Faculty Bibliography

SARS-CoV-2 is the virus that causes coronavirus disease (COVID-19) which has reached pandemic levels resulting in significant morbidity and mortality affecting every inhabited continent. The large number of patients requiring intensive care threatens to overwhelm healthcare systems globally. Likewise, there is a compelling need for a COVID-19 disease severity test to prioritize care and resources for patients at elevated risk of mortality. Here, an integrated point-of-care COVID-19 Severity Score and clinical decision support system is presented using biomarker measurements of C-reactive protein (CRP), N-terminus pro B type natriuretic peptide (NT-proBNP), myoglobin (MYO), D-dimer, procalcitonin (PCT), creatine kinase-myocardial band (CK-MB), and cardiac troponin I (cTnI). The COVID-19 Severity Score combines multiplex biomarker measurements and risk factors in a statistical learning algorithm to predict mortality. The COVID-19 Severity Score was trained and evaluated using data from 160 hospitalized COVID-19 patients from Wuhan, China. Our analysis finds that COVID-19 Severity Scores were significantly higher for the group that died versus the group that was discharged with median (interquartile range) scores of 59 (40-83) and 9 (6-17), respectively, and area under the curve of 0.94 (95% CI 0.89-0.99). These promising initial models pave the way for a point-of-care COVID-19 Severity Score system to impact patient care after further validation with externally collected clinical data. Clinical decision support tools for COVID-19 have strong potential to empower healthcare providers to save lives by prioritizing critical care in patients at high risk for adverse outcomes.

OBJECTIVES/UNASSIGNED:The objective of this study is to identify contextual access factors to home and community health services for end-of-life support for older adults with serious life-limiting illness, as well as determine if access to home and community services is associated with health-care utilization. DESIGN/UNASSIGNED:This study includes an environmental scan, grey literature review, qualitative interviews, and health-care utilization analysis. This study is a subproject of the Grudzen et al. Primary Palliative Care for Emergency Medicine (PRIM-ER) study. SETTINGS/LOCATION/UNASSIGNED:Analysis will include data collection from 17 health systems implementing the PRIM-ER intervention. PARTICIPANTS/UNASSIGNED:For the qualitative interviews, one emergency medicine (EM) physician and one EM nurse will be interviewed from each of the 17 participating health systems. For the health-care utilization analysis, we will use the Senior Care Services Scale (SCSS), American Hospital Association Annual Survey of Hospitals (AHA-ASH), and Medicare claims for all emergency department (ED) visits for serious illness who present at each participating health system. OUTCOME MEASURES/UNASSIGNED:The contextual analysis will obtain data on home and community services, such as hospice, home health services, assisted living, integrative medicine services, etc., available around each health system's highest volume ED, federal and state regulations influencing access to services, as well as EM provider perspectives on access to services. The health-care utilization analysis will determine if SCSS scores, which measure service availability, are associated with health-care usage. High or low SCSS scores are determined by comparing health system service availability on the AHA-ASH to the national median SCSS value.

INTRODUCTION/BACKGROUND:Persons living with Alzheimer's disease and related dementias (ADRD) frequently experience pain and behavioral and psychological symptoms of dementia (BPSD) which decrease quality of life (QOL) and influence caregiver burden. Home healthcare professionals however may underrecognize or lack the ability to manage BPSD. INTERVENTION/METHODS:This protocol describes an ADRD palliative quality assurance performance improvement program for home healthcare, Aliviado Dementia Care-Home Health Edition. It includes training, mentoring, and a toolbox containing intervention strategies. METHODS:This embedded pragmatic clinical trial will utilize a multi-site, cluster randomized control design. Recruitment will occur from three home healthcare agencies located in New Jersey, Utah, and Florida. At each agency, care teams will be randomized as clusters and assigned to either the Aliviado Dementia Care program or usual care. We plan to enroll 345 persons living with ADRD and their informal caregiver dyads. The primary outcome will be to measure QOL in both the person living with ADRD and their informal caregiver, and emergency department visits and hospital admissions. Secondary outcomes in the person living with ADRD will include the examination of pain, BPSD, antipsychotic and analgesic use. Secondary outcomes in caregivers include burden, depressive symptoms, functional health and wellbeing, and healthcare utilization. CONCLUSION/CONCLUSIONS:This study will be the first large-scale embedded pragmatic clinical trial in home healthcare focused on care quality and outcomes in addressing QOL in ADRD. If proven successful, the intervention can then be disseminated to agencies throughout the country to improve the quality of care for this vulnerable, underserved population. TRIAL REGISTRATION/BACKGROUND:Clinical Trials.gov: NCT03255967.

BACKGROUND:Social media coverage is increasingly used to spread the message of scientific publications. Traditionally, the scientific impact of an article is measured by the number of citations. At a journal level, this conventionally matures over a 2-year period, and it is challenging to gauge impact around the time of publication. OBJECTIVE:We, therefore, aimed to assess whether Web-based attention is associated with citations and to develop a predictive model that assigns relative importance to different elements of social media coverage: the #SoME_Impact score. METHODS:We included all original articles published in 2015 in a selection of the highest impact journals: The New England Journal of Medicine, The Lancet, the Journal of the American Medical Association, Nature, Cell, and Science. We first characterized the change in Altmetric score over time by taking a single month's sample of recently published articles from the same journals and gathered Altmetric data daily from the time of publication to create a mixed effects spline model. We then obtained the overall weighted Altmetric score for all articles from 2015, the unweighted data for each Altmetric component, and the 2-year citation count from Scopus for each of these articles from 2016 to 2017. We created a stepwise multivariable linear regression model to develop a #SoME_Score that was predictive of 2-year citations. The score was validated using a dataset of articles from the same journals published in 2016. RESULTS:0.19 vs 0.09; P<.001). Articles in the upper quantile of #SoME_Score were more than 5 times more likely to be among the upper quantile of those cites (odds ratio 5.61, 95% CI 4.70-6.73). CONCLUSIONS:Social media attention predicts citations and could be used as an early surrogate measure of scientific impact. Owing to the cross-sectional study design, we cannot determine whether correlation relates to causation.

BACKGROUND:Leadership and management training has become increasingly important in the education of health care professionals. Previous research has shown the benefits that a network provides to its members, such as access to resources and information, but ideas for creating these networks vary. This study used social network analysis to explore the interactions among Central American Healthcare Initiative (CAHI) Fellowship alumni and learn more about information sharing, mentoring, and project development activities among alumni. The CAHI Fellowship provides leadership and management training for multidisciplinary healthcare professionals to reduce health inequities in the region. Access to a network was previously reported as one of the top benefits of the program. RESULTS:Information shared from the work of 100 CAHI fellows from six countries, especially within the same country, was analyzed. Mentoring relationships clustered around professions and project types, and networks of joint projects clustered by country. Mentorship, which CAHI management promoted, and joint project networks, in which members voluntarily engaged, had similar inclusiveness ratios. CONCLUSION/CONCLUSIONS:Social networks are strategic tools for health care leadership development programs to increase their impact by promoting interactions among participants. These programs can amplify intergenerational and intercountry ties by organizing events, provide opportunities for alumni to meet, assign mentors, and support collaborative action groups. Collaborative networks have great value to potentiate health professionals' leadership and management capabilities in a resource-constrained setting, such as the Global South.

Overdose of stimulant drugs has been associated with increased risk of adverse cardiovascular events (ACVE), some of which may be ascribed to endothelial dysfunction. The aims of this study were to evaluate biomarkers of endothelial dysfunction in emergency department (ED) patients with acute cocaine overdose and to assess the association between in-hospital ACVE in ED patients with any acute drug overdose. This was a prospective consecutive cohort study over 9 months (2015-2016) at two urban, tertiary-care hospital EDs. Consecutive adults (≥18 years) presenting with suspected acute drug overdose were eligible and separated into three groups: cocaine (n = 47), other drugs (n = 128), and controls (n = 11). Data were obtained from medical records and linked to waste serum specimens, sent as part of routine clinical care, for biomarker analysis. Serum specimens were collected and analyzed using enzyme-linked immunosorbent assay kit for three biomarkers of endothelial dysfunction: (a) endothelin-1 (ET-1), (b) regulated upon activation normal T cell expressed and secreted (RANTES), and (c) soluble intercellular adhesion molecule-1 (siCAM-1). Mean siCAM was elevated for cocaine compared with controls and other drugs (p < .01); however, mean RANTES and ET-1 levels were not significantly different for any drug exposure groups. Receiver operating characteristics curve analysis for prediction of in-hospital ACVE revealed excellent performance of siCAM-1 (area under curve, 0.86; p < .001) but lack of predictive utility for either RANTES or ET-1. These results suggest that serum siCAM-1 is a viable biomarker for acute cocaine overdose and that endothelial dysfunction may be an important surrogate for adverse cardiovascular events following any drug overdose.

BACKGROUND:Aspects of infant antibiotic exposure and its association with asthma development have been variably explored. We aimed to evaluate comprehensively and simultaneously the impact of dose, timing, and type of infant antibiotic use on the risk of childhood asthma. METHODS:Singleton, term-birth, non-low-birth-weight, and otherwise healthy children enrolled in the Tennessee Medicaid Program were included. Infant antibiotic use and childhood asthma diagnosis were ascertained from prescription fills and healthcare encounter claims. We examined the association using multivariable logistic regression models. RESULTS:Among 152 622 children, 79% had at least 1 antibiotic prescription fill during infancy. Infant antibiotic use was associated with increased odds of childhood asthma in a dose-dependent manner, with a 20% increase in odds (adjusted odds ratio [aOR], 1.20 [95% confidence interval {CI}, 1.19-1.20]) for each additional antibiotic prescription filled. This significant dose-dependent relationship persisted after additionally controlling for timing and type of the antibiotics. Infants who had broad-spectrum-only antibiotic fills had increased odds of developing asthma compared with infants who had narrow-spectrum-only fills (aOR, 1.10 [95% CI, 1.05-1.19]). There was no significant association between timing, formulation, anaerobic coverage, and class of antibiotics and childhood asthma. CONCLUSIONS:We found a consistent dose-dependent association between antibiotic prescription fills during infancy and subsequent development of childhood asthma. Our study adds important insights into specific aspects of infant antibiotic exposure. Clinical decision making regarding antibiotic stewardship and prevention of adverse effects should be critically assessed prior to use during infancy.