Improved Utilization of Serial Testing Without Increased Admissions after Implementation of High-Sensitivity Troponin I: a Controlled Retrospective Cohort Study.

BACKGROUND: Guidelines recommend high-sensitivity cardiac troponin (hs-cTn) for diagnosis of myocardial infarction. Use of hs-cTn is increasing across the U.S., but questions remain regarding clinical and operational impact. Prior studies have had methodologic limitations and yielded conflicting results. OBJECTIVE: To evaluate the impact of transitioning from conventional cardiac troponin (cTn) to hs-cTn on test and resource utilization, operational efficiency, and patient safety. DESIGN: Retrospective cohort study in two New York City hospitals during the months before and after transition from conventional cTn to hs-cTn at Hospital 1. Hospital 2 served as a control. PARTICIPANTS: Consecutive emergency department (ED) patients with at least one cTn test resulted. INTERVENTION: Multifaceted hs-cTn intervention bundle, including a 0/2-h diagnostic algorithm for non-ST-elevation myocardial infarction, an educational bundle, enhancements to the electronic medical record, and nursing interventions to facilitate timed sample collection. MAIN MEASURES: Primary outcomes included serial cTn test utilization, probability of hospital admission, ED length of stay (LOS), and among discharged patients, probability of ED revisit within 72 h resulting in hospital admission. Multivariable regression models adjusted for age, sex, temporal trends, and interhospital differences. KEY RESULTS: The intervention was associated with increased use of serial cTn testing (adjusted risk difference: 48 percentage points, 95% CI: 45-50, P < 0.001) and ED LOS (adjusted geometric mean difference: 50 min, 95% CI: 50-51, P < 0.001). There was no significant association between the intervention and probability of admission (adjusted relative risk [aRR]: 0.99, 95% CI: 0.89-1.1, P = 0.81) or probability of ED revisit within 72 h resulting in admission (aRR: 1.1, 95% CI: 0.44-2.9, P = 0.81). CONCLUSIONS: Implementation of a hs-cTn intervention bundle was associated with an improvement in serial cTn testing, a neutral effect on probability of hospital admission, and a modest increase in ED LOS.

In severe COVID-19, high-flow vs. conventional oxygen therapy reduced intubation and time to clinical recovery at 28 d.

SOURCE CITATION: Ospina-Tascón GA, Calderón-Tapia LE, García AF, et al. Effect of high-flow oxygen therapy vs conventional oxygen therapy on invasive mechanical ventilation and clinical recovery in patients with severe COVID-19: a randomized clinical trial. JAMA. 2021;326:2161-71. 34874419.

Emergency Department Patient Navigator Program Demonstrates Reduction in Emergency Department Return Visits and Increase in Follow-up Appointment Adherence.

BACKGROUND: An estimated 56% of emergency department (ED) visits are avoidable. One motivation for return visits is patients' perception of poor access to timely outpatient care. Efforts to facilitate access may help reduce preventable ED visits. We aimed to analyze whether an ED patient navigator (PN) program improved adherence with outpatient appointments and reduced ED return visits. METHODS: We performed a retrospective analysis of patients evaluated and discharged from two EDs from October 2016 to December 2019. Using propensity score matching, an intervention case group was matched against two control groups - patients similar to the case group who presented either (1) pre-PN intervention or (2) post-PN intervention and did not receive intervention. The four outcomes included 72-h return ED visits, 30-day return ED visits, overall ED utilization, as well as the intervention group's adherence rates to PN-scheduled outpatient appointments. From 482,896 charts, propensity matching led to a total of 14,295 patients in each group. RESULTS: PN intervention decreased both acute and subacute ED return visits. Compared to both pre-PN and post-PN controls, navigated patients had a decrease in 72-h and 30-day return visits from 2% to 1% and 7% to 4% (p < 0.001) respectively. Navigated patients also had outpatient appointment adherence rates of 74-80% compared to the estimated national average of 25-56%. While there was no difference in mean ED utilization between the intervention group and pre-PN control group, mean ED utilization was found to be higher in the intervention group compared to the post-PN control group with 0.62 visits compared to 0.38 mean visits (p < 0.001). CONCLUSIONS: By facilitating access to post-ED care, PNs may reduce avoidable ED utilization and improve outpatient follow-up adherence. While overall ED utilization did not change, this may be due to the overall vulnerability of the navigated group which is the goal PN intervention group.

A predictive model of clinical deterioration among hospitalized COVID-19 patients by harnessing hospital course trajectories.

From early March through mid-May 2020, the COVID-19 pandemic overwhelmed hospitals in New York City. In anticipation of ventilator shortages and limited ICU bed capacity, hospital operations prioritized the development of prognostic tools to predict clinical deterioration. However, early experience from frontline physicians observed that some patients developed unanticipated deterioration after having relatively stable periods, attesting to the uncertainty of clinical trajectories among hospitalized patients with COVID-19. Prediction tools that incorporate clinical variables at one time-point, usually on hospital presentation, are suboptimal for patients with dynamic changes and evolving clinical trajectories. Therefore, our study team developed a machine-learning algorithm to predict clinical deterioration among hospitalized COVID-19 patients by extracting clinically meaningful features from complex longitudinal laboratory and vital sign values during the early period of hospitalization with an emphasis on informative missing-ness. To incorporate the evolution of the disease and clinical practice over the course of the pandemic, we utilized a time-dependent cross-validation strategy for model development. Finally, we validated our prediction model on an external validation cohort of COVID-19 patients served in a demographically distinct population from the training cohort. The main finding of our study is the identification of risk profiles of early, late and no clinical deterioration during the course of hospitalization. While risk prediction models that include simple predictors at ED presentation and clinical judgement are able to identify any deterioration vs. no deterioration, our methodology is able to isolate a particular risk group that remain stable initially but deteriorate at a later stage of the course of hospitalization. We demonstrate the superior predictive performance with the utilization of laboratory and vital sign data during the early period of hospitalization compared to the utilization of data at presentation alone. Our results will allow efficient hospital resource allocation and will motivate research in understanding the late deterioration risk group.

Use of Physician-Estimated and Patient Self-Reported Weights to Guide Initial Fluid Resuscitation in Emergency Department Patients With Suspected Sepsis.

BACKGROUND: Knowledge of patient weight is required to guide initial intravenous fluid therapy for patients with sepsis-associated hypotension or elevated lactate. Previous studies have shown patients are better estimators of their weight than medical providers are; critically ill patients, however, may be unable to provide this information. OBJECTIVES: This study compares the accuracy of physician-estimated and patient self-reported weights to subsequent inpatient bed/stretcher scale weights for guiding initial protocol-based intravenous fluid therapy in the treatment of emergency department patients with suspected sepsis. METHODS: Adult patients presenting with a suspected diagnosis of severe sepsis to a large, urban, academic emergency department had either physician-estimated or patient self-reported weights recorded on presentation. All patients had subsequent inpatient bed/stretcher scale weights recorded on the first day of hospitalization. RESULTS: Physician-estimated and patient self-reported weights linearly correlated (P < .001) with inpatient bed/stretcher scale weights. Median accuracy error for physicians (5.4% [2.0-10.1]) and patients (3.9% [1.6-6.4]) was not significantly different (P = .28). Physician-estimated and patient self-reported weights accuracy was determined at multiple levels: within 5% (46%, 57%, respectively), 10% (75%, 90%), 15% (90%, 95%), and 20% (100%, 95%) error tolerances, as well accurate estimates within 5 kg (69.2%, 70.0%). CONCLUSIONS: Both physician-estimated and patient self-reported weights are reliable when calculating initial protocol-based intravenous fluid resuscitation for emergency department patients with sepsis.

Utilizing Telemedicine in a Novel Approach to COVID-19 Management and Patient Experience in the Emergency Department.

Background: The COVID-19 crisis has highlighted telemedicine as a care delivery tool uniquely suited for a disaster pandemic. Introduction: With support from emergency department (ED) leadership, our institution rapidly deployed telemedicine in a novel approach to large-scale ED infectious disease management at NewYork-Presbyterian/Weill Cornell Medical Center (NYP/WCMC) and NewYork-Presbyterian/Lower Manhattan Hospital (NYP/LMH). Materials and Methods: Nineteen telemedicine carts were placed in COVID-19 isolation rooms to conserve personal protective equipment (PPE) and mitigate infectious risk for patients and providers by decreasing in-person exposures. Results: The teleisolation carts were used for 261 COVID-19 patient interactions from March to May 2020, with 79% of overall use in March. Our urban academic site (NYP/WCMC) had 173 of these cases, and the urban community hospital (NYP/LMH) had 88. This initiative increased provider/patient communication and attention to staff safety, improved palliative care and patient support services, lowered PPE consumption, and streamlined clinical workflows. The carts also increased patient comfort and reduced the psychological toll of isolation. Discussion: Deploying customized placement strategies in these two EDs maximized cart availability for isolation patients and demonstrates the utility of telemedicine in various ED settings. Conclusions: The successful introduction of this program in both academic and urban community hospitals suggests that widespread adoption of similar initiatives could improve safe ED evaluation of potentially infectious patients. In the longer term, our experience underscores the critical role of telemedicine in disaster preparedness planning, as building these capabilities in advance allows for the agile scaling needed to manage unforeseen catastrophic scenarios.

Routine Laboratory Blood Tests Predict SARS-CoV-2 Infection Using Machine Learning.

BACKGROUND: Accurate diagnostic strategies to identify SARS-CoV-2 positive individuals rapidly for management of patient care and protection of health care personnel are urgently needed. The predominant diagnostic test is viral RNA detection by RT-PCR from nasopharyngeal swabs specimens, however the results are not promptly obtainable in all patient care locations. Routine laboratory testing, in contrast, is readily available with a turn-around time (TAT) usually within 1-2 hours. METHOD: We developed a machine learning model incorporating patient demographic features (age, sex, race) with 27 routine laboratory tests to predict an individual's SARS-CoV-2 infection status. Laboratory testing results obtained within 2 days before the release of SARS-CoV-2 RT-PCR result were used to train a gradient boosting decision tree (GBDT) model from 3,356 SARS-CoV-2 RT-PCR tested patients (1,402 positive and 1,954 negative) evaluated at a metropolitan hospital. RESULTS: The model achieved an area under the receiver operating characteristic curve (AUC) of 0.854 (95% CI: 0.829-0.878). Application of this model to an independent patient dataset from a separate hospital resulted in a comparable AUC (0.838), validating the generalization of its use. Moreover, our model predicted initial SARS-CoV-2 RT-PCR positivity in 66% individuals whose RT-PCR result changed from negative to positive within 2 days. CONCLUSION: This model employing routine laboratory test results offers opportunities for early and rapid identification of high-risk SARS-CoV-2 infected patients before their RT-PCR results are available. It may play an important role in assisting the identification of SARS-CoV-2 infected patients in areas where RT-PCR testing is not accessible due to financial or supply constraints.

One-pot decarboxylative acylation of N-, O-, S-nucleophiles and peptides with 2,2-disubstituted malonic acids.

Monocarbonyl activation of 2,2-disubstituted malonic acids with benzotriazole leads to decarboxylation of one of the carboxy groups and formation of a CH bond. Intermediate carbonyl benzotriazoles then readily acylate nucleophilic reagents and peptides resulting in libraries of conjugates and peptidomimetics.

Synthesis and direct C2 functionalization of imidazolium and 1,2,4-triazolium N-imides.

Pd-catalyzed direct C2 arylation and Cu-catalyzed direct one-pot alkynylation/intramolecular cyclization of azolium N-imides are reported. Various acetylenes, aryl iodides, and 1-alkyl substituents were examined. The mild protocol allows direct C2 arylation of azolium N-imides without the use of specialized reagents together with novel one-pot regioselective preparations of imidazole-pyrazolo and pyrazolo-1,2,4-triazole ring systems. The electronic properties of selected examples were examined by fluorescence spectroscopy.

Gabapentin hybrid peptides and bioconjugates.

Synthetic approaches to gabapentin bioconjugates that overcome the tendency of gabapentin to cyclize into its γ-lactam are studied. Gabapentin was converted by N-acylation at its N-terminus into di-, tri-, and tetrapeptides (L-Ala-Gbp, L-Val-Gbp, L-Ala-L-Phe-Gbp, Gly-L-Ala-ß-Ala-Gbp). Carboxyl-activated Boc-protected gabapentin was used to N-, O-, and S-acylate small peptides and hormones to give conjugates that could also provide prodrugs containing conformationally constrained gabapentin units.

Push-pull triazenes derived from 1-(benzylideneamino)- and 1-(sulfonimido)-azolylidenes.

In-situ-generated neutral 1-(benzylideneamino)- and novel anionic 1-(sulfonimido)-azolylidenes react with organic azides to afford diverse classes of push-pull triazenes and triazene salts. The scope of the heterocyclic core and substituents at the N1 and N3 positions of NHC precursors together with the thermal properties of resulting compounds were examined.

Oxyazapeptides: synthesis, structure determination, and conformational analysis.

Herein we report the synthesis, X-ray structure determination, and conformational analysis of a novel class of heteroatom-modified peptidomimetics, which we shall call "oxyazapeptides". Substituting the typical native N-C(α) bond with an O-N(α) bond creates a completely new, previously unknown family of peptidomimetics, which are hydrolytically stable and display very interesting conformational behavior. Force field calculations revealed that the barrier to rotation around the O-N(α) bond in oxyazapeptides is five times lower than that around the N-N(α) bond in azapeptides. Also, conformational analysis supported by X-ray suggests that the oxyaza moiety can effectively induce ß-turns, which can make the newly discovered oxyazapeptide scaffold a useful tool for drug discovery and for design of biologics.

A Collaborative Emergency Medicine and Radiology Pulmonary Nodule Program: Identification of Associated Efficacy and Outcomes.

PURPOSE: Incidental radiologic findings are commonplace, but the episodic nature of emergency department (ED) care makes it challenging to ensure that patients obtain appropriate follow-up. Rates of follow-up range from 30% to 77%, with some studies demonstrating that more than 30% have no follow-up at all. The aim of this study is to describe and analyze the outcomes of a collaborative emergency medicine and radiology initiative to establish a formal workflow for the follow-up of pulmonary nodules identified during ED care. METHODS: A retrospective analysis was performed of patients referred to the pulmonary nodule program (PNP). Patients were divided into two categories: those with follow-up and those who do not have post-ED follow-up. The primary outcome was determining follow-up rates and outcomes, including patients referred for biopsy. The characteristics of patients who completed follow-up compared with those lost to follow-up were also examined. RESULTS: A total of 574 patients were referred to the PNP. Initial follow-up was established in 390 (69.1%); 30.8% were considered lost to follow-up, and more than half of these patients did not respond to initial contact. There were minimal differences in characteristics between patients in these two categories. Of the 259 patients who completed PNP follow-up, 26 were referred for biopsy (13%). CONCLUSIONS: The PNP provided effective transitions of care and potentially improved patient health care. Strategies to further enhance follow-up adherence will provide iterative improvement of the program. The PNP provides an implementation framework for post-ED pulmonary nodule follow-up in other health care systems and can be modified for use with other incidental diagnostic findings.

Social Determinants of Health Screening and Management: Lessons at a Large, Urban Academic Health System.

BACKGROUND: In October 2022 a multisite social determinants of health screening initiative was expanded across seven emergency departments of a large, urban hospital system. The aim of the initiative was to identify and address those underlying social needs that frequently interfere with a patient's health and well-being, often resulting in increased preventable system utilization. METHODS: Building on an established Patient Navigator Program, an existing screening process, and long-standing community-based partnerships, an interdisciplinary workgroup was formed to develop and implement the initiative. Technical and operational workflows were developed and implemented, and new staff members were hired and trained to screen and support patients with identified social needs. In addition, a community-based organization network was formed to explore and test social service referral strategies. RESULTS: Within the first five months of implementation, more than 8,000 patients were screened across seven emergency departments (EDs), of which 17.3% demonstrated a social need. Patient Navigators see between 5% and 10% of total nonadmitted ED patients. Among the three social needs of focus, housing presented as the greatest need (10.2%), followed by food (9.6%) and transportation (8.0%). Among patients identified as rising/high risk (728), 50.0% accepted support and are actively working with a Patient Navigator. CONCLUSION: There is growing evidence to support the link between unmet social needs and poor health outcomes. Health care systems are uniquely positioned to provide whole person care by identifying unresolved social needs and by building capacity within local community-based organizations to support those needs.

A new benzotriazole-mediated stereoflexible gateway to hetero-2,5-diketopiperazines.

Open chain Cbz-L-aa(1)-L-Pro-Bt (Bt=benzotriazole) sequences were converted into either the corresponding trans- or cis-fused 2,5-diketopiperazines (DKPs) depending on the reaction conditions. Thermodynamic tandem cyclization/epimerization afforded selectively the corresponding trans-DKPs (69-75%). Complementarily, tandem deprotection/cyclization led to the cis-DKPs (65-72%). A representative set of proline-containing cis- and trans-DKPs has been prepared. A mechanistic investigation, based on chiral HPLC, kinetics, and computational studies enabled a rationalization of the results.

Emergency Department Utilization Among Maintenance Hemodialysis Patients: A Systematic Review.

RATIONALE & OBJECTIVE: To evaluate predictors of emergency department (ED) utilization by adult patients receiving hemodialysis (HD) and interventions to reduce ED utilization by HD patients. STUDY DESIGN: We searched Ovid MEDLINE, Ovid Embase, and the Cochrane Library for randomized controlled trials and observational studies published until April 2020. SETTING & PARTICIPANTS: We included studies that investigated predictors of ED utilization and/or interventions to reduce ED utilization in HD patients. We extracted data regarding the study design and study population and results regarding ED utilization from 38 studies using Excel software. ANALYTICAL APPROACH: We performed a narrative synthesis to group articles that investigated similar themes. RESULTS: 1,060 titles and abstracts were screened, of which 98 were selected for full-text review. In total, 38 studies met the inclusion criteria and underwent data extraction. Quality was high according to the Downs and Black tool, with 11 studies rated as good, 22 as fair, and 5 as poor. 34 studies described predictors of ED utilization, whereas 4 studies investigated interventions in which ED utilization was studied. Our narrative synthesis produced 8 concept subgroups in the core concepts of access to care, comorbid condition burden, and new health care models. Poor access to care and a high comorbid condition burden are associated with increased ED use. No ED-based interventions designed to reduce ED utilization were identified, but recent changes in health care systems, like the formation of End-Stage Renal Disease Seamless Care Organizations and greater involvement of palliative care services, are associated with improved outcomes. LIMITATIONS: Clinical heterogeneity and variability in the included studies precluded a meta-analysis. CONCLUSIONS: HD patients' high ED use is multifactorial. Further research is required to understand and predict ED utilization in this vulnerable population, which will facilitate the development of interventions to reduce avoidable ED use. PROSPERO REGISTRATION NUMBER: CRD42020196569.

Laboratory Interventions to Eliminate Unnecessary Rapid COVID-19 Testing During a Reagent Shortage.

OBJECTIVES: In the fall of 2020, US medical centers were running out of rapid coronavirus disease 2019 (COVID-19) tests. The aim of this study is to evaluate the impact of an intervention to eliminate rapid test misutilization and to quantify the effect of the countermeasures to control rapid test ordering using a test utilization dashboard. METHODS: Interventions were made to preserve a severely limited supply of rapid diagnostic tests based on real-time analysis of a COVID-19 test utilization dashboard. This study is a retrospective observational study evaluating pre- and postintervention rates of appropriate rapid test use, reporting times, and cost/savings of resources used. RESULTS: This study included 14,462 severe acute respiratory syndrome coronavirus 2 reverse transcriptase polymerase chain reaction tests ordered during the study period. After the intervention, there was a 27.3% decrease in nonconforming rapid tests. Rapid test reporting time from laboratory receipt decreased by 1.47 hours. The number of days of rapid test inventory on hand increased by 39 days. CONCLUSIONS: Performing diagnostic test stewardship, informed by real-time review of a test utilization dashboard, was associated with significantly improved appropriate utilization of rapid diagnostic COVID-19 tests, improved reporting times, implied cost savings, and improved reagent inventory on hand, which facilitated the management of scarce resources during a pandemic.