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The validity of heart failure diagnoses in the Finnish Hospital Discharge Register
Matti A Vuori1, Jari A Laukkanen2,3, Arto Pietilä4
1Division of Medicine, University of Turku and Turku University Hospital, Finland.
Insights
Finnish heart failure diagnoses in hospital registers are reasonably accurate, with a positive predictive value of 0.85 and negative predictive value of 0.83. Accuracy may decrease for specific heart failure types.
Area of Science:
- Cardiology
- Public Health
- Health Informatics
Background:
- Validation studies for register-based heart failure diagnoses are scarce globally.
- Current Finnish guidelines and comprehensive clinical data are needed for validation.
Purpose of the Study:
- To evaluate the accuracy of heart failure diagnoses recorded in the Finnish nationwide hospital discharge register.
- To determine the positive and negative predictive values of these register-based diagnoses.
Main Methods:
- Utilized Finnish Hospital Discharge Register data from 2013-2015.
- Physician review of medical records for 120 heart failure cases and 120 controls against European Society of Cardiology guidelines.
- A panel of three physicians resolved unclear cases, establishing a clinical gold standard.
Main Results:
- Register-based heart failure diagnoses demonstrated a positive predictive value (PPV) of 0.85 (95% CI 0.77-0.91).
- A negative predictive value (NPV) of 0.83 (95% CI 0.75-0.90) was observed.
- PPV decreased for transient heart failure, cases with dialysis/lung disease, and heart failure with preserved ejection fraction.
Conclusions:
- Nationwide hospital discharge register diagnoses for heart failure in Finland exhibit good predictive values.
- The accuracy of register-based heart failure diagnoses may be lower for specific patient subgroups and heart failure classifications.
Abstract:
Background: Contemporary validation studies of register-based heart failure diagnoses based on current guidelines and complete clinical data are lacking in Finland and internationally. Our objective was to assess the positive and negative predictive values of heart failure diagnoses in a nationwide hospital discharge register. Methods: Using Finnish Hospital Discharge Register data from 2013-2015, we obtained the medical records for 120 patients with a register-based diagnosis for heart failure (cases) and for 120 patients with a predisposing condition for heart failure, but without a heart failure diagnosis (controls). The medical records of all patients were assessed by a physician who categorized each individual as having heart failure (with reduced or preserved ejection fraction) or no heart failure, based on the definition of current European Society of Cardiology heart failure guidelines. Unclear cases were assessed by a panel of three physicians. This classification was considered as the clinical gold standard, against which the registers were assessed. Results: Register-based heart failure diagnoses had a positive predictive value of 0.85 (95% CI 0.77-0.91) and a negative predictive value of 0.83 (95% CI 0.75-0.90). The positive predictive value decreased when we classified patients with transient heart failure (duration <6 months), dialysis/lung disease or heart failure with preserved ejection fraction as not having heart failure.
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