In this article, we present a flow cytometry assay by which human blood monocyte subpopulations-classical (CD14 11 CD16 2 ), intermediate (CD14 11 CD16 1 ), and nonclassical (CD14 1 CD16 11 ) monocytes-can be determined. Monocytic cells were selected from CD45 1 leukocyte subsets by differential staining of the low-density lipoprotein receptor-related protein 1 (LRP1), which allows reducing the spill-over of natural killer cells and granulocytes into the CD16 1 monocyte gate. Percentages of monocyte subpopulations established by this procedure were significantly comparable with those obtained by a well-standardized flow cytometry assay based on the HLA-DR monocyte-gating strategy. We also demonstrated that LRP1 is differentially expressed at cell surface of monocyte subpopulations, being significantly lower in nonclassical monocytes than in classical and intermediate monocytes. Cell surface expression of LRP1 accounts for only 20% of the total cellular content in each monocyte subpopulation. Finally, we established the within-individual biological variation (bCV%) of circulating monocyte subpopulations in healthy donors, obtaining values of 21%, 20%, and 17% for nonclassical, intermediate, and classical monocytes, respectively. Similar values of bCV% for LRP1 measured in each monocyte subpopulation were also obtained, suggesting that its variability is mainly influenced by the intrinsic biological variation of circulating monocytes. Thus, we conclude that LRP1 can be used as a third pan-monocytic marker together with CD14 and CD16 to properly identify monocyte subpopulations. The combined determination of monocyte subpopulations and LRP1 monocytic expression may be relevant for clinical studies of inflammatory processes, with special interest in atherosclerosis and cardiovascular disease. V C 2014 International Society for Advancement of Cytometry

The goal of our study was to use statistical analysis to try to associate cardiovascular disease (CVD) risk scores and the observed prevalence of subclinical atherosclerosis (SA) in a non-elderly adult local population. An observational cross-sectional study was carried out (143 male and 131 female) on non-elderly adults (20-59 years). CVD risk scores included Framingham Risk Scores for 10-year hard (FRS 10 H), 30-year lipid hard or CVD (FRS 30 L H or FRS 30 L CVD), 30 year-body mass index hard or CVD (FRS 30 BMI H or FRS 30 BMI CVD) and Pooled Cohort Risk Equations for either 10 years (PCE 10) or lifetime (PCE LT). The Carotid Ultrasound (CU) study was performed and the Coronary Artery Calcium (CAC) score were obtained to assess SA. The Receiving Operating Characteristic (ROC) curve analysis followed by Youden's index was used to evaluate and adjust the stratification of CVD risk scores. SA was detected in 32.4% of individuals. The risk scores that showed the biggest areas under the ROC curve were FRS 30 L (H and CVD). When the cut-off values for these CVD risk scores were adjusted, the FRS 30 L H increased the negative predictive value for the low risk group from 87.7 to 97.0% and the FRS 30 L CVD increased the positive predictive values for the high risk group from 69.7 to 85.7%. The CVD risk stratification of non-elderly adults using FRS 30 L H and FRS 30 L CVD may be a useful tool for selecting candidate patients for diagnostic imaging studies that assess their SA prevalence.

Resumen:Nuestros objetivos fueron determinar la etiología y analizar los perfiles de resistencia antimicrobiana de los microorganismos causantes de infecciones urinarias no complicadas en nuestro medio. Se realizó un estudio analítico de corte transversal. Se analizó la resistencia antimicrobiana in vitro de los urocultivos.Se incluyeron 580 urocultivos de mujeres mayores de 15 años. Un 82.6% de urocultivos correspondieron a cistitis y el 17.4% a pielonefritis. Se obtuvieron 353 urocultivos de mujeres < 50 años (60.9%) y 227 a ≥ 50 años (39.1%). Los patógenos más frecuentes fueron: Escherichia coli (85.5%) y Klebsiella pneumoniae (4.7%). Se encontró una resistencia de E coli a trimetoprima-sulfametoxazol del 28.6%, a ciprofloxacina de 7.9% y a nitrofurantoína de 0.4%. Se evidenció diferencia significativa (p=0.005) en la resistencia de E coli a ciprofloxacina en las mujeres ≥50 años de edad. Nuestros datos muestran que existe una baja resistencia in vitro a nitrofurantoína. Palabras clave: cistitis, pielonefritis, resistencia a antibióticos. Abstract:Our objectives were to determine the etiology and analyze the antibiotic resistance profiles of microorganisms causing uncomplicated urinary tract infections in our setting. An analytical cross-sectional study was conducted. In vitro antimicrobial resistance of urine cultures was analyzed.580 urine cultures of women over age fifteen were included. 82.6 % of urine cultures corresponded to cystitis and the remaining 17.4 % corresponded to pyelonephritis. 353 urine cultures of women <50 years old (60.9%) and 227 of women ≥ 50 years old (39.1%) were obtained. The most common pathogens were Escherichia coli (85.5 %) and Klebsiella pneumoniae (4.7 %).For Escherichia coli, there was a resistance of 28.6% to trimethoprim-sulfamethoxazole,7.9% to ciprofloxacin and 0.4% to nitrofurantoin. Significant difference (p = 0.005) was seen in the resistance to ciprofloxacin in women ≥ 50 years old.Our data show there is a low in vitro resistance to nitrofurantoin.

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Introducción: La enfermedad COVID-19 muestra una marcada heterogeneidad en su curso clínico, habiéndose descripto algunos factores que se asocian un peor pronóstico. El conocimiento del comportamiento de la enfermedad en el escenario local es de gran relevancia para permitir un mejor abordaje.  Métodos: Estudio retrospectivo en dos hospitales de la ciudad de Córdoba, Argentina, de pacientes de 18 años o más hospitalizados por infección activa por SARS-CoV-2, desde marzo a octubre del año 2020.  Resultados: Se incluyeron 448 pacientes, de los cuales el 95.75% correspondieron a neumonía COVID-19. La mayoría de los episodios ocurrieron en hombres (63.6%), la mediana de edad fue 63 años (RIC:53-75), y las comorbilidades más frecuentes fueron hipertensión arterial (55.1%), obesidad (31.7%) y diabetes mellitus (28.1%). Requirieron ingreso a unidad de cuidados intensivos 162 pacientes (36.2%) y 66 (14.7%), asistencia respiratoria mecánica. Fallecieron 67 pacientes (15%) dentro de los primeros 30 días de seguimiento. En el análisis multivariado la única variable independiente predictora de mortalidad a los 30 días fue la edad (Odds ratio ajustado [ORa]=1.08, IC95%=1.04-1.11, p<0.001). Los scores pronósticos 4C-Score y CALL-Score presentaron muy buena discriminación (Área bajo la curva [ABC]=0.766, IC95%=0.72-0.80 y ABC=0.785, IC95%=0.70-0.85, respectivamente) y los porcentajes predichos de mortalidad se aproximaron bastante a lo observado en el presente estudio.  Conclusiones: La mayoría de los pacientes hospitalizados por infección por SARS-CoV-2 presentaban comorbilidades y se presentaron como neumonía, asociada a una elevada mortalidad. Los scores pronósticos con mejor rendimiento para predecir complicaciones fueron el 4C-Score y el CALL score.