Geriatric Depression Screening and Chief Complaint: What is the Risk for 30- and 90-day Readmission?

Abstract Background: Readmission to the hospital within 30-days has a high cost and represents a gap in care for older adults. Older adults are at significant risk for depression, particularly given their medical comorbidities and social factors such as isolation due to SARS-CoV-2. Many patients who screen positive for depression may have no known history of depression. This investigation examines the relationship between a positive geriatric depression screen and chief complaint as a function of 30- and 90-day readmission risk. Methods: We examined the electronic medical record of 329 older adults aged 65 and older from February 1, 2020, to January 31, 2021, with a positive depression screen during an emergency department visit at a Midwest Geriatric Emergency Department. Their admission and final ICD-10 diagnosis coding groups (used as a surrogate to standardize chief complaint), social factors such as marital status, living environment, Orientation-Memory-Concentration Test score, and level of independence, were analyzed and considered as potential contributory factors. Results: In total, this group of patients was found to have readmission rates reaching 42.6% within 30-days, 61.7% within 90 days, and 22.2% with readmission within both 30- and 90-days. Two diagnosis groups were associated with an increased risk for readmission: (1) endocrine, nutritional, and metabolic diseases had a 1.72-fold increase in odds of 90-day readmission (OR: 1.72, p=0.03), and (2) circulatory system diseases had 2.45-fold increased odds for both 30- and 90-day readmission (OR: 2.45, p=0.02). Two diagnosis groups were associated with a decreased risk for readmission: (1) mental, behavioral, or neurocognitive disorders had a 57.0% lower odds of 30-day readmission (OR: 0.43, p=0.01), and 51.1% for 90-day readmission (OR: 0.49, p=0.02) and (2) factors influencing health status or contact with health services had an 88.2% lower odds of 90-day readmission (OR: 0.12, p=0.02). Conclusions: Our results suggest an interplay between a positive depression finding and specific concurrent diagnosis groups increased the risk for 30- and 90-day readmission. These findings support further investigation into the importance of depression identification followed by actions to address social determinants of health that could lower the odds of readmission, specifically with endocrine, nutritional, and metabolic diseases. Emergency providers can better meet the needs of this population by assessing for depression followed by referral protocols

First Report of Survival in Refractory Ventricular Fibrillation After Dual-Axis Defibrillation and Esmolol Administration

Ventricular fibrillation (VF) is a potentially fatal dysrhythmia associated with acute myocardial infarction. The longer a patient waits for definitive care, the greater their chance of mortality.  There is a subset of patients, however, who suffered a VF arrest, received appropriate care, and despite standard medications (epinephrine and amiodarone) and multiple defibrillations (3+ attempts at 200 J of biphasic current), remained in refractory VF (RVF), also known as electrical storm.  The mortality for these patients is as high as 97%. We present the case of a patient who, because of a novel approach, survived RVF to discharge and outpatient follow-up

THE STATE OF THE WORLD’S CHILDREN 2009 Maternal and Newborn Health

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Delirium in Older Patients With COVID-19 Presenting to the Emergency Department.

Importance: Delirium is common among older emergency department (ED) patients, is associated with high morbidity and mortality, and frequently goes unrecognized. Anecdotal evidence has described atypical presentations of coronavirus disease 2019 (COVID-19) in older adults; however, the frequency of and outcomes associated with delirium in older ED patients with COVID-19 infection have not been well described. Objective: To determine how frequently older adults with COVID-19 present to the ED with delirium and their associated hospital outcomes. Design, Setting, and Participants: This multicenter cohort study was conducted at 7 sites in the US. Participants included consecutive older adults with COVID-19 presenting to the ED on or after March 13, 2020. Exposure: COVID-19 was diagnosed by positive nasal swab for severe acute respiratory syndrome coronavirus 2 (99% of cases) or classic radiological findings (1% of cases). Main Outcomes and Measures: The primary outcome was delirium as identified from the medical record according to a validated record review approach. Results: A total of 817 older patients with COVID-19 were included, of whom 386 (47%) were male, 493 (62%) were White, 215 (27%) were Black, and 54 (7%) were Hispanic or Latinx. The mean (SD) age of patients was 77.7 (8.2) years. Of included patients, 226 (28%) had delirium at presentation, and delirium was the sixth most common of all presenting symptoms and signs. Among the patients with delirium, 37 (16%) had delirium as a primary symptom and 84 (37%) had no typical COVID-19 symptoms or signs, such as fever or shortness of breath. Factors associated with delirium were age older than 75 years (adjusted relative risk [aRR], 1.51; 95% CI, 1.17-1.95), living in a nursing home or assisted living (aRR, 1.23; 95% CI, 0.98-1.55), prior use of psychoactive medication (aRR, 1.42; 95% CI, 1.11-1.81), vision impairment (aRR, 1.98; 95% CI, 1.54-2.54), hearing impairment (aRR, 1.10; 95% CI 0.78-1.55), stroke (aRR, 1.47; 95% CI, 1.15-1.88), and Parkinson disease (aRR, 1.88; 95% CI, 1.30-2.58). Delirium was associated with intensive care unit stay (aRR, 1.67; 95% CI, 1.30-2.15) and death (aRR, 1.24; 95% CI, 1.00-1.55). Conclusions and Relevance: In this cohort study of 817 older adults with COVID-19 presenting to US emergency departments, delirium was common and often was seen without other typical symptoms or signs. In addition, delirium was associated with poor hospital outcomes and death. These findings suggest the clinical importance of including delirium on checklists of presenting signs and symptoms of COVID-19 that guide screening, testing, and evaluation

Emergency Department Care Transitions for Patients With Cognitive Impairment: A Scoping Review

ObjectivesWe aimed to describe emergency department (ED) care transition interventions delivered to older adults with cognitive impairment, identify relevant patient-centered outcomes, and determine priority research areas for future investigation.DesignSystematic scoping review.Setting and participantsED patients with cognitive impairment and/or their care partners.MethodsInformed by the clinical questions, we conducted systematic electronic searches of medical research databases for relevant publications following published guidelines. The results were presented to a stakeholder group representing ED-based and non-ED-based clinicians, individuals living with cognitive impairment, care partners, and advocacy organizations. After discussion, they voted on potential research areas to prioritize for future investigations.ResultsFrom 3848 publications identified, 78 eligible studies underwent full text review, and 10 articles were abstracted. Common ED-to-community care transition interventions for older adults with cognitive impairment included interdisciplinary geriatric assessments, home visits from medical personnel, and telephone follow-ups. Intervention effects were mixed, with improvements observed in 30-day ED revisit rates but most largely ineffective at promoting connections to outpatient care or improving secondary outcomes such as physical function. Outcomes identified as important to adults with cognitive impairment and their care partners included care coordination between providers and inclusion of care partners in care management within the ED setting. The highest priority research area for future investigation identified by stakeholders was identifying strategies to tailor ED-to-community care transitions for adults living with cognitive impairment complicated by other vulnerabilities such as social isolation or economic disadvantage.Conclusions and implicationsThis scoping review identified key gaps in ED-to-community care transition interventions delivered to older adults with cognitive impairment. Combined with a stakeholder assessment and prioritization, it identified relevant patient-centered outcomes and clarifies priority areas for future investigation to improve ED care for individuals with impaired cognition, an area of critical need given the current population trends

A global metagenomic map of urban microbiomes and antimicrobial resistance

We present a global atlas of 4,728 metagenomic samples from mass-transit systems in 60 cities over 3 years, representing the first systematic, worldwide catalog of the urban microbial ecosystem. This atlas provides an annotated, geospatial profile of microbial strains, functional characteristics, antimicrobial resistance (AMR) markers, and genetic elements, including 10,928 viruses, 1,302 bacteria, 2 archaea, and 838,532 CRISPR arrays not found in reference databases. We identified 4,246 known species of urban microorganisms and a consistent set of 31 species found in 97% of samples that were distinct from human commensal organisms. Profiles of AMR genes varied widely in type and density across cities. Cities showed distinct microbial taxonomic signatures that were driven by climate and geographic differences. These results constitute a high-resolution global metagenomic atlas that enables discovery of organisms and genes, highlights potential public health and forensic applications, and provides a culture-independent view of AMR burden in cities.Funding: the Tri-I Program in Computational Biology and Medicine (CBM) funded by NIH grant 1T32GM083937; GitHub; Philip Blood and the Extreme Science and Engineering Discovery Environment (XSEDE), supported by NSF grant number ACI-1548562 and NSF award number ACI-1445606; NASA (NNX14AH50G, NNX17AB26G), the NIH (R01AI151059, R25EB020393, R21AI129851, R35GM138152, U01DA053941); STARR Foundation (I13- 0052); LLS (MCL7001-18, LLS 9238-16, LLS-MCL7001-18); the NSF (1840275); the Bill and Melinda Gates Foundation (OPP1151054); the Alfred P. Sloan Foundation (G-2015-13964); Swiss National Science Foundation grant number 407540_167331; NIH award number UL1TR000457; the US Department of Energy Joint Genome Institute under contract number DE-AC02-05CH11231; the National Energy Research Scientific Computing Center, supported by the Office of Science of the US Department of Energy; Stockholm Health Authority grant SLL 20160933; the Institut Pasteur Korea; an NRF Korea grant (NRF-2014K1A4A7A01074645, 2017M3A9G6068246); the CONICYT Fondecyt Iniciación grants 11140666 and 11160905; Keio University Funds for Individual Research; funds from the Yamagata prefectural government and the city of Tsuruoka; JSPS KAKENHI grant number 20K10436; the bilateral AT-UA collaboration fund (WTZ:UA 02/2019; Ministry of Education and Science of Ukraine, UA:M/84-2019, M/126-2020); Kyiv Academic Univeristy; Ministry of Education and Science of Ukraine project numbers 0118U100290 and 0120U101734; Centro de Excelencia Severo Ochoa 2013–2017; the CERCA Programme / Generalitat de Catalunya; the CRG-Novartis-Africa mobility program 2016; research funds from National Cheng Kung University and the Ministry of Science and Technology; Taiwan (MOST grant number 106-2321-B-006-016); we thank all the volunteers who made sampling NYC possible, Minciencias (project no. 639677758300), CNPq (EDN - 309973/2015-5), the Open Research Fund of Key Laboratory of Advanced Theory and Application in Statistics and Data Science – MOE, ECNU, the Research Grants Council of Hong Kong through project 11215017, National Key RD Project of China (2018YFE0201603), and Shanghai Municipal Science and Technology Major Project (2017SHZDZX01) (L.S.