Heart Failure by Ejection Fraction (HFimpEF)

Classifies symptomatic heart failure by ejection fraction under the 2021 universal definition.

Open the calculator → Runs in your browser. Data leaves only if you deliberately send a problem report from the interactive tool.

Example

Symptomatic heart failure present
Yes
Current LVEF, percent
45
Baseline LVEF, percent
30

Result: HFimpEF

The tool opens with these values already filled in. Replace them with your own.

What the result means

HFrEF
Symptomatic heart failure with an ejection fraction of 40 percent or below.
HFmrEF
Symptomatic heart failure with an ejection fraction of 41 to 49 percent.
HFpEF
Symptomatic heart failure with an ejection fraction of 50 percent or above.
HFimpEF
ALL THREE: a baseline at or below 40 percent, a rise of at least 10 points from that baseline, and a current measurement above 40.
A trajectory, not a threshold
A baseline of 38 improving to 42 crosses the line but rises only 4 points, so it is HFmrEF. Crossing 40 is not enough on its own.
One number cannot decide
The same 45 percent is HFmrEF with no prior measurement and HFimpEF from a baseline of 30. A tool classifying from a single value cannot reach HFimpEF at all.
Improved is not recovered
The TRED-HF trial withdrew therapy from patients whose cardiomyopathy had recovered and saw relapse. The improvement describes the ejection fraction, not the disease.
Symptoms are required
Every category needs symptomatic heart failure. An ejection fraction on its own classifies nothing.

What you enter

  • Symptomatic heart failure present
  • Current LVEF, percent
  • Baseline LVEF, percent
How this is calculated

Bozkurt B, Coats AJS, Tsutsui H, et al. Universal definition and classification of heart failure: a report of the Heart Failure Society of America, the Heart Failure Association of the ESC and the Japanese Heart Failure Society. Eur J Heart Fail. 2021;23(3):352-380. Read the source ↗

A reference and educational tool. Not medical, legal, or financial advice, and not a substitute for clinician judgment.

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Built by Clay Good. Source on GitHub.