Initial independent validation of a genomic heart failure survival prediction algorithm
- 10 February 2021
- journal article
- research article
- Published by Taylor & Francis Ltd in Expert Review of Precision Medicine and Drug Development
- Vol. 6 (2), 139-145
- https://doi.org/10.1080/23808993.2021.1882847
Abstract
Biological determinants of survival in advanced heart failure (AdHF) are linked to systems biological properties of disease severity including age, comorbidities, and frailty. We hypothesize that an algorithm trained to predict the survival in severely ill mechanical circulatory support (MCS) AdHF patients can be independently validated in AdHF-cohorts of varying severity undergoing etiology-specific interventions including heart transplantation (HTx), transcatheter aortic valve replacement (TAVR), and continued guidelines directed medical therapy (GDMT). We independently validated our previously published multi-dimensional algorithm, based on 4 clinical parameters and 12 transcriptomic biomarkers, and trained in AdHF patients undergoing MCS-surgery (n = 29), in AdHF patients undergoing TAVR, HTx, MCS, and GDMT-interventions (n = 48). In the independent validation cohort, our algorithm demonstrated 71% sensitivity, 90% specificity, 56% positive predictive value, and 95% negative predictive value, allowing for construction of a prototype survival prediction score. While prediction of 1-year survival using clinical parameters alone achieved an AUC = 0.69, addition of 12 differentially expressed genes to the clinical model improved the AUC = 0.90. Our initial validation data suggests that the proposed multi-dimensional algorithm is applicable across various AdHF-risk groups and Surgical-Interventional Therapies (S/IT), increasing survival prediction accuracy compared to clinical data alone and warranting further study in larger cohorts.Keywords
Funding Information
- National Institutes of Health
This publication has 63 references indexed in Scilit:
- Agrin is required for survival and function of monocytic cellsBlood, 2012
- The sva package for removing batch effects and other unwanted variation in high-throughput experimentsBioinformatics, 2012
- KIR2DL4 (CD158d): An activation receptor for HLA-GFrontiers in Immunology, 2012
- Clearance of p16Ink4a-positive senescent cells delays ageing-associated disordersNature, 2011
- Transcriptional Profiling of Peripheral Blood Mononuclear Cells in Pancreatic Cancer Patients Identifies Novel Genes with Potential Diagnostic UtilityPLOS ONE, 2011
- The rhomboid protease family: a decade of progress on function and mechanismGenome Biology, 2011
- miR-221&222 Regulate TRAIL Resistance and Enhance Tumorigenicity through PTEN and TIMP3 DownregulationCancer Cell, 2009
- Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable AnalysisPLoS Genetics, 2007
- Basement membrane proteoglycans: from cellar to ceilingNature Reviews Molecular Cell Biology, 2005
- Ridge Regression: Biased Estimation for Nonorthogonal ProblemsTechnometrics, 1970