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

Abstract

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.

Racial Differences in 30-Day Mortality for Pulmonary Embolism

“…11 These variables include insurance status, comorbid conditions, and physical examination findings as shown in Table 1.…”

Validating the acute heart failure index for patients presenting to the emergency department with decompensated heart failure

“…For enrolled patients, we collected data on 21 prognostic factors, which included: gender; medical history; vital signs; laboratory values; electrocardiographic findings; and radiographic findings8 (see table 1). Data on the 21 prognostic factors were prospectively collected by research assistants through chart review and patient interviews using a predesigned data sheet.…”

“…Prospective validation of a prediction rule in at least one small trial is considered to be a minimum criterion justifying clinical use 13. The acute heart failure index (AHFI) is a clinical prediction rule derived by Auble et al 8 at the University of Pittsburgh. The AHFI uses 21 prognostic factors to determine if patients presenting to the ED with DHF are at low risk of short-term fatal and inpatient non-fatal outcomes.…”

An early warning scoring system for the prevention of acute heart failure

“…However, there are few scores for predicting the onset of AHF [19][20][21][22][23][24][25][26][27][28][29][30]. Risk stratification methods for AHF may provide guidance to clinicians who care for patients with AHF, and might improve decision-making in emergent care or intensive care unit when decisions must be made quickly and accurately [31].…”