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Development and Validation of a Protein Risk Score for Mortality in Heart Failure : A Community Cohort Study.


ABSTRACT:

Background

Heart failure (HF) is a complex clinical syndrome with high mortality. Current risk stratification approaches lack precision. High-throughput proteomics could improve risk prediction. Its use in clinical practice to guide the management of patients with HF depends on validation and evidence of clinical benefit.

Objective

To develop and validate a protein risk score for mortality in patients with HF.

Design

Community-based cohort.

Setting

Southeast Minnesota.

Participants

Patients with HF enrolled between 2003 and 2012 and followed through 2021.

Measurements

A total of 7289 plasma proteins in 1351 patients with HF were measured using the SomaScan Assay (SomaLogic). A protein risk score was derived using least absolute shrinkage and selection operator regression and temporal validation in patients enrolled between 2003 and 2007 (development cohort) and 2008 and 2012 (validation cohort). Multivariable Cox regression was used to examine the association between the protein risk score and mortality. The performance of the protein risk score to predict 5-year mortality risk was assessed using calibration plots, decision curves, and relative utility analyses and compared with a clinical model, including the Meta-Analysis Global Group in Chronic Heart Failure mortality risk score and N-terminal pro-B-type natriuretic peptide.

Results

The development (n = 855; median age, 78 years; 50% women; 29% with ejection fraction <40%) and validation cohorts (n = 496; median age, 76 years; 45% women; 33% with ejection fraction <40%) were mostly similar. In the development cohort, 38 unique proteins were selected for the protein risk score. Independent of ejection fraction, the protein risk score demonstrated good calibration, reclassified mortality risk particularly at the extremes of the risk distribution, and showed greater clinical utility compared with the clinical model.

Limitation

Participants were predominantly of European ancestry, potentially limiting the generalizability of the findings to different patient populations.

Conclusion

Validation of the protein risk score demonstrated good calibration and evidence of predicted benefits to stratify the risk for death in HF superior to that of clinical methods. Further studies are needed to prospectively evaluate the score's performance in diverse populations and determine risk thresholds for interventions.

Primary funding source

Division of Intramural Research at the National Heart, Lung, and Blood Institute of the National Institutes of Health.

SUBMITTER: Kuku KO 

PROVIDER: S-EPMC10958437 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

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Publications

Development and Validation of a Protein Risk Score for Mortality in Heart Failure : A Community Cohort Study.

Kuku Kayode O KO   Shearer Joseph J JJ   Hashemian Maryam M   Oyetoro Rebecca R   Park Hoyoung H   Dulek Brittany B   Bielinski Suzette J SJ   Larson Nicholas B NB   Ganz Peter P   Levy Daniel D   Psaty Bruce M BM   Joo Jungnam J   Roger Véronique L VL  

Annals of internal medicine 20240102 1


<h4>Background</h4>Heart failure (HF) is a complex clinical syndrome with high mortality. Current risk stratification approaches lack precision. High-throughput proteomics could improve risk prediction. Its use in clinical practice to guide the management of patients with HF depends on validation and evidence of clinical benefit.<h4>Objective</h4>To develop and validate a protein risk score for mortality in patients with HF.<h4>Design</h4>Community-based cohort.<h4>Setting</h4>Southeast Minnesot  ...[more]

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