Variations in the California Emergency Medical Services Response to Opioid Use Disorder

Introduction: Opioids contributed to over 300,000 deaths in the United States in the past 10 years. Most research on drug use occurs in clinics or hospitals; few studies have evaluated the impact of opioid use on emergency medical services (EMS) or the EMS response to opioid use disorder (OUD). This study describes the perceived burden of disease, data collection, and interventions in California local EMS agencies (LEMSA). Methods: We surveyed medical directors of all 33 California LEMSAs with 25 multiple-choice and free-answer questions. Results were collected in RedCap and downloaded into Excel (Microsoft Corporation, Redmond WA). This study was exempt from review by the Alameda Health System - Highland Hospital Institutional Review Board. Results: Of the 33 California LEMSAs, 100% responded, all indicating that OUD significantly affects their patients. Most (91%) had specific protocols directing care of those patients and repeat naloxone dosing. After naloxone administration, none permitted release to law enforcement custody, 6% permitted patient refusal of care, and 45% directed base hospital contact for refusal of care. Few protocols directed screening or treatment of OUD or withdrawal symptoms. Regular data collection occurred in 76% of LEMSAs, with only 48% linking EMS data with hospital or coroner outcomes. In only 30% did the medical director oversee regular quality improvement meetings. Of respondents, 64% were aware of public health agency-based outreach programs and 42% were aware of emergency department BRIDGE programs (Medication Assisted Treatment and immediate referral). Only 9% oversaw naloxone kit distribution (all under the medical director), and 6% had EMS-based outreach programs. In almost all (94%), law enforcement officers carried naloxone and administered it anywhere from a few times a year to greater than 200 in one LEMSA. Conclusion: This study represents an important description of EMS medical directors' approaches to the impact of OUD as well as trends in protocols and interventions to treat and prevent overdoses. Through this study, we can better understand the variable response to patients with OUD across California

Out-of-hospital cardiac arrest volumes and characteristics during the COVID-19 pandemic

This article is made available for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.Aim The COVID-19 pandemic has significantly impacted Emergency Medical Services (EMS) operations throughout the country. Some studies described variation in total volume of out-of-hospital cardiac arrests (OHCA) during the pandemic. We aimed to describe the changes in volume and characteristics of OHCA patients and resuscitations in one urban EMS system. Methods We performed a retrospective cohort analysis of all recorded atraumatic OHCA in Marion County, Indiana, from January 1, 2019 to June 30, 2019 and from January 1, 2020 to June 30, 2020. We described patient, arrest, EMS response, and survival characteristics. We performed paired and unpaired t-tests to evaluate the changes in those characteristics during COVID-19 as compared to the prior year. Data were matched by month to control for seasonal variation. Results The total number of arrests increased from 884 in 2019 to 1034 in 2020 (p = 0.016). Comparing 2019 to 2020, there was little difference in age [median 62 (IQR 59–73) and 60 (IQR 47–72), p = 0.086], gender (38.5% and 39.8% female, p = 0.7466, witness to arrest (44.3% and 39.6%, p = 0.092), bystander AED use (10.1% and 11.4% p = 0.379), bystander CPR (48.7% and 51.4%, p = 0.242). Patients with a shockable initial rhythm (19.2% and 15.4%, p = 0.044) both decreased in 2020, and response time increased by 18 s [6.0 min (IQR 4.5–7.7) and 6.3 min (IQR 4.7–8.0), p = 0.008]. 47.7% and 54.8% (p = 0.001) of OHCA patients died in the field, 19.7% and 19.3% (p = 0.809) died in the Emergency Department, 21.8% and 18.5% (p = 0.044) died in the hospital, 10.8% and 7.4% (p = 0.012) were discharged from the hospital, and 9.3% and 5.9% (p = 0.005) were discharged with Cerebral Performance Category score ≤ 2. Conclusion Total OHCA increased during the COVID-19 pandemic when compared with the prior year. Although patient characteristics were similar, initial shockable rhythm, and proportion of patients who died in the hospital decreased during the pandemic. Further investigation will explore etiologies of those findings

Can we predict which COVID-19 patients will need transfer to intensive care within 24 hours of floor admission?

Background Patients with COVID‐19 can present to the emergency department (ED) at any point during the spectrum of illness, making it difficult to predict what level of care the patient will ultimately require. Admission to a ward bed, which is subsequently upgraded within hours to an intensive care unit (ICU) bed, represents an inability to appropriately predict the patient's course of illness. Predicting which patients will require ICU care within 24 hours would allow admissions to be managed more appropriately. Methods This was a retrospective study of adults admitted to a large health care system, including 14 hospitals across the state of Indiana. Included patients were aged ≥ 18 years, were admitted to the hospital from the ED, and had a positive polymerase chain reaction (PCR) test for COVID‐19. Patients directly admitted to the ICU or in whom the PCR test was obtained > 3 days after hospital admission were excluded. Extracted data points included demographics, comorbidities, ED vital signs, laboratory values, chest imaging results, and level of care on admission. The primary outcome was a combination of either death or transfer to ICU within 24 hours of admission to the hospital. Data analysis was performed by logistic regression modeling to determine a multivariable model of variables that could predict the primary outcome. Results Of the 542 included patients, 46 (10%) required transfer to ICU within 24 hours of admission. The final composite model, adjusted for age and admission location, included history of heart failure and initial oxygen saturation of 6.4 or glomerular filtration rate < 46. The odds ratio (OR) for decompensation within 24 hours was 5.17 (95% confidence interval [CI] = 2.17 to 12.31) when all criteria were present. For patients without the above criteria, the OR for ICU transfer was 0.20 (95% CI = 0.09 to 0.45). Conclusions Although our model did not perform well enough to stand alone as a decision guide, it highlights certain clinical features that are associated with increased risk of decompensation

Characteristics of COVID-19 Patients with Bacterial Co-infection Admitted to the Hospital from the Emergency Department in a Large Regional Healthcare System

Introduction The rate of bacterial coinfection with SARS‐CoV‐2 is poorly defined. The decision to administer antibiotics early in the course of SARS‐CoV‐2 infection depends on the likelihood of bacterial coinfection. Methods We performed a retrospective chart review of all patients admitted through the emergency department with confirmed SARS‐CoV‐2 infection over a 6‐week period in a large healthcare system in the United States. Blood and respiratory culture results were abstracted and adjudicated by multiple authors. The primary outcome was the rate of bacteremia. We secondarily looked to define clinical or laboratory features associated with bacteremia. Results There were 542 patients admitted with confirmed SARS‐CoV‐2 infection, with an average age of 62.8 years. Of these, 395 had blood cultures performed upon admission, with six true positive results (1.1% of the total population). An additional 14 patients had positive respiratory cultures treated as true pathogens in the first 72 h. Low blood pressure and elevated white blood cell count, neutrophil count, blood urea nitrogen, and lactate were statistically significantly associated with bacteremia. Clinical outcomes were not statistically significantly different between patients with and without bacteremia. Conclusions We found a low rate of bacteremia in patients admitted with confirmed SARS‐CoV‐2 infection. In hemodynamically stable patients, routine antibiotics may not be warranted in this population

Depression and Anxiety of Care Partners During the Emergency Department Visit of Older Adults with Cognitive Impairment

Background: Older adults with cognitive impairment (CI) are more likely to visit the emergency department (ED) than those without CI. They are also more likely to suffer poor outcomes after an ED visit. Family and friends who serve as care partners contribute significant time and resources to the care of these patients and may need particular attention to their emotional needs during and after the ED encounter. In this study, we examined the association between patient and care partner characteristics on care partner depression and anxiety at the time of the ED visit. Methods: Baseline data from 640 patient-care partner dyads who were enrolled in a two-site randomized controlled trial at New York University Lagone Health and Indiana University. The goal of the trial was to evaluate a tailored collabotative care management program to reduce readmissions of ED patients older than 75 years with CI and reduce care partner burden. Eligible patients were ED patients aged ≥75 years with CI as measured by the Mini-Cog or the proxy-reported Short Informant Questionnaire on Cognitive Decline in the Elderly and a planned dicharge home. Eligble care partners were self-identified or identified by the patient. We collected patient and care partner demographics, care partner-reported patient medical and psychiatric history, daily needs of the patient, and patient-care partner relationship. We used descriptive statistics and logistic regression to identify factors associated with symptoms of depression or anxiety in care partners, as assessed by Patient Health Questionnaire (PHQ-9) and General Anxiety Disorder (GAD-7) scores, respectively. Results: Depression and anxiety data were available on all 640 care partners. In total, 251 (39.2%) had depression as measured by a score of ≥5 on the PHQ-9 and 299 (46.7%) had anxiety based on a score ≥5 on the GAD-7. Patient functional impairment (OR 1.04, 95% CI 1.01, 1.07), behavioral and psychological symptoms (OR 1.08, 95% CI 1.04, 1.13) and care partner social support (OR 0.91, CI 0.88, 0.95) were significantly associated with care partner depression. Similarly, patient functional impairment (OR 1.04, 95% CI 1.01, 1.07), behavioral and psychological symptoms (OR 1.11, 95% CI 1.07, 1.16) and care partner social support (OR 0.94, CI 0.90, 0.97) were also significantly associated with care partner anxiety as was patient race (p=0.041). Conclusions: Care partners of older adults with CI who present to the ED demonstrate depression and anxiety, but discharge from the ED represents an opportunity to focus on integration of care partners into aftercare in a well-informed, supportive fashion

Impact of interhospital transfer on patients with Alzheimer's disease and other related dementias

Abstract Older adults are often transferred from one emergency department (ED) to another hospital for speciality care, but little is known about whether those transfers positively impact patients, particularly those with Alzheimer's disease and other related dementias (ADRD). In this study we aimed to describe the impact of interhospital transfer on older adults with and without ADRD. In a retrospective review of electronic medical records, we collected data on demographics, insurance type, initial code status, intensive care, length of stay, specialist consult, procedure within 48 hours, and discharge disposition for older adults (≥65years). We included older adults with at least one ED visit, who were transferred to a tertiary care hospital. With logistic regression, we estimated odds of death, intensive care stay, or procedure within 48 hours by ADRD diagnosis. Patients with ADRD more often received a geriatrics (p < 0.001) or palliative care consult (p = 0.038). They were less likely to be full code at admission (p < 0.001) or to be discharged home (p < 0.001). Patients living with ADRD less often received intensive care or a procedure within 48 hours of transfer (odds ratio [OR] 1.87, 95% confidence interval [CI] 1.22–2.88). Patients with ADRD were less likely to receive intensive care unit admission or specialist procedures after transfer. Further study is indicated to comprehensively understand patient‐centered outcomes

Acute Stroke: Current Evidence-based Recommendations for Prehospital Care

Introduction: In the United States, Emergency Medical Services (EMS) protocols vary widely across jurisdictions. We sought to develop evidence-based recommendations for the prehospital evaluation and treatment of a patient with a suspected stroke and to compare these recommendations against the current protocols utilized by the 33 EMS agencies in the State of California.Methods: We performed a literature review of the current evidence in the prehospital treatment of a patient with a suspected stroke and augmented this review with guidelines from various national and international societies to create our evidence-based recommendations. We then compared the stroke protocols of each of the 33 EMS agencies for consistency with these recommendations.  The specific protocol components that we analyzed were the use of a stroke scale, blood glucose evaluation, use of supplemental oxygen, patient positioning, 12 lead ECG and cardiac monitoring, fluid assessment and intravenous access, and stroke regionalization. Results: Protocols across EMS agencies in California varied widely.  Most used some sort of stroke scale with the majority using the Cincinnati Prehospital Stroke Scale (CPSS).  All recommended the evaluation of blood glucose with the level for action ranging from 60 to 80mg/dL.  Cardiac monitoring was recommended in 58% and 33% recommended an ECG. More than half required the direct transport to a primary stroke center and 88% recommended hospital notification. Conclusion: Protocols for a patient with a suspected stroke vary widely across the State of California.  The evidence-based recommendations that we present for the prehospital diagnosis and treatment of this condition may be useful for EMS medical directors tasked with creating and revising these protocols