Application, verification and correction from an elaborate checklist with some of the recommendations («do and do not do¼) of the SEMICYUC working groups. / Aplicación, comprobación y corrección a partir de un checklist elaborado con algunas de las recomendaciones («hacer y no hacer¼) de los grupos de trabajo de la SEMICYUC.

OBJECTIVE: Based on some of the recommendations of the SEMICYUC working groups, we developed a checklist and applied it in 2 periods, analyzing their behavior as a tool for improving safety. DESIGN: A comparative pre- and post-intervention longitudinal study was carried out. SETTING: The Intensive Care Unit (ICU) of a 400-bed university hospital. PATIENTS: Random cases series in 2 periods separated by 6 months. INTERVENTIONS: We developed a checklist with 24 selected indicators that were randomly applied to 50 patients. Verification was conducted by a professional not related to care (prompter). We analyzed the results and compliance index and carried out corrective measures with training. With 6 months of preparation, we again applied the random checklist to 50 patients (post-intervention period) and compared the compliance indexes between the two timepoints. RESULTS: There were no differences in demographic characteristics or evolution between the periods. The compliance index at baseline was 0.86±0.12 versus 0.91±0.52 in the post-intervention period (P=.023). An acceptable compliance index was obtained with the 24 indicators, though at baseline the compliance index was<0.85 for 5 recommendations. These detected non-compliances were worked upon through training in the second phase of the study. The post-intervention checklist evidenced improvement in compliance with the recommendations. CONCLUSIONS: The checklist used to assess compliance with a selection of recommendations of the SEMICYUC applied and moderated by a prompter was seen to be a useful instrument allowing us to identify points for improvement in the management of Intensive Care Unit patients, increasing the quality and safety of care.

Reply to 'Antibiotic resistance: thinking outside the hospital' / Respuesta a «Resistencia a antibióticos: pensando fuera del hospital»

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Antibiotic prophylaxis against ventilator-associated pneumonia in patients with coma: Where are we now? / Profilaxis antibiótica contra la neumonía asociada a la ventilación en pacientes en coma: ¿dónde estamos ahora?

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Técnicas «Lean» para la mejora del flujo de los pacientes críticos de una región sanitaria con epicentro en el servicio de medicina intensiva de un hospital de referencia / Lean techniques to improve the flow of critically ill patients in a health region with its epicenter in the intensive care unit of a reference hospital

OBJETIVO: Analizar si la aplicación de técnicas «Lean» mejora el flujo de pacientes críticos de una región sanitaria, tomando como epicentro el servicio de medicina intensiva (UCI) del hospital de referencia. DISEÑO: Estudio observacional con análisis pre y postintervención. ÁMBITO: UCI del hospital de referencia. PACIENTES: Diseñamos proyectos y un mapa de flujo y comparamos características pre y postintervención. INTERVENCIONES: Registramos datos demográficos, de traslados de pacientes por el SEM por falta de camas y los tiempos de demora en la hora de alta de la UCI a planta de hospitalización. Realizamos reuniones multidisciplinarias y panel visual diario, con priorización de altas de UCI. Promovimos la reubicación temporal de pacientes críticos en otras áreas especiales del hospital. Cuestionario de satisfacción profesional con valoración pre y postintervención. Análisis estadístico de las comparaciones pre y postintervención. RESULTADOS: Se planificó durante 2013 y se implementó de forma progresiva en 2014. Las medidas principales fueron: 1) análisis de la entrada de pacientes al flujo del proceso de críticos, evaluando los pacientes que deben trasladarse por falta de camas, centrados en un diagnóstico y un área: 10/22 pre vs. 3/21 post (p = 0,045); 2) análisis del tiempo de demora en la hora de alta de UCI a planta de hospitalización: 360,8 ± 163,9 min en el primer periodo vs. 276,7 ± 149,5 en el segundo (p = 0,036); y 3) cuestionario de satisfacción profesional personal, con 6,6 ± 1,5 puntos pre vs. 7,5 ± 1,1 en post (p = 0,001). Análisis de los indicadores de UCI, como son las infecciones adquiridas, los días de estancia, la tasa de reingresos y la mortalidad, sin diferencias significativas entre ambos periodos. CONCLUSIONES: La aplicación de técnicas ‘Lean’ en el proceso de críticos tuvo un impacto positivo en la mejora del flujo de pacientes dentro de la región sanitaria, observando una disminución de los traslados fuera de la región por falta de camas, una reducción en la demora del alta de UCI a hospitalización convencional y un aumento de la satisfacción de los profesionales de la UCI de referencia

OBJECTIVE: To analyze whether the application of Lean techniques to improve the flow of critically ill patients in a health region with its epicenter in the intensive care unit (ICU) of a reference hospital. DESIGN: Observational study with pre and post intervention analysis. SETTING: ICU of a reference hospital. PATIENTS: We design projects and a value stream map of flow and compared pre and post intervention. INTERVENTIONS: We recorded demographic data, patient transfers by EMS for lack of beds and delay times in the discharge from ICU to ward. Multidisciplinary meetings and perform daily visual panel, with high priority ICU discharge. We promote temporary relocation of critically ill patients in other special areas of the hospital. We performed a professional satisfaction questionnaire with pre and post implementation of process. We make a statistical analysis of pre and post-intervention comparisons. Results: We planned for 2013 and progressively implemented in 2014. Analysis of patients entering the critical process flow 1) evaluate patients who must transfer for lack of beds, focusing on a diagnosis: pre 10/22 vs. 3/21 post (P = .045); 2) analysis of time delay in the discharge from the ICU to ward: 360.8 ± 163.9 minutes in the first period vs. 276.7 ± 149.5 in the second (P = .036); and 3) personal professional satisfaction questionnaire, with 6.6 ± 1.5 points pre vs. 7.5 ± 1.1 in post (P = .001). Analysis of indicators such as the ICU acquired infections, length of ICU stay, the rate of re-admissions and mortality, with no significant differences between the two periods. Conclusions: The application of Lean techniques in the critically ill process had a positive impact on improving patient flow within the health region, noting a decrease of transfers outside the region due to lack of beds, reduced delayed discharge from ICU to conventional ward and increased satisfaction of ICU professionals

Predictive factors of mortality in severe community-acquired pneumonia: A model with data on the first 24h of ICU admission

OBJECTIVE: To construct a model of factors predicting mortality in severe community-acquired pneumonia (SCAP) with data on the first 24h after admission to the intensive care unit (ICU). DESIGN: A prospective, observational study was carried out. SETTING: The ICU of a university hospital. PATIENTS: ICU-admitted patients with SCAP were studied prospectively. INTERVENTIONS: Admission pneumonia scores were calculated, and clinical variables were registered during the first 24h. Relationships between predictors of mortality at 28 days were assessed by means of a multivariate logistic regression model. RESULTS: A total number of 242 SCAP patients were evaluated. The SAPS II severity score was 37.2 ± 15.5 points. Bivariate analysis showed high mortality to be more frequent in elderly patients, as well as in patients with high SAPS II scores, neoplastic disease or chronic renal failure. The other prognostic factors related to increased mortality included mechanical ventilation, acute respiratory distress syndrome (ARDS), acute renal failure, bacteremia, and septic shock. Mortality at 28 days was 23.1% (56 patients). Multivariate analysis of the risk factors generated a new predictive model of mortality applicable within the first 24 h after ICU admission and comprising 5 main factors: age, CURB severity score 3-4, septic shock, ARDS, and acute renal failure. CONCLUSIONS: Age in years, CURB score 3-4, septic shock, ARDS, and acute renal failure during the first 24h of ICU admission were found to be independent predictors of mortality in SCAP patients

OBJETIVO: Construir un modelo de factores predictivos de mortalidad en la neumonía adquirida en la comunidad grave (NACG) utilizando los datos de las primeras 24h de ingreso en la unidad de cuidados intensivos (UCI). DISEÑO: Estudio prospectivo y observacional. Ámbito: UCI de un hospital universitario. PACIENTES: Se estudiaron de forma prospectiva los pacientes ingresados en la UCI con el diagnóstico de NACG. INTERVENCIONES: Se calcularon las escalas de neumonía y se registraron las variables clínicas en las primeras 24h del ingreso en la UCI. Para evaluar los factores predictores de mortalidad a los 28 días, se construyó un modelo multivariado de regresión logística. RESULTADOS: Un total de 242pacientes con NACG fueron analizados. La puntuación de gravedad por el SAPSII fue de 37,2±15,5 puntos. El análisis bivariado mostró una mayor mortalidad en pacientes de edad avanzada, con una puntuación de SAPSII alta, enfermedad neoplásica o insuficiencia renal crónica. Otros factores pronóstico relacionados con el aumento de la mortalidad fueron la ventilación mecánica, el síndrome de distrés respiratorio agudo (SDRA), la insuficiencia renal aguda, y el shock séptico o la bacteriemia. La mortalidad a los 28días fue del 23,1% (56pacientes). El análisis multivariado de los factores de riesgo permitió construir un nuevo modelo predictivo de mortalidad aplicable en las primeras 24h de ingreso en la UCI, que consistió en 5 factores: edad, CURB score 3-4, shock séptico, SDRA e insuficiencia renal aguda. CONCLUSIONES: La edad en años, el CURB score 3-4, el shock séptico, el SDRA y la insuficiencia renal aguda evaluados en las primeras 24h de ingreso en la UCI fueron factores de riesgo independientes de mortalidad en pacientes con NACG

Impact of administration of vancomycin or linezolid to critically ill patients with impaired renal function.

The aim of this study was to assess the impact of vancomycin (VAN) versus linezolid (LZD) on renal function in patients with renal failure (RF) admitted to intensive care units. This was a multicenter, retrospective, comparative cohort study. Renal failure patients were treated with VAN or LZD for proven or suspected infections by multiresistant Gram-positive cocci. Changes in plasma creatinine levels and creatinine clearance at the start and end of treatment were used as endpoints. A total of 147 patients were treated with VAN (group A, n = 68) or LZD (group B, n = 79). Group B included more patients with diabetes mellitus [9 (13.2%) vs. 25 (31.6%); p = 0.007], septic shock [39 (57.4%) vs. 60 (75.9%); p = 0.013] and greater RF (mean ClCr 42.24 ml/min vs. 37.57 ml/min; p = 0.04). Renal function improved in patients from both groups who did not require renal replacement therapy. A greater improvement was seen in group B [percent decrease in Cr (27.94 vs. 9.48; p = 0.02) and percent increase in ClCr (95.96 vs. 55.06; p = 0.05)]. In group A, nine patients (13.2%) experienced an antibiotic-related increase in RF, and antibiotic was discontinued in five patients due to adverse effects. It is reasonable to avoid use of VAN in critically ill patients with acute renal failure.