Faculty Bibliography

BACKGROUND AND OBJECTIVES/OBJECTIVE:As the COVID-19 pandemic brought surges of hospitalized patients, it was important to focus on reducing overuse of tests and procedures to not only reduce potential harm to patients but also reduce unnecessary exposure to staff. The objective of this study was to create a Choosing Wisely in COVID-19 list to guide clinicians in practicing high-value care at our health system. METHODS:A Choosing Wisely in COVID-19 list was developed in October 2020 by an interdisciplinary High Value Care Council at New York City Health + Hospitals, the largest public health system in the United States. The first phase involved gathering areas of overuse from interdisciplinary staff across the system. The second phase used a modified Delphi scoring process asking participants to rate recommendations on a 5-point Likert scale based on criteria of degree of evidence, potential to prevent patient harm, and potential to prevent staff harm. RESULTS:The top 5 recommendations included avoiding tracheal intubation without trial of noninvasive ventilation (4.4); not placing routine central venous catheters (4.33); avoiding routine daily laboratory tests and batching laboratory draws (4.19); not ordering daily chest radiographs (4.17); and not using bronchodilators in the absence of reactive airway disease (4.13). CONCLUSION/CONCLUSIONS:We successfully developed Choosing Wisely in COVID-19 recommendations that focus on evidence and preventing patient and staff harm in a large safety net system to reduce overuse.

BACKGROUND:Coronavirus disease 2019 (COVID-19) is associated with excess risk of cardiovascular and thrombotic events in the early post-infection period and during convalescence. Despite the progress in our understanding of cardiovascular complications, uncertainty persists with respect to more recent event rates, temporal trends, association between vaccination status and outcomes, and findings within vulnerable subgroups such as older adults (aged 65 years or older), or those undergoing hemodialysis. Sex-informed findings, including results among pregnant and breastfeeding women, as well as adjusted comparisons between male and female adults are similarly understudied. METHODS:Adult patients, aged ≥18 years, with polymerase chain reaction-confirmed COVID-19 who received inpatient or outpatient care at the participating centers of the registry are eligible for inclusion. A total of 10,000 patients have been included in this multicenter study, with Brigham and Women's Hospital (Boston, MA) serving as the coordinating center. Other sites include Beth Israel Deaconess Medical Center, Anne Arundel Medical Center, University of Virginia Medical Center, University of Colorado Health System, and Thomas Jefferson University Health System. Data elements will be ascertained manually for accuracy. The two main outcomes are 1) a composite of venous or arterial thrombotic events, and 2) a composite of major cardiovascular events, defined as venous or arterial thrombosis, myocarditis or heart failure with inpatient treatment, new atrial fibrillation/flutter, or cardiovascular death. Clinical outcomes are adjudicated by independent physicians. Vaccination status and time of inclusion in the study will be ascertained for subgroup-specific analyses. Outcomes are pre-specified to be reported separately for hospitalized patients versus those who were initially receiving outpatient care. Outcomes will be reported at 30-day and 90-day follow-up. Data cleaning at the sites and the data coordinating center and outcomes adjudication process are in-progress. CONCLUSIONS:The CORONA-VTE-Network study will share contemporary information related to rates of cardiovascular and thrombotic events in patients with COVID-19 overall, as well as within key subgroups, including by time of inclusion, vaccination status, patients undergoing hemodialysis, the elderly, and sex-informed analyses such as comparison of women and men, or among pregnant and breastfeeding women.

BACKGROUND:Heart transplantation provides a significant improvement in survival and quality of life for patients with end-stage heart disease, however many recipients experience different levels of graft rejection that can be associated with significant morbidities and mortality. Current clinical standard-of-care for the evaluation of heart transplant acute rejection (AR) consists of routine endomyocardial biopsy (EMB) followed by visual assessment by histopathology for immune infiltration and cardiomyocyte damage. We assessed whether the sensitivity and/or specificity of this process could be improved upon by adding RNA sequencing (RNA-seq) of EMBs coupled with histopathological interpretation. METHODS:Up to 6 standard-of-care, or for-cause EMBs, were collected from 26 heart transplant recipients from the prospective observational Clinical Trials of Transplantation (CTOT)-03 study, during the first 12-months post-transplant and subjected to RNA-seq (n = 125 EMBs total). Differential expression and random-forest-based machine learning were applied to develop signatures for classification and prognostication. RESULTS:Leveraging the unique longitudinal nature of this study, we show that transcriptional hallmarks for significant rejection events occur months before the actual event and are not visible using traditional histopathology. Using this information, we identified a prognostic signature for 0R/1R biopsies that with 90% accuracy can predict whether the next biopsy will be 2R/3R. CONCLUSIONS:RNA-seq-based molecular characterization of EMBs shows significant promise for the early detection of cardiac allograft rejection.

Objective/UNASSIGNED:To determine if oxygen saturation (out-of-hospital SpO2), measured by New York City (NYC) 9-1-1 Emergency Medical Services (EMS), was an independent predictor of coronavirus disease 2019 (COVID-19) in-hospital mortality and length of stay, after controlling for the competing risk of death. If so, out-of-hospital SpO2 could be useful for initial triage. Methods/UNASSIGNED:A population-based longitudinal study of adult patients transported by EMS to emergency departments (ED) between March 5 and April 30, 2020 (the NYC COVID-19 peak period). Inclusion required EMS prehospital SpO2 measurement while breathing room air, transport to emergency department, and a positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reverse transcription polymerase chain reaction test. Multivariable logistic regression modeled mortality as a function of prehospital SpO2, controlling for covariates (age, sex, race/ethnicity, and comorbidities). A competing risk model also was performed to estimate the absolute risks of out-of-hospital SpO2 on the cumulative incidence of being discharged from the hospital alive. Results/UNASSIGNED:In 1673 patients, out-of-hospital SpO2 and age were independent predictors of in-hospital mortality and length of stay, after controlling for the competing risk of death. Among patients ≥66 years old, the probability of death was 26% with an out-of-hospital SpO2 >90% versus 54% with an out-of-hospital SpO2 ≤90%. Among patients <66 years old, the probability of death was 11.5% with an out-of-hospital SpO2 >90% versus 31% with an out-of-hospital SpO2 ≤ 90%. An out-of-hospital SpO2 level ≤90% was associated with over 50% decreased likelihood of being discharged alive, regardless of age. Conclusions/UNASSIGNED:Out-of-hospital SpO2 and age predicted in-hospital mortality and length of stay: An out-of-hospital SpO2 ≤90% strongly supports a triage decision for immediate hospital admission. For out-of-hospital SpO2 >90%, the decision to admit depends on multiple factors, including age, resource availability (outpatient vs inpatient), and the potential impact of new treatments.

IMPORTANCE/OBJECTIVE:Electronic health record (EHR) clinical decision support (CDS) tools can provide evidence-based feedback at the point of care to reduce low-value imaging. Success of these tools has been limited partly due to lack of engagement by busy clinicians. OBJECTIVE:Measure the impact of a time-saving quality improvement intervention to increase engagement with a CDS tool for low back pain imaging ordering. DESIGN, SETTING AND PARTICIPANTS/METHODS:We conducted a quasi-experimental difference-in-differences analysis at (BLINDED), examining back pain imaging orders from 29 May 2015 to 07 January 2016. The intervention site was (BLINDED) Emergency Medicine/Urgent Care Center (n=5736) and control sites included all other (BLINDED) hospitals and clinics (n=1621). In May 2015, the Department of Health Services installed a CDS tool that triggered a survey when clinicians ordered an imaging test, generating an 'appropriateness score' based on the American College of Radiology guidelines. Clinicians often bypassed the tool, resulting in 'unscored' tests. INTERVENTION/METHODS:To increase clinician engagement with the tool and decrease the rate of unscored imaging tests, a new policy was implemented at the intervention site on 15 August 2015. If clinicians completed the CDS survey and scored an appropriateness score >3, they could forego a previously mandatory telephone call for pre-imaging utilisation review with the radiology department. MAIN OUTCOMES AND MEASURES/UNASSIGNED:We used EHR data to measure pre-post-intervention differences in: (1) percentage of unscored tests and (2) percentage of tests with high appropriateness scores (>7). RESULTS:Percentage of unscored tests decreased from 69.4% to 10.4% at the intervention site and from 50.6% to 34.8% at the control sites (between-group difference: -23.3%, p<0.001). Percentage of high scoring tests increased from 26.5% to 75.0% at the intervention site and from 17.2% to 22.7% at the control sites (between-group difference: 19%, p<0.001). CONCLUSION/CONCLUSIONS:Workflow time-saving interventions may increase physician engagement with CDS tools and have potential to improve practice patterns.

The COVID-19 surge in New York City created an increased demand for palliative care (PC) services. In staff-limited settings such as safety net systems, and amid growing reports of healthcare worker illness, leveraging help from less-affected areas around the country may provide an untapped source of support. A national social media outreach effort recruited 413 telepalliative medicine volunteers (TPMV). After expedited credentialing and onboarding of 67 TPMV, a 2-week pilot was initiated in partnership with five public health hospitals without any previous existing telehealth structure. The volunteers completed 109 PC consults in the pilot period. Survey feedback from TPMV and on-site PC providers was largely positive, with areas of improvement identified around electronic health record navigation and continuity of care. This was a successful, proof of concept, quality improvement initiative leveraging TPMV from across the nation for a PC pandemic response in a safety net system.