Fluid balance, biomarkers of renal function and mortality in critically ill patients with AKI diagnosed before, or within 24 h of intensive care unit admission: a prospective study.

BACKGROUND: To evaluate fluid balance, biomarkers of renal function and its relation to mortality in patients with acute kidney injury (AKI) diagnosed before, or within 24 h of intensive care unit admission. METHODS: A prospective cohort study considered 773 critically ill patients observed over six years. Pre-intensive care unit-onset AKI was defined as AKI diagnosed before, or within 24 h of intensive care unit admission. Body weight-adjusted fluid balance and fluid balance-adjusted biomarkers of renal function were measured daily for the first three days of intensive care unit admission. Primary outcome was mortality in the intensive care unit. RESULTS: Prevalence of pre-intensive care unit-onset AKI was 55.1%, of which 55.6% of cases were hospital-acquired and 44.4% were community-acquired. Fluid balance was higher in AKI patients than in non-AKI patients (p < 0.001) and had a negative correlation with urine output (p < 0.01). Positive fluid balance and biomarkers of renal function were independently related to mortality. Multivariate analysis identified the following AKI-related variables associated with increased mortality: (1) In AKI patients: type 1 cardiorenal syndrome (OR 2.00), intra-abdominal hypertension (OR 1.71), AKI stage 3 (OR 2.15) and increase in AKI stage (OR 4.99); 2) In patients with community-acquired AKI: type 1 cardiorenal syndrome (OR 5.16), AKI stage 2 (OR 2.72), AKI stage 3 (OR 4.95) and renal replacement therapy (OR 3.05); and 3) In patients with hospital-acquired AKI: intra-abdominal hypertension (OR 2.31) and increase in AKI stage (OR 4.51). CONCLUSIONS: In patients with pre-intensive care unit-onset AKI, positive fluid balance is associated with worse renal outcomes. Positive fluid balance and decline in biomarkers of renal function are related to increased mortality, thus in this subpopulation of critically ill patients, positive fluid balance is not recommended and renal function must be closely monitored.

Critically ill patients with cancer: A clinical perspective.

Cancer patients account for 15% of all admissions to intensive care unit (ICU) and 5% will experience a critical illness resulting in ICU admission. Mortality rates have decreased during the last decades because of new anticancer therapies and advanced organ support methods. Since early critical care and organ support is associated with improved survival, timely identification of the onset of clinical signs indicating critical illness is crucial to avoid delaying. This article focused on relevant and current information on epidemiology, diagnosis, and treatment of the main clinical disorders experienced by critically ill cancer patients.

Outcomes of ventilatory asynchrony in patients with inspiratory effort. / Resultados de la asincronía ventilatoria en pacientes con esfuerzo inspiratório.

OBJECTIVE: To identify the relationship of patient-ventilator asynchrony with the level of sedation and hemogasometric and clinical results. METHODS: This was a prospective study of 122 patients admitted to the intensive care unit who underwent > 24 hours of invasive mechanical ventilation with inspiratory effort. In the first 7 days of ventilation, patient-ventilator asynchrony was evaluated daily for 30 minutes. Severe patient-ventilator asynchrony was defined as an asynchrony index > 10%. RESULTS: A total of 339,652 respiratory cycles were evaluated in 504 observations. The mean asynchrony index was 37.8% (standard deviation 14.1 - 61.5%). The prevalence of severe patient-ventilator asynchrony was 46.6%. The most frequent patient-ventilator asynchronies were ineffective trigger (13.3%), autotrigger (15.3%), insufficient flow (13.5%), and delayed cycling (13.7%). Severe patient-ventilator asynchrony was related to the level of sedation (ineffective trigger: p = 0.020; insufficient flow: p = 0.016; premature cycling: p = 0.023) and the use of midazolam (p = 0.020). Severe patient-ventilator asynchrony was also associated with hemogasometric changes. The persistence of severe patient-ventilator asynchrony was an independent risk factor for failure of the spontaneous breathing test, ventilation time, ventilator-associated pneumonia, organ dysfunction, mortality in the intensive care unit, and length of stay in the intensive care unit. CONCLUSION: Patient-ventilator asynchrony is a frequent disorder in critically ill patients with inspiratory effort. The patient's interaction with the ventilator should be optimized to improve hemogasometric parameters and clinical results. Further studies are required to confirm these results.

Resultados de la asincronía ventilatoria en pacientes con esfuerzo inspiratório / Outcomes of ventilatory asynchrony in patients with inspiratory effort

RESUMO Objetivo: Identificar la relación de la asincronía paciente-ventilador con el nivel de sedación y evaluar la asociación con los resultados hemogasométricos y clínicos. Métodos: Estudio prospectivo de 122 pacientes admitidos en la unidad de cuidados intensivos con > 24 horas de ventilación mecánica invasiva y esfuerzo inspiratorio. En los primeros 7 días de ventilación, diariamente se evaluó la asincronía paciente-ventilador durante 30 minutos. La asincronía paciente-ventilador severa se definió con un índice de asincronía > 10%. Resultados: Se evaluaron 339.652 ciclos respiratorios en 504 observaciones. La media del índice de asincronía fue 37,8% (desviación estándar 14,1% - 61,5%). La prevalencia de asincronía paciente-ventilador severa fue 46,6%. Las asincronías paciente-ventilador más frecuentes fueron: trigger ineficaz (13,3%), auto-trigger (15,3%), flujo insuficiente (13,5%) y ciclado demorado (13,7%). La asincronía paciente-ventilador severa se relacionó con el nivel de sedación (trigger ineficaz: p = 0,020; flujo insuficiente: p = 0,016; ciclado precoz: p = 0,023) y el uso de midazolam (p = 0,020). La asincronía paciente-ventilador severa se asoció con las alteraciones hemogasométricas. La persistencia de la asincronía paciente-ventilador severa fue un factor de riesgo independiente para fracaso en la prueba de ventilación espontánea, tiempo de ventilación, neumonía asociada al ventilador, disfunción de órganos, mortalidad en la unidad de cuidados intensivos y estadía en la unidad de cuidados intensivos. Conclusión: La asincronía paciente-ventilador es un trastorno frecuente en los pacientes críticos con esfuerzo inspiratorio. La interacción del paciente con el ventilador debe optimizarse para mejorar los parámetros hemogasométricos y los resultados clínicos. Se requieren otros estudios que confirmen estos resultados.

Abstract Objective: To identify the relationship of patient-ventilator asynchrony with the level of sedation and hemogasometric and clinical results. Methods: This was a prospective study of 122 patients admitted to the intensive care unit who underwent > 24 hours of invasive mechanical ventilation with inspiratory effort. In the first 7 days of ventilation, patient-ventilator asynchrony was evaluated daily for 30 minutes. Severe patient-ventilator asynchrony was defined as an asynchrony index > 10%. Results: A total of 339,652 respiratory cycles were evaluated in 504 observations. The mean asynchrony index was 37.8% (standard deviation 14.1 - 61.5%). The prevalence of severe patient-ventilator asynchrony was 46.6%. The most frequent patient-ventilator asynchronies were ineffective trigger (13.3%), autotrigger (15.3%), insufficient flow (13.5%), and delayed cycling (13.7%). Severe patient-ventilator asynchrony was related to the level of sedation (ineffective trigger: p = 0.020; insufficient flow: p = 0.016; premature cycling: p = 0.023) and the use of midazolam (p = 0.020). Severe patient-ventilator asynchrony was also associated with hemogasometric changes. The persistence of severe patient-ventilator asynchrony was an independent risk factor for failure of the spontaneous breathing test, ventilation time, ventilator-associated pneumonia, organ dysfunction, mortality in the intensive care unit, and length of stay in the intensive care unit. Conclusion: Patient-ventilator asynchrony is a frequent disorder in critically ill patients with inspiratory effort. The patient's interaction with the ventilator should be optimized to improve hemogasometric parameters and clinical results. Further studies are required to confirm these results.

Performance of three prognostic models in critically ill patients with cancer: a prospective study.

BACKGROUND: The aim of the study was to evaluate the performance of "Acute Physiology and Chronic Health Evaluation II" (APACHE-II), "Simplified Acute Physiology Score 3" (SAPS-3), and "APACHE-II Score for Critically Ill Patients with a Solid Tumor" (APACHE-IICCP) models in cancer patients admitted to ICU. METHODS: Prospective cohort study of 414 patients with an active solid tumor. Discrimination was assessed by area under receiver operating characteristic (AROC) curves and calibration by Hosmer-Lemeshow goodness-of-fit C test (H-L). RESULTS: The hospital mortality rate was 32.6%. In the total cohort, discrimination for prognostic models were: APACHE-IICCP (AROC 0.98), APACHE-II (AROC 0.96), SAPS-3 for Central and South American countries (SAPS-3CSA) (AROC 0.95), and SAPS-3 (AROC 0.91). Calibration was good (p value of H-L test > 0.05) using APACHE-IICCP, APACHE-II and SAPS-3CSA models. Estimation of the probability of death was more precise with APACHE-IICCP (standardized mortality ratio, SMR = 1.03) and SAPS-3 (SMR = 1.08) models. Further analysis showed that discrimination was high with all prognostic model whether for patients with planned ICU admission (AROC APACHE-IICCP 0.97, APACHE-II 0.96, SAPS-3 0.95, SAPS-3CSA 0.95) or for patients with unplanned ICU admission (AROC APACHE-IICCP 0.97, APACHE-II 0.94, SAPS-3 0.86, SAPS-3CSA 0.95). Calibration was good for all predictive models in both subgroups (p value of H-L test > 0.05, except for APACHE-II model inpatients with planned ICU admission). CONCLUSIONS: In this prospective study, general predictive models (e.g., APACHE-II, SAPS-3) and cancer-specific models (e.g., APACHE-IICCP) are accurate in predicting hospital mortality. Other studies confirming these results are required.

Análisis de la situación de salud: consultorio 38, Policlínico Hermanos Cruz: Enero-Junio 2005

Se realizó un estudio con una primera etapa de tipo observacional, descriptiva, retrospectiva y una segunda etapa de intervención en la situación de salud de la comunidad perteneciente al consultorio médico familiar 38 del Policlínico Hermanos Cruz. Se analizaron las principales determinantes de salud (modos y estilos de vida, biología humana, medio ambiente y la organización de los servicios de salud) con la finalidad de determinar los principales problemas existentes. A tal fin la información obtenida fue analizada rigurosamente para lograr la identificación, priorización y explicación de los problemas. La existencia de malos hábitos alimentarios, el sedentarismo generalizado, la no existencia de círculo de adolescentes, la baja incorporación de abuelos a su círculo, la presencia de cerdos en el hogar y los riesgos de accidentes en el mismo, fueron los principales factores de riesgo identificados. La baja incorporación de los abuelos a su círculo, la presencia de cerdos en las viviendas y el deficiente servicio de estomatología, fueron los principales problemas identificados. Posteriormente se elaboró un plan de acción con el objetivo de solucionar estos problemas...(AU)