33 research outputs found

    Intramural and subserosal echogenic foci on US in large-bowel intussusceptions: prognostic indicator for reducibility?

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    Background: In large-bowel intussusceptions, several US signs are known to indicate a lower likelihood of reducibility by enema. US can demonstrate echogenic dots or lines (foci) in the bowel wall, which might indicate an ischemic bowel. Objective: To determine the presence of echogenic intramural and subserosal foci in large-bowel intussusceptions and to evaluate the degree of correlation with reducibility. Materials and methods: Between 2001 and 2008, 74 consecutive US examinations were retrospectively evaluated by two pediatric radiologists for intramural and subserosal echogenic foci, or trapped gas, in the intussusception. The degree of correlation between the sonographic findings and reducibility was evaluated. Results: Of 73 intussusceptions examined by US, 56 (76%) were reducible and 17 (23%) were not reducible. Out of 10 intussusceptions with intramural gas, 11 with subserosal gas, and 14 with intramural and subserosal gas, 8 (80%), 6 (56%), 9 (64%), respectively, were not reducible. The presence of intramural gas or subserosal gas or both predicted a lower chance of reduction, but with regard to the effect of these findings together, intramural gas was the only significant predictor. Conclusion: Having intramural gas in large-bowel intussusception significantly decreases the chance of reductio

    Intramural and subserosal echogenic foci on US in large-bowel intussusceptions: prognostic indicator for reducibility?

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    BACKGROUND: In large-bowel intussusceptions, several US signs are known to indicate a lower likelihood of reducibility by enema. US can demonstrate echogenic dots or lines (foci) in the bowel wall, which might indicate an ischemic bowel. OBJECTIVE: To determine the presence of echogenic intramural and subserosal foci in large-bowel intussusceptions and to evaluate the degree of correlation with reducibility. MATERIALS AND METHODS: Between 2001 and 2008, 74 consecutive US examinations were retrospectively evaluated by two pediatric radiologists for intramural and subserosal echogenic foci, or trapped gas, in the intussusception. The degree of correlation between the sonographic findings and reducibility was evaluated. RESULTS: Of 73 intussusceptions examined by US, 56 (76%) were reducible and 17 (23%) were not reducible. Out of 10 intussusceptions with intramural gas, 11 with subserosal gas, and 14 with intramural and subserosal gas, 8 (80%), 6 (56%), 9 (64%), respectively, were not reducible. The presence of intramural gas or subserosal gas or both predicted a lower chance of reduction, but with regard to the effect of these findings together, intramural gas was the only significant predictor. CONCLUSION: Having intramural gas in large-bowel intussusception significantly decreases the chance of reduction

    Prospective multicenter assessment of patient preferences for properties of gadolinium-based contrast media and their potential socioeconomic impact in a screening breast MRI setting

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    Objective: It is unknown how patients prioritize gadolinium-based contrast media (GBCM) benefits (detection sensitivity) and risks (reactions, gadolinium retention, cost). The purpose of this study is to measure preferences for properties of GBCM in women at intermediate or high risk of breast cancer undergoing annual screening MRI. Methods: An institutional reviewed board-approved prospective discrete choice conjoint survey was administered to patients at intermediate or high risk for breast cancer undergoing screening MRI at 4 institutions (July 2018-March 2020). Participants were given 15 tasks and asked to choose which of two hypothetical GBCM they would prefer. GBCMs varied by the following attributes: sensitivity for cancer detection (80-95%), intracranial gadolinium retention (1-100 molecules per 100 million administered), severe allergic-like reaction rate (1-19 per 100,000 administrations), mild allergic-like reaction rate (10-1000 per 100,000 administrations), out-of-pocket cost (2525-100). Attribute levels were based on published values of existing GBCMs. Hierarchical Bayesian analysis was used to derive attribute "importance." Preference shares were determined by simulation. Results: Response (87% [247/284]) and completion (96% [236/247]) rates were excellent. Sensitivity (importance = 44.3%, 95% confidence interval = 42.0-46.7%) was valued more than GBCM-related risks (mild allergic-like reaction risk (19.5%, 17.9-21.1%), severe allergic-like reaction risk (17.0%, 15.8-18.1%), intracranial gadolinium retention (11.6%, 10.5-12.7%), out-of-pocket expense (7.5%, 6.8-8.3%)). Lower income participants placed more importance on cost and less on sensitivity (p < 0.01). A simulator is provided that models GBCM preference shares by GBCM attributes and competition. Conclusions: Patients at intermediate or high risk for breast cancer undergoing MRI screening prioritize cancer detection over GBCM-related risks, and prioritize reaction risks over gadolinium retention. Key points: • Among women undergoing annual breast MRI screening, cancer detection sensitivity (attribute "importance," 44.3%) was valued more than GBCM-related risks (mild allergic reaction risk 19.5%, severe allergic reaction risk 17.0%, intracranial gadolinium retention 11.6%, out-of-pocket expense 7.5%). • Prospective four-center patient preference data have been incorporated into a GBCM choice simulator that allows users to input GBCM properties and calculate patient preference shares for competitor GBCMs. • Lower-income women placed more importance on out-of-pocket cost and less importance on cancer detection (p < 0.01) when prioritizing GBCM properties

    505 Use of Expanded Access at Michigan Medicine and Associations with Neighborhood Factors

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    OBJECTIVES/GOALS: Socioeconomic status (SES) affects risk of disease and access to therapies. The expanded access (EA) pathway allows for the clinical use of investigational products for patients who have serious illness but no Food and Drug Administration (FDA)-approved therapeutic options. The SES of patients who receive EA is unknown. METHODS/STUDY POPULATION: We reviewed the patients who were approved for treatment through a single-patient EA pathway between 2018 and 2023. Using Michigan Medicine (MM) DataDirect software linked to the MM electronic medical record system, we linked the EA pathway patients to neighborhood data from the National Neighborhood Data Archive (NaNDA) to compare neighborhood related markers of affluence among EA patients and others treated at MM. We used descriptive statistics to compare variables between EA pathway patients and residents of the state of Michigan or the local county surrounding MM (Washtenaw County), using US Census tract data to provide context for these findings. RESULTS/ANTICIPATED RESULTS: MM patients who received EA treatments were more likely to come from neighborhoods that showed markers of high SES compared to residents of the state of Michigan but not Washtenaw County. This includes the proportion of persons living in poverty (12.5% EA / 13.4% Michigan / 12.4% Washtenaw) and education in the form of a bachelor’s degree or higher (32.2% / 30.6% / 57.2%). This varied by the disease being treated. Oncology patients were more likely to be from areas with less poverty and more education (12.4% / 76.8%) than the EA average. EA patients being treated for infectious diseases were from areas with more poverty and less education (13.5% / 26.7%). DISCUSSION/SIGNIFICANCE: Patients treated at Michigan Medicine using treatments obtained through the EA pathway came from areas that were, on average, more affluent than residents of the state of Michigan as a whole. This finding warrants more research to ensure equitable access to these therapies for patients in disadvantaged neighborhoods

    158 Building a National Network for Collaborative Quantitative Staff

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    OBJECTIVES/GOALS: Quantitative Staff are an essential workforce for biomedical research. While faculty can engage with peers locally and through national organizations, similar opportunities are limited for staff and often do not meet their unique needs and interests. Creating a professional community is valuable for supporting and developing this workforce. METHODS/STUDY POPULATION: We established the Quantitative Scientific Staff National Network (QS2N2) with the mission to provide professional development and networking opportunities, and to serve as an information resource and advocate through the fostering of community among staff quantitative analysts at any career stage. The initial membership outreach was to all Biostatistics, Epidemiology, and Research Design (BERD) programs through members of ACTS BERD Special Interest Group (SIG). We created a Leadership Team and an Advisory Board consisting of staff and faculty biostatisticians with experience working as or managing staff to govern the network. A Core Planning Committee consisting of 15 members guides planning, implementation, and execution of network activities as operationalized through subcommittees. RESULTS/ANTICIPATED RESULTS: The network currently has 131 members from over 30 health science institutions. Subcommittees focused on Education and Training, Membership, Communication and Web Development, and Mentoring were created and are developing events, programs and infrastructure to further the network’s mission. Network events such as webinars will be offered quarterly; with our first event planned for Nov 3rd. Expansion and maturation of QS2N2 will be done through regular remote meetings where members can connect with peers at other institutions, engage in career development activities, and attend technical seminars. Additional membership outreach will seek to connect with staff in government and private sectors. DISCUSSION/SIGNIFICANCE: Knowledgeable, highly skilled collaborative analysts (e.g., biostatisticians, data scientists) are an essential workforce in clinical and translational science and health research centers.The QS2N2 will support professional development, engagement and growth of this critical workforce which is necessary to advance quality research
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