Patient Clinical Characteristics Stratified by Perioperative Respiratory Events

A clinical dataset from figshare stratifying patient characteristics by the occurrence of perioperative respiratory adverse events. The data, presented as counts and percentages, was authored by Isabela S. Sirtoli and last updated on April 21, 2026. The dataset is a 9.5 KB Excel file.

Use Cases

• Identify risk factors for perioperative respiratory adverse events based on stratified patient characteristics.
• Compare clinical profiles between patient groups with and without respiratory complications.
• Support statistical modeling for predicting postoperative respiratory outcomes based on patient demographics and clinical features.

Strengths

• Data is clearly stratified into three groups: entire sample, patients with events, and patients without events.
• Data is presented with counts and percentages, facilitating direct statistical interpretation.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download.
• The dataset is very small at 9.5 KB, indicating a limited scope or sample size.

Provenance

Source

figshare, authored by Isabela S. Sirtoli.

Collection Method

Likely collected from clinical records or a study, as inferred from the description of patient stratification.

Time Range

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Freshness

Last updated 2026-04 21 17:39:42; freshness should be verified.

Geography

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