Utility of cardiac implantable electronic device algorithm for detecting severe sleep‐disordered breathing in cardiomyopathy

Transthoracic impedance sensing with an advanced inbuilt algorithm may be helpful as a screening test in detecting severe SDB in patients with heart failure and cardiomyopathy, potentially by applying a binary threshold cut-off value. This is the first study known to validate the algorithm in an exclusively multi-ethnic Asian population with heart failure.

Authors

Institutions

Publication Details

Journal
Journal of Arrhythmia
Published
2024-10-08
DOI
https://doi.org/10.1002/joa3.13156
Citations
1
Primary Topic
Obstructive Sleep Apnea Research
Type
article
Field-Weighted Citation Impact
0.33

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Utility of cardiac implantable electronic device algorithm for detecting severe sleep‐disordered breathing in cardiomyopathy

Sherida Syed Hamid, Yue Wang, Colin Yeo, Leng Leng Lee et al.
1 citations
Journal of Arrhythmia
Obstructive Sleep Apnea Research
0.33
article

Utility of cardiac implantable electronic device algorithm for detecting severe sleep‐disordered breathing in cardiomyopathy

Sherida Syed Hamid, Yue Wang, Colin Yeo, Leng Leng Lee, Ai Ling Him, Prunella Ting Lee, Jiaqi Li, Ying Zi Oh, Vern Hsen Tan, Lisa Jie Ting Teo, Yingjuan Mok, Andrew Kieran Ming Hui Chan, Hang Siang Wong
article en
1 citations

Abstract

Transthoracic impedance sensing with an advanced inbuilt algorithm may be helpful as a screening test in detecting severe SDB in patients with heart failure and cardiomyopathy, potentially by applying a binary threshold cut-off value. This is the first study known to validate the algorithm in an exclusively multi-ethnic Asian population with heart failure.

Journal of ArrhythmiaVol. 40(6)
University of Cambridge (GB), Changi General Hospital (SG)
Boston Scientific Japan
Good health and well-being
Openalex Percentile: Top 37%
Obstructive Sleep Apnea Research
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Utility of cardiac implantable electronic device algorithm for detecting severe sleep‐disordered breathing in cardiomyopathy — Sherida Syed Hamid, Yue Wang, et al. · Journal of Arrhythmia (2024) | TGRS Research Map | TGRS