5 research outputs found
Establishment of a reproducible and minimally invasive ischemic stroke model in swine
The need for advances in the management/treatment options for ischemic stroke patients requires that upcoming preclinical research uses animals with more human-like brain characteristics. The porcine brain is considered appropriate, although the presence of the rete mirabile (RM) prevents direct catheterization of the intracranial arteries to produce focal cerebral ischemia. To develop a reproducible minimally invasive porcine stroke model, a guide catheter and guide wire were introduced through the femoral artery until reaching the left RM. Using the pressure cooker technique, Squid-12 embolization material was deposited to fill, overflow, and occlude the left RM, the left internal carotid artery, and left circle of Willis wing up to the origins of the middle cerebral arteries (MCAs), mimicking the occlusion produced in the filament model in rodents. Longitudinal multimodal cerebral MRI was conducted to assess the brain damage and cerebral blood supply. The technique we describe here occluded up to the origins of the MCAs in 7 of 8 swine, inducing early damage 90 minutes after occlusion that later evolved to a large cerebral infarction and producing no mortality during the intervention. This minimally invasive ischemic stroke model in swine produced reproducible infarcts and shows translational features common to human stroke
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.JPA is under contract within the Ramón y Cajal Program (RYC-2016-20155, Ministerio de Economía, Industria y Competitividad, Spain). Investigators of Spanish Social-Environmental COVID-19 Register: Steering Committee: F. Javier Martín-Sánchez, Adrián Valls Carbó, Carmen Martínez Valero, Juan de D. Miranda, Juan Pedro Arrebola, Marta Esteban López, Annika Parviainen, Òscar Miró, Pere Llorens, Sònia Jiménez, Pascual Piñera, Guillermo Burillo, Alfonso Martín, Jorge García Lamberechts, Javier Jacob, Aitor Alquézar, Juan González del Castillo, Amanda López Picado and Iván Núñez. Participating centers: Oscar Miró y Sonia Jimenez. Hospital Clinic de Barcelona. José María Ferreras Amez. Hospital Clínico Universitario Lozano Blesa. Rafael Rubio Díaz. Complejo Hospitalario de Toledo. Julio Javier Gamazo del Rio. Hospital Universitario de Galdakao. Héctor Alonso. Hospital Universitario Miguel de Valdecilla. Pablo Herrero. Hospital Universitario Central de Asturias. Noemí Ruiz de Lobera. Hospital San Pedro de Logroño. Carlos Ibero. Complejo Hospitalario de Navarra. Plácido Mayan. Hospital Clínico Universitario de Santiago. Rosario Peinado. Complejo Hospitalario Universitario de Badajoz. Carmen Navarro Bustos. Hospital Universitario Virgen de la Macarena. Jesús Álvarez Manzanares. Hospital Universitario Rio Hortega. Francisco Román. Hospital Universitario General de Alicante. Pascual Piñera. Hospital Universitario Reina Sofia de Murcia. Guillermo Burillo. Hospital Universitario de Canarias de Tenerife. Javier Jacob. Hospital Universitario de Bellvitge. Carlos Bibiano. Hospital Universitario Infanta Leonor.Peer reviewe
Adhesión terapéutica en neurología
La adhesión terapéutica es una circunstancia que rodea a la práctica médica sobre la que se ha puesto énfasis en las últimas décadas, especialmente en el campo de las enfermedades crónicas. Las cifras de adhesión terapéutica suelen rondar, en general, el 50%, siendo dicha frecuencia similar a la encontrada en las enfermedades neurológicas, donde el rango de cumplimiento terapéutico se estima entre el 20 y el 80%. Entre las causas de falta de adhesión se consideran factores socioeconómicos, relacionados con el sistema de salud, asociados a la enfermedad, al tratamiento y factores relacionados con el paciente. Las estrategias para mejorar la adhesión van desde llamadas telefónicas y recordatorios programados hasta las cajas inteligentes, siendo fundamental incidir en la mejora de la relación médico-paciente para conseguir un mayor cumplimiento
Procalcitonin concentration in the emergency department predicts 30-day mortality in COVID-19 better than the lymphocyte count, the neutrophil-to- lymphocyte ratio, or the C-reactive protein level
Introducción. Existen múltiples variables demográficas y clínicas predictivas demortalidadenpacientes con COVID-19. Sin embargo, hay menos información sobre el valor pronóstico de los biomarcadores inflamatorios.
Métodos. Estudio de cohorte retrospectivo. Se incluyeron de forma consecutiva todos los pacientes con COVID-19, confirmado por laboratorio, atendidos en un servicio de urgencias hospitalario (SUH) y con valor basal de los siguientes biomarcadores: recuento linfocitario, índice neutrófilo/linfocito (INL), proteína C reactiva (PCR) y procalcitonina (PCT). La relación entre los biomarcadores y la mortalidad total a 30 días se analizó mediante una regresión de Cox y gráficos de dosis-respuesta.
Resultados. Se incluyeron 896 pacientes, 151 (17%) fallecieron en los primeros30 días. La mediana de edad fue de 63 años (51-78) y 494 (55%) eran hombres. El valor de INL, PCR y PCT fue mayor, mientras que el recuento linfocitario fue menor, en los pacientes que fallecieron respecto a los que sobrevivieron (p < 0,001). La PCT fue superior al recuento linfocitario, INL y PCR en la predicción de mortalidad a 30 días (ABC 0,79 [IC 95%: 0,75-0,83] vs 0,70 [IC 95%: 0,65-0,74], p<0,001; 0,74 [IC 95%: 0,69-0,78], p=0,03; y 0,72 [IC 95%: 0,68-0,76], p<0,001). Los puntos de decisión de PCT propuestos, 0,06 ng/l para exclusión y 0,72 ng/l para inclusión de muerte a 30 días, podrían facilitar la toma de decisiones en urgencias. Hubo 357 pacientes (40%) con valores de PCT en estas categorías. El análisis multivariable mostró una mayor asociación con la mortalidad para PCT que en los otros biomarcadores estudiados.
Conclusión. PCT es el biomarcador con mejor capacidad para predecir mortalidad a 30 días por cualquier causa en pacientes con COVID-19 valorados en un SUH.Depto. de MedicinaFac. de Trabajo SocialTRUEpu
Procalcitonin concentration in the emergency department predicts 30-day mortality in COVID-19 better than the lymphocyte count, the neutrophil-tolymphocyte ratio, or the C-reactive protein level
Although many demographic and clinical predictors of mortality have been studied in relation to COVID-19, little has been reported about the prognostic utility of inflammatory biomarkers.; Retrospective cohort study. All patients with laboratory-confirmed COVID-19 treated in a hospital emergency department were included consecutively if baseline measurements of the following biomarkers were on record: lymphocyte counts, neutrophil-to-lymphocyte ratio NRL, and C-reactive protein (CRP) and procalcitonin (PCT) levels. We analyzed associations between the biomarkers and all-cause 30-day mortality using Cox regression models and dose-response curves.; We included 896 patients, 151 (17%) of whom died within 30 days. The median (interquartile range) age was 63 (51-78) years, and 494 (55%) were men. NLR, CRP and PCT levels at ED presentation were higher, while lymphocyte counts were lower, in patients who died compared to those who survived (P .001). The areas under the receiver operating characteristic curves revealed the PCT concentration (0.79; 95% CI, 0.75-0.83) to be a better predictor of 30-day mortality than the lymphocyte count (0.70; 95% CI, 0.65-0.74; P .001), the NLR (0.74; 95% CI, 0.69-0.78; P = .03), or the CRP level (0.72; 95% CI, 0.68-0.76; P .001). The proposed PCT concentration decision points for use in emergency department case management were 0.06 ng/L (negative) and 0.72 ng/L (positive). These cutoffs helped classify risk in 357 patients (40%). Multivariable analysis demonstrated that the PCT concentration had the strongest association with mortality.; PCT concentration in the emergency department predicts all-cause 30-day mortality in patients with COVID-19 better than other inflammatory biomarkers