Risk stratification for 1-year mortality in acute heart failure: classification and regression tree analysis

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Risk stratification for 1-year mortality in acute heart failure: classification and regression tree analysis.

BACKGROUND Simple tools for risk stratification of patients with acute heart failure (AHF) are an unmet clinical need, particularly regarding long-term mortality. METHODS We prospectively enrolled 610 consecutive patients presenting to the emergency department with AHF. The diagnosis of AHF was adjudicated by two independent cardiologists. The classification and regression tree (CART) analysi...

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BACKGROUND Risk stratification for mortality in intracerebral haemorrhage (ICH) helps guide care, but existing clinical prediction rules are too cumbersome for clinical practice because of their complexity. AIM To develop a simple decision tree model of in-hospital mortality risk stratification for ICH patients. METHODS We collected information on spontaneous ICH patients hospitalized in a ...

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HEART FAILURE CAUSES CONsiderable morbidity and mortality and is responsible for a tremendous burden on the health care system in the United States. It accounted for approximately 1 million hospital discharges in 2001, an increase of 164% since 1979, and is associated with an overall annual cost of nearly $29 billion. Reported in-hospital mortality ranges from as low as 2.3% among patients enro...

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Use of myeloperoxidase for risk stratification in acute heart failure.

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The emergency department evaluation and management of patients who have potential acute heart failure syndromes (AHFS) has remained a significant challenge for decades. The emergency physician's diagnostic tools for heart failure have remained limited, and the complexity of the syndrome itself has led to risk-averse practice styles with extremely high admission rates. Recently, new diagnostic m...

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ژورنال

عنوان ژورنال: Swiss Medical Weekly

سال: 2011

ISSN: 1424-7860,1424-3997

DOI: 10.4414/smw.2011.13259