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1.
N Engl J Med ; 360(1): 20-31, 2009 Jan 01.
Artículo en Inglés | MEDLINE | ID: mdl-19118302

RESUMEN

BACKGROUND: Selective digestive tract decontamination (SDD) and selective oropharyngeal decontamination (SOD) are infection-prevention measures used in the treatment of some patients in intensive care, but reported effects on patient outcome are conflicting. METHODS: We evaluated the effectiveness of SDD and SOD in a crossover study using cluster randomization in 13 intensive care units (ICUs), all in The Netherlands. Patients with an expected duration of intubation of more than 48 hours or an expected ICU stay of more than 72 hours were eligible. In each ICU, three regimens (SDD, SOD, and standard care) were applied in random order over the course of 6 months. Mortality at day 28 was the primary end point. SDD consisted of 4 days of intravenous cefotaxime and topical application of tobramycin, colistin, and amphotericin B in the oropharynx and stomach. SOD consisted of oropharyngeal application only of the same antibiotics. Monthly point-prevalence studies were performed to analyze antibiotic resistance. RESULTS: A total of 5939 patients were enrolled in the study, with 1990 assigned to standard care, 1904 to SOD, and 2045 to SDD; crude mortality in the groups at day 28 was 27.5%, 26.6%, and 26.9%, respectively. In a random-effects logistic-regression model with age, sex, Acute Physiology and Chronic Health Evaluation (APACHE II) score, intubation status, and medical specialty used as covariates, odds ratios for death at day 28 in the SOD and SDD groups, as compared with the standard-care group, were 0.86 (95% confidence interval [CI], 0.74 to 0.99) and 0.83 (95% CI, 0.72 to 0.97), respectively. CONCLUSIONS: In an ICU population in which the mortality rate associated with standard care was 27.5% at day 28, the rate was reduced by an estimated 3.5 percentage points with SDD and by 2.9 percentage points with SOD. (Controlled Clinical Trials number, ISRCTN35176830.)


Asunto(s)
Bacteriemia/prevención & control , Infección Hospitalaria/prevención & control , Descontaminación , Tracto Gastrointestinal/microbiología , Orofaringe/microbiología , APACHE , Anciano , Antibacterianos/uso terapéutico , Bacteriemia/epidemiología , Enfermedad Crítica/mortalidad , Enfermedad Crítica/terapia , Infección Hospitalaria/epidemiología , Estudios Cruzados , Femenino , Bacterias Gramnegativas/aislamiento & purificación , Humanos , Control de Infecciones/métodos , Unidades de Cuidados Intensivos , Modelos Logísticos , Masculino , Persona de Mediana Edad , Respiración Artificial
2.
Clin Pharmacol Ther ; 83(3): 443-51, 2008 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-17687274

RESUMEN

As oversedation is still common and significant variability between and within critically ill patients makes empiric dosing difficult, the population pharmacokinetics and pharmacodynamics of propofol upon long-term use are characterized, particularly focused on the varying disease state as determinant of the effect. Twenty-six critically ill patients were evaluated during 0.7-9.5 days (median 1.9 days) using the Ramsay scale and the bispectral index as pharmacodynamic end points. NONMEM V was applied for population pharmacokinetic and pharmacodynamic modeling. Propofol pharmacokinetics was described by a two-compartment model, in which cardiac patients had a 38% lower clearance. Severity of illness, expressed as a Sequential Organ Failure Assessment (SOFA) score, particularly influenced the pharmacodynamics and to a minor degree the pharmacokinetics. Deeper levels of sedation were found with an increasing SOFA score. With severe illness, critically ill patients will need downward titration of propofol. In patients with cardiac failure, the propofol dosages should be reduced by 38%.


Asunto(s)
Enfermedad Crítica , Modelos Químicos , Propofol/farmacología , Propofol/farmacocinética , Índice de Severidad de la Enfermedad , Adulto , Anciano , Anciano de 80 o más Años , Enfermedad Crítica/terapia , Relación Dosis-Respuesta a Droga , Femenino , Humanos , Masculino , Persona de Mediana Edad , Propofol/sangre , Factores de Tiempo
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