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Positive predictive value and impact of misdiagnosis of a heart failure diagnosis in administrative registers among patients admitted to a University Hospital cardiac care unit



Original Research

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Authors: Shan Mard, Finn Erland Nielsen

Published Date October 2010 Volume 2010:2 Pages 235 - 239
DOI: http://dx.doi.org/10.2147/CLEP.S12457

Shan Mard, Finn Erland Nielsen
Department of Cardiology, Herlev University Hospital, Denmark

Objective: To evaluate the positive predictive value (PPV) of a diagnosis of heart failure (HF) in the Danish National Registry of Patients (NRP) among patients admitted to a University Hospital cardiac care unit, and to evaluate the impact of misdiagnosing HF.
Design: The NRP was used to identify patients with heart failure from July 1, 2005 to June 30, 2007. Heart failure was defined in accordance with European Society of Cardiology (ESC) guidelines. The recorded diagnoses from the NRP were compared with clinical data from the medical records.
Results: We identified 758 patients with a diagnosis of heart failure in the NRP. The PPV of a heart failure discharge diagnosis was 84.0% (95% confidence interval: 81.2–86.6). Patients with a discharge diagnosis of HF in the NRP without fulfilling the ESC criteria for HF had a better survival rate, a lower rate of rehospitalization, none were followed in the outpatient clinic, and they had a lower consumption of anticongestive medicine after discharge.
Conclusion: We found a relatively high PPV of the HF diagnosis in the NRP, and the NRP can therefore be a valuable tool for identification of patients with HF. However, using the NRP alone will not give a true picture of the cost and total burden of the disease.

Keywords: heart failure, diagnosis, positive predictive value, National Registry of Patients


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