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.
The postoperative delirium in older adults guideline project was initiated by selecting an interdisciplinary, multi-specialty 23 member panel. The panel was chosen by the American Geriatrics Society's Geriatrics-for-Specialists Initiative (AGS-GSI) council with additional input from the panel co-chairs, with the goal of selecting participants with special interest and expertise in postoperative delirium. Represented disciplines included the fields of geriatric medicine, general surgery, anesthesiology, emergency medicine, geriatric surgery, gynecology, hospital medicine, critical care medicine, neurology, neurosurgery, nursing, obstetrics and gynecology, orthopedic surgery, ophthalmology, otolaryngology, palliative care, pharmacy, psychiatry, physical medicine and rehabilitation, thoracic surgery, urology, and vascular surgery.Additional ex officio panel members included a representative from the National Committee for Quality Assurance (NCQA), a quality measures expert, and a caregiver representative. The following panel members served on the writing group for this best practices statement: Stacie Deiner, MD;Conflicts of interest were disclosed initially and updated three times during guideline development. Disclosures were reviewed by the entire panel and potential conflicts resolved by the co-chairs (see Appendix 1). LITERATURE REVIEWThe methods for postoperative delirium risk factors, screening (case finding), and diagnosis (Table 1, Topics I to III) were distinct from the other aims, because these topics were thoroughly addressed in recent high-quality guideline statements and systematic reviews upon which the recommendation statements in these sections were based. 4,20-22 Additionally, these topics were considered outside the scope of the main literature search, which focused on prevention and treatment of delirium in the perioperative setting. Key citations were included in the section summaries. Sections were drafted by panel groups and then refined with the committee co-chairs. Subsequently, full consensus of the panel was achieved for all recommendation statements and summary sections.The methods for the literature search for the aims addressing the pharmacologic and nonpharmacologic interventions for the prevention or treatment of postoperative delirium in older adults (Table 1, Topics IV to X) included comprehensive searches, targeted searches, and focused searches. A more detailed description of the search methods is found in the accompanying clinical guideline document. 19 Comprehensive searches (1988( to December 2013 in PubMed, Embase, and CINAHL used the search terms delirium, organic brain syndrome, and acute confusion and resulted in a total of 6,504 articles. Additional, alternative terms included for the prevention and treatment of delirium were the words prevention, management, treatment, intervention, therapy, therapeutic, and drug therapy. Two additional targeted searches using the U.S. Library of National Medicine PubMed Special Queries on Comparative EffectivenessResearch and PubMed Cli...
Background/Objectives Delirium is common and under-diagnosed in elderly Emergency Department (ED) patients. The primary aim of this study is to create a risk prediction rule for ED delirium. The secondary aim is to compare the mortality rates and resource utilization of delirious versus non-delirious elderly ED patients. Design Prospective observational study. Setting An urban tertiary care emergency department. Participants 700 patients 65 years of age or older and presenting for ED care. Measurements A trained research assistant performed a structured mental status assessment and attention tests, after which delirium was determined using the Confusion Assessment Method. We collected data on patient demographics, comorbidities, medications and ED course, hospital and Intensive Care Unit (ICU) admission, length of stay, hospital charges, and 30-day re-hospitalization and mortality. Results Nine percent of elderly study participants were delirious. Using logistic regression, we created a delirium prediction rule consisting of older age, prior stroke or transient ischemic attack, dementia, suspected infection and acute intracranial hemorrhage with good predictive accuracy (AUC=0.77). Among admitted patients, those with ED delirium had longer median lengths of stay (4 versus 2 days), and were more likely to require ICU admission (13% versus 6%) and to be discharged to a new long-term care facility (37% versus 9%). Among all patients, ED delirium was associated with higher 30-day mortality (6% vs. 1%) and 30-day readmissions (27% vs. 13%). Conclusion Our risk prediction rule may help identify a group of high risk ED patients that should undergo screening for delirium, but requires external validation. Identification of delirium in the ED may enable physicians to implement strategies to decrease delirium duration and avoid inappropriate discharge of acutely delirious patients, thereby improving patient outcomes.
The abstracted set of recommendations presented here provides essential guidance both on the prevention of postoperative delirium in older patients at risk of delirium and on the treatment of older surgical patients with delirium, and is based on the 2014 American Geriatrics Society (AGS) Guideline. The full version of the guideline, American Geriatrics Society Clinical Practice Guideline for Postoperative Delirium in Older Adults is available at the website of the AGS. The overall aims of the study were twofold: first, to present nonpharmacologic and pharmacologic interventions that should be implemented perioperatively for the prevention of postoperative delirium in older adults; and second, to present nonpharmacologic and pharmacologic interventions that should be implemented perioperatively for the treatment of postoperative delirium in older adults. Prevention recommendations focused on primary prevention (i.e., preventing delirium before it occurs) in patients who are at risk for postoperative delirium (e.g., those identified as moderate-to-high risk based on previous risk stratification models such as the National Institute for Health and Care Excellence (NICE) guidelines, Delirium: Diagnosis, Prevention and Management. Clinical Guideline 103; London (UK): 2010 July 29). For management of delirium, the goals of this guideline are to decrease delirium severity and duration, ensure patient safety and improve outcomes.
Objectives: An important challenge faced by emergency physicians (EPs) is determining which patients should be admitted to an intensive care unit (ICU) and which can be safely admitted to a regular ward. Understanding risk factors leading to undertriage would be useful, but these factors are not well characterized. Methods:The authors performed a secondary analysis of two prospective, observational studies of patients admitted to the hospital with clinically suspected infection from an urban university emergency department (ED). Inclusion criteria were as follows: adult ED patient (age 18 years or older), ward admission, and suspected infection. The primary outcome was transfer to an ICU within 48 hours of admission. Using multiple logistic regression, independent predictors of early ICU transfer were identified, and the area under the curve for the model was calculated.Results: Of 5,365 subjects, 93 (1.7%) were transferred to an ICU within 48 hours. Independent predictors of ICU transfer included respiratory compromise (odds ratio [OR] = 2.5, 95% confidence interval [CI] = 1.4 to 4.3), congestive heart failure (CHF; OR = 2.2, 95% CI = 1.4 to 3.6), peripheral vascular disease (OR = 2.0, 95% CI = 1.1 to 3.7), systolic blood pressure (sBP) < 100 mm Hg (OR = 1.9, 95% CI = 1.2 to 2.9), heart rate > 90 beats ⁄ min (OR = 1.8, 95% CI = 1.1 to 2.8), and creatinine > 2.0 (OR = 1.8, 95% CI = 1.1 to 2.8). Cellulitis was associated with a lower likelihood of ICU transfer (OR = 0.33, 95% CI = 0.15 to 0.72). The area under the curve for the model was 0.73, showing moderate discriminatory ability. Conclusions:In this preliminary study, independent predictors of ICU transfer within 48 hours of admission were identified. While somewhat intuitive, physicians should consider these factors when determining patient disposition.
Objective. To ascertain the long-term natural history of fibromyalgia syndrome (FMS).Methods. Patients with a history of FMS, seen in an academic rheumatology referral practice, were originally surveyed soon after onset of symptoms, and then were reinterviewed 10 years later in a prospective followup cohort study. A validated telephone survey was administered that inquired into current symptoms, medical care and treatments used, and work disability. The results were compared with the prior surveys.Results. Of the original 39 patients, there were 4 deaths. Of the remaining 35 patients, 29 (83%) were reinterviewed. Mean age at current survey was 55 years, and mean duration of symptoms was 15.8 years. All patients had persistence of some fibromyalgia symptoms, although almost half (48%) had not seen a doctor for them in the last year. Moderate to severe pain or stiffness was reported in 55% of patients; moderate to a lot of sleep difficulty was noted in 48%; and moderate to extreme fatigue was noted in 59%. These symptoms showed little change from earlier surveys. In 79% of patients, medications were still being taken to control FMS symptoms. Despite continuing symptoms, 66% of patients reported that FMS symptoms were a little or a lot better than when first diagnosed. Fifty-five percent of patients said they felt well or very well in terms of FMS symptoms, and only 7% felt they were doing poorly. With the exception of sleep trouble, which was persistent, baseline survey symptoms correlated poorly with symptoms at the 10-year followup.-~ __
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