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June 1, 2005Academic Emergency Medicine39 citationsOpen Access

A Prediction Rule to Identify Low-risk Patients with Heart Failure

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TAThomas E. AubleMHMargaret HsiehWGWilliam Gardner

Key Result

A clinical prediction rule using 21 prognostic factors classified 17.2% of heart failure patients as low risk, with an observed inpatient mortality of 0.3% and serious complication rate of 1.0%.

Study Design

Type

Cohort (n=33,533)

Multicenter

Yes

Structured PICO

Does a clinical prediction rule using ED data identify heart failure patients at low risk of death and serious complications?

P
Population
33,533 patients with a primary hospital discharge diagnosis of heart failure in 1999 who were admitted from EDs in Pennsylvania
I
Intervention
Clinical prediction rule using 21 prognostic factors derived from demographic, medical history, and ED/first-day examination or diagnostic test values
O
Outcome
Death or serious medical complications before dischargecomposite

A newly derived clinical prediction rule using 21 prognostic factors can identify a subgroup of heart failure patients presenting to the ED who are at very low risk for adverse inpatient outcomes.

Main Result

Absolute Event Rate: 1.3% vs 11.3%

Limitations

  • Model performance needs to be examined in a cohort of patients with an ED diagnosis of heart failure and treated as outpatients or hospitalized

Abstract

Objectives: To derive a prediction rule using data available in the emergency department (ED) to identify a group of patients hospitalized for the treatment of heart failure who are at low risk of death and serious complications. Methods: The authors analyzed data for all 33,533 patients with a primary hospital discharge diagnosis of heart failure in 1999 who were admitted from EDs in Pennsylvania. Candidate predictors were demographic and medical history variables and the most abnormal examination or diagnostic test values measured in the ED (vital signs only) or on the first day of hospitalization. The authors constructed classification trees to identify a subgroup of patients with an observed rate of death or serious medical complications before discharge < 2%; the tree that identified the subgroup with the lowest rate of this outcome and an inpatient mortality rate < 1% was chosen. Results: Within the entire cohort, 4.5% of patients died and 6.8% survived to hospital discharge after experiencing a serious medical complication. The prediction rule used 21 prognostic factors to classify 17.2% of patients as low risk; 19 (0.3%) died and 59 (1.0%) survived to hospital discharge after experiencing a serious medical complication. Conclusions: This clinical prediction rule identified a group of patients hospitalized from the ED for the treatment of heart failure who were at low risk of adverse inpatient outcomes. Model performance needs to be examined in a cohort of patients with an ED diagnosis of heart failure and treated as outpatients or hospitalized.

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Cite This Study

Auble et al. (2005) conducted a cohort in Heart failure (n=33,533). Clinical prediction rule was evaluated on Death or serious medical complications before discharge. A clinical prediction rule using 21 prognostic factors classified 17.2% of heart failure patients as low risk, with an observed inpatient mortality of 0.3% and serious complication rate of 1.0%.

synapsesocial.com/papers/6a0f387ea7a2fed64abdd474https://doi.org/10.1111/j.1553-2712.2005.tb00891.x
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