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Subject Research Team of KU Guro Hospital, Proposed New Technology to Predict Impairment in Patients During Acute Phase of Stroke
Selection News Date 2020-06-30 Read 328


Proposed New Technology to Predict

Impairment in Patients During Acute

Phase of Stroke

Co-Research Team of the Cardiovascular Center and Neurological
Disorders Center of Korea University Guro Hospital






Analysis of Sleep-Disordered Breathing with Holter Monitoring Can


Help Predict Functional Impairment



The Presence of Sleep-Disordered Breathing at the Early Stage of


Stroke Showed a 4-Fold Increased Risk of Severe Functional





It is widely known that the presence of sleep-disordered breathing (SDB) at the


early stage of stroke is a risk factor of neurological impairment and delayed


recovery. However, assessing the presence of SDB with either conventional


polysomnography or respiratory recording devices during the acute phase of


stroke has limited effectiveness.



According to the co-research team of the Cardiovascular Center and


Neurological Disorders Center of Korea University Guro Hospital (from left to


right, Professor Jin Oh Na and Dong Oh Kang of the Cardiovascular Center, and


Professor Chi Kyung Kim of the Neurological Disorders Center),


cardiopulmonary coupling (CPC) analysis using Holter monitoring can


predict the SDB in patients who are at the early stage of stroke and predict the


level of recovery from neurological impairment due to stroke.



CPC analysis is a technique that uses ECG-derived spectrographic markers to


characterize sleep stability. When a patient experiences breathing disorder


during sleep, narrow-band (NB) coupling, a characteristic pattern, is observed.


CPC analysis can be performed using the simple and widely available Holder





According to the results of the research, the presence of NB coupling during


sleep time was an independent predictor of both severe functional impairment


(odds ratio of 3.98) and persistent functional impairment (odds ratio of 1.81) 3


months after stroke. Also, it was found that the longer the duration of the


breathing disorder during sleep reflected in the ECG, the greater the risk of


severe neurological impairment.



“The present study clearly demonstrates the prognostic impact of SDB by using


ECG-derived spectrographic markers in patients with acute stroke. Compared


with the conventional polysomnography, which has limited feasibility in acute


settings, the CPC analysis shows greater feasibility in terms of simplicity and


accessibility.” The research team stated. “It is expected to contribute


significantly to the prediction and treatment of neurological impairment in


stroke patients with an accurate and simple test method for the early diagnosis


of sleep-disordered breathing.”



The paper “Impact of Sleep-Disordered Breathing on Functional Outcomes in


Ischemic Stroke: A Cardiopulmonary Coupling Analysis” was published in the


January 2020 issue of Stroke, a world-renown journal issued by AHA/ASA,


receiving international attention.

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