Platelets · 2011
Mean Platelet Volume and Platelet Distribution Width in non-diabetic subjects with obstructive sleep apnoea syndrome: new indices of severity?
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Nena E, Papanas N, Steiropoulos P, Zikidou P, Zarogoulidis P, Pita E, Constantinidis T C, Maltezos E, Mikhailidis D P, Bouros D
Аннотация
UNLABELLED: To evaluate Mean Platelet Volume (MPV) and Platelet Distribution Width (PDW) in non-diabetic subjects, according to obstructive sleep apnoea syndrome (OSAS) severity and the associations of these indices with anthropometric characteristics and parameters of breathing function during sleep.
MATERIALS AND METHODS: We included 610 non-diabetic subjects with suspected OSAS, evaluated by polysomnography. According to their apnoea-hypopnoea index (AHI), patients were divided into Group A (n=148) with AHI<5/h; Group B (n=121) with AHI: 5-14.9/h; Group C (n=85) with AHI: 15-29.9/h and Group D (n=256) with AHI ≥ 30/h. MPV and PDW were measured using an automated blood cell counter.
RESULTS: MPV was significantly higher in group D (mean value 12.1 ± 1.3 fl) than in groups A (9.8 ± 1.1 fl), B (9.8 ± 1.6 fl), and C (11.5 ± 1.3 fl) (p<0.001). The same pattern was observed in PDW values (15.9 ± 2.2 fl for group D and 13.2 ± 2.2 fl for group A, 14.1 ± 2.8 fl for group B, and 15 ± 2.2 fl for group C, p<0.001). Significant correlations were seen between MPV and AHI (p<0.001), average pulse oxygen saturation (SpO(2)) (p<0.001), minimum SpO(2) (p<0.001) and percent of the total sleep time with SpO(2) lower than 90% (t<90%) (p<0.001) during sleep, Arousal Index (p<0.001) and Epworth sleepiness scale (ESS) (p=0.028). Similarly, PDW was correlated with AHI (p<0.001), average SpO(2) (p=0.001), minimum SpO(2) (p<0.001), t<90% (p=0.002), and Arousal Index (p<0.001).
CONCLUSIONS: MPV and PDW are higher in non-diabetic patients with severe OSAS and are correlated with different parameters of breathing function during sleep.
MATERIALS AND METHODS: We included 610 non-diabetic subjects with suspected OSAS, evaluated by polysomnography. According to their apnoea-hypopnoea index (AHI), patients were divided into Group A (n=148) with AHI<5/h; Group B (n=121) with AHI: 5-14.9/h; Group C (n=85) with AHI: 15-29.9/h and Group D (n=256) with AHI ≥ 30/h. MPV and PDW were measured using an automated blood cell counter.
RESULTS: MPV was significantly higher in group D (mean value 12.1 ± 1.3 fl) than in groups A (9.8 ± 1.1 fl), B (9.8 ± 1.6 fl), and C (11.5 ± 1.3 fl) (p<0.001). The same pattern was observed in PDW values (15.9 ± 2.2 fl for group D and 13.2 ± 2.2 fl for group A, 14.1 ± 2.8 fl for group B, and 15 ± 2.2 fl for group C, p<0.001). Significant correlations were seen between MPV and AHI (p<0.001), average pulse oxygen saturation (SpO(2)) (p<0.001), minimum SpO(2) (p<0.001) and percent of the total sleep time with SpO(2) lower than 90% (t<90%) (p<0.001) during sleep, Arousal Index (p<0.001) and Epworth sleepiness scale (ESS) (p=0.028). Similarly, PDW was correlated with AHI (p<0.001), average SpO(2) (p=0.001), minimum SpO(2) (p<0.001), t<90% (p=0.002), and Arousal Index (p<0.001).
CONCLUSIONS: MPV and PDW are higher in non-diabetic patients with severe OSAS and are correlated with different parameters of breathing function during sleep.