[Compare the differences between automatic analysis and manual analysis of apnea events in polysomnogram]

Area of Science:

• Sleep Medicine
• Respiratory Physiology

Background:

• Sleep apnea hypopnea syndrome (SAHS) diagnosis relies on polysomnography (PSG).
• Automated analysis of PSG data is increasingly common but may lack accuracy.

Purpose of the Study:

• To compare the diagnostic accuracy of automatic versus manual analysis of respiratory events in PSG for SAHS.
• To determine if automated PSG analysis deviates from clinical presentation.

Main Methods:

• Sixty individuals with snoring underwent a 7-hour overnight sleep monitoring.
• Polysomnograms were analyzed using both the sleep monitor's software (automatic) and manual review.
• Statistical analysis was performed on the data from both analysis methods.

Main Results:

• Significant differences were observed between automatic and manual analyses for key indices: apnea-hypopnea index (AHI), apnea index, hypopnea index, and duration of apneas.
• Data derived from manual analysis demonstrated greater consistency with patients' clinical symptoms compared to automatic analysis.
• Automated analysis showed a deviation in diagnosing the pathogenetic basis of SAHS.

Conclusions:

• Automatic analysis of PSG data can lead to diagnostic deviations for SAHS.
• Manual analysis of polysomnograms is generally recommended to enhance the accuracy of clinical diagnosis.
• Ensuring accurate SAHS diagnosis requires careful manual interpretation of PSG data.