Rapid Cycle Deliberate Practice Training for Simulated Cardiopulmonary Resuscitation in Resident Education.

Background: Simulation-based medical education has been used in medical training for decades. Rapid cycle deliberate practice (RCDP) is a novel simulation strategy that uses iterative practice and feedback to achieve skill mastery. To date, there has been minimal evaluation of RCDP vs standard immersive simulation (IS) for the teaching of cardiopulmonary resuscitation to graduate medical education (GME) learners. Our primary objective was to compare the time to performance of Advanced Cardiac Life Support (ACLS) actions between trainees who completed RCDP vs IS. Methods: This study was a prospective, randomized, controlled curriculum evaluation. A total of 55 postgraduate year-1 internal medicine and emergency medicine residents participated in the study. Residents were randomized to instruction by RCDP (28) or IS (27). Stress and ability were self-assessed before and after training using an anonymous survey that incorporated five-point Likert-type questions. We measured and compared times to initiate critical ACLS actions between the two groups during a subsequent IS. Results: Prior learner experience between RCDP and IS groups was similar. Times to completion of the first pulse check, chest compression initiation, backboard placement, pad placement, initial rhythm analysis, first defibrillation, epinephrine administration, and antiarrhythmic administration were similar between RCDP and IS groups. However, RCDP groups took less time to complete the pulse check between compression cycles (6.2 vs 14.2 seconds, P = 0.01). Following training, learners in the RCDP and IS groups scored their ability to lead and their levels of anticipated stress similarly (3.43 vs 3.30, (P = 0.77), 2.43 vs. 2.41, P = 0.98, respectively). However, RCDP groups rated their ability to participate in resuscitation more highly (4.50 vs 3.96, P = 0.01). The RCDP groups also reported their realized stress of participating in the event as lower than that of the IS groups (2.36 vs 2.85, P = 0.01). Conclusion: Rapid cycle deliberate practice learners demonstrated a shorter pulse check duration, reported lower stress levels associated with their experience, and rated their ability to participate in ACLS care more highly than their IS-trained peers. Our results support further investigation of RCDP in other simulation settings.

Performance of Febrile Infant Decision Tools on Hypothermic Infants Evaluated for Infection.

BACKGROUND: Given the lack of evidence-based guidelines for hypothermic infants, providers may be inclined to use febrile infant decision-making tools to guide management decisions. Our objective was to assess the diagnostic performance of febrile infant decision tools for identifying hypothermic infants at low risk of bacterial infection. METHODS: We conducted a secondary analysis of a retrospective cohort study of hypothermic (≤36.0 C) infants ≤90 days of age presenting to the emergency department or inpatient unit among 9 participating sites between September 1, 2016 and May 5, 2021. Well-appearing infants evaluated for bacterial infections via laboratory testing were included. Infants with complex chronic conditions or premature birth were excluded. Performance characteristics for detecting serious bacterial infection (SBI; urinary tract infection, bacteremia, bacterial meningitis) and invasive bacterial infection (IBI; bacteremia, bacterial meningitis) were calculated for each tool. RESULTS: Overall, 314 infants met the general inclusion criteria, including 14 cases of SBI (4.5%) and 7 cases of IBI (2.2%). The median age was 5 days, and 68.1% of the infants (214/314) underwent a full sepsis evaluation. The Philadelphia, Boston, IBI Score, and American Academy of Pediatrics Clinical Practice Guideline did not misclassify any SBI or IBI as low risk; however, they had low specificity and positive predictive value. Rochester and Pediatric Emergency Care Applied Research Network tools misclassified infants with bacterial infections. CONCLUSIONS: Several febrile infant decision tools were highly sensitive, minimizing missed SBIs and IBIs in hypothermic infants. However, the low specificity of these decision tools may lead to unnecessary testing, antimicrobial exposure, and hospitalization.

Time to Positive Blood and Cerebrospinal Fluid Cultures in Hypothermic Young Infants.

BACKGROUND AND OBJECTIVE: Hypothermia in young infants may be secondary to an invasive bacterial infection. No studies have explored culture time-to-positivity (TTP) in hypothermic infants. Our objective was to compare TTP of blood and cerebrospinal fluid (CSF) cultures between pathogenic and contaminant bacteria in hypothermic infants ≤90 days of age. METHODS: Secondary analysis of a retrospective cohort of 9 children's hospitals. Infants ≤90 days of age presenting to the emergency department or inpatient setting with hypothermia from September 1, 2017, to May 5, 2021, with positive blood or CSF cultures were included. Differences in continuous variables between pathogenic and contaminant organism groups were tested using a 2-sample t test and 95% confidence intervals for the mean differences reported. RESULTS: Seventy-seven infants met inclusion criteria. Seventy-one blood cultures were positive, with 20 (28.2%) treated as pathogenic organisms. Five (50%) of 10 positive CSF cultures were treated as pathogenic. The median (interquartile range [IQR]) TTP for pathogenic blood cultures was 16.8 (IQR 12.7-19.2) hours compared with 26.11 (IQR 20.5-48.1) hours for contaminant organisms (P < .001). The median TTP for pathogenic organisms on CSF cultures was 34.3 (IQR 2.0-53.7) hours, compared with 58.1 (IQR 52-72) hours for contaminant CSF organisms (P < .186). CONCLUSIONS: Our study is the first to compare the TTP of blood and CSF cultures between pathogenic and contaminant bacteria in hypothermic infants. All pathogenic bacteria in the blood grew within 36 hours. No difference in TTP of CSF cultures between pathogenic and contaminant bacteria was detected.

Variation in Care of Well-Appearing Hypothermic Young Infants: A Multisite Study.

BACKGROUND AND OBJECTIVES: Numerous decision tools have emerged to guide management of febrile infants, but limited data exist to guide the care of young infants presenting with hypothermia. We evaluated the variation in care for well-appearing hypothermic young infants in the hospital and/or emergency department setting between participating sites. METHODS: This is a retrospective cohort study of well-appearing infants ≤90 days old across 9 academic medical centers from September 1, 2016 to May 5, 2021. Infants were identified via billing codes for hypothermia or an initial temperature ≤36.0°C with manual chart review performed. Primary outcomes included assessment of variation in diagnostic evaluation, disposition, empirical antimicrobial therapy, and length of stay. RESULTS: Of 14 278 infants originally identified, 739 met inclusion criteria. Significant interhospital variation occurred across all primary outcomes. Across sites, a full serious bacterial illness evaluation was done in 12% to 76% of hypothermic infants. Empirical antibiotics were administered 20% to 87% of the time. Performance of herpes simplex viral testing ranged from 7% to 84%, and acyclovir was empirically started 8% to 82% of the time. Hospital admission rates ranged from 45% to 100% of patients. CONCLUSIONS: Considerable variation across multiple aspects of care exists for well-appearing young infants presenting with hypothermia. An improved understanding of hypothermic young infants and their risk of infection can lead to the development of clinical decision tools to guide appropriate evaluation and management.

A patient-centered approach to learning social determinants of health for first year medical students.

INTRODUCTION: To address health disparities, future physicians must understand the role of social determinants of health (SDH). Teaching SDH can be challenging. We created an authentic SDH curriculum using four real myocardial infarction (MI) patients. METHODS: During the three academic years from 2019-2020 to 2021-2022, 579 first year medical students participated in the four day curriculum. Day 1: students interviewed and learned about their patient's MI. Day 2: students met in small groups and shared their patient's history. At session end, students were familiar with four patient stories. Day 3: students explored their patient's neighborhood and then interviewed their patient again, focusing on SDH. Day 4: students gave formal patient presentations that highlighted SDH. Group discussion followed and reinforced the role of SDH. Students wrote reflections on SDH that were read and graded. End of course evaluations were reviewed. RESULTS: Five hundred and seventy-nine students completed the curriculum. Course directors graded SDH reflections on a six-point rubric for the years of 2020-2021 and 2021-2022. Ninety percent and 96% of the SDH reflections during the respective years contained 5-6/6 of the rubric components. Ninety-six percent to 98% of students 'agreed' or 'strongly agreed' that the curriculum was effective for their learning. DISCUSSION: For educators in need of an SDH curriculum that is both engaging and effective, we have found this activity to be feasible, low cost, and highly impactful for first year medical students.[Box: see text].

Prevalence of Invasive Bacterial Infection in Hypothermic Young Infants: A Multisite Study.

OBJECTIVE: To determine the prevalence of bacteremia and meningitis (invasive bacterial infection [IBI]) in hypothermic young infants, and also to determine the prevalence of serious bacterial infections (SBI) and neonatal herpes simplex virus and to identify characteristics associated with IBI. STUDY DESIGN: We conducted a retrospective cohort study of infants ≤90 days of age who presented to 1 of 9 hospitals with historical or documented hypothermia (temperature ≤36.0°C) from September 1, 2017, to May 5, 2021. Infants were identified by billing codes or electronic medical record search of hypothermic temperatures. All charts were manually reviewed. Infants with hypothermia during birth hospitalization, and febrile infants were excluded. IBI was defined as positive blood culture and/or cerebrospinal fluid culture treated as a pathogenic organism, whereas SBI also included urinary tract infection. We used multivariable mixed-effects logistic regression to identify associations between exposure variables and IBI. RESULTS: Overall, 1098 young infants met the inclusion criteria. IBI prevalence was 2.1% (95% CI, 1.3-2.9) (bacteremia 1.8%; bacterial meningitis 0.5%). SBI prevalence was 4.4% (95% CI, 3.2-5.6), and neonatal herpes simplex virus prevalence was 1.3% (95% CI, 0.6-1.9). Significant associations were found between IBI and repeated temperature instability (OR, 4.9; 95% CI, 1.3-18.1), white blood cell count abnormalities (OR, 4.8; 95% CI, 1.8-13.1), and thrombocytopenia (OR, 5.0; 95% CI, 1.4-17.0). CONCLUSIONS: IBI prevalence in hypothermic young infants is 2.1%. Further understanding of characteristics associated with IBI can guide the development decision tools for management of hypothermic young infants.

Delayed Diagnosis of Pediatric Sternoclavicular Joint Infections and Clavicular Osteomyelitis During the COVID-19 Pandemic: A Report of 3 Cases.

Sternoclavicular joint infections and osteomyelitis of the clavicle are extremely rare infections, especially in the pediatric population. Early signs of these infections are nonspecific and can be mistaken for common upper respiratory infections such as COVID-19 and influenza. Rapid diagnosis and treatment are critical for preventing potentially fatal complications such as mediastinitis. We present three cases of sternoclavicular joint infections in the past year during the COVID-19 pandemic. All three patients had delayed diagnoses likely secondary to COVID-19 workup. Each patient underwent surgical irrigation and débridement. Two of three patients required multiple surgeries and prolonged antibiotic courses. Placement of antibiotic-impregnated calcium sulfate beads into the surgical site cleared the infection in all cases where they were used. All three patients made a full recovery; however, the severity of their situations should not be overlooked. Children presenting to the hospital with chest pain, fever, and shortness of breath should not simply be discharged based on a negative COVID-19 test or other viral assays. A higher index of suspicion for bacterial infections such as clavicular osteomyelitis is important. Close attention must be placed on the physical examination to locate potential areas of concentrated pain, erythema, or swelling to prompt advanced imaging if necessary.

Computational Design of Structured and Functional Peptide Macrocycles.

Structure-based computational design methods have been developed to create proteins in silico with diverse shapes and sizes that accurately fold in vitro, from 7-residue macrocycles to megadalton-scale self-assembling nanomaterials. Precise control over protein shape has further enabled design and optimization of functional therapeutic proteins, including agonists, antagonists, enzymes, and vaccines. Computational design of functional peptides of smaller size presents a persistent challenge, with few successful examples to date. Herein we describe validated general methods for computational design of peptides using the Rosetta molecular modeling suite and discuss outstanding challenges and future directions.

Drip System for Admissions to Resident Teams: Impact on Workload and Education.

OBJECTIVES: Assigning patients to a call team every fourth day (bolus system) caused the maldistribution of patients among resident teams and required additional faculty effort for overflow patient care. We changed to a continuous daily rotation (drip system) and examined the effect on clinical workload among resident teams, resident education, and faculty utilization. METHODS: This is a retrospective study based on the daily records of 7 am team census, the attending physician schedules for a pediatric hospital medicine service with 5 teams, and the measures of resident education, including noon conference attendance, scores on in-service examinations, and duty hour violations. Data from the bolus system (May 2014-June 2015) were compared with the drip system (May 2016-June 2017). RESULTS: Data from 348 bolus days and 338 drip days were analyzed. There was a decrease in interteam variation from 6.2 to 3.9 patients (P < 0.001). There were fewer days with the following: large interteam variation (143 to 25, P < 0.001), days with resident teams at or above capacity (26 to 11, P = 0.01), resident teams below a minimum 7 am census (133 to 18, P < 0.001), and days when additional faculty were pulled for clinical care (61 to 9, P < 0.001). Resident noon conference attendance was unchanged and there was no adverse effect on examination scores or duty hour violations. CONCLUSIONS: Changing from a bolus to a drip model for admissions to inpatient teams resulted in a more even distribution of the workload and a more efficient use of physician resources without negatively affecting resident education.

Prognostic Value of Functional Capacity in Different Exercise Protocols.

Background Functional capacity is associated with mortality, although the prognostic value of achieved estimated metabolic equivalents (METs) across various exercise protocols is not established. We sought to determine whether achieved METs had different prognostic implications according to the protocol employed. Methods and Results From 1991 to 2015, we identified 120 705 consecutive patients from a stress testing registry who underwent the following 7 different standardized exercise protocols: Bruce, modified Bruce, Cornell 0%, Cornell 5%, Cornell 10%, Naughton, and modified Naughton. The primary outcome was all-cause mortality. There were 74 953 Bruce, 8368 modified Bruce, 2648 Cornell 0%, 9972 Cornell 5%, 20 425 Cornell 10%, 1226 Naughton, and 3113 modified Naughton protocols. During a mean follow-up of 8.7 years, a total of 8426 deaths (6.9%) occurred. When compared with the Bruce protocol, after multivariable adjustment for clinical risk factors, medications, and functional capacity, test protocol was independently associated with mortality (modified Naughton [hazard ratio (HR), 2.51; 95% CI, 2.26-2.8], Naughton [HR, 1.79; 95% CI, 1.57-2.04], Cornell 0% [HR, 1.79; 95% CI, 1.59-2.01], modified Bruce [HR, 1.62; 95% CI, 1.48-1.76], Cornell 5% [HR, 1.61; 95% CI, 1.47-1.75], and Cornell 10% [HR, 1.32; 95% CI, 1.22-1.42]). Across all protocols, higher estimated METs were associated with lower mortality, although the equivalent METs achieved were associated with a worse prognosis in less-demanding protocols. Conclusions Higher estimated METs are reliably associated with lower mortality in all exercise protocols, although the prognostic value is not transferable across different tests. Consequently, the prognostic value of METs achieved during a stress test should be considered protocol dependent.

De novo design of bioactive protein switches.

Allosteric regulation of protein function is widespread in biology, but is challenging for de novo protein design as it requires the explicit design of multiple states with comparable free energies. Here we explore the possibility of designing switchable protein systems de novo, through the modulation of competing inter- and intramolecular interactions. We design a static, five-helix 'cage' with a single interface that can interact either intramolecularly with a terminal 'latch' helix or intermolecularly with a peptide 'key'. Encoded on the latch are functional motifs for binding, degradation or nuclear export that function only when the key displaces the latch from the cage. We describe orthogonal cage-key systems that function in vitro, in yeast and in mammalian cells with up to 40-fold activation of function by key. The ability to design switchable protein functions that are controlled by induced conformational change is a milestone for de novo protein design, and opens up new avenues for synthetic biology and cell engineering.

On the Development of a Computer-Based Tool for Formative Student Assessment: Epistemological, Methodological, and Practical Issues.

Formative assessments in schools have the potential to improve students' learning outcomes and self-regulation skills; they make learning visible and provide evidence-based guidelines for setting up and pursuing individual learning goals. With the recent introduction of the computer-based formative assessment systems for the educational contexts, there is much hope that such systems will provide teachers and students with valuable information to guide the learning process without taking much time from teaching and learning to spend on generating, evaluating and interpreting assessments. In this paper, we combine the theoretical and applied perspectives by addressing (a) the epistemological aspects of the formative assessment, with an emphasis on data collection, model building, and interpretation; (b) the methodological challenges of providing feedback in the context of instruction in the classroom; and (c) practical requirements for and related challenges of setting up and delivering the assessment system to a large number of students. In the epistemological section, we develop and explicate the interpretive argument of formative assessment and discuss the challenges of obtaining data with high validity. From the methodological perspective, we argue that computer-based formative assessment systems are generally superior to the traditional methods of providing feedback in the classroom, as they better allow supporting inferences of the interpretive argument. In the section on practical requirements, we first introduce an existing computer-based formative assessment system, as a case in point, for discussing related practical challenges. Topics covered in this section comprise the specifications of assessment content, the calibration and maintenance of the item bank, challenges concerning teachers' and students' assessment literacy, as well as ethical and data-protection requirements. We conclude with an outlook on possible future directions for computer-based formative assessment systems and the field in general.

Larotrectinib (LOXO-101).

One of the most challenging issues in oncology research and treatment is identifying oncogenic drivers within an individual patient's tumor which can be directly targeted by a clinically available therapeutic drug. In this context, gene fusions as one important example of genetic aberrations leading to carcinogenesis follow the widely accepted concept that cell growth and proliferation are driven by the accomplished fusion (usually involving former proto-oncogenes) and may therefore be successfully inhibited by substances directed against the fusion. This concept has already been established with oncogenic gene fusions like BCR-ABL in chronic myelogenous leukemia (CML) or anaplastic lymphoma kinase (ALK) in lung cancer, including special tyrosine kinase inhibitors (TKIs) which are able to block the activation of the depending downstream proliferation pathways and, consequently, tumor growth. During the last decade, the NTRK1, 2, and 3 genes, encoding the TRKA, B, and C proteins, have attracted increasing attention as another significant and targetable gene fusion in a variety of cancers. Several TRK inhibitors have been developed, and one of them, Larotrectinib (formerly known as LOXO-101), represents an orally available, selective inhibitor of the TRK receptor family that has already shown substantial clinical benefit in both pediatric and adult patients harboring an NTRK gene fusion over the last few years.

Olaparib.

Olaparib (Lynparza [AstraZeneca, Cambridge, UK], formerly referred to as AZD2281 or KU0059436) is an oral poly(ADP-ribose) polymerase (PARP) inhibitor. It is rationally designed to act as a competitive inhibitor of NAD+ at the catalytic site of PARP1 and PARP2, both members of the PARP family of enzymes that are central to the repair of DNA single-strand breaks (SSBs) mediated via the base excision repair (BER) pathway. Inhibition of the BER pathway by olaparib leads to the accumulation of unrepaired SSBs, which leads to the formation of deleterious double-strand breaks (DSBs). In cells with an intact homologous recombination (HR) pathway, these DSBs can be repaired effectively. However, in tumors with homologous recombination repair deficiencies, olaparib causes synthetic lethality through the combination of two molecular events that are otherwise nonlethal when occurring in isolation. Olaparib is already approved for the treatment of patients with recurrent ovarian cancer and a BRCA mutation, and it has been shown to provide clinically meaningful benefits among such patients. It has also shown promising activity in patients with metastatic breast or prostate cancer and a germline BRCA mutation. Besides its usage as a single agent, olaparib can also act either as a chemo- and/or radiosensitizer, due to its ability to potentiate the cytotoxic effects of these therapeutic agents. However, a clear patient benefit for the latter application has not been demonstrated yet.

High-throughput characterization of protein-protein interactions by reprogramming yeast mating.

High-throughput methods for screening protein-protein interactions enable the rapid characterization of engineered binding proteins and interaction networks. While existing approaches are powerful, none allow quantitative library-on-library characterization of protein interactions in a modifiable extracellular environment. Here, we show that sexual agglutination of Saccharomyces cerevisiae can be reprogrammed to link interaction strength with mating efficiency using synthetic agglutination (SynAg). Validation of SynAg with 89 previously characterized interactions shows a log-linear relationship between mating efficiency and protein binding strength for interactions with Kds ranging from below 500 pM to above 300 µM. Using induced chromosomal translocation to pair barcodes representing binding proteins, thousands of distinct interactions can be screened in a single pot. We demonstrate the ability to characterize protein interaction networks in a modifiable environment by introducing a soluble peptide that selectively disrupts a subset of interactions in a representative network by up to 800-fold. SynAg enables the high-throughput, quantitative characterization of protein-protein interaction networks in a fully defined extracellular environment at a library-on-library scale.

Computationally designed high specificity inhibitors delineate the roles of BCL2 family proteins in cancer.

Many cancers overexpress one or more of the six human pro-survival BCL2 family proteins to evade apoptosis. To determine which BCL2 protein or proteins block apoptosis in different cancers, we computationally designed three-helix bundle protein inhibitors specific for each BCL2 pro-survival protein. Following in vitro optimization, each inhibitor binds its target with high picomolar to low nanomolar affinity and at least 300-fold specificity. Expression of the designed inhibitors in human cancer cell lines revealed unique dependencies on BCL2 proteins for survival which could not be inferred from other BCL2 profiling methods. Our results show that designed inhibitors can be generated for each member of a closely-knit protein family to probe the importance of specific protein-protein interactions in complex biological processes.