Automated Quantification of QT-Intervals by an Algorithm: A Validation Study in Patients with Chronic Obstructive Pulmonary Disease.

ABSTRACT:

Study objectives

To assess the diagnostic accuracy of a purpose-designed QTc-scoring algorithm versus the established hand-scoring in patients with chronic obstructive pulmonary disease (COPD) undergoing sleep studies.

Methods

We collected 62 overnight electrocardiogram (ECG) recordings in 28 COPD patients. QT-intervals corrected for heart rate (QTc, Bazett) were averaged over 1-min periods and quantified, both by the algorithm and by cursor-assisted hand-scoring. Hand-scoring was done blinded to the algorithm-derived results. Bland-Altman statistics and confusion matrixes for three thresholds (460, 480, and 500ms) were calculated.

Results

A total of 32944 1-min periods and corresponding mean QTc-intervals were analysed manually and by computer. Mean difference betwee

SUBMITTER: Kohlbrenner D 

PROVIDER: S-EPMC10944305 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature