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Harnessing Mobile Technology for Early Heart Failure Detection: Insights from the ECHOS3 Registry in Primary Care

MedXY Editorial Team•Oct 6, 2025•AI
heart failuremobile health app

Highlight

  • A novel mobile phone application was used in primary care to screen for previously undiagnosed heart failure (HF), detecting HF in 34.1% of screened patients.
  • The majority of newly diagnosed HF cases were HF with preserved ejection fraction (HFpEF), accounting for 70.1%.
  • The newly developed ECHOS3 score demonstrated high sensitivity (88%) for HF screening but limited specificity (35%), providing a useful tool for early identification.
  • Key predictors of HF included advanced age, atrial fibrillation, coronary artery disease, abnormal ECG, chronic kidney disease, and long-standing hypertension.

Study Background and Disease Burden

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This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

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