What is the clinical evidence from this study?

Study design: Observational. Population: Long QT syndrome screening (n=285). Intervention: Smartphone-based electrocardiography (AliveCor) vs. Standard 12-lead electrocardiography. Primary outcome: Correlation of corrected QT intervals between 12-lead electrocardiographs and AliveCor recordings (Pearson's correlation coefficient: 0.57, p=<0.001).

January 1, 2018Northern Clinics of IstanbulOpen Access

Validation of a smartphone based electrocardiography in the screening of QT intervals in children

Q: What are the key findings of this study?

AliveCor smartphone electrocardiography recordings showed a significant correlation with standard 12-lead electrocardiography for measuring corrected QT intervals in children (r=0.57, p<0.001).

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Key result

AliveCor smartphone electrocardiography recordings showed a significant correlation with standard 12-lead electrocardiography for measuring corrected QT intervals in children (r=0.57, p<0.001).

Why the study?

Does a smartphone-based electrocardiography device accurately measure QT and corrected QT intervals compared to a standard 12-lead electrocardiograph in children?

Population

285 children presenting to the clinic, mean age 9.8±4.9 years

Comparison

10-s smartphone electrocardiography tracing from… vs Standard 12-lead electrocardiograph obtained…

Design

Cross-sectional, Measurements of QT and corrected QT intervals performed in a…

Authors

MKMehmet Karacan

Discussion

Member takes

Overview

May support smartphone ECG for pediatric QTc screening where standard ECG is unavailable; leaves open validation for clinical decisions.

Study Design

Type

Observational (n=285)

Blinding

Blinded evaluators

Multicenter

Structured PICO

Does a smartphone-based electrocardiography device accurately measure QT and corrected QT intervals compared to a standard 12-lead electrocardiograph in children?

Population

285 pediatric and adolescent patients (mean age 9.8 years) presenting to a pediatric cardiology clinic underwent simultaneous 12-lead and smartphone-based electrocardiography to assess QT intervals.

Intervention

10-s smartphone electrocardiography tracing from a smartphone-based device (AliveCor)

Comparator

Standard 12-lead electrocardiograph obtained simultaneously

Outcome

Measurement and correlation of QT and corrected QT (QTc) intervals using Bazett's formulasurrogate

Main Result

Effect estimate: Pearson's correlation coefficient: 0.57

Absolute Event Rate: 415% vs 419%

p-value: p=<0.001

Smartphone-based electrocardiography provides QT and QTc measurements that correlate significantly with standard 12-lead ECGs, suggesting it is a viable tool for screening congenital long QT syndrome in children.

Limitations

7.3% of transmitted tracings were not interpretable due to noise, motion artifact, or unclear T-wave termination.
Corrected QT intervals measured with Bazett's formula at variable heart rates have low sensitivity and accuracy, which may have influenced the discrepancy in results.
Lack of technicians' initial assessment of electrocardiography led to noisy chest recordings that were not repeated.
Larger population studies and cost-effectiveness analyses are needed before establishing it as a practical screening tool.

Cite This Study

Mehmet Karacan (2018) conducted an observational in Long QT syndrome screening (n=285). Smartphone-based electrocardiography (AliveCor) vs. Standard 12-lead electrocardiography was evaluated on Correlation of corrected QT intervals between 12-lead electrocardiographs and AliveCor recordings (Pearson's correlation coefficient: 0.57, p=<0.001). AliveCor smartphone electrocardiography recordings showed a significant correlation with standard 12-lead electrocardiography for measuring corrected QT intervals in children (r=0.57, p<0.001).

synapsesocial.com/papers/6aa4a2ec997531f8901426aa https://doi.org/10.14744/nci.2018.44452

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January 1, 2018Northern Clinics of IstanbulOpen Access

Validation of a smartphone based electrocardiography in the screening of QT intervals in children

View Full Paper

Ask AI

Bookmark

Key result

AliveCor smartphone electrocardiography recordings showed a significant correlation with standard 12-lead electrocardiography for measuring corrected QT intervals in children (r=0.57, p<0.001).

Why the study?

Does a smartphone-based electrocardiography device accurately measure QT and corrected QT intervals compared to a standard 12-lead electrocardiograph in children?

Population

285 children presenting to the clinic, mean age 9.8±4.9 years

Comparison

10-s smartphone electrocardiography tracing from… vs Standard 12-lead electrocardiograph obtained…

Design

Cross-sectional, Measurements of QT and corrected QT intervals performed in a…

Authors

MKMehmet Karacan

Discussion

Member takes

Overview

May support smartphone ECG for pediatric QTc screening where standard ECG is unavailable; leaves open validation for clinical decisions.

Study Design

Type

Observational (n=285)

Blinding

Blinded evaluators

Multicenter

Structured PICO

Does a smartphone-based electrocardiography device accurately measure QT and corrected QT intervals compared to a standard 12-lead electrocardiograph in children?

Population

285 pediatric and adolescent patients (mean age 9.8 years) presenting to a pediatric cardiology clinic underwent simultaneous 12-lead and smartphone-based electrocardiography to assess QT intervals.

Intervention

10-s smartphone electrocardiography tracing from a smartphone-based device (AliveCor)

Comparator

Standard 12-lead electrocardiograph obtained simultaneously

Outcome

Measurement and correlation of QT and corrected QT (QTc) intervals using Bazett's formulasurrogate

Main Result

Effect estimate: Pearson's correlation coefficient: 0.57

Absolute Event Rate: 415% vs 419%

p-value: p=<0.001

Limitations

7.3% of transmitted tracings were not interpretable due to noise, motion artifact, or unclear T-wave termination.
Corrected QT intervals measured with Bazett's formula at variable heart rates have low sensitivity and accuracy, which may have influenced the discrepancy in results.
Lack of technicians' initial assessment of electrocardiography led to noisy chest recordings that were not repeated.
Larger population studies and cost-effectiveness analyses are needed before establishing it as a practical screening tool.

Cite This Study

synapsesocial.com/papers/6aa4a2ec997531f8901426aa https://doi.org/10.14744/nci.2018.44452

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

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