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Background Poor comprehension and low compliance with post-ED (emergency department) care plans increase the risk of unscheduled ED return visits and adverse outcomes. Despite the growth of personal health records to support transitions of care, technological innovation's focus on the ED discharge process has been limited. Recent literature suggests that digital communication incorporated into post-ED care can improve patient satisfaction and care quality. Objectives We evaluated the feasibility of utilizing MyEDCare, a text message and smartphone-based electronic ED discharge process at two urban EDs. Methods MyEDCare sends text messages to patients' smartphones at the time of discharge, containing a hyperlink to a Health Insurance Portability and Accountability Act (HIPAA)-compliant website, to deliver patient-specific ED discharge instructions. Content includes information on therapeutics, new medications, outpatient care scheduling, return precautions, as well as results of laboratory and radiological diagnostic testing performed in the ED. Three text messages are sent to patients: at the time of ED discharge with the nurse assistance for initial access of content, as well as 2 and 29 days after ED discharge. MyEDCare was piloted in a 9-month pilot period in 2019 at two urban EDs in an academic medical center. We evaluated ED return visits, ED staff satisfaction, and patient satisfaction using ED Consumer Assessment of Healthcare Providers and Systems (ED-CAHPS) patient satisfaction scores. Results MyEDCare enrolled 27,713 patients discharged from the two EDs, accounting for 43% of treat-and-release ED patients. Of the treat-and-release patients, 27% completed MyEDCare discharge process, accessing the online content at the time of ED discharge. Patients discharged via MyEDCare had fewer 72-hour, 9-day, and 30-day unscheduled return ED visits and reported higher satisfaction related to nursing care. Conclusion EDs and urgent care facilities may consider developing a HIPAA-compliant, text message, and smartphone-based discharge process, including the transmission of test results, to improve patient-centered outcomes.

Background This study aimed to compare the incidence of cardiac troponin I (cTnI) concentrations above the limit of quantification (LOQ) and the sex-specific 99th percentile upper reference limits (URLs) between the Ultra contemporary cTnI assay and the high-sensitivity (hs-cTnI) assay on Siemens Centaur in patients evaluated in the emergency department (ED) and inpatient at a U.S. urban academic hospital. Methods A retrospective study was performed in an unselected patient cohort who presented to the hospital with symptoms suggestive of myocardial injury. All clinically ordered samples for cTnI assay (n = 1,056, LOQ 0.03 µg/L, URL 0.04 µg/L) were simultaneously tested on the hs-cTnI assay (LOQ 2.5 ng/L; URL 58 ng/L and 39 ng/L for male and female, respectively). Results The incidence of elevated cTnI above the 99th percentile URL in males measured by the hs-cTnI assay was significantly lower compared to the cTnI assay (31.4% vs. 38.7%, p = 0.016), whereas there was no difference in females (27.4% vs. 30.2%, p = 0.35) in all the patient samples. In ED patient samples (n = 718), the incidence of elevated cTnI above the sex-specific 99th percentile URL was not significantly different between the hs-cTnI and contemporary cTnI assays in either sex (male: hs-cTnI 16.6% vs. cTnI 21.5%, p = 0.13; female: hs-cTnI 19.6% vs. cTnI 21.1%, p = 0.66). The agreement between the two assays was 93.5% (kappa = 0.798). Results were confirmed in an independent patient cohort measured by the same instruments at another hospital. Conclusion Our study suggests that implementation of the hs-cTnI assay would not lead to an increase in the proportion of elevated cTnI above the 99th percentile in the emergency department and other inpatient units.

The REGAIN (Regional versus General Anesthesia for Promoting Independence after Hip Fracture) trial found similar ambulation and survival at 60 days with spinal versus general anesthesia for hip fracture surgery. Trial outcomes evaluating pain, prescription analgesic use, and patient satisfaction have not yet been reported.To compare pain, analgesic use, and satisfaction after hip fracture surgery with spinal versus general anesthesia.Preplanned secondary analysis of a pragmatic randomized trial. (ClinicalTrials.gov: NCT02507505).46 U.S. and Canadian hospitals.Patients aged 50 years or older undergoing hip fracture surgery.Spinal or general anesthesia.Pain on postoperative days 1 through 3; 60-, 180-, and 365-day pain and prescription analgesic use; and satisfaction with care.A total of 1600 patients were enrolled. The average age was 78 years, and 77% were women. A total of 73.5% (1050 of 1428) of patients reported severe pain during the first 24 hours after surgery. Worst pain over the first 24 hours after surgery was greater with spinal anesthesia (rated from 0 [no pain] to 10 [worst pain imaginable]; mean difference, 0.40 [95% CI, 0.12 to 0.68]). Pain did not differ across groups at other time points. Prescription analgesic use at 60 days occurred in 25% (141 of 563) and 18.8% (108 of 574) of patients assigned to spinal and general anesthesia, respectively (relative risk, 1.33 [CI, 1.06 to 1.65]). Satisfaction was similar across groups.Missing outcome data and multiple outcomes assessed.Severe pain is common after hip fracture. Spinal anesthesia was associated with more pain in the first 24 hours after surgery and more prescription analgesic use at 60 days compared with general anesthesia.Patient-Centered Outcomes Research Institute

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.

Rational and Objective 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 up until April 2020. Selection Criteria for Studies We included studies that investigated predictors of ED utilization and/or interventions to reduce ED utilization in HD patients. Data Extraction We extracted data regarding study design, study population, and results regarding ED utilization from 38 studies using Excel software. Analytical Approach We performed narrative synthesis to group articles that investigated similar themes. Results 1060 titles and abstracts were screened, of which 98 were selected for full-text review. 38 studies met inclusion criteria and underwent data extraction. Quality was high according to the Downs and Black tool, with 11 rated as good, 22 as fair, and 5 as poor. 34 studies described predictors of ED utilization, while 4 studies investigated interventions where ED utilization was studied. Our narrative synthesis produced 8 concept subgroups in the core concepts of access to care, comorbidity burden, and new healthcare models. Poor access to care and high comorbidity burden are associated with increased ED use. No ED-based interventions designed to reduce ED utilization were identified, but recent changes in healthcare systems like the formation of ESRD Seamless Care Organizations (ESCOs) 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.

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.

This supplement reviews the ACEP ED COVID-19 Management Tool, an emergency department classification and management tool for adult patients (aged ≥18 years) with suspected or confirmed SARS-CoV-2.

ObjectiveEarly paracentesis (EP) for rapid diagnosis of spontaneous bacterial peritonitis is considered best practice in the care of admitted patients with cirrhosis and ascites, but inpatient paracentesis is frequently not performed or delayed. We developed a quality improvement (QI) initiative aimed at increasing the proportion of admitted patients with cirrhosis who undergo paracentesis and EP.Design Pre–post study of a QI initiative.Setting A tertiary care hospital in a major metropolitan area.Patients Hospitalised patients with cirrhosis and ascites.InterventionsWe targeted care providers in the emergency department (ED) by raising awareness of the importance of EP, developing criteria to identify patients at highest risk of SBP who were prioritised for EP by ED providers and restructuring the ED environment to enable timely paracentesis.Results76 patients meeting inclusion criteria were admitted during the postintervention 9-month study period. Of these, 91% (69/76) underwent paracentesis during admission versus 71 % (77/109) preintervention (p=0.001). 81% (56/69) underwent EP within 12 hours of presentation or after a predefined acceptable reason for delay versus 48% (37/77) preintervention (p=0.001). There were no significant differences in in-hospital mortality or length of stay before and after intervention.ConclusionA multidisciplinary QI intervention targeting care in the ED successfully increased the proportion of patients with cirrhosis and ascites undergoing diagnostic paracentesis during admission and EP within 12 hours of presentation.

The association of mortality with early humoral response to SARS-CoV-2 infection within the first few days after onset of symptoms (DAOS) has not been thoroughly investigated partly due to a lack of sufficiently sensitive antibody testing methods. Here we report two sensitive and automated testing-on-a-probe (TOP) biosensor assays for SARS-CoV-2 viral specific total antibodies (TAb) and surrogate neutralizing antibodies (SNAb), which are suitable for clinical use. The TOP assays employ an RBD-coated quartz probe using a Cy5-Streptavidin-polysacharide conjugate to improved sensitivity and minimize interference. Disposable cartridge containing pre-dispensed reagents requires no liquid manipulation or fluidics during testing. The TOP-TAb assay exhibited higher sensitivity in the 0-7 DAOS window than a widely used FDA-EUA assay. The rapid and automated TOP-SNAb correlated well with two well-established SARS-CoV-2 virus neutralization tests. The clinical utility of the TOP assays was demonstrated by evaluating early antibody responses in 120 SARS-CoV-2 RT-PCR positive adult hospitalized patients. Higher TAb and SNAb positivity rates and more robust antibody responses at patient’s initial hospital presentation were seen in inpatients who survived COVID-19 than those who died in the hospital. Survival analysis using the Cox Proportional Hazards Model showed that patients who had negative TAb and/or SNAb at initial hospital presentation were at a higher risk of in-hospital mortality. Furthermore, TAb and SNAb levels at presentation were inversely associated with SARS-CoV-2 viral load based on concurrent RT-PCR testing. Overall, the sensitive and automated TAb and SNAb assays allow detection of early SARS-CoV-2 antibodies which associate with mortality., Highlights • Novel testing-on-a probe (TOP) biosensors employ Cy5-Streptavidin-polysaccharide with improved conjugation chemistry. • TOP assays allow rapid, sensitive, specific and fully automated detection of SARS-CoV-2 total (TAb) and surrogate neutralizing antibodies (SNAb). • Simple dip-and-read steps on a clinically available platform. • Disposable cartridge containing pre-dispensed reagents requiring no liquid manipulation or fluidics. • TOP-TAb and TOP-SNAb positivity rate and magnitude at initial hospital presentation are associated with in-hospital mortality.

In less than nine months, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) killed over a million people, including >25,000 in New York City (NYC) alone. The COVID-19 pandemic caused by SARS-CoV-2 highlights clinical needs to detect infection, track strain evolution, and identify biomarkers of disease course. To address these challenges, we designed a fast (30-minute) colorimetric test (LAMP) for SARS-CoV-2 infection from naso/oropharyngeal swabs and a large-scale shotgun metatranscriptomics platform (total-RNA-seq) for host, viral, and microbial profiling. We applied these methods to clinical specimens gathered from 669 patients in New York City during the first two months of the outbreak, yielding a broad molecular portrait of the emerging COVID-19 disease. We find significant enrichment of a NYC-distinctive clade of the virus (20C), as well as host responses in interferon, ACE, hematological, and olfaction pathways. In addition, we use 50,821 patient records to find that renin–angiotensin–aldosterone system inhibitors have a protective effect for severe COVID-19 outcomes, unlike similar drugs. Finally, spatial transcriptomic data from COVID-19 patient autopsy tissues reveal distinct ACE2 expression loci, with macrophage and neutrophil infiltration in the lungs. These findings can inform public health and may help develop and drive SARS-CoV-2 diagnostic, prevention, and treatment strategies.

Background . New York City (NYC) experienced an initial surge and gradual decline in the number of SARS-CoV-2-confirmed cases in 2020. A change in the pattern of laboratory test results in COVID-19 patients over this time has not been reported or correlated with patient outcome. Methods . We performed a retrospective study of routine laboratory and SARS-CoV-2 RT-PCR test results from 5,785 patients evaluated in a NYC hospital emergency department from March to June employing machine learning analysis. Results . A COVID-19 high-risk laboratory test result profile (COVID19-HRP), consisting of 21 routine blood tests, was identified to characterize the SARS-CoV-2 patients. Approximately half of the SARS-CoV-2 positive patients had the distinct COVID19-HRP that separated them from SARS-CoV-2 negative patients. SARS-CoV-2 patients with the COVID19-HRP had higher SARS-CoV-2 viral loads, determined by cycle threshold values from the RT-PCR, and poorer clinical outcome compared to other positive patients without the COVID12-HRP. Furthermore, the percentage of SARS-CoV-2 patients with the COVID19-HRP has significantly decreased from March/April to May/June. Notably, viral load in the SARS-CoV-2 patients declined, and their laboratory profile became less distinguishable from SARS-CoV-2 negative patients in the later phase. Conclusions . Our longitudinal analysis illustrates the temporal change of laboratory test result profile in SARS-CoV-2 patients and the COVID-19 evolvement in a US epicenter. This analysis could become an important tool in COVID-19 population disease severity tracking and prediction. In addition, this analysis may play an important role in prioritizing high-risk patients, assisting in patient triaging and optimizing the usage of resources.

AKI is a recognized complication of coronavirus disease 2019 (COVID-19) (1). In this study, we characterized the AKI incidence and outcomes in patients with COVID-19 and AKI. We conducted a retrospective cohort study of 1002 patients admitted from March 1 to April 19, 2020 through the Emergency

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.

In response to a pandemic, hospital leaders can use clinical informatics to aid clinical decision making, virtualizing medical care, coordinating communication, and defining workflow and compliance. Clinical informatics procedures need to be implemented nimbly, with governance measures in place to properly oversee and guide novel patient care pathways, diagnostic and treatment workflows, and provider education and communication. The authors’ experience recommends (1) creating flexible order sets that adapt to evolving guidelines that meet needs across specialties, (2) enhancing and supporting inherent telemedicine capability, (3) electronically enabling novel workflows quickly and suspending noncritical administrative or billing functions in the electronic health record, and (4) using communication platforms based on tiered urgency that do not compromise security and privacy.

In less than nine months, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) killed over a million people, including >25,000 in New York City (NYC) alone. The COVID-19 pandemic caused by SARS-CoV-2 highlights clinical needs to detect infection, track strain evolution, and identify biomarkers of disease course. To address these challenges, we designed a fast (30-minute) colorimetric test (LAMP) for SARS-CoV-2 infection from naso/oropharyngeal swabs and a large-scale shotgun metatranscriptomics platform (total-RNA-seq) for host, viral, and microbial profiling. We applied these methods to clinical specimens gathered from 669 patients in New York City during the first two months of the outbreak, yielding a broad molecular portrait of the emerging COVID-19 disease. We find significant enrichment of a NYC-distinctive clade of the virus (20C), as well as host responses in interferon, ACE, hematological, and olfaction pathways. In addition, we use 50,821 patient records to find that renin–angiotensin–aldosterone system inhibitors have a protective effect for severe COVID-19 outcomes, unlike similar drugs. Finally, spatial transcriptomic data from COVID-19 patient autopsy tissues reveal distinct ACE2 expression loci, with macrophage and neutrophil infiltration in the lungs. These findings can inform public health and may help develop and drive SARS-CoV-2 diagnostic, prevention, and treatment strategies., Here, using clinical samples and autopsy tissues, the authors combine fast-colorimetric test (LAMP) for SARS-CoV-2 infection and large-scale shotgun metatranscriptomics for host, viral, and microbial profiling and provide a map of the viral genetic features of the New York City outbreak and associate specific host responses and gene expression perturbations with SARS-CoV-2 infection.

Objectives There is limited evidence on how clinical outcomes differ by socioeconomic conditions among patients with coronavirus disease 2019 (COVID-19). Most studies focused on COVID-19 patients from a single hospital. Results based on patients from multiple health systems have not been reported. The objective of this study is to examine variation in patient characteristics, outcomes, and healthcare utilization by neighborhood social conditions among COVID-19 patients. Methods We extracted electronic health record data for 23,300 community dwelling COVID-19 patients in New York City between March 1st and June 11th, 2020 from all care settings, including hospitalized patients, patients who presented to the emergency department without hospitalization, and patients with ambulatory visits only. Zip Code Tabulation Area—level social conditions were measured by the Social Deprivation Index (SDI). Using logistic regressions and Cox proportional-hazards models, we examined the association between SDI quintiles and hospitalization and death, controlling for race, ethnicity, and other patient characteristics. Results Among 23,300 community dwelling COVID-19 patients, 60.7% were from neighborhoods with disadvantaged social conditions (top SDI quintile), although these neighborhoods only account for 34% of overall population. Compared to socially advantaged patients (bottom SDI quintile), socially disadvantaged patients (top SDI quintile) were older (median age 55 vs. 53, P Conclusion Substantial socioeconomic disparities in health outcomes exist among COVID-19 patients in NYC. Disadvantaged neighborhood social conditions were associated with higher risk for hospitalization, severity of disease, and death.

Graphical abstract, 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.

Background In 2012, the American Board of Internal Medicine (ABIM) Foundation launched a campaign called Choosing Wisely which was intended to start a national dialogue on services that are not medically necessary. More research is needed on the in-depth reasons why doctors overuse low-value services, their views on Choosing Wisely specifically, and ways to help them change their practice patterns. Methods We performed a qualitative study of focus groups with physicians to explore their views on the problem of overuse of low-value services, the reasons why they overuse, and ways that they think could be effective at curbing overuse. Participants were attendings in the fields of emergency medicine, internal medicine, hospital medicine, and cardiology. Results All physicians felt that overuse of low-value services was a significant problem. Physicians frequently cited that patient expectations drove the use of low-value services and lack of time was the most cited reason why behavior change was difficult. Facilitators that could promote behavior change included decision support through the electronic medical record, motivation to maintain their reputation among their colleagues, internal motivation to be a good doctor, objective data showing their rates of overuse, alignment of institutional goals, and forums to discuss evidence and new research. Conclusions and implications In focus groups with physicians, we found that physicians perceived that overuse of low-value services was a problem. Participants cited many barriers to behavior change. Methods that help address patient expectations, physician time, and social norms may help physicians reduce their use of low-value services.

Background: Receiving non-emergent care in the Emergency Department (ED) setting may disrupt continuity of care, may lead to less effective preventive care, and often contributes to overcrowding. Community Health Worker (CHW)-driven patient navigator programs that connect patients to primary care are a promising approach to enhance quality of care for patients and to reduce preventable ED utilization. Methods: Between July 2010 and June 2011, CHWs delivered services to 5,154 predominantly Spanishspeaking patients within 3 large, urban EDs. An evaluation was conducted to determine whether patient navigation services were associated with decreased ED visits or increased primary care visits. Clinical and administrative data were used to compare the mean number of visits 12 months before and 12 months after navigation. Results: Eighty-six percent of patients who presented without a primary care provider had a primary care appointment scheduled upon discharge. Among patients with 6-11 ED visits prior to navigation (n=119), the mean number of visits dropped from 7.27 to 3.93 (paired t-test p