Structured Clinical Interview for DSM using individual participant data meta-analysis.

Depression questionnaire cutoffs are calibrated for screening accuracy and not to assess prevalence, but the Geriatric Depression Scale (GDS-15) is often used to estimate diagnostic prevalence among older adults, most commonly with scores of ≥ 5. We conducted an individual participant data meta-analysis to compare depression prevalence based on GDS-15 ≥ 5 to Structured Clinical Interview for Diagnostic and Statistical Manual (SCID) diagnoses and assessed whether an alternative cutoff could be more accurate. We used generalized linear mixed models to estimate prevalence. Data from 14 studies (3602 participants, 434 SCID major depression) were included. Pooled GDS-15 ≥ 5 prevalence was 34.2% (95% confidence interval [CI] 27.5-41.6%), and pooled SCID prevalence was 14.8% (95% CI 10.0-21.5%; difference of 17.6%, 95% CI 11.6-23.6%). GDS-15 ≥ 8 provided the closest estimate to SCID with mean difference of - 0.3% (95% prediction interval - 17.0-16.5%). Prevalence estimate differences were not associated with study or participant characteristics. In sum, GDS-15 ≥ 5 substantially overestimated depression prevalence. A cutoff of ≥ 8 was accurate overall, but heterogeneity was too high for implementation in practice. Validated diagnostic interviews should be used to estimate major depression prevalence among older adults.

The contribution of community-based conservation models to conserving large herbivore populations.

In East Africa, community-based conservation models (CBCMs) have been established to support the conservation of wildlife in fragmented landscapes like the Tarangire Ecosystem, Tanzania. To assess how different management approaches maintained large herbivore populations, we conducted line distance surveys and estimated seasonal densities of elephant, giraffe, zebra, and wildebeest in six management units, including three CBCMs, two national parks (positive controls), and one area with little conservation interventions (negative control). Using a Monte-Carlo approach to propagate uncertainties from the density estimates and trend analysis, we analyzed the resulting time series (2011-2019). Densities of the target species were consistently low in the site with little conservation interventions. In contrast, densities of zebra and wildebeest in CBCMs were similar to national parks, providing evidence that CBCMs contributed to the stabilization of these migratory populations in the central part of the ecosystem. CBCMs also supported giraffe and elephant densities similar to those found in national parks. In contrast, the functional connectivity of Lake Manyara National Park has not been augmented by CBCMs. Our analysis suggests that CBCMs can effectively conserve large herbivores, and that maintaining connectivity through CBCMs should be prioritized.

Design, Development, and Functional Validation of a 3D-Printed Passive Upper Limb Exoskeleton.

Motor disability in children is evident in diagnoses such as cerebral palsy, muscular dystrophy, multiple sclerosis, or spinal muscular atrophy, among others, due to altered movement and postural patterns. This becomes more evident as the child grows and can be treated with physical therapy. The effectiveness of early interventions in facilitating an improvement in daily life activities varies depending on the child's condition. In this context, the use of exoskeletons has emerged in recent years as a valuable resource for conducting more efficient therapy processes. This work describes the design (both structural and functional) and preliminary usability and functional validation of a 3D-printed passive upper limb exoskeleton. The goal is to provide clinicians with an efficient, low-cost device that is both easy to manufacture and assemble and, in a gamified environment, serves as an assistive device to physical therapy. The device features 5 degrees of freedom, enabling both a pro-gravity and an anti-gravity mode, controlled by a series of elastic bands. This gives rise to a dual operating mode, offering assistance or resistance to different arm, forearm, and shoulder-dependent movements. Usability validation conducted by exoskeleton users showed average results in all aspects rated above 3.8 out of 5, which implies levels of satisfaction between "quite satisfied" and "very satisfied". The analysis of metrics recorded during therapy, such as the Hand Path Ratio and Success Rate (capturing user movements using an inertial sensor in the gamified environment), as well as the range of motion, reveals quantifiable improvements which can be attributed to the use of the exoskeleton: the Hand Path Ratio tended to approach 1 throughout sessions in almost all the users, the Success Rate remained stable (as users consistently were capable of completing the assigned tasks), and the range of motion showed that all patients achieved improvements of more than 10 degrees in some of the tested movements). These functional validation processes involved the participation of 7 children with varying levels of upper limb neuro-motor impairments.

Exploring the psychosocial burden of foot complications in diabetes: A cross-sectional survey and qualitative interview study in a United Kingdom coastal community.

BACKGROUND: Foot complications in diabetes are common and destructive, resulting in substantial healthcare costs and high rates of morbidity. Coastal areas have a significantly higher burden of disease. People with diabetes experience disproportionately high rates of psychological health issues, including anxiety, depression and diabetes distress. These can affect self-management and concordance with preventive measures and treatments of foot complications, negatively impacting on outcomes. Access to psychological health services is variable across the United Kingdom and there is a paucity of high-quality evidence for the effectiveness of treatments for diabetes distress. This study aimed to explore experiences of psychosocial burden and perceptions and experiences of psychosocial support, among patients with diabetes and foot complications living in a coastal area. METHODS: Patients were eligible to participate if they had experienced diabetes-related foot complications (amputation, ulceration and/or Charcot neuroarthropathy) within the last 5 years and scored positive for diabetes distress on a validated screening tool (DDS2). Eligible patients completed cross-sectional questionnaires describing symptoms of diabetes distress (DDS17), anxiety (GAD-7) and depression (PHQ-9) and to take part in a face-to-face, semi-structured interview. Questionnaires were analysed using frequencies and interviews were analysed using reflexive thematic analysis. RESULTS: A total of 183 patients completed the DDS2 screening questionnaire. Of these, 56 (30.6%) screened positive for diabetes distress. Twenty-seven patients completed DDS17, GAD-7 and PHQ-9 questionnaires. Eleven (40.7%) participants indicated high levels of diabetes distress and four (14.8%) indicated moderate distress. Seventeen participants (age range 52-81 years; 12 men) took part in an interview. Four key themes were identified: impact of living with foot problems; emotional consequences of foot problems; experiences and perceptions of psychological support; and strategies to cope with the emotional impact of foot problems. CONCLUSION: Diabetes distress was prevalent among patients with diabetes-related foot complications. Foot problems impacted on participants' daily activities, social lives and ability to work. Despite expressing feelings of ongoing fear, worry and depression relating to their foot problems, only one participant had accessed formal psychological support. Many participants relied on talking to podiatrists at routine appointments and described developing various strategies to cope. The psychosocial burden of living with foot complications in diabetes must not be overlooked by health professionals. Findings from this study can inform the design of future services and interventions.

HPV vaccine-related articles shared on Facebook from 2019 to 2021: Did COVID make a difference?

Objective: HPV vaccination is recommended for children beginning at age 9 to prevent several types of cancer. Many parents turn to Facebook for health information. This study describes changes in HPV vaccine-related articles shared on Facebook amidst the COVID-19 pandemic. Methods: HPV-related articles shared on Facebook (2019-2021) were collected using Buzzsumo, a social media analytics tool and analyzed using content analysis. Articles were categorized by valence, misinformation, evidence types, persuasive tactics, and framing. We quantified these data and tested for difference by article year. Results: Of the 138 included articles, 51% had positive valence towards the vaccine and 36% had negative valence. In 2021, there was a significant increase in positive messaging (72% vs. 44% in 2019/2020; p < 0.01) and misinformation decreased from 50% in 2019 to 24% in 2021 (p = 0.04). Persuasive strategies were more common in 2019 than in later years. Conclusion: Despite decreased engagement in 2021, more positive HPV vaccine messaging was observed, although a quarter of articles still contained misinformation. Our results can inform strategies for communicating with parents about the HPV vaccine. Innovation: Our study is the first to analyze HPV-related articles linked on Facebook and to assess for differences during the pandemic.

Barriers to and facilitators of implementing colorectal cancer screening evidence-based interventions in federally qualified health centers: a qualitative study.

BACKGROUND: There is an urgent need to increase colorectal cancer screening (CRCS) uptake in Texas federally qualified health centers (FQHCs), which serve a predominantly vulnerable population with high demands. Empirical support exists for evidence-based interventions (EBIs) that are proven to increase CRCS; however, as with screening, their use remains low in FQHCs. This study aimed to identify barriers to and facilitators of implementing colorectal cancer screening (CRCS) evidence-based interventions (EBIs) in federally qualified health centers (FQHCs), guided by the Consolidated Framework for Implementation Research (CFIR). METHODS: We recruited employees involved in implementing CRCS EBIs (e.g., physicians) using data from a CDC-funded program to increase the CRCS in Texas FQHCs. Through 23 group interviews, we explored experiences with practice change, CRCS promotion and quality improvement initiatives, organizational readiness, the impact of COVID-19, and the use of CRCS EBIs (e.g., provider reminders). We used directed content analysis with CFIR constructs to identify the critical facilitators and barriers. RESULTS: The analysis revealed six primary CFIR constructs that influence implementation: information technology infrastructure, innovation design, work infrastructure, performance measurement pressure, assessing needs, and available resources. Based on experiences with four recommended EBIs, participants described barriers, including data limitations of electronic health records and the design of reminder alerts targeted at deliverers and recipients of patient or provider reminders. Implementation facilitators include incentivized processes to increase provider assessment and feedback, existing clinic processes (e.g., screening referrals), and available resources to address patient needs (e.g., transportation). Staff buy-in emerged as an implementation facilitator, fostering a conducive environment for change within clinics. CONCLUSIONS: Using CFIR, we identified barriers, such as the burden of technology infrastructure, and facilitators, such as staff buy-in. The results, which enhance our understanding of CRCS EBI implementation in FQHCs, provide insights into designing nuanced, practical implementation strategies to improve cancer control in a critical setting.

Cardiovascular magnetic resonance imaging-derived intraventricular pressure gradients in ST-segment elevation myocardial infarction: a long-term follow-up study.

Aims: Recently, novel post-processing tools have become available that measure intraventricular pressure gradients (IVPGs) on routinely obtained long-axis cine cardiac magnetic resonance (CMR) images. IVPGs provide a comprehensive overview of both systolic and diastolic left ventricular (LV) functions. Whether IVPGs are associated with clinical outcome after ST-elevation myocardial infarction (STEMI) is currently unknown. Here, we investigated the association between CMR-derived LV-IVPGs and major adverse cardiovascular events (MACE) in a large reperfused STEMI cohort with long-term outcome. Methods and results: In this prospectively enrolled multi-centre cohort study, 307 patients underwent CMR within 14 days after the first STEMI. LV-IVPGs (from apex-to-base) were estimated on the long-axis cine images. During a median follow-up of 9.7 (5.9-12.5) years, MACE (i.e. composite of cardiovascular death and de novo heart failure hospitalisation) occurred in 49 patients (16.0%). These patients had larger infarcts, more often microvascular injury, and impaired LV-IVPGs. In univariable Cox regression, overall LV-IVPG was significantly associated with MACE and remained significantly associated after adjustment for common clinical risk factors (hazard ratio (HR) 0.873, 95% confidence interval (CI) 0.794-0.961, P = 0.005) and myocardial injury parameters (HR 0.906, 95% CI 0.825-0.995, P = 0.038). However, adjusted for LV ejection fraction and LV global longitudinal strain (GLS), overall LV-IVPG does not provide additional prognostic information (HR 0.959, 95% CI 0.866-1.063, P = 0.426). Conclusion: Early after STEMI, CMR-derived LV-IVPGs are univariably associated with MACE and this association remains significant after adjustment for common clinical risk factors and measures of infarct severity. However, LV-IVPGs do not add prognostic value to LV ejection fraction and LV GLS.