Respiratory Events in Laparoscopic Gastric Bypass Surgery Patients

22 patients undergoing laparoscopic gastric bypass surgery were monitored for respiratory events and oxygen desaturation. Data includes continuous recordings, 5-minute interval overnight monitoring, and medication details like hydromorphone dosing. The dataset, associated with author Patrick Ziemann-Gimmel, was collected to correlate different monitoring methods.

Use Cases

• Correlating continuous oxygen desaturation data with 5-minute interval monitoring data as mentioned in the description
• Analyzing the impact of hydromorphone and equivalent opioid dosing on respiratory events based on column descriptions
• Modeling the risk of oxygen saturation dropping below 90% (% of time < 90%) during post-surgical monitoring
• Investigating relationships between patient factors like BMI, OSA, and recorded respiratory events

Strengths

• Data was collected from 22 patients, providing a basis for correlation analysis.
• Includes multiple data collection methods (continuous and 5-minute interval) which were found to have good correlation.
• Description provides specific definitions for key metrics like '% of time < 90%' and '% missing'.

Limitations

• Column-level documentation is absent; field semantics must be inferred from the description after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Last update date is unknown; freshness unverified.

Provenance

Source

paperswithcode, author Patrick Ziemann-Gimmel

Collection Method

Clinical monitoring of patients undergoing surgery; data collected both via continuous recording and 5-minute interval points.