Citations

Abstract Background We evaluated the Tecan Fluent Mix and Pierce Workstation as an automated platform to aliquot directly from whole blood collection tubes. The Fluent Mix and Pierce Workstation uses the Tube Rotator™, an on-deck rotisserie, to keep whole blood in suspension, and 8 Piercing Tips™ to cross the pierceable caps of collection tubes to aliquot samples. Methods We performed accuracy and precision testing by aliquoting residual whole blood specimens into an on-deck gravimetric scale. To test carryover, we aliquoted alternating blanks and high calibrators for several analytes and performed mass spectrometry on the blanks. We performed 168 runs over a 21-day period to test the robustness of the platform. We aliquoted and analyzed 2 batches of samples on both our clinical platform and the Mix and Pierce Workstation to check concordance. Results We observed that the Fluent Mix and Pierce Workstation can aliquot 200 µL with 0.5% inaccuracy and 0.9%CV and can aliquot 300 µL with 0.1% inaccuracy and 0.7%CV. We were unable to detect any analyte carryover using mass spectrometry. We observed no hardware failures during the instrument stress test. Clinical comparison runs indicated that the performance of aliquots made on the Fluent Mix and Pierce Workstation was equivalent to that of aliquots made by our current clinical method. Conclusions Overall, our evaluation showed that the Tecan Fluent Mix and Pierce Workstation is a viable platform for aliquoting whole blood for downstream work flows and can eliminate labor-intensive sample decapping and recapping in high-throughput settings.

Toxins from ingested water can significantly affect overall physical health in children and adults. In the United States, domestic water wells are not commonly tested for any heavy metal contaminants. It is well-known that chronic arsenic ingestion from water is linked to serious health effects. We surveyed patients at our academic institution via emailed questionnaires in 2023 to determine whether those with children living at home reported different patterns of behavior around well water testing as compared to those without. Survey data were collected from 8994 respondents in the U.S. Midwest who reported using residential well water. Results were used to evaluate the influence of children in the home on testing behaviors, and secondarily, whether parental demographics affected testing frequency. Respondents with children at home did not report increased testing frequency compared to those without. In parents who did report testing, having more children, being younger, and living in Wisconsin were associated with an increased frequency. Parental gender, race, and ethnicity did not correlate with testing behaviors. A total of 70% of respondents did not feel concerned about their water safety and 85% were not concerned about arsenic specifically in their water. Increased risk of toxicity to children from arsenic does not appear to influence reported well water testing behavior among parents.

Objectives/Goals: Undergraduate Medical Education (UME) may apply Just-in-Time training (JITT) to provide medical students with learning experiences closely aligned with real-time clinical needs. The purpose of this scoping review is to offer an overview of the implementation of JITT training in UME. Methods/Study Population: Following the five-stage framework by Arksey and O’Malley to methodically collect and analyze studies on JITT in UME, five electronic databases were searched, and a supplemental search for grey literature was conducted. Studies exploring the integration of JITT principles into UME clinical training and their time to follow-up after training were included. Bloom’s Taxonomy was used to assess educational goals of JITT interventions. Results/Anticipated Results: The review yielded 21 studies across 4 countries. The majority were cohort studies (13) and randomized control trials (5). Assessment definitions and use of JITT varied widely. Most studies focused on short-term outcomes, defined by being measured immediately after JITT session (15) or at the end of JITT-based rotation or clerkship (3). Three studies evaluated outcomes at a period longer than 2 weeks after completion of session or clerkship. Attitudes (9), followed by skills (8) were the most common educational goals of intervention. The efficacy and utility of JITT in improving educational goal acquisition was demonstrated in 90% (17/19) of the studies with reported outcomes. Discussion/Significance of Impact: The introduction of JITT in UME has been shown to meet the immediate needs of healthcare environments; however, evidence is limited in the evaluation of longer-term outcomes. Further research to determine the impact of JITT on long-term learning retention and education goal acquisition in UME is merited.

Background and Aims: Among those with primary sclerosing cholangitis (PSC), perihilar cholangiocarcinoma (pCCA) is often diagnosed at a late stage and is a leading source of mortality. Detection of pCCA in PSC when curative action can be taken is challenging. Our aim was to create a deep learning model that analyzed MRI to detect early-stage pCCA and compare its diagnostic performance with expert radiologists. Approach and Results: We conducted a multicenter, international, retrospective cohort study involving adults with large duct PSC who underwent contrast-enhanced MRI. Senior abdominal radiologists reviewed the images. All patients with pCCA had early-stage cancer and were registered for liver transplantation. We trained a 3D DenseNet-121 model, a form of deep learning, using MRI images and assessed its performance in a separate test cohort. The study included 398 patients (training cohort n=150; test cohort n=248). pCCA was present in 230 individuals (training cohort n=64; test cohort n=166). In the test cohort, the respective performances of the model compared to the radiologists were: sensitivity 87.9% versus 50.0%, p <0.001; specificity 84.1% versus 100.0%, p <0.001; area under receiving operating curve 86.0% versus 75.0%, p <0.001. Even when a mass was absent, the model had a higher sensitivity for pCCA than radiologists (91.6% vs. 50.6%, p <0.001) and maintained good specificity (84.1%). Conclusions: The 3D DenseNet-121 MRI model effectively detects early-stage pCCA in PSC patients. Compared to expert radiologists, the model missed fewer cases of cancer.

Abstract Background With progressive accumulation of knowledge on SARS-CoV-2 infection clinical management, treatment guidelines recommended several options including remdesivir, a broad-spectrum antiviral. Given the evolving nature of coronavirus disease 2019, capturing the totality of scientific evidence from clinical trials and observational studies is critical to inform clinical decision making. We conducted a systematic literature review with meta-analysis to summarize the effectiveness of remdesivir among hospitalized adults. Methods We systematically searched MEDLINE, Embase and Cochrane Library databases for interventional and observational studies examining remdesivir efficacy. A rigorous double-reviewer approach was used for source identification, screening, data extraction and risk of bias assessment. A hierarchical random-effects model meta-analysis was used, with subgroup analyses for randomized controlled trials (RCTs) and real-world (RW) studies. Results From January 2019 to December 2023 &gt;18 000 sources were screened, and 122 unique studies were identified, reporting on 25 174 participants in RCTs and 1 279 859 in RW studies. Remdesivir significantly increased survival in the overall population (odds ratio, 0.69 [95% confidence interval, .55–.86]; P = .001] across SARS-CoV-2 variants and disease severity levels: no supplemental oxygen (0.81 [.75–.88]), low-flow oxygen (0.71 [.64–.79]), high-flow oxygen (0.87 [.83–.91]), and invasive mechanical ventilation (0.78 [.68–.90]). Rehospitalization risk was significantly reduced in patients receiving remdesivir (odds ratio, 0.72 [95% confidence interval, .64–.81]). Conclusions Our comprehensive systematic literature review, capturing the totality of evidence, showed a significant survival benefit among patients hospitalized for SARS-CoV-2 infection and receiving remdesivir, across all disease severity levels. To assure that healthcare providers are aware of and deploy evidence-based optimal care, recommendations should rely on both RCT and RW data.

Abstract Background Progress in clinical trials and drug development for paediatric perianal fistulising CD (pfCD) depends upon accurate, reproducible imaging to assess disease activity and measure treatment response. We evaluated the inter- and intra-rater reliability of existing radiologic disease activity indices and anatomical classification systems previously identified as appropriate for assessment of paediatric pfCD.1 Methods A retrospective cohort (N=50) of magnetic resonance imaging (MRI) exams representing a full spectrum of paediatric (&lt;18 years) perianal CD severity was selected by a single expert paediatric radiologist. Methods described by Zou2 were used to estimate sample size. Three separate radiologists (2 paediatric) blinded to clinical information assessed pfCD in the exams using the Magnetic Resonance Novel Index for Fistula Imaging in CD (MAGNIFI-CD), Van Assche Index (VAI), modified VAI (mVAI), Paediatric MRI based Perianal Crohn’s disease (PEMPAC) index, a visual analogue scale (VAS) of overall pfCD disease severity (range, 0-100 mm), as well as with the Park’s and St. James University Hospital anatomic classification systems. Two radiologists read all exams twice, separated by 2 weeks, and 1 radiologist read the exams once (250 total reads). Intra- and inter-rater reliability was evaluated using intraclass correlation coefficients (ICC; equivalent to weighted kappa). Precision of the ICC estimates was quantified with 95% confidence intervals (CIs) obtained using clustered bootstrapping. Degree of reliability was interpreted with benchmarks proposed by Landis and Koch3. Results Median age of children was 13.5 years (IQR 11.4-16.1), and 64% were male. Median Paediatric Crohn’s Disease Activity Index score at time of imaging was 17.5 (IQR 10-32.5). Substantial (ICC&gt;0.61) inter-rater reliability was observed for MAGNIFI-CD, VAI, and mVAI (Table 1), with the highest ICCs observed for the mVAI (0.72 [0.6 to 0.79]). Moderate (ICC&gt;0.41) inter-rater reliability was observed for PEMPAC, St. James University Hospital classification, and the VAS, and fair (ICC&gt;0.21) inter-rater reliability was observed for Parks classification. Intra-rater reliability was nearly perfect (ICC&gt;0.81) for the VAS, and substantial for all indices except for Parks classification, which had moderate (0.60 [0.44 to 0.75]) intra-rater reliability (Table 1). Conclusion Most existing multi-item MRI-based disease activity indices and the St. James Hospital classification were reliable for the assessment of paediatric pfCD in our cohort. Our preliminary results suggest that the disease activity indices may have utility to measure treatment effect in paediatric pfCD clinical trials. References 1.Crowley E, Ma C, Guizzetti L, Zou G, Lewindon PJ, Gee MS, et al. Recommendations for Standardizing MRI-based Evaluation of Perianal Fistulizing Disease Activity in Pediatric Crohn's Disease Clinical Trials. Inflamm Bowel Dis. 2024;30(3):357-69. 2.Zou GY. Sample size formulas for estimating intraclass correlation coefficients with precision and assurance. Statistics in Medicine. 2012;31(29):3972-398 3.Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159-74.

Abstract Objective To evaluate the effectiveness of multiple decision aid strategies in promoting high quality shared decision making for prevention of stroke in patients with non-valvular atrial fibrillation. Design Cluster randomized controlled trial. Setting Six academic medical centers in the United States. Participants Patient participants were aged ≥18 with a diagnosis of non-valvular atrial fibrillation, at risk for stroke (CHA 2 DS 2 -VASc ≥1 for men, ≥2 for women), and scheduled for a clinical appointment to discuss stroke prevention strategies. Participating clinicians were those who manage stroke prevention strategies for participating patients. Intervention Patients were randomized to use a patient decision aid or usual care; clinicians were randomized to use an encounter decision aid or usual care with all participating patients. Main outcome measures Primary outcome measures were quality of shared decision making measured by OPTION12, knowledge of atrial fibrillation and its management, and decisional conflict. Results 1117 participants across six sites were included in the analysis. Compared with usual care, the combined use of both the patient decision aid and the encounter decision aid improved the quality of shared decision making (adjusted mean difference 12.1 (95% confidence interval (CI) 8.0 to 16.2; P<0.001), improved patients’ knowledge (odds ratio 1.68 (95% CI 1.35 to 2.09; P<0.001), and reduced patients’ decisional conflict (adjusted mean difference −6.3 (95% CI −9.6 to −3.1; P<0.001). Statistically significant improvements were also observed with the encounter decision aid alone versus usual care for all three outcomes and with the patient decision aid alone versus usual care for quality of shared decision making and knowledge. No important differences were observed in treatment choices for stroke prevention or in participants’ satisfaction. No statistically significant difference in the length of visit across study groups was detected. Conclusion Patients who received any decision aid (encounter decision aid, patient decision aid, or both) had lower decisional conflict, better shared decision making, and greater knowledge than those receiving no decision aid, except for the effect of the patient decision aid on decisional conflict, which did not reach statistical significance. The study establishes that use of either pre-visit or in-visit decision aids individually or in combination is advantageous compared with usual care. Trial registration ClinicalTrials.gov NCT04357288 .