Pediatric CVC Thrombosis Risk Factors and Prediction Model

A study of 188 critically ill pediatric patients with central venous catheters identified 31 cases of catheter-related thrombosis. It analyzes risk factors including age, catheter type, parenteral nutrition, D-dimer, and fibrinogen levels to develop a validated nomogram prediction model with an AUC of 0.952. The dataset supports the development of a risk prediction tool for this specific medical complication.

Use Cases

• Develop a risk prediction model for CVC-related thrombosis using independent predictors like age, parenteral nutrition status, D-dimer, and fibrinogen levels.
• Analyze the association between catheter type and thrombosis incidence within a cohort of 188 critically ill children.
• Validate the discriminative ability of a clinical nomogram using the reported area under the ROC curve of 0.952.

Strengths

• The study is based on clinical data from 188 pediatric patients, providing a specific cohort size.
• The prediction model achieved a high discriminative performance, with an area under the ROC curve of 0.952.
• Identifies specific, clinically measurable risk factors such as D-dimer and fibrinogen levels.

Limitations

• The dataset is small, with only 188 patients and 31 positive thrombosis events, limiting statistical power for some analyses.
• The data is contained within a document file (DOCX), requiring extraction and structuring before computational analysis.
• Geographic and institutional origin of the patient cohort is not specified, which may limit generalizability.

Provenance

Source

figshare, authored by Xiaolan Zhou.

Collection Method

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

Time Range

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Freshness

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Geography

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