ArticleESC heart failure2022
Multivariable prognostic model for heart failure in Chinese Han population-based setting.
Article in ESC heart failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- The Inclusion of Underrepresented Populations in Cardiovascular Genetics and Epidemiology.Journal of cardiovascular development and disease · 2024Review
- Multivariable prognostic model for heart failure in Chinese Han population-based setting.ESC heart failure · 2022Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
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Abstract
aimsThe prognosis of heart failure (HF) depends on genetic predisposition, and recent studies have shown that impaired autophagy is involved in HF. This study was aimed to construct a prognostic model combining polygenetic background based on the autophagy pathway and other traditional risk factors (TRF) of HF prognosis. METHODS AND
resultsVia re-analysing the transcriptomic data of 50 failing and 14 non-failing donors, differentially expressed autophagy-related genes (ARGs) were chosen for further comparison and analysis with whole exome sequencing and follow-up data of 1000 HF patients. By searching from reported articles, prognosis-related polymorphisms were identified. ARGs and prognosis-related polymorphisms were used to develop genetic risk score (GRS) and genetic risk factor (GRF), respectively. We compared the predictive power of five models [Model 1, GRS; Model 2, composite of TRF and N-terminal B-type natriuretic peptide (NT-proBNP); Model 3, composite of TRF, NT-proBNP, and GRS; Model 4, composite of TRF, NT-proBNP, and GRF; and Model 5, composite of TRF, NT-proBNP, GRF, and GRS] by applying receiver operating characteristic curves. Twenty-four prognosis-related polymorphisms were used to construct GRF and 11 variants among 48 differentially expressed ARGs associated with clinical outcomes of HF patients were applied for GRS. GRS was strongly associated with cardiac mortality of HF patients, independent of TRF and GRF (95% confidence interval 1.273-1.739, P = 5.78 × 10
conclusionsThe model combining autophagy-related GRS, TRF, GRF, and NT-proBNP performs well in distinguishing between worse-prognosis and better-prognosis HF patients, leading a promising strategy for HF treatment and HF prevention.
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