Evidence map›Paper›PMID 35463751›Full record

ArticleFrontiers in cardiovascular medicine2022

High Specificity Wearable Device With Photoplethysmography and Six-Lead Electrocardiography for Atrial Fibrillation Detection Challenged by Frequent Premature Contractions: DoubleCheck-AF.

Justinas Bacevicius, Zygimantas Abramikas, Ernestas Dvinelis, Deimile Audzijoniene, Marija Petrylaite, Julija Marinskiene, Justina Staigyte, Albinas Karuzas, Vytautas Juknevicius, Rusne Jakaite and 14 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
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

24 authors at 3 institutions in 2 countries.

Justinas BaceviciusInstitute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Zygimantas AbramikasInstitute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Ernestas DvinelisInstitute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Deimile AudzijonieneInstitute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Marija PetrylaiteInstitute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Julija MarinskieneInstitute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Justina StaigyteInstitute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Albinas KaruzasInstitute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Vytautas JukneviciusInstitute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Rusne JakaiteInstitute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Viktorija Basyte-BaceviceInstitute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Neringa BileisieneInstitute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Andrius SolosenkoBiomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania.
Daivaras SokasBiomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania.
Andrius PetrenasBiomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania.
Monika ButkuvieneBiomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania.
Birute PaliakaiteBiomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania.
Saulius DaukantasBiomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania.
Andrius RapalisBiomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania.
Germanas MarinskisInstitute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Eugenijus JasiunasCenter of Informatics and Development, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.
Angeliki DarmaHeart Center Leipzig at University of Leipzig and Leipzig Heart Institute, Leipzig, Germany.
Vaidotas MarozasBiomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania.
Audrius AidietisInstitute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Vilnius University · LTKaunas University of Technology · LTLeipzig Heart Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Consumer smartwatches have gained attention as mobile health (mHealth) tools able to detect atrial fibrillation (AF) using photoplethysmography (PPG) or a short strip of electrocardiogram (ECG). PPG has limited accuracy due to the movement artifacts, whereas ECG cannot be used continuously, is usually displayed as a single-lead signal and is limited in asymptomatic cases. Objective: DoubleCheck-AF is a validation study of a wrist-worn device dedicated to providing both continuous PPG-based rhythm monitoring and instant 6-lead ECG with no wires. We evaluated its ability to differentiate between AF and sinus rhythm (SR) with particular emphasis on the challenge of frequent premature beats. Methods and Results: We performed a prospective, non-randomized study of 344 participants including 121 patients in AF. To challenge the specificity of the device two control groups were selected: 95 patients in stable SR and 128 patients in SR with frequent premature ventricular or atrial contractions (PVCs/PACs). All ECG tracings were labeled by two independent diagnosis-blinded cardiologists as "AF," "SR" or "Cannot be concluded." In case of disagreement, a third cardiologist was consulted. A simultaneously recorded ECG of Holter monitor served as a reference. It revealed a high burden of ectopy in the corresponding control group: 6.2 PVCs/PACs per minute, bigeminy/trigeminy episodes in 24.2% (31/128) and runs of ≥3 beats in 9.4% (12/128) of patients. AF detection with PPG-based algorithm, ECG of the wearable and combination of both yielded sensitivity and specificity of 94.2 and 96.9%; 99.2 and 99.1%; 94.2 and 99.6%, respectively. All seven false-positive PPG-based cases were from the frequent PVCs/PACs group compared to none from the stable SR group ( Conclusions: This is the first wearable combining PPG-based AF detection algorithm for screening of AF together with an instant 6-lead ECG with no wires for manual rhythm confirmation. The system maintained high specificity despite a remarkable amount of frequent single or multiple premature contractions.

Indexed as

digital healthmhealthmultiple-lead portable ECGremote monitoringtelemedicinewrist-worn device

Identifiers

PMID35463751
PMCPMC9019128
OpenAlexW4225434009

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.