Real needle for minimal invasive procedures training using motion sensors and optical flow.

Minimally invasive percutaneous insertion procedures are widely used techniques in medicine. Their success is highly dependent on the skills of the practitioner. This paper presents a haptic simulator for training in these procedures, whose key component is a real percutaneous insertion needle with a sensory system incorporated to track its 3D location at every instant. By means of the proposed embedded vision system, the attitude (spatial orientation) and depth of insertion of a real needle are estimated. The proposal is founded on a novel depth estimation procedure based on optical flow techniques, complemented by sensory fusion techniques with the attitude calculated with data from an Inertial Measurement Unit (IMU) sensor. This procedure allows estimating the needle attitude with an accuracy of tenths of a degree and the displacement with an accuracy of millimeters. The computational algorithm runs on an embedded computer with real-time constraints for tracking the movement of a real needle. This haptic needle location data is used to reproduce the movement of a virtual needle within a simulation app. As a fundamental result, an ergonomic and realistic training simulator has been successfully constructed for healthcare professionals to acquire the mental model and motor skills necessary to practice percutaneous procedures successfully.

Prognosis of patients with severe cerebral venous thrombosis treated with decompressive craniectomy / Pronóstico en pacientes con trombosis venosa cerebral severa tratada con craniectomía descompresiva

Introduction: Despite the highly favorable prognosis, mortality occurs in nearly 2% of patients with cerebral venous thrombosis (CVT), in which decompressive craniectomy (DC) may be the only way to save the patient's life. The aim of this report is to describe the risk factors, neuroimaging features, in-hospital complications and functional outcome of severe CVT in patients treated with DC. Materials and methods: Consecutive malignant CVT cases treated with DC from a retrospective third-level hospital database were analyzed. Demographic, clinical, and functional outcomes were analyzed. Results: Twenty-six patients were included (20 female, age 35.4 ± 12.1 years); 53.8% of the patients had acute CVT, with neurological focalization as the most common symptom in 92.3% of the patients. Superior sagittal sinus thromboses were found in 84.6% of cases. Bilateral lesions were present in 10 patients (38.5%). Imaging on admission showed a parenchymal lesion (venous infarction ± hemorrhagic lesion) > 6 cm measured along the longest diameter in 25 patients (96.2%). Mean duration of clinical neurological deterioration was 3.5 days; eleven patients (42.3%) died during hospitalization. Conclusion: In patients with severe forms of CVT, we found higher mortality than previously reported. DC is an effective life-saving treatment with acceptable functional prognosis for survivors.(AU)

Introducción: A pesar del pronóstico favorable en pacientes con trombosis venosa cerebral (TVC), cerca de un 2% de estos pacientes fallecen, para los cuales la craniectomía descompresiva (CD) puede ser una opción terapéutica. El objetivo de este artículo es describir los factores de riesgo, las características de las neuroimágenes, complicaciones hospitalarias y evolución funcional, de pacientes con TVC severa tratados con CD. Materiales y métodos: Se analizaron características demográficas, clínicas y funcionales de casos consecutivos de TVC severa tratados con CD, a partir de una base de datos retrospectiva de un hospital de tercer nivel. Resultados: Veintiséis pacientes fueron incluidos (20 mujeres, media de edad 35,4 ±12,1 años); un 53,8% de los pacientes presentaron una TVC aguda, con manifestaciones neurológicas focales como el síntoma más frecuente en el 92,3% de los casos. La trombosis del seno sagital superior estuvo presente en el 84,6% y se presentaron lesiones bilaterales parenquimatosas en 10 pacientes (38,5%). La imagen al ingreso demostró lesiones parenquimatosas (infarto venoso ± lesión hemorrágica) > 6 cm (medida en el mayor diámetro de la misma), en 25 pacientes (96,2%). La duración media del deterioro neurológico fue de 3,5 días; 11 pacientes (42,3%) murieron durante la hospitalización. Conclusión: En pacientes con formas severas de TVC encontramos una mayor mortalidad que la publicada previamente; la CD podría ser una opción terapéutica en ese grupo de pacientes.(AU)

Prognosis of patients with severe cerebral venous thrombosis treated with decompressive craniectomy.

INTRODUCTION: Despite the highly favorable prognosis, mortality occurs in nearly 2% of patients with cerebral venous thrombosis (CVT), in which decompressive craniectomy (DC) may be the only way to save the patient's life. The aim of this report is to describe the risk factors, neuroimaging features, in-hospital complications and functional outcome of severe CVT in patients treated with DC. MATERIALS AND METHODS: Consecutive malignant CVT cases treated with DC from a retrospective third-level hospital database were analyzed. Demographic, clinical, and functional outcomes were analyzed. RESULTS: Twenty-six patients were included (20 female, age 35.4±12.1 years); 53.8% of the patients had acute CVT, with neurological focalization as the most common symptom in 92.3% of the patients. Superior sagittal sinus thromboses were found in 84.6% of cases. Bilateral lesions were present in 10 patients (38.5%). Imaging on admission showed a parenchymal lesion (venous infarction±hemorrhagic lesion)>6cm measured along the longest diameter in 25 patients (96.2%). Mean duration of clinical neurological deterioration was 3.5 days; eleven patients (42.3%) died during hospitalization. CONCLUSION: In patients with severe forms of CVT, we found higher mortality than previously reported. DC is an effective life-saving treatment with acceptable functional prognosis for survivors.

Host phylogeny and environment shape the diversity of salamander skin bacterial communities.

The composition and diversity of animal-associated microbial communities are shaped by multiple ecological and evolutionary processes acting at different spatial and temporal scales. Skin microbiomes are thought to be strongly influenced by the environment due to the direct interaction of the host's skin with the external media. As expected, the diversity of amphibian skin microbiomes is shaped by climate and host sampling habitats, whereas phylogenetic effects appear to be weak. However, the relative strength of phylogenetic and environmental effects on salamander skin microbiomes remains poorly understood. Here, we analysed sequence data from 1164 adult salamanders of 44 species to characterise and compare the diversity and composition of skin bacteria. We assessed the relative contribution of climate, host sampling habitat, and host phylogeny to the observed patterns of bacterial diversity. We found that bacterial alpha diversity was mainly associated with host sampling habitat and climate, but that bacterial beta diversity was more strongly associated with host taxonomy and phylogeny. This phylogenetic effect predominantly occurred at intermediate levels of host divergence (0-50 Mya). Our results support the importance of environmental factors shaping the diversity of salamander skin microbiota, but also support host phylogenetic history as a major factor shaping these bacterial communities.

A differential therapeutic consideration for use of corticosteroids according to established COVID-19 clinical phenotypes in critically ill patients.

Objective: To determine if the use of corticosteroids was associated with Intensive Care Unit (ICU) mortality among whole population and pre-specified clinical phenotypes. Design: A secondary analysis derived from multicenter, observational study. Setting: Critical Care Units. Patients: Adult critically ill patients with confirmed COVID-19 disease admitted to 63 ICUs in Spain. Interventions: Corticosteroids vs. no corticosteroids. Main variables of interest: Three phenotypes were derived by non-supervised clustering analysis from whole population and classified as (A: severe, B: critical and C: life-threatening). We performed a multivariate analysis after propensity optimal full matching (PS) for whole population and weighted Cox regression (HR) and Fine-Gray analysis (sHR) to assess the impact of corticosteroids on ICU mortality according to the whole population and distinctive patient clinical phenotypes. Results: A total of 2017 patients were analyzed, 1171 (58%) with corticosteroids. After PS, corticosteroids were shown not to be associated with ICU mortality (OR: 1.0; 95% CI: 0.98-1.15). Corticosteroids were administered in 298/537 (55.5%) patients of "A" phenotype and their use was not associated with ICU mortality (HR = 0.85 [0.55-1.33]). A total of 338/623 (54.2%) patients in "B" phenotype received corticosteroids. No effect of corticosteroids on ICU mortality was observed when HR was performed (0.72 [0.49-1.05]). Finally, 535/857 (62.4%) patients in "C" phenotype received corticosteroids. In this phenotype HR (0.75 [0.58-0.98]) and sHR (0.79 [0.63-0.98]) suggest a protective effect of corticosteroids on ICU mortality. Conclusion: Our finding warns against the widespread use of corticosteroids in all critically ill patients with COVID-19 at moderate dose. Only patients with the highest inflammatory levels could benefit from steroid treatment.

Objetivo: Evaluar si el uso de corticoesteroides (CC) se asocia con la mortalidad en la unidad de cuidados intensivos (UCI) en la población global y dentro de los fenotipos clínicos predeterminados. Diseño: Análisis secundario de estudio multicéntrico observacional. Ámbito: UCI. Pacientes: Pacientes adultos con COVID-19 confirmado ingresados en 63 UCI de España. Intervención: Corticoides vs. no corticoides. Variables de interés principales: A partir del análisis no supervisado de grupos, 3 fenotipos clínicos fueron derivados y clasificados como: A grave, B crítico y C potencialmente mortal. Se efectuó un análisis multivariado después de un propensity optimal full matching (PS) y una regresión ponderada de Cox (HR) y análisis de Fine-Gray (sHR) para evaluar el impacto del tratamiento con CC sobre la mortalidad en la población general y en cada fenotipo clínico. Resultados: Un total de 2.017 pacientes fueron analizados, 1.171 (58%) con CC. Después del PS, el uso de CC no se relacionó significativamente con la mortalidad en UCI (OR: 1,0; IC 95%: 0,98-1,15). Los CC fueron administrados en 298/537 (55,5%) pacientes del fenotipo A y no se observó asociación significativa con la mortalidad (HR = 0,85; 0,55-1,33). Un total de 338/623 (54,2%) pacientes del fenotipo B recibieron CC sin efecto significativo sobre la mortalidad (HR = 0,72; 0,49-1,05). Por último, 535/857 (62,4%) pacientes del fenotipo C recibieron CC. En este fenotipo, se evidenció un efecto protector de los CC sobre la mortalidad HR (0,75; 0,58-0,98). Conclusión: Nuestros hallazgos alertan sobre el uso indiscriminado de CC a dosis moderadas en todos los pacientes críticos con COVID-19. Solamente pacientes con elevado estado de inflamación podrían beneficiarse con el tratamiento con CC.

A differential therapeutic consideration for use of corticosteroids according to established COVID-19 clinical phenotypes in critically ill patients.

OBJECTIVE: To determine if the use of corticosteroids was associated with Intensive Care Unit (ICU) mortality among whole population and pre-specified clinical phenotypes. DESIGN: A secondary analysis derived from multicenter, observational study. SETTING: Critical Care Units. PATIENTS: Adult critically ill patients with confirmed COVID-19 disease admitted to 63 ICUs in Spain. INTERVENTIONS: Corticosteroids vs. no corticosteroids. MAIN VARIABLES OF INTEREST: Three phenotypes were derived by non-supervised clustering analysis from whole population and classified as (A: severe, B: critical and C: life-threatening). We performed a multivariate analysis after propensity optimal full matching (PS) for whole population and weighted Cox regression (HR) and Fine-Gray analysis (sHR) to assess the impact of corticosteroids on ICU mortality according to the whole population and distinctive patient clinical phenotypes. RESULTS: A total of 2017 patients were analyzed, 1171 (58%) with corticosteroids. After PS, corticosteroids were shown not to be associated with ICU mortality (OR: 1.0; 95% CI: 0.98-1.15). Corticosteroids were administered in 298/537 (55.5%) patients of "A" phenotype and their use was not associated with ICU mortality (HR=0.85 [0.55-1.33]). A total of 338/623 (54.2%) patients in "B" phenotype received corticosteroids. No effect of corticosteroids on ICU mortality was observed when HR was performed (0.72 [0.49-1.05]). Finally, 535/857 (62.4%) patients in "C" phenotype received corticosteroids. In this phenotype HR (0.75 [0.58-0.98]) and sHR (0.79 [0.63-0.98]) suggest a protective effect of corticosteroids on ICU mortality. CONCLUSION: Our finding warns against the widespread use of corticosteroids in all critically ill patients with COVID-19 at moderate dose. Only patients with the highest inflammatory levels could benefit from steroid treatment.

Genomic characterization of antifungal Acinetobacter bacteria isolated from the skin of the frogs Agalychnis callidryas and Craugastor fitzingeri.

Chytridiomycosis, a lethal fungal disease caused by Batrachochytrium dendrobatidis (Bd), is responsible for population declines and extinctions of amphibians worldwide. However, not all amphibian species are equally susceptible to the disease; some species persist in Bd enzootic regions with no population reductions. Recently, it has been shown that the amphibian skin microbiome plays a crucial role in the defense against Bd. Numerous bacterial isolates with the capacity to inhibit the growth of Batrachochytrium fungi have been isolated from the skin of amphibians. Here, we characterized eight Acinetobacter bacteria isolated from the frogs Agalychnis callidryas and Craugastor fitzingeri at the genomic level. A total of five isolates belonged to Acinetobacter pittii,Acinetobacter radioresistens, or Acinetobactermodestus, and three were not identified as any of the known species, suggesting they are members of new species. We showed that seven isolates inhibited the growth of Bd and that all eight isolates inhibited the growth of the phytopathogen fungus Botrytis cinerea. Finally, we identified the biosynthetic gene clusters that could be involved in the antifungal activity of these isolates. Our results suggest that the frog skin microbiome includes Acinetobacter isolates that are new to science and have broad antifungal functions, perhaps driven by distinct genetic mechanisms.

El bloqueo interatrial avanzado predice recurrencia de infarto cerebral embólico de origen no determinado / Advanced interatrial block predicts recurrence of embolic stroke of undetermined source

Antecedentes: El bloqueo interatrial avanzado (BIA-a) es considerado un factor de riesgo independiente para infarto cerebral (IC). Nuestro objetivo fue analizar si el BIA-a predice recurrencia de IC en pacientes con infarto cerebral embólico de origen no determinado (ESUS).MétodosCiento cuatro pacientes con diagnóstico confirmado de ESUS fueron seguidos durante una mediana de 15 meses (RIQ 10-48). Los datos clínicos, las características de la onda P y presencia de BIA en electrocardiograma realizado durante el evento índice, fueron registrados. La interpretación de los electrocardiogramas se realizó de forma centralizada y ciega en (XXXX2). La recurrencia de ESUS fue el desenlace primario.ResultadosLa mediana de edad de los casos fue de 47 años (rango 19-85); 50% fueron mujeres. Se encontró BIA en 36 casos (34,6%); parcial (BIA-p) en 29 (27,9%) y BIA-a en 7(6,7%). Dieciséis pacientes (15,4%) presentaron IC recurrente; de los cuales 5 tenían BIA-p y 4 BIA-a (p=0,01;OR 9,44:IC 95% 1,88-47,46). La mediana de duración de la onda P fue mayor en pacientes con recurrencia (p=0,009). En el análisis multivariado de regresión logística, los factores de riesgo independientes para recurrencia de IC fueron: el BIA-a (p<0,001; OR 10,86:IC 95% 3,07-38,46), género masculino (p=0,028; OR 4,6:IC 95% 1,18-17,96) y la edad mayor a 50 años (p=0,039; OR 3,84:IC 95% 1,06-13,88); en riesgos proporcionales de Cox fueron: edad mayor a 50 años (p=0,002; HR 7,04:IC 95% 2,06–23,8) y duración de la onda P (por ms) p=0,007 (HR 1,02:IC 95% 1,01-1,04).ConclusionesEl BIA-a y edad mayor a 50 años predicen recurrencia de ESUS. (AU)

Background: Advanced interatrial block (IAB) is an independent risk factor for ischaemic stroke. This study aimed to analyse whether advanced IAB predicts recurrence of embolic stroke of undetermined source (ESUS).Methods104 patients with a confirmed diagnosis of ESUS were followed up for a median period of 15 months (interquartile range, 10-48). We recorded data on clinical variables, P-wave characteristics, and presence of IAB on the electrocardiogram. Electrocardiogram findings were interpreted by a blinded, centralised rater at (XXXX2). ESUS recurrence was the primary outcome variable.ResultsMedian age was 47 years (range, 19-85); 50% of patients were women. IAB was detected in 36 patients (34.6%); IAB was partial in 29 cases (27.9%) and advanced in 7 (6.7%). Sixteen patients (15.4%) presented stroke recurrence; of these, 5 had partial and 4 had advanced IAB (P = .01; odds ratio [OR] = 9.44; 95% confidence interval [CI], 1.88-47.46; relative risk [RR] = 4.62; 95% CI, 2.01-10.61). Median P-wave duration was longer in patients with stroke recurrence (P = .009). The multivariate logistic regression analysis identified the following independent risk factors for stroke recurrence: advanced IAB (P < .001; OR = 10.86; 95% CI, 3.07-38.46), male sex (P = .028; OR = 4.6; 95% CI, 1.18-17.96), and age older than 50 years (P = .039; OR = 3.84; 95% CI, 1.06-13.88). In the Cox proportional hazards model, the risk variables identified were age older than 50 years (P = .002; hazard ratio, 7.04; 95% CI, 2.06-23.8) and P-wave duration (per ms) (P = .007; hazard ratio, 1.02; 95% CI, 1.01-1.04).ConclusionsAdvanced IAB and age older than 50 years predict ESUS recurrence. (AU)

Modelo matemático optimizado para la predicción y planificación de la asistencia sanitaria por la COVID-19 / Mathematical model optimized for prediction and health care planning for COVID-19

Objetivo: La pandemia de la COVID-19 ha supuesto una amenaza de colapso de los servicios hospitalarios y de unidades de cuidado intensivo (UCI), así como una reducción de la dinámica asistencial de pacientes afectados por otras patologías. El objetivo fue desarrollar un modelo matemático diseñado para optimizar las predicciones relacionadas con las necesidades de hospitalización e ingresos en UCI por la COVID-19. Diseño: Estudio prospectivo. Ámbito: Provincia de Granada (España). Pacientes: Pacientes de COVID-19 hospitalizados, ingresados en UCI, recuperados y fallecidos desde el 15 de marzo hasta el 22 de septiembre del 2020. Intervenciones: Desarrollo de un modelo matemático tipo susceptible, expuesto, infectado y recuperado (SEIR) capaz de predecir la evolución de la pandemia, considerando las medidas de salud pública establecidas. Variables de interés: Número de pacientes infectados por SARS-CoV-2, hospitalizados e ingresados en UCI por la COVID-19.Resultados: A partir de los datos registrados, hemos podido desarrollar un modelo matemático que refleja el flujo de la población entre los diferentes grupos de interés en relación con la COVID-19. Esta herramienta permite analizar diferentes escenarios basados en medidas de restricción socio-sanitarias y pronosticar el número de infectados, hospitalizados e ingresados en UCI. Conclusiones: El modelo matemático es capaz de proporcionar predicciones sobre la evolución de la COVID-19 con suficiente antelación como para poder conjugar los picos de prevalencia y de necesidades de asistencia hospitalaria y de UCI, con la aparición de ventanas temporales que posibiliten la atención de enfermos no-COVID (AU)

Objective: The COVID-19 pandemic has threatened to collapse hospital and ICU services, and it has affected the care programs for non-COVID patients. The objective was to develop a mathematical model designed to optimize predictions related to the need for hospitalization and ICU admission by COVID-19 patients. Design: Prospective study. Setting: Province of Granada (Spain). Population: COVID-19 patients hospitalized, admitted to ICU, recovered and died from March 15 to September 22, 2020. Study variables: The number of patients infected with SARS-CoV-2 and hospitalized or admitted to ICU for COVID-19. Results: The data reported by hospitals was used to develop a mathematical model that reflects the flow of the population among the different interest groups in relation to COVID-19. This tool allows to analyse different scenarios based on socio-health restriction measures, and to forecast the number of people infected, hospitalized and admitted to the ICU. Conclusions:The mathematical model is capable of providing predictions on the evolution of the COVID-19 sufficiently in advance as to anticipate the peaks of prevalence and hospital and ICU care demands, and also the appearance of periods in which the care for non-COVID patients could be intensified (AU)

Mathematical model optimized for prediction and health care planning for COVID-19.

OBJECTIVE: The COVID-19 pandemic has threatened to collapse hospital and ICU services, and it has affected the care programs for non-COVID patients. The objective was to develop a mathematical model designed to optimize predictions related to the need for hospitalization and ICU admission by COVID-19 patients. DESIGN: Prospective study. SETTING: Province of Granada (Spain). POPULATION: COVID-19 patients hospitalized, admitted to ICU, recovered and died from March 15 to September 22, 2020. STUDY VARIABLES: The number of patients infected with SARS-CoV-2 and hospitalized or admitted to ICU for COVID-19. RESULTS: The data reported by hospitals was used to develop a mathematical model that reflects the flow of the population among the different interest groups in relation to COVID-19. This tool allows to analyse different scenarios based on socio-health restriction measures, and to forecast the number of people infected, hospitalized and admitted to the ICU. CONCLUSIONS: The mathematical model is capable of providing predictions on the evolution of the COVID-19 sufficiently in advance as to anticipate the peaks of prevalence and hospital and ICU care demands, and also the appearance of periods in which the care for non-COVID patients could be intensified.

Alineamiento comisural preciso durante el TAVI con ACURATE neo. Prueba de concepto / Accurate commissural alignment during ACURATE neo TAVI procedure. Proof of concept

Introducción y objetivos: La posición final de las neocomisuras en el implante percutáneo de válvula aórtica (TAVI) es aleatoria, lo que podría dificultar el acceso coronario y procedimientos futuros. Nuestro objetivo es desarrollar un método estandarizado para conseguir el alineamiento de las comisuras con ACURATE neo. Métodos: La relación entre las comisuras nativas y las neocomisuras de la válvula se analizó en 11 pacientes con estenosis aórtica grave sometidos a TAVI. Con base en la tomografía computarizada, se desarrolló un modelo in silico para predecir la posición final de los postes comisurales. A continuación, se desarrolló una técnica modificada de implante con alineamiento comisural adecuado (ACA) y un dispositivo específico para orientar el sistema de liberación. Por último, el implante de TAVI con alineamiento comisural se simuló en modelos impresos en 3D e in vivo. Se analizó el grado de mal alineamiento y de solapamiento coronario (SC). Resultados: El modelo in silico predijo con precisión la posición de los postes comisurales tanto para implantes convencionales (2) como aquellos con técnica de ACA (9) (coeficiente de correlación=0,994; IC95%, 0,989-0,998; p <0,001). El TAVI con una rotación del sistema específica para cada paciente se simuló con éxito en biomodelos y en 9 pacientes (mal alineamiento comisural medio in vivo, 7,7±3,9°). Ninguno de los implantes con técnica ACA presentó SC, mientras que la simulación in silico para los mismos casos pero mediante implante convencional predijo SC en 6 de los 9 casos. Conclusiones: El alineamiento comisural preciso del dispositivo ACURATE neo es factible mediante la inserción del sistema de liberación rotado específicamente para cada paciente basándose en el análisis de la tomografía computarizada. Este método sencillo y reproducible de alineamiento comisural podría utilizarse con todo tipo de dispositivos para TAVI (AU)

Introduction and objectives: Final position of the neo-commissures is uncontrolled during transcatheter aortic valve implantation (TAVI), potentially hindering coronary access and future procedures. We aimed to develop a standard method to achieve commissural alignment with the ACURATE neo valve. Methods: The relationship between native and TAVI neo-commissures was analyzed in 11 severe aortic stenosis patients undergoing TAVI. Based on computed tomography analysis, an in silico model was developed to predict final TAVI commissural posts position. A modified implantation technique, accurate commissural alignment (ACA) and a dedicated delivery system were developed. TAVI implants were tested in 3-dimensional (3D) printed models and in vivo. Commissural misalignment and coronary overlap (CO) were analyzed. Results: The in silico model accurately predicted final position of commissural posts irrespective of the implantation technique performed (correlation coefficient, 0.994; 95%CI, 0.989-0.998; P<.001). TAVI implant with patient-specific rotation was simulated in 3D printed models and in 9 patients. ACA-oriented TAVI implants presented adequate commissural alignment in vivo (mean commissural misalignment of 7.7 ±3.9°). None of the ACA oriented implants showed CO, whereas in silico conventional implants predicted CO in 6 of the 9 cases. Conclusions: Accurate commissural alignment of the ACURATE neo device is feasible by inserting the delivery system with a patient-specific rotation based on computed tomography analysis. This is a simple and reproducible method for commissural alignment that can be potentially used for all kinds of TAVI devices (AU)

Advanced interatrial block predicts recurrence of embolic stroke of undetermined source. / El bloqueo interatrial avanzado predice recurrencia de infarto cerebral embólico de origen no determinado.

BACKGROUND: Advanced interatrial block (IAB) is an independent risk factor for ischaemic stroke. This study aimed to analyse whether advanced IAB predicts recurrence of embolic stroke of undetermined source (ESUS). METHODS: 104 patients with a confirmed diagnosis of ESUS were followed up for a median period of 15 months (interquartile range, 10-48). We recorded data on clinical variables, P-wave characteristics, and presence of IAB on the electrocardiogram. Electrocardiogram findings were interpreted by a blinded, centralised rater at (XXXX2). ESUS recurrence was the primary outcome variable. RESULTS: Median age was 47 years (range, 19-85); 50% of patients were women. IAB was detected in 36 patients (34.6%); IAB was partial in 29 cases (27.9%) and advanced in 7 (6.7%). Sixteen patients (15.4%) presented stroke recurrence; of these, 5 had partial and 4 had advanced IAB (P = .01; odds ratio [OR] = 9.44; 95% confidence interval [CI], 1.88-47.46; relative risk [RR] = 4.62; 95% CI, 2.01-10.61). Median P-wave duration was longer in patients with stroke recurrence (P = .009). The multivariate logistic regression analysis identified the following independent risk factors for stroke recurrence: advanced IAB (P < .001; OR = 10.86; 95% CI, 3.07-38.46), male sex (P = .028; OR = 4.6; 95% CI, 1.18-17.96), and age older than 50 years (P = .039; OR = 3.84; 95% CI, 1.06-13.88). In the Cox proportional hazards model, the risk variables identified were age older than 50 years (P = .002; hazard ratio, 7.04; 95% CI, 2.06-23.8) and P-wave duration (per ms) (P = .007; hazard ratio, 1.02; 95% CI, 1.01-1.04). CONCLUSIONS: Advanced IAB and age older than 50 years predict ESUS recurrence.

Large cell neuroendocrine carcinoma on the floor of the mouth: a rare entity in an unusual location.

Neuroendocrine carcinomas (NEC) are a group of malignant neoplasms usually located in the lungs or gastrointestinal tract. Fewer cases are located in the head and neck, and in these rare presentations, the lingual tonsil, larynx, and major salivary glands are the most frequently affected sites. NECs exhibit similar characteristics regardless of where they arise. However, because these neoplasms are rare, a clear understanding of their aetiopathogenesis has yet to be described, and options for treatment have varied and are not unified. A rare NEC of the floor of the mouth is reported here; it appears that this location has not been reported previously. The diagnosis was established through histopathological analysis, and the patient underwent systemic treatment. He had a partial response to treatment in the first 3 months, but died 6 months after the initial diagnosis. This highly uncommon tumour can pose a significant diagnostic challenge for clinicians and pathologists alike and can result in diagnostic delay.

Advanced interatrial block predicts recurrence of embolic stroke of undetermined source.

BACKGROUND: Advanced interatrial block (IAB) is an independent risk factor for ischaemic stroke. This study aimed to analyse whether advanced IAB predicts recurrence of embolic stroke of undetermined source (ESUS). METHODS: 104 patients with a confirmed diagnosis of ESUS were followed up for a median period of 15 months (interquartile range, 10-48). We recorded data on clinical variables, P-wave characteristics, and presence of IAB on the electrocardiogram (ECG). ECG findings were interpreted by a blinded, centralised rater at (XXXX2). ESUS recurrence was the primary outcome variable. RESULTS: Median age was 47 years (range, 19-85); 50% of patients were women. IAB was detected in 36 patients (34.6%); IAB was partial in 29 cases (27.9%) and advanced in 7 (6.7%). Sixteen patients (15.4%) presented stroke recurrence; of these, 5 had partial and 4 had advanced IAB (P = .01; odds ratio [OR] = 9.44; 95% confidence interval [CI], 1.88-47.46; relative risk [RR] = 4.62; 95% CI, 2.01-10.61). Median P-wave duration was longer in patients with stroke recurrence (P = .009). The multivariate logistic regression analysis identified the following independent risk factors for stroke recurrence: advanced IAB (P < .001; OR = 10.86; 95% CI, 3.07-38.46), male sex (P = .028; OR = 4.6; 95% CI, 1.18-17.96), and age older than 50 years (P = .039; OR = 3.84; 95% CI, 1.06-13.88). In the Cox proportional hazards model, the risk variables identified were age older than 50 years (P = .002; hazard ratio, 7.04; 95% CI, 2.06-23.8) and P-wave duration (per ms) (P = .007; hazard ratio, 1.02; 95% CI, 1.01-1.04). CONCLUSIONS: Advanced IAB and age older than 50 years predict ESUS recurrence.

Prognosis of patients with severe cerebral venous thrombosis treated with decompressive craniectomy.

INTRODUCTION: Despite the highly favorable prognosis, mortality occurs in nearly 2% of patients with cerebral venous thrombosis (CVT), in which decompressive craniectomy (DC) may be the only way to save the patient's life. The aim of this report is to describe the risk factors, neuroimaging features, in-hospital complications and functional outcome of severe CVT in patients treated with DC. MATERIALS AND METHODS: Consecutive malignant CVT cases treated with DC from a retrospective third-level hospital database were analyzed. Demographic, clinical, and functional outcomes were analyzed. RESULTS: Twenty-six patients were included (20 female, age 35.4±12.1 years); 53.8% of the patients had acute CVT, with neurological focalization as the most common symptom in 92.3% of the patients. Superior sagittal sinus thromboses were found in 84.6% of cases. Bilateral lesions were present in 10 patients (38.5%). Imaging on admission showed a parenchymal lesion (venous infarction±hemorrhagic lesion)>6cm measured along the longest diameter in 25 patients (96.2%). Mean duration of clinical neurological deterioration was 3.5 days; eleven patients (42.3%) died during hospitalization. CONCLUSION: In patients with severe forms of CVT, we found higher mortality than previously reported. DC is an effective life-saving treatment with acceptable functional prognosis for survivors.

Mathematical model optimized for prediction and health care planning for COVID-19. / Modelo matemático optimizado para la predicción y planificación de la asistencia sanitaria por la COVID-19.

OBJECTIVE: The COVID-19 pandemic has threatened to collapse hospital and ICU services, and it has affected the care programs for non-COVID patients. The objective was to develop a mathematical model designed to optimize predictions related to the need for hospitalization and ICU admission by COVID-19 patients. DESIGN: Prospective study. SETTING: Province of Granada (Spain). POPULATION: COVID-19 patients hospitalized, admitted to ICU, recovered and died from March 15 to September 22, 2020. STUDY VARIABLES: The number of patients infected with SARS-CoV-2 and hospitalized or admitted to ICU for COVID-19. RESULTS: The data reported by hospitals was used to develop a mathematical model that reflects the flow of the population among the different interest groups in relation to COVID-19. This tool allows to analyse different scenarios based on socio-health restriction measures, and to forecast the number of people infected, hospitalized and admitted to the ICU. CONCLUSIONS: The mathematical model is capable of providing predictions on the evolution of the COVID-19 sufficiently in advance as to anticipate the peaks of prevalence and hospital and ICU care demands, and also the appearance of periods in which the care for non-COVID patients could be intensified.