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Characterisation of the patients with suspected heart failure: experience from the SHEAF registry.

Andrew J SwiftAhmed DakshiHosamadin AssadiAndrew J SwiftUmna NaveedGraham FentNigel LewisDominic RogersAthanasios CharalampopoulosAbdallah Al-Mohammad
Published in: Open heart (2021)
Our findings support the use by NICE's HF diagnostic algorithm of tiered triage of patients with suspected HF based on their NT-proBNP levels. The two pathways yielded distinctive groups of patients with varied diagnoses and prognosis. HFpEF is the most frequent diagnosis, with its challenges of poor prognosis and paucity of therapeutic options.
Keyphrases
  • poor prognosis
  • acute heart failure
  • heart failure
  • long non coding rna
  • emergency department
  • machine learning
  • deep learning
  • left ventricular
  • atrial fibrillation
  • neural network