ArticleCardiovascular research2026
Differential metabolomic prediction of outcomes in HFpEF and HFrEF: a prospective international multi-ethnic cohort study.
Article in Cardiovascular research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Is Ergothioneine an Important Source of Plasma TrimethylamineAntioxidants (Basel, Switzerland) · 2026Article
- Novel blood biomarkers for heart failure mortality: mechanistic pathways, aging biology, and risk stratification.Frontiers in cardiovascular medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
27 authors.
Funding
Abstract
aimsMetabolic dysregulation accompanies heart failure (HF), yet coordinated biochemical shifts are rarely quantified for prognostication. We investigated whether early metabolic profiles predict morbidity and mortality in HF with preserved (HFpEF) or reduced ejection fraction (HFrEF). METHODS AND
resultsIn the PEOPLE and SHOP cohorts (n = 1520), 288 plasma metabolites were quantified by tandem mass spectrometry. Weighted co-expression network analysis produced metabolic indices that were regressed against all-cause mortality and composite outcomes (death or readmission) using multivariable proportional hazards and win-ratio models. In HFpEF, metabolic indices of nitric oxide signalling and glycaemic control (netNO-pEF) and purine metabolism (netPurine-pEF) predicted outcomes. In HFrEF, indices of acylcarnitine (netACa-rEF) and amino acids (netAA-rEF) predicted outcomes. Every 20% higher netNO-pEF was associated with adjusted hazard ratios (HR20%higher) of 0.64 [95% CI 0.49-0.84] in PEOPLE-HFpEF and 0.40 [0.20-0.83] in SHOP-HFpEF; HR20%higher for netPurine-pEF were 1.71 [1.30-2.24] in PEOPLE-HFpEF and 1.96 [1.08-3.55] in SHOP-HFpEF; HR20%higher for netACa-rEF were 1.48 [1.23-1.79] in PEOPLE-HFrEF and 1.39 [1.15-1.68] in SHOP-HFrEF; HR20%higher for netAA-rEF were 0.75 [0.62-0.91] in PEOPLE-HFrEF and 0.51 [0.39-0.67] in SHOP-HFrEF. Adjusted inverse win-ratios were concordant: 1/WR20%higher for netACa-rEF were 1.40 [1.19-1.64] in PEOPLE-HFrEF and 1.17 [1.02-1.34] in SHOP-HFrEF; 1/WR20%higher for netNO-pEF were 0.74 [0.54-1.00] in PEOPLE-HFrEF and 0.55 [0.33-0.89] in SHOP-HFrEF. netNO-pEF was negatively associated with body surface area among HFpEF with concomitant hypertension and diabetes, but only in SHOP-HFpEF. Adding orotic acid, a constituent metabolite of netNO-pEF, to a base model containing five risk indices (MAGGIC score, NT-proBNP, hsTnT, GDF15, and E/e' ratio) incrementally improved 2-year mortality prediction (AUROC: 0.82→0.83 in PEOPLE; 0.74→0.79 in SHOP).
conclusionDifferential metabolic signatures tied to metabolic inflammation in HFpEF and impaired energy metabolism in HFrEF enhance risk stratification and point to therapeutic targets.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.