Evidence map›Paper›PMID 28358801›Full record

ArticlePloS one2017

ECG-derived spatial QRS-T angle is associated with ICD implantation, mortality and heart failure admissions in patients with LV systolic dysfunction.

Sarah Gleeson, Yi-Wen Liao, Clementina Dugo, Andrew Cave, Lifeng Zhou, Zina Ayar, Jonathan Christiansen, Tony Scott, Liane Dawson, Andrew Gavin and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

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  12. Subclinical Cardiac Diseases and the Role of Extracellular Vesicles in Patients with Hemophilia A Treated on-Demand.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
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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

12 authors at 3 institutions in 3 countries.

Sarah GleesonDepartment of Cardiology, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand.
Yi-Wen LiaoDepartment of Cardiology, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand.
Clementina DugoDepartment of Cardiology, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand.
Andrew CaveDepartment of Cardiology, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand.
Lifeng ZhouDepartment of Epidemiology and Public Health, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand.
Zina AyarDeparment of Clinical Informatics, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand.
Jonathan ChristiansenDepartment of Cardiology, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand.
Tony ScottDepartment of Cardiology, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand.
Liane DawsonDepartment of Cardiology, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand.
Andrew GavinDepartment of Cardiology, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand.
Todd T SchlegelDepartment of Clinical Physiology, Karolinska Institutet, Stockholm, Sweden.
Patrick GladdingDepartment of Cardiology, North Shore Hospital, Waitemata District Health Board, Auckland, New Zealand.
Waitemata District Health Board · NZNorth Shore Hospital · NZKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreased spatial QRS-T angle has been shown to predict appropriate implantable cardioverter defibrilIator (ICD) therapy in patients with left ventricular systolic dysfunction (LVSD). We performed a retrospective cohort study in patients with left ventricular ejection fraction (LVEF) 31-40% to assess the relationship between the spatial QRS-T angle and other advanced ECG (A-ECG) as well as echocardiographic metadata, with all-cause mortality or ICD implantation for secondary prevention.

methods534 patients ≤75 years of age with LVEF 31-40% were identified through an echocardiography reporting database. Digital 12-lead ECGs were retrospectively matched to 295 of these patients, for whom echocardiographic and A-ECG metadata were then generated. Data mining was applied to discover novel ECG and echocardiographic markers of risk. Machine learning was used to develop a model to predict possible outcomes.

results49 patients (17%) had events, defined as either mortality (n = 16) or ICD implantation for secondary prevention (n = 33). 72 parameters (58 A-ECG, 14 echocardiographic) were univariately different (p<0.05) in those with vs. without events. After adjustment for multiplicity, 24 A-ECG parameters and 3 echocardiographic parameters remained different (p<2x10-3). These included the posterior-to-leftward QRS loop ratio from the derived vectorcardiographic horizontal plane (previously associated with pulmonary artery pressure, p = 2x10-6); spatial mean QRS-T angle (134 vs. 112°, p = 1.6x10-4); various repolarisation vectors; and a previously described 5-parameter A-ECG score for LVSD (p = 4x10-6) that also correlated with echocardiographic global longitudinal strain (R2 = - 0.51, P < 0.0001). A spatial QRS-T angle >110° had an adjusted HR of 3.4 (95% CI 1.6 to 7.4) for secondary ICD implantation or all-cause death and adjusted HR of 4.1 (95% CI 1.2 to 13.9) for future heart failure admission. There was a loss of complexity between A-ECG and echocardiographic variables with an increasing degree of disease.

conclusionSpatial QRS-T angle >110° was strongly associated with arrhythmic events and all-cause death. Deep analysis of global ECG and echocardiographic metadata revealed underlying relationships, which otherwise would not have been appreciated. Delivered at scale such techniques may prove useful in clinical decision making in the future.

Indexed as

EchocardiographyAgedCardiomyopathiesData MiningDeath, Sudden, CardiacDefibrillators, ImplantableFemaleHeart FailureHumansMachine LearningMaleMiddle AgedRisk FactorsVentricular Dysfunction, Left

Identifiers

PMID28358801
PMCPMC5373522
OpenAlexW2603774824

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.