Polyproline peptide targets Klebsiella pneumoniae polysaccharides to collapse biofilms.

Hypervirulent Klebsiella pneumoniae is known for its increased extracellular polysaccharide production. Biofilm matrices of hypervirulent K. pneumoniae have increased polysaccharide abundance and are uniquely susceptible to disruption by peptide bactenecin 7 (bac7 (1-35)). Here, using confocal microscopy, we show that polysaccharides within the biofilm matrix collapse following bac7 (1-35) treatment. This collapse led to the release of cells from the biofilm, which were then killed by the peptide. Characterization of truncated peptide analogs revealed that their interactions with polysaccharide were responsible for the biofilm matrix changes that accompany bac7 (1-35) treatment. Ultraviolet photodissociation mass spectrometry with the parental peptide or a truncated analog bac7 (10-35) reveal the important regions for bac7 (1-35) complexing with polysaccharides. Finally, we tested bac7 (1-35) using a murine skin abscess model and observed a significant decrease in the bacterial burden. These findings unveil the potential of bac7 (1-35) polysaccharide interactions to collapse K. pneumoniae biofilms.

Evaluación de las características clínicas y evolución de pacientes con COVID-19 a partir de una serie de 1000 pacientes atendidos en servicios de urgencias españoles / Analysis of clinical characteristics and outcomes in patients with COVID-19 based on a series of 1000 patients treated in Spanish emergency departments

OBJETIVO: Describir las características clínicas de los pacientes con COVID-19 atendidos en los servicios de urgencias hospitalarios (SUH) españoles y evaluar su asociación con los resultados de su evolución. MÉTODOS: Estudio multicéntrico, anidado en una cohorte prospectiva. Participaron 61 SUH que incluyeron pacientes seleccionados aleatoriamente de todos los diagnosticados de COVID-19 entre el 1 de marzo y el 30 de abril de 2020. Se recogieron características basales, clínicas, de exploraciones complementarias y terapéuticas del episodio en los SUH. Se calcularon las odds ratio (OR) asociadas a la mortalidad intrahospitalaria y al evento combinado formado por el ingreso en unidad de cuidados intensivos (UCI), la intubación orotraqueal o ventilación mecánica invasiva (IOT/ VMI), crudas y ajustadas con modelos de regresión logística para tres grupos de variables independientes: basales, clínicas y de exploraciones complementarias. RESULTADOS: La edad media fue de 62 años (DE 18). La mayoría manifestaron fiebre, tos seca, disnea, febrícula y diarrea. Las comorbilidades más frecuentes fueron las enfermedades cardiovasculares, seguidas de las respiratorias y el cáncer. Las variables basales que se asociaron independientemente y de forma directa a peores resultados evolutivos (tanto a mortalidad como a evento combinado) fueron edad y obesidad; las variables clínicas fueron disminución de consciencia y crepitantes a la auscultación pulmonar, y de forma inversa cefalea; y las variables de resultados de exploraciones complementarias fueron infiltrados pulmonares bilaterales y cardiomegalia radiológicos, y linfopenia, hiperplaquetosis, dímero-D > 500 mg/dL y lactato-deshidrogenasa > 250 UI/L en la analítica. CONCLUSIONES: Conocer las características clínicas y la comorbilidad de los pacientes con COVID-19 atendidos en urgencias permite identificar precozmente a la población más susceptible de empeorar, para prever y mejorar los resultados

OBJECTIVES: To describe the clinical characteristics of patients with coronavirus disease 2019 (COVID-19) treated in hospital emergency departments (EDs) in Spain, and to assess associations between characteristics and outcomes. METHODS: Prospective, multicenter, nested-cohort study. Sixty-one EDs included a random sample of all patients diagnosed with COVID-19 between March 1 and April 30, 2020. Demographic and baseline health information, including concomitant conditions; clinical characteristics related to the ED visit and complementary test results; and treatments were recorded throughout the episode in the ED. We calculated crude and adjusted odds ratios for risk of in-hospital death and a composite outcome consisting of the following events: intensive care unit admission, orotracheal intubation or mechanical ventilation, or in-hospital death. The logistic regression models were constructed with 3 groups of independent variables: the demographic and baseline health characteristics, clinical characteristics and complementary test results related to the ED episode, and treatments. RESULTS: The mean (SD) age of patients was 62 (18) years. Most had high- or low-grade fever, dry cough, dyspnea, and diarrhea. The most common concomitant conditions were cardiovascular diseases, followed by respiratory diseases and cancer. Baseline patient characteristics that showed a direct and independent association with worse outcome (death and the composite outcome) were age and obesity. Clinical variables directly associated with worse outcomes were impaired consciousness and pulmonary crackles; headache was inversely associated with worse outcomes. Complementary test findings that were directly associated with outcomes were bilateral lung infiltrates, lymphopenia, a high platelet count, a D-dimer concentration over 500 mg/dL, and a lactate-dehydrogenase concentration over 250 IU/L in blood. CONCLUSION: This profile of the clinical characteristics and comorbidity of patients with COVID-19 treated in EDs helps us predict outcomes and identify cases at risk of exacerbation. The information can facilitate preventive measures and improve outcomes

Analysis of clinical characteristics and outcomes in patients with COVID-19 based on a series of 1000 patients treated in Spanish emergency departments. / Evaluación de las características clínicas y evolución de pacientes con COVID-19 a partir de una serie de 1000 pacientes atendidos en servicios de urgencias españoles.

OBJECTIVES: To describe the clinical characteristics of patients with coronavirus disease 2019 (COVID-19) treated in hospital emergency departments (EDs) in Spain, and to assess associations between characteristics and outcomes. MATERIAL AND METHODS: Prospective, multicenter, nested-cohort study. Sixty-one EDs included a random sample of all patients diagnosed with COVID-19 between March 1 and April 30, 2020. Demographic and baseline health information, including concomitant conditions; clinical characteristics related to the ED visit and complementary test results; and treatments were recorded throughout the episode in the ED. We calculated crude and adjusted odds ratios for risk of in-hospital death and a composite outcome consisting of the following events: intensive care unit admission, orotracheal intubation or mechanical ventilation, or in-hospital death. The logistic regression models were constructed with 3 groups of independent variables: the demographic and baseline health characteristics, clinical characteristics and complementary test results related to the ED episode, and treatments. RESULTS: The mean (SD) age of patients was 62 (18) years. Most had high- or low-grade fever, dry cough, dyspnea, and diarrhea. The most common concomitant conditions were cardiovascular diseases, followed by respiratory diseases and cancer. Baseline patient characteristics that showed a direct and independent association with worse outcome (death and the composite outcome) were age and obesity. Clinical variables directly associated with worse outcomes were impaired consciousness and pulmonary crackles; headache was inversely associated with worse outcomes. Complementary test findings that were directly associated with outcomes were bilateral lung infiltrates, lymphopenia, a high platelet count, a D-dimer concentration over 500 mg/dL, and a lactate-dehydrogenase concentration over 250 IU/L in blood. CONCLUSION: This profile of the clinical characteristics and comorbidity of patients with COVID-19 treated in EDs helps us predict outcomes and identify cases at risk of exacerbation. The information can facilitate preventive measures and improve outcomes.

OBJETIVO: Describir las características clínicas de los pacientes con COVID-19 atendidos en los servicios de urgencias hospitalarios (SUH) españoles y evaluar su asociación con los resultados de su evolución. METODO: Estudio multicéntrico, anidado en una cohorte prospectiva. Participaron 61 SUH que incluyeron pacientes seleccionados aleatoriamente de todos los diagnosticados de COVID-19 entre el 1 de marzo y el 30 de abril de 2020. Se recogieron características basales, clínicas, de exploraciones complementarias y terapéuticas del episodio en los SUH. Se calcularon las odds ratio (OR) asociadas a la mortalidad intrahospitalaria y al evento combinado formado por el ingreso en unidad de cuidados intensivos (UCI), la intubación orotraqueal o ventilación mecánica invasiva (IOT/ VMI), crudas y ajustadas con modelos de regresión logística para tres grupos de variables independientes: basales, clínicas y de exploraciones complementarias. RESULTADOS: La edad media fue de 62 años (DE 18). La mayoría manifestaron fiebre, tos seca, disnea, febrícula y diarrea. Las comorbilidades más frecuentes fueron las enfermedades cardiovasculares, seguidas de las respiratorias y el cáncer. Las variables basales que se asociaron independientemente y de forma directa a peores resultados evolutivos (tanto a mortalidad como a evento combinado) fueron edad y obesidad; las variables clínicas fueron disminución de consciencia y crepitantes a la auscultación pulmonar, y de forma inversa cefalea; y las variables de resultados de exploraciones complementarias fueron infiltrados pulmonares bilaterales y cardiomegalia radiológicos, y linfopenia, hiperplaquetosis, dímero-D > 500 mg/dL y lactato-deshidrogenasa > 250 UI/L en la analítica. CONCLUSIONES: Conocer las características clínicas y la comorbilidad de los pacientes con COVID-19 atendidos en urgencias permite identificar precozmente a la población más susceptible de empeorar, para prever y mejorar los resultados.

Posibilidades de intervención sobre el tabaquismo de las gestantes desde Atención Primaria / Possibilities of intervention on smoking habit of pregnant women from Primary Care

OBJETIVO: Reducir la prevalencia del tabaquismo en las gestantes atendidas en su centro de salud. Pacientes y método: La muestra englobó a 81 gestantes sobre las que se realizaron actividades de intervención comunitaria y asistencial. La información se obtuvo de las historias clínicas suplementadas por encuesta estructurada. RESULTADOS: Se registra un 18,1% de tabaquismo activo y un 83% de tabaquismo pasivo. En el embarazo dejan de fumar el 46,2%, reducen un 30,8% y siguen fumando un 23%. En lo concerniente a la intervención clínica, la detección del tabaquismo solo fue previa al embarazo en el 23%. La intervención más frecuente fue el consejo breve 58,4% y realizado por DUE 62,5%. Respecto a las actividades propuestas de intervención comunitaria, un 15% de las embarazadas seguidas en el centro decidió acudir a los talleres y una acudió a consulta antitabaco específica para intervención intensiva. CONCLUSIONES: La gestación brinda una oportunidad de oro en la intervención sobre el tabaquismo desde Atención Primaria. Sin embargo, existe un empleo deficiente de las herramientas clínicas disponibles en nuestro sistema y una escasa respuesta a las actividades propuestas. Esto nos conduce a plantear la necesidad de una intervención proactiva sobre el tabaquismo de la gestante

OBJECTIVE: Reduce the prevalence of smoking in pregnant women seen in their health care site. Patients and method. The simple includes 81 pregnant women on whom Community and care activities were conducted. The information was obtained from the clinical histories supplemented by structured survey. RESULTS: A total of 18.1% of active smoking and 83% of passive smoking were registered. In pregnancy, 46.2% stopped smoking, 30.8% reduced smoking and 23% continued to smoke. In regards to the clinical intervention, detection of smoking was only prior to pregnancy in 23%. The most frequent intervention was brief advice in 58.4% and by Nurses in 62.5%. Regarding the Community intervention activities proposed, 15% of the pregnant women followed in the site went to workshops and to a specific anti-smoking visit for intensive intervention. CONCLUSIONS: Pregnancy offers a Golden opportunity in the intervention on the smoking habit from Primary Care. However, there is deficient use of the available clinical tools in our system and limited response to the activities proposed. This leads us to consider the need for a proactive intervention on smoking habit in pregnancy