Acute Pulmonary Embolism Risk Stratification Data from a 2021-2024 Retrospective Study

Yanxian Li's retrospective cohort analysis includes clinical data from 77 patients with acute pulmonary embolism and 89 control individuals treated at Baoshan People’s Hospital between January 2021 and December 2024. The dataset likely contains CTPA-derived imaging parameters, D-dimer levels, and risk group classifications used to assess 30-day prognosis. It is a 26.1 KB DOCX file shared under a CC-BY-4.0 license on figshare.

Use Cases

• Predicting high-risk acute pulmonary embolism based on combined RVD/LVD ratio and D-dimer levels.
• Analyzing the correlation between computed tomographic pulmonary angiography parameters and clinical risk groups.
• Training models to stratify patients into low, intermediate, and high-risk categories for pulmonary embolism.
• Validating imaging biomarkers like the right-to-left ventricular diameter ratio for prognostic assessment.

Strengths

• Includes data from 166 total individuals (77 patients, 89 controls).
• Risk groups are defined with specific sample sizes: low-risk (n=38), intermediate-low-risk (n=17), intermediate-high-risk (n=14), high-risk (n=8).
• Analysis includes specific imaging metrics (RVD/LVD ratio, PA-to-aorta ratio) and laboratory results (D-dimer).

Limitations

• Single-center retrospective design with a limited sample size of 77 patients, as noted in the study conclusion.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Yanxian Li via figshare.

Collection Method

Retrospective cohort study analyzing clinical records and imaging data.

Time Range

January 2021 to December 2024.

Freshness

Last updated 2026-04-09 22:01:49; freshness should be verified.

Geography

Baoshan People’s Hospital (location not fully specified).