Comparative Study of HRV Indexes Between Severe and Non-Severe Obstructive Sleep Apnea Patients
Mehrnaz Asadi Gharabaghi1*, Masoud Ehtesham1 , Reza Mollazadeh2 , Shahram Firouzbakhsh1 and Enayat Safavi1

1Advanced Thoracic Research Center, Department of Pulmonary Diseases, Tehran University of Medical Sciences, Tehran, Iran.

2Department of Cardiology, Tehran University of Medical Sciences, Tehran, Iran.

Corresponding Author Email: asadi_m@tums.ac.ir

Abstract: Temporary cessation of breathing or obstructive sleep apnea is a known risk factor for cardiovascular diseases. Autonomic cardiac measurement by HRV indexes is a known identification methods for heart condition during sleep that identifying their relationship with AHI index can help to detect those indexes relationship with disease severity. In addition to help to estimate the risk of heart problems to begin treatment of the diseases, according to the HRV indexes and in mild cases AHI, reducing the risk of cardiovascular problems in patients. This cross sectional study contained 36 patients suffered from obstructive sleep apnea whom referred to the sleep clinic of Imam Khomeini hospital, Tehran, Iran, in 2015. Apnea syndrome in these patients was confirmed by polysomnography. Participants were divided into two groups, severe (AHI≥30) and non-severe (AHI=5-29). Age, BMI, resting heart rate and obtained HRV indexes by a sleep test (polysomnography) were recorded for each patients. Statistical analysis was done by SPSS ver. 19. Statistical analysis did not show any significant differences for age and BMI between two groups. The results showed that only SDNNi index (P-value= 0.026) and ODI index (P-value= 0.001) had significant difference between the two groups. AHI had the most correlation with HRV-triangular index (P=0.022, rp=0.371) between HRV indexes and with ODI (P=0.001, rp=0.63) among all parameters.  According to the results of this study, HRV indexes had not significant different between the two groups and only ODI index differed significantly. Therefore, it seems clinical judgment cannot be done based on adnexal data in all societies.

Keywords: Obstructive Sleep Apnea (OSAS); Heart Rate Variability (HRV); Apnea Hypopnea index (AHI); Oxygen Desaturation Index (ODI)

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