Fragilidad en pacientes mayores de 65 años ingresados en cuidados intensivos (FRAIL-ICU) / Frailty in patients over 65 years of age admitted to Intensive Care Units (FRAIL-ICU)

Objetivo: Estimar la prevalencia de fragilidad en pacientes ingresados en cuidados intensivos (UCI) y su impacto sobre la mortalidad intra UCI, al mes y a los 6 meses. Diseño: Estudio de cohorte prospectiva. Ámbito: UCI polivalentes españolas. Intervención: Ninguna. Pacientes y métodos: Pacientes≥65 años ingresados en UCI>24horas. Se recogieron las variables al ingreso y la situación basal por teléfono al mes y a los 6 meses del alta de UCI. Variables de interés principal: Edad, sexo, fragilidad (escala FRAIL), situación basal (Barthel, Lawton, Clinical Dementia Rating y Nutric Score), días de ventilación mecánica (VM), escalas de gravedad (APACHE II y SOFA), mortalidad UCI, al mes y a los 6 meses del alta. Resultados: Ciento treinta y dos pacientes, 46 frágiles (34,9%). Pacientes frágiles vs. no frágiles: 78,8±7,2 vs. 78,6±6,4 años (p=0,43), varones 43,8% vs. 56,3% (p=0,10), SOFA 4,7±2,9 vs. 4,6±2,9 (p=0,75), VM 33.3% vs. 66,7% (p=0,75), días de VM 5,6±15 vs. 4,3±8,1 (p=0,57), mortalidad UCI 13% versus 6% (p = 0,14), mortalidad al mes 24% versus 8% (p = 0,01), mortalidad 6 meses 32% versus 15% (p = 0,03). La fragilidad se asocia con la mortalidad al mes (OR = 3,5; p <0,05, IC del 95% (1,22-10,03) y a los 6 meses del alta de UCI (OR = 2,62; p <0,05, IC del 95% (1,04-6,56). Conclusiones: La fragilidad está presente en el 35% de los pacientes ingresados en UCI, asociándose a la mortalidad

Objective: To estimate the prevalence of frailty in patients admitted to the Intensive Care Unit (ICU) and its impact upon ICU mortality at 1 and 6 months. Design: A prospective observational cohort study was carried out. Setting: Spanish ICU. Intervention: None. Patients and methods: Patients≥65 years of age admitted to the ICU for>24hours. Variables were registered upon admission, and functional status was assessed by telephone calls 1 and 6 months after discharge from the ICU. Main study variables: Age, gender, frailty (FRAIL scale), functional status (Barthel, Lawton, Clinical Dementia Rating and NUTRIC score), days of mechanical ventilation (MV), functional score (APACHE II and SOFA), ICU mortality, and mortality 1 and 6 months after ICU discharge. Results: A total of 132 patients were evaluated, of which 46 were frail (34.9%). Age of the frail versus non-frail patients: 78.8±7.2 and 78.6±6.4 years, respectively (P=.43); male gender: 43.8% versus 56.3% (P=.10); SOFA score: 4.7±2.9 versus 4.6±2.9 (P=.75); MV: 33.3% versus 66.7% (P=.75); days of MV: 5.6±15 versus 4.3±8.1 (P=.57); ICU mortality 13% versus 6% (P = .14), mortality at 1 month 24% versus 8% (P = .01), mortality 6 months 32% versus 15% (P = .03). Frailty is associated with mortality at one month (OR = 3.5, P <.05, 95% CI (1.22-10.03) and at 6 months after discharge from the ICU (OR = 2.62, P <.05, 95% CI (1.04-6.56). Conclusions: Frailty was present in 35% of the patients admitted to the ICU, and was associated with mortality

Frailty in patients over 65 years of age admitted to Intensive Care Units (FRAIL-ICU). / Fragilidad en pacientes mayores de 65 años ingresados en cuidados intensivos (FRAIL-ICU).

OBJECTIVE: To estimate the prevalence of frailty in patients admitted to the Intensive Care Unit (ICU) and its impact upon ICU mortality at 1 and 6 months. DESIGN: A prospective observational cohort study was carried out. SETTING: Spanish ICU. INTERVENTION: None. PATIENTS AND METHODS: Patients≥65 years of age admitted to the ICU for>24hours. Variables were registered upon admission, and functional status was assessed by telephone calls 1 and 6 months after discharge from the ICU. MAIN STUDY VARIABLES: Age, gender, frailty (FRAIL scale), functional status (Barthel, Lawton, Clinical Dementia Rating and NUTRIC score), days of mechanical ventilation (MV), functional score (APACHE II and SOFA), ICU mortality, and mortality 1 and 6 months after ICU discharge. RESULTS: A total of 132 patients were evaluated, of which 46 were frail (34.9%). Age of the frail versus non-frail patients: 78.8±7.2 and 78.6±6.4 years, respectively (P=.43); male gender: 43.8% versus 56.3% (P=.10); SOFA score: 4.7±2.9 versus 4.6±2.9 (P=.75); MV: 33.3% versus 66.7% (P=.75); days of MV: 5.6±15 versus 4.3±8.1 (P=.57); ICU mortality 13% versus 6% (P = .14), mortality at 1 month 24% versus 8% (P = .01), mortality 6 months 32% versus 15% (P = .03). Frailty is associated with mortality at one month (OR = 3.5, P <.05, 95% CI (1.22-10.03) and at 6 months after discharge from the ICU (OR = 2.62, P <.05, 95% CI (1.04-6.56). CONCLUSIONS: Frailty was present in 35% of the patients admitted to the ICU, and was associated with mortality.

Photo response of silver-TiO2 film.

Silver and TiO2 films were deposited on glass substrates via the plasma sputter type negative ion source and a compact planar magnetron, respectively. A silver target was biased and is sputtered by argon plasma for 30 min. TiO2 was deposited by sputtering a titanium disk and introducing oxygen in a 1:13 ratio with argon plasma for 2 h. The resulting composite films (silver on TiO2 and TiO2 on silver) were analyzed by its transmissivity in the UV-VIS region showing increased optical absorbance. The synthesized films were used in the photocatalytic degradation of methylene blue showing an increase in photocatalytic degradation when only TiO2 is used. The introduction of silver with TiO2 inhibited the effective photocatalytic degradation of methylene blue.

Comparison of the epidemiological behavior of mastitis pathogens by applying time-series analysis in results of milk samples submitted for microbiological examination.

The objective of this study is to examine and compare the trends of mastitis pathogens in quarter milk samples (n = 240,232) submitted for microbiological examination at the Milk Analysis Laboratory (L.I.G.A.L.) at Galicia, Spain from June 2005 to September 2011. Autoregressive Integrated Moving Average (ARIMA) models and multivariate statistical techniques such as Cluster Analysis were used in order to detect seasonal trends and similarities between the series trends and to classify mastitis pathogens into relatively homogeneous groups. The decrease of bulk milk somatic cell counts achieved by the mastitis control program, developed in recent years in this region, is the result of the decrease in IMI caused by a limited number of mastitis pathogens. The obtained results reflect a greater complexity in the behavior of mastitis pathogens, unlike the traditional classification into contagious or environmental. Staphylococcus aureus showed a trend similar to Streptococcus dysgalactiae, a mastitis pathogen can behave in both a contagious and an environmental manner. Among the traditionally considered environmental mastitis pathogens, Strep. uberis showed a different behavior to Escherichia coli and Klebsiella pneumoniae. Coagulase-negative staphylococci (CNS) species and Streptococcus other than Strep. agalactiae showed differences in the trend model. Time-series analysis and multivariate statistical techniques, such as Cluster Analysis, could be powerful tools to assess the isolation trend of mastitis pathogens because of their ability to cope with stochastic dependence of consecutive data. Furthermore, they could be used to identify the epidemiological behavior of mastitis pathogens using the results of milk samples submitted for routine microbiological examination, by classifying them into relatively homogeneous groups.

Tumor burden and serum level of soluble CD25, CD8, CD23, CD54 and CD44 in non-Hodgkin's lymphoma.

We studied the value of soluble CD25, CD8, CD23, CD54 and CD44 serum levels as tumor burden markers in lymphoma. Soluble CD25 compared with the others sCD and the usual serum factors (albumin, lactate dehydrogenase, beta 2-microglobulin, uric acid and C-reactive protein), showed the strongest correlation with the Ann Arbor stage and the number of affected localizations. sCD25 level is the most sensitive serum marker for tumor burden in lymphoma.