{
  "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.\n\nMethods: 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.\n\nResults: 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.\n\nConclusion: NAVI-HF–detected congestion was associated with increased adverse clinical outcomes in predischarge acute HF patients.",
  "abstract_shown": true,
  "affiliations": [
    "Doctoral Program in Medical Sciences, Faculty of Medicine, University of Indonesia",
    "Primaya Heart and Vascular Center Hospital",
    "School of Electrical and Electronic Engineering, Nanyang Technology University , Singapore",
    "SPACE (MedTech) Pte. Ltd. , Singapore",
    "National Cardiovascular Center Harapan Kita",
    "Department of Cardiology and Vascular Medicine, Faculty of Medicine, University of Indonesia",
    "Faculty of Computer Science, University of Indonesia , Jakarta",
    "Department of Community Medicine, Faculty of Medicine, University of Indonesia , Jakarta",
    "Department of Clinical Pathology, Faculty of Medicine, University of Indonesia , Jakarta"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 9,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Rony Marethianto Santoso"
    },
    {
      "affs": [
        2,
        3
      ],
      "name": "Ser Wee"
    },
    {
      "affs": [
        4,
        5
      ],
      "name": "Amiliana Mardiani Soesanto"
    },
    {
      "affs": [
        6
      ],
      "name": "Wisnu Jatmiko"
    },
    {
      "affs": [
        7
      ],
      "name": "Aria Kekalih"
    },
    {
      "affs": [
        8
      ],
      "name": "Nuri Dyah Indrasari"
    },
    {
      "affs": [
        3
      ],
      "name": "Yong Kiang Yeo"
    },
    {
      "affs": [
        4
      ],
      "name": "Wilbert Huang"
    },
    {
      "affs": [
        4,
        5
      ],
      "name": "Bambang Budi Siswanto"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/a1ce0dn979xw1.bib",
  "cited_by": 0,
  "doi": "10.3389/fcvm.2026.1864004",
  "fulltext_url": "https://www.frontiersin.org/articles/10.3389/fcvm.2026.1864004/full",
  "id": "a1ce0dn979xw1",
  "issns": [
    "2297-055X"
  ],
  "landing_url": "https://www.frontiersin.org/articles/10.3389/fcvm.2026.1864004/full",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "RC666-701"
    ],
    [
      "openalex",
      "2705|Heart Failure Treatment and Management"
    ]
  ],
  "openalex": "W7223862688",
  "pdf_url": "https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2026.1864004/pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-27",
  "publisher": "Frontiers Media SA",
  "ris": "https://research.draconitic.com/paper/a1ce0dn979xw1.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:10Z",
      "native_id": "10.3389/fcvm.2026.1864004",
      "source": "crossref",
      "url": "https://www.frontiersin.org/articles/10.3389/fcvm.2026.1864004/full"
    },
    {
      "first_seen": "2026-10-31T14:21:51Z",
      "native_id": "13a95b6b64aa401cb123f4c1abe6997c",
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      "url": "https://doi.org/10.3389/fcvm.2026.1864004"
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  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2705|Heart Failure Treatment and Management",
      "subfield": "cardiovascular"
    }
  ],
  "title": "Clinical outcome implications of novel auscultation device of artificial intelligence (NAVI-HF) in predischarge acute heart failure patients",
  "title_text": "Clinical outcome implications of novel auscultation device of artificial intelligence (NAVI-HF) in predischarge acute heart failure patients",
  "type": "peer-reviewed",
  "updated_at": "2026-10-31T14:21:51Z",
  "url": "https://research.draconitic.com/paper/a1ce0dn979xw1",
  "venue": "Frontiers in Cardiovascular Medicine",
  "versions": []
}