Cardiac imageology changes in patients with mild obstructive sleep apnea without cardiovascular disease

Hong, Zuogeng; Ou, Qiong; Cheng, Yilu; Xu, Yanxia; Fei, Hongwen; Liu, Hui

doi:10.1007/s11325-021-02421-0

Cited by 2 publications

(4 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All the eligible studies had an J o u r n a l P r e -p r o o f observational (cross-sectional or cohort) design. Seven of the studies were cross-sectional studies [24][25][26][27][28][29][30] , 2 were cohort studies 31,32 , and 1 publication reported both a cross-sectional data and a prospective cohort 33 . A total of 214,127 participants were included in this meta-analysis in which most studies had a higher proportion of male participants.…”

Section: Characteristics and Quality Of Included Studiesmentioning

confidence: 99%

“…Among the included studies, 3 studies with 548 participants accessed the OSA prevalence in participants with or without AA or AD 29,30,33 , 3 studies with 212,160 participants accessed the AA or AD incidence in participants with or without OSA [31][32][33] , and 5 studies with 1419 participants reported the aortic diameter in participants with or without OSA [24][25][26][27][28] . Eight studies were carried out in Asia (China and Singapore) [24][25][26][27][31][32][33] , 2 studies were carried out in Europe (Spain and Switzerland) 29,30 and 1 study was done in USA 28 . Polysomnography or respiratory polygraphy was performed to define OSA in most of studies except that 2 studies 31,32 used ICD codes.…”

Section: Characteristics and Quality Of Included Studiesmentioning

confidence: 99%

“…Polysomnography or respiratory polygraphy was performed to define OSA in most of studies except that 2 studies 31,32 used ICD codes. Aortic root diameter or ascending aortic diameter was measured by echocardiography or cardiac MRI [24][25][26][27][28] .…”

Section: Characteristics and Quality Of Included Studiesmentioning

confidence: 99%

“…Association between OSA and aortic diameter Total 5 publications exploring the relationship between OSA and aortic diameter were identified for J o u r n a l P r e -p r o o f this analysis [24][25][26][27][28] , with 2 studies conducted in patients grouped by different severity of OSA 27,28 .…”

Section: Outcome Measuresmentioning

confidence: 99%

See 3 more Smart Citations

Impact of obstructive sleep apnea on aortic disease occurrence: A meta-analysis

Zhai

Liu

Zhang

et al. 2022

Heliyon

View full text Add to dashboard Cite

Section: Characteristics and Quality Of Included Studiesmentioning

confidence: 99%

Section: Characteristics and Quality Of Included Studiesmentioning

confidence: 99%

Section: Characteristics and Quality Of Included Studiesmentioning

confidence: 99%

Section: Outcome Measuresmentioning

confidence: 99%

See 2 more Smart Citations

Impact of obstructive sleep apnea on aortic disease occurrence: A meta-analysis

Zhai

Liu

Zhang

et al. 2022

Heliyon

View full text Add to dashboard Cite

Application study of apnea-hypopnea duration for assessing adult obstructive sleep apnea

Cheng,

Xu,

Wang

et al. 2024

THC

View full text Add to dashboard Cite

BACKGROUND: Obstructive sleep apnea (OSA) is a common sleep disordered breathing disorder, which can cause serious damage to multiple human systems. Although polysomnography (PSG) is the current gold standard for diagnosis, it is complex and expensive. Therefore, it is of great significance to find a simple, economical and rapid primary screening and diagnosis method to replace PSG for the diagnosis of OSA. OBJECTIVE: The purpose of this study is to propose a new method for the diagnosis and classification of OSA, which is used to automatically detect the duration of sleep apnea hypopnea events (AHE), so as to estimate the ratio(S) of the total duration of all-night AHE to the total sleep time only based on the sound signal of sleep respiration, and to identify OSA. METHODS: We performed PSG tests on participants and extracted relevant sleep breathing sound signal data. This study is carried out in two stages. In the first stage, the relevant PSG report data of eligible subjects were recorded, the total duration of AHE in each subject’s data was extracted, and the S value was calculated to evaluate the severity of OSA. In the second stage, only the sleep breath sound signal data of the same batch of subjects were used for automatic detection, and the S value in the sleep breath sound signal was extracted, and the S value was compared with the PSG diagnosis results to calculate the accuracy of the experimental method. RESULTS: Among 225 subjects. Using PSG as the reference standard, the S value extracted from the PSG diagnostic data report can accurately diagnose OSA(accuracy rate 99.56%) and distinguish its severity (accuracy rate 95.11%). The accuracy of the S value detected in the sleep breathing sound signal in the diagnosis of severe OSA reached 100%. CONCLUSION: The results show that the experimental parameter S value is feasible in OSA diagnosis and classification. OSA can be identified and evaluated only by sleep breathing sounds. This method helps to simplify the diagnostic grading of traditional OSA and lays a foundation for the subsequent development of simple diagnostic grading equipment.

show abstract

Cardiac imageology changes in patients with mild obstructive sleep apnea without cardiovascular disease

Cited by 2 publications

References 37 publications

Impact of obstructive sleep apnea on aortic disease occurrence: A meta-analysis

Impact of obstructive sleep apnea on aortic disease occurrence: A meta-analysis

Application study of apnea-hypopnea duration for assessing adult obstructive sleep apnea

Contact Info

Product

Resources

About