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Peer-reviewedCC BY 4.0Frontiers in Cardiovascular Medicine

Clinical outcome implications of novel auscultation device of artificial intelligence (NAVI-HF) in predischarge acute heart failure patients

  • Rony Marethianto Santoso1,2
  • Ser Wee3,4
  • Amiliana Mardiani Soesanto5,6
  • Wisnu Jatmiko7
  • Aria Kekalih8
  • Nuri Dyah Indrasari9
  • Yong Kiang Yeo4
  • Wilbert Huang5
  • Bambang Budi Siswanto5,6
9 affiliations
  1. 1Doctoral Program in Medical Sciences, Faculty of Medicine, University of Indonesia
  2. 2Primaya Heart and Vascular Center Hospital
  3. 3School of Electrical and Electronic Engineering, Nanyang Technology University , Singapore
  4. 4SPACE (MedTech) Pte. Ltd. , Singapore
  5. 5National Cardiovascular Center Harapan Kita
  6. 6Department of Cardiology and Vascular Medicine, Faculty of Medicine, University of Indonesia
  7. 7Faculty of Computer Science, University of Indonesia , Jakarta
  8. 8Department of Community Medicine, Faculty of Medicine, University of Indonesia , Jakarta
  9. 9Department of Clinical Pathology, Faculty of Medicine, University of Indonesia , Jakarta
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Abstract

Aim: This study evaluated the prognostic significance of a novel auscultation device of artificial intelligence (NAVI-HF) in predicting clinical outcomes in predischarge acute heart failure (HF) patients.

Methods: This second, prognostic phase of a prospective observational cohort study extends our prior diagnostics phase, in which NAVI-HF demonstrated good performance compared with lung ultrasound (LUS) B-lines as the reference standard. Patients were classified as NAVI-HF positive or negative prior to discharge and followed for 6 months for evaluation.

Results: A total of 239 patients were included of whom 111 (45.1%) were NAVI-HF positive. NAVI-HF positive patients had a worse clinical profile and higher NT-proBNP ( p < 0.05). During a median follow-up of 6 months, 82 composite events (34.3%) occurred. In univariate Cox analysis, NAVI-HF positive was associated with significant increased risk of composite outcome (HR 1.59, CI 1.03–2.47; p 0.03) and HF hospitalization (HR 1.64, CI 1.05–2.46; p 0.02), but not all-cause mortality (p 0.24). The association in composite and HF hospitalization outcomes remained significant after adjustment for age and sex but was attenuated after adjustment for other prognostic variables.

Conclusion: NAVI-HF–detected congestion was associated with increased adverse clinical outcomes in predischarge acute HF patients.

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Cite

BibTeXRIS
BibTeX
@article{santoso2026clinical,
  title = {{Clinical outcome implications of novel auscultation device of artificial intelligence (NAVI-HF) in predischarge acute heart failure patients}},
  author = {Rony Marethianto Santoso and Ser Wee and Amiliana Mardiani Soesanto and Wisnu Jatmiko and Aria Kekalih and Nuri Dyah Indrasari and Yong Kiang Yeo and Wilbert Huang and Bambang Budi Siswanto},
  journal = {Frontiers in Cardiovascular Medicine},
  year = {2026},
  month = oct,
  doi = {10.3389/fcvm.2026.1864004},
  url = {https://www.frontiersin.org/articles/10.3389/fcvm.2026.1864004/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Clinical outcome implications of novel auscultation device of artificial intelligence (NAVI-HF) in predischarge acute heart failure patients
AU  - Rony Marethianto Santoso
AU  - Ser Wee
AU  - Amiliana Mardiani Soesanto
AU  - Wisnu Jatmiko
AU  - Aria Kekalih
AU  - Nuri Dyah Indrasari
AU  - Yong Kiang Yeo
AU  - Wilbert Huang
AU  - Bambang Budi Siswanto
PY  - 2026
DA  - 2026/10/27
JO  - Frontiers in Cardiovascular Medicine
DO  - 10.3389/fcvm.2026.1864004
UR  - https://www.frontiersin.org/articles/10.3389/fcvm.2026.1864004/full
AB  - Aim: This study evaluated the prognostic significance of a novel auscultation device of artificial intelligence (NAVI-HF) in predicting clinical outcomes in predischarge acute heart failure (HF) patients.  Methods: This second, prognostic phase of a prospective observational cohort study extends our prior diagnostics phase, in which NAVI-HF demonstrated good performance compared with lung ultrasound (LUS) B-lines as the reference standard. Patients were classified as NAVI-HF positive or negative prior to discharge and followed for 6 months for evaluation.  Results: A total of 239 patients were included of whom 111 (45.1%) were NAVI-HF positive. NAVI-HF positive patients had a worse clinical profile and higher NT-proBNP ( p < 0.05). During a median follow-up of 6 months, 82 composite events (34.3%) occurred. In univariate Cox analysis, NAVI-HF positive was associated with significant increased risk of composite outcome (HR 1.59, CI 1.03–2.47; p 0.03) and HF hospitalization (HR 1.64, CI 1.05–2.46; p 0.02), but not all-cause mortality (p 0.24). The association in composite and HF hospitalization outcomes remained significant after adjustment for age and sex but was attenuated after adjustment for other prognostic variables.  Conclusion: NAVI-HF–detected congestion was associated with increased adverse clinical outcomes in predischarge acute HF patients.
SN  - 2297-055X
ER  -