-
Cardiovascular and Interventional... Jun 2024Demonstrating the safety and efficacy of percutaneous irreversible electroporation (IRE) for the treatment of lymph node metastases.
PURPOSE
Demonstrating the safety and efficacy of percutaneous irreversible electroporation (IRE) for the treatment of lymph node metastases.
MATERIALS AND METHODS
An IRB-approved, single-center retrospective review was performed on patients with lymph node metastases gastrointestinal, and genitourinary primary cancers. Primary objective safety was evaluated by assessing complications graded according to the Clavien-Dindo Classification, and efficacy was determined by tumor response on follow-up imaging and local progression-free survival (LPFS). Secondary outcome measures were technical success (complete ablation with an adequate ablative margin > 5 mm), length of hospital stay and distant progression-free survival (DPFS).
RESULTS
Nineteen patients underwent percutaneous IRE between June 2018 and February 2023 for lymph node metastases, close to critical structures, such as vasculature, bowel, or nerves. The technical success was achieved in all cases. Complications occurred in four patients (21.1%), including two self-limiting grade 1 hematomas, a grade 1 abdominal pain, and grade 2 nerve pain treated with medication. Seventeen patients were hospitalized overnight, one patient stayed two nights and another patient stayed fourteen nights. Median follow-up was 25.5 months. Median time to local progression was 24.1 months (95% CI: 0-52.8) with 1-, 2-, and 5-year LPFS of 57.9%, 57.9% and 20.7%, respectively. Median time to distant progression was 4.3 months (95% CI: 0.3-8.3) with 1-, 2-, and 5-year DPFS of 31.6%, 13.2% and 13.2%, respectively.
CONCLUSION
IRE is a safe and effective minimally-invasive treatment for lymph node metastases in locations, where temperature dependent ablation may be contraindicated. Care should be taken when employing IRE near nerves.
PubMed: 38943032
DOI: 10.1007/s00270-024-03795-w -
Journal of General Internal Medicine Jun 2024South Asian immigrants in the United States face an elevated risk of developing type 2 diabetes (T2DM). This phenomenon has been linked to lifestyle factors and social...
South Asian immigrants in the United States face an elevated risk of developing type 2 diabetes (T2DM). This phenomenon has been linked to lifestyle factors and social determinants of health (SDOH) such as high-carbohydrate diet, limited physical activity, and stress from assimilation and other life challenges. Unfortunately, barriers stemming from language discordance, low health literacy, and certain cultural practices can hinder effective clinical management of T2DM among South Asian immigrants. In this perspective, we address these sociocultural barriers and propose culturally informed recommendations to improve healthcare delivery for South Asian groups and empower South Asian patients to self-manage T2DM. Our recommendations include (1) considerations and support for SDOH in South Asian communities, (2) culturally tailored healthcare delivery for South Asians, (3) mHealth technologies for T2DM education and self-management; and (4) enhanced epidemiological and South Asian-centric research.
PubMed: 38943015
DOI: 10.1007/s11606-024-08902-8 -
Journal of General Internal Medicine Jun 2024Diabetes self-management education and support can be effectively and efficiently delivered in primary care in the form of shared medical appointments (SMAs)....
BACKGROUND
Diabetes self-management education and support can be effectively and efficiently delivered in primary care in the form of shared medical appointments (SMAs). Comparative effectiveness of SMA delivery features such as topic choice, multi-disciplinary care teams, and peer mentor involvement is not known.
OBJECTIVE
To compare effects of standardized and patient-driven models of diabetes SMAs on patient-level diabetes outcomes.
DESIGN
Pragmatic cluster randomized trial.
PARTICIPANTS
A total of 1060 adults with type 2 diabetes in 22 primary care practices.
INTERVENTIONS
Practice personnel delivered the 6-session Targeted Training in Illness Management (TTIM) curriculum using either standardized (set content delivered by a health educator) or patient-driven SMAs (patient-selected topic order delivered by health educators, behavioral health providers [BHPs], and peer mentors).
MAIN MEASURES
Outcomes included self-reported diabetes distress and diabetes self-care behaviors from baseline and follow-up surveys (assessed at 1st and final SMA session), and HbA1c, BMI, and blood pressure from electronic health records. Analyses used descriptive statistics, linear regression, and linear mixed models.
KEY RESULTS
Both standardized and patient-driven SMAs effectively improved diabetes distress, self-care behaviors, BMI (- 0.29 on average), and HbA1c (- 0.45% (mmol/mol) on average, 8.3 to 7.8%). Controlling for covariates, there was a small, significant effect of condition on overall diabetes distress in favor of standardized SMAs (F(1,841) = 4.3, p = .04), attributable to significant effects of condition on emotion and regimen distress subscales. There was a small, significant effect of condition on diastolic blood pressure in favor of standardized SMAs (F(1,5199) = 4.50, p = .03). There were no other differences between conditions.
CONCLUSIONS
Both SMA models using the TTIM curriculum yielded significant improvement in diabetes distress, self-care, and HbA1c. Patient-driven diabetes SMAs involving BHPs and peer mentors and topic selection did not lead to better clinical or patient-reported outcomes than standardized diabetes SMAs facilitated by a health educator following a set topic order.
NIH TRIAL REGISTRY NUMBER
NCT03590041.
PubMed: 38943014
DOI: 10.1007/s11606-024-08868-7 -
European Journal of Pediatrics Jun 2024Anterior and posterior drooling are prevalent comorbidities in children with neurodevelopmental disabilities. Considering the heterogeneity of the patient population and...
UNLABELLED
Anterior and posterior drooling are prevalent comorbidities in children with neurodevelopmental disabilities. Considering the heterogeneity of the patient population and the multifactorial aetiology of drooling, an interdisciplinary and individualised treatment approach is indispensable. However, no tool for stepwise decision-making in the treatment of paediatric drooling has been developed previously. Within the Radboudumc Amalia Children's Hospital, care for children with anterior and/or posterior drooling secondary to neurodevelopmental disabilities is coordinated by a saliva control team with healthcare professionals from six disciplines. In alignment with international literature, published guidelines, and evidence gained from two decades of experience and research by our team, this paper proposes an algorithm reflecting the assessment and treatment approach applied in our clinic. First, directions are provided to decide on the necessity of saliva control treatment, taking type of drooling, the child's age, and the severity and impact of drooling into account. Second, the algorithm offers guidance on the choice between available treatment options, highlighting the importance of accounting for child characteristics and child and caregiver preferences in clinical (shared) decision-making.
CONCLUSIONS
With this algorithm, we aim to emphasise the importance of repeated stepwise decision-making in the assessment and treatment of drooling in children during their childhood, encouraging healthcare professionals to apply a holistic approach.
WHAT IS KNOWN
• Children with anterior or posterior drooling secondary to neurodevelopmental disabilities comprise a heterogeneous group, necessitating an individualised treatment approach. • No stepwise decision-making tool is available for the treatment of paediatric drooling.
WHAT IS NEW
• Deciding on the necessity of saliva control treatment should be a conscious process, based on type of drooling, age, and drooling severity and impact. • Type of drooling, age, cognition, oral motor skills, self-awareness, posture, diagnosis, and child/caregiver preferences need to be considered to decide on the optimal treatment.
PubMed: 38943011
DOI: 10.1007/s00431-024-05658-5 -
Social Psychiatry and Psychiatric... Jun 2024Paranoid ideation is common among adolescents, yet little is known about the precursors. Using a novel immersive virtual reality (VR) paradigm, we tested whether...
PURPOSE
Paranoid ideation is common among adolescents, yet little is known about the precursors. Using a novel immersive virtual reality (VR) paradigm, we tested whether experiences of bullying, and other interpersonal/threatening events, are associated with paranoid ideation to a greater degree than other types of (i) non-interpersonal events or (ii) adverse childhood experiences.
METHODS
Self-reported exposure to adverse life events and bullying was collected on 481 adolescents, aged 11-15. We used mixed effects (multilevel) linear regression to estimate the magnitude of associations between risk factors and paranoid ideation, assessed by means of adolescents' reactions to ambiguously behaving avatars in a VR school canteen, adjusting for putative confounders (gender, year group, ethnicity, free school meal status, place of birth, family mental health problems).
RESULTS
Lifetime exposure to interpersonal/threatening events, but not non-interpersonal events or adverse circumstances, was associated with higher levels of state paranoid ideation, with further evidence that the effect was cumulative (1 type: ϐ 0.07, 95% CI -0.01-0.14; 2 types: ϐ 0.14, 95% CI 0.05-0.24; 3 + types: ϐ 0.24, 95% CI 0.12-0.36). More tentatively, for girls, but not boys, recent bullying was associated with heightened paranoid ideation with effect estimates ranging from ϐ 0.06 (95% CI -0.02-0.15) for physical bullying to ϐ 0.21 (95% CI 0.10-0.32) for cyber bullying.
CONCLUSIONS
Our data suggest a degree of specificity for adversities involving interpersonal threat or hostility, i.e. those that involve unwanted interference and/or attempted control of an individual's personal boundaries being associated with heightened levels of state paranoid ideation among adolescents.
PubMed: 38942902
DOI: 10.1007/s00127-024-02701-6 -
Scientific Reports Jun 2024Metacognitive biases have been repeatedly associated with transdiagnostic psychiatric dimensions of 'anxious-depression' and 'compulsivity and intrusive thought',...
Metacognitive biases have been repeatedly associated with transdiagnostic psychiatric dimensions of 'anxious-depression' and 'compulsivity and intrusive thought', cross-sectionally. To progress our understanding of the underlying neurocognitive mechanisms, new methods are required to measure metacognition remotely, within individuals over time. We developed a gamified smartphone task designed to measure visuo-perceptual metacognitive (confidence) bias and investigated its psychometric properties across two studies (N = 3410 unpaid citizen scientists, N = 52 paid participants). We assessed convergent validity, split-half and test-retest reliability, and identified the minimum number of trials required to capture its clinical correlates. Convergent validity of metacognitive bias was moderate (r(50) = 0.64, p < 0.001) and it demonstrated excellent split-half reliability (r(50) = 0.91, p < 0.001). Anxious-depression was associated with decreased confidence (β = - 0.23, SE = 0.02, p < 0.001), while compulsivity and intrusive thought was associated with greater confidence (β = 0.07, SE = 0.02, p < 0.001). The associations between metacognitive biases and transdiagnostic psychiatry dimensions are evident in as few as 40 trials. Metacognitive biases in decision-making are stable within and across sessions, exhibiting very high test-retest reliability for the 100-trial (ICC = 0.86, N = 110) and 40-trial (ICC = 0.86, N = 120) versions of Meta Mind. Hybrid 'self-report cognition' tasks may be one way to bridge the recently discussed reliability gap in computational psychiatry.
Topics: Humans; Metacognition; Female; Male; Adult; Psychometrics; Reproducibility of Results; Middle Aged; Young Adult; Depression; Bias; Anxiety; Smartphone; Cross-Sectional Studies
PubMed: 38942811
DOI: 10.1038/s41598-024-64900-0 -
Scientific Reports Jun 2024Self-reported shorter/longer sleep duration, insomnia, and evening preference are associated with hyperglycaemia in observational analyses, with similar observations in...
Self-reported shorter/longer sleep duration, insomnia, and evening preference are associated with hyperglycaemia in observational analyses, with similar observations in small studies using accelerometer-derived sleep traits. Mendelian randomization (MR) studies support an effect of self-reported insomnia, but not others, on glycated haemoglobin (HbA1c). To explore potential effects, we used MR methods to assess effects of accelerometer-derived sleep traits (duration, mid-point least active 5-h, mid-point most active 10-h, sleep fragmentation, and efficiency) on HbA1c/glucose in European adults from the UK Biobank (UKB) (n = 73,797) and the MAGIC consortium (n = 146,806). Cross-trait linkage disequilibrium score regression was applied to determine genetic correlations across accelerometer-derived, self-reported sleep traits, and HbA1c/glucose. We found no causal effect of any accelerometer-derived sleep trait on HbA1c or glucose. Similar MR results for self-reported sleep traits in the UKB sub-sample with accelerometer-derived measures suggested our results were not explained by selection bias. Phenotypic and genetic correlation analyses suggested complex relationships between self-reported and accelerometer-derived traits indicating that they may reflect different types of exposure. These findings suggested accelerometer-derived sleep traits do not affect HbA1c. Accelerometer-derived measures of sleep duration and quality might not simply be 'objective' measures of self-reported sleep duration and insomnia, but rather captured different sleep characteristics.
Topics: Humans; Mendelian Randomization Analysis; Glycated Hemoglobin; Accelerometry; Sleep; Blood Glucose; Male; Female; Middle Aged; Adult; Self Report; Aged; Sleep Initiation and Maintenance Disorders
PubMed: 38942746
DOI: 10.1038/s41598-024-58007-9 -
Ultrasound in Medicine & Biology Jun 2024To enhance the quality of low-resolution (LR) ultrasound images and mitigate artifacts and speckle noise, which can impede accurate medical diagnosis, a novel method...
OBJECTIVE
To enhance the quality of low-resolution (LR) ultrasound images and mitigate artifacts and speckle noise, which can impede accurate medical diagnosis, a novel method called the dual frequency-domain guided adaptation model (DF-GAM) is proposed. The method aims to achieve high-quality image reconstruction across diverse domains, including different ultrasound machines, diseases and phantom images.
METHODS
DF-GAM utilizes a dual-branch network architecture combined with frequency-domain self-adaptation and self-supervised edge regression. This approach enables cross-domain enhancement by focusing on the reconstruction of clear tissue structures and speckle patterns. The model is designed to adapt to various ultrasound imaging (USI) scenarios, ensuring its applicability in real-world clinical settings.
RESULTS
Experimental evaluations of DF-GAM were conducted using five different datasets. The results demonstrated the method's effectiveness, with DF-GAM outperforming existing enhancement techniques. The average peak signal-to-noise ratio (PSNR) achieved was 34.62, and the structural similarity index (SSIM) was 0.91, indicating a significant improvement in image quality compared to other methods.
CONCLUSION
DF-GAM shows great potential in improving medical image diagnosis and interpretation. Its ability to enhance LR ultrasound images across various domains without the need for extensive training data makes it a valuable tool for clinical use. The high PSNR and SSIM scores validate the method's effectiveness, suggesting that DF-GAM could significantly contribute to the field of USI diagnostics.
PubMed: 38942620
DOI: 10.1016/j.ultrasmedbio.2024.05.020 -
European Journal of Public Health Jun 2024The role of the social environment can facilitate positive health outcomes through active community engagement, normalization of healthy behaviors, and stress buffering....
The role of the social environment can facilitate positive health outcomes through active community engagement, normalization of healthy behaviors, and stress buffering. We aim to examine the associations of neighborhood social cohesion with changes in BMI over time. A total of 7641 participants from The Maastricht Study between the ages of 40 and 75 years were analyzed. Weight and height were measured at baseline, and weight was self-reported annually up to 10 years of follow-up (median = 4.7 years). Perceived social cohesion was obtained by questionnaire. Home addresses for each participant were linked to geographic information system data from the Geoscience and Health Cohort Consortium to create neighborhood exposure variables including area level social cohesion, neighborhood walkability, and food environment within a 1000 m Euclidian buffer. Linear regression analyses were performed with BMI adjusted for socioeconomic variables. A mixed model analysis was carried out to examine changes in BMI. Living in the highest quartile area of individually perceived social cohesion was associated with lower BMI (Q4 B: -.53; 95% CI = -.79, -.28) compared to the lowest quartile. Similar findings were discovered using the area level measure (Q4 B: -.97; 95% CI = -1.29, -.65). There was no longitudinal association between social cohesion and BMI. Neighborhood social cohesion was associated with lower BMI classifying it as an obesogenic area characteristic that influences weight, independent of conventional built environment features.
PubMed: 38942603
DOI: 10.1093/eurpub/ckae109 -
Briefings in Bioinformatics May 2024Accurate understanding of the biological functions of enzymes is vital for various tasks in both pathologies and industrial biotechnology. However, the existing methods...
Accurate understanding of the biological functions of enzymes is vital for various tasks in both pathologies and industrial biotechnology. However, the existing methods are usually not fast enough and lack explanations on the prediction results, which severely limits their real-world applications. Following our previous work, DEEPre, we propose a new interpretable and fast version (ifDEEPre) by designing novel self-guided attention and incorporating biological knowledge learned via large protein language models to accurately predict the commission numbers of enzymes and confirm their functions. Novel self-guided attention is designed to optimize the unique contributions of representations, automatically detecting key protein motifs to provide meaningful interpretations. Representations learned from raw protein sequences are strictly screened to improve the running speed of the framework, 50 times faster than DEEPre while requiring 12.89 times smaller storage space. Large language modules are incorporated to learn physical properties from hundreds of millions of proteins, extending biological knowledge of the whole network. Extensive experiments indicate that ifDEEPre outperforms all the current methods, achieving more than 14.22% larger F1-score on the NEW dataset. Furthermore, the trained ifDEEPre models accurately capture multi-level protein biological patterns and infer evolutionary trends of enzymes by taking only raw sequences without label information. Meanwhile, ifDEEPre predicts the evolutionary relationships between different yeast sub-species, which are highly consistent with the ground truth. Case studies indicate that ifDEEPre can detect key amino acid motifs, which have important implications for designing novel enzymes. A web server running ifDEEPre is available at https://proj.cse.cuhk.edu.hk/aihlab/ifdeepre/ to provide convenient services to the public. Meanwhile, ifDEEPre is freely available on GitHub at https://github.com/ml4bio/ifDEEPre/.
Topics: Deep Learning; Enzymes; Computational Biology; Software; Proteins; Databases, Protein; Algorithms
PubMed: 38942594
DOI: 10.1093/bib/bbae225