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Incremental prognostic value of a novel metabolite-based biomarker score in congestive heart failure patients.

Peter McGranaghanHans-Dirk DüngenAnshul SaxenaMuni RubensJoseph SalamiJasmin RadenkovicDoris BachSvetlana ApostolovicGoran LoncarMarija ZdravkovicElvis TahirovicJovan VeskovicStefan StörkEmir VeledarBurkert PieskeFrank EdelmannTobias Daniel Trippel
Published in: ESC heart failure (2020)
In patients with CHF, incorporating a panel of three metabolite-based biomarkers into a risk score improved the prognostic utility of NT-proBNP by predicting long-term cardiovascular death more precisely. This novel approach holds promise to improve clinical risk assessment in CHF patients.
Keyphrases
  • ejection fraction
  • risk assessment
  • end stage renal disease
  • newly diagnosed
  • prognostic factors
  • peritoneal dialysis
  • machine learning
  • deep learning