27 research outputs found

    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

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    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

    Prehospital triage for mass casualty incidents using the META method for early surgical assessment: retrospective validation of a hospital trauma registry

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    Background In mass casualty incidents (MCI), death usually occurs within the first few hours and thus early transfer to a trauma centre can be crucial in selected cases. However, most triage systems designed to prioritize the transfer to hospital of these patients do not assess the need for surgery, in part due to inconclusive evidence regarding the value of such an assessment. Therefore, the aim of the present study was to evaluate the capacity of a new triage system—the Prehospital Advanced Triage Method (META)—to identify victims who could benefit from urgent surgical assessment in case of MCI. Methods Retrospective, descriptive, observational study of a multipurpose cohort of patients included in the severe trauma registry of the Gregorio Marañón University General Hospital (Spain) between June 1993 and December 2011. All data were prospectively evaluated. All patients were evaluated with the META system to determine whether they met the criteria for urgent transfer. The META defines patients in need of urgent surgical assessment: (a) All penetrating injuries to head, neck, torso and extremities proximal to elbow or knee, (b) Open pelvic fracture, (c) Closed pelvic fracture with mechanical or haemodynamic instability and (d) Blunt torso trauma with haemodynamic instability. Patients who fulfilled these criteria were designated as “Urgent Evacuation for Surgical Assessment” (UESA) cases; all other cases were designated as non-UESA. The following variables were assessed: patient status at the scene; severity scales [RTS, Shock index, MGAP (Mechanism, Glasgow coma scale, Age, pressure), GCS]; need for surgery and/or interventional procedure to control bleeding (UESA); and mortality. The two groups (UESA vs. non-UESA) were then compared. Results A total of 1882 cases from the database were included in the study. Mean age was 39.2 years and most (77%) patients were male. UESA patients presented significantly worse on-scene hemodynamic parameters (systolic blood pressure and heart rate) and greater injury severity (RTS, shock index, and MGAP scales). No differences were observed for respiratory rate, need for orotracheal intubation, or GCS scores. The anatomical injuries of patients in the UESA group were less severe but these patients had a greater need for urgent surgery and higher mortality rates. Conclusion These findings suggest that the META triage classification system could be beneficial to help identify patients with severe trauma and/or in need of urgent surgical assessment at the scene of injury in case of MCI. These findings demonstrate that, in this cohort, the META fulfils the purpose for which it was designed.Sin financiación3.693 JCR (2020) Q1, 6/32 Emergency Medicine0.641 SJR (2020) Q2, 30/88 Critical Care and Intensive Care MedicineNo data IDR 2020UE

    Factores asociados al éxito en la restauración del ritmo sinusal en la fibrilación auricular de reciente comienzo (Estudio HERMES-AF)

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    Aunque existe un acuerdo general sobre la conveniencia de intentar la restauración del ritmo sinusal (RS) en la fibrilación auricular (FA) de reciente comienzo, es preciso identificar aquellos grupos de pacientes con menores probabilidades de éxito para establecer estrategias de mejora de la calidad asistencial en los servicios de urgencias hospitalarios (SUH).Sin financiación3.608 JCR (2017) Q1, 3/26 Emergency MedicineUE

    Hiperfrecuentación en Atención Primaria e hiperfrecuentadores en Urgencias

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    Resumen: Objetivo: Identificar factores predictores de hiperfrecuentación en Atención Primaria (AP) en una muestra de pacientes hiperfrecuentadores (HF) en servicios de urgencias hospitalarios (SUH). Diseño: Estudio observacional retrospectivo multicéntrico. Participantes: Se seleccionaron pacientes mayores de 14 años HF en el SUH entre el 1 de enero y el 31 de diciembre de 2013. Emplazamiento: se reclutaron pacientes atendidos en los SUH de 17 hospitales públicos de la Comunidad de Madrid. Método: Se recogieron variables relativas a la visita índice del SUH. Se analizó la muestra en función de ser o no HF en AP. Se considera HF al paciente que realizó al menos 10 visitas en cada nivel asistencial durante un año. Resultados: Se incluyeron 1.284 pacientes HF en SUH. Se analizaron 423 (32,9%) HF en AP con 16 visitas (RIC 12-25) frente a 861 (67,1%) pacientes no HF en AP con 4 visitas (RIC 2-6). Factores independientes predictores de HF en AP fueron la edad > 65 años (OR: 1,51; IC 95%: 1,07-2,13; p = 0,019), el deterioro cognitivo (OR: 1,63; IC 95%: 1,01-2,65; p = 0,049), el número de fármacos ≥3 (OR: 1,56; IC 95%: 1,06-2,30; p = 0,025) y vivir en la comunidad frente a vivir institucionalizado o en la calle (OR: 3,05; IC 95%: 1,14-8,16; p = 0,026). Conclusiones: En una muestra de pacientes HF en los SUH, el hecho de ser mayor de 65 años, tomar 3 o más fármacos, presentar deterioro cognitivo y vivir en la comunidad se consideran factores predictores de ser HF también en AP. Abstract: Objective: To identify predictors of frequent attenders (HF) in Primary Health Care (PHC) centres in a sample of frequent attenders (HF) in Emergency Departments (ED). Design: This was an observational, retrospective, multicentre cohort study. Participants: The HF patients were selected from patients seen in the ED between January 1 and December 31, 2013. Setting Patients were recruited from 17 public hospitals of the Community of Madrid, Spain. Method: Variables on the index visit to the ED were collected. The sample was analysed in terms of being or not being an HF user in PHC. An HF user is considered a patient who made at least 10 visits in each level of care for a year. Results: A total of 1284 HF patients were included. An analysis was performed on 423 (32.9%) HF users in ED with 16 (12-25) visits to PHC vs. 861 (67.1%) non-HF users in ED, with 4 (2-6) visits to PHC. Independent predictors of HF in PHC: over 65 years (OR: 1.51; 95% CI: 1.07-2.13; P=.019), cognitive impairment (OR: 1.63; 95% CI: 1.01-2.65; P=.049), taking >3 drugs (OR: 1.56; 95% CI: 1.06-2.30; P=.025), and living in the community vs. nursing home or homeless (OR: 3.05; 95% CI: 1.14-8.16; P=.026). Conclusions: Among HF patients in the ED, the fact that of being over 65 years, taking 3 or more drugs, suffering cognitive impairment, and living in the community, are also considered to be predictors of HF in PHC. Palabras clave: Factores predictores, Hiperfrecuentación, Urgencias hospitalarias, Atención primaria, Keywords: Predictors, Frequent attendance, Emergency Department, Primary Health Car
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