Debriefer cognitive load during Traditional Reflective Debriefing vs. Rapid Cycle Deliberate Practice interdisciplinary team training.

BACKGROUND: Cognitive load impacts performance of debriefers and learners during simulations, but limited data exists examining debriefer cognitive load. The aim of this study is to compare the cognitive load of the debriefers during simulation-based team training (SbTT) with Rapid Cycle Deliberate Practice (RCDP) debriefing and Traditional Reflective Debriefing (TRD). We hypothesize that cognitive load will be reduced during RCDP compared to TRD. METHODS: This study was part of a large-scale, interdisciplinary team training program at Children's Healthcare of Atlanta Egleston Pediatric Emergency Department, with 164 learners (physicians, nurses, medical technicians, paramedics, and respiratory therapists (RTs)). Eight debriefers (main facilitators and discipline-specific coaches) led 28 workshops, which were quasi-randomized to either RCDP or TRD. Each session began with a baseline medical resuscitation scenario and cognitive load measurement using the NASA Task Load Index (TLX), and the NASA TLX was repeated immediately following either TRD or RCDP debriefing. Raw scores of the NASA TLX before and after intervention were compared. ANOVA tests were used to compare differences in NASA TLX scores before and after intervention between the RCDP and TRD groups. RESULTS: For all debriefers, mean NASA TLX scores for physical demands and frustration significantly decreased (- 0.8, p = 0.004 and - 1.3, p = 0.002) in TRD and mean perceived performance success significantly increased (+ 2.4, p < 0.001). For RCDP, perceived performance success increased post-debriefing (+ 3.6, p < 0.001), time demands decreased (- 1.0, p = 0.04), and frustration decreased (- 2.0, p < 0.001). Comparing TRD directly to RCDP, perceived performance success was greater in RCDP than TRD (3.6 vs. 2.4, p = 0.04). Main facilitators had lower effort and mental demand in RCDP and greater perceived success (p < 0.001). CONCLUSION: RCDP had greater perceived success than TRD for debriefers. Main facilitators also report reduced effort and baseline mental demand in RCDP. For less experienced debriefers, newer simulation programs, or large team training sessions such as our study, RCDP may be a less mentally demanding debriefing methodology for facilitators.

A comparison of rapid cycle deliberate practice and traditional reflective debriefing on interprofessional team performance.

BACKGROUND: In simulation-based education, debriefing is necessary to promote knowledge acquisition and skill application. Rapid Cycle Deliberate Practice (RCDP) and Traditional Reflective Debriefing (TRD) are based in learning theories of deliberate practice and reflective learning, respectively. In this study, we compared the effectiveness of TRD versus RCDP on acquisition of conceptual knowledge and teamwork skills among interdisciplinary learners in the pediatric emergency department. METHODS: One hundred sixty-four learners including emergency department attending physicians, fellows, nurses, medical technicians, paramedics, and respiratory therapists, participated in 28 in-situ simulation workshops over 2 months. Groups were quasi-randomized to receive RCDP or TRD debriefing. Learners completed a multiple-choice test to assess teamwork knowledge. The TEAM Assessment Tool assessed team performance before and after debriefing. Primary outcomes were teamwork knowledge and team performance. RESULTS: Average pre-intervention baseline knowledge assessment scores were high in both groups (TRD mean 90.5 (SD 12.7), RCDP mean 88.7 (SD 15.5). Post-test scores showed small improvements in both groups (TRD mean 93.2 (SD 12.2), RCDP mean 89.9 (SD 13.8), as indicated by effect sizes (ES = 0.21 and 0.09, for TRD and RCDP, respectively). Assessment of team performance demonstrated a significant improvement in mean scores from pre-assessment to post-assessment for all TEAM Assessment skills in both TRD and RCDP arms, based on p-values (all p < 0.01) and effect sizes (all ES > 0.8). While pre-post improvements in TEAM scores were generally higher in the RCDP group based on effect sizes, analysis did not indicate either debriefing approach as meaningfully improved over the other. CONCLUSIONS: Our study did not demonstrate that either TRD versus RCDP was meaningfully better in teamwork knowledge acquisition or improving skill application and performance. As such, we propose Reflective Deliberate Practice as a framework for future study to allow learners to reflect on learning and practice in action.

Reducing Retained Foreign Objects in the Operating Room: A Quality Improvement Initiative.

BACKGROUND: Although the incidence of pediatric retained foreign objects (RFOs) during surgery is diminutive (1/32,000), RFOs are often the most common sentinel events reported. In 2021, our institution noted an increase in RFOs evidenced by a substantial decrease in days between events. We aimed to minimize the incidence of RFO which was measured as an increase of days between events at our institution by implementation of a Quality Improvement initiative. STUDY DESIGN: This effort was conducted across 4 surgical centers within a tertiary children's healthcare system in December 2021. Patients undergoing surgery within this healthcare system across all surgical specialties were included. The quality improvement initiative was developed by a multidisciplinary team and included 6 steps focusing on quiet time, minimizing interruptions, and closed-loop communication during final surgical count. Seven Plan-Do-Study-Act cycles were used to test, refine, and implement the protocol. Adherence to the final surgical count protocol was monitored throughout the study period. RESULTS: In 2021, before protocol implementation, average time between RFO events was 29 days. After implementation of our quality initiative, the final surgical count protocol, we improved to 451 days between RFO events by February 2023, exceeding the upper control limit (235 days). After implementation, the number of RFO events dropped from 7 in 2021 to 0 in 2022. Adherence to the final surgical count protocol implementation was 96.4% by the end of cycle 7. CONCLUSIONS: RFOs during pediatric surgical procedures can be successfully reduced using quality improvement methodology focusing on standardizing the procedure of the final surgical count.

Automated, calibration-free quantification of cortical bone porosity and geometry in postmenopausal osteoporosis from ultrashort echo time MRI and deep learning.

BACKGROUND: Assessment of cortical bone porosity and geometry by imaging in vivo can provide useful information about bone quality that is independent of bone mineral density (BMD). Ultrashort echo time (UTE) MRI techniques of measuring cortical bone porosity and geometry have been extensively validated in preclinical studies and have recently been shown to detect impaired bone quality in vivo in patients with osteoporosis. However, these techniques rely on laborious image segmentation, which is clinically impractical. Additionally, UTE MRI porosity techniques typically require long scan times or external calibration samples and elaborate physics processing, which limit their translatability. To this end, the UTE MRI-derived Suppression Ratio has been proposed as a simple-to-calculate, reference-free biomarker of porosity which can be acquired in clinically feasible acquisition times. PURPOSE: To explore whether a deep learning method can automate cortical bone segmentation and the corresponding analysis of cortical bone imaging biomarkers, and to investigate the Suppression Ratio as a fast, simple, and reference-free biomarker of cortical bone porosity. METHODS: In this retrospective study, a deep learning 2D U-Net was trained to segment the tibial cortex from 48 individual image sets comprised of 46 slices each, corresponding to 2208 training slices. Network performance was validated through an external test dataset comprised of 28 scans from 3 groups: (1) 10 healthy, young participants, (2) 9 postmenopausal, non-osteoporotic women, and (3) 9 postmenopausal, osteoporotic women. The accuracy of automated porosity and geometry quantifications were assessed with the coefficient of determination and the intraclass correlation coefficient (ICC). Furthermore, automated MRI biomarkers were compared between groups and to dual energy X-ray absorptiometry (DXA)- and peripheral quantitative CT (pQCT)-derived BMD. Additionally, the Suppression Ratio was compared to UTE porosity techniques based on calibration samples. RESULTS: The deep learning model provided accurate labeling (Dice score 0.93, intersection-over-union 0.88) and similar results to manual segmentation in quantifying cortical porosity (R2 ≥ 0.97, ICC ≥ 0.98) and geometry (R2 ≥ 0.82, ICC ≥ 0.75) parameters in vivo. Furthermore, the Suppression Ratio was validated compared to established porosity protocols (R2 ≥ 0.78). Automated parameters detected age- and osteoporosis-related impairments in cortical bone porosity (P ≤ .002) and geometry (P values ranging from <0.001 to 0.08). Finally, automated porosity markers showed strong, inverse Pearson's correlations with BMD measured by pQCT (|R| ≥ 0.88) and DXA (|R| ≥ 0.76) in postmenopausal women, confirming that lower mineral density corresponds to greater porosity. CONCLUSION: This study demonstrated feasibility of a simple, automated, and ionizing-radiation-free protocol for quantifying cortical bone porosity and geometry in vivo from UTE MRI and deep learning.

Physician self-identified race and opioid prescription practices in upper extremity injuries in the pediatric emergency department.

Background: Minority children have been shown to receive fewer opioid analgesics for acute pain. Objective: Assess if both White and non-White physicians prescribe fewer opioids to non-White children presenting to the pediatric emergency department (PED) with upper extremity (UE) fractures. Methods: Patients with acute UE fractures were evaluated. Attending physicians provided their self-identified race and consented to analysis of their opioid prescribing practices. Primary outcome was receipt of an opioid prescription at discharge. Bivariate analyses measured the association between patient race and receipt of an opioid prescription; further analysis evaluated the effect of physician race on prescription practices. Generalized linear models measured these associations while controlling for confounders. Results: Thirty-four percent of eligible patients (2754/8155) were discharged with an opioid prescription. There was no statistically significant difference in odds of being discharged with an opioid prescription for non-Hispanic Black (NHB) compared to non-Hispanic White (NHW) patients. There was no statistically significant difference in odds of prescribing opioids by both White physicians and non-White physicians. In patients with the most severe fractures, requiring sedation for reduction, NHB patients had lower odds of receiving an opioid prescription (OR 0.80; 95% CI: 0.65-0.98). Conclusion: Within our institution, NHB patients received fewer opioid prescriptions at discharge for UE fractures. There is no statistically significant association between NHB race and odds of receiving an opioid prescription. In patients sedated for fracture reductions, NHB patients had lower odds of receiving an opioid prescription and non-White physicians had lower odds of prescribing opioids to NHB patients compared to NHW patients.

Quantitative susceptibility mapping using plug-and-play alternating direction method of multipliers.

Quantitative susceptibility mapping employs regularization to reduce artifacts, yet many recent denoisers are unavailable for reconstruction. We developed a plug-and-play approach to QSM reconstruction (PnP QSM) and show its flexibility using several patch-based denoisers. We developed PnP QSM using alternating direction method of multiplier framework and applied collaborative filtering denoisers. We apply the technique to the 2016 QSM Challenge and in 10 glioblastoma multiforme datasets. We compared its performance with four published QSM techniques and a multi-orientation QSM method. We analyzed magnetic susceptibility accuracy using brain region-of-interest measurements, and image quality using global error metrics. Reconstructions on glioblastoma data were analyzed using ranked and semiquantitative image grading by three neuroradiologist observers to assess image quality (IQ) and sharpness (IS). PnP-BM4D QSM showed good correlation (ß = 0.84, R2 = 0.98, p < 0.05) with COSMOS and no significant bias (bias = 0.007 ± 0.012). PnP-BM4D QSM achieved excellent quality when assessed using structural similarity index metric (SSIM = 0.860), high frequency error norm (HFEN = 58.5), cross correlation (CC = 0.804), and mutual information (MI = 0.475) and also maintained good conspicuity of fine features. In glioblastoma datasets, PnP-BM4D QSM showed higher performance (IQGrade = 2.4 ± 0.4, ISGrade = 2.7 ± 0.3, IQRank = 3.7 ± 0.3, ISRank = 3.9 ± 0.3) compared to MEDI (IQGrade = 2.1 ± 0.5, ISGrade = 2.1 ± 0.6, IQRank = 2.4 ± 0.6, ISRank = 2.9 ± 0.2) and FANSI-TGV (IQGrade = 2.2 ± 0.6, ISGrade = 2.1 ± 0.6, IQRank = 2.7 ± 0.3, ISRank = 2.2 ± 0.2). We illustrated the modularity of PnP QSM by interchanging two additional patch-based denoisers. PnP QSM reconstruction was feasible, and its flexibility was shown using several patch-based denoisers. This technique may allow rapid prototyping and validation of new denoisers for QSM reconstruction for an array of useful clinical applications.

Barriers to Seasonal Influenza Vaccine Uptake in a Pediatric Inpatient Healthcare Setting After Implementation of Clinical Decision Support.

Every heatlhcare encounter is an opportunity to provide both acute care and health maintenance to children. A Clinical Decision Support (CDS) intervention was instituted in a tertiary pediatric health system to improve influenza vaccination rates during the 2019-2020 season among eligible children receiving care in an acute care inpatient healthcare setting. This study explores reasons for low vaccine uptake following implementation of a CDS aimed at improving vaccine administration as well as identifying possible solutions to improve flu vaccine coverage.

MR susceptibility imaging for detection of tumor-associated macrophages in glioblastoma.

PURPOSE: Tumor-associated macrophages (TAMs) are a key component of glioblastoma (GBM) microenvironment. Considering the differential role of different TAM phenotypes in iron metabolism with the M1 phenotype storing intracellular iron, and M2 phenotype releasing iron in the tumor microenvironment, we investigated MRI to quantify iron as an imaging biomarker for TAMs in GBM patients. METHODS: 21 adult patients with GBM underwent a 3D single echo gradient echo MRI sequence and quantitative susceptibility maps were generated. In 3 subjects, ex vivo imaging of surgical specimens was performed on a 9.4 Tesla MRI using 3D multi-echo GRE scans, and R2* (1/T2*) maps were generated. Each specimen was stained with hematoxylin and eosin, as well as CD68, CD86, CD206, and L-Ferritin. RESULTS: Significant positive correlation was observed between mean susceptibility for the tumor enhancing zone and the L-ferritin positivity percent (r = 0.56, p = 0.018) and the combination of tumor's enhancing zone and necrotic core and the L-Ferritin positivity percent (r = 0.72; p = 0.001). The mean susceptibility significantly correlated with positivity percent for CD68 (ρ = 0.52, p = 0.034) and CD86 (r = 0.7 p = 0.001), but not for CD206 (ρ = 0.09; p = 0.7). There was a positive correlation between mean R2* values and CD68 positive cell counts (r = 0.6, p = 0.016). Similarly, mean R2* values significantly correlated with CD86 (r = 0.54, p = 0.03) but not with CD206 (r = 0.15, p = 0.5). CONCLUSIONS: This study demonstrated the potential of MR quantitative susceptibility mapping as a non-invasive method for in vivo TAM quantification and phenotyping. Validation of these findings with large multicenter studies is needed.

Resolving Pediatric Preventive Care Gaps Through Hospital Inreach.

OBJECTIVES: Panel management processes have been used to help improve population-level care and outreach to patients outside the health care system. Opportunities to resolve gaps in preventive care are often missed when patients present outside of primary care settings but still within the larger health care system. We hypothesized that we could design a process of "inreach" capable of resolving care gaps traditionally addressed solely in primary care settings. Our aim was to identify and resolve gaps in vaccinations and screening for lead exposure for children within our primary care registry aged 2 to 66 months who were admitted to the hospital. We sought to increase care gaps closed from 12% to 50%. METHODS: We formed a multidisciplinary team composed of primary care and hospital medicine physicians, nursing leadership, and quality improvement experts within the Division of General and Community Pediatrics. The team identified a smart aim, mapped the process, predicted failure modes, and developed a key driver diagram. We identified, tested, and implemented multiple interventions related to role assignment, identification of admitted patients with care gaps, and communication with the inpatient teams. RESULTS: After increasing the reliability of our process to identify and contact the hospital medicine team caring for patients who needed action to 88%, we observed an increase in the preventive care gaps closed from 12% to 41%. CONCLUSIONS: A process to help improve preventive care for children can be successfully implemented by using quality improvement methodologies outside of the traditional domains of primary care.

Magnetic susceptibility and R2* of myocardial reperfusion injury at 3T and 7T.

PURPOSE: Magnetic susceptibility (Δχ) alterations have shown association with myocardial infarction (MI) iron deposition, yet there remains limited understanding of the relationship between relaxation rates and susceptibility or the effect of magnetic field strength. Hence, Δχ and R2∗ in MI were compared at 3T and 7T. METHODS: Subacute MI was induced by coronary artery ligation in male Yorkshire swine. 3D multiecho gradient echo imaging was performed at 1-week postinfarction at 3T and 7T. Quantitative susceptibility mapping images were reconstructed using a morphology-enabled dipole inversion. R2∗ maps and quantitative susceptibility mapping were generated to assess the relationship between R2∗ , Δχ, and field strength. Infarct histopathology was investigated. RESULTS: Magnetic susceptibility was not significantly different across field strengths (7T: 126.8 ± 41.7 ppb; 3T: 110.2 ± 21.0 ppb, P = NS), unlike R2∗ (7T: 247.0 ± 14.8 Hz; 3T: 106.1 ± 6.5 Hz, P < .001). Additionally, infarct Δχ and R2∗ were significantly higher than remote myocardium. Magnetic susceptibility at 7T versus 3T had a significant association (ß = 1.02, R2 = 0.82, P < .001), as did R2∗ (ß = 2.35, R2 = 0.98, P < .001). Infarct pathophysiology and iron deposition were detected through histology and compared with imaging findings. CONCLUSION: R2∗ showed dependence and Δχ showed independence of field strength. Histology validated the presence of iron and supported imaging findings.

Sustained Improvement in the Performance of Rapid Sequence Intubation Five Years after a Quality Improvement Initiative.

Many quality improvement interventions do not lead to sustained improvement, and the sustainability of healthcare interventions remains understudied. We conducted a time-series analysis to determine whether improvements in the safety of rapid sequence intubation (RSI) in our academic pediatric emergency department were sustained 5 years after a quality improvement initiative. METHODS: There were 3 study periods: baseline (April 2009-March 2010), improvement (July 2012-December 2013), and operational (January 2014-December 2018). All patients undergoing RSI were eligible. We collected data using a structured video review. We compared key processes and outcomes with statistical process control charts. RESULTS: We collected data for 615 of 643 (96%) patient encounters with RSI performed: 114 baseline (12 months), 105 improvement (18 months), and 396 operational (60 months). Key characteristics were similar, including patient age. Statistical process control charts indicated sustained improvement of all 6 key processes and the primary outcome measure (oxyhemoglobin desaturation) throughout the 5-year operational period. CONCLUSIONS: Improvements in RSI safety were sustained 5 years after a successful improvement initiative, with further improvement seen in several key processes. Further research is needed to elucidate the factors contributing to sustainability.

Endogenous T1ρ cardiovascular magnetic resonance in hypertrophic cardiomyopathy.

BACKGROUND: Hypertrophic cardiomyopathy (HCM) is characterized by increased left ventricular wall thickness, cardiomyocyte hypertrophy, and fibrosis. Adverse cardiac risk characterization has been performed using late gadolinium enhancement (LGE), native T1, and extracellular volume (ECV). Relaxation time constants are affected by background field inhomogeneity. T1ρ utilizes a spin-lock pulse to decrease the effect of unwanted relaxation. The objective of this study was to study T1ρ as compared to T1, ECV, and LGE in HCM patients. METHODS: HCM patients were recruited as part of the Novel Markers of Prognosis in Hypertrophic Cardiomyopathy study, and healthy controls were matched for comparison. In addition to cardiac functional imaging, subjects underwent T1 and T1ρ cardiovascular magnetic resonance imaging at short-axis positions at 1.5T. Subjects received gadolinium and underwent LGE imaging 15-20 min after injection covering the entire heart. Corresponding basal and mid short axis LGE slices were selected for comparison with T1 and T1ρ. Full-width half-maximum thresholding was used to determine the percent enhancement area in each LGE-positive slice by LGE, T1, and T1ρ. Two clinicians independently reviewed LGE images for presence or absence of enhancement. If in agreement, the image was labeled positive (LGE + +) or negative (LGE --); otherwise, the image was labeled equivocal (LGE + -). RESULTS: In 40 HCM patients and 10 controls, T1 percent enhancement area (Spearman's rho = 0.61, p < 1e-5) and T1ρ percent enhancement area (Spearman's rho = 0.48, p < 0.001e-3) correlated with LGE percent enhancement area. T1 and T1ρ percent enhancement areas were also correlated (Spearman's rho = 0.28, p = 0.047). For both T1 and T1ρ, HCM patients demonstrated significantly longer relaxation times compared to controls in each LGE category (p < 0.001 for all). HCM patients also showed significantly higher ECV compared to controls in each LGE category (p < 0.01 for all), and LGE -- slices had lower ECV than LGE + + (p = 0.01). CONCLUSIONS: Hyperenhancement areas as measured by T1ρ and LGE are moderately correlated. T1, T1ρ, and ECV were elevated in HCM patients compared to controls, irrespective of the presence of LGE. These findings warrant additional studies to investigate the prognostic utility of T1ρ imaging in the evaluation of HCM patients.

Classification of Myocardial 18F-FDG PET Uptake Patterns Using Deep Learning.

PURPOSE: To perform automated myocardial segmentation and uptake classification from whole-body fluorine 18 fluorodeoxyglucose (FDG) PET. MATERIALS AND METHODS: In this retrospective study, consecutive patients who underwent FDG PET imaging for oncologic indications were included (July-August 2018). The left ventricle (LV) on whole-body FDG PET images was manually segmented and classified as showing no myocardial uptake, diffuse uptake, or partial uptake. A total of 609 patients (mean age, 64 years ± 14 [standard deviation]; 309 women) were included and split between training (60%, 365 patients), validation (20%, 122 patients), and testing (20%, 122 patients) datasets. Two sequential neural networks were developed to automatically segment the LV and classify the myocardial uptake pattern using segmentation and classification training data provided by human experts. Linear regression was performed to correlate findings from human experts and deep learning. Classification performance was evaluated using receiver operating characteristic (ROC) analysis. RESULTS: There was moderate agreement of uptake pattern between experts and deep learning (as a fraction of correctly categorized images) with 78% (36 of 46) for no uptake, 71% (34 of 48) for diffuse uptake, and 71% (20 of 28) for partial uptake. There was no bias in LV volume for partial or diffuse uptake categories (P = .56); however, deep learning underestimated LV volumes in the no uptake category. There was good correlation for LV volume (R 2 = 0.35, b = .71). ROC analysis showed the area under the curve for classifying no uptake and diffuse uptake was high (> 0.90) but lower for partial uptake (0.77). The feasibility of a myocardial uptake index (MUI) for quantifying the degree of myocardial activity patterns was shown, and there was excellent visual agreement between MUI and uptake patterns. CONCLUSION: Deep learning was able to segment and classify myocardial uptake patterns on FDG PET images.Keywords: PET, Heart, Computer Aided Diagnosis, Computer Application-Detection/DiagnosisSupplemental material is available for this article.©RSNA, 2021.

Evaluation of a Clinical Decision Support Strategy to Increase Seasonal Influenza Vaccination Among Hospitalized Children Before Inpatient Discharge.

Importance: Hospitalized children are at increased risk of influenza-related complications, yet influenza vaccine coverage remains low among this group. Evidence-based strategies about vaccination of vulnerable children during all health care visits are especially important during the COVID-19 pandemic. Objective: To design and evaluate a clinical decision support (CDS) strategy to increase the proportion of eligible hospitalized children who receive a seasonal influenza vaccine prior to inpatient discharge. Design, Setting, and Participants: This quality improvement study was conducted among children eligible for the seasonal influenza vaccine who were hospitalized in a tertiary pediatric health system providing care to more than half a million patients annually in 3 hospitals. The study used a sequential crossover design from control to intervention and compared hospitalizations in the intervention group (2019-2020 season with the use of an intervention order set) with concurrent controls (2019-2020 season without use of an intervention order set) and historical controls (2018-2019 season with use of an order set that underwent intervention during the 2019-2020 season). Interventions: A CDS intervention was developed through a user-centered design process, including (1) placing a default influenza vaccine order into admission order sets for eligible patients, (2) a script to offer the vaccine using a presumptive strategy, and (3) just-in-time education for clinicians addressing vaccine eligibility in the influenza order group with links to further reference material. The intervention was rolled out in a stepwise fashion during the 2019-2020 influenza season. Main Outcomes and Measures: Proportion of eligible hospitalizations in which 1 or more influenza vaccines were administered prior to discharge. Results: Among 17 740 hospitalizations (9295 boys [52%]), the mean (SD) age was 8.0 (6.0) years, and the patients were predominantly Black (n = 8943 [50%]) or White (n = 7559 [43%]) and mostly had public insurance (n = 11 274 [64%]). There were 10 997 hospitalizations eligible for the influenza vaccine in the 2019-2020 season. Of these, 5449 (50%) were in the intervention group, and 5548 (50%) were concurrent controls. There were 6743 eligible hospitalizations in 2018-2019 that served as historical controls. Vaccine administration rates were 31% (n = 1676) in the intervention group, 19% (n = 1051) in concurrent controls, and 14% (n = 912) in historical controls (P < .001). In adjusted analyses, the odds of receiving the influenza vaccine were 3.25 (95% CI, 2.94-3.59) times higher in the intervention group and 1.28 (95% CI, 1.15-1.42) times higher in concurrent controls than in historical controls. Conclusions and Relevance: This quality improvement study suggests that user-centered CDS may be associated with significantly improved influenza vaccination rates among hospitalized children. Stepwise implementation of CDS interventions was a practical method that was used to increase quality improvement rigor through comparison with historical and concurrent controls.

Improving Isotonic Maintenance Intravenous Fluid Use in the Emergency Department.

BACKGROUND: Maintenance intravenous fluids (IVFs) are commonly used in the hospital setting. Hypotonic IVFs are commonly used in pediatrics despite concerns about high incidence of hyponatremia. We aimed to increase isotonic maintenance IVF use in children admitted from the emergency department (ED) from a baseline of 20% in 2018 to >80% by December 2019. METHODS: We included patients aged 28 days to 18 years receiving maintenance IVFs (rate >10 mL/hour) at the time of admission. Patients with active chronic medical problems were excluded. Interventions included institutional discussions on isotonic IVF based on literature review, education on isotonic IVF use per the American Academy of Pediatrics guideline (isotonic IVF use with appropriate potassium chloride and dextrose), electronic medical record changes to encourage isotonic IVF use, and group practice review with individual physician audit and feedback. Balancing measures were the frequency of serum electrolyte checks within 24 hours of ED admission and occurrence of hypernatremia. Data were analyzed by using statistical process control charts. RESULTS: Isotonic maintenance IVF use improved, with special cause observed twice; the 80% goal was met and sustained. No difference was noted in serum electrolyte checks within 24 hours of admission (P > .05). There was no increase in occurrence of hypernatremia among patients who received isotonic IVF compared with those who received hypotonic IVF (P > .05). CONCLUSIONS: The application of improvement methods resulted in improved isotonic IVF use in ED patients admitted to the inpatient setting. Institutional readiness for change at the time of the American Academy of Pediatrics guideline release and hardwiring of preferred fluids via electronic medical record changes were critical to success.

Prevalence of SARS-CoV-2 antibodies in pediatric healthcare workers.

OBJECTIVES: To determine SARS-CoV-2-antibody prevalence in pediatric healthcare workers (pHCWs). DESIGN: Baseline prevalence of anti-SARS-CoV-2-IgG was assessed in a prospective cohort study from a large pediatric healthcare facility. Prior SARS-CoV-2 testing history, potential risk factors and anxiety level about COVID-19 were determined. Prevalence difference between emergency department (ED)-based and non-ED-pHCWs was modeled controlling for those covariates. Chi-square test-for-trend was used to examine prevalence by month of enrollment. RESULTS: Most of 642 pHCWs enrolled were 31-40years, female and had no comorbidities. Half had children in their home, 49% had traveled, 42% reported an illness since January, 31% had a known COVID-19 exposure, and 8% had SARS-CoV-2 PCR testing. High COVID-19 pandemic anxiety was reported by 71%. Anti-SARS-CoV-2-IgG prevalence was 4.1%; 8.4% among ED versus 2.0% among non-ED pHCWs (p < 0.001). ED-work location and known COVID-19 exposure were independent risk factors. 31% of antibody-positive pHCWs reported no symptoms. Prevalence significantly (p < 0.001) increased from 3.0% in April-June to 12.7% in July-August. CONCLUSIONS: Anti-SARS-CoV-2-IgG prevalence was low in pHCWs but increased rapidly over time. Both working in the ED and exposure to a COVID-19-positive contact were associated with antibody-seropositivity. Ongoing universal PPE utilization is essential. These data may guide vaccination policies to protect front-line workers.

Closed-loop control of k-space sampling via physiologic feedback for cine MRI.

BACKGROUND: Segmented cine cardiac MRI combines data from multiple heartbeats to achieve high spatiotemporal resolution cardiac images, yet predefined k-space segmentation trajectories can lead to suboptimal k-space sampling. In this work, we developed and evaluated an autonomous and closed-loop control system for radial k-space sampling (ARKS) to increase sampling uniformity. METHODS: The closed-loop system autonomously selects radial k-space sampling trajectory during live segmented cine MRI and attempts to optimize angular sampling uniformity by selecting views in regions of k-space that were not previously well-sampled. Sampling uniformity and the ability to detect cardiac phase in vivo was assessed using ECG data acquired from 10 normal subjects in an MRI scanner. The approach was then implemented with a fast gradient echo sequence on a whole-body clinical MRI scanner and imaging was performed in 4 healthy volunteers. The closed-loop k-space trajectory was compared to random, uniformly distributed and golden angle view trajectories via measurement of k-space uniformity and the point spread function. Lastly, an arrhythmic dataset was used to evaluate a potential application of the approach. RESULTS: The autonomous trajectory increased k-space sampling uniformity by 15±7%, main lobe point spread function (PSF) signal intensity by 6±4%, and reduced ringing relative to golden angle sampling. When implemented, the autonomous pulse sequence prescribed radial view angles faster than the scan TR (0.98 ± 0.01 ms, maximum = 1.38 ms) and increased k-space sampling mean uniformity by 10±11%, decreased uniformity variability by 44±12%, and increased PSF signal ratio by 6±6% relative to golden angle sampling. CONCLUSION: The closed-loop approach enables near-uniform radial sampling in a segmented acquisition approach which was higher than predetermined golden-angle radial sampling. This can be utilized to increase the sampling or decrease the temporal footprint of an acquisition and the closed-loop framework has the potential to be applied to patients with complex heart rhythms.

Iron imaging in myocardial infarction reperfusion injury.

Restoration of coronary blood flow after a heart attack can cause reperfusion injury potentially leading to impaired cardiac function, adverse tissue remodeling and heart failure. Iron is an essential biometal that may have a pathologic role in this process. There is a clinical need for a precise noninvasive method to detect iron for risk stratification of patients and therapy evaluation. Here, we report that magnetic susceptibility imaging in a large animal model shows an infarct paramagnetic shift associated with duration of coronary artery occlusion and the presence of iron. Iron validation techniques used include histology, immunohistochemistry, spectrometry and spectroscopy. Further mRNA analysis shows upregulation of ferritin and heme oxygenase. While conventional imaging corroborates the findings of iron deposition, magnetic susceptibility imaging has improved sensitivity to iron and mitigates confounding factors such as edema and fibrosis. Myocardial infarction patients receiving reperfusion therapy show magnetic susceptibility changes associated with hypokinetic myocardial wall motion and microvascular obstruction, demonstrating potential for clinical translation.

MR Intracranial Vessel Wall Imaging: A Systematic Review.

The purpose of this systematic review is to identify trends and extent of variability in intracranial vessel wall MR imaging (VWI) techniques and protocols. Although variability in selection of protocol design and pulse sequence type is known, data on what and how protocols vary are unknown. Three databases were searched to identify publications using intracranial VWI. Publications were screened by predetermined inclusion/exclusion criteria. Technical development publications were scored for completeness of reporting using a modified Nature Reporting Summary Guideline to assess reproducibility. From 2,431 articles, 122 met the inclusion criteria. Trends over the last 23 years (1995-2018) show increased use of 3-Tesla MR (P < .001) and 3D volumetric T1-weighted acquisitions (P < .001). Most (65%) clinical VWI publications report achieving a noninterpolated in-plane spatial resolution of ≤.55 mm. In the last decade, an increasing number of technical development (n = 20) and 7 Tesla (n = 12) publications have been published, focused on pulse sequence development, improving cerebrospinal fluid suppression, scan efficiency, and imaging ex vivo specimen for histologic validation. Mean Reporting Summary Score for the technical development publications was high (.87, range: .63-1.0) indicating strong scientific technical reproducibility. Innovative work continues to emerge to address implementation challenges. Gradual adoption into the research and scientific community was suggested by a shift in the name in the literature from "high-resolution MR" to "vessel wall imaging," specifying diagnostic intent. Insight into current practices and identifying the extent of technical variability in the literature will help to direct future clinical and technical efforts to address needs for implementation.