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Metadata

Name
Validation of a Mortality Prediction Model for Acutely Decompensated Heart Failure Patients
Repository
ClinicalTrials.gov
Identifier
clinicaltrials:NCT00536367
Description
The purpose of this protocol is to determine if the 3 variable mortality prediction model
established using data from a retrospective, multi-center patient registry (The ADHERE Acute
Decompensated HEart FailuRE National Registry) will hold for a prospective, observational
outcome study of OSU patients diagnosed in the Emergency Department (ED)with Acute
Decompensated Heart Failure (ADHF). In the retrospective registry, three parameters were
found to be highly predictive of inpatient mortality for patients admitted with ADHF - on
admission, BUN > 43 mg/dL, systolic BP < 115 mmHg, and Cr > 2.75 mg/dL. However, the very
nature of the ADHERE database limited the analytic potential of this model, as the data
captured by ADHERE is retrospective and limited to the inpatient stay, and the only outcome
evaluated was inpatient mortality. Due to its inherent limitations, the model did not and
could not address longer term outcomes, such as repeat visits to the emergency department
after discharge, or need for readmission to an acute care setting, which frequently occurs
soon after discharge in patients who survive to discharge after being admitted with ADHF.

This observational study will create a registry of patient information obtained from an
interview with the patient and a review of the patient's medical record. Follow up
information at 30 days post discharge will be obtained by phone interview with the patient
and a review of the patient's OSUMC visit history.

Most ED patients diagnosed with ADHF are admitted, as emergency physicians are aware that
heart failure in general carries a very high mortality rate. However, as risk stratification
for ADHF is a severely under researched area, it is not at all clear which patients with
acutely decompensated heart failure will have a poor outcome in the short and intermediate
term. With an improved understanding of the risk profile of our ADHF patients, more
appropriate decision making and disposition assignment can be made.
Data or Study Types
clinical trial
Keywords
Heart Failure, Congestive, Mortality Prediction Model
Source Organization
Unknown
Access Conditions
available
Year
2007
Access Hyperlink
https://clinicaltrials.gov/ct2/show/NCT00536367

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