Characterizing emergency department and inpatient health care utilization after seizure-related hospitalization: A retrospective cohort study.

OBJECTIVE: Seizure care is a significant driver of health care costs in both emergency department (ED) and inpatient settings, but the majority of studies have focused on inpatient admissions as the only metric of health care utilization. This study aims to better characterize ED and inpatient encounters among patients with seizure to inform care and policy. METHODS: Using statewide administrative data from the Healthcare Cost and Utilization Project State Inpatient Databases and State Emergency Department Databases from Florida and New York, we identified patients with a seizure-related index hospitalization between January 1, 2016, and December 31, 2018. Among this cohort, we examined the incidence and characteristics of subsequent acute care visits in the ED and inpatient settings for 365 days after initial hospital discharge. RESULTS: A total of 54 456 patients had an eligible seizure-related hospitalization. Patients were 49% female, predominantly White (64%) and non-Hispanic (84%), and used a public primary payer (68%). There were 36 838 (68%) patients with at least one acute care visit in the year following discharge. Overall, patients had a median of 2 (interquartile [IQR] = 1-5) subsequent acute care visits and the median time to first acute care visit was 53 days (IQR = 15-138). Of the 154 369 subsequent acute care visits, 97 399 (63%) were ED-only visits, 56 970 (37%) were readmissions, and 37 176 (24%) were seizure-related. There were 18 786 patients (35%) with four or more acute care visits over 365 days of follow-up. Patients with four or more visits contributed 84% of acute care visits and 78% of costs after initial hospitalization. SIGNIFICANCE: The majority of patients hospitalized for seizure return to the ED or hospital at least once in the year after discharge. A small portion of patients account for the majority of ED and inpatient visits as well as health care costs associated with this population, identifying a subgroup of patients who may benefit from improved inpatient and outpatient management.

Hospital variation of outcomes in status epilepticus.

OBJECTIVE: Understanding factors driving variation in status epilepticus outcomes would be critical to improve care. We evaluated the degree to which patient and hospital characteristics explained hospital-to-hospital variability in intubation and postacute outcomes. METHODS: This was a retrospective cohort study of Medicare beneficiaries admitted with status epilepticus between 2009 and 2019. Outcomes included intubation, discharge to a facility, and 30- and 90-day readmissions and mortality. Multilevel models calculated percent variation in each outcome due to hospital-to-hospital differences. RESULTS: We included 29 150 beneficiaries. The median age was 68 years (interquartile range [IQR] = 57-78), and 18 084 (62%) were eligible for Medicare due to disability. The median (IQR) percentages of each outcome across hospitals were: 30-day mortality 25% (0%-38%), any 30-day readmission 14% (0%-25%), 30-day status epilepticus readmission 0% (0%-3%), 30-day facility stay 40% (25%-53%), and intubation 46% (20%-61%). However, after accounting for many hospitals with small sample size, hospital-to-hospital differences accounted for 2%-6% of variation in all unadjusted outcomes, and approximately 1%-5% (maximally 8% for 30-day readmission for status epilepticus) after adjusting for patient, hospitalization, and/or hospital characteristics. Although many characteristics significantly predicted outcomes, the largest effect size was cardiac arrest predicting death (odds ratio = 10.1, 95% confidence interval = 8.8-11.7), whereas hospital characteristics (e.g., staffing, accreditation, volume, setting, services) all had lesser effects. SIGNIFICANCE: Hospital-to-hospital variation explained little variation in studied outcomes. Rather, certain patient characteristics (e.g., cardiac arrest) had greater effects. Interventions to improve outcomes after status epilepticus may be better focused on individual or prehospital factors, rather than at the inpatient systems level.

Evaluation of the Use of Ketamine in Prehospital Seizure Management: A Retrospective Review of the ESO Database.

OBJECTIVES: Benzodiazepines are the primary antiseizure medication used by Emergency Medical Services (EMS) for seizures. Available literature in the United States and internationally shows 30% to 40% of seizures do not terminate with benzodiazepines called benzodiazepine refractory status epilepticus (BRSE). Ketamine is a potential treatment for BRSE due to its unique pharmacology. However, its application in the prehospital setting is mostly documented in case reports. Little is known about its use by EMS professionals for seizure management, whether as initial treatment or for BRSE, creating an opportunity to describe its current use and inform future research. METHODS: We performed a retrospective review of 9-1-1 EMS encounters with a primary or secondary impression of seizure using the ESO Data Collaborative from 2018 to 2021. We isolated encounters during which ketamine was administered. We excluded medication administrations prior to EMS arrival and encounters without medication administration. Subgroup analysis was performed to control for airway procedure as an indication for ketamine administration. We also evaluated for co-administration with other antiseizure medications, dose and route of administration, and response to treatment. RESULTS: We identified 99,576 encounters that met inclusion. There were 2,531/99,576 (2.54%) encounters with ketamine administration and 50.7% (1,283/2,531) received ketamine without an airway procedure. There were 616 cases (48%, 616/1,283) where ketamine was given without another antiseizure medication (ASM) and without any airway procedure. The remaining 667 (52%) cases received ketamine with at least one other ASM, most commonly midazolam (89%, 593/667). Adjusted for the growth in the ESO dataset, ketamine use by EMS professionals during encounters for seizures without an airway procedure increased from 0.90% (139/15,375) to 1.45% (416/28,651) an increase of 62% over the study period. CONCLUSIONS: In this retrospective review of the ESO Data Collaborative, ketamine administration for seizure encounters without an airway procedure increased over the study period, both as a single agent and with another ASM. Most ketamine administrations were for adult patients in the south and in urban areas. The frequency of BRSE, the need for effective treatment, and the growth in ketamine use warrant prospective prehospital research to evaluate the value of ketamine in prehospital seizure management.

Effect of collaborative dementia care on potentially inappropriate medication use: Outcomes from the Care Ecosystem randomized clinical trial.

INTRODUCTION: Potentially inappropriate medications (PIMs) cause adverse events and death. We evaluate the Care Ecosystem (CE) collaborative dementia care program on medication use among community-dwelling persons living with dementia (PLWD). METHODS: Secondary analysis of a randomized clinical trial (RCT) comparing CE to usual care (UC) on changes in PIMs, over 12 months between March 2015 and May 2020. Secondary outcomes included change in number of medications, clinically relevant PIMs, and anti-dementia medications. RESULTS: Of 804 PLWD, N = 490 had complete medication data. The CE resulted in significantly fewer PIMs compared to UC (-0.35; 95% CI, -0.49 to -0.20; P < 0.0001). Number needed to prevent an increase in 1 PIM was 3. Total medications, PIMs for dementia or cognitive impairment, CNS-active PIMs, anticholinergics, benzodiazepines, and opioids were also fewer. Anti-dementia medication regimens were modified more frequently. CONCLUSION: The CE medication review intervention embedded in collaborative dementia care optimized medication use among PLWD. HIGHLIGHTS: Compared to usual care (UC), the Care Ecosystem (CE) medication review intervention prevented increases in potentially inappropriate medications (PIMs). Use of anticholinergics, benzodiazepines, and opioids were significantly reduced, with a trend for antipsychotics. Anti-dementia medications were adjusted more frequently. The CE medication review intervention embedded in collaborative dementia care optimized medication use.

Amyloid-ß related angiitis presenting as eosinophilic meningitis: a case report.

BACKGROUND: Eosinophilic meningitis is uncommon and often attributed to infectious causes. CASE PRESENTATION: We describe a case of a 72-year-old man who presented with subacute onset eosinophilic meningitis, vasculitis, and intracranial hypertension with progressive and severe neurologic symptoms. Brain MRI demonstrated multifocal strokes and co-localized right temporo-parieto-occipital vasogenic edema, cortical superficial siderosis, and diffuse leptomeningeal enhancement. He ultimately underwent brain biopsy with immunohistochemical stains for amyloid-ß and Congo red that were extensively positive in the blood vessel walls and in numerous diffuse and neuritic parenchymal confirming a diagnosis of amyloid-ß related angiitis. He was treated with immunosuppression with clinical stabilization. CONCLUSIONS: Amyloid-ß related angiitis is an underrecognized cause of eosinophilic meningitis that can present fulminantly and is typically responsive to immunosuppression. The presence of eosinophils may provide additional clues to the underlying pathophysiology of amyloid-ß related angiitis.

Real-World Midazolam Use and Outcomes With Out-of-Hospital Treatment of Status Epilepticus in the United States.

STUDY OBJECTIVE: Guidelines recommend 10-mg intramuscular midazolam as the first-line treatment option for status epilepticus. However, in real-world practice, it is frequently administered intranasally or intravenously and is dosed lower. Therefore, we used conventional and instrumental variable approaches to examine the effectiveness of midazolam in a national out-of-hospital cohort. METHODS: This retrospective cohort study of adults with status epilepticus used the ESO Data Collaborative research dataset (January 1, 2019, to December 31, 2019). The exposures were the route and dose of midazolam. We performed hierarchical logistic regression and 2-stage least squares regression using agency treatment patterns as an instrument to examine our outcomes, rescue therapy, and ventilatory support. RESULTS: There were 7,634 out-of-hospital encounters from 657 EMS agencies. Midazolam was administered intranasally in 20%, intravenously in 46%, and intramuscularly in 35% of the encounters. Compared with intramuscular administration, intranasal midazolam increased (risk difference [RD], 6.5%; 95% confidence interval [CI], 2.4% to 10.5%) and intravenous midazolam decreased (RD, -11.1%; 95% CI, -14.7% to -7.5%) the risk of rescue therapy. The differences in ventilatory support were not statistically significant (intranasal RD, -1.5%; 95% CI, -3.2% to 0.3%; intravenous RD, -0.3%; 95% CI, -1.9% to 1.2%). Higher doses were associated with a lower risk of rescue therapy (RD, -2.6%; 95% CI, -3.3% to -1.9%) and increased ventilatory support (RD, 0.4%; 95% CI, 0.1% to 0.7%). The instrumental variable analysis yielded similar results, except that dose was not associated with ventilatory support. CONCLUSION: The route and dose of midazolam affect clinical outcomes. Compared with intramuscular administration, intranasal administration may be less effective and intravenous administration more effective in terminating status epilepticus, although the differences between these and previous results may reflect the nature of real-world data as opposed to randomized data.

COVID-19 severity and age increase the odds of delirium in hospitalized adults with confirmed SARS-CoV-2 infection: a cohort study.

BACKGROUND: Despite recognition of the neurologic and psychiatric complications associated with SARS-CoV-2 infection, the relationship between coronavirus disease 19 (COVID-19) severity on hospital admission and delirium in hospitalized patients is poorly understood. This study sought to measure the association between COVID-19 severity and presence of delirium in both intensive care unit (ICU) and acute care patients by leveraging an existing hospital-wide systematic delirium screening protocol. The secondary analyses included measuring the association between age and presence of delirium, as well as the association between delirium and safety attendant use, restraint use, discharge home, and length of stay. METHODS: In this single center retrospective cohort study, we obtained electronic medical record (EMR) data using the institutional Epic Clarity database to identify all adults diagnosed with COVID-19 and hospitalized for at least 48-h from February 1-July 15, 2020. COVID-19 severity was classified into four groups. These EMR data include twice-daily delirium screenings of all patients using the Nursing Delirium Screening Scale (non-ICU) or CAM-ICU (ICU) per existing hospital-wide protocols. RESULTS: A total of 99 patients were diagnosed with COVID-19, of whom 44 patients required ICU care and 17 met criteria for severe disease within 24-h of admission. Forty-three patients (43%) met criteria for delirium at any point in their hospitalization. Of patients with delirium, 24 (56%) were 65 years old or younger. After adjustment, patients meeting criteria for the two highest COVID-19 severity groups within 24-h of admission had 7.2 times the odds of having delirium compared to those in the lowest category [adjusted odds ratio (aOR) 7.2; 95% confidence interval (CI) 1.9, 27.4; P = 0.003]. Patients > 65 years old had increased odds of delirium compared to those < 45 years old (aOR 8.7; 95% CI 2.2, 33.5; P = 0.003). Delirium was associated with increased odds of safety attendant use (aOR 4.5; 95% CI 1.0, 20.7; P = 0.050), decreased odds of discharge home (aOR 0.2; 95% CI 0.06, 0.6; P = 0.005), and increased length of stay (aOR 7.5; 95% CI 2.0, 13; P = 0.008). CONCLUSIONS: While delirium is common in hospitalized patients of all ages with COVID-19, it is especially common in those with severe disease on hospital admission and those who are older. Patients with COVID-19 and delirium, compared to COVID-19 without delirium, are more likely to require safety attendants during hospitalization, less likely to be discharged home, and have a longer length of stay. Individuals with COVID-19, including younger patients, represent an important population to target for delirium screening and management as delirium is associated with important differences in both clinical care and disposition.

Identification of Generalized Convulsive Status Epilepticus from Emergency Medical Service Records: A Validation Study of Diagnostic Coding.

BACKGROUND: Generalized convulsive status epilepticus (GCSE) is a neurologic emergency demanding prehospital identification and treatment. Evaluating real-world practice requires accurately identifying the target population; however, it is unclear whether emergency medical services (EMS) documentation accurately identifies patients with GCSE. OBJECTIVE: To evaluate the validity of EMS diagnostic impressions for GCSE. METHODS: This was an analysis of electronic medical records of a California county EMS system from 2013 to 2018. We identified all cases with a primary diagnostic impression of "seizure-active," "seizure-post," or "seizure-not otherwise specified (NOS)" and within each diagnostic category, we randomly selected 75 adult and 25 pediatric records. Two authors reviewed the provider narrative of these 300 charts to determine a clinical seizure diagnosis according to prespecified definitions. We calculated a kappa for interrater reliability of the clinical diagnosis. We then calculated the positive predictive value (PPV), sensitivity, and specificity of an EMS diagnosis of "seizure-active" diagnosis for identifying GCSE. Sensitivity and specificity calculations were weighted according to the distribution of seizure cases in the overall population. We performed a descriptive analysis of records with an incorrect EMS diagnosis of GCSE or seizure. RESULTS: Of 38,995 total records for seizure, there were 3401 (8.7%) seizure-active cases, 12,478 (32.0%) seizure-NOS cases, and 23,116 (59.4%) seizure-post cases. An EMS diagnosis of "seizure-active" had a PPV of 65.0% (95% CI 54.8-74.3), sensitivity of 54.6% (95% confidence interval [CI] 39.3-69.0), and specificity of 96.6% (95% CI 95.1-97.6) for capturing GCSE. Limiting the case definition to patients who received an EMS diagnosis of "seizure-active" and were treated with a benzodiazepine increased the PPV (80.2%; 95% CI 69.9-88.2) and specificity (99.3%; 95% CI 98.7-99.6) while the sensitivity decreased (25.1%; 95% CI 17.0-35.3). Across the 300 records reviewed, there were 19 (6.3%) patients who had a non-seizure related diagnosis including non-epileptic spells (7 records), altered mental status (8 records), tremors (2 records), anxiety (1 record), and stroke (1 record). CONCLUSIONS: EMS diagnostic impressions have reasonable PPV and specificity but low sensitivity for GCSE. Improved coding algorithms and training will allow for improved benchmarking, quality improvement, and research about this neurologic emergency.

Diagnosis of Tensilon-Negative Ocular Myasthenia Gravis By Daily Selfie.

The initial symptoms of myasthenia gravis are usually ptosis and diplopia. The diagnosis is often confirmed by testing for anti-acetylcholine receptor antibodies or by observing the effects of intravenous edrophonium (Tensilon) injection. However, these standard tests may be negative in patients with isolated ocular findings. We present the case of an 83-year-old woman with negative serologic and Tensilon testing. She was asked to photograph herself daily. The resulting sequence of daily selfies captured striking fluctuations in her ocular alignment and ptosis. Daily selfies may be a useful strategy for confirming the clinical diagnosis of ocular myasthenia gravis.

Time from onset of SIRS to antibiotic administration and outcomes after subarachnoid hemorrhage.

INTRODUCTION: The interval from presentation with systemic inflammatory response syndrome (SIRS) to the start of antibiotic administration affects mortality in patients with sepsis. However, patients with subarachnoid hemorrhage (SAH) often develop SIRS directly from their brain injury, making it a less useful indicator of infection. We therefore hypothesized that SIRS would not be a suitable trigger for antibiotics in this population. METHODS: We examined the time from the development of SIRS until antibiotic initiation and its relationship to long-term neurological outcomes in patients with nontraumatic SAH. Patients' baseline characteristics, time of antibiotic administration, and hospital course were collected from retrospective chart review. The primary outcome, 6-month functional status, was prospectively determined using blinded, structured interviews incorporating the modified Rankin Scale (mRS). RESULTS: Sixty-six of 70 patients with SAH during the study period had 6-month follow-up and were included in this analysis. SIRS developed in 57 patients (86%, 95% CI 78-95%). In ordinal logistic regression models controlling for age and illness severity, the time from SIRS onset until antibiotic initiation was not associated with 6-month mRS scores (OR per hour, 0.994; 95% CI 0.987-1.001). CONCLUSIONS: In this cohort of patients with SAH, time from SIRS onset until antibiotic administration was not related to functional outcomes. Our results indicate that SIRS is nonspecific in patients with SAH, and support the safety of withholding antibiotics in those who lack additional evidence of infection or hemodynamic deterioration.

Geographic Access to High-Volume Mechanical Thrombectomy Centers in Florida, 2019.

Background and Objectives: Mechanical thrombectomy (MT) improves outcomes for acute ischemic stroke (AIS) due to large vessel occlusion, but is time sensitive and requires specialized infrastructure. Professional organizations and certification bodies have promulgated minimum procedural volume standards for centers and for individual proceduralists but it is unclear whether enforcing these requirements would decrease geographic access to MT. Therefore, we sought to evaluate the potential impact of applying a minimum procedural volume threshold on geographic access to MT. Methods: We identified all hospital discharges for stroke where an MT procedure was performed at any nonfederal hospital in Florida in 2019 using statewide hospital discharge data. We then generated geographic service area maps based on prespecified ground transport distances for the subset of hospitals that performed at least 1 MT and for those that performed at least 15 MTs that year, the minimum volume threshold required for thrombectomy capable and comprehensive stroke centers by the Joint Commission. Then, using zip code centroids and patient-level discharge hospital data, we computed the proportion of patients with AIS who lived within each of the generated service areas. Results: A total of 105 of 297 hospitals performed MT; of those, 51 (17%) were low-volume centers (1-14 MTs/year) and 54 (18%) were high-volume centers (≥15 MTs/year). High-volume centers accounted for nearly 95% of all MTs performed in the state. Most patients hospitalized with AIS (87%) lived within 20 miles (or an estimated as a 1-hour driving time) of a hospital that performed at least 1 MT, and all (100%) lived within 115 miles (or estimated as 3-hour driving time). Setting a minimum MT volume threshold of 15 would decrease the proportion of stroke patients living within 1-hour driving time of an MT center from 87% to 77%. Discussion: In 2019, most Florida stroke patients lived within a 1-hour ground transport time to a center that performed at least 1 MT and all lived within 3-hour driving time of an MT center, irrespective of whether a minimum procedural volume threshold of 15 cases per year was applied or not.

Impact of the COVID-19 Pandemic on Inpatient Utilization for Acute Neurologic Disease.

Background and Objective: The initial months of the Corona Virus 2019 (COVID-19) pandemic resulted in decreased hospitalizations. We aimed to describe differences in hospitalizations and related procedures across neurologic disease. Methods: In our retrospective observational study using the California State Inpatient Database and state-wide population-level estimates, we calculated neurologic hospitalization rates for a control period from January 2019 to February 2020 and a COVID-19 pandemic period from March to December 2020. We calculated incident rate ratios (IRR) for neurologic hospitalizations using negative binomial regression and compared relevant procedure rates over time. Results: Population-based neurologic hospitalization rates were 29.1 per 100,000 (95% CI 26.9-31.3) in April 2020 compared to 43.6 per 100,000 (95% CI 40.4-46.7) in January 2020. Overall, the pandemic period had 13% lower incidence of neurologic hospitalizations per month (IRR 0.87, 95% CI 0.86-0.89). The smallest decreases were in neurotrauma (IRR 0.92, 95% CI 0.89-0.95) and neuro-oncologic cases (IRR 0.93, 95% CI 0.87-0.99). Headache admissions experienced the greatest decline (IRR 0.62, 95% CI 0.58-0.66). For ischemic stroke, greater rates of endovascular thrombectomy (5.6% vs 5.0%; P < .001) were observed in the pandemic. Among all neurologic disease, greater rates of gastrostomy (4.0% vs 3.5%; P < .001), intubation/mechanical ventilation (14.3% vs 12.9%, P < .001), and tracheostomy (1.4 vs 1.2%; P < .001) were observed during the pandemic. Conclusions: During the first months of the COVID-19 pandemic there were fewer hospitalizations to varying degrees for all neurologic diagnoses. Rates of procedures indicating severe disease increased. Further study is needed to determine the impact on triage, patient outcomes, and cost consequences.

Differences in Interfacility Transfer from Emergency Department and Inpatient Services for Inpatient Neurologic Care.

Introduction: Interhospital transfer is an important mechanism for improving access to specialized neurologic care but there are large gaps in our understanding of interhospital transfer for the management of non-stroke-related neurologic disease. Methods: This observational study included consecutive patients admitted to an adult academic general neurology service via interhospital transfer from July 1, 2015 to July 1, 2017. Characteristics of the referring hospital and transferred patients were obtained through the American Hospital Association Directory, a hospital transfer database maintained by the accepting hospital, and the electronic medical record. The analyses used descriptive statistics to examine the cohort overall and compare characteristics of patients transferred from an emergency department and inpatient service. Results: 504 patients were admitted via interhospital transfer during the study period. Of these, 395 patients (78.4%) were transferred because the referring hospital lacked capability, and 139 patients (27.6%) were transferred from an emergency department as opposed to inpatient service. Seizures was the most common diagnosis (23.8%). Patients who were transferred from an emergency department had a higher proportion covered by Medicaid (44.6%) than those transferred from an inpatient service (28.8%) and had a shorter median length of stay (3 days; IQR 2-7 vs 7 days; IQR 4-12). Conclusions: The majority of observed interhospital non-stroke neurologic transfers occurred to improve access to specialized neurological care for patients, though patients transferred from the ED, as opposed to an inpatient service, had lower health care utilization, and this will be important to consider when developing systems of care and in future research.

Prevalence and Determinants of Prehospital Impression of Stroke in Ischemic Stroke Patients.

BACKGROUND: Emergency Medical Services (EMS) clinicians are front-line in evaluating patients with stroke in the community. Their ability to correctly identify stroke influences downstream management decisions. We sought to use a large national database of prehospital clinical data to determine risk factors associated with missed EMS stroke identification. METHODS: Retrospective study examining EMS evaluation of adults with Emergency Department (ED) stroke diagnosis. We leveraged the ESO Data Collaborative research dataset containing EHR data from 2019-2022 that has a subset of encounters with linked hospital diagnostic codes. Our primary outcome was the presence of an EMS diagnosis of stroke. We evaluated the association between demographic and clinical variables with EMS stroke identification using Pearson χ2 test for demographic variables and multivariable GLM for clinical variables with adjustment for demographic variables. RESULTS: We identified 34,504 EMS encounters for patients with ED stroke diagnosis. Of these, 11,077 (32.1%) strokes had missed EMS stroke identification and instead had an EMS impression of "Generalized Weakness" (25.9%), "Altered Level of Consciousness" (24.9%), and "Dizziness" (7.2%). Patients more likely to have missed prehospital stroke identification were of Black race (p=0.0001) and Hispanic ethnicity (p=0.0001). Clinical variables associated with higher risk of missed EMS stroke identification were suspected alcohol or drug use (RR 1.48, 95% CI 1.37-1.59), low GCS (RR 1.17, 95% CI 1.10-1.24), tachycardia (RR 1.05, 95% CI 1.01-1.09), and hypotension (RR 1.47, 95% CI 1.34-1.61). CONCLUSIONS: Approximately 1-in-3 patients transported by EMS did not have their stroke identified in the prehospital setting. Factors associated with lower odds of missed EMS stroke identification provide a starting point for future performance improvement initiatives.

Evaluating the feasibility of prehospital point-of-care EEG: The prehospital implementation of rapid EEG (PHIRE) study.

Background: Point-of-care electroencephalography (EEG) devices can be rapidly applied and do not require specialized technologists, creating new opportunities to use EEG during prehospital care. We evaluated the feasibility of point-of-care EEG during ambulance transport for 911 calls. Methods: This mixed-methods study was conducted between May 28, 2022 and October 28, 2023. Emergency Medical Services (EMS) clinicians identified eligible individuals, provided emergent treatment, applied EEG, and obtained an EEG recording during ambulance transport. Eligible patients were aged 6 years or older and evaluated for seizure, stroke, or altered mental status. EMS clinicians completed a survey and a brief phone interview following every enrollment. Two epileptologists reviewed EEG recordings for interpretability and artifact. Results: There were 34 prehospital encounters in which EEG was applied. Patients had a mean age of 69 years, and 15 (44%) were female. EEG recordings had a median duration of 10 min 30 s. It took EMS clinicians an average of 2.5 min to apply the device and begin EEG recording. There were 14 (47%) recordings where clinicians achieved a high-quality connection for all 10 electrodes and 32 (94%) recordings that were sufficient in quality to interpret. There were 24 (71%) recordings with six or more channels free of artifact for 5 min or more. All clinicians agreed or strongly agreed that the device was easy to use. Conclusion: Among real-world prehospital encounters for patients with neurologic symptoms, point-of-care EEG was rapidly applied and yielded EEG recordings that could be used for clinical interpretation, demonstrating the feasibility of point-of-care EEG in future prehospital care.

Clinical and Radiographic Characteristics of Nocardia vs Non-Nocardia Brain Abscesses.

Background and Objectives: Diagnosis and treatment of CNS nocardiosis is challenging and often delayed, which increases morbidity and mortality. The primary objective was to compare the clinical and radiographic characteristics of patients with CNS nocardiosis with non-Nocardia bacterial brain abscesses. Methods: We performed a case-control study of patients with brain abscesses diagnosed between 1998 and 2018 at a tertiary academic center. We identified 56 patients with brain MRI demonstrating brain abscess from the institutional imaging database: 14 with culture-confirmed nocardiosis and 42 randomly selected prevalent controls with culture-confirmed non-Nocardia bacterial infection. The primary outcomes were the diagnosis of concomitant lung infection and history of immunosuppression. Secondary outcomes included abscess radiographic characteristics: multifocality, occipital lobe and/or infratentorial location, and bilobed morphology. Results: Compared with patients with non-Nocardia brain abscesses, patients with CNS nocardiosis were older (median 61 years [IQR 59-69] vs 48 years [IQR 34-61]; p = 0.03), more likely to be immunosuppressed [71% (10) vs 19% (8); p < 0.001), have diabetes (36% (5) vs 10% [4]; p = 0.03), or a concomitant lung infection (86% [12] vs 2% [1]; p < 0.001). Radiographically, more cases of CNS nocardiosis exhibited multifocal abscesses (29% [4] vs 2% [1]; p = 0.01), which were located in the infratentorial (43% [6] vs 10% (4); p = 0.01) or occipital (36% [5] vs 5% [2]; p = 0.008) regions and had a bilobed (as opposed to unilobed) morphology (79% [11] vs 19% [8]; p < 0.001). Blood and CSF cultures were negative in most of the cases and controls, whereas neurosurgical specimen culture yielded a diagnosis in 100% of specimens. Discussion: Patients with CNS nocardiosis were more likely to be older, have a history of diabetes or immunosuppression, or have a concomitant lung infection compared with those with non-Nocardia brain abscesses. Abscesses because of CNS nocardiosis were more likely to be multifocal, affect the infratentorial region or occipital lobe, or have a bilobed appearance. Neurosurgical specimen culture was most likely to yield a diagnosis for both Nocardia and non-Nocardia abscesses. The combination of clinical and imaging findings may suggest CNS nocardiosis and inform early initiation of targeted empiric treatment.

Hospital EEG Capability and Associations With Interhospital Transfer in Status Epilepticus.

Background and Objectives: EEG is widely recommended for status epilepticus (SE) management. However, EEG access and use across the United States is poorly characterized. We aimed to evaluate changes in inpatient EEG access over time and whether availability of EEG is associated with interhospital transfers for patients hospitalized with SE. Methods: We performed a cross-sectional study using data available in the National Inpatient Sample data set from 2012 to 2018. We identified hospitals that used continuous or routine EEG during at least 1 seizure-related hospitalization in a given year using ICD-9 and ICD-10 procedure codes and defined these hospitals as EEG capable. We examined annual change in the proportion of hospitals that were EEG capable during the study period, compared characteristics of hospitals that were EEG capable with those that were not, and fit multivariable logistic regression models to determine whether hospital EEG capability was associated with likelihood of interhospital transfer. Results: Among 4,550 hospitals in 2018, 1,241 (27.3%) were EEG capable. Of these, 1,188 hospitals (95.7%) were in urban settings. From 2012 to 2018, the proportion of hospitals that were EEG capable increased in urban settings (30.5%-41.1%, Mann-Kendall [M-K] test p < 0.001) and decreased in rural settings (4.0%-3.2%, M-K p = 0.026). Among 130,580 patients hospitalized with SE, 80,725 (61.8%) presented directly to an EEG-capable hospital. However, EEG use during hospitalization varied from 8% to 98%. Initial admission to a hospital without EEG capability was associated with 22% increased likelihood of interhospital transfer (adjusted RR 1.22, [95% CI, 1.09-1.37]; p < 0.01). Among those hospitalized at an EEG-capable hospital, patients admitted to hospitals in the lowest quintile of EEG volume were more than 2 times more likely to undergo interhospital transfer (adjusted RR 2.22, [95% CI 1.65-2.93]; p < 0.001). Discussion: A minority of hospitals are EEG capable yet care for most patients with SE. Inpatient EEG use, however, varies widely among EEG-capable hospitals, and lack of inpatient EEG access is associated with interhospital transfer. Given the high incidence and cost of SE, there is a need to better understand the importance and use of EEG in this patient population to further organize inpatient epilepsy systems of care to optimize outcomes.

Care Ecosystem Collaborative Model and Health Care Costs in Medicare Beneficiaries With Dementia: A Secondary Analysis of a Randomized Clinical Trial.

Importance: Collaborative dementia care programs are effective in addressing the needs of patients with dementia and their caregivers. However, attempts to consider effects on health care spending have been limited, leaving a critical gap in the conversation around value-based dementia care. Objective: To determine the effect of participation in collaborative dementia care on total Medicare reimbursement costs compared with usual care. Design, Setting, and Participants: This was a prespecified secondary analysis of the Care Ecosystem trial, a 12-month, single-blind, parallel-group randomized clinical trial conducted from March 2015 to March 2018 at 2 academic medical centers in California and Nebraska. Participants were patients with dementia who were living in the community, aged 45 years or older, and had a primary caregiver and Medicare fee-for-service coverage for the duration of the trial. Intervention: Telehealth dementia care program that entailed assignment to an unlicensed dementia care guide who provided caregiver support, standardized education, and connection to licensed dementia care specialists. Main Outcomes and Measures: Primary outcome was the sum of all Medicare claim payments during study enrollment, excluding Part D (drugs). Results: Of the 780 patients in the Care Ecosystem trial, 460 (59.0%) were eligible for and included in this analysis. Patients had a median (IQR) age of 78 (72-84) years, and 256 (55.7%) identified as female. Participation in collaborative dementia care reduced the total cost of care by $3290 from 1 to 6 months postenrollment (95% CI, -$6149 to -$431; P = .02) and by $3027 from 7 to 12 months postenrollment (95% CI, -$5899 to -$154; P = .04), corresponding overall to a mean monthly cost reduction of $526 across 12 months. An evaluation of baseline predictors of greater cost reduction identified trends for recent emergency department visit (-$5944; 95% CI, -$10 336 to -$1553; interaction P = .07) and caregiver depression (-$6556; 95% CI, -$11 059 to -$2052; interaction P = .05). Conclusions and Relevance: In this secondary analysis of a randomized clinical trial among Medicare beneficiaries with dementia, the Care Ecosystem model was associated with lower total cost of care compared with usual care. Collaborative dementia care programs are a cost-effective, high-value model for dementia care. Trial Registration: ClinicalTrials.gov Identifier: NCT02213458.