A clinical dataset from Harvard Dataverse, authored by Zhang Fan, investigating the association between sustained intraoperative hypotension (SIH) and postoperative nausea and vomiting (PONV) in shoulder arthroscopic surgery. The dataset likely contains patient records and surgical metrics from a study concluding SIH may serve as a clinically relevant predictor for PONV. The record was last updated on June 11, 2026.
Use Cases
- Predict postoperative nausea and vomiting (PONV) based on sustained intraoperative hypotension (SIH) metrics.
- Analyze risk factors for complications following shoulder arthroscopic surgery.
- Build models to identify patients at higher risk for PONV based on surgical data.
- Study the relationship between controlled hypotension during surgery and adverse postoperative events.
Strengths
- Focuses on a specific clinical association (SIH and PONV) with a clear research conclusion.
- Hosted on the Harvard Dataverse platform, suggesting institutional provenance.
- Last updated date is provided (2026-06-11).
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Harvard Dataverse
- Freshness
- Last updated 2026-06-11 12:11:05; freshness should be verified.