Usefulness of combining inflammatory biomarkers and clinical scales in an emergency department to stratify risk in patients with infections. / Utilidad de la combinación de biomarcadores de respuesta inflamatoria y escalas clínicas para la estratificación del riesgo en pacientes atendidos en urgencias por sospecha de infección.

OBJECTIVES: To determine whether combining biomarkers of inflammatory response and clinical scales can improve risk stratification of patients with suspected infection in a hospital emergency department (ED). MATERIAL AND METHODS: Prospective observational study of ED patients treated for infections. We collected the following information on arrival: demographic and baseline clinical data, comorbidities, the focus of infection, and values for the following inflammatory biomarkers: leukocyte counts, and C-reactive protein, procalcitonin, and midregional proadrenomedullin (MR-proADM) concentrations. Scores on the following clinical scales were recorded based on the variables gathered: the SIRS (Systemic Inflammatory Response Syndrome) criteria, the qSOFA (Quick Sequential Organ Failure Assessment), and the NEWS (National Early Warning Score). The main outcome was a composite measure that included 30-day death or need for intensive care unit (ICU) admission. RESULTS: A total of 473 patients with a mean (SD) age of 70.3 (19.2) years were included. The majority were men (257, 54.3%). Thirty-one (6.6%) died within 30 days and 16 (3.4%) were admitted to the ICU. The composite outcome (death or ICU admission) occurred in 45 patients (9.5%). The MR-proADM concentration, with an area under the receiver operating characteristic curve of 0.739 (95% CI, 0671-0.809) was a better predictor than the other biomarkers or clinical scales, although the differences between MR-proADM and either lactate concentration or the NEWS were not significant in the comparisons (P = .064). Combining the MR-proADM concentration with any of the scales did not significantly improve risk prediction. CONCLUSION: Risk stratification of patients with infection is a key part of ED decision-making. MR-proADM concentration is superior to other biomarkers and clinical prediction scales for predicting short-term prognosis in the ED. Combining MR-proADM measurement with other scales or measures does not improve the yield.

OBJETIVO: Investigar si la combinación de biomarcadores de respuesta inflamatoria (BMRI) y escalas clínicas mejora la estratificación pronóstica de pacientes atendidos en servicios de urgencias hospitalarios (SUH) por sospecha de infección. METODO: Estudio analítico, observacional y prospectivo que incluyó pacientes con sospecha de infección atendidos en un SUH. Se recogieron variables demográficas, comorbilidades, datos clínicos a la llegada al SUH, foco de infección y los siguientes BMRI: leucocitos, proteína C reactiva, procalcitonina, lactato y región medial de la proadrenomodulina (MR-proADM). Se calcularon los valores de las escalas SIRS (síndrome de respuesta inflamatoria sistémica), qSOFA (quick Sequential Organ Failure Assessment) y NEWS (National Early Warning Score). La variable de resultado principal fue una compuesta que incluía mortalidad a 30 días o necesidad de ingreso en la unidad de cuidados intensivos (UCI). RESULTADOS: Se incluyeron 473 pacientes, con una edad media de 70 (DE 19) años y el 54,3% (257). Hubo 31 fallecimientos (6,6%) y 16 (3,4%) ingresos en UCI. La variable de resultado se produjo en 45 (9,5%) pacientes. La MR-proADM mostró la mejor área bajo la curva de la característica operativa del receptor (ABC-COR) en comparación con el resto de biomarcadores y escalas clínicas [0,739 (IC 95% 0,671-0,809)], aunque sin diferencias respecto a lactato (p = 0,144) ni a la escala NEWS (p = 0,064). Al combinar MR-proADM con los diferentes biomarcadores y escalas clínicas, no se obtuvo ninguna combinación que mejore significativamente la precisión pronóstica individual del MR-proADM. CONCLUSIONES: La estratificación del riesgo de los pacientes con infección es una cuestión clave para la toma de decisiones en los SUH. La determinación de MR-proADM supera a otros BMRI y escalas clínicas para la estratificación pronóstica de los pacientes a corto plazo en los SUH. La combinación con otros biomarcadores o escalas clínicas no mejora su capacidad pronóstica.

[Negative stereotypes of old age in new resident medical interns]. / Estereotipos negativos de la vejez en los nuevos médicos internos residentes.

OBJECTIVES: To determine the presence of negative stereotypes of old age in new medical intern residents (MIR) of the Community of Madrid. MATERIAL AND METHODS: A descriptive cross-sectional survey study of first year MIRs was carried out anonymously during the process of registration at the Madrid College of Physicians between 25/03 and 26/05 of 2023. The Questionnaire of Negative Stereotypes towards Old Age (CENVE) and the Let's Fight All Together Against Ageism (LTJCE) survey were used. RESULTS: A total of 829 new MIRs were included, with a mean age of 26.0 (standard deviation [SD]=3.5) years. According to the LTJCE survey, 29.1% consider that in general older people are similar to each other; 47.5%, that deterioration of health in old age is inevitable, 26.8% that old age begins at 60 years; 30.5%, that age per se is a determinant when making clinical decisions and 31.0%, that aging is an obstacle that we must overcome in order to lead a healthy life. The mean total score of the CENVE scale (range 15-60) was 28.3 (SD=7.0) and the means of the different factors (range 5-20) were 8.6 (SD=2.8) for health; 9.8 (SD=2.6) for motivational-social; 10.0 (SD=2.7) for character-personality. CONCLUSIONS: Most new MIRs do not present old age-related stereotypes.

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.

Impact of the MEESSI-AHF tool to guide disposition decision-making in patients with acute heart failure in the emergency department: a before-and-after study.

OBJECTIVES: To determine the impact of risk stratification using the MEESSI-AHF (Multiple Estimation of risk based on the Emergency department Spanish Score In patients with acute heart failure) scale to guide disposition decision-making on the outcomes of ED patients with acute heart failure (AHF), and assess the adherence of emergency physicians to risk stratification recommendations. METHODS: This was a prospective quasi-experimental study (before/after design) conducted in eight Spanish EDs which consecutively enrolled adult patients with AHF. In the pre-implementation stage, the admit/discharge decision was performed entirely based on emergency physician judgement. During the post-implementation phase, emergency physicians were advised to 'discharge' patients classified by the MEESSI-AHF scale as low risk and 'admit' patients classified as increased risk. Nonetheless, the final decision was left to treating emergency physicians. The primary outcome was 30-day all-cause mortality. Secondary outcomes were days alive and out of hospital, in-hospital mortality and 30-day post-discharge combined adverse event (ED revisit, hospitalisation or death). RESULTS: The pre-implementation and post-implementation cohorts included 1589 and 1575 patients, respectively (median age 85 years, 56% females) with similar characteristics, and 30-day all-cause mortality was 9.4% and 9.7%, respectively (post-implementation HR=1.03, 95% CI=0.82 to 1.29). There were no differences in secondary outcomes or in the percentage of patients entirely managed in the ED without hospitalisation (direct discharge from the ED, 23.5% vs 24.4%, OR=1.05, 95% CI=0.89 to 1.24). Adjusted models did not change these results. Emergency physicians followed the MEESSI-AHF-based recommendation on patient disposition in 70.9% of cases (recommendation over-ruling: 29.1%). Physicians were more likely to over-rule the recommendation when 'discharge' was recommended (56.4%; main reason: need for hospitalisation for a second diagnosis) than when 'admit' was recommended (12.8%; main reason: no appreciation of severity of AHF decompensation by emergency physician), with an OR for over-ruling the 'discharge' compared with the 'admit' recommendation of 8.78 (95% CI=6.84 to 11.3). CONCLUSIONS: Implementing the MEESSI-AHF risk stratification tool in the ED to guide disposition decision-making did not improve patient outcomes.

Ten Issues for Updating in Community-Acquired Pneumonia: An Expert Review.

Community-acquired pneumonia represents the third-highest cause of mortality in industrialized countries and the first due to infection. Although guidelines for the approach to this infection model are widely implemented in international health schemes, information continually emerges that generates controversy or requires updating its management. This paper reviews the most important issues in the approach to this process, such as an aetiologic update using new molecular platforms or imaging techniques, including the diagnostic stewardship in different clinical settings. It also reviews both the Intensive Care Unit admission criteria and those of clinical stability to discharge. An update in antibiotic, in oxygen, or steroidal therapy is presented. It also analyzes the management out-of-hospital in CAP requiring hospitalization, the main factors for readmission, and an approach to therapeutic failure or rescue. Finally, the main strategies for prevention and vaccination in both immunocompetent and immunocompromised hosts are reviewed.

Comparing the utility of clinical risk scores and integrated clinical judgement in patients with suspected acute coronary syndrome.

AIMS: The utility of clinical risk scores regarding the prediction of major adverse cardiac events (MACE) is uncertain. We aimed to directly compare the prognostic performance of five established clinical risk scores as well as an unstructured integrated clinical judgement (ICJ) of the treating emergency department (ED) physician. METHODS AND RESULTS: Thirty-day MACE including all-cause death, life-threatening arrhythmia, cardiogenic shock, acute myocardial infarction (including the index event), and unstable angina requiring urgent coronary revascularization were centrally adjudicated by two independent cardiologists in patients presenting to the ED with acute chest discomfort in an international multicentre study. We compared the prognostic performance of the HEART score, GRACE score, T-MACS, TIMI score, and EDACS, as well as the unstructured ICJ of the treating ED physician (visual analogue scale to estimate the probability of acute coronary syndrome, ranging from 0 to 100). Among 4551 eligible patients, 1110/4551 patients (24.4%) had at least one MACE within 30 days. Prognostic accuracy was high and comparable for the HEART score, GRACE score, T-MACS, and ICJ [area under the receiver operating characteristic curve (AUC) 0.85-0.87] but significantly lower and only moderate for the TIMI score (AUC 0.79, P < 0.001) and EDACS (AUC 0.74, P < 0.001), resulting in sensitivities for the rule-out of 30-day MACE of 93-96, 87 (P < 0.001), and 72% (P < 0.001), respectively. CONCLUSION: The HEART score, GRACE score, T-MACS, and unstructured ICJ of the treating physician, not the TIMI score or EDACS, performed well for the prediction of 30-day MACE and may be considered for routine clinical use. TRIAL REGISTRATION: ClinicalTrials.gov number NCT00470587.

Decisions to admit vs. discharge patients with acute heart failure from the emergency department: consistency with a measure of severity of decompensation and the impact on prognosis. / Decisión de hospitalización o alta en pacientes con insuficiencia cardiaca aguda en urgencias, su adecuación con la gravedad de la descompensación e impacto pronóstico.

OBJECTIVES: To analyze the consistency between decisions to discharge or admit patients with acute heart failure (AHF) treated in emergency departments (EDs) and the level of risk of adverse events, and to analyze the impact of decisions to discharge patients. MATERIAL AND METHODS: Prospective study of baseline clinical data collected from patients diagnosed with AHF in 16 Spanish emergency departments. Patients were stratified by severity of decompensated AHF based on MEESSI assessment (Multiple Estimation of Risk Based on the Spanish Emergency Department Score). The distribution of severity was described for patients who were hospitalized (overall and for departments receiving the largest number of admissions) and for discharged patients. We analyzed the data for discharged patients for associations with the following quality-of-care indicators: all-cause mortality of less than 2% at 30 days, revisits to the ED for AHF in less than 10% of patients within 7 days of discharge, and revisits to the ED or admission for AHF in less than 20% within 30 days of discharge. RESULTS: We included 2855 patients with a median (interquartile range) age of 84 (76-88) years. Fifty-four percent were women, 1042 (36.5%) were classified as low risk, 1239 (43.4%) as intermediate risk, 301 (10.5%) as high risk, and 273 (9.6%) as very high risk. Thirty-day mortality rates by level of low to very high risk were 1.9%, 9.3%, 15.3%, and 38.4%, respectively. One-year mortality rates by risk level were 15.4%, 35.6%, 52.0%, and 74.2%. Admission rates by risk level were 62.2%, 77.4%, 87.0%, and 88.3%. Overall, 47.1% o patients discharged from the ED were in the 3 higher-risk categories (intermediate to very high), and 30.7% were in the lowest risk category. The 5 hospital areas receiving the most admissions, in order of lowest-to-highest risk classification, were internal medicine, the short-stay unit, cardiology, intensive care, and geriatrics. Rates and 95% CIs for quality-of-care indicators in patients discharged from EDs were as follows: 30-day mortality, 4.3% (3.0%-6.1%); ED revisits within 7 days, 11.4% (9.2%-14.0%), and ED revisits or admissions within 30 days, 31.5% (28.0%-35.1%). In patients classified as low risk on ED discharge, these percentages were lower, as follows, respectively: 0.5% (0.1%-1.8%), 10.5% (7.6%-14.0%), and 29.5% (26.6%-32.6%). CONCLUSION: We detected disparity between severity of AHF decompensation and the decision to discharge or admit patients. Outcomes in patients discharged from EDs do not reach the recommended quality-of-care standards. Reducing inconsistencies between severity of decompensation and ED decisions could help to improve quality targets.

OBJETIVO: Analizar cómo se ajusta la decisión de ingreso o alta del paciente con insuficiencia cardiaca aguda (ICA) atendido en urgencias a su riesgo de evento adverso, así como su impacto en el pronóstico en aquellos dados de alta desde urgencias. METODO: Se recogieron datos basales y clínicos de pacientes diagnosticados de ICA en 16 servicios de urgencias españoles. Los pacientes se estratificaron según la gravedad de la descompensación mediante la escala MEESSI y se analizó la distribución de dicha gravedad en hospitalizados (en conjunto, e individualmente para los servicios con mayor número de hospitalizaciones) y dados de alta desde urgencias. En este último grupo, se analizó el cumplimiento de los siguientes indicadores de calidad: mortalidad por cualquier causa a 30 días ( 2%), reconsulta a urgencias por ICA a 7 días posalta ( 10%), y reconsulta a urgencias u hospitalización por ICA a 30 días posalta ( 20%). RESULTADOS: Se incluyeron 2.855 pacientes (edad mediana = 84 años, RIC = 76-88; mujeres = 54%): 1.042 pacientes (36,5%) de riesgo bajo, 1.239 (43,4%) intermedio, 301 (10,5%) alto y 273 (9,6%) muy alto. La mortalidad a 30 días por categorías de riesgo fue 1,9%, 9,3%, 15,3% y 38,4%, respectivamente; la mortalidad al año 15,4%, 35,6%, 52,0% y 74,2%; y la hospitalización 62,2%, 77,4%, 87,0% y 88,3%. El 47,1% de pacientes dados de alta de urgencias tenía un riesgo incrementado (intermedio, alto o muy alto) y el 30,7% de hospitalizados eran de bajo riesgo. La gravedad de la descompensación según el servicio de hospitalización se incrementaba en el siguiente orden: medicina interna, corta estancia, cardiología, intensivos y geriatría. El 4,3% de pacientes dados de alta de urgencias (IC 95%: 3,0-6,1) falleció a los 30 días, el 11,4% (9,2-14,0) reconsultó en urgencias a los 7 días, y el 31,5% (28,0-35,1) reconsultó en urgencias o se hospitalizó a los 30 días. Si sólo se consideran los pacientes dados de alta de bajo riesgo, estos porcentajes descienden al 0,5% (0,1-1,8), 10,5% (7,6-14,0) y 29,5% (26,6-32,6), respectivamente. CONCLUSIONES: Existe disparidad entre la gravedad de la descompensación y la decisión en urgencias de hospitalizar o dar de alta a los pacientes con ICA. Los resultados que se obtienen en los pacientes dados de alta desde urgencias no alcanzan los estándares de calidad recomendados. Disminuir las incongruencias entre gravedad de la descompensación y toma de decisión podría contribuir a cumplir con estos estándares.

Performance of 3 frailty scales for predicting adverse outcomes at 30 days in older patients discharged from emergency departments. / Rendimiento de tres escalas de fragilidad para predecir resultados adversos a 30 días en los pacientes mayores dados de alta en los servicios de urgencias.

OBJECTIVES: To compare the ability of 3 frailty scales (the Clinical Frailty Scale [CFS], the Functional Index - eMergency [FIM], and the Identification of Seniors at Risk [ISAR] scale) to predict adverse outcomes at 30 days in older patients discharged from hospital emergency departments (EDs). MATERIAL AND METHODS: Secondary analysis of data from the FRAIL-Madrid registry of patients aged 75 years or older who were discharged from Madrid EDs over a period of 3 months in 2018 and 2019. Frailty was defined by a CFS score over 4, a FIM score over 2, or an ISAR score over 3. The outcome variables were revisits to an ED, hospitalization, functional decline, death, and a composite variable of finding any of the previously named variables within 30 days of discharge. RESULTS: A total of 619 patients were studied. The mean (SD) age was 84 (7) years, and 59.1% were women. The CFS identified as frail a total of 339 patients (54.8%), the FIM 386 (62.4%), and the ISAR 301 (48.6%). An adverse outcome occurred within 30 days in 226 patients (36.5%): 21.5% revisited, 12.6% were hospitalized, 18.4% experienced functional decline, and 3.6% died. The areas under the receiver operating characteristic curves were as follows: CFS, 0.66 (95% CI, 0.62-0.70; P = .022); FIM, 0.67 (95% CI, 0.62-0.71; P = .021), and ISAR, 0.64 (95% CI, 0.60-0.69; P = .023). Adjusted odds ratios (aOR) showed that frailty was an independent risk factor for presenting any of the named adverse outcomes: aOR for CFS >4, 3.18 (95% CI, 2.02-5.01), P .001; aOR for FIM > 2, 3.49 (95% CI, 2.15-5.66), P .001; and aOR for ISAR >3, 2.46 (95% CI, 1.60-3.79), P .001. CONCLUSION: All 3 scales studied - the CFS, the FIM and the ISAR - are useful for identifying frail older patients at high risk of developing an adverse outcome (death, functional decline, hospitalization, or revisiting the ED) within 30 days after discharge.

OBJETIVO: Comparar la capacidad de tres escalas de fragilidad, Clinical Frailty Scale (CFS), Functional Index ­ eMergency (FIM) e Identification Senior at Risk (ISAR), para predecir resultados adversos (RA) a 30 días en los pacientes mayores dados de alta desde el servicio de urgencias hospitalario (SUH). METODO: Análisis secundario del registro FRAIL-Madrid que incluyó pacientes 75 años dados de alta de 10 SUH de Madrid durante un periodo de 3 meses entre 2018 y 2019. Se definió fragilidad como CFS 4, FIM 2 e ISAR 3. Las variables de resultado fueron revisita en urgencias, hospitalización, deterioro funcional, muerte y la variable compuesta por algún RA de los anteriores en los 30 días posteriores al alta del SUH. RESULTADOS: Se incluyeron 619 pacientes, la edad media fue de 84 años (DE 7), 59,1% eran mujeres. Hubo 339 pacientes (54,8%) identificados como frágiles en el SUH según CFS 4, 386 (62,4%) según FIM 2 y 301 (48,6%) según ISAR 3. Hubo 226 pacientes (36,5%) que presentaron algún RA a los 30 días tras el alta (21,5% revisita, 12,6% hospitalización,18,4% deterioro funcional y 3,6% muerte). El área bajo la curva (ABC) de la escala CFS fue de 0,66 (0,62-0,70; p = 0,022), de FIM 0,67 (0,62-0,71; p = 0,021) y de ISAR 0,64 (0,60-0,69; p = 0,023). La presencia de fragilidad fue un factor independiente de presentar algún RA a los 30 días tras el alta (CFS 4 ORa 3,18 [IC 95% 2,02-5,01, p 0,001], FIM 2 ORa 3,49 [IC 95% 2,15-5,66, p 0,001] e ISAR 3 ORa 2,46 [IC 95% 1,60-3,79, p 0,001]). CONCLUSIONES: Las tres escalas estudiadas ­CFS, FIM, ISAR­ son útiles y tienen una capacidad similar para identificar al paciente mayor frágil dado de alta del SUH con alto riesgo de presentar RA (muerte, deterioro funcional, hospitalización o revisita al SUH) a los 30 días.

Sex differences in mortality of older adults with falls after emergency department consultation: FALL-ER registry.

BACKGROUND: To investigate if sex is a risk factor for mortality in patients consulting at the emergency department (ED) for an unintentional fall. METHODS: This was a secondary analysis of the FALL-ER registry, a cohort of patients ≥65 years with an unintentional fall presenting to one of 5 Spanish EDs during 52 predefined days (one per week during one year). We collected 18 independent patient baseline and fall-related variables. Patients were followed for 6 months and all-cause mortality recorded. The association between biological sex and mortality was expressed as unadjusted and adjusted hazard ratios (HR) with the 95% confidence interval (95% CI), and subgroup analyses were performed by assessing the interaction of sex with all baseline and fall-related mortality risk variables. RESULTS: Of 1315 enrolled patients (median age 81 years), 411 were men (31%) and 904 women (69%). The 6-month mortality was higher in men (12.4% vs. 5.2%, HR = 2.48, 95% CI = 1.65-3.71), although age was similar between sexes. Men had more comorbidity, previous hospitalizations, loss of consciousness, and an intrinsic cause for falling. Women more frequently lived alone, with self-reported depression, and the fall results in a fracture and immobilization. Nonetheless, after adjustment for age and these eight divergent variables, older men aged 65 and over still showed a significantly higher mortality (HR = 2.19, 95% CI = 1.39-3.45), with the highest risk observed during the first month after ED presentation (HR = 4.18, 95% CI = 1.31-13.3). We found no interaction between sex and any patient-related or fall-related variables with respect to mortality (p > 0.05 in all comparisons). CONCLUSIONS: Male sex is a risk factor for death following ED presentation for a fall in the older population adults aged 65 and over. The causes for this risk should be investigated in future studies.

[Analysis of the relationship between ambient air pollution and the severity of heart failure decompensations in two Spanish metropolises (Barcelona and Madrid)]. / Análisis de la relación entre la contaminación del aire ambiente y la gravedad de las descompensaciones por insuficiencia cardiaca en dos metrópolis españolas (Barcelona y Madrid).

OBJECTIVES: To analyze whether the high levels of air pollutants are related to a greater severity of decompensated heart failure (HF). METHOD: Patients diagnosed with decompensated HF in the emergency department of 4 hospitals in Barcelona and 3 in Madrid were included. Clinical data (age, sex, comorbidities, baseline functional status), atmospheric (temperature, atmospheric pressure) and pollutant data (SO2, NO2, CO, O3, PM10, PM2.5) were collected in the city on the day of emergency care. The severity of decompensation was estimated using 7-day mortality (primary indicator) and the need for hospitalization, in-hospital mortality, and prolonged hospitalization (secondary indicators). The association adjusted for clinical, atmospheric and city data between pollutant concentration and severity was investigated using linear regression (linearity assumption) and restricted cubic spline curves (no linearity assumption). RESULTS: A total of 5292 decompensations were included, with a median age of 83 years (IQR=76-88) and 56% women. The medians (IQR) of the daily pollutant averages were: SO2=2.5µg/m3 (1.4-7.0), NO2=43µg/m3 (34-57), CO=0.48mg/m3 (0.35-0.63), O3=35µg/m3 (25-48), PM10=22µg/m3 (15-31) and PM2.5=12µg/m3 (8-17). Mortality at 7 days was 3.9%, and hospitalization, in-hospital mortality, and prolonged hospitalization were 78.9, 6.9, and 47.5%, respectively. SO2 was the only pollutant that showed a linear association with the severity of decompensation, since each unit of increase implied an OR for the need for hospitalization of 1.04 (95% CI 1.01-1.08). The restricted cubic spline curves study also did not show clear associations between pollutants and severity, except for SO2 and hospitalization, with OR of 1.55 (95% CI 1.01-2.36) and 2.71 (95% CI 1.13-6.49) for concentrations of 15 and 24µg/m3, respectively, in relation to a reference concentration of 5µg/m3. CONCLUSION: Exposure to ambient air pollutants, in a medium to low concentration range, is generally not related to the severity of HF decompensations, and only SO2 may be associated with an increased need for hospitalization.

Emergency department direct discharge compared to short-stay unit admission for selected patients with acute heart failure: analysis of short-term outcomes.

Short stay unit (SSU) is an alternative to conventional hospitalization in patients with acute heart failure (AHF), but the prognosis is not known compared to direct discharge from the emergency department (ED). To determine whether direct discharge from the ED of patients diagnosed with AHF is associated with early adverse outcomes versus hospitalization in SSU. Endpoints, defined as 30-day all-cause mortality or post-discharge adverse events, were evaluated in patients diagnosed with AHF in 17 Spanish EDs with an SSU, and compared by ED discharge vs. SSU hospitalization. Endpoint risk was adjusted for baseline and AHF episode characteristics and in patients matched by propensity score (PS) for SSU hospitalization. Overall, 2358 patients were discharged home and 2003 were hospitalized in SSUs. Discharged patients were younger, more frequently men, with fewer comorbidities, had better baseline status, less infection, rapid atrial fibrillation and hypertensive emergency as the AHF trigger, and had a lower severity of AHF episode. While their 30-day mortality rate was lower than in patients hospitalized in SSU (4.4% vs. 8.1%, p < 0.001), 30-day post-discharge adverse events were similar (27.2% vs. 28.4%, p = 0.599). After adjustment, there were no differences in the 30-day risk of mortality of discharged patients (adjusted HR 0.846, 95% CI 0.637-1.107) or adverse events (1.035, 0.914-1.173). In 337 pairs of PS-matched patients, there were no differences in mortality or risk of adverse event between patients directly discharged or admitted to an SSU (0.753, 0.409-1.397; and 0.858, 0.645-1.142; respectively). Direct ED discharge of patients diagnosed with AHF provides similar outcomes compared to patients with similar characteristics and hospitalized in a SSU.

Hospital development of heart failure follow-up units and short-term prognosis after acute decompensation in Spain.

OBJECTIVE: To investigate whether the existence of heart failure units (HFU) and link nurse units (LNU) in the hospital improve short-term outcomes of acute heart failure (AHF) episodes. METHODS: Patients with AHF diagnosed in 45 Spanish emergency departments were analysed according to whether the hospital had a complete development of follow-up units (HFU + LNU), partial (HFU or LNU) or none. The outcomes were: 30-day mortality, hospitalization, in-hospital mortality, >7 days admission, and adverse event (death, rehospitalisation, or reconsultation to the emergency department) at 30 days post-discharge. Outcomes were adjusted for baseline and AHF episode characteristics. RESULTS: 19,947 patients were included, median age was 82 years (IQR 76--87), women were 55%. It was 20% of patients attended in hospitals with null development, 28% with partial development and 52% with complete development. Mortality at 30 days was 10.1% (null/partial/complete development: 10.5%/9.5%/10.4%; p=0.880), hospitalization 74.6% (72.7%/72.7%/75.7%; p<0.001), in-hospital mortality 7.4% (7.6%/7.0%/7.5%; p=0.995), prolonged hospitalization 47.4% (51.1%/52.4%/43.5%; p<0.001) and adverse events 30 days post-hospitalization 30.3% (36.2%/28.9%/30.3%; p < 0.001). In the adjusted analysis, hospital with complete development of follow-up units was not associated with mortality, but with increased hospitalization (OR= 1.172; 95%CI 1.069-1.285) and lower prolonged hospitalization (OR = 0.725; 95%CI 0.660-0.797) and adverse events at 30 days post-discharge (OR=0.831; 95%CI 0.755-0.916). Partial development was only associated with decreased post-discharge adverse events (OR= 0.782; 95%CI 0.702-0.871). CONCLUSION: The development of follow-up units is not associated with 30-day mortality, but is associated with less prolonged hospitalization and fewer post-discharge adverse events in patients with AHF.

[Revisit after discharge from the emergency department in a cohort of patients with COVID-19 pneumonia and analysis based on the healthcare resource used for follow-up. RESALSEVID study]. / Análisis de la evolucion tras el alta de urgencias en pacientes con neumonía por COVID-19 en función del recurso sanitario utilizado para el seguimiento: estudio RESALSEVID.

INTRODUCTION: COVID-19 pneumonia is a manifestation of SARS-CoV-2 infection and in most cases involves hospital admission. There are recommendations according to which these patients can be discharged without hospital admission, but there is no evidence regarding the revisit and the most appropriate type of follow-up. The objective of the RESALSEVID study was to investigate the variables associated with the 30-day revisit (Rev30d) in a group of patients discharged directly from 4 emergency departments (ED) with COVID-19 pneumonia, and analyze whether there were differences based on 4 different tracking devices. METHOD: Analysis of a prospective cohort of patients discharged directly from the ED with COVID-19 pneumonia in 4 hospital with different models of follow-up at discharge (primary care, hospitalization at home [HaH] phone and in person, HaH phone, hospital phone). RESULTS: Five hundred twenty patients were included, with a mean age of 50.1 years and 51% men. Rev30d was 18.3% and was related only to immunosuppression, odds ratio 4.49 (95% confidence interval 1.10-18.24); p=0.022. There was no difference in Rev30d based on the follow-up model used at discharge from the ED. CONCLUSIONS: There are some recommendations that allow the safe discharge of patients with COVID-19 pneumonia, with no differences in Rev30d depending on the type of follow-up.

Emergency department observation of patients with acute heart failure prior to hospital admission: impact on short-term prognosis. / Observación en urgencias previa a la hospitalización en pacientes con insuficiencia cardiaca aguda: impacto sobre el pronóstico a corto plazo.

OBJECTIVES: To analyze whether short-term outcomes are affected when patients diagnosed with acute heart failure (AHF) spend time in an emergency department observation unit (EDOU) before hospital admission. MATERIAL AND METHODS: Baseline and emergency episode data were collected for patients diagnosed with AHF in the EDs of 15 Spanish hospitals. We analyzed crude and adjusted associations between EDOU stay and 30-day mortality (primary outcome) and in-hospital mortality and a prolonged hospital stay of more than 7 days (secondary outcomes). RESULTS: A total of 6597 patients with a median (interquartile range) age of 83 (76-88 years) were studied. Fifty-five percent were women. All were hospitalized for AHF (50% in internal medicine wards, 23% in cardiology, 11% in geriatrics, and 16 in other specialties. Of these patients, 3241 (49%) had had EDOU stays and 3350 (51%) had been admitted immediately, with no EDOU stay. Having an EDOU stay was associated with female sex, dementia or chronic obstructive pulmonary disease, long-term treatment with certain drugs for heart failure, greater baseline deterioration in function, and a higher degree of decompensation. Patients in the EDOU group were more often admitted to an internal medicine ward and had shorter stays; cardiology, geriatric, and intensive care admissions were less likely to have had an EDOU stay. Overall, 30-day mortality was 12.6% (13.7% in the EDOU group and 11.4% in the no-EDOU group; P = .004). In-hospital mortality was 10.4% overall (EDOU, 11.1% and no-EDOU, 9.6%; P = .044). Prolonged hospitalization occurred in 50.0% (EDOU, 48.7% and no-EDOU, 51.2%; P = .046). After adjusting for between-group differences, the EDOU stay was not associated with 30-day mortality (hazard ratio, 1.14; 95% CI, 0.99-1.31). Odds ratios for associations between EDOU stay and in-hospital mortality and prolonged hospital stay, respectively, were 1.09 (95% CI, 0.92-1.29) and 0.91 (95% CI, 0.82-1.01). CONCLUSION: Although mortality higher in patients hospitalized for AHF who spend time in an EDO, the association seems to be accounted for by their worse baseline situation and the greater seriousness of the decompensation episode, not by time spent in the EDOU.

OBJETIVO: Analizar si la estancia en el área de observación de urgencias (AOU) de pacientes que han sido diagnosticados de insuficiencia cardiaca aguda (ICA) y que deben ingresar está asociada con algún cambio en la evolución a corto plazo. METODO: Se recogieron datos basales y clínicos de pacientes diagnosticados de ICA en el servicio de urgencias de 15 hospitales españoles. Se analizó la asociación cruda y ajustada de la estancia en el AOU previa a la hospitalización con mortalidad a 30 días (objetivo primario) y con mortalidad intrahospitalaria e ingreso prolongado (> 7 días) (objetivos secundarios). RESULTADOS: Se incluyeron 6.597 pacientes (mediana = 83 años, RIC = 76-88; mujeres = 55%) hospitalizados por ICA (50% en medicina interna, 23% en cardiología, 11% en geriatría y 16% en otros servicios); de ellos, 3.241 (49%) permanecieron en observación en urgencias (grupo AOU) y 3.350 (51%) hospitalizaron sin observación previa (grupo no-AOU). La observación en urgencias se asoció con ser mujer, tener demencia o enfermedad pulmonar obstructiva crónica, recibir crónicamente fármacos específicos para insuficiencia cardiaca, mayor deterioro funcional basal y mayor gravedad de la descompensación. El grupo AOU más frecuentemente hospitalizó en medicina interna y corta estancia, y menos frecuentemente en cardiología, geriatría y cuidados intensivos. La mortalidad a 30 días fue del 12,6% (AOU = 13,7%, no-AOU = 11,4%, p = 0,004); la mortalidad intrahospitalaria fue del 10,4% (AOU = 11,1%, no-AOU = 9,6%, p = 0,044) y el ingreso prolongado del 50,0% (AOU = 48,7%, no-AOU = 51,2%, p = 0,046). Tras ajustar por las diferencias entre grupos, la estancia en observación en urgencias no se asoció con mortalidad a 30 días (HR = 1,14, IC 95% = 0,99-1,31), mortalidad intrahospitalaria (OR = 1,09, IC 95% = 0,92-1,29) o estancia prolongada (OR = 0,91, IC 95% = 0,82-1,01). CONCLUSIONES: Aunque los pacientes hospitalizados por ICA que permanecen en observación en urgencias presentan mayor mortalidad, esta asociación parece explicarse por su peor situación de base y la mayor gravedad del episodio de descompensación y no por su paso por el AOU.

Quality of hospital emergency department care for patients with COVID-19 during the first wave in 2020: the CALUR-COVID-19 study. / Estudio CALUR-COVID-19: calidad asistencial en urgencias del proceso de atención a pacientes con COVID-19 durante el primer pico pandémico de 2020.

OBJECTIVES: To define quality of care indicators and care process standards for treating patients with COVID-19 in hospital emergency departments (EDs), to determine the level of adherence to standards during the first wave in 2020, and to detect factors associated with different levels of adherence. MATERIAL AND METHODS: We selected care indicators and standards by applying the Delphi method. We then analyzed the level of adherence in the SIESTA cohort (registered by the Spanish Investigators in Emergency Situations Team). This cohort was comprised of patients with COVID-19 treated in 62 Spanish hospitals in March and April 2020. Adherence was compared according to pandemic-related ED caseload pressure, time periods during the wave (earlier and later), and age groups. RESULTS: Fourteen quality indicators were identified. Three were adhered to in less than 50% of the patients. Polymerase chain reaction testing for SARS-CoV-2 infection was the indicator most often disregarded, in 29% of patients when the caseload was high vs 40% at other times (P .001) and in 30% of patients in the later period vs 37% in the earlier period (P = .04). Adherence to the following indicators was better in the later part of the wave: monitoring of oxygen saturation (100% vs 99%, P = .035), electrocardiogram monitoring in patients treated with hydroxychloroquine (87% vs 65%, P .001), and avoiding of lopinavir/ritonavir treatment in patients with diarrhea (79% vs 53%, P .001). No differences related to age groups were found. CONCLUSION: Adherence to certain quality indicators deteriorated during ED treatment of patients with COVID-19 during the first wave of the pandemic. Pressure from high caseloads may have exacerbated this deterioration. A learning effect led to improvement. No differences related to patient age were detected.

OBJETIVO: Definir indicadores de calidad y sus estándares para el proceso asistencial del paciente con COVID-19 en servicios de urgencias hospitalarios (SUH), así como determinar su grado de cumplimiento durante el primer pico pandémico e investigar si existieron diferencias en relación con diferentes factores. METODO: Siguiendo la metodología del Delphi, los autores seleccionaron los indicadores y sus estándares. Posteriormente, se analizó el grado de cumplimiento en la cohorte SIESTA, formada por pacientes COVID-19 de 62 SUH españoles atendidos en marzo y abril de 2020. Se comparó el cumplimiento de los indicadores según la presión asistencial generada por la pandemia en el SUH, el periodo asistencial y el grupo etario. RESULTADOS: Se definieron 14 indicadores. Tres de ellos se cumplieron en 50% de los pacientes. La realización de la reacción en cadena de la polimerasa (PCR) para el SARS-CoV-2 tuvo peor cumplimiento en SUH con alta presión (29% frente a 40%, p 0,001) y durante el periodo tardío (30% frente a 37%, p = 0,04). Durante el periodo tardío, mejoró la medida de saturación de oxígeno (100% frente a 99%, p = 0,035), la realización de electrocardiograma en pacientes tratados con hidroxicloroquina (87% frente a 65%, p 0,001) y la no administración de lopinavir-ritonavir en pacientes con diarrea (79% frente a 53%, p 0,001). No hubo diferencias en relación con el grupo etario. CONCLUSIONES: Durante el primer pico pandémico, diversos aspectos de la calidad de la atención a pacientes COVID-19 en los SUH españoles se vieron deteriorados. La presión asistencial pudo incrementar este deterioro. Hubo un efecto de aprendizaje que condicionó una mejora, pero no se observaron diferencias según la edad de los pacientes.

Short-term outcomes by chronic betablocker treatment in patients presenting to emergency departments with acute heart failure: BB-EAHFE.

AIMS: To evaluate the association between chronic treatment with betablockers (BB) and the severity of decompensation and short-term outcomes of patients with acute heart failure (AHF). METHODS AND RESULTS: We consecutively included all patients presenting with AHF to 45 Spanish emergency departments (ED) during six different time-periods between 2007 and 2018. Patients were stratified according to whether they were on chronic treatment with BB at the time of ED consultation. Those receiving BB were compared (adjusted odds ratio-OR-with 95% confidence interval-CI-) with those not receiving BB group in terms of in-hospital and 7-day all-cause mortality, need for hospitalization, and prolonged length of stay (≥7 days). Among the 17 923 recruited patients (median age: 80 years; 56% women), 7795 (43%) were on chronic treatment with BB. Based on the MEESSI-AHF risk score, those on BB were at lower risk. In-hospital mortality was observed in 1310 patients (7.4%), 7-day mortality in 765 (4.3%), need for hospitalization in 13 428 (75.0%), and prolonged length of stay (43.3%). After adjustment for confounding, those on chronic BB were at lower risk for in-hospital all-cause mortality (OR = 0.85, 95% CI = 0.79-0.92, P < 0.001); 7-day all-cause mortality (OR = 0.77, 95% CI = 0.70-0.85, P < 0.001); need for hospitalization (OR = 0.89, 95% CI = 0.85-0.94, P < 0.001); prolonged length of stay (OR = 0.90, 95% CI = 0.86-0.94, P < 0.001). A propensity matching approach yielded consistent findings. CONCLUSION: In patients presenting to ED with AHF, those on BB had better short-term outcomes than those not receiving BB.

Sensitivity of the SNNOOP10 list in the high-risk secondary headache detection.

AIM: To evaluate the diagnostic accuracy of the SNNOOP10 list in the detection of high-risk headaches. METHODS: Patients that visited the Hospital Clínico San Carlos (Madrid) emergency department due to headache that were allocated to a Manchester Triage System level between critical and urgent were prospectively included but retrospectively analysed. A researcher blind to the patients' diagnosis administered a standardised questionnaire and afterwards a neurologist blind to the questionnaire results diagnosed the patient according to the International Classification of Headache Disorders. The primary endpoint was to assess the sensitivity of the SNNOOP10 list in the detection of high-risk headaches. Secondary endpoints included the evaluation of the sensitivity, specificity, positive predictive value, negative predictive value and area under the curve of each SNNOOP10 item. RESULTS: Between April 2015 and October 2021, 100 patients were included. Patients were 44 years old (inter-quartile range: 33.6-64.7) and 57% were female. We identified 37 different diagnoses. Final diagnosis was a primary headache in 33%, secondary headache in 65% and cranial neuralgia in 2%. There were 46 patients that were considered as having high-risk headache. Patients from the primary headache group were younger and more frequently female. Sensitivity of SNNOOP10 list was 100% (95% confidence interval: 90.2%-100%). The items with higher sensitivity were neurologic deficit or disfunction (75.5%), pattern change or recent onset of the headache (64.4%), onset after 50 years (64.4%). The most specific items were posttraumatic onset of headache (94.5%), neoplasm in history (89.1%) and systemic symptoms (89%). The area under the curve of the SNNOOP10 list was 0.66 (95% CI: 0.55-0.76). CONCLUSION: The red flags from the SNNOOP10 list showed a 100% sensitivity in the detection of high-risk headache disorders.

Utilidad del modelo 5MPB-Toledo para predecir bacteriemia en el paciente anciano / Usefulness of the 5MPB-Toledo model to predict bacteremia in the elderly patient

Resumen Objetivo: Analizar la utilidad del modelo predictivo de bacteriemia (5MPB-Toledo) en los mayores de 65 años atendidos por infección en el servicio de urgencias (SU). Material y Método: Estudio observacional prospectivo y multicéntrico de los hemocultivos (HC) obtenidos en pacientes mayores de 65 años atendidos por infección en 66 SU españoles desde el 1 de diciembre de 2019 hasta el 30 de abril de 2020. Se analizó la capacidad predictiva del modelo con el área bajo la curva (ABC) de la característica operativa del receptor (COR) y se calculó el rendimiento diagnóstico de los puntos de corte (PC) del modelo elegido con los cálculos de la sensibilidad, la especificidad, el valor predictivo positivo y el valor predictivo negativo. Resultados: Se incluyeron 2.401 episodios de HC extraídos. De ellos, se consideró como bacteriemia verdadera a 579 (24,11%) y como HC negativo a 1.822 (75,89%). Entre los negativos, 138 (5,74%) se consideraron contaminados. Se categorizó a los pacientes en bajo (0-2 puntos), moderado (3-5 puntos) y alto (6-8 puntos) riesgo, con una probabilidad de bacteriemia de 1,2%, 18,1% y 80,7%, respectivamente. El ABC-COR del modelo tras remuestreo fue de 0,908 (IC 95%: 0,897-0,924). El rendimiento diagnóstico del modelo, considerando un PC ≥ 5 puntos, obtiene una sensibilidad de 94% (IC 95%:92-96), especificidad de 77% (IC 95%:76-79) y un valor predictivo negativo de 97% (IC 95%:96-98). Conclusión: El modelo 5MPB-Toledo es de utilidad para predecir bacteriemia en los mayores de 65 años atendidos en el SU por un episodio de infección.

Abstract Objective: To analyse a risk score to predict bacteremia (MPB5-Toledo) in the patients aged older 65 years seen in the emergency departments (ED) due to infections. Patients and Methods: Prospective and multicenter observational cohort study of the blood cultures (BC) ordered in 66 Spanish ED for patients aged older 65 years seen from December 1, 2019, to April 30, 2020. The predictive ability of the model was analyzed with the area under the Receiver Operating Characteristic curve (AUC-ROC). The prognostic performance for true bacteremia was calculated with the cut-off values chosen for getting the sensitivity, specificity, positive predictive value and negative predictive value. Results: A total of 2.401 blood samples wered cultured. True cases of bacteremia were confirmed in 579 (24.11%). The remaining 1.822 cultures (75.89%) wered negative. And, 138 (5.74%) were judged to be contaminated. Low risk for bacteremia was indicated by a score of 0 to 2 points, intermediate risk by 3 to 5 points, and high risk by 6 to 8 points. Bacteremia in these 3 risk groups was predicted for 1.2%, 18.1%, and 80.7%, respectively. The model´s area under the receiver ope rating characteristic curve was 0.908 (95% CI, 0.897-0.924). The prognostic performance with a model´s cut-off value of ≥ 5 points achieved 94% (95% CI: 92-96) sensitivity, 77% (95% CI: 76-79) specificity, and negative predictive value of 97% (95% CI: 96-98). Conclusion: The 5MPB-Toledo score is useful for predicting bacteremia in the patients aged older 65 years seen in the emergency departments due to infections.

Biomarkers of stable and decompensated phases of heart failure with preserved ejection fraction.

BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is a disorder related to patient comorbidities and aging. Whether mitochondrial dysfunction is present during HFpEF decompensation versus the stable phase is largely unknown. The aim of the present study was to identify mitochondrial and cell metabolism blood biomarkers in older patients with acute and stable HFpEF. METHODS: Peripheral blood biomarkers were investigated in a group of eight to 12 patients aged 80-96 years and diagnosed with HFpEF first when they were in decompensated phase and then at least three months later in stable phase. Their data were compared to two control groups with an equal number of participants and sex proportions. One group was age matched and the other included individuals aged between 22 and 44 years. RESULTS: Decompensated patients experienced an increased mitochondrial superoxide production and mitochondrial mass, lower mitochondrial DNA copy number and LDHB expression, and higher lactate level compared to the stable stage. The stable phase was characterized by a sharp reduction in formate level. Multivariate analysis indicated that formate, lactate, and histidine can distinguish both of the HFpEF phases. Many of these parameters, including LDHB, lactate, formate, and mitochondrial mass, followed an age-related pattern, with acute HFpEF at its apex or nadir, suggesting that it represents an exacerbation of an aging-related process. CONCLUSIONS: We identified distinct blood biomarkers of chronic and decompensated HFpEF phases. The data underlined the relationship between HFpEF and aging. These findings could be used to monitor patients and might be therapeutically targeted.