Cardiopulmonary Coupling

Lu, Ming; Penzel, Thomas; Thomas, Robert J.

doi:10.1007/978-3-031-06413-5_11

Cited by 7 publications

(3 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Associations of promising metrics like hypoxic burden with diabetes or cognitive impairment should be tested in future research. Other metrics related to certain pathophysiology of OSA like cardiopulmonary coupling 58 and cyclic alternating pattern 59 should also be taken into consideration. Third, due to the complex mechanisms of OSA and related comorbidities, assessing OSA severity by a single metric seems unrealistic.…”

Section: Discussionmentioning

confidence: 99%

New Metrics from Polysomnography: Precision Medicine for OSA Interventions

Guo¹,

Xiao²

2023

NSS

View full text Add to dashboard Cite

Obstructive sleep apnea (OSA) is a highly preventable disease accompanied by multiple comorbid conditions. Despite the well-established cardiovascular and neurocognitive sequelae with OSA, the optimal metric for assessing the OSA severity and response to therapy remains controversial. Although overnight polysomnography (PSG) is the golden standard for OSA diagnosis, the abundant information is not fully exploited. With the development of deep learning and the era of big data, new metrics derived from PSG have been validated in some OSA consequences and personalized treatment. In this review, these metrics are introduced based on the pathophysiological mechanisms of OSA and new technologies. Emphasis is laid on the advantages and the prognostic value against apnea-hypopnea index. New classification criteria should be established based on these metrics and other clinical characters for precision medicine.

show abstract

Section: Discussionmentioning

confidence: 99%

New Metrics from Polysomnography: Precision Medicine for OSA Interventions

Guo¹,

Xiao²

2023

NSS

View full text Add to dashboard Cite

show abstract

“…The concept of cardiopulmonary coupling (CPC) was advocated in 2005 ( 3 ). CPC is now a technique that can reflect the function of cardiopulmonary system action relation and coupling strength by calculating the cross-spectral power and coherence of respiratory tidal volume fluctuations and heart rate variability (HRV) ( 4 ). It may provide information on the quantitative presentation of a person's manifestations of cardiovascular autonomic nervous function.…”

Section: Introductionmentioning

confidence: 99%

Use of the cardiopulmonary coupling index based on refined composite multiscale entropy for prognostication of acute type A aortic dissection

Mao

Wen²,

Han³

et al. 2023

Front. Cardiovasc. Med.

View full text Add to dashboard Cite

ObjectivesThe aim of this study is to assess the influence of cardiopulmonary coupling (CPC) based on RCMSE on the prediction of complications and death in patients with acute type A aortic dissection (ATAAD).BackgroundThe cardiopulmonary system may be nonlinearly regulated, and its coupling relationship with postoperative risk stratification in ATAAD patients has not been studied.MethodsThis study was a single-center, prospective cohort study (ChiCTR1800018319). We enrolled 39 patients with ATAAD. The outcomes were in-hospital complications and all-cause readmission or death at 2 years.ResultsOf the 39 participants, 16 (41.0%) developed complications in the hospital, and 15 (38.5%) died or were readmitted to the hospital during the two-year follow-up. When CPC-RCMSE was used to predict in-hospital complications in ATAAD patients, the AUC was 0.853 (p < 0.001). When CPC-RCMSE was used to predict all-cause readmission or death at 2 years, the AUC was 0.731 (p < 0.05). After adjusting for age, sex, ventilator support (days), and special care time (days), CPC-RCMSE remained an independent predictor of in-hospital complications in patients with ATAAD [adjusted OR: 0.8 (95% CI, 0.68–0.94)].ConclusionCPC-RCMSE was an independent predictor of in-hospital complications and all-cause readmission or death in patients with ATAAD.

show abstract

“…Another approach is to transcend human-imposed limitations on the dataset, such as the 30-second epoch and traditional stages, and directly correlate novel sleep measures to relevant health outcomes such as morbidity/mortality. Promising approaches include the EEG-derived odds-ratio product and cardiopulmonary coupling (CPC) to form continuous/alternative measures of sleep [ 7 , 8 ]. As consumer and home sleep testing devices continue to improve, alternatives to manual scoring PSG will likely define the future of sleep medicine.…”

mentioning

confidence: 99%

Are pictures worth a thousand sleep signals?

Holfinger

2023

Sleep

View full text Add to dashboard Cite

Cardiopulmonary Coupling

Cited by 7 publications

References 54 publications

New Metrics from Polysomnography: Precision Medicine for OSA Interventions

New Metrics from Polysomnography: Precision Medicine for OSA Interventions

Use of the cardiopulmonary coupling index based on refined composite multiscale entropy for prognostication of acute type A aortic dissection

Are pictures worth a thousand sleep signals?

Contact Info

Product

Resources

About