Emerging Role of Scintigraphy Using Bone-Seeking Tracers for Diagnosis of Cardiac Amyloidosis: AJR Expert Panel Narrative Review

Amyloidoses are a complex group of clinical diseases that result from progressive organ dysfunction due to extracellular protein misfolding and deposition. The two most common types of cardiac amyloidosis are transthyretin amyloidosis (ATTR) and light-chain (AL) amyloidosis. Diagnosis of ATTR cardiomyopathy (ATTR-CM) is challenging owing to its phenotypic similarity to other more common cardiac conditions, the perceived rarity of the disease, and unfamiliarity with its diagnostic algorithms; endomyocardial biopsy was historically required for diagnosis. However, myocardial scintigraphy using bone-seeking tracers has shown high accuracy for detection of ATTR-CM and has become a key noninvasive diagnostic test for the condition, receiving support from professional society guidelines and transforming prior diagnostic paradigms. This AJR Expert Panel Narrative Review describes the role of myocardial scintigraphy using bone-seeking tracers in the diagnosis of ATTR-CM. The article summarizes available tracers, acquisition techniques, interpretation and reporting considerations, diagnostic pitfalls, and gaps in the current literature. The critical need for monoclonal testing of patients with positive scintigraphy results to differentiate ATTR-CM from AL cardiac amyloidosis is highlighted. Recent updates in guideline recommendations that emphasize the importance of a qualitative visual assessment are also discussed.

Making Quality Improvements to Clinical Simulation Scenarios via Podcasting

Simulation is a common method for teaching and enhancing healthcare skills. Nevertheless, the construction of a simulation scenario is expensive and time-consuming and requires a great deal of effort. As a result, it is imperative that we make quality improvements to the process of scenario construction. When this is accomplished, we will be able to enhance the existing scenarios, develop new ones, and ultimately enhance these teaching tools. Currently, publishing simulation scenarios as peer-reviewed technical reports is one way to ensure quality and global sharing of scenarios. Yet, another undiscovered potential to further improve the quality of scenarios once the peer-review process is complete is to allow the original scenario designers to reflect on their creative processes using podcasting. This paper proposes that podcasting can be used as a supplement to the peer-review process to address this issue. Podcasting is one of the prevalent forms of media in the twenty-first century. There are currently numerous podcast channels in the healthcare simulation space. However, the majority are focused on introducing simulation experts or discussing issues in healthcare simulation, and none are focused on making quality improvements to clinical simulation scenarios with the authors. We propose to make quality improvements with scenario designers using podcasting in order to communicate information to the public and evaluate what went well and what might have been done better in order to inform future developers.

Assessment of A new Strategy to Prevent Prescribing Errors Involving COVID-19 Patients in Community Pharmacies

Background: Because COVID-19 patients are vulnerable to prescribing errors (PEs) and adverse drug events, designing and implementing a new approach to prevent prescribing errors (PEs) involving COVID-19 patients has become a priority in pharmacotherapy research. Objectives: To investigate whether using WhatsApp to deliver prescribing error (PE)-related clinical scenarios to community pharmacists could enhance their ability to detect PEs and conduct successful pharmaceutical interventions (PIs). Methods: In this study, 110 community pharmacies were recruited from different regions across Jordan and equally allocated to 2 groups. Over the course of 4 weeks, WhatsApp was used to send PEs-related clinical case scenarios to the active group. The second group was controlled with no clinical scenarios. After completion of the 4-week phase, pharmacists from both groups were asked to document PEs in COVID-19 patients and their interventions using a data-collection form. Results: The incidence of PEs in COVID-19 patients documented in the active group (18.54%) was higher than that reported in the control group (3.09%) (P = .001). Of the 6598 and 968 PIs conducted by participants working in the active and control group pharmacies, 6013 (91.13%) and 651 (67.25%) were accepted, respectively. The proportions of wrong drug (contraindication), wrong drug (unnecessary drug prescribed/no proof of its benefits), and omission of a drug between the active and control groups were 15.30% versus 7.21% (P = .001), 11.85% versus 6.29% (P = .03), and 17.78% versus 10.50% (0.01), respectively. Additionally, the proportions of lethal, serious, and significant errors were 0.74% versus 0.35% (P = .04), 10.52% versus 2.57% (0.002), and 47.88% versus 9.57% (0.001), respectively. Addition of drug therapy interventions (AOR = 0.62; 95% CI, 0.21-0.84) and errors with significant clinical seriousness (AOR = 0.32; 95% CI, 0.16-0.64). Conclusions PEs involving COVID-19 patients in community settings are common and clinically significant. The intervention assessed in this study could be promising for designing a feasible and time-efficient interventional tool to encourage pharmacists' involvement in identifying and correcting PEs in light of COVID-19.

Genetic Referral Patterns and Responses to Clinical Scenarios: A Survey of Primary Care Providers and Clinical Geneticists

Introduction:

Primary care physicians (PCPs) are considered the gatekeepers of genetic services, but they often underutilize or inappropriately utilize such services, leading to lack of early treatment, incorrect diagnoses, and unnecessary procedures. This study aims to delineate PCP referral patterns, including the frequency of, motivators for, and barriers to genetic referrals and testing in the present landscape of genomics.

Methods:

A 34-item online survey was distributed to PCPs in the United States (US). PCP demographics, practice characteristics, and referral patterns, motivators, and barriers were analyzed. Six hypothetical clinical scenarios included in the survey also were presented to a cohort of clinical geneticists. We calculated PCPs’ rates of ordering genetic tests and of referral to genetics services in the past year. Rates and responses to clinical scenarios were compared based on respondents’ personal and practice characteristics.

Results:

A total of 95 PCPs and 25 clinical geneticists participated. Among the PCPs, 79% reported referring and 50% reported ordering genetic testing in the last year. PCPs with genetic counselors (GCs) in their clinic referred at significantly higher rates than those without (P = .008). White PCPs referred at significantly higher rates compared to Black or African American PCPs (P = .009). The most commonly reported motivators for referring patients to genetic services were preference for specialist coordination, lack of knowledge, and family’s desire for risk information. The most commonly reported barriers were patient refusal, provider concerns about costs to patients, and uncertainty of when a genetic referral is appropriate. In response to clinical scenarios, clinical geneticists were in agreement about the need for genetic testing or referral for 2 of the scenarios. For these 2 scenarios, only 48% and 71% of PCPs indicated that they would offer genetic testing or referral, respectively.

Conclusions:

Responses to clinical scenarios suggest that it is not clear to PCPs when referrals or testing are needed. Collaboration with GCs is one approach to reducing barriers to and improving PCPs’ utilization of genetic services. Clear guidelines from clinical geneticists may help facilitate appropriate use of genetics services by PCPs. Additional research is needed to further describe barriers that PCPs face in genetic testing/referrals.

Common Difficult Scenarios for The Newly Qualified Dental Professional

Dental complaints are at the forefront of many dental practitioners' thoughts, with most dentists likely to have a complaint against them during their practicing lifetime. Difficult clinical scenarios can be particularly challenging for the newly qualified dental professional to manage, with a lack of experience potentially leading to an increased likelihood of a complaint. This article highlights several common clinical scenarios which dental practitioners are likely to face, providing a framework for their management and assessing the impact that the coronavirus pandemic may have on patients presenting for routine dental care.

Pharmacogenomic testing for mental health (Part II): qualitative analysis of early adopter prescriber perceptions

Aim: We sought to explore how early adopters use pharmacogenomic (PGx) testing for treating depression and attention-deficit/hyperactivity disorder. Patients & methods: Prescribers of the Informed PGx (Progenity, Inc., Ann Arbor, MI 48108, USA) test completed a phone survey assessing use of PGx testing for different scenarios. We conducted a qualitative thematic text analysis of transcribed audio recordings of open-ended responses (n = 62). Results: PGx testing was used when treating multiple comorbidities or resistant disease, and to ease patients' concerns with future therapy. Use of PGx testing is influenced by insurance coverage, interpretability of results and results turnaround time. Conclusion: Prescribers used PGx tests to modify medications for complex patients with depression, attention-deficit/hyperactivity disorder and other disorders to alleviate concerns related to adverse effects and lack of effectiveness.

Potential clinical scenarios of tumour budding in colorectal cancer

Tumour budding, defined as single tumour cells or clusters of 4 tumour cells or less detached from the main tumour body, is a wellestablished indicator of aggressive tumour biology in colorectal cancer. As a marker of tumour dissemination, evidence points towards tumour budding as a morphological correlate of epithelialmesenchymal type changes in the tumour microenvironment. Despite many studies in the literature going back decades, tumour budding has not been systematically integrated in colorectal cancer reporting protocols. The recently published proceedings of the International Tumour Budding Consensus Conference (ITBCC) have sparked the systematic implementation of tumour budding in routine reporting of colorectal cancer. Tumour budding may be particularly relevant to patient management in endoscopically resected pT1 colorectal cancer, stage II tumour and pre-operative biopsies. The present review focuses mainly on these three potential clinical scenarios with the aim to provide a concise and updated overview on tumour budding in CRC.

Different oral cancer scenarios to personalize targeted therapy: Boron Neutron Capture Therapy translational studies

Boron neutron capture therapy (BNCT) is a targeted therapy, which consists of preferential accumulation of boron carriers in tumor followed by neutron irradiation. Each oral cancer patient has different risks of developing one or more carcinomas and/or oral mucositis induced after treatment. Our group proposed the hamster oral cancer model to study the efficacy of BNCT and associated mucositis. Translational studies are essential to the advancement of novel boron delivery agents and targeted strategies. Herein, we review our work in the hamster model in which we studied BNCT induced mucositis using three different cancerization protocols, mimicking three different clinical scenarios. The BNCT-induced mucositis increases with the aggressiveness of the carcinogenesis protocol employed, suggesting that the study of different oral cancer patient scenarios would help to develop personalized therapies.

Computer-Based Case Simulations for Assessment in Health Care: A Literature Review of Validity Evidence

Simulation for education and training in health-care professions has been widely applied. However, its value as an assessment tool for competence is not fully known. Logistical barriers of simulation-based assessments have led some health-care organizations to utilize computer-based case simulations (CCSs) for assessment. This article provides a review of the literature on the identification of psychometrically sound, CCS instruments designed to measure decision-making competence in health-care professionals. CINAHL, MEDLINE, and Ovid databases identified 84 potentially relevant articles published between January 2000 and May 2017. A total of 12 articles met criteria for inclusion in this review. Findings of these 12 articles indicate that summative assessment in health care using CCSs in the form of clinical scenarios is utilized to assess higher order performance aspects of competence in the form of decision-making. Psychometric strength was validated in eight articles and supported by four replication studies. Two of the eight articles reported evidence of construct validity and support the need for evidence based on a theoretical framework. This literature review offers implications for further research on the use of CCS tools as a method for assessment of competence in health-care professionals and the need for psychometric evidence to support it.

A study of the competency of third year medical students to interpret biochemically based clinical scenarios using knowledge and skills gained in year 1 and 2

Medical students build clinical knowledge on the grounds of previously obtained basic knowledge. The study aimed to evaluate the competency of third year medical students to interpret biochemically based clinical scenarios using knowledge and skills gained during year 1 and 2 of undergraduate medical training. Study was conducted on year 3 MBBS students at AIMST University, Malaysia. Clinical scenarios (25) were constructed and administered to student volunteers, making sure at least one question from each system of year 2 was represented. Feedback was obtained on a five-point Likert scale regarding perception of learning biochemistry in MBBS year 1 versus 2. Mean score of test was 18 (72.11%). Performance was comparatively better in questions related to topics learnt in year 1 and reinforced in year 2 compared to those learnt for first time in year 2. In the feedback obtained, 31% strongly agreed and 56% agreed understanding the subject was helped more by learning biochemistry in year 2 than in year 1. Likewise, 36% strongly agreed and 56% agreed appreciating the importance of biochemistry in patient diagnosis was helped more by learning biochemistry in year 2 than year 1. Thirty one percent strongly agreed and 54% agreed that year 1 biochemistry would have been more relevant if case discussions were done simultaneously. Students retain basic science subjects better and appreciate the importance of basic sciences in patient diagnosis if they are reinforced in the context of clinical situations.

A Model-Based Approach to Support Validation of Medical Cyber-Physical Systems

Medical Cyber-Physical Systems (MCPS) are context-aware, life-critical systems with patient safety as the main concern, demanding rigorous processes for validation to guarantee user requirement compliance and specification-oriented correctness. In this article, we propose a model-based approach for early validation of MCPS, focusing on promoting reusability and productivity. It enables system developers to build MCPS formal models based on a library of patient and medical device models, and simulate the MCPS to identify undesirable behaviors at design time. Our approach has been applied to three different clinical scenarios to evaluate its reusability potential for different contexts. We have also validated our approach through an empirical evaluation with developers to assess productivity and reusability. Finally, our models have been formally verified considering functional and safety requirements and model coverage.