Evidence map›Paper›PMID 37896557›Full record

ArticleSensors (Basel, Switzerland)2023

Six-Lead Electrocardiography Enables Identification of Rhythm and Conduction Anomalies of Patients in the Telemedicine-Based, Hospital-at-Home Setting: A Prospective Validation Study.

Adam Sharabi, Eli Abutbul, Eitan Grossbard, Yonatan Martsiano, Aya Berman, Reut Kassif-Lerner, Hila Hakim, Pninit Liber, Anram Zoubi, Galia Barkai and 1 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 5 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

11 authors at 2 institutions in 2 countries.

Adam SharabiBeyond Virtual Hospital, Sheba Medical Center, Faculty of Medicine, Tel-Aviv University, Tel Aviv 5265601, Israel.
Eli AbutbulBeyond Virtual Hospital, Sheba Medical Center, Faculty of Medicine, Tel-Aviv University, Tel Aviv 5265601, Israel.
Eitan GrossbardBeyond Virtual Hospital, Sheba Medical Center, Faculty of Medicine, Tel-Aviv University, Tel Aviv 5265601, Israel.
Yonatan MartsianoBeyond Virtual Hospital, Sheba Medical Center, Faculty of Medicine, Tel-Aviv University, Tel Aviv 5265601, Israel.
Aya BermanDan Petah-Tikvah District at Clalit Health Services, Petah Tikva 4922297, Israel.
Reut Kassif-LernerDepartment of Pediatric Intensive Care, The Edmond and Lily Safra Children's Hospital Sheba Medical Center, Affiliated to the Faculty of Medicine, Tel-Aviv University, Tel Aviv 5265601, Israel.
Hila HakimBeyond Virtual Hospital, Sheba Medical Center, Faculty of Medicine, Tel-Aviv University, Tel Aviv 5265601, Israel.
Pninit LiberBeyond Virtual Hospital, Sheba Medical Center, Faculty of Medicine, Tel-Aviv University, Tel Aviv 5265601, Israel.
Anram ZoubiBeyond Virtual Hospital, Sheba Medical Center, Faculty of Medicine, Tel-Aviv University, Tel Aviv 5265601, Israel.
Galia BarkaiBeyond Virtual Hospital, Sheba Medical Center, Faculty of Medicine, Tel-Aviv University, Tel Aviv 5265601, Israel.
Gad SegalBeyond Virtual Hospital, Sheba Medical Center, Faculty of Medicine, Tel-Aviv University, Tel Aviv 5265601, Israel.ORCID 0000-0002-3851-3245
Tel Aviv University · ILClalit Health Services · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe hospital-at-home (HAH) model is a viable alternative for conventional in-hospital stays worldwide. Serum electrolyte abnormalities are common in acute patients, especially in those with many comorbidities. Pathologic changes in cardiac electrophysiology pose a potential risk during HAH stays. Periodical electrocardiogram (ECG) tracing is therefore advised, but few studies have evaluated the accuracy and efficiency of compact, self-activated ECG devices in HAH settings. This study aimed to evaluate the reliability of such a device in comparison with a standard 12-lead ECG.

methodsWe prospectively recruited consecutive patients admitted to the Sheba Beyond Virtual Hospital, in the HAH department, during a 3-month duration. Each patient underwent a 12-lead ECG recording using the legacy device and a consecutive recording by a compact six-lead device. Baseline patient characteristics during hospitalization were collected. The level of agreement between devices was measured by Cohen's kappa coefficient for inter-rater reliability (Ϗ).

resultsFifty patients were included in the study (median age 80 years, IQR 14). In total, 26 (52%) had electrolyte disturbances. Abnormal D-dimer values were observed in 33 (66%) patients, and 12 (24%) patients had elevated troponin values. We found a level of 94.5% raw agreement between devices with regards to nine of the options included in the automatic read-out of the legacy device. The calculated Ϗ was 0.72, classified as a substantial consensus. The rate of raw consensus regarding the ECG intervals' measurement (PR, RR, and QT) was 78.5%, and the calculated Ϗ was 0.42, corresponding to a moderate level of agreement.

conclusionThis is the first report to our knowledge regarding the feasibility of using a compact, six-lead ECG device in the setting of an HAH to be safe and bearing satisfying agreement level with a legacy, 12-lead ECG device, enabling quick, accessible arrythmia detection in this setting. Our findings bear a promise to the future development of telemedicine-based hospital-at-home methodology.

Indexed as

ElectrocardiographyTelemedicineAged, 80 and overElectrolytesHospitalsHumansReproducibility of ResultsElectrolytesarrythmiaECG intervalselectrocardiographyelectrolyte disturbanceshospital at homesix-lead ECG

Identifiers

PMID37896557
PMCPMC10611340
OpenAlexW4387638543

What OpenQuestion holds

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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.