Heart failure & cardiomyopathies

Predicting Right Ventricular Failure After Left Ventricular Assist Device Implant: A Novel Approach

ESC Heart FailPublished unbiased clustering analysis with models for predicting post-implant RVF phenogroup

Authors' conclusion

Distinct, potentially predictable phenogroups of patients who have significantly different long-term outcomes exist within consensus-defined post-LVAD RVF populations.

Study context

Population
Patients after left ventricular assist device (LVAD) implantpatients identified · 'no RVF' 67 · 'provisional RVF' 165
Participants
232 patients
Predictors
Pre-implant metrics; top predictors including renal function, liver function, heart rate and pre-LVAD right ventricular (RV) function
Predicted outcome
post-implant RVF phenogroup ('early RVF' population phenogroup clusters)
Methodological detailselectronic health records queries
  • Electronic health records queries

Model performance

As reported in the abstract

AUROC
Prediction of phenogroup clusters from the 'early RVF' population
0.84

Further findings

'Early RVF' time window: 'well' vs 'sick' phenogroup clusters

Renal function differed
P < 0.001
Hepatic function differed
P = 0.013
RV assist device (RVAD) usage differed
P = 0.001
1 year mortality differed
P = 0.047
Similar RV function and pulmonary vasodilator usage during the first month after LVAD
  • Also differed in heart failure therapy tolerance

'Late RVF' time window: 'well' vs 'sick' phenogroup clusters

RV function similar
P = 0.111
RVAD proportions similar
P = 0.757
Pulmonary vasodilator usage differed
P = 0.001
1 year mortality differed
P < 0.001
  • Also differed in heart failure medication tolerance

Original publication

Predicting Right Ventricular Failure After Left Ventricular Assist Device Implant: A Novel Approach. ESC Heart Fail. Published 20 January 2025. doi:10.1002/ehf2.15200

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

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