Evidence map›Paper›PMID 27108293›Full record

ArticleMedical & biological engineering & computing2017

Assessment of respiratory flow cycle morphology in patients with chronic heart failure.

Ainara Garde, Leif Sörnmo, Pablo Laguna, Raimon Jané, Salvador Benito, Antoni Bayés-Genís, Beatriz F Giraldo

Open access · greenAbstract read
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In one paragraph

Article in Medical & biological engineering & computing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 2 countries.

Ainara GardeInstitute for Bioengineering of Catalonia (IBEC), c./Baldiri Reixac, 4, 08028, Barcelona, Spain.
Leif SörnmoDepartment of Biomedical Engineering and Center of Integrative Electrocardiology, Lund University, Lund, Sweden.
Pablo LagunaBiomedical Signal Interpretation and Computational Simulation Group (BSICoS), Aragón Institute of Engineering Research (I3A), Instituto de Investigación Sanitaria (IIS), University of Zaragoza, Zaragoza, Spain.
Raimon JanéInstitute for Bioengineering of Catalonia (IBEC), c./Baldiri Reixac, 4, 08028, Barcelona, Spain.
Salvador BenitoDepartment of Emergency Medicine, Hospital de la Santa Creu I Sant Pau, Barcelona, Spain.
Antoni Bayés-GenísDepartment of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.
Beatriz F GiraldoInstitute for Bioengineering of Catalonia (IBEC), c./Baldiri Reixac, 4, 08028, Barcelona, Spain. Beatriz.Giraldo@upc.edu.
Institute for Bioengineering of Catalonia · ESUniversitat Autònoma de Barcelona · ESBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · ESInstituto de Investigación Sanitaria Aragón · ESLund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breathing pattern as periodic breathing (PB) in chronic heart failure (CHF) is associated with poor prognosis and high mortality risk. This work investigates the significance of a number of time domain parameters for characterizing respiratory flow cycle morphology in patients with CHF. Thus, our primary goal is to detect PB pattern and identify patients at higher risk. In addition, differences in respiratory flow cycle morphology between CHF patients (with and without PB) and healthy subjects are studied. Differences between these parameters are assessed by investigating the following three classification issues: CHF patients with PB versus with non-periodic breathing (nPB), CHF patients (both PB and nPB) versus healthy subjects, and nPB patients versus healthy subjects. Twenty-six CHF patients (8/18 with PB/nPB) and 35 healthy subjects are studied. The results show that the maximal expiratory flow interval is shorter and with lower dispersion in CHF patients than in healthy subjects. The flow slopes are much steeper in CHF patients, especially for PB. Both inspiration and expiration durations are reduced in CHF patients, mostly for PB. Using the classification and regression tree technique, the most discriminant parameters are selected. For signals shorter than 1 min, the time domain parameters produce better results than the spectral parameters, with accuracies for each classification of 82/78, 89/85, and 91/89 %, respectively. It is concluded that morphologic analysis in the time domain is useful, especially when short signals are analyzed.

Indexed as

Signal Processing, Computer-AssistedAdultAgedChronic DiseaseFemaleHealthy VolunteersHeart FailureHumansMaleMiddle AgedRespiratory RateChronic heart failureEnsemble averagePeriodic and non-periodic breathingRespiratory pattern

Identifiers

PMID27108293
OpenAlexW2342197109

What OpenQuestion holds

Textmetadata
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.