OBJECTIVES: @entity27 ( @entity27 ) is a risk factor for @entity101 , has effects on cardiovascular system and increases the sympathetic activity. The aim of the study was to evaluate the effectiveness of the non-linear Poincar   plot analysis to predict @entity27 based on polysomnography (PSG). METHODS: The database of this study was collected by the sleep laboratory at the Philipps University in Marburg, Germany. It includes 24 PSG of @entity1 and @entity1 between 27-63 years old with obstructive and mixed @entity387 . The start and end of @entity386 events in PSGs were marked. The Poincar   plots of pre-apneic phase including 4-1 minutes before @entity386 were evaluated. Wilcoxon test was used for statistical analysis. RESULTS: Poincar   analysis showed that the dynamics of chest and respiratory efforts changed two minutes before the @entity386 and @entity15757 /SD2 ratios of these parameters significantly increased in the pre-apneic phase (p  <= 0.01). The @entity15757 /SD2 ratio of nasal airflow did not show significant difference even in episodes close to @entity386 . CONCLUSIONS: Our results suggest that Poincar   plot parameters of PSG have the potential to be considered predictors of @entity386 with the ability to show the dynamic of changes, which could lead to pre-diagnosis or prediction of @entity386 about 2-3 minutes before its occurrence (Tab. 2, Fig. 4, Ref. 23).

Non-linear Poincar   analysis of respiratory efforts in XXXX .

@entity1 :: ('9606', 'Species') :: ['women', 'men'] @entity101 :: ('MESH:D006973', 'Disease') :: ['hypertension'] @entity387 :: ('MESH:D012891', 'Disease') :: ['sleep apnea'] @entity15757 :: ('57306', 'Gene') :: ['SD1'] @entity27 :: ('MESH:D020181', 'Disease') :: ['Obstructive sleep apnea', 'OSA'] @entity386 :: ('MESH:D001049', 'Disease') :: ['apnea']
@entity387 :: (MESH:D012891,Disease) :: ['sleep apnea']
