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Edited by
Camran R. Nezhat, Stanford University School of Medicine, California,Farr R. Nezhat, Nezhat Surgery for Gynecology/Oncology, New York,Ceana Nezhat, Nezhat Medical Center, Atlanta,Nisha Lakhi, Richmond University Medical Center, New York,Azadeh Nezhat, Nezhat Institute and Center for Special Minimally Invasive and Robotic Surgery, California
Paleontology provides insights into the history of the planet, from the origins of life billions of years ago to the biotic changes of the Recent. The scope of paleontological research is as vast as it is varied, and the field is constantly evolving. In an effort to identify “Big Questions” in paleontology, experts from around the world came together to build a list of priority questions the field can address in the years ahead. The 89 questions presented herein (grouped within 11 themes) represent contributions from nearly 200 international scientists. These questions touch on common themes including biodiversity drivers and patterns, integrating data types across spatiotemporal scales, applying paleontological data to contemporary biodiversity and climate issues, and effectively utilizing innovative methods and technology for new paleontological insights. In addition to these theoretical questions, discussions touch upon structural concerns within the field, advocating for an increased valuation of specimen-based research, protection of natural heritage sites, and the importance of collections infrastructure, along with a stronger emphasis on human diversity, equity, and inclusion. These questions offer a starting point—an initial nucleus of consensus that paleontologists can expand on—for engaging in discussions, securing funding, advocating for museums, and fostering continued growth in shared research directions.
Genetic testing has become an essential tool in managing psychiatric conditions among individuals with intellectual and developmental disabilities (IDD). The frequent presence of genetic syndromes within this population underscores the value of genetic insights for guiding personalized treatment. By integrating pharmacogenetics into care, clinicians enhance medication efficacy and reducing the likelihood of adverse effects.
Objectives
This study aims to elucidate the role of genetic testing in identifying specific syndromes and psychiatric comorbidities in IDD, explore the application of pharmacogenetic insights to optimize psychiatric medication management, and highlight case examples that demonstrate how genetic insights influence treatment decisions.
Methods
A targeted literature review identified relevant studies on genetic syndromes linked to IDD, the impact of genetic testing in psychiatric care, and the application of pharmacogenetic data in guiding medication management. Key studies examined the pharmacogenetic profiles of individuals with IDD and their effects on treatment outcomes, focusing on findings that can inform personalized treatment strategies.
Results
Fragile X syndrome (FXS), a prevalent genetic disorder among IDD populations, is associated with high rates of anxiety, ADHD, and autism spectrum disorder (ASD). Research shows that stimulant medications commonly used for ADHD may worsen agitation in individuals with FXS, making non-stimulant options or behavioral therapies preferable. Pharmacogenetic findings, such as variations in serotonin-related gene polymorphisms, have been linked to increased aggression and stereotypic behaviors in males with FXS, guiding clinicians toward selective serotonin reuptake inhibitors (SSRIs) or alternative behavioral approaches. In cases of DiGeorge syndrome (22q11.2 deletion syndrome), genetic testing identifies an increased risk for psychotic disorders, and genetic variants may affect drug metabolism. Findings from the IMPACT study, a Centre for Addiction and Mental Health (CAMH) project, highlight the benefits of tailoring medications based on genetic markers, such as CYP2D6 and CYP2C19 enzyme activity. These insights improve outcomes by reducing side effects like sedation and enhancing therapeutic efficacy, especially for IDD patients who may respond unpredictably to psychiatric medications.
Conclusions
Genetic testing is invaluable in the psychiatric management of individuals with IDD, offering insights that enable more personalized and effective treatment approaches. By identifying genetic syndromes and incorporating pharmacogenetic data into medication planning, clinicians can minimize adverse effects, tailor therapies, and improve patient outcomes. Ongoing research and broader access to pharmacogenetic testing are essential to further refine treatment protocols for the IDD population.
Adults with intellectual and developmental disabilities (IDD) often struggle to access suitable psychiatric care due to cognitive and communication challenges. Traditional mental health services are not always well-equipped for these needs, highlighting a critical need for evidence-based, IDD-specific guidelines. Expanding research, especially randomized controlled trials (RCTs), is essential to develop personalized, effective treatments for this population.
Objectives
This poster aims to outline current gaps in psychiatric care for adults with IDD, propose strategies for treatment adaptation, and emphasize research priorities to advance evidence-based care for this underserved group.
Methods
A literature review assessed studies on treatment adaptations for IDD, focusing on the effectiveness of current interventions and limitations in existing research. Priority was given to innovative care approaches and adaptations in standard mental health treatments.
Results
Psychiatric care for adults with IDD often involves adapting treatments like cognitive-behavioral therapy (CBT) and pharmacotherapy with simplified, patient-centered methods. For example, CBT adaptations may include breaking techniques into smaller steps, using visual aids, and shorter sessions, which accommodate cognitive limitations. Personalized care is essential due to varying abilities within this population. Pharmacological treatments also require careful titration and close monitoring, as the risk of side effects is higher among those with IDD. However, few RCTs assess the efficacy and safety of treatments for severe psychiatric disorders in the IDD population, underscoring the need for more rigorous research to support clinical guidelines. To overcome recruitment and follow-up barriers in RCTs, studies suggest alternative methods such as targeted outreach through day centers, provider organizations, and one-on-one approaches, which have been effective in reducing dropout rates. Furthermore, bipolar disorder treatment in IDD is particularly under-researched, despite its significant impact on quality of life, highlighting a need for focused studies in this area.
Conclusions
Enhancing psychiatric care for adults with IDD will require systemic changes, including increased research funding, IDD-specific clinical guidelines, and improved provider training. RCTs focused on adapted therapies and pharmacological interventions are crucial to build a strong evidence base. By promoting individualized, evidence-based approaches, the field can better meet the unique needs of adults with IDD, ultimately improving mental health outcomes and quality of life.
Adults with intellectual and developmental disabilities (IDD) have higher rates of psychiatric disorders, such as depression, anxiety, and bipolar disorder, compared to the general population. Unique challenges, like cognitive impairments and communication barriers, require tailored treatments. This poster reviews strategies for managing these conditions in adults with IDD, focusing on adaptations in psychopharmacology and psychotherapy.
Objectives
To outline treatment approaches for depression, anxiety, and bipolar disorder in adults with IDD, highlight limitations and necessary adaptations, and advocate for collaborative treatment models involving healthcare providers and caregivers.
Methods
A literature review identified studies and guidelines on psychopharmacologic and psychotherapeutic interventions tailored to adults with IDD, examining the effectiveness of pharmacological agents, cognitive behavioral therapy (CBT), and other adaptations.
Results
Current treatments for depression, anxiety, and bipolar disorder in adults with intellectual and developmental disabilities (IDD) often deviate from standard protocols, requiring modifications in both pharmacological and therapeutic approaches. Depression management in IDD typically relies on selective serotonin reuptake inhibitors (SSRIs), adapted with gradual dose escalation and close monitoring due to limited data on their specific effects in this population. Psychotherapy, particularly group cognitive behavioral therapy (CBT), has shown notable efficacy, with studies reporting significant symptom reduction in treated groups. For anxiety disorders, low-dose SSRIs remain the primary pharmacological option, with cautious titration to minimize adverse effects, while benzodiazepines are generally avoided to prevent paradoxical responses and disinhibition. CBT-based interventions, including graduated exposure therapy customized for specific phobias or triggers, show promise, though further randomized trials are warranted. Managing bipolar disorder in IDD is particularly challenging due to the heightened risk of severe functional impairment and symptom overlap, with mood stabilizers like lithium and antipsychotics administered sparingly given potential metabolic and neurological side effects. Given limited research, clinical strategies often rely on individualized treatment plans informed by provider expertise and patient-specific needs.
Conclusions
Treatment for psychiatric disorders in adults with IDD requires significant adaptation, with careful dosing and monitoring of medications to minimize adverse effects. Evidence supports CBT as an effective option, yet there is a critical need for more research, especially randomized trials, to develop more robust guidelines specific to this population. Close collaboration between healthcare providers and caregivers is essential for successful outcomes.
Adults with intellectual and developmental disabilities (IDD) are more likely than the general population to experience psychiatric disorders, with prevalence rates estimated at 33-40%. These individuals often display atypical symptoms, complicating diagnosis. Primary care providers are often the first to encounter these patients but face challenges due to limited training and “diagnostic overshadowing”—the misattribution of psychiatric symptoms to the IDD itself rather than recognizing comorbid mental health conditions.
Objectives
This study aims to: (1) highlight the prevalence and unique presentations of psychiatric disorders in adults with IDD, (2) discuss diagnostic challenges, particularly diagnostic overshadowing, in primary care, and (3) advocate for collaborative care models to improve diagnostic accuracy and outcomes.
Methods
A literature review across PubMed, Medline, and PsycINFO focused on studies addressing psychiatric prevalence in IDD, diagnostic barriers, and the efficacy of collaborative care models in managing complex cases in primary care.
Results
Adults with IDD show high rates of mood disorders, anxiety, ADHD, and psychotic disorders, often presenting atypically. For example, ADHD may show as prolonged attentional and behavioral difficulties, impacting social and functional skills. Anxiety may present as agitation or sensitivity to routine changes, often misinterpreted as behavioral issues. Mood disorders, especially depression, tend to appear as irritability or somatic complaints, which are frequently attributed to the IDD itself. Psychotic disorders are also prevalent, particularly among individuals with certain genetic syndromes, and complicate diagnosis due to overlapping symptoms.
Diagnostic overshadowing significantly impacts accurate psychiatric diagnosis in adults with IDD, as primary care providers often attribute psychiatric symptoms to the disability itself. Limited IDD-specific training in primary care compounds this issue. Collaborative care models, where primary care providers collaborate with mental health specialists familiar with IDD, show promise in addressing these diagnostic and treatment challenges, especially for complex cases.
Conclusions
Effective psychiatric care for adults with IDD requires specialized provider training, comprehensive evaluations sensitive to atypical presentations, and collaborative care models. Addressing diagnostic overshadowing through improved training and integrated care can enhance psychiatric outcomes for this underserved population. Further research, particularly randomized controlled trials, is needed to develop evidence-based guidelines for tailored care in adults with IDD.
Autism Spectrum Disorder (ASD) is characterized by social interaction challenges, repetitive behaviors, and behavioral issues such as irritability, aggression, and hyperactivity. These symptoms lead to significant functional impairments, placing emotional and financial burdens on caregivers. Current treatment options include second-generation antipsychotics (SGAs) and selective serotonin reuptake inhibitors (SSRIs), but direct comparisons of their efficacy in managing ASD-related behaviors are limited.
Objectives
This review aims to compare the efficacy and safety of SGAs and SSRIs in reducing behavioral symptoms in children and adolescents with ASD.
Methods
A comprehensive systematic review by Lamy et al. (2020) evaluated over 50 studies on pharmacotherapy for ASD, including randomized clinical trials (RCTs) of SGAs like risperidone and aripiprazole. Other studies focused on specific SSRIs, such as citalopram, in ASD populations. Additionally, two notable trials were included: Ghanizadeh et al. (2014), which compared aripiprazole and risperidone, and King et al. (2009), a placebo-controlled study on citalopram.
Results
Lamy et al. reported that SGAs, particularly risperidone and aripiprazole, significantly reduced irritability scores on the Aberrant Behavior Checklist (ABC) and Clinical Global Impression (CGI) scales (p<0.05), aligning with their FDA approval for ASD treatment. Ghanizadeh et al. (2014) also found that aripiprazole and risperidone reduced ABC scores (12.6 points for aripiprazole and 9 points for risperidone), though both were associated with side effects, such as increased appetite (34.5% for aripiprazole and 40% for risperidone) and drooling.
In contrast, King et al. (2009) found no significant improvement with citalopram over placebo (CGI-I improvement: 32.9% for citalopram vs. 34.2% for placebo) and noted more adverse effects in the SSRI group, including impulsiveness and insomnia. The review highlighted limitations, including methodological heterogeneity, lack of direct comparisons between SGAs and SSRIs, and variability in treatment duration.
Conclusions
In conclusion, SGAs appear more effective than SSRIs in managing ASD-related behavioral symptoms, particularly irritability. Despite limitations, SGAs show consistent benefits with a manageable safety profile. Future research should prioritize direct SGA vs. SSRI trials and longer treatment durations to inform clinical decision-making in ASD pharmacotherapy.
Mental ill-health has a major impact on young people, with pain often co-occurring. We estimated the prevalence and impact of pain in young people with mental ill-health.
Methods
Longitudinal data (baseline and three-month follow-up) of 1,107 Australian young people (aged 12–25 years) attending one of five youth mental health services. Multi-level linear mixed models estimated associations between pain characteristics (frequency, intensity, and limitations) and outcomes with false discovery rate (FDR) adjustment. Pain characteristics were baseline-centered to estimate if the baseline score (between-participant effect) and/or change from baseline (within-participant effect) was associated with outcomes.
Results
At baseline, 16% reported serious pain more than 3 days, 51% reported at least moderate pain, and 25% reported pain-related activity limitations in the last week. Between participants, higher serious pain frequency was associated with greater anxiety symptoms (β[95%CI]: 0.90 [0.45, 1.35], FDR-p=0.001), higher pain intensity was associated with greater symptoms of depression (1.50 [0.71, 2.28], FDR-p=0.001), anxiety (1.22 [0.56, 1.89], FDR-p=0.002), and suicidal ideation (3.47 [0.98, 5.96], FDR-p=0.020), and higher pain limitations were associated with greater depressive symptoms (1.13 [0.63, 1.63], FDR-p<0.001). Within participants, increases in pain intensity were associated with increases in tobacco use risk (1.09 [0.48, 1.70], FDR-p=0.002), and increases in pain limitations were associated with increases in depressive symptoms (0.99 [0.54, 1.43], FDR-p<0.001) and decreases in social and occupational functioning (−1.08 [−1.78, −0.38], FDR-p=0.009).
Conclusions
One-in-two young people seeking support for mental ill-health report pain. Youth mental health services should consider integrating pain management.
Background: Non-pharmacological interventions that promote self-management are crucial for individuals with mild cognitive impairment (MCI.) Mindfulness training has shown promise but is often not tailored to MCI. Methods: In 2021, the Neil and Susan Manning Cognitive Health Initiative (CHI) - a collaboration between the Vancouver Island Health Authority, Universities of BC and Victoria, and the Victoria Hospitals Foundation - partnered with the BC Association for Living Mindfully (BCALM) to develop a specialized mindfulness program for MCI, based on Mindfulness-Based Stress Reduction (MBSR). This multi-phase initiative aimed to enhance self-management, address the lack of outpatient services for MCI in Victoria, and contribute to the evidence base for mindfulness interventions. Results: Phase 1 assessed the BCALM program’s suitability for MCI; feedback included suggestions to simplify content and meditations. Phase 2 piloted an adapted version, with an 8-week program consisting of weekly sessions. Participants, recruited from the Seniors Outpatient Clinic in Victoria, completed pre- and post-program surveys; results showed over 90% of participants reported improved memory and coping, and 80% managed memory-related challenges better. Conclusions: Now in Phase 3, the MCI program is being transitioned into regular BCALM curriculum, with plans for a clinical trial comparing it to traditional psychoeducational approaches.
Background: Neck vessel imaging is often performed in hyperacute stroke to allow neurointerventionalists to estimate access complexity. This study aimed to assess clinician agreement on catheterization strategies based on imaging in these scenarios. Methods: An electronic portfolio of 60 patients with acute ischemic stroke was sent to 53 clinicians. Respondents were asked: (1) the difficulty of catheterization through femoral access with a regular Vertebral catheter, (2) whether to use a Simmons or reverse-curve catheter initially, and (3) whether to consider an alternative access site. Agreement was assessed using Fleiss’ Kappa statistics. Results: Twenty-two respondents (7 neurologists, 15 neuroradiologists) completed the survey. Overall there was slight interrater agreement (κ=0.17, 95% CI: 0.10–0.25). Clinicians with >50 cases annually had better agreement (κ=0.22) for all questions than those with fewer cases (κ=0.07). Agreement did not significantly differ by imaging modality: CTA (κ=0.18) and MRA (κ=0.14). In 40/59 cases (67.80%), at least 25% of clinicians disagreed on whether to use a Simmons or reverse-curve catheter initially. Conclusions: Agreement on catheterization strategies remains fair at best. Our results suggest that visual assessment of pre-procedural vessels imaging is not reliable for the estimation of endovascular access complexity.
Background: Attitudes toward aging influence many health outcomes, yet their relationship with cognition and Alzheimer’s disease (AD) remains unknown. To better understand their impact on cognition and AD risk, we examined whether positive attitudes predict better cognition and diminished risk on AD biomarkers. Methods: A subsample of older adults with a family history of AD (n=54; women=39) from the McGill PREVENT-AD cohort participated in this study. Participants completed the Attitudes to Ageing Questionnaire (AAQ-24), providing three scores: psychosocial loss, psychological growth and physical change. Participants underwent cognitive testing (Rey Auditory Verbal Learning Test, RAVLT; Delis-Kaplan Executive Function System-Color Word Interference Test, D-KEFS-CWIT), and AD blood-based biomarker assessments (p-tau217, Aβ42/40). Regression models tested associations, adjusting for covariates (age, sex, education, depression, APOE4), and were Bonferroni corrected. Results: Positive attitudes were associated with better recall and recognition (RAVLT) and improved word reading, colour naming, switching, and inhibition (D-KEFS-CWIT) (p<0.00077), while negative attitudes showed the opposite pattern. Negative attitudes were correlated with lower Aβ42/40 ratios, while positive attitudes were linked to lower p-tau217 (p<0.0167). Conclusions: These findings demonstrate that positive attitudes predict better cognition and a lower risk profile for AD biomarkers, suggesting that life outlook may be an early disease feature or a risk factor.
This paper discusses the propagation of coastal currents generated by a river outflow using a 1 ${1}/{2}$-layer, quasigeostrophic model, following Johnson et al. (2017) (JSM17). The model incorporates two key physical processes: Kelvin-wave-generated flow and vortical advection along the coast. We extend JSM17 by deriving a fully nonlinear, long-wave, dispersive equation governing the evolution of the coastal current width. Numerical solutions show that, at large times, the flow behaviour divides naturally into three regimes: a steady outflow region, intermediate regions consisting of constant-width steady currents and unsteady propagating fronts leading the current. The widths of the steady currents depend strongly on dispersion when the constant outflow potential-vorticity anomaly is negative. Simulations using contour dynamics show that the dispersive equation captures the full quasigeostrophic behaviour more closely than JSM17 and give accurate bounds on the widths of the steady currents.
Constrained econometric techniques hamper investigations of disease prevalence and income risks in the shrimp industry. We employ an econometric model and machine learning (ML) to reduce model restrictions and improve understanding of the influence of diseases and climate on income and disease risks. An interview of 534 farmers with the models enables the discernment of factors influencing shrimp income and disease risks. ML complemented the Just-Pope production model, and the partial dependency plots show nonlinear relationships between income, disease prevalence, and risk factors. Econometric and ML models generated complementary information to understand income and disease prevalence risk factors.
Evaluate impact of COVID-19 prevention training with video-based feedback on nursing home (NH) staff safety behaviors.
Design:
Public health intervention
Setting & Participants:
Twelve NHs in Orange County, California, 6/2020-4/2022
Methods:
NHs received direct-to-staff COVID-19 prevention training and weekly feedback reports with video montages about hand hygiene, mask-wearing, and mask/face-touching. One-hour periods of recorded streaming video from common areas (breakroom, hallway, nursing station, entryway) were sampled randomly across days of the week and nursing shifts for safe behavior. Multivariable models assessed the intervention impact.
Results:
Video auditing encompassed 182,803 staff opportunities for safe behavior. Hand hygiene errors improved from first (67.0%) to last (35.7%) months of the intervention, decreasing 7.6% per month (OR = 0.92, 95% CI = 0.92–0.93, P < 0.001); masking errors improved from first (10.3 %) to last (6.6%) months of the intervention, decreasing 2.3% per month (OR = 0.98, 95% CI = 0.97–0.99, P < 0.001); face/mask touching improved from first (30.0%) to last (10.6%) months of the intervention, decreasing 2.5% per month (OR = 0.98, 95% CI = 0.97–0.98, P < 0.001). Hand hygiene errors were most common in entryways and on weekends, with similar rates across shifts. Masking errors and face/mask touching errors were most common in breakrooms, with the latter occurring most commonly during the day (7A.M.–3P.M.) shift, with similar rates across weekdays/weekends. Error reductions were seen across camera locations, days of the week, and nursing shifts, suggesting a widespread benefit within participating NHs.
Conclusion:
Direct-to-staff training with video-based feedback was temporally associated with improved hand hygiene, masking, and face/mask-touching behaviors among NH staff during the COVID-19 pandemic.
Objectives/Goals: We describe the prevalence of individuals with household exposure to SARS-CoV-2, who subsequently report symptoms consistent with COVID-19, while having PCR results persistently negative for SARS-CoV-2 (S[+]/P[-]). We assess whether paired serology can assist in identifying the true infection status of such individuals. Methods/Study Population: In a multicenter household transmission study, index patients with SARS-CoV-2 were identified and enrolled together with their household contacts within 1 week of index’s illness onset. For 10 consecutive days, enrolled individuals provided daily symptom diaries and nasal specimens for polymerase chain reaction (PCR). Contacts were categorized into 4 groups based on presence of symptoms (S[+/-]) and PCR positivity (P[+/-]). Acute and convalescent blood specimens from these individuals (30 days apart) were subjected to quantitative serologic analysis for SARS-CoV-2 anti-nucleocapsid, spike, and receptor-binding domain antibodies. The antibody change in S[+]/P[-] individuals was assessed by thresholds derived from receiver operating characteristic (ROC) analysis of S[+]/P[+] (infected) versusS[-]/P[-] (uninfected). Results/Anticipated Results: Among 1,433 contacts, 67% had ≥1 SARS-CoV-2 PCR[+] result, while 33% remained PCR[-]. Among the latter, 55% (n = 263) reported symptoms for at least 1 day, most commonly congestion (63%), fatigue (63%), headache (62%), cough (59%), and sore throat (50%). A history of both previous infection and vaccination was present in 37% of S[+]/P[-] individuals, 38% of S[-]/P[-], and 21% of S[+]/P[+] (P<0.05). Vaccination alone was present in 37%, 41%, and 52%, respectively. ROC analyses of paired serologic testing of S[+]/P[+] (n = 354) vs. S[-]/P[-] (n = 103) individuals found anti-nucleocapsid data had the highest area under the curve (0.87). Based on the 30-day antibody change, 6.9% of S[+]/P[-] individuals demonstrated an increased convalescent antibody signal, although a similar seroresponse in 7.8% of the S[-]/P[-] group was observed. Discussion/Significance of Impact: Reporting respiratory symptoms was common among household contacts with persistent PCR[-] results. Paired serology analyses found similar seroresponses between S[+]/P[-] and S[-]/P[-] individuals. The symptomatic-but-PCR-negative phenomenon, while frequent, is unlikely attributable to true SARS-CoV-2 infections that go missed by PCR.
Objectives/Goals: Cerebral amyloid angiopathy (CAA) characterized by the accumulation of amyloid-beta in the cerebrovasculature, affects blood vessel integrity leading to brain hemorrhages and an accelerated cognitive decline in Alzheimer’s disease patients. In this study, we are conducting a genome-wide association study to identify genetic risk factors for CAA. Methods/Study Population: We genotyped 1253 additional AD cases using and curated existing genome-wide genotype data from 110 AD and 502 non-AD donors from the Mayo Clinic Brain Bank. We performed QC and imputation of all datasets. We conducted GWAS in AD only (N = 1,363), non-AD only, as well as the combined cohort (N = 1,865) by testing imputed variant dosages for association with square root transformed CAA using linear regression, adjusting for relevant covariates. To assess associations in the context of major CAA risk factors, we performed interaction analysis with APOEe4 presence and sex; and pursued stratified analyses. We collected peripheral gene expression measures using RNA isolated from 188 PAXgene tube samples of 95 donors collected across multiple time points. More than 1/3 of these participants have MRI measures collected. Results/Anticipated Results: Variants at the APOE locus were identified as the most significant in our study. In addition, several other variants with suggestive association were found under the main model adjusting for AD neuropathology (Braak and Thal). LINC-PINT splice variant remained associated with lower CAA scores in AD cases without the APOEe4 risk allele. To enhance the robustness of our findings, we are pursuing further expansion of our study cohort. In the periphery, we expect to identify expression changes associated with neuroimaging indicators of CAA and determine if variants and genes discovered via GWAS are implicated in these changes. Discussion/Significance of Impact: We expect this study will provide further insight into the genetic architecture underlying risk for CAA both in the context of significant AD pathology and without. Characterization of genetic variants and functional outcomes in the context of neuropathology may lead to new avenues of research aimed at identifying biomarkers and therapies to treat CAA
Vascular rings represent a heterogeneous set of aberrant great vessel anatomic configurations which can cause respiratory symptoms or dysphagia due to tracheal or oesophageal compression. These symptoms can be subtle and may present at varied ages. More recently, many have been identified in patients without symptoms, including fetal echocardiogram, resulting in a conundrum for practitioners when attempting to determine who will benefit from surgical correction. Here, we provide a review of vascular rings and a guide to the practitioner on when to consider additional imaging or referral. Additionally, we discuss the changing landscape regarding asymptomatic patients and fetal echocardiogram.
Spatial analysis and disease mapping have the potential to enhance understanding of tuberculosis (TB) dynamics, whose spatial dynamics may be complicated by the mix of short and long-range transmission and long latency periods. TB notifications in Nam Dinh Province for individuals aged 15 and older from 2013 to 2022 were analyzed with a variety of spatio-temporal methods. The study commenced with an analysis of spatial autocorrelation to identify clustering patterns, followed by the evaluation of several candidate Bayesian spatio-temporal models. These models varied from simple assessments of spatial heterogeneity to more complex configurations incorporating covariates and interactions. The findings highlighted a peak in the TB notification rate in 2017, with 98 cases per 100,000 population, followed by a sharp decline in 2021. Significant spatial autocorrelation at the commune level was detected over most of the 10-year period. The Bayesian model that best balanced goodness-of-fit and complexity indicated that TB trends were associated with poverty: each percentage point increase in the proportion of poor households was associated with a 1.3% increase in TB notifications, emphasizing a significant socioeconomic factor in TB transmission dynamics. The integration of local socioeconomic data with spatio-temporal analysis could further enhance our understanding of TB epidemiology.