Evidence map›Paper›PMID 36314494›Full record

ArticleJournal of the American Heart Association2022

Evaluation of Speech and Pause Alterations in Patients With Acute and Chronic Heart Failure.

Dario Schöbi, Yan-Ping Zhang, Joelle Kehl, Meriam Aissani, Otmar Pfister, Martin Strahm, Paul van Haelst, Qian Zhou

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Dario SchöbiPharma Research and Early Development Informatics Roche Innovation Center Basel Switzerland.ORCID 0000-0002-2592-3480
Yan-Ping ZhangPharma Research and Early Development Informatics Roche Innovation Center Basel Switzerland.ORCID 0000-0001-7602-4453
Joelle KehlDivision of Cardiology, Department of Medicine University Hospital Basel Basel Switzerland.
Meriam AissaniDivision of Cardiology, Department of Medicine University Hospital Basel Basel Switzerland.
Otmar PfisterDivision of Cardiology, Department of Medicine University Hospital Basel Basel Switzerland.ORCID 0000-0002-6155-5494
Martin StrahmPharma Research and Early Development Informatics Roche Innovation Center Basel Switzerland.
Paul van HaelstDivision of Cardiology, Department of Medicine University Hospital Basel Basel Switzerland.ORCID 0000-0002-6942-2602
Qian ZhouDivision of Cardiology, Department of Medicine University Hospital Basel Basel Switzerland.ORCID 0000-0002-1828-4879
Roche (Switzerland) · CHUniversity Hospital of Basel · CHUniversity of Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Acute heart failure is the most frequent cause of unplanned hospital admission in elderly patients. Various biomarkers have been evaluated to better assess the status of these patients and prevent decompensation. Recently, voice has been suggested as a cost-effective and noninvasive way to monitor disease progression. This study evaluates speech and pause alterations in patients with acute decompensated and stable heart failure. Specifically, we aim to identify a vocal biomarker that could be used to monitor patients with heart failure and to prevent decompensation. Methods and Results Speech and pause patterns were evaluated in 68 patients with acute and 36 patients with stable heart failure. Voice recordings were performed using a web-browser based application that consisted of 5 tasks. Speech and pause patterns were automatically extracted and compared between acute and stable patients and with clinical markers. Compared with stable patients, pause ratio was up to 14.9% increased in patients with acute heart failure. This increase was largely independent of sex, age, and ejection fraction and persisted in patients with lower degrees of edema or dyspnea. Furthermore, pause ratio was positively correlated with NT-proBNP (N-terminal pro-B-type natriuretic peptide) after controlling for acute versus stable heart failure. Collectively, our findings indicate that the pause ratio could be useful in identifying acute heart failure, particularly in patients who do not display traditional indicators of decompensation. Conclusions Speech and pause patterns are altered in patients with acute heart failure. Particularly, we identified pause ratio as an easily interpretable vocal biomarker to support the monitoring of heart failure decompensation.

Indexed as

Heart FailureSpeechAgedBiomarkersChronic DiseaseHospitalizationHumansNatriuretic Peptide, BrainPeptide FragmentsPrognosisStroke VolumeBiomarkersNatriuretic Peptide, BrainPeptide Fragmentsacute heart failurechronic heart failuredigital healthvoice analysis

Identifiers

PMID36314494
PMCPMC9673640
OpenAlexW4307972608

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.