Key result
Phenomapping HFrEF patients on sacubitril/valsartan identifies 3 clusters that improve prognostic discrimination beyond MAGGIC scores.
Why the study?
Whether the therapeutic benefits of sacubitril/valsartan vary among heterogeneous HFrEF subgroups remains unknown.
Does unsupervised phenomapping identify distinct HFrEF phenotypes with differential outcomes to sacubitril/valsartan versus renin-angiotensin system inhibitors?
Cohort (n=2,206)
Yes
Does unsupervised phenomapping identify distinct HFrEF phenotypes with differential outcomes to sacubitril/valsartan versus renin-angiotensin system inhibitors?
Unsupervised machine learning identifies distinct HFrEF phenogroups that improve prognostic discrimination for sacubitril/valsartan treatment beyond traditional clinical scores.
May refine HFrEF prognosis on sacubitril/valsartan beyond MAGGIC; hypothesis-generating for differential treatment effects versus RAS inhibitors.
Background The angiotensin receptor–neprilysin inhibitor (LCZ696) has emerged as a promising pharmacological intervention against renin–angiotensin system inhibitor in reduced ejection fraction heart failure (HFrEF). Whether the therapeutic benefits may vary among heterogeneous HFrEF subgroups remains unknown. Methods and Results This study comprised a pooled 2‐center analysis including 1103 patients with symptomatic HFrEF with LCZ696 use and another 1103 independent HFrEF control cohort (with renin–angiotensin system inhibitor use) matched for age, sex, left ventricular ejection fraction, and comorbidity conditions. Three main distinct phenogroup clusterings were identified from unsupervised machine learning using 29 clinical variables: phenogroup 1 (youngest, relatively lower diabetes prevalence, highest glomerular filtration rate with largest left ventricular size and left ventricular wall stress); phenogroup 2 (oldest, lean, highest diabetes and vascular diseases prevalence, lowest highest glomerular filtration rate with smallest left ventricular size and mass), and phenogroup 3 (lowest clinical comorbidity with largest left ventricular mass and highest hypertrophy prevalence). During the median 1.74‐year follow‐up, phenogroup assignment provided improved prognostic discrimination beyond Meta‐Analysis Global Group in Chronic Heart Failure risk score risk score (all net reclassification index P <0.05) with overall good calibrations. While phenogroup 1 showed overall best clinical outcomes, phenogroup 2 demonstrated highest cardiovascular death and worst renal end point, with phenogroup 3 having the highest all‐cause death rate and HF hospitalization among groups, respectively. These findings were broadly consistent when compared with the renin–angiotensin system inhibitor control as reference group. Conclusions Phenomapping provided novel insights on unique characteristics and cardiac features among patients with HFrEF with sacubitril/valsartan treatment. These findings further showed potentiality in identifying potential sacubitril/valsartan responders and nonresponders with improved outcome discrimination among patients with HFrEF beyond clinical scoring.
No takes yet. Share an insight, caveat, or question.
Sung et al. (2023) conducted a cohort in reduced ejection fraction heart failure (HFrEF) (n=2,206). LCZ696 (sacubitril/valsartan) vs. renin-angiotensin system inhibitor was evaluated on prognostic discrimination beyond MAGGIC risk score (net reclassification index) (p=<0.05). Unsupervised phenomapping of HFrEF patients on sacubitril/valsartan identified 3 distinct clusters that improved prognostic discrimination beyond the MAGGIC risk score (NRI P<0.05).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: