Heart failure & cardiomyopathies

Hyperkalaemia as a Cause of Undertreatment with Mineralocorticoid Receptor Antagonists in Heart Failure

ESC Heart FailPublished Retrospective cohort study

Authors' conclusion

Hyperkalaemia increased significantly during up-titration of GDMT but with varying magnitudes in different clinical phenotypes, which might explain why physicians refrain from prescribing MRAs to patients with HFrEF.

Study context

Population
Patients hospitalised for new-onset Heart Failure with Reduced Ejection Fraction (HFrEF), Sahlgrenska University Hospital, Sweden, 2016–2019of 3456 hospitalised for HF
Participants
630 patients
Exposure
Mineralocorticoid receptor antagonist (MRA) treatment patterns during guideline-directed medical therapy (GDMT) up-titration
Outcome
Incidence of hyperkalaemia during up-titration of GDMT
Follow-up
6 months
Methodological detailssingle-centre
  • Single-centre

Main finding

As reported in the abstract

Hyperkalaemia (baseline to 6 months)
GroupValueBaseline
MRA dose reduction54.5%6.8%
MRA discontinuation50.9%8.8%
Stable MRA10%5
MRA naive28%6

Value

MRA dose reduction54.5%
MRA discontinuation50.9%
Stable MRA10%
MRA naive28%

Baseline

MRA dose reduction6.8%
MRA discontinuation8.8%
Stable MRA5
MRA naive6
Overall hyperkalaemia increased from 5.9 to 24.4%
P < 0.0001
Increase within each group
all P < 0.0001

Observational data: associations, not effects.

Further findings

MRA use after up-titration of GDMT

Patients receiving MRAs
48.4%

Potassium categories, MRA naive · 6 months

Normokalaemia/hypokalaemia at baseline
87.5%
Normokalaemia/hypokalaemia at 6 months
47.8%
Mild hyperkalaemia
22.4%
Moderate hyperkalaemia
5.7%
Severe hyperkalaemia
0.9%

Characteristics of patients without MRA

Older
P < 0.0001
Lower EF
P = 0.022
Higher NTproBNP
P = 0.017
Lower eGFR
P = 0.001
More often treated with ACEi/ARB/ARNI
all P < 0.0001

Original publication

Hyperkalaemia as a Cause of Undertreatment with Mineralocorticoid Receptor Antagonists in Heart Failure. ESC Heart Fail. Published 25 September 2022. doi:10.1002/ehf2.14137

Composed by AI from the published abstract and checked against it. How Briefs are made →

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