Pediatric CVC Thrombosis Risk Factors and Prediction Model

A study of 188 critically ill pediatric patients with central venous catheters identified risk factors for catheter-related thrombosis. The dataset, derived from clinical records, includes 31 thrombosis cases and was used to build a nomogram prediction model with an AUC of 0.952. It was authored by Xiaolan Zhou and published on figshare.

Use Cases

• Analyze the correlation between D-dimer levels and the incidence of CVC-related thrombosis in pediatric patients.
• Validate the predictive performance of the nomogram model using the identified independent risk factors like age and fibrinogen levels.
• Investigate the role of parenteral nutrition status as a predictor for thrombosis in the 188-patient cohort.

Strengths

• Model validation shows strong discriminative ability with an AUC of 0.952.
• Clear clinical focus on a specific complication (CVC-RT) in a defined population of 188 critically ill children.
• Study design includes a comparison between thrombosis (n=31) and non-thrombosis groups.

Limitations

• Small sample size of 188 patients limits statistical power and generalizability.
• Dataset scope is limited to a single study's clinical analysis, not raw patient-level data.
• Data is presented in a summary document (DOCX), not in a structured, machine-readable tabular format.

Provenance

Source

figshare, authored by Xiaolan Zhou.

Collection Method

Clinical data collection from 188 enrolled pediatric patients with CVCs, categorized into thrombosis and non-thrombosis groups for analysis.

Time Range

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Freshness

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Geography

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