Impact of First Wave of COVID-19 Pandemic on Mortality at Emergency Department in Older Patients with COVID and Non-COVID Diagnoses.

INTRODUCTION: Mortality in emergency departments (EDs) is not well known. This study aimed to assess the impact of the first-wave pandemic on deaths accounted in the ED of older patients with COVID and non-COVID diseases. METHODS: We used data from the Emergency Department and Elderly Needs (EDEN) cohort (pre-COVID period) and from the EDEN-COVID cohort (COVID period) that included all patients ≥65 years seen in 52 Spanish EDs from April 1 to 7, 2019, and March 30 to April 5, 2020, respectively. We recorded patient characteristics and final destination at ED. We compared older patients in the pre-COVID period, with older patients with non-COVID and with COVID-19. ED-mortality (before discharge or hospitalization) is the prior outcome and is expressed as an adjusted odds ratio (aOR) with 95% interval confidence. RESULTS: We included 23,338 older patients from the pre-COVID period (aged 78.3 [8.1] years), 6,715 patients with non-COVID conditions (aged 78.9 [8.2] years) and 3,055 with COVID (aged 78.3 [8.3] years) from the COVID period. Compared to the older patients, pre-COVID period, patients with non-COVID and with COVID-19 were more often male, referred by a doctor and by ambulance, with more comorbidity and disability, dementia, nursing home, and more risk according to qSOFA, respectively (p < 0.001). Compared to the pre-COVID period, patients with non-COVID and with COVID-19 were more often to be hospitalized from ED (24.8% vs. 44.3% vs. 79.1%) and were more often to die in ED (0.6% vs. 1.2% vs. 2.2%), respectively (p < 0.001). Compared to the pre-COVID period, aOR for age, sex, comorbidity and disability, ED mortality in elderly patients cared in ED during the COVID period was 2.31 (95% confidence interval [CI]: 1.76-3.06), and 3.75 (95% CI: 2.77-5.07) for patients with COVID. By adding the variable qSOFA to the model, such OR were 1.59 (95% CI: 1.11-2.30) and 2.16 (95% CI: 1.47-3.17), respectively. CONCLUSIONS: During the early first pandemic wave of COVID-19, more complex and life-threatening older with COVID and non-COVID diseases were seen compared to the pre-COVID period. In addition, the need for hospitalization and the ED mortality doubled in non-COVID and tripled in COVID diagnosis. This increase in ED mortality is not only explained by the complexity or severity of the elderly patients but also because of the system's overload.

Incidence, clinical, risk factors and outcomes of Guillain-Barré in Covid-19.

We diagnosed 11 Guillain-Barré syndrome (GBS) cases among 71,904 COVID patients attended at 61 Spanish emergency departments (EDs) during the 2-month pandemic peak. The relative frequency of GBS among ED patients was higher in COVID (0.15‰) than non-COVID (0.02‰) patients (odds ratio [OR] = 6.30, 95% confidence interval [CI] = 3.18-12.5), as was the standardized incidence (9.44 and 0.69 cases/100,000 inhabitant-years, respectively, OR = 13.5, 95% CI = 9.87-18.4). Regarding clinical characteristics, olfactory-gustatory disorders were more frequent in COVID-GBS than non-COVID-GBS (OR = 27.59, 95% CI = 1.296-587) and COVID-non-GBS (OR = 7.875, 95% CI = 1.587-39.09) patients. Although COVID-GBS patients were more frequently admitted to intensive care, mortality was not increased versus control groups. Our results suggest SARS-CoV-2 could be another viral infection causing GBS. ANN NEUROL 2021;89:598-603.

Socio-Demographic Health Determinants Are Associated with Poor Prognosis in Spanish Patients Hospitalized with COVID-19.

INTRODUCTION: Social vulnerability is a known determinant of health in respiratory diseases. Our aim was to identify whether there are socio-demographic factors among COVID-19 patients hospitalized in Spain and their potential impact on health outcomes during the hospitalization. METHODS: A multicentric retrospective case series study based on administrative databases that included all COVID-19 cases admitted in 19 Spanish hospitals from 1 March to 15 April 2020. Socio-demographic data were collected. Outcomes were critical care admission and in-hospital mortality. RESULTS: We included 10,110 COVID-19 patients admitted to 18 Spanish hospitals (median age 68 (IQR 54-80) years old; 44.5% female; 14.8% were not born in Spain). Among these, 779 (7.7%) cases were admitted to critical care units and 1678 (16.6%) patients died during the hospitalization. Age, male gender, being immigrant, and low hospital saturation were independently associated with being admitted to an intensive care unit. Age, male gender, being immigrant, percentile of average per capita income, and hospital experience were independently associated with in-hospital mortality. CONCLUSIONS: Social determinants such as residence in low-income areas and being born in Latin American countries were associated with increased odds of being admitted to an intensive care unit and of in-hospital mortality. There was considerable variation in outcomes between different Spanish centers.

Hyperactive delirium during emergency department stay: analysis of risk factors and association with short-term outcomes.

To investigate factors related to the development of hyperactive delirium in patients during emergency department (ED) stay and the association with short-term outcomes. A secondary analysis of the EDEN (Emergency Department and Elderly Needs) multipurpose multicenter cohort was performed. Patients older than 65 years arriving to the ED in a calm state and who developed confusion and/or psychomotor agitation requiring intravenous/intramuscular treatment during their stay in ED were assigned to delirium group. Patients with psychiatric and epileptic disorders and intracranial hemorrhage were excluded. Thirty-four variables were compared in both groups and outcomes were adjusted for age, sex, Charlson Comorbidity Index, Barthel Index and polypharmacy. Hyperactive delirium that needed treatment were developed in 301 out of 18,730 patients (1.6%). Delirium was directly associated with previous episodes of delirium (OR: 2.44, 95% CI 1.24-4.82), transfer to the ED observation unit (1.62, 1.23-2.15), chronic treatment with opiates (1.51, 1.09-2.09) and length of ED stay longer than 12 h (1.41, 1.02-1.97) and was indirectly associated with chronic kidney disease (0.60, 0.37-0.97). The 30-day all-cause mortality was 4.0% in delirium group and 2.9% in non-delirium group (OR: 1.52, 95% CI 0.83-2.78), need for hospitalization 25.6% and 25% (1.09, 0.83-1.43), in-hospital mortality 16.4% and 7.3% (2.32, 1.24-4.35), prolonged hospitalization 54.5% and 48.6% (1.27, 0.80-2.00), respectively, and 90-day post-discharge combined adverse event 36.4% and 35.8%, respectively (1.06, 0.82-2.00). Patients with previous episodes of delirium, treatment with opioids and longer stay in ED more frequently develop delirium during ED stay and preventive measures should be taken to minimize the incidence. Delirium is associated with in-hospital mortality during the index event.

Sex- and age-related patterns in the use of analgesics in older patients in the emergency department.

BACKGROUND: Treatment of acute pain in older patients is a common challenge faced in emergency departments (EDs). Despite many studies that have investigated chronic analgesic use in the elderly, data on patterns of acute use, especially in EDs, of analgesics according to patient characteristics is scarce. OBJECTIVE: To investigate sex- and age-related patterns of analgesic use in the Spanish EDs and determine differences in age-related patterns according to patient sex. DESIGN: A secondary analysis of the Emergency Department and Elderly Needs (EDEN) multipurpose cohort. SETTING: Fifty-two Spanish EDs (17% of Spanish EDs covering 25% of Spanish population). PARTICIPANTS: All patients' ≥65 years attending ED during 1 week (April 1-7, 2019). Patient characteristics recorded included age, sex, chronic treatment with non-steroidal anti-inflammatory drugs (NSAIDs) and opiates, comorbidity, dependence, dementia, depression, ability to walk and previous falls. Analgesics used in the ED were categorized in three groups: non-NSAID non-opioids (mainly paracetamol and metamizole, PM), NSAIDs, and opiates. OUTCOME MEASURES: Frequency of analgesic use was quantified, and the relationship between sex and age and analgesic use (in general and for each analgesic group) was assessed by unadjusted and adjusted logistic regression and restricted cubic spline models. Interaction between sex and age was explored. MAIN RESULTS: We included 24 573 patients, and 6678 (27.2%) received analgesics in the ED: 5551 (22.6%) PM, 1661 (6.8%) NSAIDs and 937 (3.8%) opiates (1312 received combinations). Analgesics were more frequently used in women (adjusted OR = 1.076, 95%CI = 1.014-1.142), as well as with NSAID (1.205, 1.083-1.341). Analgesic use increased with age, increasing PM and decreasing NSAIDs use. Opiate use remained quite constant across age and sex. Interaction of sex with age was present for the use of analgesics in general ( P  = 0.006), for PM ( P  < 0.001) and for opiates ( P  = 0.033), with higher use of all these analgesics in women. CONCLUSION: Use of analgesics in older individuals in EDs is mildly augmented in women and increases with age, with PM use increasing and NSAIDs decreasing with age. Conversely, opiate use is quite constant according to sex and age. Age-related patterns differ according to sex, with age-related curves of women showing higher probabilities than those of men to receive any analgesic, PM or opiates.

Older Adult Patients in the Emergency Department: Which Patients should be Selected for a Different Approach?

BACKGROUND: While multidimensional and interdisciplinary assessment of older adult patients improves their short-term outcomes after evaluation in the emergency department (ED), this assessment is time-consuming and ill-suited for the busy environment. Thus, identifying patients who will benefit from this strategy is challenging. Therefore, this study aimed to identify older adult patients suitable for a different ED approach as well as independent variables associated with poor short-term clinical outcomes. METHODS: We included all patients ≥65 years attending 52 EDs in Spain over 7 days. Sociodemographic, comorbidity, and baseline functional status data were collected. The outcomes were 30-day mortality, re-presentation, hospital readmission, and the composite of all outcomes. RESULTS: During the study among 96,014 patients evaluated in the ED, we included 23,338 patients ≥65 years-mean age, 78.4±8.1 years; 12,626 (54.1%) women. During follow-up, 5,776 patients (24.75%) had poor outcomes after evaluation in the ED: 1,140 (4.88%) died, 4,640 (20.51) returned to the ED, and 1,739 (7.69%) were readmitted 30 days after discharge following the index visit. A model including male sex, age ≥75 years, arrival by ambulance, Charlson Comorbidity Index ≥3, and functional impairment had a C-index of 0.81 (95% confidence interval, 0.80-0.82) for 30-day mortality. CONCLUSION: Male sex, age ≥75 years, arrival by ambulance, functional impairment, or severe comorbidity are features of patients who could benefit from approaches in the ED different from the common triage to improve the poor short-term outcomes of this population.

Overnight stay in Spanish emergency departments and mortality in older patients.

To assess whether older adults who spend a night in emergency departments (ED) awaiting admission are at increased risk of mortality. This was a retrospective review of a multipurpose cohort that recruited all patients ≥ 75 years who visited ED and were admitted to hospital on April 1 to 7, 2019, at 52 EDs across Spain. Study groups were: patients staying in ED from midnight until 8:00 a.m. (ED group) and patients admitted to a ward before midnight (ward group). The primary endpoint was in-hospital mortality, truncated at 30 days, and secondary outcomes assessed length of stay for the index episode. The sample comprised 3,243 patients (median [IQR] age, 85 [81-90] years; 53% women), with 1,096 (34%) in the ED group and 2,147 (66%) in the ward group. In-hospital mortality for patients spending the night in the ED the ED group was 10.7% and 9.5% for patients transferred to a ward bed before midnight the ward group (adjusted OR: 1.12, 95%CI: 0.80-1.58). Sensitivity analyses rendered similar results (ORs ranged 1.06-1.13). Interaction was only detected for academic/non-academic hospitals (p < 0.001), with increased mortality risk for the latter (1.01, 0.33-3.09 vs 2.86, 1.30-6.28). There were no differences in prolonged hospitalization (> 7 days), with adjusted OR of 1.16 (0.94-1.43) and 1.15 (0.94-1.42) depending on whether time spent in the ED was or was not taken into consideration. No increased risk of in-hospital mortality or prolonged hospitalization was found in older patients waiting overnight in the ED for admission. Nonetheless, all estimations suggest a potential harmful effect of staying overnight, especially if a proper bedroom and hospitalist ward bed and hospitalized care are not provided.

Tachypnea in response to hypoxemia decreases with age in older patients.

AIM: To investigate if tachypneic response to hypoxia is decreased in older patients. METHODS: We included all patients ≥65 years of age attending 52 Spanish emergency departments (EDs) for whom peripheral arterial oxygen saturation (SatO2) measured by pulsioxymetry and respiratory rate (RR) were registered at ED arrival. We assessed the relationship between SatO2 and RR in different models, and with the best-fitting model, we independently analyzed this relationship in four subgroups according to patient age (65-69, 70-79, 80-89, and ≥90 years). Five sensitivity analyses using different subsets of patients were carried out to check for the consistency of the results. RESULTS: We included 7126 patients, with medians for SatO2 and RR of 97% (interquartile range [IQR]: 94-98) and 15 bpm (IQR: 15-16), respectively. We found significant associations (P < 0.001) between SatO2 and RR in every model tested (P < 0.001 for all), with the quadratic model obtaining the best fit (R2: 0.098) over those obtained with linear (R2: 0.096) and logarithmic (R2: 0.092) models. The same was observed in sensitivity analyses, with R2 for quadratic models ranging from 0.069 in patients with low comorbidity and 0.102 in patients breathing room air. The mean RR for 100% SatO2 was 15 bpm and increased as SatO2 decreased, although with a progressive slowing of the slope, with a mean RR of 27 at 50% SatO2. We detected a decreased RR response to increasing hypoxemia according to age and, while the RR curve was higher and with a progressively steepening slope in the 972 patients aged 65-69 (mean RR of 42 bpm with 50% SatO2), a progressive slowing of slope was observed in the 2693 patients aged 70-79 (mean RR of 28 with 50% SatO2), the 2582 aged 80-89 (mean RR of 25) and the 879 aged ≥90 (mean RR of 23). Sensitivity analyses provided very similar results. CONCLUSION: Tachypneic response to hypoxemia in older patients decreases as age advances, regardless of the reason leading to hypoxemia. Geriatr Gerontol Int 2024; ••: ••-••.

Thirty-day outcomes in frail older patients discharged home from the emergency department with acute heart failure: effects of high-risk criteria identified by the DEED FRAIL-AHF trial. / Resultados a 30 días en los pacientes mayores frágiles con insuficiencia cardiaca aguda dados de alta desde urgencias o sus unidades vinculadas que cumplen los criterios de alto riesgo del estudio DEED FRAIL-AHF.

OBJECTIVES: To study the effect of high-risk criteria on 30-day outcomes in frail older patients with acute heart failure (AHF) discharged from an emergency department (ED) or an ED's observation and short-stay areas. MATERIAL AND METHODS: Secondary analysis of discharge records in the Older AHF Key Data registry. We selected frail patients (aged > 70 years) discharged with AHF from EDs. Risk factors were categorized as modifiable or nonmodifiable. The outcomes were a composite endpoint for a cardiovascular event (revisits for AHF, hospitalization for AHF, or cardiovascular death) and the number of days alive out-of-hospital (DAOH) within 30 days of discharge. RESULTS: We included 380 patients with a mean (SD) age of 86 (5.5) years (61.2% women). Modifiable risk factors were identified in 65.1%, nonmodifiable ones in 47.8%, and both types in 81.6%. The 30-day cardiovascular composite endpoint occurred in 83 patients (21.8%). The mean 30-day DAOH observed was 27.6 (6.1) days. Highrisk factors were present more often in patients who developed the cardiovascular event composite endpoint: the rates for patients with modifiable, nonmodifiable, or both types of risk were, respectively, as follows in comparison with patients not at high risk: 25.0% vs 17.2%, P = .092; 27.6% vs 16.7%, P = .010; and 24.7% vs 15.2%, P = .098). The 30-day DAOH outcome was also lower for at-risk patients, according to type of risk factor present: modifiable, 26.9 (7.0) vs 28.4 (4.4) days, P = .011; nonmodifiable, 27.1 (7.0) vs 28.0 (5.0) days, P = .127; and both, 27.1 (6.7) vs 28.8 (3.4) days, P = .005). After multivariate analysis, modifiable risk remained independently associated with fewer days alive (adjusted absolute difference in 30-day DAOH, -1.3 days (95% CI, -2.7 to -0.1 days). Nonmodifiable factors were associated with increased risk for the 30-day cardiovascular composite endpoint (adjusted absolute difference, 10.4%; 95% CI, -2.1% to 18.7%). CONCLUSION: Risk factors are common in frail elderly patients with AHF discharged home from hospital ED areas. Their presence is associated with a worse 30-day prognosis.

OBJETIVO: Estudiar el efecto a 30 días de los criterios de alto riesgo (CAR) en los mayores frágiles con insuficiencia cardiaca aguda (ICA) dados de alta desde urgencias o unidades vinculadas (URG_UV). METODO: Análisis secundario del registro OAK-Discharge. Se seleccionaron pacientes frágiles 70 años con ICA dados de alta desde URG_UV. Los CAR se clasificaron en modificables (CAR_M) y no modificables (CAR_NM). Las variables de resultado fueron la compuesta cardiovascular (VC_CV) (revisita u hospitalización por ICA o mortalidad cardiovascular) y días vivos fuera del hospital (DVFH) a 30 días del alta. RESULTADOS: Se incluyeron 380 pacientes con una edad media de 86 (DE 5,5) años, 61,2% mujeres. Un 65,1% tuvo CAR_M, 47,8% CAR_NM y 81,6% ambos. Ochenta y tres pacientes (21,8%) presentaron la VC_CV a 30 días. La media de DVFH a 30 días fue de 27,6 (DE 6,1) días. La presencia de CAR modificable, no modificable o ambos, se asoció más frecuentemente a la VC_CV a 30 días (25,0% vs 17,2%, p = 0,092; 27,6% vs 16,7%, p = 0,010; 24,7% vs 15,2%, p = 0,098) y a menos DVFH a 30 días [26,9 (7,0) vs 28,4 (4,4), p = 0,011; 27,1 (7,0) vs 28,0 (5,0), p = 0,127; 27,1 (6,7) vs 28,8 (3,4), p = 0,005], respectivamente. Tras el análisis multivariante, los CAR_M se asociaron de forma independiente con menos DVFH a 30 días (diferencia absoluta ajustada ­1,3 días; IC 95% ­2,7 a ­0,1) y los CAR_NM con más eventos en la VC_CV a 30 días (diferencia absoluta ajustada 10,4%; IC 95% 2,1% a 18,7%). CONCLUSIONES: Los CAR son frecuentes en los mayores frágiles con ICA dados de alta desde URG_UV y su presencia se asocia a peores resultados a 30 días tras alta.

[Analysis of Spanish research collaboration in emergency medicine: 2010-2014]. / Análisis de redes de colaboración españolas en la investigación en Medicina de Urgencias y Emergencias (2010-2014).

OBJECTIVES: To describe the structure of the Spanish emergency medicine research network or networks, researchers' roles, and patterns of collaboration between hospitals. MATERIAL AND METHODS: The search for publications was carried out in the SCOPUS database for the 5-year period of 2010 to 2014. We used network analysis software to map ties between researchers and hospitals that had established at least 5 and 10 relationships, respectively, during the period under study. We calculated indicators of degree of centrality for individual scientists and hospitals and tabulated data for the main authors and centers. RESULTS: We identified 2626 articles with 12 372 different authors at 1134 hospitals in 75 countries. The largest number of international relations were with France, the United States, and the United Kingdom. Authors had established 93 687 connections that allowed us to identify 23 collaborating groups, the largest of which was comprised of 30 individuals. We also found 12 855 connections between hospitals that identified a single subnetwork of collaboration comprised of 19 hospitals, 1 of which was in Switzerland. Measures of centrality, intermediation, and proximity led to classification of the most important members of author and hospital networks. CONCLUSION: This analysis of research networks in emergency medicine has afforded the first details describing the relationships maintained by Spanish scientists and hospitals.

OBJETIVO: Estudio descriptivo que investiga cómo se estructura la red o redes de investigación en Medicina de Urgencias y Emergencias (MUE) en España, establece el rol de cada investigador, así como describe la red de colaboración entre los hospitales españoles dentro de esta especialidad médica. METODO: Se realizó una búsqueda en la base de datos SCOPUS® para el quinquenio 2010-2014. Mediante programas específicos de análisis de redes se dibujaron las redes de investigadores y de hospitales, bajo la condición de haber establecido al menos 5 y 10 relaciones, respectivamente, durante el periodo. Para investigadores y hospitales se calcularon los indicadores de centralidad de grado, cercanía e intermediación, y se tabularon los principales autores y centros. RESULTADOS: Se identificaron 2.626 artículos de 12.372 autores diferentes y 1.134 hospitales distintos de 75 países. El mayor número de relaciones internacionales se establecieron con Francia, Estados Unidos y Reino Unido. Los autores establecieron 93.687 conexiones que permitieron identificar 23 grupos de colaboración, el mayor formado por 30 integrantes. Además, se establecieron 12.855 conexiones entre hospitales, que permitieron identificar una única subred de colaboración formada por 19 hospitales, 1 de ellos suizo. Mediante los indicadores de centralidad, intermediación y cercanía se pudo establecer una clasificación de aquellos elementos más relevantes dentro de las redes de autores y hospitales. CONCLUSIONES: El análisis de redes de la investigación en MUE ha permitido conocer por vez primera al detalle las relaciones que se establecen entre investigadores y hospitales españoles.