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Electrical Cardiometry as a Novel Tool for Assessing Systemic Vascular Resistance and Cardiac Function in Obstructive
Seda Elcim Yildirim1, Nurhan Sarioglu2, Mustafa Colak2
1Department of Cardiology, School of Medicine, Balikesir University, 10145 Balikesir, Turkey.
Electrical cardiometry (EC) non-invasively measures hemodynamic changes in obstructive sleep apnea syndrome (OSAS). This study found higher systemic vascular resistance and lower cardiac index in OSAS patients, suggesting EC
Area of Science:
- Cardiology
- Sleep Medicine
- Medical Technology
Background:
- Obstructive sleep apnea syndrome (OSAS) is linked to sympathetic overactivity, intermittent hypoxia, and increased vascular resistance, contributing to cardiovascular issues.
- Electrical cardiometry (EC) is a non-invasive method for continuous hemodynamic monitoring, including systemic vascular resistance (SVR) and cardiac output (CO).
Purpose of the Study:
- To compare systemic vascular resistance (SVR) and systemic vascular resistance index (SVRI) measured by EC between patients with OSAS and healthy controls.
- To evaluate the utility of EC in assessing hemodynamic alterations associated with OSAS.
Main Methods:
- A retrospective case-control study involving 33 patients with confirmed OSAS and 37 age- and sex-matched healthy controls.
- Standard EC measurements were performed under resting, supine conditions to assess hemodynamic parameters like SVR, SVRI, and cardiac index (CI).
Main Results:
- Patients with OSAS exhibited significantly higher SVR and SVRI compared to controls.
- Cardiac index (CI) was significantly lower in the OSAS group, indicating increased vascular load and reduced cardiac performance.
Conclusions:
- This is the first study to utilize EC in the context of OSAS.
- EC-derived parameters, specifically SVRI and CI, effectively distinguished OSAS patients from healthy individuals, reflecting heightened vascular afterload and diminished cardiac function.
- EC shows promise as a feasible, non-invasive tool for evaluating hemodynamic changes in OSAS, with potential applications in bedside monitoring and risk stratification.
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