Critically Ill COVID-19 Patients Partitioned by Nicotine Dependence Status

A dataset from figshare last updated on April 22, 2026, authored by John Garza. It examines the relative characteristics and outcomes of critically ill COVID-19 patients, partitioned by their nicotine dependence status. The dataset is stored in an XLS file and is 13.5 KB in size.

Use Cases

• Compare clinical characteristics between nicotine-dependent and non-dependent critically ill COVID-19 patients.
• Analyze patient outcomes based on nicotine dependence status mentioned in the description.
• Investigate potential associations between nicotine dependence and severity of COVID 19 illness.

Strengths

• Data is openly licensed under CC-BY-4.0.
• File size of 13.5 KB suggests a focused, manageable dataset for initial analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare, author John Garza.

Collection Method

Method of data gathering is not specified in the provided metadata.

Time Range

Temporal coverage of the patient data is not specified.

Freshness

Last updated 2026-04-22 17:25:02; freshness should be verified.

Geography

Geographic coverage of the patient data is not specified.