ADVERTISEMENT

Issue Navigator

Volume 08 No. 05
Earn CME
Accepted Papers
Classifieds







Scientific Investigations

Can Red Blood Cell Distribution Width Predict Severity of Obstructive Sleep Apnea Syndrome?

http://dx.doi.org/10.5664/jcsm.2146

Sinem Nedime Sökücü, M.D.; Levent Karasulu, M.D.; Levent Dalar, M.D.; Ekrem Cengiz Seyhan, M.D.; Sedat Altın, M.D.
Yedikule Chest Diseases and Thoracic Surgery Training and Research Hospital, Sleep Laboratory, Istanbul, Turkey

Study Objectives:

Red blood cell distribution width (RDW) is a newly recognized risk marker for various diseases. We evaluated the value of RDW in predicting the severity of obstructive sleep apnea syndrome (OSAS).

Methods:

From retrospective analyses of 526 patients admitted to our sleep laboratory for polysomnography between January 2010 and July 2011, 108 patients with complete medical records and hemogram analyses were evaluated.

Results:

The study population consisted of 108 patients (age: 49.16 ± 11.1 [range 16-76] years; 72 [66.7%] males). In the overall population, the mean RDW was 14.04 (± 2.37), and 31 patients (28.7%) had RDW > 15. RDW increased significantly with increased severity of OSAS (p = 0.046) and was positively correlated with the apnea-hypopnea index (p = 0.002, r = 0.300), even in the non-anemic group (p = 0.013, r = 0.291). The apnea-hypopnea index was significantly higher in the group with high RDW (> 15; p = 0.046). RDW was negatively correlated with sleep time (p = 0.028, r = 0.217), average oxygen saturation of hemoglobin (p = 0.003, r = -0.239), and minimum desaturation value (p = 0.016, r = -0.235).

Conclusions:

In patients referred with a clinical diagnosis of OSAS, RDW may be a marker for the severity of the condition. As RDW is usually included in a complete blood count, it could provide an inexpensive tool for triaging OSAS patients for polysomnography evaluation.

Citation:

Sökücü SN; Karasulu L; Dalar L; Seyhan EC; Altın S. Can red blood cell distribution width predict severity of obstructive sleep apnea syndrome? J Clin Sleep Med 2012;8(5):521-525.




Please login to continue reading the full article

Subscribers to JCSM get full access to current and past issues of the JCSM.

Login to JCSM

Not a subscriber?

Join the American Academy of Sleep Medicine and receive a subscription to JCSM with your membership