2014
DOI: 10.1097/mcc.0000000000000140
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Predicting outcome in critical care

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Cited by 9 publications
(4 citation statements)
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“…Although the APACHE II and SOFA score, as well as age, were independently associated, the authors underlined that the models at best explained 20-40 percent of the variability in utility index score [6]. The limitations of the available predictive models for outcome are generally well-recognised, since they are designed to predict hospital mortality instead of long-term outcome and HRQoL [28].…”
Section: Discussionmentioning
confidence: 99%
“…Although the APACHE II and SOFA score, as well as age, were independently associated, the authors underlined that the models at best explained 20-40 percent of the variability in utility index score [6]. The limitations of the available predictive models for outcome are generally well-recognised, since they are designed to predict hospital mortality instead of long-term outcome and HRQoL [28].…”
Section: Discussionmentioning
confidence: 99%
“…Indeed, besides use as benchmarking tools and in inter-ICU comparative studies, accurate outcome prediction based on biomarkers could be extremely useful for improving clinical decision-making. For example, biomarkers could help clinicians to dispense relevant treatments to patients who might benefit from them [ 2 ].…”
Section: Introductionmentioning
confidence: 99%
“…[7][8][9] El principal factor de riesgo para desarrollar SDRA es el choque séptico de etiología pulmonar (OR 4.6, IC95% 1.177-17.9) 10 y la ventilación protectora ha demostrado mejorar la supervivencia en los pacientes con ventilación mecánica, reduciendo la mortalidad a 28 días (RR 0.74, IC95% 0.61-0.88). 11,12 Las diferentes escalas pronósticas (APACHE: Acute Physiology and Chronic Health Evaluation, SAPS: Simplified Acute Physiology Score, MPM: Mortality Probability Model) utilizadas en el paciente críticamente enfermo, ayudan al clínico a evaluar, clasificar y predecir resultados; sin embargo, dichas escalas resultan ser muy «generales» para poblaciones «específicas». 13,14 Lung Injury Prediction Score (LIPS) se ha utilizado para predecir SDRA en pacientes críticamente enfermos con ABC 0.8, sensibilidad 90% y especificidad 31%.…”
Section: Introductionunclassified