Evidence map›Paper›PMID 32408879›Full record

ArticleBiomedical engineering online2020

Using pulse oximetry waveforms to detect coarctation of the aorta.

Matthew W Sorensen, Ismail Sadiq, Gari D Clifford, Kevin O Maher, Matthew E Oster

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  6. Arch watch: current approaches and opportunities for improvement.Journal of perinatology : official journal of the California Perinatal Association · 2024
    Review
  7. Observational
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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

5 authors at 2 institutions in 1 country.

Matthew W SorensenDivision of Cardiology, Pediatric Cardiology, Children's Healthcare of Atlanta, 1405 Clifton Rd, Atlanta, GA, 30322, USA. sorensenm@kidsheart.com.ORCID http://orcid.org/0000-0003-2552-9659
Ismail SadiqDepartment of Biomedical Informatics, Emory University School of Medicine, Woodruff Memorial Research Building, 101 Woodruff Circle, 4th Floor East, Atlanta, GA, 30322, USA.
Gari D CliffordDepartment of Biomedical Informatics, Emory University School of Medicine, Woodruff Memorial Research Building, 101 Woodruff Circle, 4th Floor East, Atlanta, GA, 30322, USA.
Kevin O MaherDivision of Cardiology, Pediatric Cardiology, Children's Healthcare of Atlanta, 1405 Clifton Rd, Atlanta, GA, 30322, USA.
Matthew E OsterDivision of Cardiology, Pediatric Cardiology, Children's Healthcare of Atlanta, 1405 Clifton Rd, Atlanta, GA, 30322, USA.
Emory University · USGeorgia Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoarctation of the aorta is a common form of critical congenital heart disease that remains challenging to diagnose prior to clinical deterioration. Despite current screening methods, infants with coarctation may present with life-threatening cardiogenic shock requiring urgent hospitalization and intervention. We sought to improve critical congenital heart disease screening by using a novel pulse oximetry waveform analysis, specifically focused on detection of coarctation of the aorta. METHODS AND

resultsOver a 2-year period, we obtained pulse oximetry waveform data on 18 neonates with coarctation of the aorta and 18 age-matched controls hospitalized in the cardiac intensive care unit at Children's Healthcare of Atlanta. Patients with coarctation were receiving prostaglandin E1 and had a patent ductus arteriosus. By analyzing discrete features in the waveforms, we identified statistically significant differences in the maximum rate of fall between patients with and without coarctation. This was accentuated when comparing the difference between the upper and lower extremities, with the lower extremities having a shallow slope angle when a coarctation was present (p-value 0.001). Postoperatively, there were still differences in the maximum rate of fall between the repaired coarctation patients and controls; however, these differences normalized when compared with the same individual's upper vs. lower extremities. Coarctation patients compared to themselves (preoperatively and postoperatively), demonstrated waveform differences between upper and lower extremities that were significantly reduced after successful surgery (p-value 0.028). This screening algorithm had an accuracy of detection of 72% with 0.61 sensitivity and 0.94 specificity.

conclusionsWe were able to identify specific features in pulse oximetry waveforms that were able to accurately identify patients with coarctation and further demonstrated that these changes normalized after surgical repair. Pulse oximetry screening for congenital heart disease in neonates may thus be improved by including waveform analysis, aiming to identify coarctation of the aorta prior to critical illness. Further large-scale testing is required to validate this screening model among patients in a newborn nursery setting who are low risk for having coarctation.

Indexed as

OximetrySignal Processing, Computer-AssistedAortic CoarctationFemaleHumansMalePostoperative PeriodCoarctationCritical congenital heart disease screeningPulse oximetryWaveform analysis

Identifiers

PMID32408879
PMCPMC7227302
OpenAlexW3027038068

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.