2005
DOI: 10.1186/cc3579
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Validation of the ADHERE model for risk stratification in patients with acute heart failure admitted to the critical care unit

Abstract: Third International Symposium on Intensive Care and Emergency Medicine for Latin America plays a critical role in the inflammatory response and, potentially, a polymorphism in IRAK1 may alter the immune response impacting clinical outcome. P2 Gene expression and intracellular NF-κ κB activation after HMGB1 and LPS stimuli in neutrophils from septic patients

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“…Statistically significant variables are then frequently prospectively studied to validate. For example, the Acute Decompensated Heart Failure National Registry (ADHERE) uses blood urea nitrogen (BUN), systolic blood pressure, and age to evaluate mortality risk for those with decompensated heart failure (Fonarow et al, 2005; Rey HCV et al, 2005). Similarly, a cohort of 88,074 patients with chronic obstructive pulmonary disorder (COPD) was studied to formulate the BAP-65 to predict mortality in COPD (Tabak et al, 2009).…”
Section: Modelsmentioning
confidence: 99%
“…Statistically significant variables are then frequently prospectively studied to validate. For example, the Acute Decompensated Heart Failure National Registry (ADHERE) uses blood urea nitrogen (BUN), systolic blood pressure, and age to evaluate mortality risk for those with decompensated heart failure (Fonarow et al, 2005; Rey HCV et al, 2005). Similarly, a cohort of 88,074 patients with chronic obstructive pulmonary disorder (COPD) was studied to formulate the BAP-65 to predict mortality in COPD (Tabak et al, 2009).…”
Section: Modelsmentioning
confidence: 99%
“…Currently, there are many clinical scores to stratify AHF prognosis, but most of them have been validated only in specific settings, and their generalization should be cautious especially in Emergency Departments, Intensive Care Units (ICU), and Internal Medicine departments. In fact, several robust and validated scores shown low accuracy in predicting short-term mortality in specific settings, as in the ICU [ 8 ] or ED [ 9 ]. Moreover, regional variations of risk factors and comorbidities, mainly due to different standards of living, life expectancy, quality of care, and efficacy of sanitary systems, can account for a substantial variation of accuracy of predictive scores in different populations [ 10 ].…”
Section: Introductionmentioning
confidence: 99%