The unexpected paradox of geriatric traumatic brain injury outcomes: Uncovering racial and ethnic disparities.

BACKGROUND: Healthcare disparities have always challenged surgical care in the US. We aimed to assess the influence of disparities on cerebral monitor placement and outcomes of geriatric TBI patients. METHODS: Analysis of 2017-2019 ACS-TQIP. Included severe TBI patients ≥65 years. Patients who died within 24 h were excluded. Outcomes included mortality, cerebral monitors use, complications, and discharge disposition. RESULTS: We included 208,495 patients (White = 175,941; Black = 12,194) (Hispanic = 195,769; Non-Hispanic = 12,258). On multivariable regression, White race was associated with higher mortality (aOR = 1.26; p < 0.001) and SNF/rehab discharge (aOR = 1.11; p < 0.001) and less likely to be discharged home (aOR = 0.90; p < 0.001) or to undergo cerebral monitoring (aOR = 0.77; p < 0.001) compared to Black. Non-Hispanics had higher mortality (aOR = 1.15; p = 0.013), complications (aOR = 1.26; p < 0.001), and SNF/Rehab discharge (aOR = 1.43; p < 0.001) and less likely to be discharged home (aOR = 0.69; p < 0.001) or to undergo cerebral monitoring (aOR = 0.84; p = 0.018) compared to Hispanics. Uninsured Hispanics had the lowest odds of SNF/rehab discharge (aOR = 0.18; p < 0.001). CONCLUSIONS: This study highlights the significant racial and ethnic disparities in the outcomes of geriatric TBI patients. Further studies are needed to address the reason behind these disparities and identify potentially modifiable risk factors in the geriatric trauma population.

Seizure symptoms and ambulatory EEG findings: incidence of epileptiform discharges.

AIMS: Ambulatory video-EEG monitoring has been utilized as a cost-effective alternative to inpatient video-EEG monitoring for non-surgical diagnostic evaluation of symptoms suggestive of epileptic seizures. We aimed to assess incidence of epileptiform discharges in ambulatory video-EEG recordings according to seizure symptom history obtained during clinical evaluation. METHODS: This was a retrospective cohort study. We queried seizure symptoms from 9,221 consecutive ambulatory video-EEG studies in 35 states over one calendar year. We assessed incidence of epileptiform discharges for each symptom, including symptoms that conformed to a category heading, even if not included in the ILAE 2017 symptom list. We report incidences, odds ratios, and corresponding p values using Fisher's exact test and univariate logistic regression. We applied multivariable logistic regression to generate odds ratios for the six symptom categories that are controlled for the presence of other symptoms. RESULTS: History that included motor symptoms (OR=1.53) or automatisms (OR=1.42) was associated with increased occurrence of epileptiform discharges, whereas history of sensory symptoms (OR=0.76) predicted lack of epileptiform discharges. Patient-reported symptoms that were associated with increased occurrence of epileptiform discharges included lip-smacking, moaning, verbal automatism, aggression, eye-blinking, déjà vu, muscle pain, urinary incontinence, choking and jerking. On the other hand, auditory hallucination memory deficits, lightheadedness, syncope, giddiness, fibromyalgia and chronic pain predicted absence of epileptiform discharges. The majority of epileptiform discharges consisted only of interictal sharp waves or spikes. CONCLUSIONS: Our study shows that the use of ILAE 2017 symptom categories may help guide ambulatory video-EEG studies.

Current status of pediatric neurocritical care in Argentina. / Estado actual del soporte neurológico crítico en pediatría en la Argentina.

INTRODUCTION: Patients with neurocritical injuries account for 10-16 % of pediatric intensive care unit (PICU) admissions and frequently require neuromonitoring. OBJECTIVE: To describe the current status of neuromonitoring in Argentina. METHODS: Survey with 37 questions about neuromonitoring without including patients' data. Period: April-June 2017. RESULTS: Thirty-eight responses were received out of 71 requests (14 districts with 11 498 annual discharges). The PICU/hospital bed ratio was 21.9 (range: 4.2-66.7). Seventy-four percent of PICUs were public; 61 %, university-affiliated; and 71 %, level I. The availability of monitoring techniques was similar between public and private (percentages): intracranial pressure (95), electroencephalography (92), transcranial Doppler (53), evoked potentials (50), jugular saturation (47), and bispectral index (11). Trauma was the main reason for monitoring. CONCLUSION: Except for intracranial pressure and electroencephalography, neuromonitoring resources are scarce and active neurosurgery availability is minimal. A PICU national registry is required.

Introducción. Los pacientes con lesiones neurocríticas representan el 10-16 % de los ingresos a unidades de cuidados intensivos pediátricas (UCIP) y, frecuentemente, requieren neuromonitoreo. Objetivo. Describir el estado actual del neuromonitoreo en la Argentina. Métodos. Encuesta con 37 preguntas sobre neuromonitoreo sin incluir datos de pacientes. Período: abril-junio, 2017. Resultados. Se recibieron 38 respuestas a 71 solicitudes (14 distritos con 11 498 egresos anuales). La relación camas de UCIP/hospitalarias fue 21,9 (rango: 4,2-66,7). El 74 % fueron públicas; el 61 %, universitarias, y el 71 %, nivel 1. La disponibilidad fue similar entre públicas y privadas (porcentajes): presión intracraneana (95), electroencefalografía (92), doppler transcraneano (53), potenciales evocados (50), saturación yugular (47) e índice bispectral (11). El principal motivo de monitoreo fue trauma. Conclusión. Excepto la presión intracraneana y la electroencefalografía, los recursos de neuromonitoreo son escasos y la disponibilidad de neurocirugía activa es mínima. Se necesita un registro nacional de UCIP.

Global Survey of Outcomes of Neurocritical Care Patients: Analysis of the PRINCE Study Part 2.

BACKGROUND: Neurocritical care is devoted to the care of critically ill patients with acute neurological or neurosurgical emergencies. There is limited information regarding epidemiological data, disease characteristics, variability of clinical care, and in-hospital mortality of neurocritically ill patients worldwide. We addressed these issues in the Point PRevalence In Neurocritical CarE (PRINCE) study, a prospective, cross-sectional, observational study. METHODS: We recruited patients from various intensive care units (ICUs) admitted on a pre-specified date, and the investigators recorded specific clinical care activities they performed on the subjects during their first 7 days of admission or discharge (whichever came first) from their ICUs and at hospital discharge. In this manuscript, we analyzed the final data set of the study that included patient admission characteristics, disease type and severity, ICU resources, ICU and hospital length of stay, and in-hospital mortality. We present descriptive statistics to summarize data from the case report form. We tested differences between geographically grouped data using parametric and nonparametric testing as appropriate. We used a multivariable logistic regression model to evaluate factors associated with in-hospital mortality. RESULTS: We analyzed data from 1545 patients admitted to 147 participating sites from 31 countries of which most were from North America (69%, N = 1063). Globally, there was variability in patient characteristics, admission diagnosis, ICU treatment team and resource allocation, and in-hospital mortality. Seventy-three percent of the participating centers were academic, and the most common admitting diagnosis was subarachnoid hemorrhage (13%). The majority of patients were male (59%), a half of whom had at least two comorbidities, and median Glasgow Coma Scale (GCS) of 13. Factors associated with in-hospital mortality included age (OR 1.03; 95% CI, 1.02 to 1.04); lower GCS (OR 1.20; 95% CI, 1.14 to 1.16 for every point reduction in GCS); pupillary reactivity (OR 1.8; 95% CI, 1.09 to 3.23 for bilateral unreactive pupils); admission source (emergency room versus direct admission [OR 2.2; 95% CI, 1.3 to 3.75]; admission from a general ward versus direct admission [OR 5.85; 95% CI, 2.75 to 12.45; and admission from another ICU versus direct admission [OR 3.34; 95% CI, 1.27 to 8.8]); and the absence of a dedicated neurocritical care unit (NCCU) (OR 1.7; 95% CI, 1.04 to 2.47). CONCLUSION: PRINCE is the first study to evaluate care patterns of neurocritical patients worldwide. The data suggest that there is a wide variability in clinical care resources and patient characteristics. Neurological severity of illness and the absence of a dedicated NCCU are independent predictors of in-patient mortality.