[18F]Flotaza for Aß Plaque Diagnostic Imaging: Evaluation in Postmortem Human Alzheimer's Disease Brain Hippocampus and PET/CT Imaging in 5xFAD Transgenic Mice.

The diagnostic value of imaging Aß plaques in Alzheimer's disease (AD) has accelerated the development of fluorine-18 labeled radiotracers with a longer half-life for easier translation to clinical use. We have developed [18F]flotaza, which shows high binding to Aß plaques in postmortem human AD brain slices with low white matter binding. We report the binding of [18F]flotaza in postmortem AD hippocampus compared to cognitively normal (CN) brains and the evaluation of [18F]flotaza in transgenic 5xFAD mice expressing Aß plaques. [18F]Flotaza binding was assessed in well-characterized human postmortem brain tissue sections consisting of HP CA1-subiculum (HP CA1-SUB) regions in AD (n = 28; 13 male and 15 female) and CN subjects (n = 32; 16 male and 16 female). Adjacent slices were immunostained with anti-Aß and analyzed using QuPath. In vitro and in vivo [18F]flotaza PET/CT studies were carried out in 5xFAD mice. Post-mortem human brain slices from all AD subjects were positively IHC stained with anti-Aß. High [18F]flotaza binding was measured in the HP CA1-SUB grey matter (GM) regions compared to white matter (WM) of AD subjects with GM/WM > 100 in some subjects. The majority of CN subjects had no decipherable binding. Male AD exhibited greater WM than AD females (AD WM♂/WM♀ > 5; p < 0.001) but no difference amongst CN WM. In vitro studies in 5xFAD mice brain slices exhibited high binding [18F]flotaza ratios (>50 versus cerebellum) in the cortex, HP, and thalamus. In vivo, PET [18F]flotaza exhibited binding to Aß plaques in 5xFAD mice with SUVR~1.4. [18F]Flotaza is a new Aß plaque PET imaging agent that exhibited high binding to Aß plaques in postmortem human AD. Along with the promising results in 5xFAD mice, the translation of [18F]flotaza to human PET studies may be worthwhile.

The Core Competencies for Public Health in Canada: Opportunities and Recommendations for Modernization.

CONTEXT: The 2008 Public Health Agency of Canada's (PHAC's) "Core Competencies for Public Health in Canada" (the "Canadian core competencies") outline the skills, attitudes, and knowledge essential for the practice of public health. The core competencies represent an important part of public health practice, workforce development, and education in Canada and internationally. However, the core competencies are considered outdated and are facing calls for review, expansion, and revision. OBJECTIVE: To examine the literature on public health competencies to identify opportunities and recommendations for consideration when reviewing and updating the Canadian core competencies. METHODS: This narrative literature review included 4 components: 3 literature searches conducted between 2021 and 2022 using similar search strategies, as well as an analysis of competency frameworks from comparable jurisdictions. The 3 searches were conducted in collaboration with the Health Library to identify core competency-relevant scholarly and gray literature published in English since 2007. Reference lists of sources identified were also reviewed. During the data extraction process, one researcher screened each source, extracted competency-relevant information, and categorized these data into key findings. RESULTS: After identifying 2392 scholarly and gray literature sources, 166 competency-relevant sources were included in the review. Findings from these sources were synthesized into 3 main areas: (1) competency framework methodology and structure; (2) competencies to add; and (3) competencies to modify. DISCUSSION: These findings demonstrate that updates to Canada's core competencies are needed and overdue. Recommendations to support this process include establishing a formal governance structure for the competencies' regular review, revision, and implementation, as well as ensuring that priority topics applicable across all competency categories are integrated as overarching themes. Limitations of the evidence include the potential lack of applicability and generalizability to the Canadian context, as well as biases associated with the narrative literature review methodology.

Epidemiology and Management of Adult Laryngeal Trauma: An Analysis of the National Trauma Data Bank.

INTRODUCTION: Laryngeal injuries are rare but life-threatening airway emergencies. Increased understanding of the epidemiology of these injuries can inform treatment and improve outcomes. We aimed to characterize the demographics and management of adult laryngeal trauma. METHODS: The National Trauma Data Bank (NTDB) was queried from 2007 to 2015 for patients ≥18 years old with laryngeal trauma. Patient demographics, injury characteristics, and treatment course were collected. Outcomes were assessed via multivariate logistic regression. RESULTS: From 7.3 million patients, 6,890 (0.1%) patients with laryngeal trauma were identified. Eighty-five percent of patients were male, and the median age was 40. Of these patients, 343 (5.0%) were dead on arrival and of the remaining patients, 510 (7.8%) of patients were deceased at discharge. Common concomitant injuries included facial fractures (27%), intracranial injuries (21%), and rib and sternum fractures (19%). The most common cause of injury was motor vehicle accident (26%), followed by assault with firearms/explosives (12%) and assault with cutting instruments (8%). Forty-three percent of patients received mechanical ventilation and 15% received surgical repair. After correcting for gender, age, and injury severity, firearm injuries (odds ratio [OR] 3.46, 95% CI: [2.88-4.15]) and cutting/piercing injuries (OR 2.23, 95% CI: [1.89-2.64]) were positively associated with the need for mechanical ventilation. Motor vehicle trauma (OR 0.63, 95% CI: [0.46-0.84]) was negatively associated with surgical repair while striking injuries (OR 1.61, 95% CI: [1.25-2.06]) were positively associated. Lastly, shorter time to tracheostomy was significantly associated with shorter ICU stays (p < 0.0001). CONCLUSION: This study is the largest epidemiologic study of laryngeal trauma to date and identifies the risk of surgical intervention with firearm and cutting injuries as well as the importance of earlier time to tracheostomy for ICU management.

Epidemiology of Anterior and Lateral Basilar Skull Fractures With CSF Leak: A National Trauma Data Bank Analysis.

OBJECTIVE: Cerebrospinal fluid (CSF) leaks are a complication from dural violations that can occur in the setting of skull base fractures. No prior study provides a nationwide epidemiological analysis of traumatic CSF leaks. The objective of this report is to characterize patient demographics, injury-related variables, and operative management. METHODS: The national trauma data bank was queried for both anterior and lateral skull base fracture cases between 2008 and 2016. Clinical data were extracted. RESULTS: A total of 242 skull base fractures with CSF leak were identified. Most patients were male (84.3%), and the median patient age was 39.7±17.6 years old. Glasgow Coma Scale was 14.0 [interquartile range (IQR): 6.5-10.6] for lateral fractures, 13.0 (IQR: 3.0-10.0) for anterior fractures, and severe range for combined fractures at 7.0 (IQR: 5.0-9.0) (analysis of variance, P =0.122). Common mechanisms of injury were motor vehicle accidents (107, 44.2%), followed by falls and firearms (65, 26.9% and 20, 8.3%, respectively). The median length of stay was 2 weeks, with a median of 14 days (IQR: 10-25) for the anterior fractures and 10 days (IQR 5-19) among the lateral fractures ( P =0.592). Patients were most commonly discharged home in both the anterior (43.8%) and lateral (49.2%) groups. CONCLUSIONS: The prototypical patient tends to be a young adult male presenting with moderate-to-severe range neurological dysfunction after a vehicular accident. The overall prognosis of skull base fractures with CSF leak remains encouraging, with nearly half of these patients being discharged home within 2 weeks.

Utilisation of goals of care discussions and palliative care prior to image-guided procedures near the end of life.

AIM: To characterise image-guided procedures performed near the end of life and the use of goals of care discussions (GOC) and palliative care consultation (PCC) prior to these procedures. MATERIALS AND METHODS: Retrospective chart review of 3,714 consecutive inpatient procedures performed for 2,351 patients and 8,206 outpatient procedures performed for 5,225 patients within a suburban medical system. Data were collected on demographics, procedures performed, mortality, and use of GOC or PCC prior to the procedures. Procedures near the end of life were classified as emergent, elective, or palliative. Logistic regression was used to assess for demographic disparities in care. RESULTS: Nine percent of inpatients died within 30 days of their procedure, 57% of which were within the same hospitalisation. Of these patients, 59% had a documented GOC and 35% had a PCC. Similarly, 7% of outpatients died within 6 months of their procedure. A minority of these patients had a documented GOC (37%) or PCC (13%). There were few statistically significant demographic disparities in this care and the associated odds ratios were small. CONCLUSION: A wide array of image-guided procedures is performed near the end of life. GOC and PCC are underutilised prior to these procedures. Few demographic disparities exist in this care.

Findings from a tandem clinician leadership intervention for emergency department cardiac arrest care during the COVID-19 pandemic.

INTRODUCTION: Cardiopulmonary arrest (CPA) care in the Emergency Department (ED) has had to be modified during the coronavirus disease (COVID-19) pandemic. Scarce literature exists on comfort of clinicians (defined as physicians, nurses & advanced practice providers-APP's) in these new roles and their perceived understanding of new algorithms. METHODS: Routine CPA care in our ED was modified during the COVID-19 pandemic. This involved clinicians in shared leadership roles alongside COVID-19 specific changes to CPA algorithms. The new protocol was operationalized through a two-step educational intervention involving didactic education and in-situ simulations. Univariate analyses using student's t-test assessed effectiveness of this educational intervention with clinician comfort as team leaders and perceived knowledge as primary outcomes on a scale of 1 (strongly disagree) to 5 (strongly agree). Subgroup analysis across physicians (attending & resident), nurses & APP's were also undertaken with an alpha of 0.05, and p values <0.05 were considered statistically significant. Secondary outcomes of task saturation, procedural safety and error prevention were also analyzed. RESULTS: Across 83 of 95 total participants, our primary outcome of clinician comfort in the team leader role improved from a mean value of 3.41 (SD: 1.23) pre-intervention to 4.11 (SD: 0.88) with a p-value <0.001 post intervention. Similar and statistically significant findings in clinician comfort were noted across all subgroups except attending physicians and APP's. Perceived knowledge increased from a mean value of 3.54 (SD: 1.06) pre-intervention to a mean value of 4.24 (SD: 0.67) with a p-value <0.001 post intervention. Similar and statistically significant findings in perceived knowledge were noted across all subgroups except APP's. Responses were registered in either the strongly agree or agree category with regards to task saturation (89%), procedural safety (93%) and error prevention (71%) across all clinicians post intervention. CONCLUSION: Our pilot investigation of the effectiveness of an educational intervention of a novel CPA protocol in the ED during the COVID-19 pandemic reached statistical significance with regards to clinician comfort in shared leadership roles and perceived knowledge. These findings suggest that the protocol is rapidly teachable, usable and can be efficiently disseminated across ED clinicians of varying experience, especially in pandemic settings. Further work regarding effectiveness of this new protocol in real life cardiac arrest scenarios is warranted.

Early Impacts of the COVID-19 Pandemic on Public Health Systems and Practice in 3 Canadian Provinces From the Perspective of Public Health Leaders: A Qualitative Study.

CONTEXT: The COVID-19 pandemic has impacted health systems worldwide. Studies to date have largely focused on the health care system with less attention to the impact on public health systems and practice. OBJECTIVE: To describe the early impacts of COVID-19 on public health systems and practice in 3 Canadian provinces from the perspective of public health system leaders and synthesize lessons learned. DESIGN: A qualitative study using semistructured virtual interviews with public health leaders between October 2020 and April 2021. The World Health Organization's essential public health operations framework guided data collection and analysis. SETTING: This study involved the Canadian provinces of Alberta, Ontario, and Québec. These provinces were chosen for their large populations, relatively high COVID-19 burden, and variation in public health systems. PARTICIPANTS: Public health leaders from Alberta (n = 21), Ontario (n = 18), and Québec (n = 19) in organizations with a primary mandate of stewardship and/or administration of essential public health operations (total n = 58). RESULTS: We found that the COVID-19 pandemic led to intensified collaboration in public health systems and a change in workforce capacity to respond to the pandemic. This came with opportunities but also challenges of burnout and disruption of non-COVID-19 services. Information systems and digital technologies were increasingly used and there was greater proximity between public health leaders and other health system leaders. A renewed recognition for public health work was also highlighted. CONCLUSIONS: The COVID-19 pandemic impacted several aspects of public health systems in the provinces studied. Our findings can help public health leaders and policy makers identify areas for further investment (eg, intersectoral collaboration, information systems) and develop plans to address challenges (eg, disrupted services, workforce burnout) that have surfaced.

Lessons from KEEPS: the Kronos Early Estrogen Prevention Study.

The Kronos Early Estrogen Prevention Study (KEEPS) was a randomized, double-blind, placebo-controlled trial designed to determine the effects of hormone treatments (menopausal hormone treatments [MHTs]) on the progression of carotid intima-medial thickness (CIMT) in recently menopausal women. Participants less than 3 years from menopause and without a history of overt cardiovascular disease (CVD), defined as no clinical CVD events and coronary artery calcium < 50 Agatston units, received either oral conjugated equine estrogens (0.45 mg/day) or transdermal 17ß-estradiol (50 µg/day), both with progesterone (200 mg/day for 12 days/month), or placebo pills and patches for 4 years. Although MHT did not decrease the age-related increase in CIMT, KEEPS provided other important insights about MHT effects. Both MHTs versus placebo reduced the severity of menopausal symptoms and maintained bone density, but differed in efficacy regarding mood/anxiety, sleep, sexual function, and deposition of ß-amyloid in the brain. Additionally, genetic variants in enzymes for metabolism and uptake of estrogen affected the efficacy of MHT for some aspects of symptom relief. KEEPS provides important information for use of MHT in clinical practice, including type, dose, and mode of delivery of MHT recently after menopause, and how genetic variants in hormone metabolism may affect MHT efficacy on specific outcomes.

Volume of White Matter Hyperintensities, and Cerebral Micro-Bleeds.

PURPOSE: In the past years the significance of white matter hyperintensities (WMH) has gained raising attention because it is considered a marker of severity of different pathologies. Another condition that in the last years has been assessed in the neuroradiology field is cerebral microbleeds (CMB). The purpose of this work was to evaluate the association between the volume of WMH and the presence and characteristics of CMB. MATERIAL AND METHODS: Sixty-five consecutive (males 45; median age 70) subjects were retrospectively analyzed with a 1.5 Tesla scanner. WMH volume was quantified with a semi-automated procedure considering the FLAIR MR sequences whereas the CMB were studied with the SWI technique and CMBs were classified as absent (grade 1), mild (grade 2; total number of CMBs: 1-2), moderate (grade 3; total number of CMBs: 3-10), and severe (grade 4; total number of CMBs: >10). Moreover, overall number of CMBs and the maximum diameter were registered. RESULTS: Prevalence of CMBs was 30.76% whereas WMH 81.5%. Mann-Whitney test showed a statistically significant difference in WMH volume between subjects with and without CMBs (p < 0.001). Pearson analysis showed significant correlation between CMB grade, number and maximum diameter and WMH. The better ROC area under the curve (Az) was obtained by the hemisphere volume with a 0.828 (95% CI from 0.752 to 0,888; SD = 0.0427; p value = 0.001). The only parameters that showed a statistically significant association in the logistic regression analysis were Hemisphere volume of WMH (p = 0.001) and Cholesterol LDL (p = 0.0292). CONCLUSION: In conclusion, the results of this study suggest the presence of a significant correlation between CMBs and volume of WMH. No differences were found between the different vascular territories.

Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence.

Artificial Intelligence (AI), in general, refers to the machines (or computers) that mimic "cognitive" functions that we associate with our mind, such as "learning" and "solving problem". New biomarkers derived from medical imaging are being discovered and are then fused with non-imaging biomarkers (such as office, laboratory, physiological, genetic, epidemiological, and clinical-based biomarkers) in a big data framework, to develop AI systems. These systems can support risk prediction and monitoring. This perspective narrative shows the powerful methods of AI for tracking cardiovascular risks. We conclude that AI could potentially become an integral part of the COVID-19 disease management system. Countries, large and small, should join hands with the WHO in building biobanks for scientists around the world to build AI-based platforms for tracking the cardiovascular risk assessment during COVID-19 times and long-term follow-up of the survivors.

Carotid artery stenosis and brain connectivity: the role of white matter hyperintensities.

PURPOSE: It is under debate how white matter hyperintensities (WMH) affects the brain connectivity. The objective of this research study is to validate the hypothesis, if and how the WMH influences brain connectivity in a population with carotid artery stenosis (CAS), which are eligible for carotid endarterectomy (CEA). We used resting state functional connectivity (rs-fc) magnetic resonance (MR) to validate our hypothesis, focusing on the effects of the total number of WMH (TNWMH) and of the WMH Burden (WMHB). METHODS: Twenty-three patients (sixteen males and seven females, mean age 74.34 years) with mono or bilateral carotid stenosis eligible for carotid endarterectomy (CEA), underwent an MR examination on a 1.5-T scanner. The protocol included a morphologic T1-3D isotropic, an EPI functional sequence for rs-fc MR analysis, and a 3D isotropic FLAIR sequence. For each patient, the TNWMH and the WMHB were obtained using two online tools-volBrain and lesionBrain. The rs-fc region-of-interest to region-of-interest (ROI-to-ROI) analysis was performed with the CONN toolbox v18a: two different multiple regression analyses including both WMHB and TNWMH as second-level covariates evaluated the individual effects of WMHB (Analysis A) and TNWMH (Analysis B), adopting a p value corrected for false discovery rate (p-FDR) < 0.05 to identify statistically significant values. RESULTS: Both analyses A and B identified several statistically significant positive and negative correlations associated with WMHB and TNWMH. CONCLUSION: WMH influence functional connectivity in patients with carotid artery stenosis eligible for CEA; further, WMHB and TNWMH influence differently functional connectivity.

Acute Respiratory Distress Syndrome: Etiology, Pathogenesis, and Summary on Management.

The acute respiratory distress syndrome (ARDS) has multiple causes and is characterized by acute lung inflammation and increased pulmonary vascular permeability, leading to hypoxemic respiratory failure and bilateral pulmonary radiographic opacities. The acute respiratory distress syndrome is associated with substantial morbidity and mortality, and effective treatment strategies are limited. This review presents the current state of the literature regarding the etiology, pathogenesis, and management strategies for ARDS.

Headache Outcomes After Treatment of Unruptured Intracranial Aneurysm: A Systematic Review and Meta-Analysis.

Background and Purpose- While unruptured intracranial aneurysms may be discovered incidentally in the workup of chronic headache, it remains unclear whether their treatment ultimately impacts headache severity. We aim to conduct a systematic review and meta-analysis assessing headache severity after treatment of unruptured intracranial aneurysm. Methods- MEDLINE and EMBASE were systematically reviewed. Results- Data from 7 studies met inclusion criteria (309 nonduplicated patients). The standard mean difference in pre- and post-intervention headache severity was estimated at -0.448 (95% CI, -0.566 to -0.329) under a random effects model. No significant heterogeneity was noted nor was any significant publication bias demonstrated. Conclusions- This is the first systematic review assessing postoperative headache severity following treatment of unruptured intracranial aneurysm. While a significant reduction in headache severity was observed, further investigation into this phenomenon is recommended before it influences clinical practice. Future study should stratify headache outcomes by aneurysm size, location, and treatment modality.

Impact of menopausal hormone formulations on pituitary-ovarian regulatory feedback.

Changes in pituitary-ovarian hormones across the menopausal transition have multiple physiological consequences. However, little is known about how the major types of postmenopausal hormone therapy (HT) affect pituitary-ovarian hormonal relationships. This study evaluated these relationships in recently menopausal women (52.45 ± 2.49 yr of age) in the Kronos Early Estrogen Prevention Study (KEEPS) who were compliant to randomized, double-blinded treatment with oral conjugated equine estrogen (o-CEE; n = 109), transdermal 17ß-estradiol (t-E2; n = 107), or placebo (n = 146). Androstenedione, testosterone, 17ß-estradiol, estrone, follicle-stimulating hormone (FSH), and luteinizing hormone (LH) were measured in serum before (baseline) and 48 mo after randomization to treatment. Descriptive summaries of hormone levels were performed, and multiple regression analyses were used to examine the effects of o-CEE, t-E2, and placebo on these hormone levels at 48 mo, adjusting for baseline levels. A network analysis examined the covariance of changes in hormone levels over the 48 mo within treatment groups. As expected, at 48 mo of treatment, hormone levels differed between women in the two active treatment groups compared with placebo, and network analysis indicated stronger relationships among hormone levels in the t-E2 and o-CEE groups compared with placebo. Associations among testosterone, 17ß-estradiol, FSH, and LH differed between the o-CEE group compared with t-E2 and placebo groups. Thus, two common HT regimens differentially alter pituitary-ovarian hormone levels, altering feedback cycles and interhormonal associations in recently menopausal women. These interactions provide the basis for future studies investigating the impact of hormonal modulation of aging, including cognitive decline in women.

A Special Report on Changing Trends in Preventive Stroke/Cardiovascular Risk Assessment Via B-Mode Ultrasonography.

PURPOSE OF REVIEW: Cardiovascular disease (CVD) and stroke risk assessment have been largely based on the success of traditional statistically derived risk calculators such as Pooled Cohort Risk Score or Framingham Risk Score. However, over the last decade, automated computational paradigms such as machine learning (ML) and deep learning (DL) techniques have penetrated into a variety of medical domains including CVD/stroke risk assessment. This review is mainly focused on the changing trends in CVD/stroke risk assessment and its stratification from statistical-based models to ML-based paradigms using non-invasive carotid ultrasonography. RECENT FINDINGS: In this review, ML-based strategies are categorized into two types: non-image (or conventional ML-based) and image-based (or integrated ML-based). The success of conventional (non-image-based) ML-based algorithms lies in the different data-driven patterns or features which are used to train the ML systems. Typically these features are the patients' demographics, serum biomarkers, and multiple clinical parameters. The integrated (image-based) ML-based algorithms integrate the features derived from the ultrasound scans of the arterial walls (such as morphological measurements) with conventional risk factors in ML frameworks. Even though the review covers ML-based system designs for carotid and coronary ultrasonography, the main focus of the review is on CVD/stroke risk scores based on carotid ultrasound. There are two key conclusions from this review: (i) fusion of image-based features with conventional cardiovascular risk factors can lead to more accurate CVD/stroke risk stratification; (ii) the ability to handle multiple sources of information in big data framework using artificial intelligence-based paradigms (such as ML and DL) is likely to be the future in preventive CVD/stroke risk assessment.

Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning-Based Tissue Characterization.

PURPOSE OF THE REVIEW: Rheumatoid arthritis (RA) is a chronic, autoimmune disease which may result in a higher risk of cardiovascular (CV) events and stroke. Tissue characterization and risk stratification of patients with rheumatoid arthritis are a challenging problem. Risk stratification of RA patients using traditional risk factor-based calculators either underestimates or overestimates the CV risk. Advancements in medical imaging have facilitated early and accurate CV risk stratification compared to conventional cardiovascular risk calculators. RECENT FINDING: In recent years, a link between carotid atherosclerosis and rheumatoid arthritis has been widely discussed by multiple studies. Imaging the carotid artery using 2-D ultrasound is a noninvasive, economic, and efficient imaging approach that provides an atherosclerotic plaque tissue-specific image. Such images can help to morphologically characterize the plaque type and accurately measure vital phenotypes such as media wall thickness and wall variability. Intelligence-based paradigms such as machine learning- and deep learning-based techniques not only automate the risk characterization process but also provide an accurate CV risk stratification for better management of RA patients. This review provides a brief understanding of the pathogenesis of RA and its association with carotid atherosclerosis imaged using the B-mode ultrasound technique. Lacunas in traditional risk scores and the role of machine learning-based tissue characterization algorithms are discussed and could facilitate cardiovascular risk assessment in RA patients. The key takeaway points from this review are the following: (i) inflammation is a common link between RA and atherosclerotic plaque buildup, (ii) carotid ultrasound is a better choice to characterize the atherosclerotic plaque tissues in RA patients, and (iii) intelligence-based paradigms are useful for accurate tissue characterization and risk stratification of RA patients.

Mental Health Stigma: Explicit and Implicit Attitudes of Canadian Undergraduate Students, Medical School Students, and Psychiatrists.

OBJECTIVES: To compare explicit and implicit stigmatizing attitudes towards mental illness among undergraduate students, medical school students, and psychiatrists, and to assess whether attitudes are associated with education level, exposure to, and personal experience with mental illness. METHODS: Participants from McMaster University were recruited through email. Participants completed a web-based survey consisting of demographics; the Opening Minds Scale for Healthcare Providers (OMS-HC) 12-item survey, which measures explicit stigma; and an Implicit Association Test (IAT), measuring implicit bias toward physical illness (diabetes mellitus) or mental illness (schizophrenia). RESULTS: A total of 538 people participated: undergraduate students ( n = 382), medical school students ( n = 118), and psychiatrists ( n = 38). Psychiatrists had significantly lower explicit and implicit stigma than undergraduate students and medical school students. Having been diagnosed with mental illness or having had a relationship with someone experiencing one was significantly associated with lower explicit stigma. Mean scores on the OMS-HC "disclosure/help-seeking" subscale were higher compared with the "attitudes towards people with mental illness" subscale. There was no correlation between the OMS-HC and IAT. CONCLUSIONS: These findings support the theory that increased education and experience with mental illness are associated with reduced stigma. Attitudes regarding disclosure/help-seeking were more stigmatizing than attitudes towards people with mental illness. The groups identified in this study can potentially benefit from anti-stigma campaigns that focus on reducing specific components of explicit, implicit, public and self-stigma.

Nonlinear model for the carotid artery disease 10-year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study.

MOTIVATION: This study presents a novel nonlinear model which can predict 10-year carotid ultrasound image-based phenotypes by fusing nine traditional cardiovascular risk factors (ethnicity, gender, age, artery type, body mass index, hemoglobin A1c, hypertension, low-density lipoprotein, and smoking) with five types of carotid automated image phenotypes (three types of carotid intima-media thickness (IMT), wall variability, and total plaque area). METHODOLOGY: Two-step process was adapted: First, five baseline carotid image-based phenotypes were automatically measured using AtheroEdge™ (AtheroPoint™ , CA, USA) system by two operators (novice and experienced) and an expert. Second, based on the annual progression rates of cIMT due to nine traditional cardiovascular risk factors, a novel nonlinear model was adapted for 10-year predictions of carotid phenotypes. RESULTS: Institute review board (IRB) approved 204 Japanese patients' left/right common carotid artery (407 ultrasound scans) was collected with a mean age of 69 ± 11 years. Age and hemoglobin were reported to have a high influence on the 10-year carotid phenotypes. Mean correlation coefficient (CC) between 10-year carotid image-based phenotype and age was improved by 39.35% in males and 25.38% in females. The area under the curves for the 10-year measurements of five phenotypes IMTave10yr , IMTmax10yr , IMTmin10yr , IMTV10yr , and TPA10yr were 0.96, 0.94, 0.90, 1.0, and 1.0. Inter-operator variability between two operators showed significant CC (P < 0.0001). CONCLUSIONS: A nonlinear model was developed and validated by fusing nine conventional CV risk factors with current carotid image-based phenotypes for predicting the 10-year carotid ultrasound image-based phenotypes which may be used risk assessment.

The Potential Effect of the Psychiatric Clerkship and Contact-Based Hypothesis on Explicit and Implicit Stigmatizing Attitudes of Canadian Medical Students Towards Mental Illness.

OBJECTIVE: The purpose of this study was to assess if having completed a psychiatric clerkship or having increased exposure to mental illness in general was associated with reduced explicit and implicit stigmatizing attitudes towards mental illness in undergraduate medical students. METHODS: A secondary analysis of data specific to medical students from McMaster University was completed. Data were obtained through a cross-sectional survey administered electronically. It consisted of a demographic questionnaire, the Opening Minds Scale for Healthcare Providers (OMS-HC) 12-item survey, and an Implicit Association Test (IAT). The OMS-HC was used as a measure of explicit stigmatizing attitudes, whereas the IAT was used as a measure of implicit bias. All analyses were completed using Stata/IC 15 and were two-tailed with significance defined as p < 0.05. RESULTS: Individuals that self-reported either having had a mental illness or diagnosis by a health care professional had significantly lower levels of explicit stigma. Final-year medical students had significantly lower levels of implicit stigmatizing attitudes than first-year medical students. Neither having completed a psychiatric clerkship nor having a close relationship with someone experiencing a mental illness was significantly associated with the explicit or implicit stigmatizing attitudes of medical students. CONCLUSION: More years in medical school and self-identifying or receiving a diagnosis of mental illness are associated with reduced stigmatizing attitudes, whereas having completed the psychiatric clerkship and having a close relationship with an individual experiencing mental illness were not. This study suggests that the psychiatric clerkship may have limited impact on the stigmatizing attitudes of medical students.

Correction to: The Potential Effect of the Psychiatric Clerkship and Contact-Based Hypothesis on Explicit and Implicit Stigmatizing Attitudes of Canadian Medical Students Towards Mental Illness.

The authors would like to correct the footnote of Table 2.