Pediatric CVC Thrombosis Risk Model Data

188 critically ill pediatric patients were studied to identify risk factors for central venous catheter-related thrombosis. The dataset supports a nomogram prediction model with an area under the ROC curve of 0.952. It includes clinical variables such as age, catheter type, parenteral nutrition status, D-dimer, and fibrinogen levels.

Use Cases

• Validate the published nomogram prediction model using the 188 patient records and variables like age, D-dimer, and fibrinogen.
• Analyze the relationship between parenteral nutrition status and thrombosis incidence in the pediatric cohort.
• Investigate the distribution of catheter types between the thrombosis and non-thrombosis groups among the 188 children.

Strengths

• Data underpins a validated predictive model with a reported AUC of 0.952.
• Includes 188 patient records with a clear outcome measure (31 thrombosis cases, 16.5% incidence).
• Focuses on a specific, high-risk clinical population of critically ill pediatric patients.

Limitations

• Small sample size of 188 patients limits statistical power for subgroup analyses.
• Data is contained within a document (DOCX) rather than a structured data file, requiring extraction.
• Geographic origin and specific time range of the patient data are not specified.

Provenance

Source

figshare, authored by Xiaolan Zhou.

Collection Method

Clinical data collection from 188 enrolled critically ill pediatric patients with central venous catheters.

Time Range

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Freshness

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Geography

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