This study demonstrates that using different published standard hypopnea definitions leads to marked differences in AHI. These results provide insight to clinicians and researchers in interpreting results obtained using different published standard hypopnea definitions, and they suggest that consideration should be given to revising the current scoring recommendations to include a single standardized hypopnea definition.

Objective-Motor and cognitive function were compared in

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To determine whether pulmonary hypertension (PH) can occur in obstructive sleep apnea syndrome (OSAS) in the absence of lung or primary cardiac disease, we studied 27 patients (26 males, mean age 49 +/- 10 yr) with OSAS (respiratory disturbance index [RDI] > 10 events/h) in whom clinically significant lung or cardiac diseases were excluded. Pulsed Doppler measurements of pulmonary hemodynamics, pulmonary function tests, arterial blood gas analysis, and polysomnography were performed. A total of 11 OSAS patients (41%) were found to have pulmonary hypertension. The levels of PH were relatively mild (Ppa < or = 26 mm Hg). There were no differences between PH and non-PH patients in body mass index (BMI), smoking history, or lung function. PH patients were more hypoxemic when awake than non-PH patients (PaO2 = 72.2 +/- 7.6 versus 77.6 +/- 7.3 mm Hg, respectively; p < 0.05) but did not differ in severity of sleep apnea (RDI = 51.9 +/- 25.1 versus 56.8 +/- 26.2 events/h, respectively; p = NS) or indices of sleep desaturation. The hypoxemia in PH patients could not be explained by impairment of lung function, greater body mass, or a higher prevalence of smoking, and PaO2 in the study population was significantly correlated with Ppa (r = -0.46, p < 0.02) but not with FEV1 or BMI. We conclude that lung disease is not a prerequisite for PH in OSAS.(ABSTRACT TRUNCATED AT 250 WORDS)

The causes of exercise-induced hypoxemia (EIH) remain unclear. We studied the mechanisms of EIH in highly trained cyclists. Five subjects had no significant change from resting arterial PO(2) (Pa(O(2)); 92.1 +/- 2.6 Torr) during maximal exercise (C), and seven subjects (E) had a >10-Torr reduction in Pa(O(2)) (81.7 +/- 4.5 Torr). Later, they were studied at rest and during various exercise intensities by using the multiple inert gas elimination technique in normoxia and hypoxia (13.2% O(2)). During normoxia at 90% peak O(2) consumption, Pa(O(2)) was lower in E compared with C (87 +/- 4 vs. 97 +/- 6 Torr, P < 0.001) and alveolar-to-arterial O(2) tension difference (A-aDO(2)) was greater (33 +/- 4 vs. 23 +/- 1 Torr, P < 0. 001). Diffusion limitation accounted for 23 (E) and 13 Torr (C) of the A-aDO(2) (P < 0.01). There were no significant differences between groups in arterial PCO(2) (Pa(CO(2))) or ventilation-perfusion (VA/Q) inequality as measured by the log SD of the perfusion distribution (logSD(Q)). Stepwise multiple linear regression revealed that lung O(2) diffusing capacity (DL(O(2))), logSD(Q), and Pa(CO(2)) each accounted for approximately 30% of the variance in Pa(O(2)) (r = 0.95, P < 0.001). These data suggest that EIH has a multifactorial etiology related to DL(O(2)), VA/Q inequality, and ventilation.